diff --git a/CITATION.cff b/CITATION.cff
index 49dedb4..e2968eb 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -9,4 +9,4 @@ repository-code: "https://github.com/nvidia/cuquantum"
type: software
url: "https://github.com/nvidia/cuquantum"
doi: 10.5281/zenodo.6385574
-version: "v22.11.0.1"
+version: "v23.03.0"
diff --git a/LICENSE b/LICENSE
index be414f6..41d91ed 100644
--- a/LICENSE
+++ b/LICENSE
@@ -1,4 +1,4 @@
-Copyright (c) 2021-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
BSD-3-Clause
diff --git a/README.md b/README.md
index 8b168fe..70fbba2 100644
--- a/README.md
+++ b/README.md
@@ -1,10 +1,13 @@
-' nogil:
@@ -33,6 +33,22 @@ cdef extern from '' nogil:
const char* functionName,
const char* message,
void* userData)
+ ctypedef void* _CommunicatorDescriptor 'custatevecCommunicatorDescriptor_t'
+ ctypedef struct _SVSwapParameters 'custatevecSVSwapParameters_t':
+ int32_t swapBatchIndex
+ int32_t orgSubSVIndex
+ int32_t dstSubSVIndex
+ # Same Cython limitation as above
+ int32_t orgSegmentMaskString[48]
+ int32_t dstSegmentMaskString[48]
+ int32_t segmentMaskOrdering[48]
+ uint32_t segmentMaskLen
+ uint32_t nSegmentBits
+ _DataTransferType dataTransferType
+ _Index transferSize
+ ctypedef void* _DistIndexBitSwapSchedulerDescriptor 'custatevecDistIndexBitSwapSchedulerDescriptor_t'
+ ctypedef void* _SVSwapWorkerDescriptor 'custatevecSVSwapWorkerDescriptor_t'
+
# cuStateVec enums
ctypedef enum _ComputeType 'custatevecComputeType_t':
@@ -65,9 +81,22 @@ cdef extern from '' nogil:
CUSTATEVEC_DEVICE_NETWORK_TYPE_SWITCH
CUSTATEVEC_DEVICE_NETWORK_TYPE_FULLMESH
+ ctypedef enum _CommunicatorType 'custatevecCommunicatorType_t':
+ CUSTATEVEC_COMMUNICATOR_TYPE_EXTERNAL
+ CUSTATEVEC_COMMUNICATOR_TYPE_OPENMPI
+ CUSTATEVEC_COMMUNICATOR_TYPE_MPICH
+
+ ctypedef enum _DataTransferType 'custatevecDataTransferType_t':
+ CUSTATEVEC_DATA_TRANSFER_TYPE_NONE
+ CUSTATEVEC_DATA_TRANSFER_TYPE_SEND
+ CUSTATEVEC_DATA_TRANSFER_TYPE_RECV
+ CUSTATEVEC_DATA_TRANSFER_TYPE_SEND_RECV
+
+
# cuStateVec consts
int CUSTATEVEC_VER_MAJOR
int CUSTATEVEC_VER_MINOR
int CUSTATEVEC_VER_PATCH
int CUSTATEVEC_VERSION
int CUSTATEVEC_ALLOCATOR_NAME_LEN
+ int CUSTATEVEC_MAX_SEGMENT_MASK_SIZE
diff --git a/python/cuquantum/custatevec/custatevec.pyx b/python/cuquantum/custatevec/custatevec.pyx
index 63c01ce..502776a 100644
--- a/python/cuquantum/custatevec/custatevec.pyx
+++ b/python/cuquantum/custatevec/custatevec.pyx
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
@@ -8,6 +8,7 @@ cimport cython
from libc.stdio cimport FILE
from libcpp.vector cimport vector
cimport cpython
+#from cpython cimport memoryview as _memoryview
from cuquantum.utils cimport is_nested_sequence
from cuquantum.utils cimport cuqnt_alloc_wrapper
@@ -134,7 +135,37 @@ cdef extern from * nogil:
int custatevecGetDeviceMemHandler(_Handle, _DeviceMemHandler*)
int custatevecSetDeviceMemHandler(_Handle, const _DeviceMemHandler*)
-
+ int custatevecCommunicatorCreate(
+ _Handle, _CommunicatorDescriptor*, _CommunicatorType, char*)
+ int custatevecCommunicatorDestroy(_Handle, _CommunicatorDescriptor)
+ int custatevecDistIndexBitSwapSchedulerCreate(
+ _Handle, _DistIndexBitSwapSchedulerDescriptor*, uint32_t, uint32_t)
+ int custatevecDistIndexBitSwapSchedulerDestroy(
+ _Handle, _DistIndexBitSwapSchedulerDescriptor)
+ int custatevecDistIndexBitSwapSchedulerSetIndexBitSwaps(
+ _Handle, _DistIndexBitSwapSchedulerDescriptor,
+ int2*, uint32_t, int32_t*, int32_t*, uint32_t, uint32_t*)
+ int custatevecDistIndexBitSwapSchedulerGetParameters(
+ _Handle, _DistIndexBitSwapSchedulerDescriptor, int32_t, int32_t,
+ _SVSwapParameters*)
+ int custatevecSVSwapWorkerCreate(
+ _Handle, _SVSwapWorkerDescriptor, _CommunicatorDescriptor, void*,
+ int32_t, Event, DataType, Stream, size_t*, size_t*)
+ int custatevecSVSwapWorkerDestroy(
+ _Handle, _SVSwapWorkerDescriptor)
+ int custatevecSVSwapWorkerSetExtraWorkspace(
+ _Handle, _SVSwapWorkerDescriptor, void*, size_t)
+ int custatevecSVSwapWorkerSetTransferWorkspace(
+ _Handle, _SVSwapWorkerDescriptor, void*, size_t)
+ int custatevecSVSwapWorkerSetSubSVsP2P(
+ _Handle, _SVSwapWorkerDescriptor, void**, int32_t*, Event*, uint32_t)
+ int custatevecSVSwapWorkerSetParameters(
+ _Handle, _SVSwapWorkerDescriptor, _SVSwapParameters*, int)
+ int custatevecSVSwapWorkerExecute(
+ _Handle, _SVSwapWorkerDescriptor, _Index, _Index)
+
+
+# TODO: make this cpdef?
class cuStateVecError(RuntimeError):
def __init__(self, status):
@@ -1989,6 +2020,602 @@ cpdef tuple get_device_mem_handler(intptr_t handle):
name.decode('ascii'))
+cpdef intptr_t communicator_create(
+ intptr_t handle, int communicator_type, str soname="") except*:
+ """Create a cuStateVec distributed communicator.
+
+ Args:
+ handle (intptr_t): The library handle.
+ communicator_type (CommunicatorType): The MPI library behind mpi4py.
+ soname (str): Optional. If the name to the MPI wrapper library is
+ specified, cuStateVec will attempt to load the shared library
+ at runtime to fetch needed MPI symbols.
+
+ Returns:
+ intptr_t: The opaque communicator descriptor (as Python :class:`int`).
+
+ .. seealso:: `custatevecCommunicatorCreate`
+ """
+ cdef _CommunicatorDescriptor comm_desc
+ cdef bytes name = soname.encode()
+ cdef char* name_ptr
+ if len(name) > 0:
+ name_ptr = name
+ else:
+ name_ptr = NULL
+ with nogil:
+ status = custatevecCommunicatorCreate(
+ <_Handle>handle, &comm_desc, <_CommunicatorType>communicator_type,
+ name_ptr)
+ check_status(status)
+ return comm_desc
+
+
+cpdef communicator_destroy(intptr_t handle, intptr_t comm_desc):
+ """Destory the cuStateVec distributed communicator.
+
+ Args:
+ handle (intptr_t): The library handle.
+ comm_desc (intptr_t): The communicator descriptor.
+
+ .. seealso:: `custatevecCommunicatorDestroy`
+ """
+ with nogil:
+ status = custatevecCommunicatorDestroy(
+ <_Handle>handle, <_CommunicatorDescriptor>comm_desc)
+ check_status(status)
+
+
+cpdef intptr_t dist_index_bit_swap_scheduler_create(
+ intptr_t handle, uint32_t n_global_index_bits,
+ uint32_t n_local_index_bits) except*:
+ """Create a cuStateVec distributed index-bit swap scheduler.
+
+ Args:
+ handle (intptr_t): The library handle.
+ n_global_index_bits (uint32_t): The number of global index bits.
+ n_local_index_bits (uint32_t): The number of local index bits.
+
+ Returns:
+ intptr_t: The opaque scheduler descriptor (as Python :class:`int`).
+
+ .. seealso:: `custatevecDistIndexBitSwapSchedulerCreate`
+ """
+ cdef _DistIndexBitSwapSchedulerDescriptor scheduler
+ with nogil:
+ status = custatevecDistIndexBitSwapSchedulerCreate(
+ <_Handle>handle, &scheduler, n_global_index_bits,
+ n_local_index_bits)
+ check_status(status)
+ return scheduler
+
+
+cpdef dist_index_bit_swap_scheduler_destroy(
+ intptr_t handle, intptr_t scheduler):
+ """Destroy the cuStateVec distributed index-bit swap scheduler.
+
+ Args:
+ handle (intptr_t): The library handle.
+ scheduler (intptr_t): The scheduler descriptor.
+
+ .. seealso:: `custatevecDistIndexBitSwapSchedulerDestroy`
+ """
+ with nogil:
+ status = custatevecDistIndexBitSwapSchedulerDestroy(
+ <_Handle>handle, <_DistIndexBitSwapSchedulerDescriptor>scheduler)
+ check_status(status)
+
+
+cpdef uint32_t dist_index_bit_swap_scheduler_set_index_bit_swaps(
+ intptr_t handle, intptr_t scheduler,
+ swapped_bits, uint32_t n_swapped_bits,
+ mask_bit_string, mask_ordering, uint32_t mask_len) except*:
+ """Schedule the index bits to be swapped across processes.
+
+ Args:
+ handle (intptr_t): The library handle.
+ scheduler (intptr_t): The scheduler descriptor.
+ swapped_bits: A host array of pairs of swapped index bits. It can be
+
+ - an :class:`int` as the pointer address to the nested sequence
+ - a nested Python sequence of swapped index bits
+
+ n_swapped_bits (uint32_t): The number of pairs of swapped index bits.
+ mask_bit_string: A host array for specifying mask values. It can be
+
+ - an :class:`int` as the pointer address to the array
+ - a Python sequence of mask values
+
+ mask_ordering: A host array of mask ordering. It can be
+
+ - an :class:`int` as the pointer address to the array
+ - a Python sequence of index bit ordering
+
+ mask_len (uint32_t): The length of ``mask_ordering``.
+
+ .. seealso:: `custatevecDistIndexBitSwapSchedulerSetIndexBitSwaps`
+ """
+ # swapped_bits can be:
+ # - a plain pointer address
+ # - a nested Python sequence (ex: a list of 2-tuples)
+ # Note: it cannot be a mix of sequences and ints. It also cannot be a
+ # 1D sequence (of ints), because it's inefficient.
+ cdef vector[intptr_t] swappedBitsCData
+ cdef int2* swappedBitsPtr
+ if is_nested_sequence(swapped_bits):
+ try:
+ # direct conversion
+ data = _numpy.asarray(swapped_bits, dtype=_numpy.int32)
+ data = data.reshape(-1)
+ except:
+ # unlikely, but let's do it in the stupid way
+ data = _numpy.empty(2*n_swapped_bits, dtype=_numpy.int32)
+ for i, (first, second) in enumerate(swapped_bits):
+ data[2*i] = first
+ data[2*i+1] = second
+ assert data.size == 2*n_swapped_bits
+ swappedBitsPtr = (data.ctypes.data)
+ elif isinstance(swapped_bits, int):
+ # a pointer address, take it as is
+ swappedBitsPtr = swapped_bits
+ else:
+ raise ValueError("swapped_bits is provided in an "
+ "un-recognized format")
+
+ # mask_bit_string can be a pointer address, or a Python sequence
+ cdef vector[int32_t] maskBitStringData
+ cdef int32_t* maskBitStringPtr
+ if cpython.PySequence_Check(mask_bit_string):
+ maskBitStringData = mask_bit_string
+ maskBitStringPtr = maskBitStringData.data()
+ else: # a pointer address
+ maskBitStringPtr = mask_bit_string
+
+ # mask_ordering can be a pointer address, or a Python sequence
+ cdef vector[int32_t] maskOrderingData
+ cdef int32_t* maskOrderingPtr
+ if cpython.PySequence_Check(mask_ordering):
+ maskOrderingData = mask_ordering
+ maskOrderingPtr = maskOrderingData.data()
+ else: # a pointer address
+ maskOrderingPtr = mask_ordering
+
+ cdef uint32_t n_swap_batches
+ with nogil:
+ status = custatevecDistIndexBitSwapSchedulerSetIndexBitSwaps(
+ <_Handle>handle, <_DistIndexBitSwapSchedulerDescriptor>scheduler,
+ swappedBitsPtr, n_swapped_bits,
+ maskBitStringPtr, maskOrderingPtr, mask_len,
+ &n_swap_batches)
+ check_status(status)
+
+ return n_swap_batches
+
+
+_mask_dtype = _numpy.dtype(
+ (_numpy.int32, CUSTATEVEC_MAX_SEGMENT_MASK_SIZE),
+ align=True
+)
+
+
+cdef object _init_sv_swap_parameters_dtype():
+ # offsetof is not exposed to Cython (it's not possible), but luckily we
+ # only need to know this at runtime.
+ cdef _SVSwapParameters param
+
+ sv_swap_parameters_dtype = _numpy.dtype(
+ {'names': ('swap_batch_index', 'org_sub_sv_index', 'dst_sub_sv_index',
+ 'org_segment_mask_string', 'dst_segment_mask_string',
+ 'segment_mask_ordering', 'segment_mask_len', 'n_segment_bits',
+ 'data_transfer_type', 'transfer_size'),
+ 'formats': (_numpy.int32, _numpy.int32, _numpy.int32,
+ _mask_dtype, _mask_dtype,
+ _mask_dtype, _numpy.uint32, _numpy.uint32,
+ _numpy.int32, _numpy.int64),
+ 'offsets': (¶m.swapBatchIndex - ¶m,
+ ¶m.orgSubSVIndex - ¶m,
+ ¶m.dstSubSVIndex - ¶m,
+ ¶m.orgSegmentMaskString - ¶m,
+ ¶m.dstSegmentMaskString - ¶m,
+ ¶m.segmentMaskOrdering - ¶m,
+ ¶m.segmentMaskLen - ¶m,
+ ¶m.nSegmentBits - ¶m,
+ ¶m.dataTransferType - ¶m,
+ ¶m.transferSize - ¶m,
+ ),
+ 'itemsize': sizeof(_SVSwapParameters),
+ }, align=True
+ )
+
+ return sv_swap_parameters_dtype
+
+
+sv_swap_parameters_dtype = _init_sv_swap_parameters_dtype()
+
+
+cdef inline void _check_for_sv_swap_parameters(data) except*:
+ if not isinstance(data, _numpy.ndarray) or data.size != 1:
+ raise ValueError("data must be size-1 NumPy ndarray")
+ if data.dtype != sv_swap_parameters_dtype:
+ raise ValueError("data must be of dtype sv_swap_parameters_dtype")
+
+
+cdef class SVSwapParameters:
+
+ """A wrapper class holding a set of data transfer parameters.
+
+ A instance of this cass can be constructed manually (either without any
+ argument, or using the :meth:`from_data` factory method). The parameters
+ can be retrieved/set via the instance attributes' getters/setters.
+
+ Attributes:
+ swap_batch_index (int32_t): See
+ `custatevecSVSwapParameters_t::swapBatchIndex`.
+ org_sub_sv_index (int32_t): See
+ `custatevecSVSwapParameters_t::orgSubSVIndex`.
+ dst_sub_sv_index (int32_t): See
+ `custatevecSVSwapParameters_t::dstSubSVIndex`.
+ org_segment_mask_string (numpy.ndarray): Should be a 1D array of dtype
+ :obj:`numpy.int32` and of size ``custatevec.MAX_SEGMENT_MASK_SIZE``.
+ See `custatevecSVSwapParameters_t::orgSegmentMaskString`.
+ dst_segment_mask_string (numpy.ndarray): Should be a 1D array of dtype
+ :obj:`numpy.int32` and of size ``custatevec.MAX_SEGMENT_MASK_SIZE``.
+ See `custatevecSVSwapParameters_t::dstSegmentMaskString`.
+ segment_mask_ordering (numpy.ndarray): Should be a 1D array of dtype
+ :obj:`numpy.int32` and of size ``custatevec.MAX_SEGMENT_MASK_SIZE``.
+ See `custatevecSVSwapParameters_t::segmentMaskOrdering`.
+ segment_mask_len (uint32_t): See
+ `custatevecSVSwapParameters_t::segmentMaskLen`.
+ n_segment_bits (uint32_t): See
+ `custatevecSVSwapParameters_t::nSegmentBits`.
+ data_transfer_type (DataTransferType): See
+ `custatevecSVSwapParameters_t::dataTransferType`.
+ transfer_size (int64_t): See
+ `custatevecSVSwapParameters_t::transferSize`.
+
+ .. seealso:: `custatevecSVSwapParameters_t`
+ """
+
+ cdef:
+ readonly object data
+ """data (numpy.ndarray): The underlying storage."""
+
+ readonly intptr_t ptr
+ """ptr (intptr_t): The pointer address (as Python :class:`int`) to the
+ underlying storage.
+ """
+
+ def __init__(self):
+ self.data = _numpy.empty((1,), dtype=sv_swap_parameters_dtype)
+ self.ptr = self.data.ctypes.data
+
+ def __getattr__(self, attr):
+ return self.data[attr]
+
+ def __setattr__(self, attr, val):
+ if attr in ('data', 'ptr'):
+ # because we redirect to internal storage, we need to hardwire
+ # Cython's err msg for readonly attrs
+ raise AttributeError(f"attribute '{attr}' of SVSwapParameters "
+ "objects is not writable")
+ else:
+ self.data[attr] = val
+
+ def __repr__(self):
+ return repr(self.data)
+
+ def __eq__(self, other):
+ return self.data == other.data
+
+ # has to be cdef so as to access cdef attributes
+ cdef inline _data_setter(self, data):
+ _check_for_sv_swap_parameters(data)
+ self.data = data
+ self.ptr = data.ctypes.data
+
+ @staticmethod
+ def from_data(data):
+ """Construct an :class:`SVSwapParameters` instance from an existing
+ NumPy ndarray.
+
+ Args:
+ data (numpy.ndarray): Must be a size-1 NumPy ndarray of dtype
+ :obj:`sv_swap_parameters_dtype`.
+ """
+ cdef SVSwapParameters param = SVSwapParameters.__new__(SVSwapParameters)
+ param._data_setter(data)
+ return param
+
+ # This works, but is really not very useful. If users manage to create the
+ # struct from within Python, they either do it with np.ndarray already (which
+ # would be silly that we create a view over), or they are smarter / more
+ # creative than we do, and in that case they just don't need this.
+ # @staticmethod
+ # def from_ptr(ptr):
+ # # No check could be done.
+ # cdef SVSwapParameters param = SVSwapParameters.__new__(SVSwapParameters)
+ # # create a legit view over the memory
+ # cdef object buf = _memoryview.PyMemoryView_FromMemory(
+ # ptr, sizeof(_SVSwapParameters), cpython.PyBUF_WRITE)
+ # data = _numpy.ndarray((1,), buffer=buf,
+ # dtype=sv_swap_parameters_dtype)
+ # param.data = data
+ # param.ptr = ptr
+ # return param
+
+
+cpdef SVSwapParameters dist_index_bit_swap_scheduler_get_parameters(
+ intptr_t handle, intptr_t scheduler, int32_t swap_batch_index,
+ int32_t org_sub_sv_index, params=None):
+ """Get the data transfer parameters from the scheduler.
+
+ Args:
+ handle (intptr_t): The library handle.
+ scheduler (intptr_t): The scheduler descriptor.
+ swap_batch_index (int32_t): The swap batch index for statevector
+ swap parameters.
+ org_sub_sv_index (int32_t): The index of the origin sub statevector.
+ params: Optional. If set, it should be
+
+ - an :class:`int` as the pointer address to the struct
+ - a :class:`numpy.ndarray` of dtype :obj:`sv_swap_parameters_dtype`
+ - a :class:`SVSwapParameters`
+
+ and the result would be written in-place. Additionally, if an
+ :class:`int` is passed, there is no return value.
+
+ Returns:
+ SVSwapParameters:
+ the data transfer parameters that can be consumed later by a data
+ transfer worker.
+
+ .. seealso:: `custatevecDistIndexBitSwapSchedulerGetParameters`
+ """
+ cdef SVSwapParameters param = None # placeholder
+ cdef _SVSwapParameters* paramPtr = NULL # placeholder
+ cdef bint to_return = True
+
+ if params is None:
+ param = SVSwapParameters()
+ else:
+ if isinstance(params, SVSwapParameters):
+ param = params
+ elif isinstance(params, _numpy.ndarray):
+ param = SVSwapParameters.from_data(params) # also check validity
+ elif isinstance(params, int):
+ #param = SVSwapParameters.from_ptr(params)
+ # no check, user is responsible
+ # don't even create an SVSwapParameters instance, we want it to
+ # be blazingly fast
+ paramPtr = <_SVSwapParameters*>params
+ to_return = False
+ else:
+ raise ValueError("params must be of type SVSwapParameters or "
+ "of dtype sv_swap_parameters_dtype")
+ if paramPtr == NULL:
+ paramPtr = <_SVSwapParameters*>param.ptr
+
+ with nogil:
+ status = custatevecDistIndexBitSwapSchedulerGetParameters(
+ <_Handle>handle, <_DistIndexBitSwapSchedulerDescriptor>scheduler,
+ swap_batch_index, org_sub_sv_index, paramPtr)
+ check_status(status)
+ return param if to_return else None
+
+
+cpdef (intptr_t, size_t, size_t) sv_swap_worker_create(
+ intptr_t handle, intptr_t comm_desc,
+ intptr_t org_sub_sv, int32_t org_sub_sv_idx,
+ intptr_t org_event, int sv_data_type, intptr_t stream) except*:
+ """Create a cuStateVec distributed statevector swap worker.
+
+ Args:
+ handle (intptr_t): The library handle.
+ comm_desc (intptr_t): The communicator descriptor.
+ org_sub_sv (intptr_t): The pointer address to a sub statevector.
+ org_sub_sv_idx (int32_t): The index of the sub statevector as
+ specified by ``org_sub_sv``.
+ org_event (intptr_t): A CUDA event handle (``cudaEvent_t`` as Python
+ :class:`int`) for synchronizing with the peer worker.
+ sv_data_type (cuquantum.cudaDataType): The data type of the statevector.
+ stream (intptr_t): The CUDA stream handle (``cudaStream_t`` as Python
+ :class:`int`).
+
+ Returns:
+ Tuple:
+ A 3-tuple. The first element is the opaque worker descriptor (as
+ Python :class:`int`). The second element is the extra workspace
+ size (in bytes). The third element is the minimal transfer
+ workspace size (in bytes).
+
+ .. seealso:: `custatevecSVSwapWorkerCreate`
+ """
+ cdef _SVSwapWorkerDescriptor worker
+ cdef size_t extra_size, min_size
+ with nogil:
+ status = custatevecSVSwapWorkerCreate(
+ <_Handle>handle, &worker, <_CommunicatorDescriptor>comm_desc,
+ org_sub_sv, org_sub_sv_idx,
+ org_event, sv_data_type, stream,
+ &extra_size, &min_size)
+ check_status(status)
+ return (worker, extra_size, min_size)
+
+
+cpdef sv_swap_worker_destroy(
+ intptr_t handle, intptr_t worker):
+ """Destroy the cuStateVec distributed statevector swap worker.
+
+ Args:
+ handle (intptr_t): The library handle.
+ worker (intptr_t): The worker descriptor.
+
+ .. seealso:: `custatevecSVSwapWorkerDestroy`
+ """
+ with nogil:
+ status = custatevecSVSwapWorkerDestroy(
+ <_Handle>handle, <_SVSwapWorkerDescriptor>worker)
+ check_status(status)
+
+
+cpdef sv_swap_worker_set_extra_workspace(
+ intptr_t handle, intptr_t worker, intptr_t ptr, size_t size):
+ """Set the extra workspace for the distributed statevector swap worker.
+
+ Args:
+ handle (intptr_t): The library handle.
+ worker (intptr_t): The worker descriptor.
+ ptr (intptr_t): The pointer address (as Python :class:`int`) to the
+ extra workspace (on device).
+ size (size_t): The extra workspace size (in bytes).
+
+ .. seealso:: `custatevecSVSwapWorkerSetExtraWorkspace`
+ """
+ with nogil:
+ status = custatevecSVSwapWorkerSetExtraWorkspace(
+ <_Handle>handle, <_SVSwapWorkerDescriptor>worker,
+ ptr, size)
+ check_status(status)
+
+
+cpdef sv_swap_worker_set_transfer_workspace(
+ intptr_t handle, intptr_t worker, intptr_t ptr, size_t size):
+ """Set the transfer workspace for the distributed statevector swap worker.
+
+ Args:
+ handle (intptr_t): The library handle.
+ worker (intptr_t): The worker descriptor.
+ ptr (intptr_t): The pointer address (as Python :class:`int`) to the
+ transfer workspace (on device).
+ size (size_t): The transfer workspace size (in bytes).
+
+ .. seealso:: `custatevecSVSwapWorkerSetTransferWorkspace`
+ """
+ with nogil:
+ status = custatevecSVSwapWorkerSetTransferWorkspace(
+ <_Handle>handle, <_SVSwapWorkerDescriptor>worker,
+ ptr, size)
+ check_status(status)
+
+
+cpdef sv_swap_worker_set_sub_svs_p2p(
+ intptr_t handle, intptr_t worker, dst_sub_svs, dst_sub_sv_indices,
+ dst_events, uint32_t n_dst_sub_svs):
+ """Set P2P access for the distributed sub statevectors.
+
+ Args:
+ handle (intptr_t): The library handle.
+ worker (intptr_t): The worker descriptor.
+ dst_sub_svs: A host array of pointer addresses to sub statevectors
+ to be accessed via GPUDirect P2P. It can be:
+
+ - an :class:`int` as the pointer address to the array
+ - a Python sequence of pointer addresses
+
+ dst_sub_sv_indices: A host array of sub statevector indices as
+ specified by ``dst_sub_svs``. It can be:
+
+ - an :class:`int` as the pointer address to the array
+ - a Python sequence of indices.
+
+ dst_events: A host array of CUDA events used to create peer workers.
+ It can be:
+
+ - an :class:`int` as the pointer address to the array
+ - a Python sequence of events.
+
+ n_dst_sub_svs (uint32_t): The number of sub statevectors as
+ specified by ``dst_sub_svs``.
+
+ .. seealso:: `custatevecSVSwapWorkerSetSubSVsP2P`
+ """
+ # dst_sub_svs can be a pointer address, or a Python sequence
+ cdef vector[intptr_t] subSVsData
+ cdef void** subSVsPtr
+ if cpython.PySequence_Check(dst_sub_svs):
+ subSVsData = dst_sub_svs
+ subSVsPtr = subSVsData.data()
+ else: # a pointer address
+ subSVsPtr = dst_sub_svs
+
+ # dst_sub_sv_indices can be a pointer address, or a Python sequence
+ cdef vector[int32_t] subSVsIndicesData
+ cdef int32_t* subSVsIndicesPtr
+ if cpython.PySequence_Check(dst_sub_sv_indices):
+ subSVsIndicesData = dst_sub_sv_indices
+ subSVsIndicesPtr = subSVsIndicesData.data()
+ else: # a pointer address
+ subSVsIndicesPtr = dst_sub_sv_indices
+
+ # dst_events can be a pointer address, or a Python sequence
+ cdef vector[intptr_t] eventsData
+ cdef Event* eventsPtr
+ if cpython.PySequence_Check(dst_events):
+ eventsData = dst_events
+ eventsPtr = eventsData.data()
+ else: # a pointer address
+ eventsPtr = dst_events
+
+ with nogil:
+ status = custatevecSVSwapWorkerSetSubSVsP2P(
+ <_Handle>handle, <_SVSwapWorkerDescriptor>worker,
+ subSVsPtr, subSVsIndicesPtr, eventsPtr, n_dst_sub_svs)
+ check_status(status)
+
+
+cpdef sv_swap_worker_set_parameters(
+ intptr_t handle, intptr_t worker, params, int peer):
+ """Set data transfer parameters for the distributed sub statevector
+ swap workers.
+
+ Args:
+ handle (intptr_t): The library handle.
+ worker (intptr_t): The worker descriptor.
+ params: The data transfer parameters. It can be:
+
+ - an :class:`int` as the pointer address to the struct
+ - a :class:`numpy.ndarray` of dtype :obj:`sv_swap_parameters_dtype`
+ - a :class:`SVSwapParameters`
+ peer (int): The peer process identifier of the data transfer.
+
+ .. seealso:: `custatevecSVSwapWorkerSetParameters`
+ """
+ cdef _SVSwapParameters* paramPtr
+ if isinstance(params, SVSwapParameters):
+ paramPtr = <_SVSwapParameters*>params.ptr
+ elif isinstance(params, _numpy.ndarray):
+ _check_for_sv_swap_parameters(params)
+ paramPtr = <_SVSwapParameters*>params.ctypes.data
+ elif isinstance(params, int):
+ paramPtr = <_SVSwapParameters*>params
+ else:
+ raise ValueError("params must be of type SVSwapParameters, "
+ "numpy.ndarray, or int")
+
+ with nogil:
+ status = custatevecSVSwapWorkerSetParameters(
+ <_Handle>handle, <_SVSwapWorkerDescriptor>worker, paramPtr, peer)
+ check_status(status)
+
+
+cpdef sv_swap_worker_execute(
+ intptr_t handle, intptr_t worker, _Index begin, _Index end):
+ """Execute the swapping of distributed sub statevectors.
+
+ Args:
+ handle (intptr_t): The library handle.
+ worker (intptr_t): The worker descriptor.
+ begin (int64_t): The index to start transfer (inclusive).
+ end (int64_t): The index to end transfer (exclusive).
+
+ .. seealso:: `custatevecSVSwapWorkerExecute`
+ """
+ with nogil:
+ status = custatevecSVSwapWorkerExecute(
+ <_Handle>handle, <_SVSwapWorkerDescriptor>worker, begin, end)
+ check_status(status)
+
+
# can't be cpdef because args & kwargs can't be handled in a C signature
def logger_set_callback_data(callback, *args, **kwargs):
"""Set the logger callback along with arguments.
@@ -2097,6 +2724,19 @@ class DeviceNetworkType(IntEnum):
SWITCH = CUSTATEVEC_DEVICE_NETWORK_TYPE_SWITCH
FULLMESH = CUSTATEVEC_DEVICE_NETWORK_TYPE_FULLMESH
+class CommunicatorType(IntEnum):
+ """See `custatevecCommunicatorType_t`."""
+ EXTERNAL = CUSTATEVEC_COMMUNICATOR_TYPE_EXTERNAL
+ OPENMPI = CUSTATEVEC_COMMUNICATOR_TYPE_OPENMPI
+ MPICH = CUSTATEVEC_COMMUNICATOR_TYPE_MPICH
+
+class DataTransferType(IntEnum):
+ """See `custatevecDataTransferType_t`."""
+ NONE = CUSTATEVEC_DATA_TRANSFER_TYPE_NONE
+ SEND = CUSTATEVEC_DATA_TRANSFER_TYPE_SEND
+ RECV = CUSTATEVEC_DATA_TRANSFER_TYPE_RECV
+ SEND_RECV = CUSTATEVEC_DATA_TRANSFER_TYPE_SEND_RECV
+
del IntEnum
@@ -2106,6 +2746,8 @@ MAJOR_VER = CUSTATEVEC_VER_MAJOR
MINOR_VER = CUSTATEVEC_VER_MINOR
PATCH_VER = CUSTATEVEC_VER_PATCH
VERSION = CUSTATEVEC_VERSION
+ALLOCATOR_NAME_LEN = CUSTATEVEC_ALLOCATOR_NAME_LEN
+MAX_SEGMENT_MASK_SIZE = CUSTATEVEC_MAX_SEGMENT_MASK_SIZE
# who owns a reference to user-provided Python objects (k: owner, v: object)
diff --git a/python/cuquantum/cutensornet/__init__.py b/python/cuquantum/cutensornet/__init__.py
index 162bf55..9bf639d 100644
--- a/python/cuquantum/cutensornet/__init__.py
+++ b/python/cuquantum/cutensornet/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
@@ -8,3 +8,5 @@
from cuquantum.cutensornet.tensor_network import *
from cuquantum.cutensornet.circuit_converter import *
from cuquantum.cutensornet._internal.utils import get_mpi_comm_pointer
+from . import experimental
+from . import tensor
diff --git a/python/cuquantum/cutensornet/_internal/__init__.py b/python/cuquantum/cutensornet/_internal/__init__.py
index c08f9b5..f9634d8 100644
--- a/python/cuquantum/cutensornet/_internal/__init__.py
+++ b/python/cuquantum/cutensornet/_internal/__init__.py
@@ -1,3 +1,3 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/cuquantum/cutensornet/_internal/circuit_converter_utils.py b/python/cuquantum/cutensornet/_internal/circuit_converter_utils.py
index 3ff7fbb..26bd8ea 100644
--- a/python/cuquantum/cutensornet/_internal/circuit_converter_utils.py
+++ b/python/cuquantum/cutensornet/_internal/circuit_converter_utils.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/cuquantum/cutensornet/_internal/circuit_parser_utils_cirq.py b/python/cuquantum/cutensornet/_internal/circuit_parser_utils_cirq.py
index 68c7c6b..73a4c6d 100644
--- a/python/cuquantum/cutensornet/_internal/circuit_parser_utils_cirq.py
+++ b/python/cuquantum/cutensornet/_internal/circuit_parser_utils_cirq.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/cuquantum/cutensornet/_internal/circuit_parser_utils_qiskit.py b/python/cuquantum/cutensornet/_internal/circuit_parser_utils_qiskit.py
index eb0caad..c0c7f56 100644
--- a/python/cuquantum/cutensornet/_internal/circuit_parser_utils_qiskit.py
+++ b/python/cuquantum/cutensornet/_internal/circuit_parser_utils_qiskit.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/cuquantum/cutensornet/_internal/decomposition_utils.py b/python/cuquantum/cutensornet/_internal/decomposition_utils.py
new file mode 100644
index 0000000..7ada989
--- /dev/null
+++ b/python/cuquantum/cutensornet/_internal/decomposition_utils.py
@@ -0,0 +1,392 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""
+A collection of utility functions for decomposition.
+"""
+
+import logging
+
+import numpy
+
+from . import einsum_parser
+from . import formatters
+from . import tensor_wrapper
+from . import typemaps
+from . import utils
+from .. import cutensornet as cutn
+from .. import memory
+
+
+DECOMPOSITION_DTYPE_NAMES = ('float32', 'float64', 'complex64', 'complex128')
+
+#TODO: auto generate the maps below
+
+PARTITION_MAP = {None: cutn.TensorSVDPartition.NONE,
+ 'U': cutn.TensorSVDPartition.US,
+ 'V': cutn.TensorSVDPartition.SV,
+ 'UV': cutn.TensorSVDPartition.UV_EQUAL}
+
+NORMALIZATION_MAP = {None: cutn.TensorSVDNormalization.NONE,
+ 'L1': cutn.TensorSVDNormalization.L1,
+ 'L2': cutn.TensorSVDNormalization.L2,
+ 'LInf': cutn.TensorSVDNormalization.LINF}
+
+SVD_METHOD_CONFIG_MAP = {'abs_cutoff': cutn.TensorSVDConfigAttribute.ABS_CUTOFF,
+ 'rel_cutoff': cutn.TensorSVDConfigAttribute.REL_CUTOFF,
+ 'partition': cutn.TensorSVDConfigAttribute.S_PARTITION,
+ 'normalization': cutn.TensorSVDConfigAttribute.S_NORMALIZATION}
+
+SVD_INFO_MAP = {'full_extent': cutn.TensorSVDInfoAttribute.FULL_EXTENT,
+ 'reduced_extent': cutn.TensorSVDInfoAttribute.REDUCED_EXTENT,
+ 'discarded_weight': cutn.TensorSVDInfoAttribute.DISCARDED_WEIGHT}
+
+
+def compute_combined_size(size_dict, modes):
+ """
+ Given the modes, compute the product of all extents using information in size_dict.
+ """
+ size = 1
+ for mode in modes:
+ size *= size_dict[mode]
+ return size
+
+
+def parse_decomposition_subscripts(subscripts):
+ """
+ Parse decomposition expression in string format, retaining ellipses if present.
+ """
+ input_modes, *output_modes = subscripts.split("->")
+ if not output_modes:
+ raise ValueError("Output modes must be explicitly specified for decomposition")
+ if len(output_modes) > 1:
+ raise ValueError("subscripts must contain only 1 ->")
+ input_modes = input_modes.split(",")
+ output_modes = output_modes[0].split(",")
+ if len(output_modes) != 2:
+ raise ValueError("subscripts must specify the modes for both left and right tensors")
+ return input_modes, output_modes
+
+
+def compute_mid_extent(size_dict, inputs, outputs):
+ """
+ Compute the expected mid extent given a size_dict and the modes for both inputs and outputs.
+ """
+ size_dict = size_dict.copy() # this func will modify it in place
+ left_output = set(outputs[0])
+ right_output = set(outputs[1])
+ shared_mode_out = set(left_output) & set(right_output)
+ if len(shared_mode_out) !=1:
+ raise ValueError(f"Expect one shared mode in the output tensors, found {len(shared_mode_out)}")
+
+ left_output -= shared_mode_out
+ right_output -= shared_mode_out
+
+ for _input in inputs:
+ left_extent = right_extent = remaining_extent = 1
+ left_modes = set()
+ right_modes = set()
+ for mode in _input:
+ extent = size_dict[mode]
+ if mode in left_output:
+ left_extent *= extent
+ left_modes.add(mode)
+ elif mode in right_output:
+ right_extent *= extent
+ right_modes.add(mode)
+ else:
+ remaining_extent *= extent
+ if right_extent * remaining_extent < left_extent:
+ # update left modes
+ left_mode_collapsed = left_modes.pop()
+ size_dict[left_mode_collapsed] = right_extent * remaining_extent
+ left_output -= left_modes
+ elif left_extent * remaining_extent < right_extent:
+ # update right modes
+ right_mode_collapsed = right_modes.pop()
+ size_dict[right_mode_collapsed] = left_extent * remaining_extent
+ right_output -= right_modes
+
+ left_extent = compute_combined_size(size_dict, left_output)
+ right_extent = compute_combined_size(size_dict, right_output)
+ return min(left_extent, right_extent)
+
+
+def parse_decomposition(subscripts, *operands):
+ """
+ Parse the generalized decomposition expression in string formats (unicode strings supported).
+ The modes for the outputs must be specified.
+
+ Returns wrapped operands, mapped inputs and output, size dictionary based on internal mode numbers,
+ the forward as well as the reverse mode maps, and the largest mid extent expected for the decomposition.
+ """
+
+ inputs, outputs = parse_decomposition_subscripts(subscripts)
+ num_operand, num_input = len(operands), len(inputs)
+ if num_operand != num_input:
+ message = f"""Operand-term mismatch. The number of operands ({num_operand}) must match the number of inputs ({num_input}) specified in the decomposition expression."""
+ raise ValueError(message)
+
+ morpher = einsum_parser.select_morpher(False)
+
+ # First wrap operands.
+ operands = tensor_wrapper.wrap_operands(operands)
+
+ inputs = list(einsum_parser.parse_single(_input) for _input in inputs)
+ outputs = list(einsum_parser.parse_single(_output) for _output in outputs)
+ ellipses_input = any(Ellipsis in _input for _input in inputs)
+ num_ellipses_output = sum(Ellipsis in _output for _output in outputs)
+ if num_ellipses_output > 1:
+ raise ValueError(f"Ellipses found in {num_ellipses_output} output terms, only allowed in one at most.")
+
+ if ellipses_input:
+ if num_input == 1 and num_ellipses_output == 0:
+ raise ValueError("tensor.decompose does not support reduction operations")
+ einsum_parser.check_ellipses(inputs+outputs, morpher)
+ else:
+ if num_ellipses_output != 0:
+ raise ValueError("Invalid ellipsis specification. The output terms contain ellipsis while none of the input terms do.")
+
+ einsum_parser.check_einsum_with_operands(inputs, operands, morpher)
+
+ # Map data to ordinals for cutensornet.
+ num_extra_labels = max(len(o.shape) for o in operands) if ellipses_input else 0
+ all_modes, _, mode_map_user_to_ord, mode_map_ord_to_user, label_end = einsum_parser.map_modes(inputs + outputs, None, num_extra_labels, morpher)
+
+ mapper = einsum_parser.ModeLabelMapper(mode_map_ord_to_user)
+ mapping_morpher = einsum_parser.select_morpher(False, mapper)
+
+ # Replace ellipses with concrete labels
+ if ellipses_input:
+ if num_input == 1:
+ # For tensor.decompose only
+ n = len(operands[0].shape) - (len(inputs[0]) -1)
+ else:
+ num_implicit_modes = set()
+ for i, o in enumerate(operands):
+ _input = all_modes[i]
+ if Ellipsis not in _input:
+ continue
+
+ n = len(o.shape) - (len(_input) - 1)
+ assert n >= 0, "Internal error"
+ num_implicit_modes.add(n)
+ if len(num_implicit_modes) != 1:
+ #NOTE: Although we can allow ellipsis denoting different number of modes,
+ # here we disable it due to limited use case if any and potential confusion due to implicit specification.
+ raise ValueError(f"Ellipsis for all operands must refer to equal number of modes, found {num_implicit_modes}")
+ n = num_implicit_modes.pop()
+
+ ellipses_modes = tuple(range(label_end-n, label_end))
+ for i, _modes in enumerate(all_modes):
+ if Ellipsis not in _modes:
+ continue
+ s = _modes.index(Ellipsis)
+ all_modes[i] = _modes[:s] + ellipses_modes + _modes[s+1:]
+
+ inputs = all_modes[:num_input]
+ outputs = all_modes[num_input:]
+
+ if num_input == 1:
+ contracted_modes_output = set(einsum_parser.infer_output_mode_labels(outputs))
+ if contracted_modes_output != set(inputs[0]):
+ raise ValueError("The contracted outcome from the right hand side of the expression does not match the input")
+
+ # Create mode-extent map based on internal mode numbers.
+ size_dict = einsum_parser.create_size_dict(inputs, operands)
+
+ # Compute the maximally allowed mid extent
+ mid_extent = compute_mid_extent(size_dict, inputs, outputs)
+
+ return operands, inputs, outputs, size_dict, mode_map_user_to_ord, mode_map_ord_to_user, mid_extent
+
+
+def get_svd_config_info_scalar_attr(handle, obj_type, obj, attr):
+ """
+ Get the data for given attribute of SVDConfig or SVDInfo.
+ """
+ if obj_type == 'config':
+ dtype_getter = cutn.tensor_svd_config_get_attribute_dtype
+ getter = cutn.tensor_svd_config_get_attribute
+ elif obj_type == 'info':
+ dtype_getter = cutn.tensor_svd_info_get_attribute_dtype
+ getter = cutn.tensor_svd_info_get_attribute
+ else:
+ raise ValueError("object type must be either config or info")
+
+ dtype = dtype_getter(attr)
+ data = numpy.empty((1,), dtype=dtype)
+ getter(handle, obj, attr, data.ctypes.data, data.dtype.itemsize)
+ return data
+
+
+def set_svd_config_scalar_attr(handle, obj, attr, data):
+ """
+ Set the data for given attribute of SVDConfig.
+ """
+ dtype_getter = cutn.tensor_svd_config_get_attribute_dtype
+ setter = cutn.tensor_svd_config_set_attribute
+ dtype = dtype_getter(attr)
+ if not isinstance(data, numpy.ndarray):
+ data = numpy.asarray(data, dtype=dtype)
+ setter(handle, obj, attr, data.ctypes.data, data.dtype.itemsize)
+
+
+def parse_svd_config(handle, svd_config, svd_method, logger=None):
+ """
+ Given an SVDMethod object, set the corresponding attributes in the SVDConfig.
+ """
+ for method_attr, attr in SVD_METHOD_CONFIG_MAP.items():
+ data = getattr(svd_method, method_attr)
+ if method_attr == 'partition':
+ data = PARTITION_MAP[data]
+ elif method_attr == 'normalization':
+ data = NORMALIZATION_MAP[data]
+ set_svd_config_scalar_attr(handle, svd_config, attr, data)
+ if logger is not None:
+ logger.info(f"The SVDConfig attribute '{method_attr}' has been set to {data}.")
+
+
+def get_svd_info_dict(handle, svd_info):
+ """
+ Parse the information in SVDInfo in a dictionary object.
+ """
+ info = dict()
+ for key, attr in SVD_INFO_MAP.items():
+ info[key] = get_svd_config_info_scalar_attr(handle, 'info', svd_info, attr).item()
+ return info
+
+
+def parse_decompose_operands_options(options, wrapped_operands, allowed_dtype_names=None):
+ """
+ Given initially wrapped tensors and network options, wrap the operands to device and create an internal NetworkOptions object.
+ If cutensornet library handle is not provided in `options`, one will be created in the internal options.
+ """
+ device_id = utils.get_network_device_id(wrapped_operands)
+ logger = logging.getLogger() if options.logger is None else options.logger
+ operands_location = 'cuda'
+ if device_id is None:
+ operands_location = 'cpu'
+ device_id = options.device_id
+ logger.info(f"Begin transferring input data from host to device {device_id}")
+ wrapped_operands = tensor_wrapper.to(wrapped_operands, device_id)
+ logger.info("Input data transfer finished")
+
+ # initialize handle once if not provided
+ if options.handle is not None:
+ own_handle = False
+ handle = options.handle
+ else:
+ own_handle = True
+ with utils.device_ctx(device_id):
+ handle = cutn.create()
+
+ blocking = options.blocking is True or operands_location == 'cpu'
+
+ dtype_name = utils.get_operands_dtype(wrapped_operands)
+ if allowed_dtype_names is not None and dtype_name not in allowed_dtype_names:
+ raise ValueError(f"dtype {dtype_name} not supported")
+ compute_type = options.compute_type if options.compute_type is not None else typemaps.NAME_TO_COMPUTE_TYPE[dtype_name]
+
+ package = utils.get_operands_package(wrapped_operands)
+ allocator = options.allocator if options.allocator is not None else memory._MEMORY_MANAGER[package](device_id, logger)
+
+ internal_options = options.__class__(device_id=device_id,
+ logger=logger,
+ handle=handle,
+ blocking=blocking,
+ compute_type=compute_type,
+ memory_limit=options.memory_limit,
+ allocator=allocator)
+
+ return wrapped_operands, internal_options, own_handle, operands_location
+
+
+def allocate_and_set_workspace(handle, allocator, workspace_desc, pref, mem_space, workspace_kind, device_id, stream, stream_ctx, logger, task_name=''):
+ """
+ Allocate and set the workspace in the workspace descriptor.
+ """
+ workspace_size = cutn.workspace_get_memory_size(handle, workspace_desc, pref, mem_space, workspace_kind)
+ # Allocate and set workspace
+ with utils.device_ctx(device_id), stream_ctx:
+ try:
+ logger.debug(f"Allocating memory for {task_name}")
+ workspace_ptr = allocator.memalloc(workspace_size)
+ except TypeError as e:
+ message = "The method 'memalloc' in the allocator object must conform to the interface in the "\
+ "'BaseCUDAMemoryManager' protocol."
+ raise TypeError(message) from e
+
+ logger.debug(f"Finished allocating memory of size {formatters.MemoryStr(workspace_size)} for decomposition in the context of stream {stream}.")
+
+ device_ptr = utils.get_ptr_from_memory_pointer(workspace_ptr)
+ cutn.workspace_set_memory(handle, workspace_desc, mem_space, workspace_kind, device_ptr, workspace_size)
+ logger.debug(f"The workspace memory (device pointer = {device_ptr}) has been set in the workspace descriptor.")
+
+ return workspace_ptr
+
+
+def _destroy_tensor_descriptors(desc_tensors):
+ for t in desc_tensors:
+ if t is not None:
+ cutn.destroy_tensor_descriptor(t)
+
+
+def create_operands_and_descriptors(handle, wrapped_operands, size_dict, inputs, outputs, mid_extent, method, device_id, stream_ctx, logger):
+ """
+ Create empty tensor operands and corresponding tensor descriptors for a decomposition problem.
+ """
+ # Create input tensor descriptors, output operands and output tensor descriptors
+ output_class = wrapped_operands[0].__class__
+ dtype_name = wrapped_operands[0].dtype
+
+ # Compute extents for the outputs
+ shared_mode_out = list(set(outputs[0]) & set(outputs[1]))[0]
+ output_extents = [tuple(size_dict[m] if m != shared_mode_out else mid_extent for m in modes) for modes in outputs]
+
+ logger.debug("Creating input tensor descriptors.")
+ input_tensor_descriptors = []
+ output_tensor_descriptors = []
+ try:
+ for (t, modes) in zip(wrapped_operands, inputs):
+ input_tensor_descriptors.append(t.create_tensor_descriptor(handle, modes))
+ logger.debug("The input tensor descriptors have been created.")
+ # Create the output in the context of the current stream to work around a performance issue with CuPy's memory pool.
+ logger.debug("Beginning output tensors and descriptors creation...")
+ s = None
+ s_ptr = 0
+ output_operands = []
+ with utils.device_ctx(device_id):
+ for extent, tensor_modes in zip(output_extents, outputs):
+ operand = utils.create_empty_tensor(output_class, extent, dtype_name, device_id, stream_ctx)
+ output_operands.append(operand)
+ output_tensor_descriptors.append(operand.create_tensor_descriptor(handle, tensor_modes))
+
+ if hasattr(method, 'partition') and method.partition is None:
+ if dtype_name in ['float32', 'complex64']:
+ s_dtype_name = 'float32'
+ elif dtype_name in ['float64', 'complex128']:
+ s_dtype_name = 'float64'
+ else:
+ raise ValueError(f"{dtype_name} data type not supported")
+ s = utils.create_empty_tensor(output_class, (mid_extent, ), s_dtype_name, device_id, stream_ctx)
+ s_ptr = s.data_ptr
+ logger.debug("The output tensors and descriptors have been created.")
+ except:
+ _destroy_tensor_descriptors(input_tensor_descriptors)
+ _destroy_tensor_descriptors(output_tensor_descriptors)
+ raise
+
+ return input_tensor_descriptors, output_operands, output_tensor_descriptors, s, s_ptr
+
+def get_return_operand_data(tensor, target_location):
+ """
+ Given wrapped tensors, fetch the return operands based on target location.
+ """
+ if tensor is None: # potentially for s
+ return tensor
+ if target_location == 'cpu':
+ return tensor.to('cpu')
+ else: # already on device
+ return tensor.tensor
diff --git a/python/cuquantum/cutensornet/_internal/einsum_parser.py b/python/cuquantum/cutensornet/_internal/einsum_parser.py
index ad00880..f3c04a5 100644
--- a/python/cuquantum/cutensornet/_internal/einsum_parser.py
+++ b/python/cuquantum/cutensornet/_internal/einsum_parser.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
@@ -16,6 +16,7 @@
from .tensor_wrapper import wrap_operands
+DISALLOWED_LABELS = set(['.', '-', '>'])
native_to_str = lambda native : "'" + ''.join(s if s is not Ellipsis else '...' for s in native) + "'"
def select_morpher(interleaved, mapper=None):
@@ -43,42 +44,42 @@ def __call__(self, sequence):
return tuple(s if s is Ellipsis else self._map[s] for s in sequence)
+def parse_single(single):
+ """
+ Parse single operand mode labels considering ellipsis. Leading or trailing whitespace, if present, is removed.
+ """
+ subexpr = single.strip(string.whitespace).split('...')
+ n = len(subexpr)
+ expr = [[Ellipsis]] * (2*n - 1)
+ expr[::2] = subexpr
+
+ return tuple(chain(*expr))
+
+
+def check_single(single):
+ """
+ Check for disallowed characters used as mode labels for a single operand.
+ """
+ for s in single:
+ if s is Ellipsis:
+ continue
+ if s in string.whitespace or s in DISALLOWED_LABELS:
+ return False
+
+ return True
+
+
def parse_einsum_str(expr):
"""
Parse einsum expression in string format, retaining ellipses if present.
Return operand as well as output mode labels if explicit form or None for implicit form.
"""
- disallowed_labels = set(['.', '-', '>'])
-
inputs, output, *rest = expr.split('->') if "->" in expr else (expr, None)
if rest:
raise ValueError("""Invalid expression.
It is not permitted to specify more than one '->' in the Einstein summation expression.""")
- def parse_single(single):
- """
- Parse single operand mode labels considering ellipsis. Leading or trailing whitespace, if present, is removed.
- """
- subexpr = single.strip(string.whitespace).split('...')
- n = len(subexpr)
- expr = [[Ellipsis]] * (2*n - 1)
- expr[::2] = subexpr
-
- return tuple(chain(*expr))
-
- def check_single(single):
- """
- Check for disallowed characters used as mode labels for a single operand.
- """
- for s in single:
- if s is Ellipsis:
- continue
- if s in string.whitespace or s in disallowed_labels:
- return False
-
- return True
-
inputs = list(parse_single(_input) for _input in inputs.split(","))
if output is not None:
output = parse_single(output)
@@ -89,7 +90,7 @@ def check_single(single):
for location, predicate in enumerate(checks) if predicate is False]
incorrect = formatters.array2string(incorrect)
message = f"""Incorrect term.
-Whitespace characters and characters from the set {disallowed_labels} cannot be used as mode labels in a summation expression.
+Whitespace characters and characters from the set {DISALLOWED_LABELS} cannot be used as mode labels in a summation expression.
The incorrectly specified terms as a sequence of "position: term" are: \n{incorrect}"""
raise ValueError(message)
@@ -236,20 +237,23 @@ def create_size_dict(inputs, operands):
return size_dict
-def infer_output_mode_labels(inputs):
+def infer_output_mode_labels(inputs, mode_map_ord_to_user=None):
"""
Infer output mode labels (those that appear exactly once).
Args:
- inputs: Einsum expression in "neutral format" (sequence of sequences) after relabelling modes.
+ inputs: Einsum expression in "neutral format" (sequence of sequences). If `mode_map_ord_to_user` is provided, the
+ mode labels correspond to ordinals, otherwise they correspond to user labels.
+ mode_map_ord_to_user: the map from ordinals to user labels.
"""
mode_label_freq = Counter(chain(*inputs))
del mode_label_freq[Ellipsis]
- return tuple(sorted(m for m, c in mode_label_freq.items() if c == 1))
+ key = None if mode_map_ord_to_user is None else lambda m: mode_map_ord_to_user[m]
+ return tuple(sorted((m for m, c in mode_label_freq.items() if c == 1), key=key))
-def process_ellipses(inputs, output, operands, label_end, mapping_morpher):
+def process_ellipses(inputs, output, operands, label_end, mode_map_ord_to_user, mapping_morpher):
"""
Replace ellipses by generated mode labels, using 'label_end' and aligning shapes from the right. Infer or update
output mode labels.
@@ -259,6 +263,7 @@ def process_ellipses(inputs, output, operands, label_end, mapping_morpher):
output: The output mode labels after relabelling as a sequence or None.
operands: Wrapped operands.
label_end: One past the largest mode label (int), including modes resulting from Ellipsis expansion.
+ mode_map_ord_to_user: the map from ordinals to user labels.
mapping_morpher: A callable that transforms a term in neutral format (sequence) to string or interleaved format,
while converting internal labels to user labels.
@@ -268,7 +273,7 @@ def process_ellipses(inputs, output, operands, label_end, mapping_morpher):
inferred = False
if output is None:
- output = infer_output_mode_labels(inputs)
+ output = infer_output_mode_labels(inputs, mode_map_ord_to_user)
inferred = True
shortest, longest = label_end, 0
@@ -366,9 +371,9 @@ def parse_einsum(*operands):
# Ellipsis expansion.
if ellipses:
- inputs, output = process_ellipses(inputs, output, operands, label_end, mapping_morpher)
+ inputs, output = process_ellipses(inputs, output, operands, label_end, mode_map_ord_to_user, mapping_morpher)
elif output is None:
- output = infer_output_mode_labels(inputs)
+ output = infer_output_mode_labels(inputs, mode_map_ord_to_user)
# Create mode-extent map based on internal mode numbers.
size_dict = create_size_dict(inputs, operands)
diff --git a/python/cuquantum/cutensornet/_internal/enum_utils.py b/python/cuquantum/cutensornet/_internal/enum_utils.py
index 25adda7..734265d 100644
--- a/python/cuquantum/cutensornet/_internal/enum_utils.py
+++ b/python/cuquantum/cutensornet/_internal/enum_utils.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
@@ -87,8 +87,19 @@ def camel_to_snake(name, upper=True):
"""
Convert string from camel case to snake style.
"""
- name = re.sub("^([A-Z])|(?' nogil:
ctypedef struct _TensorQualifiers 'cutensornetTensorQualifiers_t':
int32_t isConjugate # cannot assign default value to fields in cdef structs
+ int32_t isConstant # cannot assign default value to fields in cdef structs
ctypedef void(*LoggerCallbackData 'cutensornetLoggerCallbackData_t')(
int32_t logLevel,
@@ -127,6 +128,10 @@ cdef extern from '' nogil:
CUTENSORNET_MEMSPACE_DEVICE
CUTENSORNET_MEMSPACE_HOST
+ ctypedef enum _WorkspaceKind 'cutensornetWorkspaceKind_t':
+ CUTENSORNET_WORKSPACE_SCRATCH
+ CUTENSORNET_WORKSPACE_CACHE
+
ctypedef enum _TensorSVDConfigAttribute 'cutensornetTensorSVDConfigAttributes_t':
CUTENSORNET_TENSOR_SVD_CONFIG_ABS_CUTOFF
CUTENSORNET_TENSOR_SVD_CONFIG_REL_CUTOFF
diff --git a/python/cuquantum/cutensornet/cutensornet.pyx b/python/cuquantum/cutensornet/cutensornet.pyx
index 315d530..f9b93a3 100644
--- a/python/cuquantum/cutensornet/cutensornet.pyx
+++ b/python/cuquantum/cutensornet/cutensornet.pyx
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
@@ -60,12 +60,23 @@ cdef extern from * nogil:
int cutensornetWorkspaceGetSize(
const _Handle, const _WorkspaceDescriptor,
_WorksizePref, _Memspace, uint64_t*)
+ int cutensornetWorkspaceGetMemorySize(
+ const _Handle, const _WorkspaceDescriptor,
+ _WorksizePref, _Memspace, _WorkspaceKind, int64_t*)
int cutensornetWorkspaceSet(
const _Handle, _WorkspaceDescriptor, _Memspace,
void* const, uint64_t)
+ int cutensornetWorkspaceSetMemory(
+ const _Handle, _WorkspaceDescriptor, _Memspace,
+ _WorkspaceKind,
+ void* const, int64_t)
int cutensornetWorkspaceGet(
const _Handle, const _WorkspaceDescriptor, _Memspace,
void**, uint64_t*)
+ int cutensornetWorkspaceGetMemory(
+ const _Handle, const _WorkspaceDescriptor, _Memspace,
+ _WorkspaceKind,
+ void**, int64_t*)
int cutensornetDestroyWorkspaceDescriptor(_WorkspaceDescriptor)
# optimizer info
@@ -702,6 +713,10 @@ cpdef uint64_t workspace_get_size(
.. seealso:: `cutensornetWorkspaceGetSize`.
"""
+ warnings.warn("cuquantum.cutensornet.workspace_get_size() is "
+ "deprecated and will be removed in a future release; please "
+ "switch to cuquantum.cutensornet.workspace_get_memory_size() "
+ "instead", DeprecationWarning, 2)
cdef uint64_t workspaceSize
with nogil:
status = cutensornetWorkspaceGetSize(
@@ -711,6 +726,34 @@ cpdef uint64_t workspace_get_size(
check_status(status)
return workspaceSize
+cpdef int64_t workspace_get_memory_size(
+ intptr_t handle, intptr_t workspace, int pref, int mem_space, int kind) except*:
+ """Get the workspace size for the corresponding preference and memory
+ space. Must be called after :func:`workspace_compute_sizes`.
+
+ Args:
+ handle (intptr_t): The library handle.
+ workspace (intptr_t): The workspace descriptor.
+ pref (WorksizePref): The preference for the workspace size.
+ mem_space (Memspace): The memory space for the workspace being
+ queried.
+ kind (WorkspaceKind): The kind of the workspace being queried
+
+ Returns:
+ int64_t: The computed workspace size.
+
+ .. seealso:: `cutensornetWorkspaceGetMemorySize`.
+ """
+ cdef int64_t workspaceSize
+ with nogil:
+ status = cutensornetWorkspaceGetMemorySize(
+ <_Handle>handle, <_WorkspaceDescriptor>workspace,
+ <_WorksizePref>pref, <_Memspace>mem_space,
+ <_WorkspaceKind>kind,
+ &workspaceSize)
+ check_status(status)
+ return workspaceSize
+
cpdef workspace_set(
intptr_t handle, intptr_t workspace, int mem_space,
@@ -728,6 +771,10 @@ cpdef workspace_set(
.. seealso:: `cutensornetWorkspaceSet`
"""
+ warnings.warn("cuquantum.cutensornet.workspace_set() is "
+ "deprecated and will be removed in a future release; please "
+ "switch to cuquantum.cutensornet.workspace_set_memory() "
+ "instead", DeprecationWarning, 2)
with nogil:
status = cutensornetWorkspaceSet(
<_Handle>handle, <_WorkspaceDescriptor>workspace,
@@ -736,6 +783,32 @@ cpdef workspace_set(
check_status(status)
+cpdef workspace_set_memory(
+ intptr_t handle, intptr_t workspace, int mem_space, int kind,
+ intptr_t workspace_ptr, int64_t workspace_size):
+ """Set the workspace pointer and size for the corresponding
+ memory space and workspace kind
+ in the workspace descriptor for later use.
+
+ Args:
+ handle (intptr_t): The library handle.
+ workspace (intptr_t): The workspace descriptor.
+ mem_space (Memspace): The memory space for the workspace being
+ queried.
+ kind (WorkspaceKind): The kind of the workspace being queried
+ workspace_ptr (intptr_t): The pointer address to the workspace.
+ workspace_size (int64_t): The size of the workspace.
+
+ .. seealso:: `cutensornetWorkspaceSetMemory`
+ """
+ with nogil:
+ status = cutensornetWorkspaceSetMemory(
+ <_Handle>handle, <_WorkspaceDescriptor>workspace,
+ <_Memspace>mem_space, <_WorkspaceKind>kind,
+ workspace_ptr, workspace_size)
+ check_status(status)
+
+
cpdef tuple workspace_get(
intptr_t handle, intptr_t workspace, int mem_space):
"""Get the workspace pointer and size for the corresponding memory space
@@ -752,8 +825,12 @@ cpdef tuple workspace_get(
A 2-tuple ``(workspace_ptr, workspace_size)`` for the pointer
address to the workspace and the size of it.
- .. seealso:: `cutensornetWorkspaceSet`
+ .. seealso:: `cutensornetWorkspaceGet`
"""
+ warnings.warn("cuquantum.cutensornet.workspace_get() is "
+ "deprecated and will be removed in a future release; please "
+ "switch to cuquantum.cutensornet.workspace_get_memory() "
+ "instead", DeprecationWarning, 2)
cdef void* workspace_ptr
cdef uint64_t workspace_size
@@ -766,6 +843,38 @@ cpdef tuple workspace_get(
return (workspace_ptr, workspace_size)
+cpdef tuple workspace_get_memory(
+ intptr_t handle, intptr_t workspace, int mem_space, int kind):
+ """Get the workspace pointer and size for the corresponding
+ memory space and workspace kind
+ that are set in a workspace descriptor.
+
+ Args:
+ handle (intptr_t): The library handle.
+ workspace (intptr_t): The workspace descriptor.
+ mem_space (Memspace): The memory space for the workspace being
+ queried.
+ kind (WorkspaceKind): The kind of the workspace being queried
+
+ Returns:
+ tuple:
+ A 2-tuple ``(workspace_ptr, workspace_size)`` for the pointer
+ address to the workspace and the size of it.
+
+ .. seealso:: `cutensornetWorkspaceGetMemory`
+ """
+ cdef void* workspace_ptr
+ cdef int64_t workspace_size
+
+ with nogil:
+ status = cutensornetWorkspaceGetMemory(
+ <_Handle>handle, <_WorkspaceDescriptor>workspace,
+ <_Memspace>mem_space, <_WorkspaceKind>kind,
+ &workspace_ptr, &workspace_size)
+ check_status(status)
+ return (workspace_ptr, workspace_size)
+
+
cpdef intptr_t create_contraction_optimizer_info(
intptr_t handle, intptr_t tn_desc) except*:
"""Create a contraction optimizer info object.
@@ -933,7 +1042,7 @@ cpdef contraction_optimizer_info_get_attribute_dtype(int attr):
path_obj = np.zeros((1,), dtype=dtype)
path_obj["num_contractions"] = path.size // 2
- path_obj["node_pair"] = path.ctypes.ptr
+ path_obj["data"] = path.ctypes.data
# for setting a path
contraction_optimizer_info_set_attribute(
@@ -2443,6 +2552,11 @@ class Memspace(IntEnum):
DEVICE = CUTENSORNET_MEMSPACE_DEVICE
HOST = CUTENSORNET_MEMSPACE_HOST
+class WorkspaceKind(IntEnum):
+ """See `cutensornetWorkspaceKind_t`."""
+ SCRATCH = CUTENSORNET_WORKSPACE_SCRATCH
+ CACHE = CUTENSORNET_WORKSPACE_CACHE
+
class TensorSVDConfigAttribute(IntEnum):
"""See `cutensornetTensorSVDConfigAttributes_t`."""
ABS_CUTOFF = CUTENSORNET_TENSOR_SVD_CONFIG_ABS_CUTOFF
@@ -2486,8 +2600,8 @@ VERSION = CUTENSORNET_VERSION
# numpy dtypes
tensor_qualifiers_dtype = _numpy.dtype(
- {'names':('is_conjugate', ),
- 'formats': (_numpy.int32, ),
+ {'names':('is_conjugate', 'is_constant', ),
+ 'formats': (_numpy.int32, _numpy.int32, ),
'itemsize': sizeof(_TensorQualifiers),
}, align=True
)
diff --git a/python/cuquantum/cutensornet/experimental/__init__.py b/python/cuquantum/cutensornet/experimental/__init__.py
new file mode 100644
index 0000000..444ea21
--- /dev/null
+++ b/python/cuquantum/cutensornet/experimental/__init__.py
@@ -0,0 +1,6 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
+
+from .configuration import *
+from .tensor_network import *
\ No newline at end of file
diff --git a/python/cuquantum/cutensornet/experimental/_internal/__init__.py b/python/cuquantum/cutensornet/experimental/_internal/__init__.py
new file mode 100644
index 0000000..318463c
--- /dev/null
+++ b/python/cuquantum/cutensornet/experimental/_internal/__init__.py
@@ -0,0 +1,3 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/cuquantum/cutensornet/experimental/_internal/utils.py b/python/cuquantum/cutensornet/experimental/_internal/utils.py
new file mode 100644
index 0000000..81b57b1
--- /dev/null
+++ b/python/cuquantum/cutensornet/experimental/_internal/utils.py
@@ -0,0 +1,53 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
+
+
+from cuquantum.cutensornet._internal.einsum_parser import infer_output_mode_labels
+
+
+def is_gate_split(inputs, outputs, algo):
+ """
+ Check if the input and output modes refers to a GateSplit problem.
+
+ Args:
+ inputs: Einsum expression in "neutral format" (sequence of sequences) after mapping.
+ outputs: Einsum expression in "neutral format" (sequence of sequences) after mapping.
+ algo: The algorithm specified for the contract and decompose operations
+ """
+ if algo.svd_method is False: # contract QR decompose
+ return False
+
+ if infer_output_mode_labels(inputs) != infer_output_mode_labels(outputs):
+ return False
+
+ if len(inputs) == 3:
+ # This requires:
+ # 1. input A/B/G fully connected
+ # 2. The number of opens/uncontracted modes of G parititioned onto output A and B must be non-zero
+ a_in, b_in, g, a_out, b_out = map(set, inputs+outputs)
+ ab_in = a_in & b_in
+ ag_in = a_in & g
+ bg_in = b_in & g
+ g_open = g - ag_in - bg_in
+ ag_out = g_open & a_out
+ bg_out = g_open & b_out
+ return all([ab_in, ag_in, bg_in, ag_out, bg_out])
+
+ return False
+
+
+def maybe_truncate_qr_output_operands(operands, modes, mid_extent):
+ """
+ Given the output operands and modes for QR decomposition, possibly truncate the mid extent of the operands to match the specified mid extent.
+ """
+ shared_mode = (set(modes[0]) & set(modes[1])).pop()
+ truncated_operands = []
+ for o, labels in zip(operands, modes):
+ idx = labels.index(shared_mode)
+ if o.shape[idx] == mid_extent:
+ return operands
+ slices = [slice(None)] * o.ndim
+ slices[idx] = slice(0, mid_extent)
+ truncated_operands.append(o[tuple(slices)])
+ return truncated_operands
diff --git a/python/cuquantum/cutensornet/experimental/configuration.py b/python/cuquantum/cutensornet/experimental/configuration.py
new file mode 100644
index 0000000..828904a
--- /dev/null
+++ b/python/cuquantum/cutensornet/experimental/configuration.py
@@ -0,0 +1,97 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""
+Configuration for tensor network contraction and decomposition.
+"""
+
+__all__ = ['ContractDecomposeAlgorithm', 'ContractDecomposeInfo']
+
+import dataclasses
+import re
+from typing import Dict, Optional, Union, Literal
+
+from .. import configuration
+from ..tensor import QRMethod, SVDMethod, SVDInfo
+from .._internal import utils
+
+
+@dataclasses.dataclass
+class ContractDecomposeAlgorithm:
+
+ """A data class for specifying the algorithm to use for the contract and decompose operations.
+ Three choices are supported, as listed below:
+
+ #. When ``svd_method`` is `False` while ``qr_method`` is not `False` (default),
+ this amounts to direct contraction of the tensor network followed by a QR decomposition.
+ #. When ``qr_method`` is `False` while ``svd_method`` is not `False`,
+ this amounts to direct contraction of the tensor network followed by a singular value decomposition.
+ #. When neither ``qr_method`` and ``svd_method`` is `False`,
+ this amounts to QR-assisted contraction with singular value decomposition.
+ QR decomposition will first be applied onto certain input tensors to reduce the network size.
+ The resulting R tensors along with the remaining tensors form a new network that will be contracted and decomposed using SVD.
+ The Q tensors from the first QR operations along with the SVD outputs are then subject to two more contractions to yield the final output.
+
+ .. note::
+ The third choice above (QR-assisted contract and SVD) is currently only supported for ternary operands that are fully connected to each other with un-contracted modes on each tensor.
+ The results from the third choice is expected to be equivalent to that from the second choice but typically at lower computational cost.
+
+
+ Attributes:
+ qr_method: The QR method used for the decomposition. See :class:`~cuquantum.cutensornet.tensor.QRMethod`.
+ svd_method: The SVD method used for the decomposition. See :class:`~cuquantum.cutensornet.tensor.SVDMethod`.
+ svd_info: The SVD information during runtime. See :class:`~cuquantum.cutensornet.tensor.SVDInfo`.
+ """
+
+ qr_method: Optional[Union[QRMethod, Literal[False, None],Dict]] = dataclasses.field(default_factory=QRMethod)
+ svd_method: Optional[Union[SVDMethod,Literal[False, None],Dict]] = False
+
+ def __post_init__(self):
+ if self.qr_method is False and self.svd_method is False:
+ raise ValueError("Must specify at least one of the qr_method or svd_method")
+
+ if self.qr_method is not False:
+ self.qr_method = utils.check_or_create_options(QRMethod, self.qr_method, "QR Method")
+
+ if self.svd_method is not False:
+ self.svd_method = utils.check_or_create_options(SVDMethod, self.svd_method, "SVD Method")
+
+
+@dataclasses.dataclass
+class ContractDecomposeInfo:
+
+ """A data class for capturing contract-decompose information.
+
+ Attributes:
+ qr_method: The QR method used for the decomposition. See :class:`~cuquantum.cutensornet.tensor.QRMethod`.
+ svd_method: The SVD method used for the decomposition. See :class:`~cuquantum.cutensornet.tensor.SVDMethod`.
+ svd_info: The SVD information during runtime. See :class:`~cuquantum.cutensornet.tensor.SVDInfo`.
+ optimizer_info: The information for the contraction path to form the intermediate tensor. See :class:`~OptimizerInfo`
+ """
+
+ qr_method: Union[QRMethod, Literal[False, None],Dict]
+ svd_method: Union[SVDMethod,Literal[False, None],Dict]
+ svd_info: Optional[SVDInfo] = None
+ optimizer_info: Optional[configuration.OptimizerInfo] = None
+
+ def __str__(self):
+ core_method = 'QR' if self.svd_method is False else 'SVD'
+ indent = 4
+ repr = f"""Contract-Decompose Information:
+ Summary of Operations:
+ Contraction followed by {core_method} decomposition."""
+ if self.svd_method is not False and self.qr_method is not False: # QR-assisted
+ repr += f"""
+ Before contraction, QR is applied to reduce the size of the tensor network. Post-decomposition contractions are performed to construct the final outputs."""
+ # optimizer info, hack below to match string indentation
+ if self.optimizer_info is not None:
+ optimizer_info = re.sub(r"\n", fr"\n{' ' * indent}", str(self.optimizer_info))
+ repr += f"""
+ {optimizer_info}"""
+ # svd_info, hack below to match string indentation
+ if self.svd_info is not None:
+ svd_info = re.sub(r"\n", fr"\n{' ' * indent}", str(self.svd_info))
+ repr += f"""
+ {svd_info}"""
+ return repr
diff --git a/python/cuquantum/cutensornet/experimental/tensor_network.py b/python/cuquantum/cutensornet/experimental/tensor_network.py
new file mode 100644
index 0000000..14a1ef0
--- /dev/null
+++ b/python/cuquantum/cutensornet/experimental/tensor_network.py
@@ -0,0 +1,374 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""
+Tensor network contraction and decomposition.
+"""
+
+__all__ = ['contract_decompose']
+
+import dataclasses
+import logging
+
+from .configuration import ContractDecomposeAlgorithm, ContractDecomposeInfo
+from ._internal.utils import is_gate_split, maybe_truncate_qr_output_operands
+from .. import cutensornet as cutn
+from ..configuration import NetworkOptions
+from ..tensor import decompose, SVDInfo
+from ..tensor_network import contract
+from .._internal import decomposition_utils
+from .._internal import einsum_parser
+from .._internal import tensor_wrapper
+from .._internal import utils
+
+
+
+def _gate_split(wrapped_operands, inputs, outputs, size_dict, max_mid_extent, algorithm, options, stream, return_info):
+ """
+ perform gate split operation by calling ``cutensornetGateSplit``
+
+ Args:
+ wrapped_operands : Thin wrapped tensors given the original input operands (not copied to device yet for Numpy ndarrays).
+ inputs : A sequence of modes for input tensors in "neutral format" (sequence of sequences).
+ outputs : A sequence of modes for output tensors in "neutral format" (sequence of sequences).
+ size_dict : A dictionary mapping the modes to the extent.
+ algorithm : A ``ContractDecomposeAlgorithm`` object specifying the algorithm for the gate split operation.
+ options : Specify options for the operation as a :class:`~cuquantum.NetworkOptions` object.
+ max_mid_extent : The maximal mid extent (reduced) expected for the output of the operation.
+ stream : Provide the CUDA stream to use for the autotuning operation. Acceptable inputs include ``cudaStream_t``
+ (as Python :class:`int`), :class:`cupy.cuda.Stream`, and :class:`torch.cuda.Stream`. If a stream is not provided,
+ the current stream will be used.
+ return_info : If true, information about the contraction and decomposition will also be returned as a ::class:`ContractDecomposeInfo` object.
+ """
+ # placeholder to help avoid resource leak
+ handle = workspace_desc = svd_config = svd_info = None
+ input_tensor_descriptors = output_tensor_descriptors = []
+ try:
+ # Options converted to an internal option
+ wrapped_operands, options, own_handle, operands_location = decomposition_utils.parse_decompose_operands_options(
+ options, wrapped_operands, allowed_dtype_names=decomposition_utils.DECOMPOSITION_DTYPE_NAMES)
+
+ mid_extent = max_mid_extent if algorithm.svd_method.max_extent is None else min(max_mid_extent, algorithm.svd_method.max_extent)
+
+ handle = options.handle
+
+ package = utils.infer_object_package(wrapped_operands[0].tensor)
+ stream, stream_ctx, stream_ptr = utils.get_or_create_stream(options.device_id, stream, package)
+
+ options.logger.info("Calling specicialized kernel `cutensornetGateSplit` for contraction and decomposition.")
+
+ # Create input/output tensor descriptors and empty output operands
+ input_tensor_descriptors, output_operands, output_tensor_descriptors, s, s_ptr = decomposition_utils.create_operands_and_descriptors(
+ handle, wrapped_operands, size_dict, inputs, outputs,
+ mid_extent, algorithm.svd_method, options.device_id, stream_ctx, options.logger)
+
+ # Parse SVDConfig
+ svd_config = cutn.create_tensor_svd_config(handle)
+ decomposition_utils.parse_svd_config(handle, svd_config, algorithm.svd_method, options.logger)
+
+ # Infer GateSplitAlgorithm
+ gate_algorithm = cutn.GateSplitAlgo.DIRECT if algorithm.qr_method is False else cutn.GateSplitAlgo.REDUCED
+
+ # Create workspace descriptor
+ workspace_desc = cutn.create_workspace_descriptor(handle)
+ workspace_ptr = None
+
+ options.logger.debug("Querying workspace size...")
+
+ cutn.workspace_compute_gate_split_sizes(handle,
+ *input_tensor_descriptors, *output_tensor_descriptors,
+ gate_algorithm, svd_config, options.compute_type, workspace_desc)
+
+ # Allocate and set workspace
+ workspace_ptr = decomposition_utils.allocate_and_set_workspace(handle, options.allocator, workspace_desc,
+ cutn.WorksizePref.MIN, cutn.Memspace.DEVICE, cutn.WorkspaceKind.SCRATCH, options.device_id,
+ stream, stream_ctx, options.logger, task_name='contract decomposition')
+
+ options.logger.info("Starting contract-decompose (gate split)...")
+ timing = bool(options.logger and options.logger.handlers)
+ if options.blocking:
+ options.logger.info("This call is blocking and will return only after the operation is complete.")
+ else:
+ options.logger.info("This call is non-blocking and will return immediately after the operation is launched on the device.")
+
+ svd_info = cutn.create_tensor_svd_info(handle)
+ with utils.device_ctx(options.device_id), utils.cuda_call_ctx(stream, options.blocking, timing) as (last_compute_event, elapsed):
+ cutn.gate_split(handle,
+ input_tensor_descriptors[0], wrapped_operands[0].data_ptr,
+ input_tensor_descriptors[1], wrapped_operands[1].data_ptr,
+ input_tensor_descriptors[2], wrapped_operands[2].data_ptr,
+ output_tensor_descriptors[0], output_operands[0].data_ptr,
+ s_ptr,
+ output_tensor_descriptors[1], output_operands[1].data_ptr,
+ gate_algorithm,
+ svd_config,
+ options.compute_type,
+ svd_info,
+ workspace_desc,
+ stream_ptr)
+
+ if elapsed.data is not None:
+ options.logger.info(f"The contract-decompose (gate split) operation took {elapsed.data:.3f} ms to complete.")
+
+ svd_info_obj = SVDInfo(**decomposition_utils.get_svd_info_dict(handle, svd_info))
+
+ # Update the operand to reduced_extent if needed
+ for (wrapped_tensor, tensor_desc) in zip(output_operands, output_tensor_descriptors):
+ wrapped_tensor.reshape_to_match_tensor_descriptor(handle, tensor_desc)
+
+ reduced_extent = svd_info_obj.reduced_extent
+ if s is not None:
+ if reduced_extent != mid_extent:
+ s.tensor = s.tensor[:reduced_extent]
+ finally:
+ # Free resources
+ decomposition_utils._destroy_tensor_descriptors(input_tensor_descriptors)
+ decomposition_utils._destroy_tensor_descriptors(output_tensor_descriptors)
+ if svd_config is not None:
+ cutn.destroy_tensor_svd_config(svd_config)
+ if svd_info is not None:
+ cutn.destroy_tensor_svd_info(svd_info)
+ if workspace_desc is not None:
+ cutn.destroy_workspace_descriptor(workspace_desc)
+
+ if own_handle and handle is not None:
+ cutn.destroy(handle)
+
+ u, v, s = [decomposition_utils.get_return_operand_data(t, operands_location) for t in output_operands + [s, ]]
+
+ if return_info:
+ info = ContractDecomposeInfo(qr_method=algorithm.qr_method,
+ svd_method=algorithm.svd_method,
+ svd_info=svd_info_obj)
+ return u, s, v, info
+ else:
+ return u, s, v
+
+
+def contract_decompose(subscripts, *operands, algorithm=None, options=None, optimize=None, stream=None, return_info=False):
+ r"""
+ Evaluate the compound expression for contraction and decomposition on the input operands.
+
+ The expression follows a combination of Einstein summation notation for contraction and the decomposition notation for decomposition
+ (as in :func:`~cuquantum.cutensornet.tensor.decompose`).
+ The input represents a tensor network that will be contracted to form an intermediate tensor for subsequent decomposition operation,
+ yielding two or three outputs depending on the final decomposition method.
+ The expression requires explicit specification of modes for the input and output tensors (excluding ``S`` for SVD method).
+ The modes for the intermediate tensor are inferred based on the subscripts representing the output modes by using the implicit form of
+ the Einstein summation expression (similar to the treatment in ``numpy.einsum`` implicit mode).
+
+ See the notes and examples for clarification.
+
+ Args:
+ subscripts : The mode labels (subscripts) defining the contraction and decomposition operation as a comma-separated sequence of
+ characters. Unicode characters are allowed in the expression thereby expanding the size of the tensor network that
+ can be specified.
+ algorithm : Specify the algorithm to perform the contraction and decomposition. Alternatively,
+ a `dict` containing the parameters for the :class:`ContractDecomposeAlgorithm` constructor can be provided.
+ If not specified, the value will be set to the default-constructed ``ContractDecomposeAlgorithm`` object.
+ operands : A sequence of tensors (ndarray-like objects). The currently supported types are :class:`numpy.ndarray`,
+ :class:`cupy.ndarray`, and :class:`torch.Tensor`.
+ options : Specify options for the tensor network as a :class:`~cuquantum.NetworkOptions` object. Alternatively, a `dict`
+ containing the parameters for the ``NetworkOptions`` constructor can also be provided. If not specified,
+ the value will be set to the default-constructed ``NetworkOptions`` object.
+ optimize : This parameter specifies options for path optimization as an :class:`~cuquantum.OptimizerOptions` object. Alternatively, a
+ dictionary containing the parameters for the ``OptimizerOptions`` constructor can also be provided. If not
+ specified, the value will be set to the default-constructed ``OptimizerOptions`` object.
+ stream: Provide the CUDA stream to use for the autotuning operation. Acceptable inputs include ``cudaStream_t``
+ (as Python :class:`int`), :class:`cupy.cuda.Stream`, and :class:`torch.cuda.Stream`. If a stream is not provided,
+ the current stream will be used.
+ return_info : If true, information about the contraction and decomposition will also be returned as a ::class:`ContractDecomposeInfo` object.
+
+ Returns:
+ Depending on the decomposition setting specified in ``algorithm``, the results returned may vary:
+
+ - For QR decomposition (default), if ``return_info`` is `False`, the output tensors Q and R (ndarray-like objects) of the same type
+ and on the same device as the input operand are returned as the result of the decomposition. If ``return_info`` is `True`,
+ a 3-tuple of output tensors Q, R and a `ContractDecomposeInfo` object that contains information about the operations will be returned.
+ - For SVD decomposition, if ``return_info`` is `False`, a 3-tuple of output tensors U, S and V (ndarray-like objects)
+ of the same type as the input operand are returned as the result of the decomposition. If ``return_info`` is `True`,
+ a 4-tuple of output tensors U, S, V and a `ContractDecomposeInfo` object that contains information about the operations will be returned.
+ Note, depending on the choice of :attr:`~ContractDecomposeAlgorithm.svd_method.partition`, the returned S operand may be `None`.
+ Also see :attr:`~SVDMethod.partition`.
+
+ The contract and decompose expression adopts a combination of Einstein summation notation for contraction and the decomposition notation
+ introduced in :func:`~cuquantum.cutensornet.tensor.decompose`.
+ The ``subscripts`` string is a list of subscript labels where each label refers to a mode of the corresponding operand.
+ The subscript labels are separated by either comma or identifier ``->``.
+ The subscript labels before the identifier ``->`` are viewed as inputs, and the ones after are viewed as outputs, respectively.
+ The requirements on the subscripts for SVD and QR decomposition are summarized below:
+
+ - For SVD and QR decomposition, the subscripts string is expected to contain more than one input and exactly two output labels (The modes for `S` is not needed in the case of SVD).
+ - One and only one identical mode is expected to exist in the two output mode labels.
+ - The modes for the intermediate tensor which will be decomposed are inferred based on the subscripts representing the output modes by using the implicit form of
+ the Einstein summation expression (similar to the treatment in ``numpy.einsum`` implicit mode).
+ Therefore, assembling the input modes and the intermediate modes together should result in a valid ``numpy.einsum`` expression (classical or generalized).
+
+ Examples:
+
+ >>> # equivalent:
+ >>> # q, r = numpy.linalg.qr(numpy.einsum('ij,jk->ik', a, b))
+ >>> q, r = contract_decompose('ij,jk->ix,xk', a, b)
+
+ >>> # equivalent:
+ >>> # u, s, v = numpy.linalg.svd(numpy.einsum('ij,jk->ik', a, b), full_matrices=False)
+ >>> u, s, v = tensor_decompose('ij,jk->ix,xk', a, algorithm={'qr_method':False, 'svd_method': {}})
+
+ For generalization to generic tensor network with multi-dimensional tensors (``a``, ``b``, ``c`` are all rank-4 tensors).
+ In this case, the intermediate modes ``ijabe`` is inferred from the output modes ``ixeb`` and ``jax``:
+
+ >>> # equivalent:
+ >>> # t = contract('ijc,cad,dbe->ijabe', a, b, c)
+ >>> # u, s, v = tensor.decompose('ijabe->ixeb,jax', t, method=SVDMethod())
+ >>> u, s, v = contract_decompose('ijc,cad,dbe->ixeb,jax', a, b, c, algorithm={'qr_method': False, 'svd_method': True})
+
+ If the contract and decompose problem amounts to a **ternary-operand gate split problem** commonly seen in quantum circuit simulation
+ (see :ref:`Gate Split Algorithm` for details),
+ the user may be able to take advantage of optimized kernels from `cutensornetGateSplit` by placing the gate operand as the last one in the input operands.
+ In this case, QR decomposition can potentially be used to speed up the execution of contraction and SVD.
+ This can be achieved by setting both :attr:`~ContractDecomposeAlgorithm.qr_method` and both :attr:`~ContractDecomposeAlgorithm.svd_method`,
+ as demonstrated below.
+
+ Example:
+
+ Applying a two-qubit gate to adjacent MPS tensors:
+
+ >>> a, _, b = contract_decompose('ipj,jqk,pqPQ->iPx,xQk', a, b, gate, algorithm={'qr_method':{}, 'svd_method':{}})
+
+ **Broadcasting** is supported for certain cases via ellipsis notation.
+ One may add ellipses in the input modes to represent all the modes that are not explicitly specified in the labels.
+ In such case, an ellipsis is allowed to appear in at most one of the output modes. If an ellipsis appears in one of the output modes,
+ the implicit modes are partitioned onto the corresponding output. If no ellipsis is found in the output, the implicit modes will be summed over
+ to construct the intermediate tensors.
+
+ Examples:
+
+ Below are some examples based on two rank-4 tensors ``a`` and ``b``:
+
+ >>> # equivalent:
+ >>> # out = contract_decompose('ijab,abcd->ijx,xcd', a, b)
+ >>> out = contract_decompose('ijab,ab...->ijx,x...', a, b) # intermediate modes being "ijcd"
+
+ >>> # equivalent:
+ >>> # out = contract_decompose('ijab,abcd->ix,xj', a, b)
+ >>> out = contract_decompose('ijab,ab...->ix,xj', a, b) # intermediate modes being "ij"
+
+ >>> # equivalent:
+ >>> # out = contract_decompose('ijab,jkab->ix,xj', a, b)
+ >>> out = contract_decompose('ij...,jk...->ix,xj', a, b) # intermediate modes being "ij"
+
+ >>> # equivalent:
+ >>> # out = contract_decompose('ijab,jkab->ixab,xj', a, b)
+ >>> out = contract_decompose('ij...,jk...->ix...,xj', a, b) # intermediate modes being "ijab"
+
+ Note that the number of modes that are implicitly represented by the ellipses must be the same for all occurrences.
+
+ .. note::
+ It is encouraged for users to maintain the library handle themselves so as to reduce the context initialization time:
+
+ .. code-block:: python
+
+ from cuquantum import cutensornet as cutn
+ from cuquantum.cutensornet.experimental import contract_decompose
+
+ handle = cutn.create()
+ q, r = contract_decompose(..., options={"handle": handle}, ...)
+ # ... the same handle can be reused for further calls ...
+ # when it's done, remember to destroy the handle
+ cutn.destroy(handle)
+ """
+
+ algorithm = utils.check_or_create_options(ContractDecomposeAlgorithm, algorithm, "Contract Decompose Algorithm")
+ options = utils.check_or_create_options(NetworkOptions, options, "Network Options")
+
+ logger = logging.getLogger() if options.logger is None else options.logger
+ logger.info(f"CUDA runtime version = {cutn.get_cudart_version()}")
+ logger.info(f"cuTensorNet version = {cutn.MAJOR_VER}.{cutn.MINOR_VER}.{cutn.PATCH_VER}")
+ logger.info("Beginning operands parsing...")
+
+ # Parse subscipts and operands
+ wrapped_operands, inputs, outputs, size_dict, mode_map_user_to_ord, mode_map_ord_to_user, max_mid_extent = decomposition_utils.parse_decomposition(subscripts, *operands)
+
+ if is_gate_split(inputs, outputs, algorithm):
+ # dedicated kernel for GateSplit problem
+ return _gate_split(wrapped_operands, inputs, outputs, size_dict, max_mid_extent, algorithm, options, stream, return_info)
+
+ try:
+ # contraction followed by decomposition
+ wrapped_operands, options, own_handle, operands_location = decomposition_utils.parse_decompose_operands_options(
+ options, wrapped_operands, allowed_dtype_names=decomposition_utils.DECOMPOSITION_DTYPE_NAMES)
+
+ intermediate_modes = einsum_parser.infer_output_mode_labels(outputs)
+
+ intermediate_labels = []
+ ellipses_processed = False
+ for _modes in intermediate_modes:
+ m = mode_map_ord_to_user[_modes]
+ if m.startswith('__'): # extra internal modes represented by ellipses
+ if not ellipses_processed:
+ m = '...'
+ ellipses_processed = True
+ else:
+ continue
+ intermediate_labels.append(m)
+ intermediate_labels = ''.join(intermediate_labels)
+
+ input_modes, output_modes = subscripts.split('->')
+ einsum_subscripts = f"{input_modes}->{intermediate_labels}"
+ decompose_subscripts = f"{intermediate_labels}->{output_modes}"
+
+ if operands_location == 'cpu':
+ # avoid double transfer
+ operands = [o.tensor for o in wrapped_operands]
+
+ info_dict = {'svd_method': algorithm.svd_method,
+ 'qr_method': algorithm.qr_method}
+ logger.info("Beginning contraction of the input tensor network...")
+ intm_output = contract(einsum_subscripts, *operands, options=options, optimize=optimize, stream=stream, return_info=return_info)
+ logger.info("Contraction of the input tensor network is completed.")
+ if return_info:
+ intm_output, (_, info_dict['optimizer_info']) = intm_output # Discard the path as it's part of optimizer_info.
+
+ #NOTE: The direct integration here is based on splitting the contract_decompose problem into two sub-problems
+ # - 1. contraction.
+ # - 2. decomposition.
+ # If the algorithm is naively applied, one may not find the optimal reduce extent, for example:
+ # A[x,y] B[y,z] with input extent x=4, y=2, z=4 -> contract QR decompose -> A[x,k]B[k,z] .
+ # When naively applying the direct algorithm above, the mid extent k in the output will be 4 (QR on a 4x4 matrix).
+ # For contract QR decomposition, we manually slice the extents in the outputs.
+ # For contract SVD decomposition, we inject max_extent as part of the internal SVDMethod.
+
+ logger.info("Beginning decomposition of the intermediate tensor...")
+ if algorithm.qr_method and algorithm.svd_method is False:
+ # contract and QR decompose
+ results = decompose(decompose_subscripts, intm_output, method=algorithm.qr_method, options=dataclasses.asdict(options), stream=stream, return_info=False)
+ results = maybe_truncate_qr_output_operands(results, outputs, max_mid_extent)
+ if operands_location == 'cpu':
+ results = [tensor_wrapper.wrap_operand(o).to('cpu') for o in results]
+ elif algorithm.svd_method and algorithm.qr_method is False:
+ # contract and SVD decompose
+
+ use_max_mid_extent = algorithm.svd_method.max_extent is None
+ if use_max_mid_extent:
+ algorithm.svd_method.max_extent = max_mid_extent
+ results = decompose(decompose_subscripts, intm_output, method=algorithm.svd_method, options=dataclasses.asdict(options), stream=stream, return_info=return_info)
+ if use_max_mid_extent:
+ # revert back
+ algorithm.svd_method.max_extent = None
+
+ if return_info:
+ results, info_dict['svd_info'] = results[:-1], results[-1]
+ if operands_location == 'cpu':
+ results = [o if o is None else tensor_wrapper.wrap_operand(o).to('cpu') for o in results]
+ else:
+ raise NotImplementedError("contract_decompose currently doesn't support QR assisted SVD contract decomposition for more than 3 operands")
+ logger.info("Decomposition of the intermediate tensor is completed.")
+ finally:
+ if own_handle and options.handle is not None:
+ cutn.destroy(options.handle)
+
+ if not return_info:
+ return results
+ else:
+ return *results, ContractDecomposeInfo(**info_dict)
diff --git a/python/cuquantum/cutensornet/memory.py b/python/cuquantum/cutensornet/memory.py
index 0c9925d..b1cb898 100644
--- a/python/cuquantum/cutensornet/memory.py
+++ b/python/cuquantum/cutensornet/memory.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/cuquantum/cutensornet/tensor.py b/python/cuquantum/cutensornet/tensor.py
new file mode 100644
index 0000000..71de016
--- /dev/null
+++ b/python/cuquantum/cutensornet/tensor.py
@@ -0,0 +1,409 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""
+Computational primitives for tensors
+"""
+
+__all__ = ['decompose', 'DecompositionOptions', 'QRMethod', 'SVDInfo', 'SVDMethod']
+
+import dataclasses
+import logging
+import re
+from typing import Optional
+
+from . import cutensornet as cutn
+from .configuration import NetworkOptions
+from ._internal import decomposition_utils
+from ._internal import utils
+
+
+DecompositionOptions = dataclasses.make_dataclass("DecompositionOptions", fields=[(field.name, field.type, field) for field in dataclasses.fields(NetworkOptions)], bases=(NetworkOptions,))
+DecompositionOptions.__doc__ = re.sub(":class:`cuquantum.Network` object", ":func:`cuquantum.cutensornet.tensor.decompose` and :func:`cuquantum.cutensornet.experimental.contract_decompose` functions", NetworkOptions.__doc__)
+
+def decompose(
+ subscripts,
+ operand,
+ *,
+ method=None,
+ options=None,
+ stream=None,
+ return_info=False
+):
+ r"""
+
+ Perform the tensor decomposition of the operand based on the expression described by ``subscripts``.
+
+ The expression adopts a similar notation as Einstein summation (einsum) expression, but in the reversed order.
+ Meanwhile the input is now a single operand while the output contains two or three tensors.
+ Unlike einsum expression, the mode labels for all input and output operands must be specified *explicitly*.
+
+ See the notes and examples for clarification. See also :ref:`Tensor Decomposition`.
+
+ Args:
+ subscripts : The mode labels (subscripts) defining the decomposition as a comma-separated sequence of
+ characters. Unicode characters are allowed in the expression thereby expanding the rank (dimensionality) of the tensor that
+ can be specified.
+ operand : A ndarray-like tensor object. The currently supported types are :class:`numpy.ndarray`,
+ :class:`cupy.ndarray`, and :class:`torch.Tensor`.
+ method : Specify decomposition method as a :class:`cuquantum.cutensornet.tensor.QRMethod` or a :class:`cuquantum.cutensornet.tensor.SVDMethod` object.
+ Alternatively, a `dict` containing the parameters for the ``QRMethod`` or ``SVDMethod`` constructor can also be provided.
+ If not specified, the value will be set to the default-constructed ``QRMethod``.
+ Note that both SVD and QR method operate in reduced fashion, similar to ``full_matrices=False`` for ``numpy.linalg.svd`` and ``reduced=True`` for ``numpy.linalg.qr``.
+ options : Specify the computational options for the decomposition as a :class:`cuquantum.cutensornet.tensor.DecompositionOptions` object.
+ Alternatively, a `dict` containing the parameters for the ``DecompositionOptions`` constructor can also be provided.
+ If not specified, the value will be set to the default-constructed ``DecompositionOptions``.
+ stream: Provide the CUDA stream to use for the decomposition. Acceptable inputs include ``cudaStream_t``
+ (as Python :class:`int`), :class:`cupy.cuda.Stream`, and :class:`torch.cuda.Stream`. If a stream is not provided,
+ the current stream will be used.
+ return_info : If true, information about the decomposition will be returned via a :class:`cuquantum.cutensornet.tensor.SVDInfo` object.
+ Currently this option is only supported for SVD decomposition (which is specified via ``method``).
+
+ Returns:
+ Depending on the decomposition method specified in ``method``, the results returned may vary:
+
+ - For QR decomposition (default), the output tensors Q and R (ndarray-like objects) of the same type
+ and on the same device as the input operand are returned as the result of the decomposition.
+ - For SVD decomposition, if ``return_info`` is `False`, a 3-tuple of output tensors U, S and V (ndarray-like objects)
+ of the same type as the input operand are returned as the result of the decomposition. If ``return_info`` is `True`,
+ a 4-tuple of output tensors U, S, V and a `dict` object that contains information about the decomposition will be returned.
+ Note, depending on the choice of :attr:`cuquantum.cutensornet.tensor.SVDMethod.partition`, the returned S operand may be `None`.
+ Also see :attr:`~SVDMethod.partition`.
+
+ The decomposition expression adopts a similar notation as einsum expression.
+ The ``subscripts`` string is a list of subscript labels where each label refers to a mode of the corresponding operand.
+ The subscript labels are separated by either comma or identifier ``->``.
+ The subscript labels before the identifier ``->`` are viewed as input, and the ones after are viewed as outputs, respectively.
+ The requirements on the subscripts for SVD and QR decomposition are summarized below:
+
+ - For SVD and QR decomposition, the subscripts string is expected to contain exactly one input and two outputs (the modes for ``s`` is not needed in the case of SVD).
+ - One and only one identical mode is expected to exist in the two output mode labels.
+ - When inverted, the decomposition subscript yields a valid einsum subscript that can specify the contraction of the outputs to reproduce the input (modes for ``s`` excluded for SVD).
+
+ Examples:
+
+ >>> # equivalent:
+ >>> # q, r = numpy.linalg.qr(a)
+ >>> q, r = tensor.decompose('ij->ik,kj', a)
+
+ >>> # equivalent:
+ >>> # u, s, v = numpy.linalg.svd(a, full_matrices=False)
+ >>> u, s, v = tensor.decompose('ij->ik,kj', a, method=tensor.SVDMethod())
+
+ For generalization to multi-dimensional tensors (here ``a`` is a rank-4 tensor):
+
+ >>> u, s, v = tensor.decompose('ijab->ixb,jax', a, method=tensor.SVDMethod())
+ >>> # u is unitary
+ >>> identity = cuquantum.contract('ixb,iyb->xy', u, u.conj())
+ >>> # re-construct the tensor a by inverting the expression
+ >>> a_reconstructed = cuquantum.contract('ixb,x,jax->ijab', u, s, v)
+
+ **Broadcasting** is supported for certain cases via ellipsis notation.
+ One may add an ellipsis in the input to represent all the modes that are not explicitly specified in the labels.
+ The ellipsis *must* also appear in one of the outputs to indicate which output the represented modes will all be partitioned onto.
+
+ Example:
+
+ Given a rank-6 operand ``a``:
+
+ >>> # equivalent:
+ >>> # q, r = tensor.decompose('ijabcd->ixj,abcdx', a)
+ >>> q, r = tensor.decompose('ij...->ixj,...x', a)
+
+ .. note::
+
+ It is encouraged for users to maintain the library handle themselves so as to reduce the context initialization time:
+
+ .. code-block:: python
+
+ from cuquantum import cutensornet as cutn
+ from cuquantum.cutensornet.tensor import decompose, QRMethod
+
+ handle = cutn.create()
+ q, r = decompose(..., method=QRMethod(), options={"handle": handle}, ...)
+ # ... the same handle can be reused for further calls ...
+ # when it's done, remember to destroy the handle
+ cutn.destroy(handle)
+
+ Below we give more pedagogical examples.
+
+ Examples:
+
+ Use NumPy operands:
+
+ >>> from cuquantum.cutensornet.tensor import decompose, SVDMethod
+ >>> import numpy as np
+ >>> T = np.random.random((4,4,6,6))
+
+ Perform tensor QR decomposition such that T[i,j,a,b] = Q[i,k,a] R[k,j,b].
+ The results ``q`` and ``r`` are NumPy ndarrays (with the computation performed on the GPU):
+
+ >>> q, r = decompose('ijab->ika,kjb', T)
+
+ Perform exact tensor SVD decomposition such that T[i,j,a,b] = U[i,k,a] S[k] V[k,j,b]:
+
+ >>> u, s, v = decompose('ijab->ika,kjb', T, method=SVDMethod())
+
+ Perform exact tensor SVD decomposition such that T[i,j,a,b] = US[i,k,a] V[k,j,b] where US[i,k,a] represents the product of U[i,k,a] and S[k]:
+
+ >>> us, _, v = decompose('ijab->ika,kjb', T, method=SVDMethod(partition="U"))
+
+ Perform exact tensor SVD decomposition such that T[i,j,a,b] = U[i,k,a] S[k] V[k,j,b] then normalize the L2 norm of output singular values to 1:
+
+ >>> u, s_normalized, v = decompose('ijab->ika,kjb', T, method=SVDMethod(normalization="L2") )
+ >>> print(np.linalg.norm(s_normalized)) # 1.0
+
+ Perform truncated SVD decomposition to keep at most 8 singular values.
+ Meanwhile, request the runtime information from the SVD truncation with ``return_info=True``.
+
+ >>> u, s, v, info = decompose('ijab->ika,kjb', T, method=SVDMethod(max_extent=8), return_info=True)
+ >>> print(s.shape) # (8,)
+ >>> print(info)
+
+ We can also perform truncated SVD decomposition with all requirements below:
+
+ - the number of remaining singular values shall not exceed 8.
+ - remaining singular values are all larger than 0.01
+ - remaining singular values are all larger than 0.1 * largest singular values
+ - the L1 norm of the remaining singular values are normalized to 1.
+ - the remaining singular values (after truncation and normalization) are equally partitioned onto U and V
+
+ >>> method = {"max_extent": 8,
+ ... "abs_cutoff": 0.01,
+ ... "rel_cutoff": 0.1,
+ ... "normalization": "L1",
+ ... "partition": "UV"}
+ >>> svd_method = SVDMethod(**method)
+ >>> us, _, sv, info = decompose('ijab->ika,kjb', T, method=svd_method, return_info=True)
+
+ Alternatively, the options can be provided as a ``dict`` object:
+
+ >>> us, _, sv, info = tensor_decompose('ijab->ika,kjb', T, method=method, return_info=True)
+
+ Use CuPy operands. The results ``q`` and ``r`` are CuPy ndarrays on the same device as the input operand, and ``dev`` is any valid
+ device ID on your system that you wish to use to store the tensors and perform the decomposition:
+
+ >>> import cupy
+ >>> dev = 0
+ >>> with cupy.cuda.Device(dev):
+ ... T = cupy.random.random((4,4,6,6))
+ >>> q, r = decompose('ijab->ika,kjb', T)
+
+ Use PyTorch operands. The results ``q`` and ``r`` are PyTorch tensors on the same device (``dev``) as the input operand:
+
+ .. doctest::
+ :skipif: torch is None
+
+ >>> import torch
+ >>> dev = 0
+ >>> T = torch.rand(4,4,6,6, device=f'cuda:{dev}')
+ >>> q, r = decompose('ijab->ika,kjb', T)
+ """
+ options = utils.check_or_create_options(DecompositionOptions, options, "decomposition options")
+
+ logger = logging.getLogger() if options.logger is None else options.logger
+ logger.info(f"CUDA runtime version = {cutn.get_cudart_version()}")
+ logger.info(f"cuTensorNet version = {cutn.MAJOR_VER}.{cutn.MINOR_VER}.{cutn.PATCH_VER}")
+ logger.info("Beginning operands parsing...")
+
+ # Infer the correct decomposition method, QRMethod by default
+ for method_class in (QRMethod, SVDMethod):
+ try:
+ method = utils.check_or_create_options(method_class, method, method_class.__name__)
+ except TypeError:
+ continue
+ else:
+ break
+ else:
+ raise ValueError("method must be either a QRMethod/SVDMethod object or a dict that can be used to construct QRMethod/SVDMethod")
+
+ # Parse the decomposition expression
+ wrapped_operands, inputs, outputs, size_dict, mode_map_user_to_ord, mode_map_ord_to_user, max_mid_extent = decomposition_utils.parse_decomposition(subscripts, operand)
+
+ if len(wrapped_operands) != 1:
+ raise ValueError(f"only one input operand expected for tensor.decompose, found {len(wrapped_operands)}")
+
+ # placeholder to help avoid resource leak
+ handle = workspace_desc = svd_config = svd_info = None
+ input_descriptors = output_descriptors = []
+
+ try:
+ # wrap operands to be consistent with options.
+ # options is a new instance of DecompositionOptions with all entries initialized
+ wrapped_operands, options, own_handle, operands_location = decomposition_utils.parse_decompose_operands_options(options,
+ wrapped_operands, allowed_dtype_names=decomposition_utils.DECOMPOSITION_DTYPE_NAMES)
+ handle = options.handle
+
+ if isinstance(method, QRMethod):
+ mid_extent = max_mid_extent
+ if return_info:
+ raise ValueError("``return_info`` is only supported for SVDMethod")
+ elif isinstance(method, SVDMethod):
+ mid_extent = max_mid_extent if method.max_extent is None else min(max_mid_extent, method.max_extent)
+ else:
+ raise ValueError("method must be either SVDMethod or QRMethod")
+
+ # # Create input/output tensor descriptors and empty output operands
+ package = utils.infer_object_package(wrapped_operands[0].tensor)
+ stream, stream_ctx, stream_ptr = utils.get_or_create_stream(options.device_id, stream, package)
+ input_descriptors, output_operands, output_descriptors, s, s_ptr = decomposition_utils.create_operands_and_descriptors(options.handle,
+ wrapped_operands, size_dict, inputs, outputs, mid_extent, method, options.device_id, stream_ctx, options.logger)
+
+ # Create workspace descriptor
+ workspace_desc = cutn.create_workspace_descriptor(handle)
+ workspace_ptr = None
+
+ # Compute required workspace size
+ if isinstance(method, QRMethod):
+ logger.debug("Querying QR workspace size...")
+ cutn.workspace_compute_qr_sizes(handle, *input_descriptors, *output_descriptors, workspace_desc)
+ elif isinstance(method, SVDMethod):
+ svd_config = cutn.create_tensor_svd_config(handle)
+ decomposition_utils.parse_svd_config(handle, svd_config, method, logger)
+ logger.debug("Querying SVD workspace size...")
+ cutn.workspace_compute_svd_sizes(handle,
+ *input_descriptors, *output_descriptors, svd_config, workspace_desc)
+ else:
+ ValueError("method must be either a QRMethod/SVDMethod object or a dict that can be used to construct QRMethod/SVDMethod")
+
+ # Allocate and set workspace
+ workspace_ptr = decomposition_utils.allocate_and_set_workspace(handle, options.allocator, workspace_desc,
+ cutn.WorksizePref.MIN, cutn.Memspace.DEVICE, cutn.WorkspaceKind.SCRATCH, options.device_id,
+ stream, stream_ctx, options.logger, task_name='tensor decomposition')
+
+ svd_info_obj = None
+
+ # Perform QR/SVD computation
+ logger.info("Starting tensor decomposition...")
+ if options.blocking:
+ logger.info("This call is blocking and will return only after the operation is complete.")
+ else:
+ logger.info("This call is non-blocking and will return immediately after the operation is launched on the device.")
+ timing = bool(logger and logger.handlers)
+ if isinstance(method, QRMethod):
+ with utils.device_ctx(options.device_id), utils.cuda_call_ctx(stream, options.blocking, timing) as (last_compute_event, elapsed):
+ cutn.tensor_qr(handle,
+ *input_descriptors, wrapped_operands[0].data_ptr,
+ output_descriptors[0], output_operands[0].data_ptr,
+ output_descriptors[1], output_operands[1].data_ptr,
+ workspace_desc, stream_ptr)
+
+ if elapsed.data is not None:
+ logger.info(f"The QR decomposition took {elapsed.data:.3f} ms to complete.")
+ elif isinstance(method, SVDMethod):
+ svd_info = cutn.create_tensor_svd_info(handle)
+ with utils.device_ctx(options.device_id), utils.cuda_call_ctx(stream, options.blocking, timing) as (last_compute_event, elapsed):
+ cutn.tensor_svd(handle,
+ *input_descriptors, wrapped_operands[0].data_ptr,
+ output_descriptors[0], output_operands[0].data_ptr,
+ s_ptr,
+ output_descriptors[1], output_operands[1].data_ptr,
+ svd_config, svd_info,
+ workspace_desc, stream_ptr)
+ if elapsed.data is not None:
+ logger.info(f"The SVD decomposition took {elapsed.data:.3f} ms to complete.")
+ svd_info_obj = SVDInfo(**decomposition_utils.get_svd_info_dict(handle, svd_info))
+
+ # update the operand to reduced_extent if needed
+ for (wrapped_tensor, tensor_desc) in zip(output_operands, output_descriptors):
+ wrapped_tensor.reshape_to_match_tensor_descriptor(handle, tensor_desc)
+ reduced_extent = svd_info_obj.reduced_extent
+ if s is not None and reduced_extent != mid_extent:
+ s.tensor = s.tensor[:reduced_extent]
+ finally:
+ # Free resources
+ if svd_config is not None:
+ cutn.destroy_tensor_svd_config(svd_config)
+ if svd_info is not None:
+ cutn.destroy_tensor_svd_info(svd_info)
+ decomposition_utils._destroy_tensor_descriptors(input_descriptors)
+ decomposition_utils._destroy_tensor_descriptors(output_descriptors)
+ if workspace_desc is not None:
+ cutn.destroy_workspace_descriptor(workspace_desc)
+
+ # destroy handle if owned
+ if own_handle and handle is not None:
+ cutn.destroy(handle)
+ logger.info(f"All resources for the decomposition are freed.")
+
+ left_output, right_output, s = [decomposition_utils.get_return_operand_data(o, operands_location) for o in output_operands + [s, ]]
+
+ if isinstance(method, QRMethod):
+ return left_output, right_output
+ elif isinstance(method, SVDMethod):
+ if return_info:
+ return left_output, s, right_output, svd_info_obj
+ else:
+ return left_output, s, right_output
+ else:
+ raise NotImplementedError
+
+
+@dataclasses.dataclass
+class QRMethod:
+ """A data class for providing QR options to the :func:`cuquantum.cutensornet.tensor.decompose` function."""
+ pass
+
+
+@dataclasses.dataclass
+class SVDInfo:
+
+ """A data class for holding information regarding SVD truncation at runtime.
+
+ Attributes:
+ full_extent: The total number of singular values after matricization (before truncation).
+ reduced_extent: The number of remaining singular values after truncation.
+ discarded_weight: The discarded weight for the truncation.
+ """
+
+ reduced_extent: int
+ full_extent: int
+ discarded_weight: float
+
+ def __str__(self):
+ s = f"""SVD Information at Runtime:
+ Total number of singular values after matricization = {self.full_extent}
+ Number of singular values after truncation = {self.reduced_extent}
+ Discarded weight for the truncation = {self.discarded_weight}"""
+ return s
+
+
+@dataclasses.dataclass
+class SVDMethod:
+ """A data class for providing SVD options to the :func:`cuquantum.cutensornet.tensor.decompose` function.
+
+ Attributes:
+ max_extent: Keep no more than the largest ``max_extent`` singular values in the output operands (the rest will be truncated).
+ abs_cutoff: Singular values below this value will be trimmed in the output operands.
+ rel_cutoff: Singular values below the product of this value and the largest singular value will be trimmed in the output operands.
+ partition: Singular values S will be explictly returned by default (``partition=None``).
+ Alternatively, singular values may be factorized onto output tensor U (``partition="U"``), output tensor V (``partition="V"``) or
+ equally onto output tensor U and output tensor V (``partition="UV"``). When any of these three partition schemes is selected,
+ the returned ``S`` operand from :func:`cuquantum.cutensornet.tensor.decompose` and
+ :func:`cuquantum.cutensornet.experimental.contract_decompose` will be `None`.
+ normalization: The specified norm of the singular values (after truncation) will be normalized to 1.
+ Currently supports ``None``, ``"L1"``, ``"L2"`` and ``"LInf"``.
+
+ .. note::
+
+ For truncated SVD, currently at least one singular value will be retained in the output even if the truncation parameters are set to trim out all singular values.
+ This behavior may be subject to change in a future release.
+
+ """
+ max_extent: Optional[int] = None
+ abs_cutoff: Optional[float] = 0.0
+ rel_cutoff: Optional[float] = 0.0
+ partition: Optional[str] = None
+ normalization: Optional[str] = None
+
+ def __str__(self):
+
+ s = f"""SVD Method:
+ Maxmial number of singular values = {self.max_extent}
+ Absolute value cutoff = {self.abs_cutoff}
+ Relative value cutoff = {self.rel_cutoff}
+ Singular values partition = {self.partition}
+ Singular values normalization = {self.normalization}"""
+
+ return s
diff --git a/python/cuquantum/cutensornet/tensor_network.py b/python/cuquantum/cutensornet/tensor_network.py
index 93c6153..f27eed1 100644
--- a/python/cuquantum/cutensornet/tensor_network.py
+++ b/python/cuquantum/cutensornet/tensor_network.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
@@ -368,7 +368,7 @@ def _allocate_workspace_memory_perhaps(self, stream, stream_ctx):
self.logger.debug(f"Finished allocating memory of size {formatters.MemoryStr(self.workspace_size)} for contraction in the context of stream {self.workspace_stream}.")
device_ptr = utils.get_ptr_from_memory_pointer(self.workspace_ptr)
- cutn.workspace_set(self.handle, self.workspace_desc, cutn.Memspace.DEVICE, device_ptr, self.workspace_size)
+ cutn.workspace_set_memory(self.handle, self.workspace_desc, cutn.Memspace.DEVICE, cutn.WorkspaceKind.SCRATCH, device_ptr, self.workspace_size)
self.logger.debug(f"The workspace memory (device pointer = {device_ptr}) has been set in the workspace descriptor.")
@utils.precondition(_check_valid_network)
@@ -383,8 +383,8 @@ def _calculate_workspace_size(self):
cutn.workspace_compute_contraction_sizes(self.handle, self.network, self.optimizer_info_ptr, self.workspace_desc)
- min_size = cutn.workspace_get_size(self.handle, self.workspace_desc, cutn.WorksizePref.MIN, cutn.Memspace.DEVICE)
- max_size = cutn.workspace_get_size(self.handle, self.workspace_desc, cutn.WorksizePref.MAX, cutn.Memspace.DEVICE)
+ min_size = cutn.workspace_get_memory_size(self.handle, self.workspace_desc, cutn.WorksizePref.MIN, cutn.Memspace.DEVICE, cutn.WorkspaceKind.SCRATCH)
+ max_size = cutn.workspace_get_memory_size(self.handle, self.workspace_desc, cutn.WorksizePref.MAX, cutn.Memspace.DEVICE, cutn.WorkspaceKind.SCRATCH)
if self.memory_limit < min_size:
message = f"""Insufficient memory.
@@ -398,7 +398,7 @@ def _calculate_workspace_size(self):
self.logger.info(f"The workspace size has been set to {formatters.MemoryStr(self.workspace_size)}.")
# Set workspace size to enable contraction planning. The device pointer will be set later during allocation.
- cutn.workspace_set(self.handle, self.workspace_desc, cutn.Memspace.DEVICE, 0, self.workspace_size)
+ cutn.workspace_set_memory(self.handle, self.workspace_desc, cutn.Memspace.DEVICE, cutn.WorkspaceKind.SCRATCH, 0, self.workspace_size)
@utils.precondition(_check_valid_network)
@utils.precondition(_check_optimized, "Planning")
@@ -508,6 +508,7 @@ def contract_path(self, optimize=None, **kwargs):
- If the path is provided, the user has to set the sliced modes too if slicing is desired.
"""
+ binary_contraction_optimization = len(self.operands) == 2 and optimize is None
optimize = utils.check_or_create_options(configuration.OptimizerOptions, optimize, "path optimizer options")
internal_options = dict()
@@ -521,8 +522,8 @@ def contract_path(self, optimize=None, **kwargs):
opt_info_ifc = optimizer_ifc.OptimizerInfoInterface(self)
- # Special case worth optimizing, as it's an extremely common use case with a trivial path
- if len(self.operands) == 2:
+ # Special case worth optimizing (when the "optimize" option is not specified), as it's an extremely common use case with a trivial path.
+ if binary_contraction_optimization:
optimize.path = [(0, 1)]
# Compute path (or set provided path).
diff --git a/python/cuquantum/utils.pxd b/python/cuquantum/utils.pxd
index 01c5d59..9cfa200 100644
--- a/python/cuquantum/utils.pxd
+++ b/python/cuquantum/utils.pxd
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
@@ -7,7 +7,8 @@ cimport cpython
cdef extern from "driver_types.h" nogil:
- ctypedef int Stream 'cudaStream_t'
+ ctypedef void* Stream 'cudaStream_t'
+ ctypedef void* Event 'cudaEvent_t'
cdef extern from "library_types.h" nogil:
ctypedef enum DataType 'cudaDataType_t':
diff --git a/python/cuquantum/utils.pyx b/python/cuquantum/utils.pyx
index ccd6e28..9e0a71b 100644
--- a/python/cuquantum/utils.pyx
+++ b/python/cuquantum/utils.pyx
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
@@ -26,7 +26,7 @@ cdef int cuqnt_alloc_wrapper(void* ctx, void** ptr, size_t size, Stream stream)
try:
pairs = (ctx)
user_alloc = pairs[0]
- ptr[0] = (user_alloc(size, stream))
+ ptr[0] = (user_alloc(size, stream))
except:
# TODO: logging?
return 1
@@ -44,7 +44,7 @@ cdef int cuqnt_free_wrapper(void* ctx, void* ptr, size_t size, Stream stream) wi
try:
pairs = (ctx)
user_free = pairs[1]
- user_free(ptr, size, stream)
+ user_free(ptr, size, stream)
except:
# TODO: logging?
return 1
diff --git a/python/pyproject.toml b/python/pyproject.toml
index 4f47793..81391ac 100644
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/custatevec/accessor_get.py b/python/samples/custatevec/accessor_get.py
index b577c9c..5d96c7c 100644
--- a/python/samples/custatevec/accessor_get.py
+++ b/python/samples/custatevec/accessor_get.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/custatevec/accessor_set.py b/python/samples/custatevec/accessor_set.py
index 75880df..892f6f9 100644
--- a/python/samples/custatevec/accessor_set.py
+++ b/python/samples/custatevec/accessor_set.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/custatevec/batch_measure.py b/python/samples/custatevec/batch_measure.py
index af806e4..28d4c22 100644
--- a/python/samples/custatevec/batch_measure.py
+++ b/python/samples/custatevec/batch_measure.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/custatevec/diagonal_matrix.py b/python/samples/custatevec/diagonal_matrix.py
index 909bf7a..500b6ec 100644
--- a/python/samples/custatevec/diagonal_matrix.py
+++ b/python/samples/custatevec/diagonal_matrix.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/custatevec/distributed_index_bit_swap_mpi.py b/python/samples/custatevec/distributed_index_bit_swap_mpi.py
new file mode 100644
index 0000000..6ab1576
--- /dev/null
+++ b/python/samples/custatevec/distributed_index_bit_swap_mpi.py
@@ -0,0 +1,263 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
+
+import time
+
+import cupy as cp
+import numpy as np
+from mpi4py import MPI
+
+import cuquantum
+from cuquantum import cudaDataType
+from cuquantum import custatevec as cusv
+
+
+N_LOCAL_INDEX_BITS = 26
+
+
+def run_distributed_index_bit_swaps(
+ rank, size, n_global_index_bits, n_local_index_bits,
+ index_bit_swaps, mask_bit_string, mask_ordering):
+ if rank == 0:
+ print(f"index bit swaps: {index_bit_swaps}")
+ print(f"mask bit string: {mask_bit_string}")
+ print(f"mask ordering: {mask_ordering}")
+
+ # data type of the state vector, acceptable values are CUDA_C_32F and CUDA_C_64F.
+ sv_data_type = cudaDataType.CUDA_C_64F
+ sv_dtype = cp.complex128 if sv_data_type == cudaDataType.CUDA_C_64F else cp.complex64
+
+ # the number of index bits corresponding to sub state vectors accessible via GPUDirect P2P,
+ # and it should be adjusted based on the number of GPUs/node, N, participating in the distributed
+ # state vector (N=2^n_p2p_device_bits) that supports P2P data transfer
+ n_p2p_device_bits = 0
+ n_sub_svs_p2p = 1 << n_p2p_device_bits
+
+ # use rank and size to map sub state vectors
+ # this sample assigns one device to one rank and allocates one sub state vector on the assigned device
+ # use the rank as the index of the sub state vector locally allocated in this process
+ org_sub_sv_index = rank
+
+ # the number of sub state vectors is identical to the number of processes
+ n_sub_svs = size
+
+ # transfer workspace size
+ transfer_workspace_size = 1 << N_LOCAL_INDEX_BITS
+
+ # bind the device to the process
+ # this is based on the assumption of the global rank placement that the
+ # processes are mapped to nodes in contiguous chunks (see the comment below)
+ num_devices = cp.cuda.runtime.getDeviceCount()
+ assert num_devices > 0
+ if n_p2p_device_bits > 0:
+ assert num_devices >= n_sub_svs_p2p
+ cp.cuda.runtime.setDevice(rank % n_sub_svs_p2p)
+ else:
+ cp.cuda.runtime.setDevice(rank % num_devices)
+
+ # allocate local sub state vector, stream and event
+ d_org_sub_sv = cp.zeros((1 << n_local_index_bits,), dtype=sv_dtype)
+ local_stream = cp.cuda.Stream()
+ # event should be created with the cudaEventInterprocess flag
+ local_event = cp.cuda.Event(disable_timing=True, interprocess=True)
+
+ # create cuStateVec handle
+ handle = cusv.create()
+
+ # create communicator
+ #
+ # cuStateVec provides built-in communicators for Open MPI and MPICH.
+ #
+ # Built-in communicators dynamically resolve required MPI functions by using dlopen().
+ # This Python sample relies on mpi4py loading libmpi.so and initializing MPI for us.
+ # The deviation of the treatment for Open MPI and MPICH stems from the fact that the
+ # scope of the loaded MPI symbols (by mpi4py) are different due to a Python limitation
+ # (NVIDIA/cuQuantum#31), so we have to work around it.
+ #
+ # An external communicator can be used for MPI libraries that are not ABI compatible
+ # with Open MPI or MPICH. It uses a shared library that wraps the MPI library of choice.
+ # The soname should be set to the full path to the shared library. If you need this
+ # capability, please refer to the "mpicomm.c" file that comes with the C/C++ sample
+ # (which is a counterpart of this sample).
+
+ name, _ = MPI.get_vendor()
+ if name == "Open MPI":
+ # use built-in OpenMPI communicator
+ communicator_type = cusv.CommunicatorType.OPENMPI
+ soname = ""
+ elif name == "MPICH":
+ # use built-in MPICH communicator
+ communicator_type = cusv.CommunicatorType.MPICH
+ # work around a Python limitation as discussed in NVIDIA/cuQuantum#31
+ soname = "libmpi.so"
+ else:
+ # use external communicator
+ communicator_type = cusv.CommunicatorType.EXTERNAL
+ # please compile mpicomm.c to generate the shared library and place its path here
+ soname = ""
+ if not soname:
+ raise ValueError("please supply the soname to the shared library providing "
+ "an external communicator for cuStateVec")
+
+ # create communicator
+ communicator = cusv.communicator_create(handle, communicator_type, soname)
+ comm = MPI.COMM_WORLD
+
+ # create sv segment swap worker
+ sv_seg_swap_worker, extra_workspace_size, min_transfer_workspace_size = cusv.sv_swap_worker_create(
+ handle, communicator,
+ d_org_sub_sv.data.ptr, org_sub_sv_index, local_event.ptr, sv_data_type,
+ local_stream.ptr)
+
+ # set extra workspace
+ d_extra_workspace = cp.cuda.alloc(extra_workspace_size)
+ cusv.sv_swap_worker_set_extra_workspace(
+ handle, sv_seg_swap_worker, d_extra_workspace.ptr, extra_workspace_size)
+
+ # set transfer workspace
+ # The size should be equal to or larger than min_transfer_workspace_size
+ # Depending on the systems, larger transfer workspace can improve the performance
+ transfer_workspace_size = max(min_transfer_workspace_size, transfer_workspace_size)
+ d_transfer_workspace = cp.cuda.alloc(transfer_workspace_size)
+ cusv.sv_swap_worker_set_transfer_workspace(
+ handle, sv_seg_swap_worker, d_transfer_workspace.ptr, transfer_workspace_size)
+
+ # set remote sub state vectors accessible via GPUDirect P2P
+ # events should be also set for synchronization
+ sub_sv_indices_p2p = []
+ d_sub_svs_p2p = []
+ remote_events = []
+ if n_p2p_device_bits > 0:
+
+ # distribute device memory handles
+ # under the hood the handle is stored as a Python bytes object
+ ipc_mem_handle = cp.cuda.runtime.ipcGetMemHandle(d_org_sub_sv.data.ptr)
+ ipc_mem_handles = comm.allgather(ipc_mem_handle)
+
+ # distribute event handles
+ ipc_event_handle = cp.cuda.runtime.ipcGetEventHandle(local_event.ptr)
+ ipc_event_handles = comm.allgather(ipc_event_handle)
+
+ # get remote device pointers and events
+ # this calculation assumes that the global rank placement is done in a round-robin fashion
+ # across nodes, so for example if n_p2p_device_bits=2 there are 2^2=4 processes/node (and
+ # 1 GPU/progress) and we expect the global MPI ranks to be assigned as
+ # 0 1 2 3 -> node 0
+ # 4 5 6 7 -> node 1
+ # 8 9 10 11 -> node 2
+ # ...
+ # if the rank placement scheme is different, you will need to calculate based on local MPI
+ # rank/size, as CUDA IPC is only for intra-node, not inter-node, communication.
+ p2p_sub_sv_index_begin = (org_sub_sv_index // n_sub_svs_p2p) * n_sub_svs_p2p
+ p2p_sub_sv_index_end = p2p_sub_sv_index_begin + n_sub_svs_p2p
+ for p2p_sub_sv_index in range(p2p_sub_sv_index_begin, p2p_sub_sv_index_end):
+ if org_sub_sv_index == p2p_sub_sv_index:
+ continue # don't need local sub state vector pointer
+ sub_sv_indices_p2p.append(p2p_sub_sv_index)
+
+ dst_mem_handle = ipc_mem_handles[p2p_sub_sv_index]
+ # default is to use cudaIpcMemLazyEnablePeerAccess
+ d_sub_sv_p2p = cp.cuda.runtime.ipcOpenMemHandle(dst_mem_handle)
+ d_sub_svs_p2p.append(d_sub_sv_p2p)
+
+ event_p2p = cp.cuda.runtime.ipcOpenEventHandle(ipc_event_handles[p2p_sub_sv_index])
+ remote_events.append(event_p2p)
+
+ # set p2p sub state vectors
+ assert len(d_sub_svs_p2p) == len(sub_sv_indices_p2p) == len(remote_events)
+ cusv.sv_swap_worker_set_sub_svs_p2p(
+ handle, sv_seg_swap_worker,
+ d_sub_svs_p2p, sub_sv_indices_p2p, remote_events, len(d_sub_svs_p2p))
+
+ # create distributed index bit swap scheduler
+ scheduler = cusv.dist_index_bit_swap_scheduler_create(
+ handle, n_global_index_bits, n_local_index_bits)
+
+ # set the index bit swaps to the scheduler
+ # n_swap_batches is obtained by the call. This value specifies the number of loops
+ assert len(mask_bit_string) == len(mask_ordering)
+ n_swap_batches = cusv.dist_index_bit_swap_scheduler_set_index_bit_swaps(
+ handle, scheduler,
+ index_bit_swaps, len(index_bit_swaps),
+ mask_bit_string, mask_ordering, len(mask_bit_string))
+
+ # the main loop of index bit swaps
+ n_loops = 2
+ for loop in range(n_loops):
+ start = time.perf_counter()
+
+ for swap_batch_index in range(n_swap_batches):
+ # get parameters
+ parameters = cusv.dist_index_bit_swap_scheduler_get_parameters(
+ handle, scheduler, swap_batch_index, org_sub_sv_index)
+
+ # the rank of the communication endpoint is parameters.dst_sub_sv_index
+ # as "rank == sub_sv_index" is assumed in the present sample.
+ rank = parameters.dst_sub_sv_index
+
+ # set parameters to the worker
+ cusv.sv_swap_worker_set_parameters(
+ handle, sv_seg_swap_worker, parameters, rank)
+
+ # execute swap
+ cusv.sv_swap_worker_execute(
+ handle, sv_seg_swap_worker, 0, parameters.transfer_size)
+
+ # all internal CUDA calls are serialized on local_stream
+
+ # synchronize all operations on device
+ local_stream.synchronize()
+
+ # barrier here for time measurement
+ comm.barrier()
+ elapsed = time.perf_counter() - start
+ if (loop == n_loops - 1) and (org_sub_sv_index == 0):
+ # output benchmark result
+ elm_size = 16 if sv_data_type == cudaDataType.CUDA_C_64F else 8
+ fraction = 1. - 0.5 ** len(index_bit_swaps)
+ transferred = 2 ** n_local_index_bits * fraction * elm_size
+ bw = transferred / elapsed * 1E-9
+ print(f"BW {bw} [GB/s]")
+
+ # free all resources
+ cusv.dist_index_bit_swap_scheduler_destroy(handle, scheduler)
+ cusv.sv_swap_worker_destroy(handle, sv_seg_swap_worker)
+ cusv.communicator_destroy(handle, communicator)
+ cusv.destroy(handle)
+
+ # free IPC pointers and events
+ for d_sub_sv in d_sub_svs_p2p:
+ cp.cuda.runtime.ipcCloseMemHandle(d_sub_sv)
+ for event in remote_events:
+ cp.cuda.runtime.eventDestroy(event)
+
+
+if __name__ == "__main__":
+ # get rank and size
+ comm = MPI.COMM_WORLD
+ rank = comm.Get_rank()
+ size = comm.Get_size()
+ # size should be a power of two number
+ assert (size & (size - 1)) == 0
+
+ # compute n_global_index_bits from the size
+ # n_global_index_bits = log2(size)
+ n_global_index_bits = 0
+ while (1 << n_global_index_bits) < size:
+ n_global_index_bits += 1
+ # the size of local sub state vectors
+ n_local_index_bits = N_LOCAL_INDEX_BITS
+
+ # create index bit swap
+ index_bit_swaps = []
+ n_index_bit_swaps = 1
+ n_index_bits = n_local_index_bits + n_global_index_bits
+ for idx in range(n_index_bit_swaps):
+ index_bit_swaps.append((n_local_index_bits-1-idx, n_index_bits-idx-1))
+ # empty mask
+ mask_bit_string = mask_ordering = []
+
+ run_distributed_index_bit_swaps(
+ rank, size, n_global_index_bits, n_local_index_bits,
+ index_bit_swaps, mask_bit_string, mask_ordering)
diff --git a/python/samples/custatevec/expectation.py b/python/samples/custatevec/expectation.py
index 6278bfc..f81482a 100644
--- a/python/samples/custatevec/expectation.py
+++ b/python/samples/custatevec/expectation.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/custatevec/expectation_pauli.py b/python/samples/custatevec/expectation_pauli.py
index 6e14aa1..ad7f2c8 100644
--- a/python/samples/custatevec/expectation_pauli.py
+++ b/python/samples/custatevec/expectation_pauli.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/custatevec/exponential_pauli.py b/python/samples/custatevec/exponential_pauli.py
index 4cd0ea9..7358180 100644
--- a/python/samples/custatevec/exponential_pauli.py
+++ b/python/samples/custatevec/exponential_pauli.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/custatevec/gate_application.py b/python/samples/custatevec/gate_application.py
index a6d2397..eab3e77 100644
--- a/python/samples/custatevec/gate_application.py
+++ b/python/samples/custatevec/gate_application.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/custatevec/measure_zbasis.py b/python/samples/custatevec/measure_zbasis.py
index a730314..29ae696 100644
--- a/python/samples/custatevec/measure_zbasis.py
+++ b/python/samples/custatevec/measure_zbasis.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/custatevec/memory_handler.py b/python/samples/custatevec/memory_handler.py
index a87ab20..6d0b497 100644
--- a/python/samples/custatevec/memory_handler.py
+++ b/python/samples/custatevec/memory_handler.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/custatevec/mgpu_batch_measure.py b/python/samples/custatevec/mgpu_batch_measure.py
index 47a1b94..204c17d 100644
--- a/python/samples/custatevec/mgpu_batch_measure.py
+++ b/python/samples/custatevec/mgpu_batch_measure.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/custatevec/mgpu_sampler.py b/python/samples/custatevec/mgpu_sampler.py
index 28fdf72..7b788f4 100644
--- a/python/samples/custatevec/mgpu_sampler.py
+++ b/python/samples/custatevec/mgpu_sampler.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/custatevec/mgpu_swap_index_bits.py b/python/samples/custatevec/mgpu_swap_index_bits.py
index c3b5d6b..32469d6 100644
--- a/python/samples/custatevec/mgpu_swap_index_bits.py
+++ b/python/samples/custatevec/mgpu_swap_index_bits.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/custatevec/permutation_matrix.py b/python/samples/custatevec/permutation_matrix.py
index 705f5d4..61c1422 100644
--- a/python/samples/custatevec/permutation_matrix.py
+++ b/python/samples/custatevec/permutation_matrix.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/custatevec/sampler.py b/python/samples/custatevec/sampler.py
index f75a72e..92c5644 100644
--- a/python/samples/custatevec/sampler.py
+++ b/python/samples/custatevec/sampler.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/custatevec/swap_index_bits.py b/python/samples/custatevec/swap_index_bits.py
index 07351c1..7f49c9c 100644
--- a/python/samples/custatevec/swap_index_bits.py
+++ b/python/samples/custatevec/swap_index_bits.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/custatevec/test_matrix_type.py b/python/samples/custatevec/test_matrix_type.py
index 5632251..7d452ef 100644
--- a/python/samples/custatevec/test_matrix_type.py
+++ b/python/samples/custatevec/test_matrix_type.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/cutensornet/approxTN/gate_split_example.py b/python/samples/cutensornet/approxTN/gate_split_example.py
index 6816685..0356403 100644
--- a/python/samples/cutensornet/approxTN/gate_split_example.py
+++ b/python/samples/cutensornet/approxTN/gate_split_example.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
@@ -121,14 +121,15 @@
desc_tensor_A_in, desc_tensor_B_in, desc_tensor_G_in,
desc_tensor_A_out, desc_tensor_B_out,
gate_algo, svd_config, compute_type, work_desc)
-required_workspace_size = cutn.workspace_get_size(handle,
- work_desc, cutn.WorksizePref.MIN, cutn.Memspace.DEVICE)
+required_workspace_size = cutn.workspace_get_memory_size(handle,
+ work_desc, cutn.WorksizePref.MIN, cutn.Memspace.DEVICE, cutn.WorkspaceKind.SCRATCH)
if worksize < required_workspace_size:
raise MemoryError("Not enough workspace memory is available.")
work = cp.cuda.alloc(required_workspace_size)
-cutn.workspace_set(
+cutn.workspace_set_memory(
handle, work_desc,
cutn.Memspace.DEVICE,
+ cutn.WorkspaceKind.SCRATCH,
work.ptr, required_workspace_size)
print("Query and allocate required workspace.")
diff --git a/python/samples/cutensornet/approxTN/mps_example.py b/python/samples/cutensornet/approxTN/mps_example.py
index 6900565..73acda4 100644
--- a/python/samples/cutensornet/approxTN/mps_example.py
+++ b/python/samples/cutensornet/approxTN/mps_example.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
@@ -137,7 +137,7 @@ def compute_max_workspace_sizes(self):
desc_tensor_out_A, desc_tensor_out_B,
self.gate_algo, self.svd_config, self.compute_type, self.work_desc)
- workspace_size = cutn.workspace_get_size(self.handle, self.work_desc, cutn.WorksizePref.MIN, cutn.Memspace.DEVICE)
+ workspace_size = cutn.workspace_get_memory_size(self.handle, self.work_desc, cutn.WorksizePref.MIN, cutn.Memspace.DEVICE, cutn.WorkspaceKind.SCRATCH)
# free resources
cutn.destroy_tensor_descriptor(desc_tensor_in_A)
@@ -154,7 +154,7 @@ def set_workspace(self, work, workspace_size):
work: Pointer to the allocated workspace.
workspace_size: The required workspace size on the device.
"""
- cutn.workspace_set(self.handle, self.work_desc, cutn.Memspace.DEVICE, work.ptr, workspace_size)
+ cutn.workspace_set_memory(self.handle, self.work_desc, cutn.Memspace.DEVICE, cutn.WorkspaceKind.SCRATCH, work.ptr, workspace_size)
def apply_gate(self, site_A, site_B, gate, verbose, stream):
"""Inplace execution of the apply gate algoritm on site A and site B.
diff --git a/python/samples/cutensornet/approxTN/tensor_qr_example.py b/python/samples/cutensornet/approxTN/tensor_qr_example.py
index 4008436..521c206 100644
--- a/python/samples/cutensornet/approxTN/tensor_qr_example.py
+++ b/python/samples/cutensornet/approxTN/tensor_qr_example.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
@@ -77,14 +77,15 @@
work_desc = cutn.create_workspace_descriptor(handle)
cutn.workspace_compute_qr_sizes(handle, desc_tensor_T, desc_tensor_Q, desc_tensor_R, work_desc)
-required_workspace_size = cutn.workspace_get_size(handle,
- work_desc, cutn.WorksizePref.MIN, cutn.Memspace.DEVICE)
+required_workspace_size = cutn.workspace_get_memory_size(handle,
+ work_desc, cutn.WorksizePref.MIN, cutn.Memspace.DEVICE, cutn.WorkspaceKind.SCRATCH)
if worksize < required_workspace_size:
raise MemoryError("Not enough workspace memory is available.")
work = cp.cuda.alloc(required_workspace_size)
-cutn.workspace_set(
+cutn.workspace_set_memory(
handle, work_desc,
cutn.Memspace.DEVICE,
+ cutn.WorkspaceKind.SCRATCH,
work.ptr, required_workspace_size)
print("Query and allocate required workspace.")
diff --git a/python/samples/cutensornet/approxTN/tensor_svd_example.py b/python/samples/cutensornet/approxTN/tensor_svd_example.py
index 6c5e065..70aeb7b 100644
--- a/python/samples/cutensornet/approxTN/tensor_svd_example.py
+++ b/python/samples/cutensornet/approxTN/tensor_svd_example.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
@@ -102,14 +102,15 @@
work_desc = cutn.create_workspace_descriptor(handle)
cutn.workspace_compute_svd_sizes(handle, desc_tensor_T, desc_tensor_U, desc_tensor_V, svd_config, work_desc)
-required_workspace_size = cutn.workspace_get_size(handle,
- work_desc, cutn.WorksizePref.MIN, cutn.Memspace.DEVICE)
+required_workspace_size = cutn.workspace_get_memory_size(handle,
+ work_desc, cutn.WorksizePref.MIN, cutn.Memspace.DEVICE, cutn.WorkspaceKind.SCRATCH)
if worksize < required_workspace_size:
raise MemoryError("Not enough workspace memory is available.")
work = cp.cuda.alloc(required_workspace_size)
-cutn.workspace_set(
+cutn.workspace_set_memory(
handle, work_desc,
cutn.Memspace.DEVICE,
+ cutn.WorkspaceKind.SCRATCH,
work.ptr, required_workspace_size)
print("Query and allocate required workspace.")
diff --git a/python/samples/cutensornet/circuit_converter/cirq_advanced.ipynb b/python/samples/cutensornet/circuit_converter/cirq_advanced.ipynb
index 79967fe..6348725 100644
--- a/python/samples/cutensornet/circuit_converter/cirq_advanced.ipynb
+++ b/python/samples/cutensornet/circuit_converter/cirq_advanced.ipynb
@@ -5,7 +5,7 @@
"id": "c77d9b59-34cc-458a-bdad-33cf25d3e483",
"metadata": {},
"source": [
- "Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES\n",
+ "Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES\n",
"\n",
"SPDX-License-Identifier: BSD-3-Clause"
]
diff --git a/python/samples/cutensornet/circuit_converter/cirq_basic.ipynb b/python/samples/cutensornet/circuit_converter/cirq_basic.ipynb
index 846d33a..08170a9 100644
--- a/python/samples/cutensornet/circuit_converter/cirq_basic.ipynb
+++ b/python/samples/cutensornet/circuit_converter/cirq_basic.ipynb
@@ -5,7 +5,7 @@
"id": "a0c197cf-6f83-4d55-b4bf-3355de744422",
"metadata": {},
"source": [
- "Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES\n",
+ "Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES\n",
"\n",
"SPDX-License-Identifier: BSD-3-Clause"
]
diff --git a/python/samples/cutensornet/circuit_converter/qiskit_advanced.ipynb b/python/samples/cutensornet/circuit_converter/qiskit_advanced.ipynb
index b94378b..18856e7 100644
--- a/python/samples/cutensornet/circuit_converter/qiskit_advanced.ipynb
+++ b/python/samples/cutensornet/circuit_converter/qiskit_advanced.ipynb
@@ -5,7 +5,7 @@
"id": "98fd8b85-eba5-40e2-9d30-a67c1bc21af5",
"metadata": {},
"source": [
- "Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES\n",
+ "Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES\n",
"\n",
"SPDX-License-Identifier: BSD-3-Clause"
]
diff --git a/python/samples/cutensornet/circuit_converter/qiskit_basic.ipynb b/python/samples/cutensornet/circuit_converter/qiskit_basic.ipynb
index 7e4b8a1..61e6377 100644
--- a/python/samples/cutensornet/circuit_converter/qiskit_basic.ipynb
+++ b/python/samples/cutensornet/circuit_converter/qiskit_basic.ipynb
@@ -5,7 +5,7 @@
"id": "64eb8a09-391c-4b85-a5bc-653ad3a13bd7",
"metadata": {},
"source": [
- "Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES\n",
+ "Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES\n",
"\n",
"SPDX-License-Identifier: BSD-3-Clause"
]
diff --git a/python/samples/cutensornet/coarse/example1.py b/python/samples/cutensornet/coarse/example1.py
index eba1467..007a065 100644
--- a/python/samples/cutensornet/coarse/example1.py
+++ b/python/samples/cutensornet/coarse/example1.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/cutensornet/coarse/example10.py b/python/samples/cutensornet/coarse/example10.py
index 4e69980..9a490e9 100644
--- a/python/samples/cutensornet/coarse/example10.py
+++ b/python/samples/cutensornet/coarse/example10.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/cutensornet/coarse/example11.py b/python/samples/cutensornet/coarse/example11.py
index f10060a..62f156f 100644
--- a/python/samples/cutensornet/coarse/example11.py
+++ b/python/samples/cutensornet/coarse/example11.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/cutensornet/coarse/example12.py b/python/samples/cutensornet/coarse/example12.py
index 13f385f..7c939aa 100644
--- a/python/samples/cutensornet/coarse/example12.py
+++ b/python/samples/cutensornet/coarse/example12.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/cutensornet/coarse/example13.py b/python/samples/cutensornet/coarse/example13.py
index 11a3ec1..6309683 100644
--- a/python/samples/cutensornet/coarse/example13.py
+++ b/python/samples/cutensornet/coarse/example13.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/cutensornet/coarse/example14.py b/python/samples/cutensornet/coarse/example14.py
index 2bea85b..51af687 100644
--- a/python/samples/cutensornet/coarse/example14.py
+++ b/python/samples/cutensornet/coarse/example14.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/cutensornet/coarse/example15.py b/python/samples/cutensornet/coarse/example15.py
index ff9ee98..625e72d 100644
--- a/python/samples/cutensornet/coarse/example15.py
+++ b/python/samples/cutensornet/coarse/example15.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/cutensornet/coarse/example16.py b/python/samples/cutensornet/coarse/example16.py
index 21119ca..bbfc7a6 100644
--- a/python/samples/cutensornet/coarse/example16.py
+++ b/python/samples/cutensornet/coarse/example16.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/cutensornet/coarse/example17.py b/python/samples/cutensornet/coarse/example17.py
index e3a312b..b5aaab9 100644
--- a/python/samples/cutensornet/coarse/example17.py
+++ b/python/samples/cutensornet/coarse/example17.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/cutensornet/coarse/example18.py b/python/samples/cutensornet/coarse/example18.py
index 93aa87a..2fbe633 100644
--- a/python/samples/cutensornet/coarse/example18.py
+++ b/python/samples/cutensornet/coarse/example18.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/cutensornet/coarse/example19.py b/python/samples/cutensornet/coarse/example19.py
index 77e5b29..7558e67 100644
--- a/python/samples/cutensornet/coarse/example19.py
+++ b/python/samples/cutensornet/coarse/example19.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/cutensornet/coarse/example2.py b/python/samples/cutensornet/coarse/example2.py
index 50adde1..5177cec 100644
--- a/python/samples/cutensornet/coarse/example2.py
+++ b/python/samples/cutensornet/coarse/example2.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
@@ -13,8 +13,10 @@
a = np.ones((3,2))
-b = np.ones((2,3))
+b = np.ones((2,4))
-r = contract("ij,jk", a, b)
+r = contract("ij,jh", a, b) # output modes = "hi" (lexicographically sorted in implicit form).
print(r)
+n = np.einsum("ij,jh", a, b)
+assert np.allclose(r, n), 'Incorrect results for "ij,jh".'
diff --git a/python/samples/cutensornet/coarse/example20.py b/python/samples/cutensornet/coarse/example20.py
index 2705ad3..2fcd02c 100644
--- a/python/samples/cutensornet/coarse/example20.py
+++ b/python/samples/cutensornet/coarse/example20.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/cutensornet/coarse/example22_mpi_auto.py b/python/samples/cutensornet/coarse/example22_mpi_auto.py
index 76b825c..6c6e906 100644
--- a/python/samples/cutensornet/coarse/example22_mpi_auto.py
+++ b/python/samples/cutensornet/coarse/example22_mpi_auto.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/cutensornet/coarse/example3.py b/python/samples/cutensornet/coarse/example3.py
index 9b6aecf..0d54317 100644
--- a/python/samples/cutensornet/coarse/example3.py
+++ b/python/samples/cutensornet/coarse/example3.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/cutensornet/coarse/example4.py b/python/samples/cutensornet/coarse/example4.py
index 0f74e50..3c35b5a 100644
--- a/python/samples/cutensornet/coarse/example4.py
+++ b/python/samples/cutensornet/coarse/example4.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/cutensornet/coarse/example5.py b/python/samples/cutensornet/coarse/example5.py
index 3743362..c493876 100644
--- a/python/samples/cutensornet/coarse/example5.py
+++ b/python/samples/cutensornet/coarse/example5.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/cutensornet/coarse/example6.py b/python/samples/cutensornet/coarse/example6.py
index 75f03a4..a3f82e9 100644
--- a/python/samples/cutensornet/coarse/example6.py
+++ b/python/samples/cutensornet/coarse/example6.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/cutensornet/coarse/example7.py b/python/samples/cutensornet/coarse/example7.py
index 009a348..db11018 100644
--- a/python/samples/cutensornet/coarse/example7.py
+++ b/python/samples/cutensornet/coarse/example7.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/cutensornet/coarse/example8.py b/python/samples/cutensornet/coarse/example8.py
index 2661239..da368ec 100644
--- a/python/samples/cutensornet/coarse/example8.py
+++ b/python/samples/cutensornet/coarse/example8.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/cutensornet/coarse/example9.py b/python/samples/cutensornet/coarse/example9.py
index 5c2cbe9..6c45c3f 100644
--- a/python/samples/cutensornet/coarse/example9.py
+++ b/python/samples/cutensornet/coarse/example9.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/cutensornet/experimental/example01-pairwise_canonicalization.py b/python/samples/cutensornet/experimental/example01-pairwise_canonicalization.py
new file mode 100644
index 0000000..7ff69c0
--- /dev/null
+++ b/python/samples/cutensornet/experimental/example01-pairwise_canonicalization.py
@@ -0,0 +1,35 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""
+Example of pairwise tensor canonicalization with contract_decompose
+
+NumPy ndarrays are used as inputs.
+"""
+import numpy as np
+
+from cuquantum import contract
+from cuquantum.cutensornet.experimental import contract_decompose
+
+
+a = np.ones((2,2,2))
+b = np.ones((2,2,2))
+
+# use QR to canonicalize two tensors:
+# i k m i k m
+# =====A=====B===== ===> =====A---->B=====
+# |j l| |j l|
+
+canonicalize_algorithm = {
+ 'qr_method': {},
+ 'svd_method': False
+}
+
+a_qr, b_qr = contract_decompose('ijk,klm->ijk,klm', a, b, algorithm=canonicalize_algorithm)
+# compare the difference after canonicalization
+diff = contract('ijk,klm', a, b) - contract('ijk,klm', a_qr, b_qr)
+
+print("After canonicalization")
+print(f" Shape of A, B: {a_qr.shape} {b_qr.shape}")
+print(f" Maxdiff error: {abs(diff).max()}")
\ No newline at end of file
diff --git a/python/samples/cutensornet/experimental/example02-pairwise_compression.py b/python/samples/cutensornet/experimental/example02-pairwise_compression.py
new file mode 100644
index 0000000..72d4f5c
--- /dev/null
+++ b/python/samples/cutensornet/experimental/example02-pairwise_compression.py
@@ -0,0 +1,36 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""
+Example of pairwise tensor compression with contract_decompose
+
+NumPy ndarrays are used as inputs.
+"""
+import numpy as np
+
+from cuquantum import contract
+from cuquantum.cutensornet.experimental import contract_decompose
+
+
+a = np.ones((2,2,2))
+b = np.ones((2,2,2))
+
+# use SVD to compress two tensors:
+# i k m i k m
+# =====A=====B===== ===> =====A-----B=====
+# |j l| |j l|
+
+abs_cutoff = 1e-12
+compress_algorithm = {
+ 'qr_method' : False,
+ 'svd_method': {'abs_cutoff':abs_cutoff, 'partition': 'UV'} # singular values are partitioned onto A/B equally
+}
+
+# compare the difference after compression
+a_svd, _, b_svd = contract_decompose('ijk,klm->ijk,klm', a, b, algorithm=compress_algorithm)
+diff = contract('ijk,klm', a, b) - contract('ijk,klm', a_svd, b_svd)
+
+print(f"After compression with cutoff {abs_cutoff}")
+print(f" Shape of A, B: {a_svd.shape} {b_svd.shape}")
+print(f" Maxdiff error: {abs(diff).max()}")
\ No newline at end of file
diff --git a/python/samples/cutensornet/experimental/example03-apply_gate.py b/python/samples/cutensornet/experimental/example03-apply_gate.py
new file mode 100644
index 0000000..50f6c4d
--- /dev/null
+++ b/python/samples/cutensornet/experimental/example03-apply_gate.py
@@ -0,0 +1,43 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""
+Example of applying gate operand to two connecting tensors with contract_decompose
+
+NumPy ndarrays are used as inputs.
+"""
+import numpy as np
+
+from cuquantum import contract
+from cuquantum.cutensornet.experimental import contract_decompose
+
+
+a = np.ones((2,2,2))
+b = np.ones((2,2,2))
+gate = np.ones((2,2,2,2))
+
+# absorb the gate tensor onto two connecting tensors
+
+# i | k | m
+# =====A=====B===== i k m
+# |j l| ===> =====A-----B=====
+# GGGGGGG p| q|
+# |p q|
+
+abs_cutoff = 1e-12
+
+# use QR to assist in contraction decomposition
+# note this is currently only supported for fully connected network with three tensors
+gate_algorithm = {
+ 'qr_method' : {},
+ 'svd_method': {'abs_cutoff':abs_cutoff, 'partition': 'UV'} # singular values are partitioned onto A/B equally
+}
+
+# compare the difference after compression
+a_svd, _, b_svd = contract_decompose('ijk,klm,jlpq->ipk,kqm', a, b, gate, algorithm=gate_algorithm)
+diff = contract('ijk,klm,ijpq', a, b, gate) - contract('ipk,kqm', a_svd, b_svd)
+
+print(f"After compression with cutoff {abs_cutoff}")
+print(f" Shape of A, B: {a_svd.shape} {b_svd.shape}")
+print(f" Maxdiff error: {abs(diff).max()}")
\ No newline at end of file
diff --git a/python/samples/cutensornet/experimental/example04-contract_QR_decompose.py b/python/samples/cutensornet/experimental/example04-contract_QR_decompose.py
new file mode 100644
index 0000000..07bc1d5
--- /dev/null
+++ b/python/samples/cutensornet/experimental/example04-contract_QR_decompose.py
@@ -0,0 +1,45 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""
+Example of contract and QR decompose an arbitrary network
+
+NumPy ndarrays are used as inputs.
+"""
+import numpy as np
+
+from cuquantum import contract, tensor
+from cuquantum.cutensornet.experimental import contract_decompose
+
+
+inputs = ('ab', 'bcd', 'cde', 'exg', 'ayg')
+outputs = ('xz', 'zy')
+
+# creating random input tensors
+np.random.seed(0)
+size_dict = {}
+operands = []
+for modes in inputs:
+ shape = []
+ for m in modes:
+ if m not in size_dict:
+ size_dict[m] = np.random.randint(2,6)
+ shape.append(size_dict[m])
+ operands.append(np.random.random(shape))
+
+subscripts = ",".join(inputs) + "->" + ",".join(outputs)
+
+# contraction followed by QR decomposition
+algorithm = {'qr_method':{}, 'svd_method':False}
+
+q, r = contract_decompose(subscripts, *operands, algorithm=algorithm)
+
+# compute the full network contraction using the original input operands
+result = contract(",".join(inputs), *operands)
+# compute the full network contraction using the decomposed outputs
+result_reference = contract(",".join(outputs), q, r)
+
+diff = abs(result - result_reference).max()
+print(f"After contract and QR decomposition")
+print(f"max diff={diff}")
diff --git a/python/samples/cutensornet/experimental/example05-contract_SVD_decompose.py b/python/samples/cutensornet/experimental/example05-contract_SVD_decompose.py
new file mode 100644
index 0000000..fba1789
--- /dev/null
+++ b/python/samples/cutensornet/experimental/example05-contract_SVD_decompose.py
@@ -0,0 +1,45 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""
+Example of contract and SVD decompose an arbitrary network
+
+NumPy ndarrays are used as inputs.
+"""
+import numpy as np
+
+from cuquantum import contract, tensor
+from cuquantum.cutensornet.experimental import contract_decompose
+
+
+inputs = ('ab', 'bcd', 'cde', 'exg', 'ayg')
+outputs = ('xz', 'zy')
+
+# creating random input tensors
+np.random.seed(0)
+size_dict = {}
+operands = []
+for modes in inputs:
+ shape = []
+ for m in modes:
+ if m not in size_dict:
+ size_dict[m] = np.random.randint(2,6)
+ shape.append(size_dict[m])
+ operands.append(np.random.random(shape))
+
+subscripts = ",".join(inputs) + "->" + ",".join(outputs)
+
+# contraction followed by SVD decomposition
+algorithm = {'qr_method':False, 'svd_method':{'partition':'UV'}} # S is equally partitioned onto u and v
+
+u, _, v = contract_decompose(subscripts, *operands, algorithm=algorithm)
+
+# compute the full network contraction using the original input operands
+result = contract(",".join(inputs), *operands)
+# compute the full network contraction using the decomposed outputs
+result_reference = contract(",".join(outputs), u, v)
+
+diff = abs(result - result_reference).max()
+print(f"After contract and SVD decomposition")
+print(f"Max diff={diff}")
diff --git a/python/samples/cutensornet/experimental/example06-ellipses_notation.py b/python/samples/cutensornet/experimental/example06-ellipses_notation.py
new file mode 100644
index 0000000..b11ba5a
--- /dev/null
+++ b/python/samples/cutensornet/experimental/example06-ellipses_notation.py
@@ -0,0 +1,79 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""
+Example of Ellipses notation with contract_decompose
+
+NumPy ndarrays are used as inputs.
+"""
+import numpy as np
+
+from cuquantum import contract
+from cuquantum.cutensornet.experimental import contract_decompose
+
+
+a = np.ones((2,2,2,2))
+b = np.ones((2,2,2,2))
+
+# here we use contract and SVD decomposition to show usage of ellipsis
+abs_cutoff = 1e-12
+algorithm = {
+ 'qr_method' : False,
+ 'svd_method': {'abs_cutoff':abs_cutoff, 'partition': None} # singular values are partitioned onto A/B equally
+}
+
+################################################
+### Case I. Ellipses in one input and one output
+################################################
+
+ellipsis_subscripts = 'abcd,cd...->abx,...x'
+equivalent_subscripts = 'abcd,cdef->abx,efx'
+
+a0, s0, b0 = contract_decompose(ellipsis_subscripts, a, b, algorithm=algorithm)
+a1, s1, b1 = contract_decompose(equivalent_subscripts, a, b, algorithm=algorithm)
+
+equal = np.allclose(s0, s1)
+print(f"For the given operands, ``{ellipsis_subscripts}`` equal to ``{equivalent_subscripts}`` ? : {equal}")
+assert equal
+
+##################################
+### Case II. Ellipses in one input
+##################################
+
+ellipsis_subscripts = 'abcd,d...->abx,cx'
+equivalent_subscripts = 'abcd,defg->abx,cx'
+
+a0, s0, b0 = contract_decompose(ellipsis_subscripts, a, b, algorithm=algorithm)
+a1, s1, b1 = contract_decompose(equivalent_subscripts, a, b, algorithm=algorithm)
+
+equal = np.allclose(s0, s1)
+print(f"For the given operands, ``{ellipsis_subscripts}`` equal to ``{equivalent_subscripts}`` ? : {equal}")
+assert equal
+
+#############################################
+### Case III. Ellipses in more than one input
+#############################################
+ellipsis_subscripts = 'ab...,bc...->ax,cx'
+equivalent_subscripts = 'abef,bcef->ax,cx'
+
+a0, s0, b0 = contract_decompose(ellipsis_subscripts, a, b, algorithm=algorithm)
+a1, s1, b1 = contract_decompose(equivalent_subscripts, a, b, algorithm=algorithm)
+
+equal = np.allclose(s0, s1)
+print(f"For the given operands, ``{ellipsis_subscripts}`` equal to ``{equivalent_subscripts}`` ? : {equal}")
+assert equal
+
+###########################################################
+### Case IV. Ellipses in more than one input and one output
+##########################################################
+
+ellipsis_subscripts = 'ab...,bc...->ax...,cx'
+equivalent_subscripts = 'abef,bcef->axef,cx'
+
+a0, s0, b0 = contract_decompose(ellipsis_subscripts, a, b, algorithm=algorithm)
+a1, s1, b1 = contract_decompose(equivalent_subscripts, a, b, algorithm=algorithm)
+
+equal = np.allclose(s0, s1)
+print(f"For the given operands, ``{ellipsis_subscripts}`` equal to ``{equivalent_subscripts}`` ? : {equal}")
+assert equal
diff --git a/python/samples/cutensornet/fine/example1.py b/python/samples/cutensornet/fine/example1.py
index 5a8aede..ce075f2 100644
--- a/python/samples/cutensornet/fine/example1.py
+++ b/python/samples/cutensornet/fine/example1.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/cutensornet/fine/example2_mpi.py b/python/samples/cutensornet/fine/example2_mpi.py
index 64db61a..3d34389 100644
--- a/python/samples/cutensornet/fine/example2_mpi.py
+++ b/python/samples/cutensornet/fine/example2_mpi.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/cutensornet/fine/example3_mpi_buffered.py b/python/samples/cutensornet/fine/example3_mpi_buffered.py
index 4fa773e..5430081 100644
--- a/python/samples/cutensornet/fine/example3_mpi_buffered.py
+++ b/python/samples/cutensornet/fine/example3_mpi_buffered.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/cutensornet/fine/example4_mpi_nccl.py b/python/samples/cutensornet/fine/example4_mpi_nccl.py
index c87a509..3229043 100644
--- a/python/samples/cutensornet/fine/example4_mpi_nccl.py
+++ b/python/samples/cutensornet/fine/example4_mpi_nccl.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/samples/cutensornet/tensor/example01-qr_numpy.py b/python/samples/cutensornet/tensor/example01-qr_numpy.py
new file mode 100644
index 0000000..edf0607
--- /dev/null
+++ b/python/samples/cutensornet/tensor/example01-qr_numpy.py
@@ -0,0 +1,20 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""
+QR Example using NumPy ndarray.
+
+The decomposition results are also NumPy ndarrays.
+"""
+import numpy as np
+
+from cuquantum import tensor
+
+
+a = np.ones((3,2,4,5))
+
+q, r = tensor.decompose("ijab->ixa,xbj", a)
+print(q)
+print(r)
+
diff --git a/python/samples/cutensornet/tensor/example02-qr_cupy.py b/python/samples/cutensornet/tensor/example02-qr_cupy.py
new file mode 100644
index 0000000..364a13f
--- /dev/null
+++ b/python/samples/cutensornet/tensor/example02-qr_cupy.py
@@ -0,0 +1,20 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""
+QR Example using CuPy ndarray.
+
+The decomposition results are also CuPy ndarrays.
+"""
+import cupy as cp
+
+from cuquantum import tensor
+
+
+a = cp.ones((3,2,4,5))
+
+q, r = tensor.decompose("ijab->ixa,xbj", a)
+print(q)
+print(r)
+
diff --git a/python/samples/cutensornet/tensor/example03-qr_torch.py b/python/samples/cutensornet/tensor/example03-qr_torch.py
new file mode 100644
index 0000000..cc8131a
--- /dev/null
+++ b/python/samples/cutensornet/tensor/example03-qr_torch.py
@@ -0,0 +1,20 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""
+QR Example using PyTorch Tensor.
+
+The decomposition results are also PyTorch Tensors.
+"""
+import torch
+
+from cuquantum import tensor
+
+
+a = torch.ones((3,2,4,5))
+
+q, r = tensor.decompose("ijab->ixa,xbj", a)
+print(q)
+print(r)
+
diff --git a/python/samples/cutensornet/tensor/example04-svd_numpy.py b/python/samples/cutensornet/tensor/example04-svd_numpy.py
new file mode 100644
index 0000000..9f8e2fe
--- /dev/null
+++ b/python/samples/cutensornet/tensor/example04-svd_numpy.py
@@ -0,0 +1,19 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""
+SVD Example using NumPy ndarray.
+
+The decomposition results are also NumPy ndarrays.
+"""
+import numpy as np
+
+from cuquantum import tensor
+
+
+a = np.ones((3,2,4,5))
+
+u, s, v = tensor.decompose("ijab->ixa,xbj", a, method=tensor.SVDMethod())
+print(s)
+
diff --git a/python/samples/cutensornet/tensor/example05-svd_cupy.py b/python/samples/cutensornet/tensor/example05-svd_cupy.py
new file mode 100644
index 0000000..1fa6202
--- /dev/null
+++ b/python/samples/cutensornet/tensor/example05-svd_cupy.py
@@ -0,0 +1,19 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""
+SVD Example using CuPy ndarray.
+
+The decomposition results are also CuPy ndarrays.
+"""
+import cupy as cp
+
+from cuquantum import tensor
+
+
+a = cp.ones((3,2,4,5))
+
+u, s, v = tensor.decompose("ijab->ixa,xbj", a, method=tensor.SVDMethod())
+print(s)
+
diff --git a/python/samples/cutensornet/tensor/example06-svd_torch.py b/python/samples/cutensornet/tensor/example06-svd_torch.py
new file mode 100644
index 0000000..de2113a
--- /dev/null
+++ b/python/samples/cutensornet/tensor/example06-svd_torch.py
@@ -0,0 +1,19 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""
+SVD Example using PyTorch Tensor.
+
+The decomposition results are also PyTorch Tensors.
+"""
+import torch
+
+from cuquantum import tensor
+
+
+a = torch.ones((3,2,4,5))
+
+u, s, v = tensor.decompose("ijab->ixa,xbj", a, method=tensor.SVDMethod())
+print(s)
+
diff --git a/python/samples/cutensornet/tensor/example07-stream.py b/python/samples/cutensornet/tensor/example07-stream.py
new file mode 100644
index 0000000..b49f880
--- /dev/null
+++ b/python/samples/cutensornet/tensor/example07-stream.py
@@ -0,0 +1,22 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""
+QR Example using NumPy ndarray. Specify the CUDA stream for the computation
+
+The decomposition results are also NumPy ndarrays.
+"""
+import numpy as np
+import cupy as cp
+
+from cuquantum import tensor
+
+
+a = np.ones((3,2,4,5))
+
+stream = cp.cuda.Stream()
+q, r = tensor.decompose("ijab->ixa,xbj", a, stream=stream)
+print(q)
+print(r)
+
diff --git a/python/samples/cutensornet/tensor/example08-logging.py b/python/samples/cutensornet/tensor/example08-logging.py
new file mode 100644
index 0000000..f87c962
--- /dev/null
+++ b/python/samples/cutensornet/tensor/example08-logging.py
@@ -0,0 +1,23 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""
+QR Example using NumPy ndarray. Specify the logging options
+
+The decomposition results are also NumPy ndarrays.
+"""
+import logging
+
+import numpy as np
+
+from cuquantum import tensor
+
+
+a = np.ones((3,2,4,5))
+
+logging.basicConfig(level=logging.DEBUG, format='%(asctime)s %(levelname)-8s %(message)s', datefmt='%m-%d %H:%M:%S')
+q, r = tensor.decompose("ijab->ixa,xbj", a)
+print(q)
+print(r)
+
diff --git a/python/samples/cutensornet/tensor/example09-svd_truncation.py b/python/samples/cutensornet/tensor/example09-svd_truncation.py
new file mode 100644
index 0000000..c6c2f10
--- /dev/null
+++ b/python/samples/cutensornet/tensor/example09-svd_truncation.py
@@ -0,0 +1,27 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""
+truncated SVD Example using NumPy ndarray. Return truncation information.
+
+The decomposition results are also NumPy ndarrays.
+"""
+import numpy as np
+
+from cuquantum import tensor
+
+
+a = np.ones((3,2,4,5))
+
+method = {'max_extent': 4,
+ 'abs_cutoff': 0.1,
+ 'rel_cutoff': 0.1}
+
+# equivalent usage below:
+#method = tensor.SVDMethod(**method)
+
+u, s, v, info = tensor.decompose("ijab->ixa,xbj", a, method=method, return_info=True)
+print(s)
+print(info)
+
diff --git a/python/samples/cutensornet/tensor/example10-decomposition_options.py b/python/samples/cutensornet/tensor/example10-decomposition_options.py
new file mode 100644
index 0000000..d50d224
--- /dev/null
+++ b/python/samples/cutensornet/tensor/example10-decomposition_options.py
@@ -0,0 +1,27 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""
+truncated SVD Example using NumPy ndarray. Return truncation information.
+
+The decomposition results are also NumPy ndarrays.
+"""
+import numpy as np
+
+from cuquantum import tensor
+import cuquantum.cutensornet as cutn
+
+a = np.ones((3,2,4,5))
+
+
+handle = cutn.create()
+options = {'device_id': 0,
+ 'handle': handle}
+q, r = tensor.decompose("ijab->ixa,xbj", a, options=options)
+
+cutn.destroy(handle)
+
+print(q)
+print(r)
+
diff --git a/python/samples/cutensornet/tensor/example11-qr_ellipses.py b/python/samples/cutensornet/tensor/example11-qr_ellipses.py
new file mode 100644
index 0000000..1e6f819
--- /dev/null
+++ b/python/samples/cutensornet/tensor/example11-qr_ellipses.py
@@ -0,0 +1,22 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""
+QR Example using CuPy ndarray with ellipsis notation.
+
+The decomposition results are also CuPy ndarrays.
+"""
+import cupy as cp
+
+from cuquantum import tensor
+
+
+a = cp.ones((3,2,4,5))
+
+q, r = tensor.decompose("ij...->ix,xj...", a)
+q1, r1 = tensor.decompose("ijab->ix,xjab", a)
+
+assert q.shape == q1.shape
+assert r.shape == r1.shape
+
diff --git a/python/samples/cutensornet/tensornet_example.py b/python/samples/cutensornet/tensornet_example.py
index ab030e3..18c5db6 100755
--- a/python/samples/cutensornet/tensornet_example.py
+++ b/python/samples/cutensornet/tensornet_example.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
@@ -137,14 +137,16 @@
work_desc = cutn.create_workspace_descriptor(handle)
cutn.workspace_compute_contraction_sizes(handle, desc_net, optimizer_info, work_desc)
-required_workspace_size = cutn.workspace_get_size(
+required_workspace_size = cutn.workspace_get_memory_size(
handle, work_desc,
cutn.WorksizePref.MIN,
- cutn.Memspace.DEVICE)
+ cutn.Memspace.DEVICE,
+ cutn.WorkspaceKind.SCRATCH)
work = cp.cuda.alloc(required_workspace_size)
-cutn.workspace_set(
+cutn.workspace_set_memory(
handle, work_desc,
cutn.Memspace.DEVICE,
+ cutn.WorkspaceKind.SCRATCH,
work.ptr, required_workspace_size)
plan = cutn.create_contraction_plan(handle, desc_net, optimizer_info, work_desc)
diff --git a/python/samples/cutensornet/tensornet_example_mpi.py b/python/samples/cutensornet/tensornet_example_mpi.py
index 956c63e..dac45b2 100755
--- a/python/samples/cutensornet/tensornet_example_mpi.py
+++ b/python/samples/cutensornet/tensornet_example_mpi.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
@@ -211,14 +211,16 @@
work_desc = cutn.create_workspace_descriptor(handle)
cutn.workspace_compute_contraction_sizes(handle, desc_net, optimizer_info, work_desc)
-required_workspace_size = cutn.workspace_get_size(
+required_workspace_size = cutn.workspace_get_memory_size(
handle, work_desc,
cutn.WorksizePref.MIN,
- cutn.Memspace.DEVICE)
+ cutn.Memspace.DEVICE,
+ cutn.WorkspaceKind.SCRATCH)
work = cp.cuda.alloc(required_workspace_size)
-cutn.workspace_set(
+cutn.workspace_set_memory(
handle, work_desc,
cutn.Memspace.DEVICE,
+ cutn.WorkspaceKind.SCRATCH,
work.ptr, required_workspace_size)
if rank == root:
diff --git a/python/samples/cutensornet/tensornet_example_mpi_auto.py b/python/samples/cutensornet/tensornet_example_mpi_auto.py
index 1365d44..5f75820 100755
--- a/python/samples/cutensornet/tensornet_example_mpi_auto.py
+++ b/python/samples/cutensornet/tensornet_example_mpi_auto.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
@@ -177,14 +177,16 @@
work_desc = cutn.create_workspace_descriptor(handle)
cutn.workspace_compute_contraction_sizes(handle, desc_net, optimizer_info, work_desc)
-required_workspace_size = cutn.workspace_get_size(
+required_workspace_size = cutn.workspace_get_memory_size(
handle, work_desc,
cutn.WorksizePref.MIN,
- cutn.Memspace.DEVICE)
+ cutn.Memspace.DEVICE,
+ cutn.WorkspaceKind.SCRATCH)
work = cp.cuda.alloc(required_workspace_size)
-cutn.workspace_set(
+cutn.workspace_set_memory(
handle, work_desc,
cutn.Memspace.DEVICE,
+ cutn.WorkspaceKind.SCRATCH,
work.ptr, required_workspace_size)
if rank == root:
diff --git a/python/samples/cutensornet/tensornet_example_reuse.py b/python/samples/cutensornet/tensornet_example_reuse.py
new file mode 100644
index 0000000..2a6899c
--- /dev/null
+++ b/python/samples/cutensornet/tensornet_example_reuse.py
@@ -0,0 +1,266 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
+
+import cupy as cp
+import numpy as np
+
+import cuquantum
+from cuquantum import cutensornet as cutn
+
+
+print("cuTensorNet-vers:", cutn.get_version())
+dev = cp.cuda.Device() # get current device
+props = cp.cuda.runtime.getDeviceProperties(dev.id)
+print("===== device info ======")
+print("GPU-name:", props["name"].decode())
+print("GPU-clock:", props["clockRate"])
+print("GPU-memoryClock:", props["memoryClockRate"])
+print("GPU-nSM:", props["multiProcessorCount"])
+print("GPU-major:", props["major"])
+print("GPU-minor:", props["minor"])
+print("========================")
+
+############################################################################################
+# Computing: O_{a,m} = A_{a,b,c,d} B_{b,c,d,e} C_{e,f,g,h} D_{g,h,i,j} E_{i,j,k,l} F_{k,l,m}
+############################################################################################
+
+print("Include headers and define data types.")
+
+data_type = cuquantum.cudaDataType.CUDA_R_32F
+compute_type = cuquantum.ComputeType.COMPUTE_32F
+num_inputs = 6
+
+# Create an array of modes
+modes_A = [ord(c) for c in ('a','b','c','d')]
+modes_B = [ord(c) for c in ('b','c','d','e')]
+modes_C = [ord(c) for c in ('e','f','g','h')]
+modes_D = [ord(c) for c in ('g','h','i','j')]
+modes_E = [ord(c) for c in ('i','j','k','l')]
+modes_F = [ord(c) for c in ('k','l','m')]
+modes_O = [ord(c) for c in ('a','m')]
+
+# Create an array of extents (shapes) for each tensor
+dim = 8
+extent_A = (dim,) * 4
+extent_B = (dim,) * 4
+extent_C = (dim,) * 4
+extent_D = (dim,) * 4
+extent_E = (dim,) * 4
+extent_F = (dim,) * 3
+extent_O = (dim,) * 2
+
+print("Define network, modes, and extents.")
+
+#################
+# Initialize data
+#################
+
+A_d = cp.random.random((np.prod(extent_A),), dtype=np.float32)
+B_d = cp.random.random((np.prod(extent_B),), dtype=np.float32)
+C_d = cp.random.random((np.prod(extent_C),), dtype=np.float32)
+D_d = cp.random.random((np.prod(extent_D),), dtype=np.float32)
+E_d = cp.random.random((np.prod(extent_E),), dtype=np.float32)
+F_d = cp.random.random((np.prod(extent_F),), dtype=np.float32)
+O_d = cp.zeros((np.prod(extent_O),), dtype=np.float32)
+raw_data_in_d = (A_d.data.ptr, B_d.data.ptr, C_d.data.ptr, D_d.data.ptr, E_d.data.ptr, F_d.data.ptr)
+
+#############
+# cuTensorNet
+#############
+
+stream = cp.cuda.Stream()
+handle = cutn.create()
+
+nmode_A = len(modes_A)
+nmode_B = len(modes_B)
+nmode_C = len(modes_C)
+nmode_D = len(modes_D)
+nmode_E = len(modes_E)
+nmode_F = len(modes_F)
+nmode_O = len(modes_O)
+
+###############################
+# Create Contraction Descriptor
+###############################
+
+modes_in = (modes_A, modes_B, modes_C, modes_D, modes_E, modes_F)
+extents_in = (extent_A, extent_B, extent_C, extent_D, extent_E, extent_F)
+num_modes_in = (nmode_A, nmode_B, nmode_C, nmode_D, nmode_E, nmode_F)
+
+# Strides are optional; if no stride (0) is provided, then cuTensorNet assumes a generalized column-major data layout
+strides_in = (0, 0, 0, 0, 0, 0)
+
+# Set up the tensor qualifiers for all input tensors
+qualifiers_in = np.zeros(num_inputs, dtype=cutn.tensor_qualifiers_dtype)
+for i in range(5):
+ qualifiers_in[i]['is_constant'] = True
+
+# Set up tensor network
+desc_net = cutn.create_network_descriptor(handle,
+ num_inputs, num_modes_in, extents_in, strides_in, modes_in, qualifiers_in, # inputs
+ nmode_O, extent_O, 0, modes_O, # output
+ data_type, compute_type)
+
+print("Initialize the cuTensorNet library and create a network descriptor.")
+
+#####################################################
+# Choose workspace limit based on available resources
+#####################################################
+
+free_mem, total_mem = dev.mem_info
+workspace_limit = int(free_mem * 0.9)
+
+##############################################
+# Set contraction order and slicing
+##############################################
+
+optimizer_info = cutn.create_contraction_optimizer_info(handle, desc_net)
+
+path_dtype = cutn.contraction_optimizer_info_get_attribute_dtype(cutn.ContractionOptimizerInfoAttribute.PATH)
+path = np.asarray([(0, 1), (0, 4), (0, 3), (0, 2), (0, 1)], dtype=np.int32)
+path_obj = np.zeros((1,), dtype=path_dtype)
+path_obj["num_contractions"] = num_inputs - 1
+path_obj["data"] = path.ctypes.data
+
+cutn.contraction_optimizer_info_set_attribute(
+ handle, optimizer_info, cutn.ContractionOptimizerInfoAttribute.PATH,
+ path_obj.ctypes.data, path_obj.dtype.itemsize)
+
+num_slices_dtype = cutn.contraction_optimizer_info_get_attribute_dtype(
+ cutn.ContractionOptimizerInfoAttribute.NUM_SLICES)
+num_slices = np.zeros((1,), dtype=num_slices_dtype)
+cutn.contraction_optimizer_info_get_attribute(
+ handle, optimizer_info, cutn.ContractionOptimizerInfoAttribute.NUM_SLICES,
+ num_slices.ctypes.data, num_slices.dtype.itemsize)
+num_slices = int(num_slices)
+
+assert num_slices > 0
+
+print("Set contraction path into cuTensorNet optimizer.")
+
+###########################################################
+# Initialize all pair-wise contraction plans (for cuTENSOR)
+###########################################################
+
+work_desc = cutn.create_workspace_descriptor(handle)
+cutn.workspace_compute_contraction_sizes(handle, desc_net, optimizer_info, work_desc)
+required_scratch_workspace_size = cutn.workspace_get_memory_size(
+ handle, work_desc,
+ cutn.WorksizePref.MIN,
+ cutn.Memspace.DEVICE,
+ cutn.WorkspaceKind.SCRATCH)
+work_scratch = cp.cuda.alloc(required_scratch_workspace_size)
+cutn.workspace_set_memory(
+ handle, work_desc,
+ cutn.Memspace.DEVICE,
+ cutn.WorkspaceKind.SCRATCH,
+ work_scratch.ptr, required_scratch_workspace_size)
+required_cache_workspace_size = cutn.workspace_get_memory_size(
+ handle, work_desc,
+ cutn.WorksizePref.MIN,
+ cutn.Memspace.DEVICE,
+ cutn.WorkspaceKind.CACHE)
+work_cache = cp.cuda.alloc(required_cache_workspace_size)
+cutn.workspace_set_memory(
+ handle, work_desc,
+ cutn.Memspace.DEVICE,
+ cutn.WorkspaceKind.CACHE,
+ work_cache.ptr, required_cache_workspace_size)
+plan = cutn.create_contraction_plan(handle, desc_net, optimizer_info, work_desc)
+
+###################################################################################
+# Optional: Auto-tune cuTENSOR's cutensorContractionPlan to pick the fastest kernel
+###################################################################################
+
+pref = cutn.create_contraction_autotune_preference(handle)
+
+num_autotuning_iterations = 5 # may be 0
+n_iter_dtype = cutn.contraction_autotune_preference_get_attribute_dtype(
+ cutn.ContractionAutotunePreferenceAttribute.MAX_ITERATIONS)
+num_autotuning_iterations = np.asarray([num_autotuning_iterations], dtype=n_iter_dtype)
+cutn.contraction_autotune_preference_set_attribute(
+ handle, pref,
+ cutn.ContractionAutotunePreferenceAttribute.MAX_ITERATIONS,
+ num_autotuning_iterations.ctypes.data, num_autotuning_iterations.dtype.itemsize)
+
+# Modify the plan again to find the best pair-wise contractions
+cutn.contraction_autotune(
+ handle, plan, raw_data_in_d, O_d.data.ptr,
+ work_desc, pref, stream.ptr)
+
+cutn.destroy_contraction_autotune_preference(pref)
+
+print("Create a contraction plan for cuTENSOR and optionally auto-tune it.")
+
+###########
+# Execution
+###########
+
+minTimeCUTENSORNET = 1e100
+firstTimeCUTENSORNET = 1e100
+num_runs = 3 # to get stable perf results
+e1 = cp.cuda.Event()
+e2 = cp.cuda.Event()
+slice_group = cutn.create_slice_group_from_id_range(handle, 0, num_slices, 1)
+
+for i in range(num_runs):
+ # Contract over all slices.
+ # A user may choose to parallelize over the slices across multiple devices.
+ e1.record()
+ cutn.contract_slices(
+ handle, plan, raw_data_in_d, O_d.data.ptr, False,
+ work_desc, slice_group, stream.ptr)
+ e2.record()
+
+ # Synchronize and measure timing
+ e2.synchronize()
+ time = cp.cuda.get_elapsed_time(e1, e2) / 1000 # ms -> s
+ minTimeCUTENSORNET = minTimeCUTENSORNET if minTimeCUTENSORNET < time else time
+ firstTimeCUTENSORNET = firstTimeCUTENSORNET if i > 0 else time
+
+print("Contract the network, each slice uses the same contraction plan.")
+
+# free up the workspace
+del work_scratch
+del work_cache
+
+# Recall that we set strides to null (0), so the data are in F-contiguous layout
+A_d = A_d.reshape(extent_A, order='F')
+B_d = B_d.reshape(extent_B, order='F')
+C_d = C_d.reshape(extent_C, order='F')
+D_d = D_d.reshape(extent_D, order='F')
+E_d = E_d.reshape(extent_E, order='F')
+F_d = F_d.reshape(extent_F, order='F')
+O_d = O_d.reshape(extent_O, order='F')
+
+# Compute the reference using cupy.einsum with the same path
+path = ['einsum_path'] + path.tolist()
+out = cp.einsum("abcd,bcde,efgh,ghij,ijkl,klm->am", A_d, B_d, C_d, D_d, E_d, F_d, optimize=path)
+if not cp.allclose(out, O_d):
+ raise RuntimeError("result is incorrect")
+print("Check cuTensorNet result against that of cupy.einsum().")
+
+#######################################################
+
+flops_dtype = cutn.contraction_optimizer_info_get_attribute_dtype(
+ cutn.ContractionOptimizerInfoAttribute.FLOP_COUNT)
+flops = np.zeros((1,), dtype=flops_dtype)
+cutn.contraction_optimizer_info_get_attribute(
+ handle, optimizer_info, cutn.ContractionOptimizerInfoAttribute.FLOP_COUNT,
+ flops.ctypes.data, flops.dtype.itemsize)
+flops = float(flops)
+
+print(f"num_slices: {num_slices}")
+print(f"First run (intermediate tensors get cached): {firstTimeCUTENSORNET * 1000 / num_slices} ms / slice")
+print(f"Subsequent run (cache reused): {minTimeCUTENSORNET * 1000 / num_slices} ms / slice")
+print(f"{flops / 1e9 / minTimeCUTENSORNET} GFLOPS/s")
+
+cutn.destroy_slice_group(slice_group)
+cutn.destroy_contraction_plan(plan)
+cutn.destroy_contraction_optimizer_info(optimizer_info)
+cutn.destroy_network_descriptor(desc_net)
+cutn.destroy_workspace_descriptor(work_desc)
+cutn.destroy(handle)
+
+print("Free resource and exit.")
diff --git a/python/samples/cutensornet/tn_algorithms/mps_algorithms.ipynb b/python/samples/cutensornet/tn_algorithms/mps_algorithms.ipynb
new file mode 100644
index 0000000..74ba4df
--- /dev/null
+++ b/python/samples/cutensornet/tn_algorithms/mps_algorithms.ipynb
@@ -0,0 +1,947 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "98fd8b85-eba5-40e2-9d30-a67c1bc21af5",
+ "metadata": {},
+ "source": [
+ "Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES\n",
+ "\n",
+ "SPDX-License-Identifier: BSD-3-Clause"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "61d9c687-8903-4429-8e8a-2ba3b1e62c92",
+ "metadata": {},
+ "source": [
+ "In this notebook we will go over some examples on how to use cuTensorNet to execute basic MPS algorithms for quantum circuit simulation. \n",
+ "\n",
+ "This notebook will guide you through the following tasks:\n",
+ " - I. Initializing an entangled quantum circuit as a basis.\n",
+ " - II. Constructing an MPS from a quantum circuit and verifying its correctness.\n",
+ " - III. Computing the expectation value of an MPS, with and without canonicalization.\n",
+ " - IV. Performing MPS-MPO multiplication, with and without approximation.\n",
+ "\n",
+ "Note that we will use `cupy.ndarray` for operands throughout this notebook."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "5f1d62b2-6929-4f43-9ab4-8782020a9253",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import cupy as cp\n",
+ "import numpy as np\n",
+ "\n",
+ "from cuquantum import contract, contract_path, CircuitToEinsum, tensor\n",
+ "from cuquantum import cutensornet as cutn\n",
+ "from cuquantum.cutensornet.experimental import contract_decompose\n",
+ "\n",
+ "np.random.seed(0)\n",
+ "cp.random.seed(0)\n",
+ "\n",
+ "# We will reuse library handle in this notebook to reduce the context initialization time.\n",
+ "handle = cutn.create()\n",
+ "options = {'handle': handle}"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "5cf67eea-4d55-44c7-83db-7f951680450a",
+ "metadata": {},
+ "source": [
+ "# I. Generate an Entangled Circuit\n",
+ "\n",
+ "Here we start with a parameterized, entangled circuit as our basis for MPS simulation. \n",
+ "\n",
+ "This can be easily achieved using the `TwoLocal` class in `qiskit` or by providing a customized generator to `cirq.Circuit`."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "09a12b4b-622b-45ed-aba8-08ca91fa22df",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 2,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "def get_entangled_circuit(num_qubits, reps, backend):\n",
+ " \"\"\"\n",
+ " Create an entangled circuit for the given number of qubits and repetitions (layers).\n",
+ " \n",
+ " Args:\n",
+ " num_qubits: The number of qubits.\n",
+ " reps: Specifies how often the rotation blocks and entanglement blocks are repeated.\n",
+ " backend: The quantum circuit backend. Currently supports `'qiskit'` and `'cirq'`\n",
+ " \n",
+ " Returns:\n",
+ " An entangled circuit instance.\n",
+ " \"\"\"\n",
+ " \n",
+ " if backend not in ('qiskit', 'cirq'):\n",
+ " raise ValueError(f\"{backend} not supported. Must be either qiskit or cirq\")\n",
+ " if backend == 'qiskit':\n",
+ " from qiskit.circuit.library.n_local.two_local import TwoLocal\n",
+ " layer_1 = [(2*i, 2*i+1) for i in range(num_qubits//2)]\n",
+ " layer_2 = [(2*i+1, 2*i+2) for i in range((num_qubits-1)//2)]\n",
+ " circuit = TwoLocal(num_qubits, 'rx', ['cy'], [layer_1, layer_2], reps=reps)\n",
+ " circuit = circuit.decompose()\n",
+ "\n",
+ " # bind the circuit ansatz with random parameters\n",
+ " random_params = np.around(np.random.random(len(circuit.parameters)), decimals=3)\n",
+ " params = dict(zip(circuit.parameters, random_params))\n",
+ " circuit = circuit.bind_parameters(params)\n",
+ " else:\n",
+ " import cirq\n",
+ " def add_entangled_layers(qubits, reps):\n",
+ " n_qubits = len(qubits)\n",
+ " for n in range(reps):\n",
+ " rads = np.random.random(n_qubits)\n",
+ " for i, q in enumerate(qubits):\n",
+ " yield cirq.rx(rads[i])(q)\n",
+ " for i in range(n%2, n_qubits-1, 2):\n",
+ " yield cirq.CX(qubits[i], qubits[i+1])\n",
+ " circuit = cirq.Circuit(add_entangled_layers(cirq.LineQubit.range(num_qubits), reps))\n",
+ " return circuit\n",
+ "\n",
+ "# Example using 8 qubits and 6 repeated entangled layers\n",
+ "num_qubits = 8\n",
+ "reps = 6 # depth/num of layers\n",
+ "\n",
+ "backend = 'qiskit' # also works for 'cirq'\n",
+ "circuit = get_entangled_circuit(num_qubits, reps, backend)\n",
+ "\n",
+ "circuit.draw(output=\"mpl\") # print(circuit) for backend='cirq'"
+ ]
+ },
+ {
+ "attachments": {
+ "7d5870b7-c80c-4190-b2ed-d598e137dcad.png": {
+ "image/png": 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"
+ }
+ },
+ "cell_type": "markdown",
+ "id": "b5ee8d9c-5db1-4785-8a91-b554133493e7",
+ "metadata": {},
+ "source": [
+ "# II. MPS Construction\n",
+ "\n",
+ "The figure below shows the diagrammatic representation of a 6-site MPS, where the vertical black bonds represent all the qubit modes and the horizontal red bonds denote the virtual modes connecting adjacent qubits. \n",
+ "\n",
+ "\n",
+ "\n",
+ "Note: In this sample, we've inserted a dummy mode at the beginning and the end of the MPS to make it easier to generalize the handling of boundary conditions. This does not affect the outcome. \n",
+ "\n",
+ "The MPS representation of the circuit can be obtained by iteratively applying all gates to the initial MPS (typically $|\\Psi_0\\rangle = |00...00\\rangle$). \n",
+ "In the subsequent subsections, we'll go through these operations step by step followed by verification of correctness.\n",
+ "\n",
+ "## II(a) Initialization\n",
+ "\n",
+ "We begin by creating the initial MPS state $|\\Psi_0\\rangle = |00...00\\rangle$. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "14dfd22a-2fd6-4a6e-8dba-c30efd0d1840",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def get_initial_mps(num_qubits, dtype='complex128'):\n",
+ " \"\"\"\n",
+ " Generate the MPS with an initial state of |00...00> \n",
+ " \"\"\"\n",
+ " state_tensor = cp.asarray([1, 0], dtype=dtype).reshape(1,2,1)\n",
+ " mps_tensors = [state_tensor] * num_qubits\n",
+ " return mps_tensors\n",
+ "\n",
+ "dtype = 'complex128' # we will use double precision throughout this notebook\n",
+ "mps_tensors = get_initial_mps(num_qubits, dtype=dtype)"
+ ]
+ },
+ {
+ "attachments": {
+ "bbad5491-2744-4842-9eb8-c5470461ec8b.png": {
+ "image/png": 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"
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"
+ }
+ },
+ "cell_type": "markdown",
+ "id": "3ec42238-6f74-4998-a5c6-3f28db1e0051",
+ "metadata": {},
+ "source": [
+ "## II(b) Apply Gates to the MPS\n",
+ "\n",
+ "Given an initial MPS state, we can begin applying all the gates in the quantum circuit to form the final MPS. \n",
+ "The diagram below describes the application of single-qubit and two-qubit gates to an MPS. \n",
+ "\n",
+ "\n",
+ "\n",
+ "Specifically, application of a single-qubit gate amounts to a contraction problem dispatched to `cuquantum.contract`, while the application of a two-qubit gate maps to a contract-and-decompose task handled by `cuquantum.cutensornet.experimental.contract_decompose`.\n",
+ "\n",
+ "Note: In the case of a two-qubit gate acting on non-adjacent qubits, an iterative swap step is required to first make the two qubits adjacent. \n",
+ "There are multiple ways to achieve this goal. The diagram below describes two typical algorithms to swap the qubit indices of adjacent sites. \n",
+ "Before the application of gate, adjacent sites are swapped iteratively until the two involved sites are made adjacent. \n",
+ "After the gate operand is applied, a reverse swap sweep is also needed to revert back to the original MPS site ordering.\n",
+ "\n",
+ "\n",
+ "\n",
+ "Although we will not encounter non-adjacent two-qubit gates in this example circuit, our `apply_gate` routine below supports the first swap algorithm in the diagram."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "0fa19338-de04-4574-adbb-1d065be90e2d",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Final MPS is constructed with the following shapes\n",
+ "site 0, shape: (1, 2, 2)\n",
+ "site 1, shape: (2, 2, 4)\n",
+ "site 2, shape: (4, 2, 8)\n",
+ "site 3, shape: (8, 2, 8)\n",
+ "site 4, shape: (8, 2, 8)\n",
+ "site 5, shape: (8, 2, 4)\n",
+ "site 6, shape: (4, 2, 2)\n",
+ "site 7, shape: (2, 2, 1)\n"
+ ]
+ }
+ ],
+ "source": [
+ "def mps_site_right_swap(\n",
+ " mps_tensors, \n",
+ " i, \n",
+ " algorithm=None, \n",
+ " options=None\n",
+ "):\n",
+ " \"\"\"\n",
+ " Perform the swap operation between the ith and i+1th MPS tensors.\n",
+ " \"\"\"\n",
+ " # contraction followed by QR decomposition\n",
+ " a, _, b = contract_decompose('ipj,jqk->iqj,jpk', *mps_tensors[i:i+2], algorithm=algorithm, options=options)\n",
+ " mps_tensors[i:i+2] = (a, b)\n",
+ " return mps_tensors\n",
+ "\n",
+ "def apply_gate(\n",
+ " mps_tensors, \n",
+ " gate, \n",
+ " qubits, \n",
+ " algorithm=None, \n",
+ " options=None\n",
+ "):\n",
+ " \"\"\"\n",
+ " Apply the gate operand to the MPS tensors in-place.\n",
+ " \n",
+ " Args:\n",
+ " mps_tensors: A list of rank-3 ndarray-like tensor objects. \n",
+ " The indices of the ith tensor are expected to be the bonding index to the i-1 tensor, \n",
+ " the physical mode, and then the bonding index to the i+1th tensor.\n",
+ " gate: A ndarray-like tensor object representing the gate operand. \n",
+ " The modes of the gate is expected to be output qubits followed by input qubits, e.g, \n",
+ " ``A, B, a, b`` where ``a, b`` denotes the inputs and ``A, B`` denotes the outputs. \n",
+ " qubits: A sequence of integers denoting the qubits that the gate is applied onto.\n",
+ " algorithm: The contract and decompose algorithm to use for gate application. \n",
+ " Can be either a `dict` or a `ContractDecomposeAlgorithm`.\n",
+ " options: Specify the contract and decompose options. \n",
+ " \n",
+ " Returns:\n",
+ " The updated MPS tensors.\n",
+ " \"\"\"\n",
+ " \n",
+ " n_qubits = len(qubits)\n",
+ " if n_qubits == 1:\n",
+ " # single-qubit gate\n",
+ " i = qubits[0]\n",
+ " mps_tensors[i] = contract('ipj,qp->iqj', mps_tensors[i], gate, options=options) # in-place update\n",
+ " elif n_qubits == 2:\n",
+ " # two-qubit gate\n",
+ " i, j = qubits\n",
+ " if i > j:\n",
+ " # swap qubits order\n",
+ " return apply_gate(mps_tensors, gate.transpose(1,0,3,2), (j, i), algorithm=algorithm, options=options)\n",
+ " elif i+1 == j:\n",
+ " # two adjacent qubits\n",
+ " a, _, b = contract_decompose('ipj,jqk,rspq->irj,jsk', *mps_tensors[i:i+2], gate, algorithm=algorithm, options=options)\n",
+ " mps_tensors[i:i+2] = (a, b) # in-place update\n",
+ " else:\n",
+ " # non-adjacent two-qubit gate\n",
+ " # step 1: swap i with i+1\n",
+ " mps_site_right_swap(mps_tensors, i, algorithm=algorithm, options=options)\n",
+ " # step 2: apply gate to (i+1, j) pair. This amounts to a recursive swap until the two qubits are adjacent\n",
+ " apply_gate(mps_tensors, gate, (i+1, j), algorithm=algorithm, options=options) \n",
+ " # step 3: swap back i and i+1\n",
+ " mps_site_right_swap(mps_tensors, i, algorithm=algorithm, options=options)\n",
+ " else:\n",
+ " raise NotImplementedError(\"Only one- and two-qubit gates supported\")\n",
+ " return mps_tensors\n",
+ "\n",
+ "\n",
+ "# We leverage ``cuquantum.CircuitToEinsum`` to obtain the gate operands.\n",
+ "myconverter = CircuitToEinsum(circuit, dtype=dtype, backend=cp)\n",
+ "gates = myconverter.gates\n",
+ "gate_map = dict(zip(myconverter.qubits, range(num_qubits)))\n",
+ "\n",
+ "# We construct an exact MPS with algorithm below. \n",
+ "# For two-qubit gates, an SVD is performed with singular values partitioned onto the two MPS sites equally.\n",
+ "# We also set a cutoff value of 1e-12 to filter out computational noise.\n",
+ "exact_gate_algorithm = {'qr_method': False, \n",
+ " 'svd_method':{'partition': 'UV', 'abs_cutoff':1e-12}}\n",
+ "\n",
+ "# Constructing the final MPS\n",
+ "for (gate, qubits) in gates:\n",
+ " # mapping from qubits to qubit indices\n",
+ " qubits = [gate_map[q] for q in qubits]\n",
+ " # apply the gate in-place\n",
+ " apply_gate(mps_tensors, gate, qubits, algorithm=exact_gate_algorithm, options=options)\n",
+ "\n",
+ "print(\"Final MPS is constructed with the following shapes\")\n",
+ "for i, o in enumerate(mps_tensors):\n",
+ " print(f\"site {i}, shape: {o.shape}\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ab9f7e18-867c-4901-989d-2532fcee6ff1",
+ "metadata": {},
+ "source": [
+ "## II(c). Correctness Verification\n",
+ "\n",
+ "We can now verify the correctness of the final MPS with the following tests:\n",
+ "- Determining whether the MPS is normalized to 1.0.\n",
+ "- Establishing that the state represented by the MPS is equivalent to the state vector.\n",
+ "\n",
+ "Note that the first test holds in this example as we're constructing the exact MPS representation. In the case of approximate MPS, manual normalization is needed.\n",
+ "\n",
+ "To make our verification easier, we provide an `MPSContractionHelper` class to help compute various target quantities for MPS for reference.\n",
+ "These quantities are all computed by exact contraction of the corresponding MPS tensor network. \n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "20b7a830-5fa2-4994-a1c1-d2885989157e",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "The norm of the MPS: 1.000e+00\n",
+ "State vector difference: 1.166e-15\n"
+ ]
+ }
+ ],
+ "source": [
+ "class MPSContractionHelper:\n",
+ " \"\"\"\n",
+ " A helper class to compute various quantities for a given MPS.\n",
+ " \n",
+ " Interleaved format is used to construct the input args for `cuquantum.contract`. \n",
+ " A concrete example on how the modes are populated for a 7-site MPS is provided below:\n",
+ " \n",
+ " 0 2 4 6 8 10 12 14 \n",
+ " bra -----A-----B-----C-----D-----E-----F-----G-----\n",
+ " | | | | | | | \n",
+ " 1| 3| 5| 7| 9| 11| 13| \n",
+ " | | | | | | | \n",
+ " ket -----a-----b-----c-----d-----e-----f-----g-----\n",
+ " 15 16 17 18 19 20 21 22\n",
+ " \n",
+ " \n",
+ " The follwing compute quantities are supported:\n",
+ " \n",
+ " - the norm of the MPS.\n",
+ " - the equivalent state vector from the MPS.\n",
+ " - the expectation value for a given operator.\n",
+ " - the equivalent state vector after multiplying an MPO to an MPS.\n",
+ " \n",
+ " Note that for the nth MPS tensor (rank-3), the modes of the tensor are expected to be `(i,p,j)` \n",
+ " where i denotes the bonding mode with the (n-1)th tensor, p denotes the physical mode for the qubit and \n",
+ " j denotes the bonding mode with the (n+1)th tensor.\n",
+ " \n",
+ " Args:\n",
+ " num_qubits: The number of qubits for the MPS.\n",
+ " \"\"\"\n",
+ " \n",
+ " def __init__(self, num_qubits):\n",
+ " self.num_qubits = num_qubits\n",
+ " self.path_cache = dict()\n",
+ " self.bra_modes = [(2*i, 2*i+1, 2*i+2) for i in range(num_qubits)]\n",
+ " offset = 2*num_qubits+1\n",
+ " self.ket_modes = [(i+offset, 2*i+1, i+1+offset) for i in range(num_qubits)]\n",
+ " \n",
+ " def contract_norm(self, mps_tensors, options=None):\n",
+ " \"\"\"\n",
+ " Contract the corresponding tensor network to form the norm of the MPS.\n",
+ "\n",
+ " Args:\n",
+ " mps_tensors: A list of rank-3 ndarray-like tensor objects. \n",
+ " The indices of the ith tensor are expected to be bonding index to the i-1 tensor, \n",
+ " the physical mode, and then the bonding index to the i+1th tensor.\n",
+ " options: Specify the contract and decompose options. \n",
+ "\n",
+ " Returns:\n",
+ " The norm of the MPS.\n",
+ " \"\"\"\n",
+ " interleaved_inputs = []\n",
+ " for i, o in enumerate(mps_tensors):\n",
+ " interleaved_inputs.extend([o, self.bra_modes[i], o.conj(), self.ket_modes[i]])\n",
+ " interleaved_inputs.append([]) # output\n",
+ " return self._contract('norm', interleaved_inputs, options=options).real\n",
+ "\n",
+ " def contract_state_vector(self, mps_tensors, options=None):\n",
+ " \"\"\"\n",
+ " Contract the corresponding tensor network to form the state vector representation of the MPS.\n",
+ "\n",
+ " Args:\n",
+ " mps_tensors: A list of rank-3 ndarray-like tensor objects. \n",
+ " The indices of the ith tensor are expected to be bonding index to the i-1 tensor, \n",
+ " the physical mode, and then the bonding index to the i+1th tensor.\n",
+ " options: Specify the contract and decompose options. \n",
+ "\n",
+ " Returns:\n",
+ " An ndarray-like object as the state vector.\n",
+ " \"\"\"\n",
+ " interleaved_inputs = []\n",
+ " for i, o in enumerate(mps_tensors):\n",
+ " interleaved_inputs.extend([o, self.bra_modes[i]])\n",
+ " output_modes = tuple([bra_modes[1] for bra_modes in self.bra_modes])\n",
+ " interleaved_inputs.append(output_modes) # output\n",
+ " return self._contract('sv', interleaved_inputs, options=options)\n",
+ " \n",
+ " def contract_expectation(self, mps_tensors, operator, qubits, options=None, normalize=False):\n",
+ " \"\"\"\n",
+ " Contract the corresponding tensor network to form the state vector representation of the MPS.\n",
+ "\n",
+ " Args:\n",
+ " mps_tensors: A list of rank-3 ndarray-like tensor objects. \n",
+ " The indices of the ith tensor are expected to be bonding index to the i-1 tensor, \n",
+ " the physical mode, and then the bonding index to the i+1th tensor.\n",
+ " operator: A ndarray-like tensor object. \n",
+ " The modes of the operator are expected to be output qubits followed by input qubits, e.g, \n",
+ " ``A, B, a, b`` where `a, b` denotes the inputs and `A, B'` denotes the outputs. \n",
+ " qubits: A sequence of integers specifying the qubits that the operator is acting on. \n",
+ " options: Specify the contract and decompose options. \n",
+ " normalize: Whether to scale the expectation value by the normalization factor.\n",
+ "\n",
+ " Returns:\n",
+ " An ndarray-like object as the state vector.\n",
+ " \"\"\"\n",
+ " \n",
+ " interleaved_inputs = []\n",
+ " extra_mode = 3 * self.num_qubits + 2\n",
+ " operator_modes = [None] * len(qubits) + [self.bra_modes[q][1] for q in qubits]\n",
+ " qubits = list(qubits)\n",
+ " for i, o in enumerate(mps_tensors):\n",
+ " interleaved_inputs.extend([o, self.bra_modes[i]])\n",
+ " k_modes = self.ket_modes[i]\n",
+ " if i in qubits:\n",
+ " k_modes = (k_modes[0], extra_mode, k_modes[2])\n",
+ " q = qubits.index(i)\n",
+ " operator_modes[q] = extra_mode # output modes\n",
+ " extra_mode += 1\n",
+ " interleaved_inputs.extend([o.conj(), k_modes])\n",
+ " interleaved_inputs.extend([operator, tuple(operator_modes)])\n",
+ " interleaved_inputs.append([]) # output\n",
+ " if normalize:\n",
+ " norm = self.contract_norm(mps_tensors, options=options)\n",
+ " else:\n",
+ " norm = 1\n",
+ " return self._contract(f'exp{qubits}', interleaved_inputs, options=options) / norm\n",
+ " \n",
+ " def contract_mps_mpo_to_state_vector(self, mps_tensors, mpo_tensors, options=None):\n",
+ " \"\"\"\n",
+ " Contract the corresponding tensor network to form the output state vector from applying the MPO to the MPS.\n",
+ "\n",
+ " Args:\n",
+ " mps_tensors: A list of rank-3 ndarray-like tensor objects. \n",
+ " The indices of the ith tensor are expected to be the bonding index to the i-1 tensor, \n",
+ " the physical mode, and then the bonding index to the i+1th tensor.\n",
+ " mpo_tensors: A list of rank-4 ndarray-like tensor objects.\n",
+ " The indics of the ith tensor are expected to be the bonding index to the i-1 tensor, \n",
+ " the output physical mode, the bonding index to the i+1th tensor and then the inputput physical mode.\n",
+ " options: Specify the contract and decompose options. \n",
+ "\n",
+ " Returns:\n",
+ " An ndarray-like object as the output state vector.\n",
+ " \"\"\"\n",
+ " interleaved_inputs = []\n",
+ " for i, o in enumerate(mps_tensors):\n",
+ " interleaved_inputs.extend([o, self.bra_modes[i]])\n",
+ " output_modes = []\n",
+ " offset = 2 * self.num_qubits + 1\n",
+ " for i, o in enumerate(mpo_tensors):\n",
+ " mpo_modes = (2*i+offset, 2*i+offset+1, 2*i+offset+2, 2*i+1)\n",
+ " output_modes.append(2*i+offset+1)\n",
+ " interleaved_inputs.extend([o, mpo_modes])\n",
+ " interleaved_inputs.append(output_modes)\n",
+ " return self._contract('mps_mpo', interleaved_inputs, options=options)\n",
+ " \n",
+ " def _contract(self, key, interleaved_inputs, options=None):\n",
+ " \"\"\"\n",
+ " Perform the contraction task given interleaved inputs. Path will be cached.\n",
+ " \"\"\"\n",
+ " if key not in self.path_cache:\n",
+ " self.path_cache[key] = contract_path(*interleaved_inputs, options=options)[0]\n",
+ " path = self.path_cache[key]\n",
+ " return contract(*interleaved_inputs, options=options, optimize={'path':path})\n",
+ "\n",
+ "mps_helper = MPSContractionHelper(num_qubits)\n",
+ "\n",
+ "# compute the norm of the MPS.\n",
+ "norm = mps_helper.contract_norm(mps_tensors, options=options)\n",
+ "print(f\"The norm of the MPS: {norm:0.3e}\")\n",
+ "\n",
+ "# comparision with state vector\n",
+ "# state vector constructed from the MPS\n",
+ "sv_mps = mps_helper.contract_state_vector(mps_tensors, options=options)\n",
+ "# reference from CircuitToEinsum\n",
+ "subscripts, operands = myconverter.state_vector()\n",
+ "sv_reference = contract(subscripts, *operands, options=options)\n",
+ "\n",
+ "print(f\"State vector difference: {abs(sv_mps-sv_reference).max():0.3e}\")\n",
+ "assert cp.allclose(sv_mps, sv_reference)"
+ ]
+ },
+ {
+ "attachments": {
+ "7e01bb13-ac87-455e-aee2-6c8ff290991a.png": {
+ "image/png": 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"
+ }
+ },
+ "cell_type": "markdown",
+ "id": "f1190ea6-6028-4152-9ce1-1349bd0d6573",
+ "metadata": {},
+ "source": [
+ "# III. MPS Canonicalization\n",
+ "\n",
+ "One nice property of MPS is that its canonical form allows for easy computation of expectation values or reduced density matrices. \n",
+ "\n",
+ "For instance, if one were to compute the expectation value of a two-qubit operator, two approaches shown below can be adopted:\n",
+ "- Contraction of the original $\\langle\\Psi|\\hat{O}|\\Psi\\rangle$ tensor network where $|\\Psi\\rangle$ is now an MPS.\n",
+ "- Contraction of a sub-network after proper canonicalization.\n",
+ "\n",
+ "The example below is based on a two-body operator acting on the 3rd and 4th qubits\n",
+ "\n",
+ "## III(a). Expectation Value from Full MPS computation.\n",
+ "\n",
+ "Here we first contract the full MPS graph shown below to compute the expectation value.\n",
+ "\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "e83e7a93-6ab7-473b-9a6f-f1d88ade6efb",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Expectation value at qubits (2, 3)\n",
+ ": (0.4953677828368589+0.39635222637212664j)\n",
+ ": (0.495367782836861+0.3963522263721279j)\n",
+ " equal to ? : True\n"
+ ]
+ }
+ ],
+ "source": [
+ "target_qubits = (2, 3)\n",
+ "# create a random two-body operator\n",
+ "operator = cp.random.random([2,2,2,2]) + 1.j * cp.random.random([2,2,2,2])\n",
+ "\n",
+ "# reference from contraction of the full network\n",
+ "# since the MPS is already normalized under exact representation, we don't need to normalize it here.\n",
+ "expec_mps_reference = mps_helper.contract_expectation(mps_tensors, operator, target_qubits, options=options, normalize=False)\n",
+ "\n",
+ "# reference from state vector\n",
+ "expec_sv_reference = contract('ijklmnop,ijKLmnop,KLkl->', sv_reference, sv_reference.conj(), operator, options=options)\n",
+ "\n",
+ "print(f\"Expectation value at qubits {target_qubits}\")\n",
+ "print(f\": {expec_mps_reference}\")\n",
+ "print(f\": {expec_sv_reference}\")\n",
+ "\n",
+ "is_expec_equal = cp.allclose(expec_mps_reference, expec_sv_reference)\n",
+ "print(f\" equal to ? : {is_expec_equal}\")\n",
+ "assert is_expec_equal"
+ ]
+ },
+ {
+ "attachments": {
+ "0494d201-bf0f-45e7-ba99-6f93ab362cab.png": {
+ "image/png": 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"
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"
+ }
+ },
+ "cell_type": "markdown",
+ "id": "28dfc59b-5382-4372-a130-f4b5b8e648ec",
+ "metadata": {},
+ "source": [
+ "## III(b). Expectation Value from Canonical MPS\n",
+ "\n",
+ "In this section we aim to compute the same expectation value using canonicalization techniques for MPS. \n",
+ "Canonicalization of MPS can be visualized as illustrated in the diagrams shown below. \n",
+ "We can start from either one side of the MPS to perform a sequence of QR decompositions and contractions such that all MPS tensors on one site become unitary (denoted as gray squares in the figure). \n",
+ "We can perform the sweep from both sides in order to shift the canonicalization center to be around the central qubit sites, where the operator is acting on.\n",
+ "\n",
+ "\n",
+ "\n",
+ "Once the MPS is canonicalized around the target qubits, the expectation value problem can be reduced to a contraction task on a sub-graph. \n",
+ "The process can be illustrated by the figure below where the reduction of the graph comes from the fact that contraction of the unitary MPS tensors (denoted by gray squares) with their Hermitian conjugates yields identity matrices.\n",
+ "\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "c22d6597-899c-4af5-9c7f-988df95df9c8",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " with reduced graph: (0.49536778283685906+0.3963522263721267j)\n",
+ "reduced equal to ?: True\n",
+ "original with reduced graph: (1.1231422600031686+0.8532610561182179j)\n",
+ "Equal to reference?: False (False expected)\n"
+ ]
+ }
+ ],
+ "source": [
+ "def canonicalize_mps_tensors(a, b, absorb='right', options=None):\n",
+ " \"\"\"\n",
+ " Perform canonicalization of two MPS tensors.\n",
+ " \"\"\"\n",
+ " if absorb == 'right':\n",
+ " a, r = tensor.decompose('ipj->ipx,xj', a, options=options) # QR on a\n",
+ " b = contract('xj,jpk->xpk', r, b, options=options) # combine b with r\n",
+ " elif absorb == 'left':\n",
+ " b, r = tensor.decompose('jpk->xpk,jx', b, options=options) # QR on b\n",
+ " a = contract('jx,ipj->ipx', r, a, options=options) # combine a with r \n",
+ " else:\n",
+ " raise ValueError(f\"absorb must be either left or right\")\n",
+ " return a, b\n",
+ "\n",
+ "def right_canonicalize_mps(mps_tensors, start, end, options=None):\n",
+ " \"\"\"\n",
+ " Perform a in-place canonicalization sweep of MPS from left to right.\n",
+ " \n",
+ " Args:\n",
+ " mps_tensors: A list of rank-3 ndarray-like tensor objects. \n",
+ " The indices of the ith tensor is expected to be the bonding index to the i-1 tensor, \n",
+ " the physical mode and then the bonding index to the i+1th tensor.\n",
+ " start: The first site for right canonicalization.\n",
+ " end: The last site for right canonicalization.\n",
+ " options: Specify the contract and decompose options. \n",
+ " \"\"\"\n",
+ " \n",
+ " assert end > start\n",
+ " num_sites = len(mps_tensors)\n",
+ " for i in range(start, end):\n",
+ " mps_tensors[i:i+2] = canonicalize_mps_tensors(*mps_tensors[i:i+2], absorb='right', options=options)\n",
+ " return mps_tensors\n",
+ "\n",
+ "def left_canonicalize_mps(mps_tensors, start, end, options=None):\n",
+ " \"\"\"\n",
+ " Perform a in-place canonicalization sweep of MPS from right to left.\n",
+ " \n",
+ " Args:\n",
+ " mps_tensors: A list of rank-3 ndarray-like tensor objects. \n",
+ " The indices of the ith tensor is expected to be the bonding index to the i-1 tensor, \n",
+ " the physical mode and then the bonding index to the i+1th tensor.\n",
+ " start: The first site for left canonicalization.\n",
+ " end: The last site for left canonicalization.\n",
+ " options: Specify the contract and decompose options. \n",
+ " \"\"\"\n",
+ " assert start > end\n",
+ " for i in range(start, end, -1):\n",
+ " mps_tensors[i-1:i+1] = canonicalize_mps_tensors(*mps_tensors[i-1:i+1], absorb='left', options=options)\n",
+ " return mps_tensors\n",
+ "\n",
+ "# create a copy to avoid in-place modification\n",
+ "canonical_mps = mps_tensors.copy()\n",
+ "\n",
+ "# right sweep of MPS canonicalization from the beginning to the 3rd site \n",
+ "right_canonicalize_mps(canonical_mps, 0, target_qubits[0], options=options)\n",
+ "# left sweep of MPS canonicalization from the end to the 4th site \n",
+ "left_canonicalize_mps(canonical_mps, num_qubits-1, target_qubits[1], options=options)\n",
+ "\n",
+ "\n",
+ "# compute the expectation value using the reduced graph\n",
+ "expec_mps_canonical = contract('ipj,jql,irk,ksl,rspq->', canonical_mps[target_qubits[0]], canonical_mps[target_qubits[1]], canonical_mps[target_qubits[0]].conj(), canonical_mps[target_qubits[1]].conj(), operator, options=options)\n",
+ "print(f\" with reduced graph: {expec_mps_canonical}\")\n",
+ "is_canonical_expec_equal = cp.allclose(expec_mps_canonical, expec_mps_reference)\n",
+ "print(f\"reduced equal to ?: {is_canonical_expec_equal}\")\n",
+ "assert is_canonical_expec_equal\n",
+ "\n",
+ "# For validation, we can also try to compute the expectation value (False) from the reduced graph with the original MPS\n",
+ "expec_mps_reduced = contract('ipj,jql,irk,ksl,rspq->', mps_tensors[target_qubits[0]], mps_tensors[target_qubits[1]], mps_tensors[target_qubits[0]].conj(), mps_tensors[target_qubits[1]].conj(), operator, options=options)\n",
+ "print(f\"original with reduced graph: {expec_mps_reduced}\")\n",
+ "\n",
+ "is_reduced_expec_equal = cp.allclose(expec_mps_canonical, expec_mps_reduced)\n",
+ "print(f\"Equal to reference?: {is_reduced_expec_equal} (False expected)\")\n",
+ "assert not is_reduced_expec_equal"
+ ]
+ },
+ {
+ "attachments": {
+ "a1e48907-1e5f-498a-bac9-d2f3f238c08c.png": {
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"
+ }
+ },
+ "cell_type": "markdown",
+ "id": "433509d6-c454-4921-ade4-d2a558ed60fc",
+ "metadata": {},
+ "source": [
+ "# IV. MPS MPO Multiplication\n",
+ "\n",
+ "In this section we'll describe how to perform MPS and MPO multiplications with `cuquantum-python`. \n",
+ "The problem can be visualized using the diagram below:\n",
+ "\n",
+ "\n",
+ "\n",
+ "The following topics will be covered:\n",
+ "\n",
+ "- Initializing a random MPO.\n",
+ "- Contracting MPS and MPO exactly using a simple algorithm and verifying its correctness.\n",
+ "- Evaluating the accuracy of approximate MPS MPO multiplication.\n",
+ "\n",
+ "## IV(a). Generate a Random MPO\n",
+ "\n",
+ "Here we first create a random MPO for subsequent operations."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "2d0ea0c5-3ace-4420-93ed-ed55b8e88f09",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def get_random_mpo(num_qubits, D=4):\n",
+ " \"\"\"\n",
+ " Generate a random MPO with specified bond dimension. \n",
+ " \n",
+ " Note the indices of ith MPO tensor are `(a, P, b, p)` where a, b denote the bonding indices to the \n",
+ " (i-1)th and (i+1)th tensor while P and p denote the output and input physical modes, respectively.\n",
+ " \"\"\"\n",
+ " mpo_tensors = []\n",
+ " for i in range(num_qubits):\n",
+ " left_bond = 1 if i==0 else D\n",
+ " right_bond = 1 if i==num_qubits-1 else D\n",
+ " shape = (left_bond, 2, right_bond, 2)\n",
+ " o = cp.random.random(shape) + 1.j * cp.random.random(shape)\n",
+ " # normalize\n",
+ " o /= contract('aPbp,aPbp->', o, o.conj()) ** .5\n",
+ " mpo_tensors.append(o)\n",
+ " return mpo_tensors\n",
+ "\n",
+ "mpo_tensors = get_random_mpo(num_qubits, D=4)"
+ ]
+ },
+ {
+ "attachments": {
+ "61565b4c-c320-42e0-bb0f-8248ce692c5e.png": {
+ "image/png": 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"
+ }
+ },
+ "cell_type": "markdown",
+ "id": "0f80c8e5-dfa5-422c-83c9-7d7ee11bd332",
+ "metadata": {},
+ "source": [
+ "## IV(b). Exact MPS MPO Multiplication\n",
+ "\n",
+ "There are various algorithms to perform MPS MPO multiplication. In the diagram below we present one simple algorithm based on direct contraction and SVD. \n",
+ "\n",
+ "\n",
+ "\n",
+ "Note that during SVD, we can partition the singular values to the right tensor such that the resulting MPS we obtain is in the right orthogonal gauge.\n",
+ "\n",
+ "We perform the following checks to verify the correctness of our algorithm:\n",
+ "- Comparing the states presented by the output MPS against direct contraction.\n",
+ "- Computing the expectation value of a one-body operator acting on the last qubit using a reduced graph. \n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "id": "d00ae1d5-c204-45a3-ae62-0d62bf615967",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "After MPS-MPO multiplication\n",
+ "site 0, shape: (1, 2, 2)\n",
+ "site 1, shape: (2, 2, 4)\n",
+ "site 2, shape: (4, 2, 8)\n",
+ "site 3, shape: (8, 2, 16)\n",
+ "site 4, shape: (16, 2, 32)\n",
+ "site 5, shape: (32, 2, 16)\n",
+ "site 6, shape: (16, 2, 2)\n",
+ "site 7, shape: (2, 2, 1)\n",
+ "Max absolute difference compared with reference state vector: 2.040e-17\n",
+ "Is the canonicalization center moved to the last site?: True\n"
+ ]
+ }
+ ],
+ "source": [
+ "def multiply_mps_mpo(mps_tensors, mpo_tensors, algorithm, options=None):\n",
+ " \"\"\"\n",
+ " Perform MPS MPO multiplication using the algorithm shown above.\n",
+ " \"\"\"\n",
+ " num_qubits = len(mps_tensors)\n",
+ " t = contract('ipj,kmlp->ijlm', mps_tensors[0], mpo_tensors[0], options=options)\n",
+ " output_mps = []\n",
+ " for i in range(1, num_qubits):\n",
+ " mps, _, t = contract_decompose('ijlm,jqr,lnsq->imx,xrsn', t, mps_tensors[i], mpo_tensors[i], algorithm=algorithm, options=options)\n",
+ " output_mps.append(mps)\n",
+ " t = t.reshape(-1,2,1)\n",
+ " output_mps.append(t)\n",
+ " return output_mps\n",
+ "\n",
+ "mult_algorithm = {'qr_method': False,\n",
+ " 'svd_method': {'partition': 'V', 'rel_cutoff':1e-10}}\n",
+ "new_mps = multiply_mps_mpo(mps_tensors, mpo_tensors, mult_algorithm, options=options)\n",
+ "\n",
+ "print(\"After MPS-MPO multiplication\")\n",
+ "for i, o in enumerate(new_mps):\n",
+ " print(f\"site {i}, shape: {o.shape}\")\n",
+ "\n",
+ "# compute the state vector after MPS-MPO multiplication\n",
+ "mps_mpo_sv = mps_helper.contract_state_vector(new_mps, options=options)\n",
+ "# reference state vector from full network contraction\n",
+ "mps_mpo_ref = mps_helper.contract_mps_mpo_to_state_vector(mps_tensors, mpo_tensors, options=options)\n",
+ "print(f\"Max absolute difference compared with reference state vector: {abs(mps_mpo_sv-mps_mpo_ref).max():0.3e}\")\n",
+ "assert cp.allclose(mps_mpo_sv, mps_mpo_ref)\n",
+ "\n",
+ "# compute the expectation value of an operator on the last qubit\n",
+ "one_body_operator = cp.random.random([2,2]) + 1j* cp.random.random([2,2])\n",
+ "# reference from contracting the full network\n",
+ "expec_one_body_ref = mps_helper.contract_expectation(new_mps, one_body_operator, (num_qubits-1, ), options=options)\n",
+ "# expectation value from the reduced graph on the last qubit\n",
+ "expec_one_body = contract('ipj,iPj,Pp->', new_mps[-1], new_mps[-1].conj(), one_body_operator, options=options)\n",
+ "\n",
+ "is_right_canonical = cp.allclose(expec_one_body, expec_one_body_ref)\n",
+ "print(f\"Is the canonicalization center moved to the last site?: {is_right_canonical}\")\n",
+ "assert is_right_canonical"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "4194c27f-87c2-4671-881c-7ef351c0ecf8",
+ "metadata": {},
+ "source": [
+ "## IV(c). Accuracy of Approximate MPS MPO contraction\n",
+ "\n",
+ "In this subsection we present some experiments on MPS-MPO mulitiplication with approximation. \n",
+ "Specifically, we will do a sweep of MPS-MPO multiplication with different constraints on the maximal number of singular values to keep for all connecting bonds.\n",
+ "We examine the accuracy of approximation with the following two criteria:\n",
+ "- The difference in normalized state vector.\n",
+ "- The difference in expectation value of a random operator after normalization."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "id": "99c9204c-a629-4309-b333-691e8a181088",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "max extent=1, state vector error=4.191e-02, relative error for expectation value=1.770e-02\n",
+ "max extent=2, state vector error=1.544e-02, relative error for expectation value=2.131e-03\n",
+ "max extent=4, state vector error=2.894e-03, relative error for expectation value=2.804e-05\n",
+ "max extent=8, state vector error=2.643e-04, relative error for expectation value=5.410e-07\n",
+ "max extent=12, state vector error=6.573e-05, relative error for expectation value=3.087e-08\n",
+ "max extent=16, state vector error=3.419e-06, relative error for expectation value=8.492e-11\n"
+ ]
+ }
+ ],
+ "source": [
+ "# For a fair comparison between state vectors, in this vector we normalize all state vector\n",
+ "mps_mpo_ref /= cp.linalg.norm(mps_mpo_ref)\n",
+ "\n",
+ "# We also rescale the expectation values by normalization factor\n",
+ "expec_one_body_ref = mps_helper.contract_expectation(new_mps, one_body_operator, (num_qubits-1, ), options=options, normalize=True)\n",
+ "\n",
+ "for max_extent in (1, 2, 4, 8, 12, 16):\n",
+ " naive_algorithm = {'qr_method': False, \n",
+ " 'svd_method': {'partition': 'V', 'rel_cutoff':1e-10, 'max_extent': max_extent}}\n",
+ " new_mps = multiply_mps_mpo(mps_tensors, mpo_tensors, naive_algorithm, options=options)\n",
+ " # compute the normalized state vector\n",
+ " mps_mpo_sv = mps_helper.contract_state_vector(new_mps, options=options)\n",
+ " mps_mpo_sv /= cp.linalg.norm(mps_mpo_sv)\n",
+ " err_sv = abs(mps_mpo_sv-mps_mpo_ref).max()\n",
+ " \n",
+ " # compute the expectation value with normalization\n",
+ " expec_one_body = contract('ipj,iPj,Pp->', new_mps[-1], new_mps[-1].conj(), one_body_operator, options=options) \n",
+ " expec_one_body /= cp.linalg.norm(new_mps[-1]) ** 2\n",
+ " err_expec = abs(expec_one_body_ref-expec_one_body)/abs(expec_one_body)\n",
+ " \n",
+ " print(f\"max extent={max_extent}, state vector error={err_sv:0.3e}, relative error for expectation value={err_expec:0.3e}\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "id": "ab89e997-b286-4c31-a7e1-562644767c86",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Remember that we need to free the library handle in the end\n",
+ "cutn.destroy(handle)"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.9.15"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/python/setup.py b/python/setup.py
index 2592164..7758c34 100644
--- a/python/setup.py
+++ b/python/setup.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
@@ -32,8 +32,8 @@
'numpy',
# 'cupy', # TODO: use "cupy-wheel" once it's stablized, see https://github.com/cupy/cupy/issues/6688
# 'torch', # <-- PyTorch is optional; also, the PyPI version does not support GPU...
- f'custatevec-cu{utils.cuda_major_ver}~=1.1', # ">=1.1.0,<2"
- f'cutensornet-cu{utils.cuda_major_ver}~=2.0', # ">=2.0.0,<3"
+ f'custatevec-cu{utils.cuda_major_ver}~=1.3', # ">=1.3.0,<2"
+ f'cutensornet-cu{utils.cuda_major_ver}~=2.1', # ">=2.1.0,<3"
]
@@ -60,20 +60,11 @@
'bdist_wheel': utils.bdist_wheel,
}
+cuda_classifier = []
if utils.cuda_major_ver == '11':
- cuda_classifier = [
- "Environment :: GPU :: NVIDIA CUDA :: 11.0",
- "Environment :: GPU :: NVIDIA CUDA :: 11.1",
- "Environment :: GPU :: NVIDIA CUDA :: 11.2",
- "Environment :: GPU :: NVIDIA CUDA :: 11.3",
- "Environment :: GPU :: NVIDIA CUDA :: 11.4",
- "Environment :: GPU :: NVIDIA CUDA :: 11.5",
- "Environment :: GPU :: NVIDIA CUDA :: 11.6",
- "Environment :: GPU :: NVIDIA CUDA :: 11.7",
- "Environment :: GPU :: NVIDIA CUDA :: 11.8",
- ]
-else:
- cuda_classifier = None
+ cuda_classifier.append("Environment :: GPU :: NVIDIA CUDA :: 11")
+elif utils.cuda_major_ver == '12':
+ cuda_classifier.append("Environment :: GPU :: NVIDIA CUDA :: 12")
# TODO: move static metadata to pyproject.toml
setup(
@@ -82,7 +73,13 @@
description="NVIDIA cuQuantum Python",
long_description=long_description,
long_description_content_type="text/markdown",
- url="https://github.com/NVIDIA/cuQuantum",
+ url="https://developer.nvidia.com/cuquantum-sdk",
+ project_urls={
+ "Bug Tracker": "https://github.com/NVIDIA/cuQuantum/issues",
+ "User Forum": "https://github.com/NVIDIA/cuQuantum/discussions",
+ "Documentation": "https://docs.nvidia.com/cuda/cuquantum/python/",
+ "Source Code": "https://github.com/NVIDIA/cuQuantum",
+ },
author="NVIDIA Corporation",
author_email="cuquantum-python@nvidia.com",
license="BSD-3-Clause",
@@ -97,6 +94,7 @@
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
+ "Programming Language :: Python :: 3.11",
"Programming Language :: Python :: Implementation :: CPython",
"Environment :: GPU :: NVIDIA CUDA",
] + cuda_classifier,
diff --git a/python/tests/conftest.py b/python/tests/conftest.py
index 9bddfdf..4c03835 100644
--- a/python/tests/conftest.py
+++ b/python/tests/conftest.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/tests/cuquantum_tests/__init__.py b/python/tests/cuquantum_tests/__init__.py
index e589952..3197836 100644
--- a/python/tests/cuquantum_tests/__init__.py
+++ b/python/tests/cuquantum_tests/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/tests/cuquantum_tests/custatevec_tests/__init__.py b/python/tests/cuquantum_tests/custatevec_tests/__init__.py
index c08f9b5..f9634d8 100644
--- a/python/tests/cuquantum_tests/custatevec_tests/__init__.py
+++ b/python/tests/cuquantum_tests/custatevec_tests/__init__.py
@@ -1,3 +1,3 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/tests/cuquantum_tests/custatevec_tests/test_custatevec.py b/python/tests/cuquantum_tests/custatevec_tests/test_custatevec.py
index abd6b87..0627318 100644
--- a/python/tests/cuquantum_tests/custatevec_tests/test_custatevec.py
+++ b/python/tests/cuquantum_tests/custatevec_tests/test_custatevec.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
@@ -7,6 +7,10 @@
import cupy
from cupy import testing
import numpy
+try:
+ from mpi4py import MPI # init!
+except ImportError:
+ MPI = None
import pytest
import cuquantum
@@ -1129,11 +1133,9 @@ class TestMultiGPUSwap(TestMultiGpuSV):
@pytest.mark.parametrize(
'input_form', (
{'handles': (numpy.intp, 'int'), 'sub_svs': (numpy.intp, 'int'),
- 'swapped_bits': (numpy.int32, 'int'),
- 'mask_bitstring': (numpy.int32, 'int'), 'mask_ordering': (numpy.int32, 'int')},
+ 'swapped_bits': (numpy.int32, 'int'), 'mask': (numpy.int32, 'int')},
{'handles': (numpy.intp, 'seq'), 'sub_svs': (numpy.intp, 'seq'),
- 'swapped_bits': (numpy.int32, 'seq'),
- 'mask_bitstring': (numpy.int32, 'seq'), 'mask_ordering': (numpy.int32, 'seq')},
+ 'swapped_bits': (numpy.int32, 'seq'), 'mask': (numpy.int32, 'seq')},
)
)
@pytest.mark.parametrize(
@@ -1176,9 +1178,16 @@ def test_multi_device_swap_index_bits(
swapped_bits = swapped_bits_data.ctypes.data
# TODO: test mask
- mask_bitstring = 0
- mask_ordering = 0
+ mask_bitstring = []
+ mask_ordering = []
mask_len = 0
+ if input_form['mask'][1] == 'int':
+ mask_bitstring_data = numpy.asarray(
+ mask_bitstring, dtype=input_form['mask'][0])
+ mask_bitstring = mask_bitstring_data.ctypes.data
+ mask_ordering_data = numpy.asarray(
+ mask_ordering, dtype=input_form['mask'][0])
+ mask_ordering = mask_ordering_data.ctypes.data
cusv.multi_device_swap_index_bits(
handles, n_handles, sub_sv, data_type,
@@ -1195,6 +1204,249 @@ def test_multi_device_swap_index_bits(
assert sub_sv[1][4] == 1
+@pytest.mark.skipif(MPI is None, reason="need mpi4py (& MPI)")
+class TestCommunicator:
+
+ @pytest.mark.parametrize(
+ "communicator_args", (
+ (cusv.CommunicatorType.MPICH, 'libmpi.so'), # see NVIDIA/cuQuantum#31
+ (cusv.CommunicatorType.OPENMPI, ''),
+ # TODO: can we use cffi to generate the wrapper lib on the fly?
+ (cusv.CommunicatorType.EXTERNAL, ''),
+ )
+ )
+ def test_communicator(self, handle, communicator_args):
+ if communicator_args[0] == cusv.CommunicatorType.MPICH:
+ vendor = "MPICH"
+ elif communicator_args[0] == cusv.CommunicatorType.OPENMPI:
+ vendor = "Open MPI"
+ else:
+ vendor = "n/a"
+ comm_name, _ = MPI.get_vendor()
+ if comm_name != vendor:
+ pytest.skip(f"Using {comm_name}, which mismatches with the "
+ f"requested MPI implementation ({vendor})")
+ c = cusv.communicator_create(handle, *communicator_args)
+ cusv.communicator_destroy(handle, c)
+
+
+class TestParameters:
+
+ def test_parameters(self):
+
+ # test constructor
+ parameters = cusv.SVSwapParameters()
+
+ # test getter/setter
+ parameters.transfer_size = 42
+ assert parameters.transfer_size == 42
+
+ # test accessing internal data (numpy.ndarray)
+ parameters_arr = parameters.data
+ assert parameters_arr.ctypes.data == parameters.ptr
+
+ # test reading/writing the underlying ndarray of custom dtype
+ assert parameters_arr.dtype == cusv.sv_swap_parameters_dtype
+ assert parameters_arr['transfer_size'] == 42
+ parameters_arr['transfer_size'] = 24
+ assert parameters_arr['transfer_size'] == 24
+ assert parameters.transfer_size == 24
+
+ # test all struct members
+ parameters.swap_batch_index == parameters_arr['swap_batch_index']
+ parameters.org_sub_sv_index == parameters_arr['org_sub_sv_index']
+ parameters.dst_sub_sv_index == parameters_arr['dst_sub_sv_index']
+ parameters.org_segment_mask_string == parameters_arr['org_segment_mask_string']
+ parameters.dst_segment_mask_string == parameters_arr['dst_segment_mask_string']
+ parameters.segment_mask_ordering == parameters_arr['segment_mask_ordering']
+ parameters.segment_mask_len == parameters_arr['segment_mask_len']
+ parameters.n_segment_bits == parameters_arr['n_segment_bits']
+ parameters.data_transfer_type == parameters_arr['data_transfer_type']
+ parameters.transfer_size == parameters_arr['transfer_size']
+
+ # test alternative constructor & comparison op
+ new_parameters = cusv.SVSwapParameters.from_data(parameters_arr)
+ assert parameters.data == new_parameters.data
+ assert parameters.ptr == new_parameters.ptr
+ assert parameters == new_parameters
+
+ new_parameters_arr = numpy.empty(
+ (1,), dtype=cusv.sv_swap_parameters_dtype)
+ new_parameters_arr['segment_mask_ordering'][:] = 1
+ new_parameters = cusv.SVSwapParameters.from_data(new_parameters_arr)
+ assert parameters.data != new_parameters.data
+ assert parameters.ptr != new_parameters.ptr
+ assert parameters != new_parameters
+
+ # negative tests
+ parameters_arr = numpy.empty(
+ (2,), dtype=cusv.sv_swap_parameters_dtype)
+ with pytest.raises(ValueError) as e: # wrong size
+ parameters = cusv.SVSwapParameters.from_data(parameters_arr)
+ parameters_arr = numpy.empty(
+ (1,), dtype=numpy.float32)
+ with pytest.raises(ValueError) as e: # wrong dtype
+ parameters = cusv.SVSwapParameters.from_data(parameters_arr)
+ parameters_arr = "ABC"
+ with pytest.raises(ValueError) as e: # wrong type
+ parameters = cusv.SVSwapParameters.from_data(parameters_arr)
+
+
+class TestWorker:
+
+ event = cupy.cuda.Event()
+ stream = cupy.cuda.Stream()
+ sv = cupy.zeros((2**4,), dtype=cupy.complex64)
+
+ @pytest.mark.parametrize(
+ "worker_args", ((sv.data.ptr, 0, event.ptr, cudaDataType.CUDA_C_32F, stream.ptr),)
+ )
+ @pytest.mark.parametrize(
+ 'input_form', (
+ {'sv': (numpy.intp, 'int'), 'indices': (numpy.int32, 'int'),
+ 'event': (numpy.intp, 'int')},
+ {'sv': (numpy.intp, 'seq'), 'indices': (numpy.int32, 'seq'),
+ 'event': (numpy.intp, 'seq')},
+ )
+ )
+ @pytest.mark.parametrize(
+ 'param_form', ('class', 'ndarray', 'int')
+ )
+ def test_worker(self, handle, worker_args, input_form, param_form):
+ worker, extra_size, min_size = cusv.sv_swap_worker_create(
+ handle,
+ 0, # set the communicator to null, assuming single process
+ *worker_args)
+
+ extra_space = cupy.cuda.alloc(extra_size)
+ cusv.sv_swap_worker_set_extra_workspace(
+ handle, worker, extra_space.ptr, extra_size)
+
+ transfer_space = cupy.cuda.alloc(min_size)
+ cusv.sv_swap_worker_set_transfer_workspace(
+ handle, worker, transfer_space.ptr, min_size)
+
+ sv = [self.sv.data.ptr]
+ if input_form['sv'][1] == 'int':
+ sv_data = numpy.asarray(
+ sv, dtype=input_form['sv'][0])
+ sv = sv_data.ctypes.data
+
+ indices = [1]
+ if input_form['indices'][1] == 'int':
+ indices_data = numpy.asarray(
+ indices, dtype=input_form['indices'][0])
+ indices = indices_data.ctypes.data
+
+ dummy = cupy.cuda.Event()
+ event = [dummy.ptr]
+ if input_form['event'][1] == 'int':
+ event_data = numpy.asarray(
+ event, dtype=input_form['event'][0])
+ event = event_data.ctypes.data
+
+ cusv.sv_swap_worker_set_sub_svs_p2p(
+ handle, worker,
+ sv, indices, event, 1)
+
+ parameters_data = cusv.SVSwapParameters()
+ parameters_data.swap_batch_index = 0
+ parameters_data.org_sub_sv_index = 0
+ parameters_data.dst_sub_sv_index = 1
+ parameters_data.n_segment_bits = 0
+ parameters_data.transfer_size = 1
+ parameters_data.data_transfer_type = cusv.DataTransferType.NONE
+ parameters_data.segment_mask_len = 0
+ if param_form == "class":
+ parameters = parameters_data
+ elif param_form == "ndarray":
+ parameters = parameters_data.data
+ elif param_form == "int":
+ parameters = parameters_data.ptr
+
+ cusv.sv_swap_worker_set_parameters(
+ handle, worker, parameters, 1)
+
+ cusv.sv_swap_worker_execute(
+ handle, worker, 0, 0)
+
+ cusv.sv_swap_worker_destroy(handle, worker)
+
+
+class TestScheduler:
+
+ @pytest.mark.parametrize(
+ "scheduler_args", ((1, 1),),
+ )
+ @pytest.mark.parametrize(
+ 'input_form', (
+ {'swapped_bits': (numpy.int32, 'int'), 'mask': (numpy.int32, 'int')},
+ {'swapped_bits': (numpy.int32, 'seq'), 'mask': (numpy.int32, 'seq')},
+ )
+ )
+ @pytest.mark.parametrize(
+ 'param_form', (None, 'class', 'ndarray', 'int')
+ )
+ def test_scheduler(self, handle, scheduler_args, input_form, param_form):
+ scheduler = cusv.dist_index_bit_swap_scheduler_create(
+ handle, *scheduler_args)
+
+ swapped_bits = [(0, 1)]
+ n_swapped_bits = len(swapped_bits)
+ if input_form['swapped_bits'][1] == 'int':
+ swapped_bits_data = numpy.asarray(
+ swapped_bits, dtype=input_form['swapped_bits'][0])
+ swapped_bits = swapped_bits_data.ctypes.data
+
+ # TODO: test mask
+ mask_bitstring = []
+ mask_ordering = []
+ mask_len = 0
+ if input_form['mask'][1] == 'int':
+ mask_bitstring_data = numpy.asarray(
+ mask_bitstring, dtype=input_form['mask'][0])
+ mask_bitstring = mask_bitstring_data.ctypes.data
+ mask_ordering_data = numpy.asarray(
+ mask_ordering, dtype=input_form['mask'][0])
+ mask_ordering = mask_ordering_data.ctypes.data
+
+ n_swap_batches = cusv.dist_index_bit_swap_scheduler_set_index_bit_swaps(
+ handle, scheduler,
+ swapped_bits, n_swapped_bits,
+ mask_bitstring, mask_ordering, mask_len)
+ if param_form is None:
+ params_in = None
+ elif param_form == "class":
+ params_in = cusv.SVSwapParameters()
+ elif param_form == "ndarray":
+ params_in = numpy.empty((1,), dtype=cusv.sv_swap_parameters_dtype)
+ elif param_form == "int":
+ params = numpy.empty((1,), dtype=cusv.sv_swap_parameters_dtype)
+ params_in = params.ctypes.data
+ else:
+ assert False
+
+ params_out = cusv.dist_index_bit_swap_scheduler_get_parameters(
+ handle, scheduler, 0, 0, params=params_in)
+ cusv.dist_index_bit_swap_scheduler_destroy(handle, scheduler)
+ if param_form != "int":
+ assert isinstance(params_out, cusv.SVSwapParameters)
+ else:
+ assert params_out is None
+
+ # params_in should be modified in-place
+ if param_form == "class":
+ assert id(params_out) == id(params_in)
+ assert params_out.data == params_in.data
+ assert params_out.ptr == params_in.ptr
+ elif param_form == "ndarray":
+ assert params_out.data == params_in
+ assert params_out.ptr == params_in.ctypes.data
+ elif param_form == "int":
+ # nothing to compare against...
+ pass
+
+
class TestMemHandler(MemHandlerTestBase):
mod = cusv
diff --git a/python/tests/cuquantum_tests/cutensornet_tests/__init__.py b/python/tests/cuquantum_tests/cutensornet_tests/__init__.py
index 79dad2d..3ff1538 100644
--- a/python/tests/cuquantum_tests/cutensornet_tests/__init__.py
+++ b/python/tests/cuquantum_tests/cutensornet_tests/__init__.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/tests/cuquantum_tests/cutensornet_tests/approxTN_utils.py b/python/tests/cuquantum_tests/cutensornet_tests/approxTN_utils.py
new file mode 100644
index 0000000..fde2d03
--- /dev/null
+++ b/python/tests/cuquantum_tests/cutensornet_tests/approxTN_utils.py
@@ -0,0 +1,591 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
+
+# Note: This file must be self-contained and not import private helpers!
+
+import importlib
+import logging
+
+try:
+ import cupy as cp
+except ImportError:
+ cp = None
+import numpy as np
+
+
+####################################################
+################# Helper functions #################
+####################################################
+
+def get_stream_pointer(backend):
+ if backend == "numpy":
+ return 0
+ elif backend == "cupy":
+ return cp.cuda.get_current_stream().ptr
+ elif backend == "torch":
+ import torch
+ return torch.cuda.current_stream().cuda_stream
+ else:
+ raise NotImplementedError(f"{backend} not supported")
+
+
+def infer_backend(obj):
+ module = obj.__class__.__module__.split(".")[0]
+ return importlib.import_module(module)
+
+
+def parse_split_expression(split_expression):
+ modes_in, modes_out = split_expression.split("->")
+ left_modes, right_modes = modes_out.split(",")
+ shared_modes = set(left_modes) & set(right_modes)
+ # only allow one shared mode in the output
+ assert len(shared_modes) == 1, f"the split expr \"{split_expression}\" does not have a unique shared mode"
+ shared_mode = list(shared_modes)[0]
+ return modes_in, left_modes, right_modes, shared_mode
+
+
+def get_new_modes(used_modes, num):
+ base_modes = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"
+ new_modes = ""
+ for mode in base_modes:
+ if mode not in used_modes:
+ new_modes += mode
+ if len(new_modes) == num:
+ break
+ else:
+ raise RuntimeError(f"can't find {num} new modes")
+ return new_modes
+
+
+def prepare_reduced_qr_modes(modes_in, modes_out, new_mode, shared_modes_in):
+ """Given the input modes and output modes in a gate problem, generate the modes for QR for the reduced algorithm"""
+ modes_q = ""
+ modes_r = new_mode
+ for mode in modes_in:
+ if mode in modes_out and mode not in shared_modes_in: # in case the same mode is used as shared modes in both input and output
+ modes_q += mode
+ else:
+ modes_r += mode
+ modes_q += new_mode
+ return modes_q, modes_r
+
+
+# used by cutensornetApprox
+def parse_modes_extents(extent_map, split_expression):
+ modes_in, left_modes_out, right_modes_out, shared_mode_out = parse_split_expression(split_expression)
+ shared_modes_duplicated = False
+ input_modes = modes_in.split(",")
+ if len(input_modes) == 1:
+ left_extent = compute_size(extent_map, left_modes_out.replace(shared_mode_out, ""))
+ right_extent = compute_size(extent_map, right_modes_out.replace(shared_mode_out, ""))
+ elif len(input_modes) == 3:
+ new_modes = get_new_modes(split_expression, 2)
+ left_modes_in, right_modes_in, gate_modes = input_modes
+ shared_modes_in = set(left_modes_in) & set(right_modes_in)
+ modes_qa, modes_ra = prepare_reduced_qr_modes(left_modes_in, left_modes_out, new_modes[0], shared_modes_in)
+ modes_qb, modes_rb = prepare_reduced_qr_modes(right_modes_in, right_modes_out, new_modes[1], shared_modes_in)
+
+ # extent for shared mode between qa and ra
+ intm_open_extent_a = min(compute_size(extent_map, modes_qa.replace(new_modes[0], "")),
+ compute_size(extent_map, modes_ra.replace(new_modes[0], "")))
+ # extent for shared mode between qb and rb
+ intm_open_extent_b = min(compute_size(extent_map, modes_qb.replace(new_modes[1], "")),
+ compute_size(extent_map, modes_rb.replace(new_modes[1], "")))
+
+ intm_modes_out = infer_contracted_output_modes(modes_ra+modes_rb+gate_modes)
+
+ intm_modes_left = "".join([mode for mode in intm_modes_out if mode in left_modes_out and mode != shared_mode_out]) # excluding new_modes[0] (shared mode between qa and ra) and the shared mode between intm_left and intm_right
+ intm_modes_right = "".join([mode for mode in intm_modes_out if mode in right_modes_out and mode != shared_mode_out]) # excluding new_modes[1] (shared) and the shared mode between intm_left and intm_right
+
+ assert set(infer_contracted_output_modes(intm_modes_left+intm_modes_right+new_modes)) == set(intm_modes_out)
+ left_extent = compute_size(extent_map, intm_modes_left) * intm_open_extent_a # multiply by intm_open_extent_a to add back the contribution from shared mode bewteen qa and ra
+ right_extent = compute_size(extent_map, intm_modes_right) * intm_open_extent_b # multiply by intm_open_extent_b to add back the contribution from shared mode bewteen qb and rb
+ shared_modes_duplicated = shared_mode_out in shared_modes_in
+ else:
+ raise ValueError("Split_expression must be a valid SVD/QR or Gate expression")
+ return modes_in, left_modes_out, right_modes_out, shared_mode_out, shared_modes_duplicated, min(left_extent, right_extent)
+
+
+def infer_contracted_output_modes(modes_in):
+ modes_in = modes_in.replace(",","")
+ modes_out = "".join([mode for mode in modes_in if modes_in.count(mode)==1])
+ return modes_out
+
+
+def compute_size(size_dict, modes):
+ """Given the modes, compute the product of all extents that are recorded in size_dict. Note modes not in size_dict will be neglected."""
+ size = 1
+ for mode in modes:
+ if mode in size_dict:
+ size *= size_dict[mode]
+ return size
+
+
+def get_tensordot_axes(modes, shared_mode):
+ axes = []
+ for ax, mode in enumerate(modes):
+ if mode != shared_mode:
+ axes.append(ax)
+ return [axes, axes]
+
+
+def reverse_einsum(split_expression, array_left, array_mid, array_right):
+ backend = infer_backend(array_left)
+ einsum_kwargs = get_einsum_kwargs(backend)
+ modes_in, left_modes, right_modes, shared_mode = parse_split_expression(split_expression)
+ if modes_in.count(",") == 0:
+ modes_out = modes_in
+ else:
+ modes_out = infer_contracted_output_modes(modes_in)
+ if array_mid is None:
+ # For QR or SVD with S partitioned onto U or V or both.
+ einsum_string = f"{left_modes},{right_modes}->{modes_out}"
+ out = backend.einsum(einsum_string, array_left, array_right)
+ else:
+ # For SVD with singular values explicitly returned
+ einsum_string = f"{left_modes},{shared_mode},{right_modes}->{modes_out}"
+ out = backend.einsum(einsum_string, array_left, array_mid, array_right, **einsum_kwargs)
+ return out
+
+
+def is_exact_split(**split_options):
+ max_extent = split_options.get("max_extent", 0)
+ abs_cutoff = split_options.get("abs_cutoff", 0)
+ rel_cutoff = split_options.get("rel_cutoff", 0)
+ normalization = split_options.get("normalization", None)
+ return (max_extent == 0 or max_extent is None) and abs_cutoff == 0 and rel_cutoff == 0 and normalization is None
+
+
+def split_contract_decompose(subscripts):
+ if '.' in subscripts:
+ raise ValueError("This function does not support ellipses notation.")
+ inputs, outputs = subscripts.split('->')
+ tmp_subscripts = outputs.replace(",", "")
+ intm_modes = "".join(s for s in tmp_subscripts if tmp_subscripts.count(s) == 1)
+
+ contract_subscripts = f"{inputs}->{intm_modes}"
+ decompose_subscripts = f"{intm_modes}->{outputs}"
+ return contract_subscripts, decompose_subscripts
+
+#NOTE: torch does not have native support on F order
+# We here get around this by converting to CuPy/NumPy ndarrays as a get arounds
+# the overhead for torch tensors on GPU should be minimal as torch tensors support __cuda_array_interface__
+def torch_support_wrapper(func):
+ def new_func(T, *args, **kwargs):
+ backend = infer_backend(T)
+ if backend not in (cp, np): # torch
+ if T.device.type == 'cpu':
+ out = func(T.numpy(), *args, **kwargs)
+ else:
+ out = func(cp.asarray(T), *args, **kwargs)
+ return backend.as_tensor(out, device=T.device)
+ return func(T, *args, **kwargs)
+ return new_func
+
+def get_einsum_kwargs(backend):
+ if backend in (cp, np):
+ return {'optimize': True}
+ else:
+ return {} # optimize not supported in torch.einsum
+
+
+####################################
+############ Execution #############
+####################################
+@torch_support_wrapper
+def tensor_permute(T, input_modes, output_modes):
+ axes = [input_modes.index(i) for i in output_modes]
+ return T.transpose(*axes).astype(T.dtype, order="F")
+
+
+@torch_support_wrapper
+def tensor_reshape_fortran_order(T, shape):
+ return T.reshape(shape, order='F')
+
+
+def matrix_qr(T):
+ backend = infer_backend(T)
+ return backend.linalg.qr(T)
+
+
+def matrix_svd(
+ T,
+ max_extent=0,
+ abs_cutoff=0,
+ rel_cutoff=0,
+ partition=None,
+ normalization=None,
+ return_info=True
+):
+ info = dict()
+ backend = infer_backend(T)
+ if backend not in (cp, np) and T.device.type != 'cpu':
+ u, s, v = backend.linalg.svd(T, full_matrices=False, driver='gesvd')
+ if v.is_conj(): # VH from torch.linalg.svd is a view, we need to materialize it
+ v = v.resolve_conj()
+ else:
+ u, s, v = backend.linalg.svd(T, full_matrices=False)
+ info["full_extent"] = len(s)
+ cutoff = max(abs_cutoff, rel_cutoff*s[0])
+ if max_extent == 0 or max_extent is None:
+ max_extent = len(s)
+ reduced_extent = min(max_extent, int((s>cutoff).sum()))
+ reduced_extent = max(reduced_extent, 1)
+ info["reduced_extent"] = reduced_extent
+ if reduced_extent != len(s):
+ sqrt_sum = backend.linalg.norm(s).item() ** 2
+ u = u[:, :reduced_extent]
+ s = s[:reduced_extent]
+ v = v[:reduced_extent]
+ reduced_sqrt_sum = backend.linalg.norm(s).item() ** 2
+ info["discarded_weight"] = 1 - reduced_sqrt_sum / sqrt_sum
+ else:
+ info["discarded_weight"] = 0.
+
+ if normalization == "L1":
+ s /= s.sum()
+ elif normalization == "L2":
+ s /= backend.linalg.norm(s)
+ elif normalization == "LInf":
+ s = s / s[0]
+ elif normalization is not None:
+ raise ValueError
+
+ if partition == "U":
+ u = backend.einsum("ab,b->ab", u, s)
+ s = None
+ elif partition == "V":
+ v = backend.einsum("ab,a->ab", v, s)
+ s = None
+ elif partition == "UV":
+ s_sqrt = backend.sqrt(s)
+ u = backend.einsum("ab,b->ab", u, s_sqrt)
+ v = backend.einsum("ab,a->ab", v, s_sqrt)
+ s = None
+ elif partition is not None:
+ raise ValueError
+
+ if return_info:
+ return u, s, v, info
+ else:
+ return u, s, v
+
+
+def tensor_decompose(
+ split_expression,
+ T,
+ method='qr',
+ return_info=False,
+ **kwargs
+):
+ modes_in, left_modes, right_modes, shared_mode = parse_split_expression(split_expression)
+ left_modes_intm = left_modes.replace(shared_mode, '') + shared_mode
+ right_modes_intm = shared_mode + right_modes.replace(shared_mode, '')
+ modes_in_intm = left_modes_intm[:-1] + right_modes_intm[1:]
+ T_intm = tensor_permute(T, modes_in, modes_in_intm)
+ left_shape = T_intm.shape[:len(left_modes)-1]
+ right_shape = T_intm.shape[len(left_modes)-1:]
+ m = np.prod(left_shape, dtype=np.int64)
+ n = np.prod(right_shape, dtype=np.int64)
+ T_intm = tensor_reshape_fortran_order(T_intm, (m, n))
+ if method.lower() == 'qr':
+ if kwargs:
+ raise ValueError("QR does not support any options")
+ if return_info:
+ raise ValueError("No info for tensor QR")
+ out_left, out_right = matrix_qr(T_intm)
+ elif method.lower() == 'svd':
+ out_left, s, out_right, info = matrix_svd(T_intm, return_info=True, **kwargs)
+ else:
+ raise NotImplementedError(f"{method} not supported")
+ T_intm = tensor_reshape_fortran_order(T_intm, (m, n))
+ out_left = tensor_reshape_fortran_order(out_left, tuple(left_shape)+(-1,))
+ out_right = tensor_reshape_fortran_order(out_right, (-1, ) + tuple(right_shape))
+ out_left = tensor_permute(out_left, left_modes_intm, left_modes)
+ out_right = tensor_permute(out_right, right_modes_intm, right_modes)
+ if method == "qr":
+ return out_left, out_right
+ else:
+ if return_info:
+ return out_left, s, out_right, info
+ else:
+ return out_left, s, out_right
+
+
+def gate_decompose(
+ split_expression,
+ array_a,
+ array_b,
+ array_g,
+ gate_algo="direct",
+ return_info=False,
+ **kwargs
+):
+ modes_in, left_modes_out, right_modes_out, shared_mode_out = parse_split_expression(split_expression)
+ backend = infer_backend(array_a)
+ einsum_kwargs = get_einsum_kwargs(backend)
+ left_modes_in, right_modes_in, modes_g = modes_in.split(",")
+
+ if gate_algo == "direct":
+ modes_intm = infer_contracted_output_modes(modes_in)
+ T = backend.einsum(f"{modes_in}->{modes_intm}", array_a, array_b, array_g, **einsum_kwargs)
+ svd_expression = f"{modes_intm}->{left_modes_out},{right_modes_out}"
+ return tensor_decompose(svd_expression, T, method='svd', return_info=return_info, **kwargs)
+ elif gate_algo == "reduced":
+ new_modes = get_new_modes(split_expression, 2)
+ size_dict = dict(zip(left_modes_in, array_a.shape))
+ size_dict.update(dict(zip(right_modes_in, array_b.shape)))
+ shared_modes_in_ab = set(left_modes_in) & set(right_modes_in)
+ modes_qa, modes_ra = prepare_reduced_qr_modes(left_modes_in, left_modes_out, new_modes[0], shared_modes_in_ab)
+ modes_qb, modes_rb = prepare_reduced_qr_modes(right_modes_in, right_modes_out, new_modes[1], shared_modes_in_ab)
+ skip_qr_a = compute_size(size_dict, modes_qa) <= compute_size(size_dict, modes_ra)
+ skip_qr_b = compute_size(size_dict, modes_qb) <= compute_size(size_dict, modes_rb)
+ if not skip_qr_a:
+ qa, ra = tensor_decompose(f"{left_modes_in}->{modes_qa},{modes_ra}", array_a, method="qr")
+ if not skip_qr_b:
+ qb, rb = tensor_decompose(f"{right_modes_in}->{modes_qb},{modes_rb}", array_b, method="qr")
+ intm_modes_in = f"{left_modes_in if skip_qr_a else modes_ra},{right_modes_in if skip_qr_b else modes_rb},{modes_g}"
+ modes_rg = infer_contracted_output_modes(intm_modes_in)
+ einsum_string = intm_modes_in + f"->{modes_rg}"
+ T = backend.einsum(einsum_string, array_a if skip_qr_a else ra, array_b if skip_qr_b else rb, array_g, **einsum_kwargs)
+ modes_rgu = ""
+ modes_rgv = shared_mode_out
+ for mode in modes_rg:
+ if mode in left_modes_out or mode == new_modes[0]:
+ modes_rgu += mode
+ else:
+ modes_rgv += mode
+ modes_rgu += shared_mode_out
+ svd_expression = f"{modes_rg}->{left_modes_out if skip_qr_a else modes_rgu},{right_modes_out if skip_qr_b else modes_rgv}"
+ svd_outputs = tensor_decompose(svd_expression, T, method="svd", return_info=return_info, **kwargs)
+ if skip_qr_a:
+ u = svd_outputs[0]
+ else:
+ u = backend.einsum(f"{modes_qa},{modes_rgu}->{left_modes_out}", qa, svd_outputs[0])
+ s = svd_outputs[1]
+ if skip_qr_b:
+ v = svd_outputs[2]
+ else:
+ v = backend.einsum(f"{modes_qb},{modes_rgv}->{right_modes_out}", qb, svd_outputs[2])
+ if return_info:
+ return u, s, v, svd_outputs[3]
+ else:
+ return u, s, v
+ else:
+ raise ValueError
+
+
+####################################
+########### Verification ###########
+####################################
+
+QR_TOLERANCE = {"float32": 1e-5,
+ "float64": 1e-13,
+ "complex64": 1e-5,
+ "complex128": 1e-13}
+
+
+SVD_TOLERANCE = {"float32": 7e-3,
+ "float64": 1e-13,
+ "complex64": 7e-3,
+ "complex128": 1e-13}
+
+
+def get_tolerance(task, dtype):
+ if hasattr(dtype, "name"):
+ dtype = dtype.name
+ else:
+ dtype = str(dtype).split('.')[-1]
+ if task == "qr":
+ return QR_TOLERANCE[dtype]
+ elif task in ["svd", "gate"]:
+ return SVD_TOLERANCE[dtype]
+ else:
+ raise ValueError
+
+
+def verify_close(
+ array_a,
+ array_b,
+ rtol,
+ scale_by_norm=False,
+ scale_factor=1,
+ error_message=None
+):
+ backend = infer_backend(array_a)
+ diff = backend.linalg.norm(array_a - array_b).item()
+ if scale_by_norm:
+ diff /= scale_factor * backend.linalg.norm(array_b).item()
+ else:
+ diff /= scale_factor
+ is_close = diff < rtol
+ if not is_close:
+ array_diff = backend.abs(array_a - array_b).ravel()
+ idx = backend.argmax(array_diff)
+ if error_message:
+ logging.error(error_message)
+ else:
+ logging.error("Large difference found in input tensors")
+ logging.error(f"For a target rtol of {rtol}, diff max: {array_diff.max()} found at idx: {idx} (a[idx]: {array_a.ravel()[idx]}, b[idx]: {array_b.ravel()[idx]})")
+ return is_close
+
+
+def verify_unitary(
+ T,
+ modes,
+ shared_mode,
+ rtol,
+ tensor_name="Tensor"
+):
+ backend = infer_backend(T)
+ axes = get_tensordot_axes(modes, shared_mode)
+ out = backend.tensordot(T, T.conj(), axes)
+ if backend not in (cp, np): # torch
+ identity = backend.eye(out.shape[0], device=T.device)
+ else:
+ identity = backend.eye(out.shape[0])
+ error_message = f"{tensor_name} is not unitary"
+ return verify_close(out, identity, rtol, False, out.shape[0], error_message)
+
+
+def verify_upper_triangular(
+ T,
+ modes,
+ shared_mode,
+ rtol,
+ tensor_name="Tensor"
+):
+ backend = infer_backend(T)
+ shared_idx = modes.index(shared_mode)
+ mid_extent = T.shape[shared_idx]
+ axes = [shared_idx] + [idx for idx in range(len(modes)) if idx != shared_idx]
+ T_intm = tensor_permute(T, modes, shared_mode+modes.replace(shared_mode, ''))
+ T_intm = tensor_reshape_fortran_order(T_intm, (mid_extent, -1))
+ error_message = f"{tensor_name} is not upper triangular"
+ return verify_close(T_intm, backend.triu(T_intm), rtol, False, mid_extent, error_message)
+
+
+def verify_split_QR(
+ split_expression,
+ T,
+ array_q,
+ array_r,
+ array_q_ref,
+ array_r_ref
+):
+ modes_in, left_modes, right_modes, shared_mode = parse_split_expression(split_expression)
+ shared_mode_idx = left_modes.index(shared_mode)
+ shared_extent = array_q.shape[shared_mode_idx]
+ if T is not None:
+ reference = T
+ else:
+ reference = reverse_einsum(split_expression, array_q_ref, None, array_r_ref)
+
+ out = reverse_einsum(split_expression, array_q, None, array_r)
+ rtol = get_tolerance("qr", out.dtype)
+
+ is_equal = verify_close(reference, out, rtol, True, scale_factor=shared_extent, error_message="Contracted output is not close to the expected outcome")
+ is_unitary = verify_unitary(array_q, left_modes, shared_mode, rtol, tensor_name="Output tensor Q")
+ is_upper_triangular = verify_upper_triangular(array_r, right_modes, shared_mode, rtol, tensor_name="Output tensor R")
+ return is_equal and is_unitary and is_upper_triangular
+
+def verify_split_SVD(
+ split_expression,
+ T,
+ array_u,
+ array_s,
+ array_v,
+ array_u_ref,
+ array_s_ref,
+ array_v_ref,
+ info=None,
+ info_ref=None,
+ **split_options
+):
+ # Note: this functions works for both SVD and Gate (specifying T to be None)
+ modes_in, left_modes, right_modes, shared_mode = parse_split_expression(split_expression)
+ shared_mode_idx = left_modes.index(shared_mode)
+ shared_extent = array_u.shape[shared_mode_idx]
+ if is_exact_split(**split_options) and T is not None:
+ reference = T
+ else:
+ reference = reverse_einsum(split_expression, array_u_ref, array_s_ref, array_v_ref)
+ out = reverse_einsum(split_expression, array_u, array_s, array_v)
+ backend = infer_backend(out)
+ rtol = get_tolerance("svd", out.dtype) # Note: tolerance for gate and svd is equal
+ is_equal = verify_close(reference, out, rtol, True, scale_factor=shared_extent, error_message="Contracted output is not close to the expected outcome")
+
+ partition = split_options.get("partition", None)
+ if partition not in ["U", "V", "UV", None]:
+ raise ValueError
+ normalization = split_options.get("normalization", None)
+ if normalization not in ["L1", "L2", "LInf", None]:
+ raise ValueError
+
+ is_s_equal = True
+ left_tensordot_axes = get_tensordot_axes(left_modes, shared_mode)
+ right_tensordot_axes = get_tensordot_axes(right_modes, shared_mode)
+ if partition == "U":
+ array_s = backend.sqrt(backend.tensordot(array_u, array_u.conj(), left_tensordot_axes,).diagonal().real)
+ array_s_ref = backend.sqrt(backend.tensordot(array_u_ref, array_u_ref.conj(), left_tensordot_axes,).diagonal().real)
+ array_u = backend.einsum(f"{left_modes},{shared_mode}->{left_modes}", array_u, 1.0/array_s)
+ elif partition == "V":
+ array_s = backend.sqrt(backend.tensordot(array_v, array_v.conj(), right_tensordot_axes,).diagonal().real)
+ array_s_ref = backend.sqrt(backend.tensordot(array_v_ref, array_v_ref.conj(), right_tensordot_axes).diagonal().real)
+ array_v = backend.einsum(f"{right_modes},{shared_mode}->{right_modes}", array_v, 1.0/array_s)
+ elif partition == "UV":
+ array_s = backend.tensordot(array_u, array_u.conj(), left_tensordot_axes).diagonal().real
+ array_s1 = backend.tensordot(array_v, array_v.conj(), right_tensordot_axes,).diagonal().real
+ array_s_ref = backend.tensordot(array_u_ref, array_u_ref.conj(), left_tensordot_axes).diagonal().real
+ is_s_equal = verify_close(array_s, array_s1, rtol, scale_by_norm=True, scale_factor=shared_extent, error_message="Singular values from u and v are not equal")
+ array_u = backend.einsum(f"{left_modes},{shared_mode}->{left_modes}", array_u, 1.0/backend.sqrt(array_s))
+ array_v = backend.einsum(f"{right_modes},{shared_mode}->{right_modes}", array_v, 1.0/backend.sqrt(array_s))
+
+ is_u_unitary = verify_unitary(array_u, left_modes, shared_mode, rtol, tensor_name="Output tensor U")
+ is_v_unitary = verify_unitary(array_v, right_modes, shared_mode, rtol, tensor_name="Output tensor V")
+ is_s_equal = is_s_equal and verify_close(array_s, array_s_ref, rtol, scale_by_norm=True, scale_factor=shared_extent, error_message="Output singular values not matching reference")
+ info_equal = True
+ if info is not None and info_ref is not None:
+ for attr in ["full_extent", "reduced_extent"]:
+ info_equal = info_equal and info[attr] == info_ref[attr]
+ info_equal = info_equal and (abs(info["discarded_weight"]-info_ref["discarded_weight"]) < rtol)
+ if not info_equal:
+ info_details = "".join([f"{key}:({info.get(key)}, {info_ref.get(key)}); " for key in info.keys()])
+ logging.error(f"SVD Info not matching the reference: {info_details}")
+ return is_equal and is_u_unitary and is_v_unitary and is_s_equal and info_equal
+
+
+def verify_split(
+ split_expression,
+ method,
+ T,
+ array_left,
+ array_mid,
+ array_right,
+ array_left_ref,
+ array_mid_ref,
+ array_right_ref,
+ info=None,
+ info_ref=None,
+ **split_options
+):
+ if method == "qr":
+ return verify_split_QR(split_expression, T, array_left, array_right, array_left_ref, array_right_ref)
+ elif method in ["gate", "svd"]:
+ return verify_split_SVD(split_expression, T,
+ array_left, array_mid, array_right,
+ array_left_ref, array_mid_ref, array_right_ref,
+ info=info, info_ref=info_ref, **split_options)
+ else:
+ raise NotImplementedError
+
+if __name__ == "__main__":
+ np.random.seed(3)
+ T = np.random.random([2,2,2,2])
+ split_expression = "abcd->axc,xdb"
+ method = 'qr'
+
+ q, r = tensor_decompose(split_expression, T, method=method)
+
+ assert verify_split(split_expression, method, T, q, None, r, q, None, r)
diff --git a/python/tests/cuquantum_tests/cutensornet_tests/circuit_utils.py b/python/tests/cuquantum_tests/cutensornet_tests/circuit_utils.py
index be63d71..b6a3f03 100644
--- a/python/tests/cuquantum_tests/cutensornet_tests/circuit_utils.py
+++ b/python/tests/cuquantum_tests/cutensornet_tests/circuit_utils.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
@@ -25,6 +25,7 @@
from cuquantum.cutensornet._internal.circuit_converter_utils import EINSUM_SYMBOLS_BASE
from cuquantum.cutensornet._internal.circuit_converter_utils import get_pauli_gates
from cuquantum.cutensornet._internal.circuit_converter_utils import parse_gates_to_mode_labels_operands
+from cuquantum.cutensornet._internal.utils import infer_object_package
from .test_utils import atol_mapper, rtol_mapper
@@ -267,7 +268,15 @@ def get_expectation_from_sv(self, pauli_string):
def _get_state_vector_from_simulator(self):
raise NotImplementedError
-
+
+ def test_qubits(self):
+ assert len(self.qubits) == self.num_qubits
+
+ def test_gates(self):
+ for (gate_operand, qubits) in self.converter.gates:
+ assert gate_operand.ndim == len(qubits) * 2
+ assert infer_object_package(gate_operand) is self.backend
+
def test_state_vector(self):
expression, operands = self.converter.state_vector()
sv1 = contract(expression, *operands)
diff --git a/python/tests/cuquantum_tests/cutensornet_tests/data.py b/python/tests/cuquantum_tests/cutensornet_tests/data.py
index ae9cd6b..7cab507 100644
--- a/python/tests/cuquantum_tests/cutensornet_tests/data.py
+++ b/python/tests/cuquantum_tests/cutensornet_tests/data.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
@@ -31,6 +31,7 @@
# the second variant is suitable for testing exotic TNs that require further customization
# TODO: expand the tests
einsum_expressions = (
+ "ij,jb,ah",
"ea,fb,abcd,gc,hd->efgh",
"ea,fb,abcd,gc,hd",
"ij,jk,kl->il",
@@ -60,3 +61,50 @@
["dcc,fce,ea,dbf->ab", {}, {}, "float64"],
["a,ac,ab,ad,cd,bd,bc->", {}, {}, "float64"],
)
+
+# the expression here should be
+# - a list [decomposition_expression, input_tensor_shapes as a list of tuple]
+tensor_decomp_expressions = (
+ ('ab->ax,xb', [(8, 8)]),
+ ('ab->ax,bx', [(8, 8)]),
+ ('ab->xa,xb', [(8, 8)]),
+ ('ab->xa,bx', [(8, 8)]),
+ ('ab->ax,xb', [(6, 8)]),
+ ('ab->ax,bx', [(6, 8)]),
+ ('ab->xa,xb', [(6, 8)]),
+ ('ab->xa,bx', [(6, 8)]),
+ ('ab->ax,xb', [(8, 6)]),
+ ('ab->ax,bx', [(8, 6)]),
+ ('ab->xa,xb', [(8, 6)]),
+ ('ab->xa,bx', [(8, 6)]),
+ ('abcd->cxa,bdx', [(2, 3, 4, 5)]),
+ ('abcd->cax,bdx', [(2, 3, 4, 5)]),
+ ('mnijk->jny,kmyi', [(2, 9, 3, 3, 4)])
+)
+
+# the expression here should be
+# - a list [gate_decomposition_expression, input_tensor_shapes as a list of tuple]
+gate_decomp_expressions = (
+ ('ijk,klm,jlpq->ipk,kqm', [(4, 2, 4), (4, 2, 4), (2, 2, 2, 2)]),
+ ('ijk,klm,jlpq->kpi,qmk', [(4, 2, 4), (4, 2, 4), (2, 2, 2, 2)]),
+ ('ijk,klm,jlpq->pki,mkq', [(4, 2, 4), (4, 2, 4), (2, 2, 2, 2)]),
+ ('sOD,DdNr,ROrsq->KR,qKdN', [(2, 4, 2), (2, 3, 4, 2), (5, 4, 2, 2, 2)]),
+ ('beQ,cey,cbJj->Je,jQey', [(3, 5, 4), (2, 5, 7), (2, 3, 4, 4)])
+)
+
+# the expression here can be
+# - a string as a standard contract and decompose expression
+# - a list of [contract decompose expression, network options, optimize options, kwargs]
+contract_decompose_expr = (
+ 'ea,fb,abcd,gc,hd->exf,gxh',
+ 'ij,jk,kl->ix,lx',
+ 'ijk,klm,jlpq->ipk,kqm',
+ 'abcd,cdef->axb,fex',
+ 'abcd,cdef->axf,bex',
+ 'sOD,DdNr,ROrsq->KR,qKdN',
+ 'beQ,cey,cbJj->Je,jQey',
+ 'ijlm,jqr,lqsn->imx,xrsn',
+ ['ijk,klm,jlpq->ipk,kqm', {}, {}, {'return_info': False}],
+ ['sOD,DdNr,ROrsq->KR,qKdN', {'device_id':0}, {'slicing': {'min_slices': 4}}, {'return_info': False}],
+ ['ea,fb,abcd,gc,hd->exf,gxh', {'device_id':0}, {'path': [(2,4), (0,3), (0,2), (0,1)]}, {}],
+)
diff --git a/python/tests/cuquantum_tests/cutensornet_tests/test_circuit_converter.py b/python/tests/cuquantum_tests/cutensornet_tests/test_circuit_converter.py
index a387567..039674c 100644
--- a/python/tests/cuquantum_tests/cutensornet_tests/test_circuit_converter.py
+++ b/python/tests/cuquantum_tests/cutensornet_tests/test_circuit_converter.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/tests/cuquantum_tests/cutensornet_tests/test_contract.py b/python/tests/cuquantum_tests/cutensornet_tests/test_contract.py
index 25d73fd..51f2efb 100644
--- a/python/tests/cuquantum_tests/cutensornet_tests/test_contract.py
+++ b/python/tests/cuquantum_tests/cutensornet_tests/test_contract.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
@@ -18,6 +18,7 @@
from .test_utils import atol_mapper, EinsumFactory, rtol_mapper
from .test_utils import compute_and_normalize_numpy_path
from .test_utils import deselect_contract_tests
+from .test_utils import get_stream_for_backend
from .test_utils import set_path_to_optimizer_options
@@ -58,10 +59,7 @@ def _test_runner(
factory.input_shapes, xp, dtype, order)
backend = sys.modules[infer_object_package(operands[0])]
if stream:
- if backend is numpy:
- stream = cupy.cuda.Stream() # implementation detail
- else:
- stream = backend.cuda.Stream()
+ stream = get_stream_for_backend(backend)
path = None
if use_numpy_path:
diff --git a/python/tests/cuquantum_tests/cutensornet_tests/test_contract_path.py b/python/tests/cuquantum_tests/cutensornet_tests/test_contract_path.py
index cb1a4e4..59ec90f 100644
--- a/python/tests/cuquantum_tests/cutensornet_tests/test_contract_path.py
+++ b/python/tests/cuquantum_tests/cutensornet_tests/test_contract_path.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/tests/cuquantum_tests/cutensornet_tests/test_cutensornet.py b/python/tests/cuquantum_tests/cutensornet_tests/test_cutensornet.py
index 52d6955..8e39f8b 100644
--- a/python/tests/cuquantum_tests/cutensornet_tests/test_cutensornet.py
+++ b/python/tests/cuquantum_tests/cutensornet_tests/test_cutensornet.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
@@ -19,8 +19,13 @@
import cuquantum
from cuquantum import ComputeType, cudaDataType
from cuquantum import cutensornet as cutn
-from .test_utils import atol_mapper, rtol_mapper
+from cuquantum import tensor
+from cuquantum.cutensornet._internal.decomposition_utils import get_svd_info_dict, parse_svd_config
+from cuquantum.cutensornet._internal.utils import check_or_create_options
+from . import approxTN_utils
+from .data import gate_decomp_expressions, tensor_decomp_expressions
+from .test_utils import atol_mapper, rtol_mapper
from .. import (_can_use_cffi, dtype_to_compute_type, dtype_to_data_type,
MemHandlerTestBase, MemoryResourceFactory, LoggerTestBase)
@@ -59,8 +64,10 @@ def test_func(self, *args, **kwargs):
self.tn = tn
elif name == 'tensor_decom':
tn, dtype, tensor_form = self.tn, self.dtype, self.tensor_form
- einsum, shapes = tn # unpack
- tn = TensorDecompositionFactory(einsum, shapes, dtype)
+ options = getattr(self, "options", {})
+ max_extent = options.get("max_extent", None)
+ subscript, shapes = tn # unpack
+ tn = TensorDecompositionFactory(subscript, shapes, dtype, max_extent=max_extent)
h = []
for t in tn.tensor_names:
t = cutn.create_tensor_descriptor(
@@ -568,34 +575,39 @@ def test_contraction_workflow(
# manage workspace
if mempool is None:
cutn.workspace_compute_sizes(handle, dscr, info, workspace)
- required_size_deprecated = cutn.workspace_get_size(
+ required_size_deprecated = cutn.workspace_get_memory_size(
handle, workspace,
getattr(cutn.WorksizePref, f"{workspace_pref.upper()}"),
- cutn.Memspace.DEVICE) # TODO: parametrize memspace?
+ cutn.Memspace.DEVICE, # TODO: parametrize memspace?
+ cutn.WorkspaceKind.SCRATCH)
cutn.workspace_compute_contraction_sizes(handle, dscr, info, workspace)
- required_size = cutn.workspace_get_size(
+ required_size = cutn.workspace_get_memory_size(
handle, workspace,
getattr(cutn.WorksizePref, f"{workspace_pref.upper()}"),
- cutn.Memspace.DEVICE) # TODO: parametrize memspace?
+ cutn.Memspace.DEVICE, # TODO: parametrize memspace?
+ cutn.WorkspaceKind.SCRATCH)
assert required_size == required_size_deprecated
if workspace_size < required_size:
assert False, \
f"wrong assumption on the workspace size " \
f"(given: {workspace_size}, needed: {required_size})"
workspace_ptr = cupy.cuda.alloc(workspace_size)
- cutn.workspace_set(
+ cutn.workspace_set_memory(
handle, workspace,
cutn.Memspace.DEVICE,
+ cutn.WorkspaceKind.SCRATCH,
workspace_ptr.ptr, workspace_size)
# round-trip check
- assert (workspace_ptr.ptr, workspace_size) == cutn.workspace_get(
+ assert (workspace_ptr.ptr, workspace_size) == cutn.workspace_get_memory(
handle, workspace,
- cutn.Memspace.DEVICE)
+ cutn.Memspace.DEVICE,
+ cutn.WorkspaceKind.SCRATCH)
else:
- cutn.workspace_set(
+ cutn.workspace_set_memory(
handle, workspace,
cutn.Memspace.DEVICE,
- 0, 0) # TODO: check custom workspace size?
+ cutn.WorkspaceKind.SCRATCH,
+ 0, -1) # TODO: check custom workspace size?
plan = None
try:
@@ -670,91 +682,60 @@ def test_set_get_device_mem_handler(self, source):
class TensorDecompositionFactory:
- # QR Example: "ab->ax,xb"
- # SVD Example: "ab->ax,x,xb"
- # Gate Example: "ijk,klm,jkpq->->ipk,k,kqm" for indirect gate with singular values returned.
- # "ijk,klm,jkpq->ipk,-,kqm" for direct gate algorithm with singular values equally partitioned onto u and v
-
- # self.reconstruct must be a valid einsum expr and can be used to reconstruct
- # the input tensor if no/little truncation was done
-
+ # QR/SVD Example: "ab->ax,xb"
+ # Gate Example: "ijk,klm,jkpq->->ipk,kqm"
# This factory CANNOT be reused; once a tensor descriptor uses it, it must
# be discarded.
- svd_partitioned = ('<', '-', '>') # reserved symbols
+ def __init__(self, subscript, shapes, dtype, max_extent=None):
+ self.subscript = subscript
- def __init__(self, einsum, shapes, dtype):
- if len(shapes) == 3:
- self.tensor_names = ['input', 'left', 'right']
- self.einsum = einsum
- elif len(shapes) == 5:
- self.tensor_names = ['inputA', 'inputB', 'inputG', 'left', 'right']
- if einsum.count("->") == 1:
- self.gate_algorithm = cutn.GateSplitAlgo.DIRECT
- self.einsum = einsum
- elif einsum.count("->") == 2:
- self.gate_algorithm = cutn.GateSplitAlgo.REDUCED
- self.einsum = einsum.replace("->->", "->")
- else:
- raise NotImplementedError
- else:
+ if len(shapes) not in [1, 3]:
raise NotImplementedError
- inputs, output = self.einsum.split('->')
- output = output.split(',')
- if len(output) == 2: # QR
- left, right = output
- self.reconstruct = f"{left},{right}->{inputs}"
- all_modes = [inputs, left, right]
- elif len(output) == 3: # SVD or Gate
- left, mid_mode, right = output
- common_mode = set(left).intersection(right).pop()
- assert len(common_mode) == 1
- idx_left = left.find(common_mode)
- idx_right = right.find(common_mode)
- self.mid_mode = mid_mode
-
- if len(shapes) == 3: # svd
- all_modes = [inputs, left, right]
- assert shapes[1][idx_left] == shapes[2][idx_right]
- self.mid_extent = shapes[1][idx_left]
- self.reference_einsum = None
- if mid_mode in self.svd_partitioned:
- # s is already merged into left, both, or right
- self.reconstruct = f"{left},{right}->{inputs}"
+ modes_in, left_modes, right_modes, shared_mode = approxTN_utils.parse_split_expression(subscript)
+ modes_in = modes_in.split(",")
+ size_dict = dict()
+ for modes, shape in zip(modes_in, shapes):
+ for mode, extent in zip(modes, shape):
+ if mode in size_dict:
+ assert size_dict[mode] == extent
else:
- assert mid_mode == common_mode
- self.reconstruct = f"{left},{common_mode},{right}->{inputs}"
- else: # Gate
- all_modes = list(inputs.split(","))+[left, right]
- assert shapes[3][idx_left] == shapes[4][idx_right]
- self.mid_extent = shapes[3][idx_left]
- contracted_output_modes = "".join((set(left) | set(right)) - (set(left) & set(right)))
- self.reference_einsum = f"{inputs}->{contracted_output_modes}"
- if mid_mode in self.svd_partitioned:
- # s is already merged into left, both, or right
- self.reconstruct = f"{left},{right}->{contracted_output_modes}"
- else:
- assert mid_mode == common_mode
- self.reconstruct = f"{left},{common_mode},{right}->{contracted_output_modes}"
+ size_dict[mode] = extent
+ _, left_modes_out, right_modes_out, shared_mode_out, _, mid_extent = approxTN_utils.parse_modes_extents(size_dict, subscript)
+ # Note: we need to parse options as this is where max_extent is specified
+ self.shared_mode_idx_left = left_modes_out.find(shared_mode_out)
+ self.shared_mode_idx_right = right_modes_out.find(shared_mode_out)
+ if max_extent is None:
+ # no truncation on extent
+ self.mid_extent = mid_extent
else:
- assert False
- del output
+ assert max_extent > 0
+ self.mid_extent = min(mid_extent, max_extent)
+ self.tensor_names = [f"input_{i}" for i in range(len(shapes))] + ["left", "right"] # note s needs to be explictly managed in the tester function
+
# xp strides in bytes, cutn strides in counts
dtype = cupy.dtype(dtype)
+ real_dtype = dtype.char.lower()
+ is_complex = dtype.char != real_dtype
itemsize = dtype.itemsize
- for name, shape, modes in zip(self.tensor_names, shapes, all_modes):
- real_dtype = dtype.char.lower()
+ def _get_tensor(name, modes):
if name.startswith('input'):
- if dtype.char != real_dtype: # complex
+ shape = [size_dict[mode] for mode in modes]
+ if is_complex: # complex
arr = (cupy.random.random(shape, dtype=real_dtype)
+ 1j*cupy.random.random(shape, dtype=real_dtype)).astype(dtype)
else:
arr = cupy.random.random(shape, dtype=dtype)
else:
+ shape = [self.mid_extent if mode == shared_mode_out else size_dict[mode] for mode in modes]
arr = cupy.empty(shape, dtype=dtype, order='F')
+ return arr
+
+ for name, modes in zip(self.tensor_names, modes_in + [left_modes_out, right_modes_out]):
+ arr = _get_tensor(name, modes)
setattr(self, f'{name}_tensor', arr)
setattr(self, f'{name}_n_modes', len(arr.shape))
setattr(self, f'{name}_extent', arr.shape)
@@ -802,23 +783,19 @@ def get_tensor_metadata(self, name, **kwargs):
def get_tensor_ptr(self, name):
return getattr(self, f'{name}_tensor').data.ptr
+
+ def get_operands(self, include_inputs=True, include_outputs=True):
+ operands = []
+ for name in self.tensor_names:
+ if include_inputs and name.startswith('input'):
+ operands.append(getattr(self, f'{name}_tensor'))
+ elif include_outputs and not name.startswith('input'):
+ operands.append(getattr(self, f'{name}_tensor'))
+ return operands
@testing.parameterize(*testing.product({
- 'tn': (
- ('ab->ax,xb', [(8, 8), (8, 8), (8, 8)]),
- ('ab->ax,bx', [(8, 8), (8, 8), (8, 8)]),
- ('ab->xa,xb', [(8, 8), (8, 8), (8, 8)]),
- ('ab->xa,bx', [(8, 8), (8, 8), (8, 8)]),
- ('ab->ax,xb', [(6, 8), (6, 6), (6, 8)]),
- ('ab->ax,bx', [(6, 8), (6, 6), (8, 6)]),
- ('ab->xa,xb', [(6, 8), (6, 6), (6, 8)]),
- ('ab->xa,bx', [(6, 8), (6, 6), (8, 6)]),
- ('ab->ax,xb', [(8, 6), (8, 6), (6, 6)]),
- ('ab->ax,bx', [(8, 6), (8, 6), (6, 6)]),
- ('ab->xa,xb', [(8, 6), (6, 8), (6, 6)]),
- ('ab->xa,bx', [(8, 6), (6, 8), (6, 6)]),
- ),
+ 'tn': tensor_decomp_expressions,
'dtype': (
numpy.float32, numpy.float64, numpy.complex64, numpy.complex128
),
@@ -837,6 +814,7 @@ class TestTensorQR:
def test_tensor_qr(self):
# unpack
handle, tn, workspace = self.handle, self.tn, self.workspace
+
tensor_in, tensor_q, tensor_r = self.tensor_decom
dtype = cupy.dtype(self.dtype)
@@ -845,68 +823,34 @@ def test_tensor_qr(self):
handle, tensor_in, tensor_q, tensor_r, workspace)
# for now host workspace is always 0, so just query device one
# also, it doesn't matter which one (min/recommended/max) is queried
- required_size = cutn.workspace_get_size(
+ required_size = cutn.workspace_get_memory_size(
handle, workspace, cutn.WorksizePref.MIN,
- cutn.Memspace.DEVICE) # TODO: parametrize memspace?
+ cutn.Memspace.DEVICE, # TODO: parametrize memspace?
+ cutn.WorkspaceKind.SCRATCH)
if required_size > 0:
workspace_ptr = cupy.cuda.alloc(required_size)
- cutn.workspace_set(
- handle, workspace, cutn.Memspace.DEVICE,
+ cutn.workspace_set_memory(
+ handle, workspace, cutn.Memspace.DEVICE, cutn.WorkspaceKind.SCRATCH,
workspace_ptr.ptr, required_size)
# round-trip check
- assert (workspace_ptr.ptr, required_size) == cutn.workspace_get(
- handle, workspace, cutn.Memspace.DEVICE)
+ assert (workspace_ptr.ptr, required_size) == cutn.workspace_get_memory(
+ handle, workspace, cutn.Memspace.DEVICE, cutn.WorkspaceKind.SCRATCH)
# perform QR
stream = cupy.cuda.get_current_stream().ptr # TODO
cutn.tensor_qr(
- handle, tensor_in, tn.get_tensor_ptr('input'),
+ handle, tensor_in, tn.get_tensor_ptr('input_0'),
tensor_q, tn.get_tensor_ptr('left'),
tensor_r, tn.get_tensor_ptr('right'),
workspace, stream)
- # we add a minimal correctness check here as we are not protected by
- # any high-level API yet
- out = cupy.einsum(tn.reconstruct, tn.left_tensor, tn.right_tensor)
- assert cupy.allclose(out, tn.input_tensor,
- rtol=rtol_mapper[dtype.name],
- atol=atol_mapper[dtype.name])
+ # for QR, no need to compute the reference for correctness check
+ operands = tn.get_operands(include_inputs=True, include_outputs=True) # input, q, r
+ assert approxTN_utils.verify_split_QR(tn.subscript, *operands, None, None)
-# TODO: expand tests:
-# - add truncation
-# - use config (cutoff & normalization)
@testing.parameterize(*testing.product({
- 'tn': (
- # no truncation, no partition
- ('ab->ax,x,xb', [(8, 8), (8, 8), (8, 8)]),
- ('ab->ax,x,bx', [(8, 8), (8, 8), (8, 8)]),
- ('ab->xa,x,xb', [(8, 8), (8, 8), (8, 8)]),
- ('ab->xa,x,bx', [(8, 8), (8, 8), (8, 8)]),
- ('ab->ax,x,xb', [(6, 8), (6, 6), (6, 8)]),
- ('ab->ax,x,bx', [(6, 8), (6, 6), (8, 6)]),
- ('ab->xa,x,xb', [(6, 8), (6, 6), (6, 8)]),
- ('ab->xa,x,bx', [(6, 8), (6, 6), (8, 6)]),
- ('ab->ax,x,xb', [(8, 6), (8, 6), (6, 6)]),
- ('ab->ax,x,bx', [(8, 6), (8, 6), (6, 6)]),
- ('ab->xa,x,xb', [(8, 6), (6, 8), (6, 6)]),
- ('ab->xa,x,bx', [(8, 6), (6, 8), (6, 6)]),
- # no truncation, partition to u
- ('ab->ax,<,xb', [(8, 8), (8, 8), (8, 8)]),
- ('ab->ax,<,bx', [(8, 8), (8, 8), (8, 8)]),
- ('ab->xa,<,xb', [(8, 8), (8, 8), (8, 8)]),
- ('ab->xa,<,bx', [(8, 8), (8, 8), (8, 8)]),
- # no truncation, partition to v
- ('ab->ax,>,xb', [(8, 8), (8, 8), (8, 8)]),
- ('ab->ax,>,bx', [(8, 8), (8, 8), (8, 8)]),
- ('ab->xa,>,xb', [(8, 8), (8, 8), (8, 8)]),
- ('ab->xa,>,bx', [(8, 8), (8, 8), (8, 8)]),
- # no truncation, partition to both
- ('ab->ax,-,xb', [(8, 8), (8, 8), (8, 8)]),
- ('ab->ax,-,bx', [(8, 8), (8, 8), (8, 8)]),
- ('ab->xa,-,xb', [(8, 8), (8, 8), (8, 8)]),
- ('ab->xa,-,bx', [(8, 8), (8, 8), (8, 8)]),
- ),
+ 'tn': tensor_decomp_expressions,
'dtype': (
numpy.float32, numpy.float64, numpy.complex64, numpy.complex128
),
@@ -914,34 +858,17 @@ def test_tensor_qr(self):
{'extent': 'int', 'stride': 'int', 'mode': 'int'},
{'extent': 'seq', 'stride': 'seq', 'mode': 'seq'},
),
+ 'options': (
+ {}, # standard exact svd
+ {'max_extent': 4, 'normalization':'L1', 'partition':'U'}, # fix extent truncation
+ {'abs_cutoff': 0.1, 'rel_cutoff': 0.1}, # value based truncation
+ {'abs_cutoff': 0.1, 'normalization':'L2', 'partition':'V'}, # absolute value based truncation
+ {'rel_cutoff': 0.1, 'normalization':'LInf', 'partition':'UV'}, # relative value based truncation
+ {'max_extent': 4, 'abs_cutoff': 0.1, 'rel_cutoff': 0.1, 'normalization':'L1', 'partition':'UV'}, # compound truncation
+ ),
}))
class TestTensorSVD:
- def _get_scalar_attr(self, handle, obj_type, obj, attr):
- if obj_type == 'config':
- dtype_getter = cutn.tensor_svd_config_get_attribute_dtype
- getter = cutn.tensor_svd_config_get_attribute
- elif obj_type == 'info':
- dtype_getter = cutn.tensor_svd_info_get_attribute_dtype
- getter = cutn.tensor_svd_info_get_attribute
- else:
- assert False
-
- dtype = dtype_getter(attr)
- data = numpy.empty((1,), dtype=dtype)
- getter(handle, obj, attr, data.ctypes.data, data.dtype.itemsize)
- return data
-
- def _set_scalar_attr(self, handle, obj_type, obj, attr, data):
- assert obj_type == 'config' # svd info has no setter
- dtype_getter = cutn.tensor_svd_config_get_attribute_dtype
- setter = cutn.tensor_svd_config_set_attribute
-
- dtype = dtype_getter(attr)
- if not isinstance(data, numpy.ndarray):
- data = numpy.asarray(data, dtype=dtype)
- setter(handle, obj, attr, data.ctypes.data, data.dtype.itemsize)
-
# There is no easy way for us to test each API independently, so we instead
# parametrize the steps and test the whole workflow
@manage_resource('handle')
@@ -956,117 +883,79 @@ def test_tensor_svd(self):
svd_config, svd_info = self.svd_config, self.svd_info
dtype = cupy.dtype(self.dtype)
+ # parse svdConfig
+ svd_method = check_or_create_options(tensor.SVDMethod, self.options, "SVDMethod")
+ parse_svd_config(handle, svd_config, svd_method, logger=None)
+
# prepare workspace
cutn.workspace_compute_svd_sizes(
handle, tensor_in, tensor_u, tensor_v, svd_config, workspace)
# for now host workspace is always 0, so just query device one
# also, it doesn't matter which one (min/recommended/max) is queried
- required_size = cutn.workspace_get_size(
+ required_size = cutn.workspace_get_memory_size(
handle, workspace, cutn.WorksizePref.MIN,
- cutn.Memspace.DEVICE) # TODO: parametrize memspace?
+ cutn.Memspace.DEVICE, # TODO: parametrize memspace?
+ cutn.WorkspaceKind.SCRATCH)
if required_size > 0:
workspace_ptr = cupy.cuda.alloc(required_size)
- cutn.workspace_set(
- handle, workspace, cutn.Memspace.DEVICE,
+ cutn.workspace_set_memory(
+ handle, workspace, cutn.Memspace.DEVICE, cutn.WorkspaceKind.SCRATCH,
workspace_ptr.ptr, required_size)
# round-trip check
- assert (workspace_ptr.ptr, required_size) == cutn.workspace_get(
- handle, workspace, cutn.Memspace.DEVICE)
-
- # set singular value partitioning, if requested
- if tn.mid_mode in tn.svd_partitioned:
- if tn.mid_mode == '<':
- data = cutn.TensorSVDPartition.US
- elif tn.mid_mode == '-':
- data = cutn.TensorSVDPartition.UV_EQUAL
- else: # = '<':
- data = cutn.TensorSVDPartition.SV
- self._set_scalar_attr(
- handle, 'config', svd_config,
- cutn.TensorSVDConfigAttribute.S_PARTITION,
- data)
- # do a round-trip test as a sanity check
- factor = self._get_scalar_attr(
- handle, 'config', svd_config,
- cutn.TensorSVDConfigAttribute.S_PARTITION)
- assert factor == data
-
- # perform SVD
- stream = cupy.cuda.get_current_stream().ptr # TODO
- if tn.mid_mode in tn.svd_partitioned:
- s_ptr = 0
- else:
+ assert (workspace_ptr.ptr, required_size) == cutn.workspace_get_memory(
+ handle, workspace, cutn.Memspace.DEVICE, cutn.WorkspaceKind.SCRATCH)
+
+ partition = self.options.get("partition", None)
+ if partition is None:
s = cupy.empty(tn.mid_extent, dtype=dtype.char.lower())
s_ptr = s.data.ptr
+ else:
+ s = None
+ s_ptr = 0
+
+ # perform SVD
+ stream = cupy.cuda.get_current_stream().ptr # TODO
cutn.tensor_svd(
- handle, tensor_in, tn.get_tensor_ptr('input'),
+ handle, tensor_in, tn.get_tensor_ptr('input_0'),
tensor_u, tn.get_tensor_ptr('left'),
s_ptr,
tensor_v, tn.get_tensor_ptr('right'),
svd_config, svd_info, workspace, stream)
+
+ # get runtime truncation details
+ info = get_svd_info_dict(handle, svd_info)
+
+ T, u, v = tn.get_operands(include_inputs=True, include_outputs=True)
+
+ # update the container if reduced extent if found to be different from specified mid extent
+ extent_U_out, strides_U_out = cutn.get_tensor_details(handle, tensor_u)[2:]
+ extent_V_out, strides_V_out = cutn.get_tensor_details(handle, tensor_v)[2:]
+ reduced_extent = info['reduced_extent']
+ assert extent_U_out[tn.shared_mode_idx_left] == reduced_extent
+ assert extent_V_out[tn.shared_mode_idx_right] == reduced_extent
+ if tuple(extent_U_out) != u.shape:
+ strides_U_out = [i * u.itemsize for i in strides_U_out]
+ strides_V_out = [i * v.itemsize for i in strides_V_out]
+ tn.left_tensor = u = cupy.ndarray(extent_U_out, dtype=u.dtype, memptr=u.data, strides=strides_U_out)
+ if s is not None:
+ s = cupy.ndarray(reduced_extent, dtype=s.dtype, memptr=s.data, order='F')
+ tn.right_tensor = v = cupy.ndarray(extent_V_out, dtype=v.dtype, memptr=v.data, strides=strides_V_out)
+
+ u_ref, s_ref, v_ref, info_ref = approxTN_utils.tensor_decompose(
+ tn.subscript, T,
+ method='svd', return_info=True,
+ **self.options)
- # sanity checks (only valid for no truncation)
- assert tn.mid_extent == self._get_scalar_attr(
- handle, 'info', svd_info,
- cutn.TensorSVDInfoAttribute.FULL_EXTENT)
- assert tn.mid_extent == self._get_scalar_attr(
- handle, 'info', svd_info,
- cutn.TensorSVDInfoAttribute.REDUCED_EXTENT)
- assert 0 == self._get_scalar_attr(
- handle, 'info', svd_info,
- cutn.TensorSVDInfoAttribute.DISCARDED_WEIGHT)
-
- # we add a minimal correctness check here as we are not protected by
- # any high-level API yet
- if tn.mid_mode in tn.svd_partitioned:
- out = cupy.einsum(
- tn.reconstruct, tn.left_tensor, tn.right_tensor)
- else:
- out = cupy.einsum(
- tn.reconstruct, tn.left_tensor, s, tn.right_tensor)
- assert cupy.allclose(out, tn.input_tensor,
- rtol=rtol_mapper[dtype.name],
- atol=atol_mapper[dtype.name])
+ assert approxTN_utils.verify_split_SVD(
+ tn.subscript, T,
+ tn.left_tensor, s, tn.right_tensor,
+ u_ref, s_ref, v_ref,
+ info=info, info_ref=info_ref,
+ **self.options)
-# TODO: expand tests:
-# - add truncation
-# - use config (cutoff & normalization)
@testing.parameterize(*testing.product({
- 'tn': (
- # direct algorithm, no truncation, no partition
- ('ijk,klm,jlpq->ipk,k,kqm', [(4, 2, 4), (4, 2, 4), (2, 2, 2, 2), (4, 2, 8), (8, 2, 4)]),
- ('ijk,klm,jlpq->kpi,k,qmk', [(4, 2, 4), (4, 2, 4), (2, 2, 2, 2), (8, 2, 4), (2, 4, 8)]),
- ('ijk,klm,jlpq->pki,k,mkq', [(4, 2, 4), (4, 2, 4), (2, 2, 2, 2), (2, 8, 4), (4, 8, 2)]),
- # direct algorithm, no truncation, partition onto u
- ('ijk,klm,jlpq->ipk,<,kqm', [(4, 2, 4), (4, 2, 4), (2, 2, 2, 2), (4, 2, 8), (8, 2, 4)]),
- ('ijk,klm,jlpq->kpi,<,qmk', [(4, 2, 4), (4, 2, 4), (2, 2, 2, 2), (8, 2, 4), (2, 4, 8)]),
- ('ijk,klm,jlpq->pki,<,mkq', [(4, 2, 4), (4, 2, 4), (2, 2, 2, 2), (2, 8, 4), (4, 8, 2)]),
- # direct algorithm, no truncation, partition onto v
- ('ijk,klm,jlpq->ipk,>,kqm', [(4, 2, 4), (4, 2, 4), (2, 2, 2, 2), (4, 2, 8), (8, 2, 4)]),
- ('ijk,klm,jlpq->kpi,>,qmk', [(4, 2, 4), (4, 2, 4), (2, 2, 2, 2), (8, 2, 4), (2, 4, 8)]),
- ('ijk,klm,jlpq->pki,>,mkq', [(4, 2, 4), (4, 2, 4), (2, 2, 2, 2), (2, 8, 4), (4, 8, 2)]),
- # direct algorithm, no truncation, partition onto u and v equally
- ('ijk,klm,jlpq->ipk,-,kqm', [(4, 2, 4), (4, 2, 4), (2, 2, 2, 2), (4, 2, 8), (8, 2, 4)]),
- ('ijk,klm,jlpq->kpi,-,qmk', [(4, 2, 4), (4, 2, 4), (2, 2, 2, 2), (8, 2, 4), (2, 4, 8)]),
- ('ijk,klm,jlpq->pki,-,mkq', [(4, 2, 4), (4, 2, 4), (2, 2, 2, 2), (2, 8, 4), (4, 8, 2)]),
- # reduced algorithm, no truncation, no partition
- ('ijk,klm,jlpq->->ipk,k,kqm', [(4, 2, 4), (4, 2, 4), (2, 2, 2, 2), (4, 2, 8), (8, 2, 4)]),
- ('ijk,klm,jlpq->->kpi,k,qmk', [(4, 2, 4), (4, 2, 4), (2, 2, 2, 2), (8, 2, 4), (2, 4, 8)]),
- ('ijk,klm,jlpq->->pki,k,mkq', [(4, 2, 4), (4, 2, 4), (2, 2, 2, 2), (2, 8, 4), (4, 8, 2)]),
- # reduced algorithm, no truncation, partition onto u
- ('ijk,klm,jlpq->->ipk,<,kqm', [(4, 2, 4), (4, 2, 4), (2, 2, 2, 2), (4, 2, 8), (8, 2, 4)]),
- ('ijk,klm,jlpq->->kpi,<,qmk', [(4, 2, 4), (4, 2, 4), (2, 2, 2, 2), (8, 2, 4), (2, 4, 8)]),
- ('ijk,klm,jlpq->->pki,<,mkq', [(4, 2, 4), (4, 2, 4), (2, 2, 2, 2), (2, 8, 4), (4, 8, 2)]),
- # reduced algorithm, no truncation, partition onto v
- ('ijk,klm,jlpq->->ipk,>,kqm', [(4, 2, 4), (4, 2, 4), (2, 2, 2, 2), (4, 2, 8), (8, 2, 4)]),
- ('ijk,klm,jlpq->->kpi,>,qmk', [(4, 2, 4), (4, 2, 4), (2, 2, 2, 2), (8, 2, 4), (2, 4, 8)]),
- ('ijk,klm,jlpq->->pki,>,mkq', [(4, 2, 4), (4, 2, 4), (2, 2, 2, 2), (2, 8, 4), (4, 8, 2)]),
- # reduced algorithm, no truncation, partition onto u and v equally
- ('ijk,klm,jlpq->->ipk,-,kqm', [(4, 2, 4), (4, 2, 4), (2, 2, 2, 2), (4, 2, 8), (8, 2, 4)]),
- ('ijk,klm,jlpq->->kpi,-,qmk', [(4, 2, 4), (4, 2, 4), (2, 2, 2, 2), (8, 2, 4), (2, 4, 8)]),
- ('ijk,klm,jlpq->->pki,-,mkq', [(4, 2, 4), (4, 2, 4), (2, 2, 2, 2), (2, 8, 4), (4, 8, 2)]),
- ),
+ 'tn': gate_decomp_expressions,
'dtype': (
numpy.float32, numpy.float64, numpy.complex64, numpy.complex128
),
@@ -1074,34 +963,23 @@ def test_tensor_svd(self):
{'extent': 'int', 'stride': 'int', 'mode': 'int'},
{'extent': 'seq', 'stride': 'seq', 'mode': 'seq'},
),
+ 'algo': (
+ "direct", "reduced"
+ ),
+ 'options': (
+ {}, # exact svd
+ {'max_extent': 4, 'normalization':'L1', 'partition':'U'}, # fix extent truncation
+ {'abs_cutoff': 0.1, 'rel_cutoff': 0.1}, # value based truncation
+ {'abs_cutoff': 0.1, 'normalization':'L2', 'partition':'V'}, # absolute value based truncation
+ {'rel_cutoff': 0.1, 'normalization':'LInf', 'partition':'UV'}, # relative value based truncation
+ {'max_extent': 4, 'abs_cutoff': 0.1, 'rel_cutoff': 0.1, 'normalization':'L1', 'partition':'UV'}, # compound truncation
+ ),
}))
class TestTensorGate:
-
- def _get_scalar_attr(self, handle, obj_type, obj, attr):
- if obj_type == 'config':
- dtype_getter = cutn.tensor_svd_config_get_attribute_dtype
- getter = cutn.tensor_svd_config_get_attribute
- elif obj_type == 'info':
- dtype_getter = cutn.tensor_svd_info_get_attribute_dtype
- getter = cutn.tensor_svd_info_get_attribute
- else:
- assert False
-
- dtype = dtype_getter(attr)
- data = numpy.empty((1,), dtype=dtype)
- getter(handle, obj, attr, data.ctypes.data, data.dtype.itemsize)
- return data
-
- def _set_scalar_attr(self, handle, obj_type, obj, attr, data):
- assert obj_type == 'config' # svd info has no setter
- dtype_getter = cutn.tensor_svd_config_get_attribute_dtype
- setter = cutn.tensor_svd_config_set_attribute
-
- dtype = dtype_getter(attr)
- if not isinstance(data, numpy.ndarray):
- data = numpy.asarray(data, dtype=dtype)
- setter(handle, obj, attr, data.ctypes.data, data.dtype.itemsize)
-
+
+ GATE_ALGO_MAP = {"direct": cutn.GateSplitAlgo.DIRECT,
+ "reduced": cutn.GateSplitAlgo.REDUCED}
+
# There is no easy way for us to test each API independently, so we instead
# parametrize the steps and test the whole workflow
@manage_resource('handle')
@@ -1113,8 +991,14 @@ def test_gate_split(self):
# unpack
handle, tn, workspace = self.handle, self.tn, self.workspace
tensor_in_a, tensor_in_b, tensor_in_g, tensor_u, tensor_v = self.tensor_decom
- gate_algorithm = tn.gate_algorithm
+ algo = self.algo
+ gate_algorithm = self.GATE_ALGO_MAP[algo]
svd_config, svd_info = self.svd_config, self.svd_info
+
+ # parse svdConfig
+ svd_method = check_or_create_options(tensor.SVDMethod, self.options, "SVDMethod")
+ parse_svd_config(handle, svd_config, svd_method, logger=None)
+
dtype = cupy.dtype(self.dtype)
compute_type = dtype_to_compute_type[self.dtype]
# prepare workspace
@@ -1123,75 +1007,71 @@ def test_gate_split(self):
gate_algorithm, svd_config, compute_type, workspace)
# for now host workspace is always 0, so just query device one
# also, it doesn't matter which one (min/recommended/max) is queried
- required_size = cutn.workspace_get_size(
+ required_size = cutn.workspace_get_memory_size(
handle, workspace, cutn.WorksizePref.MIN,
- cutn.Memspace.DEVICE) # TODO: parametrize memspace?
+ cutn.Memspace.DEVICE, # TODO: parametrize memspace?
+ cutn.WorkspaceKind.SCRATCH)
if required_size > 0:
workspace_ptr = cupy.cuda.alloc(required_size)
- cutn.workspace_set(
- handle, workspace, cutn.Memspace.DEVICE,
+ cutn.workspace_set_memory(
+ handle, workspace, cutn.Memspace.DEVICE, cutn.WorkspaceKind.SCRATCH,
workspace_ptr.ptr, required_size)
# round-trip check
- assert (workspace_ptr.ptr, required_size) == cutn.workspace_get(
- handle, workspace, cutn.Memspace.DEVICE)
-
- # set singular value partitioning, if requested
- if tn.mid_mode in tn.svd_partitioned:
- if tn.mid_mode == '<':
- data = cutn.TensorSVDPartition.US
- elif tn.mid_mode == '-':
- data = cutn.TensorSVDPartition.UV_EQUAL
- else: # = '<':
- data = cutn.TensorSVDPartition.SV
- self._set_scalar_attr(
- handle, 'config', svd_config,
- cutn.TensorSVDConfigAttribute.S_PARTITION,
- data)
- # do a round-trip test as a sanity check
- factor = self._get_scalar_attr(
- handle, 'config', svd_config,
- cutn.TensorSVDConfigAttribute.S_PARTITION)
- assert factor == data
+ assert (workspace_ptr.ptr, required_size) == cutn.workspace_get_memory(
+ handle, workspace, cutn.Memspace.DEVICE, cutn.WorkspaceKind.SCRATCH)
- # perform gate split
- stream = cupy.cuda.get_current_stream().ptr # TODO
- if tn.mid_mode in tn.svd_partitioned:
- s_ptr = 0
- else:
+ partition = self.options.get("partition", None)
+ if partition is None:
s = cupy.empty(tn.mid_extent, dtype=dtype.char.lower())
s_ptr = s.data.ptr
- cutn.gate_split(handle, tensor_in_a, tn.get_tensor_ptr('inputA'),
- tensor_in_b, tn.get_tensor_ptr('inputB'),
- tensor_in_g, tn.get_tensor_ptr('inputG'),
+ else:
+ s = None
+ s_ptr = 0
+
+ # perform gate split
+ stream = cupy.cuda.get_current_stream().ptr # TODO
+ cutn.gate_split(handle, tensor_in_a, tn.get_tensor_ptr('input_0'),
+ tensor_in_b, tn.get_tensor_ptr('input_1'),
+ tensor_in_g, tn.get_tensor_ptr('input_2'),
tensor_u, tn.get_tensor_ptr('left'), s_ptr,
tensor_v, tn.get_tensor_ptr('right'),
gate_algorithm, svd_config, compute_type,
svd_info, workspace, stream)
-
- # sanity checks (only valid for no truncation)
- assert tn.mid_extent == self._get_scalar_attr(
- handle, 'info', svd_info,
- cutn.TensorSVDInfoAttribute.FULL_EXTENT)
- assert tn.mid_extent == self._get_scalar_attr(
- handle, 'info', svd_info,
- cutn.TensorSVDInfoAttribute.REDUCED_EXTENT)
- assert 0 == self._get_scalar_attr(
- handle, 'info', svd_info,
- cutn.TensorSVDInfoAttribute.DISCARDED_WEIGHT)
-
- # we add a minimal correctness check here as we are not protected by
- # any high-level API yet
- if tn.mid_mode in tn.svd_partitioned:
- out = cupy.einsum(
- tn.reconstruct, tn.left_tensor, tn.right_tensor)
- else:
- out = cupy.einsum(
- tn.reconstruct, tn.left_tensor, s, tn.right_tensor)
- reference = cupy.einsum(tn.reference_einsum, tn.inputA_tensor, tn.inputB_tensor, tn.inputG_tensor)
- error = cupy.linalg.norm(out - reference)
- assert cupy.allclose(out, reference,
- rtol=rtol_mapper[dtype.name],
- atol=atol_mapper[dtype.name])
+
+ # get runtime truncation information
+ info = get_svd_info_dict(handle, svd_info)
+
+ arr_a, arr_b, arr_gate, u, v = tn.get_operands(include_inputs=True, include_outputs=True)
+
+ # update the container if reduced extent if found to be different from specified mid extent
+ extent_U_out, strides_U_out = cutn.get_tensor_details(handle, tensor_u)[2:]
+ extent_V_out, strides_V_out = cutn.get_tensor_details(handle, tensor_v)[2:]
+ reduced_extent = info['reduced_extent']
+ assert extent_U_out[tn.shared_mode_idx_left] == reduced_extent
+ assert extent_V_out[tn.shared_mode_idx_right] == reduced_extent
+ if tuple(extent_U_out) != u.shape:
+ strides_U_out = [i * u.itemsize for i in strides_U_out]
+ strides_V_out = [i * v.itemsize for i in strides_V_out]
+ tn.left_tensor = u = cupy.ndarray(extent_U_out, dtype=u.dtype, memptr=u.data, strides=strides_U_out)
+ if s is not None:
+ s = cupy.ndarray(reduced_extent, dtype=s.dtype, memptr=s.data, order='F')
+ tn.right_tensor = v = cupy.ndarray(extent_V_out, dtype=v.dtype, memptr=v.data, strides=strides_V_out)
+
+ u_ref, s_ref, v_ref, info_ref = approxTN_utils.gate_decompose(
+ tn.subscript,
+ arr_a,
+ arr_b,
+ arr_gate,
+ gate_algo=algo,
+ return_info=True,
+ **self.options)
+
+ assert approxTN_utils.verify_split_SVD(
+ tn.subscript, None,
+ u, s, v,
+ u_ref, s_ref, v_ref,
+ info=info, info_ref=info_ref,
+ **self.options)
class TestTensorSVDConfig:
@@ -1248,6 +1128,7 @@ def test_distributed(self, comm):
assert comm.Get_size() == cutn.distributed_get_num_ranks(handle)
assert comm.Get_rank() == cutn.distributed_get_proc_rank(handle)
cutn.distributed_synchronize(handle)
+ cutn.distributed_reset_configuration(handle, 0, 0) # reset
# no need to free the comm, for world/self mpi4py does it for us...
diff --git a/python/tests/cuquantum_tests/cutensornet_tests/test_experimental.py b/python/tests/cuquantum_tests/cutensornet_tests/test_experimental.py
new file mode 100644
index 0000000..cac42dc
--- /dev/null
+++ b/python/tests/cuquantum_tests/cutensornet_tests/test_experimental.py
@@ -0,0 +1,195 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
+
+import sys
+import dataclasses
+
+import cupy
+import numpy
+import opt_einsum as oe
+import pytest
+
+from cuquantum import tensor, OptimizerInfo
+from cuquantum.cutensornet.experimental import contract_decompose, ContractDecomposeAlgorithm, ContractDecomposeInfo
+from cuquantum.cutensornet.experimental._internal.utils import is_gate_split
+from cuquantum.cutensornet._internal.decomposition_utils import DECOMPOSITION_DTYPE_NAMES, parse_decomposition
+from cuquantum.cutensornet._internal.utils import infer_object_package
+
+from .approxTN_utils import split_contract_decompose, tensor_decompose, verify_split_QR, verify_split_SVD
+from .data import backend_names, contract_decompose_expr
+from .test_options import _OptionsBase
+from .test_utils import DecomposeFactory, deselect_contract_decompose_algorithm_tests, deselect_decompose_tests, gen_rand_svd_method
+from .test_utils import get_stream_for_backend
+
+
+@pytest.mark.uncollect_if(func=deselect_decompose_tests)
+@pytest.mark.parametrize(
+ "stream", (None, True)
+)
+@pytest.mark.parametrize(
+ "order", ("C", "F")
+)
+@pytest.mark.parametrize(
+ "dtype", DECOMPOSITION_DTYPE_NAMES
+)
+@pytest.mark.parametrize(
+ "xp", backend_names
+)
+@pytest.mark.parametrize(
+ "decompose_expr", contract_decompose_expr
+)
+class TestContractDecompose:
+
+ def _run_contract_decompose(self, decompose_expr, xp, dtype, order, stream, algorithm):
+ if isinstance(decompose_expr, list):
+ decompose_expr, options, optimize, kwargs = decompose_expr
+ else:
+ options, optimize, kwargs = {}, {}, {}
+ return_info = kwargs.get('return_info', True)
+ kwargs['return_info'] = return_info
+
+ factory = DecomposeFactory(decompose_expr)
+ operands = factory.generate_operands(factory.input_shapes, xp, dtype, order)
+ backend = sys.modules[infer_object_package(operands[0])]
+
+ contract_expr, decomp_expr = split_contract_decompose(decompose_expr)
+ _, input_modes, output_modes, _, _, _, max_mid_extent= parse_decomposition(decompose_expr, *operands)
+ if not is_gate_split(input_modes, output_modes, algorithm):
+ if algorithm.qr_method is not False and algorithm.svd_method is not False: # QR assisted contract SVD decomposition
+ pytest.skip("QR assisted SVD decomposition not support for more than three operands")
+
+ shared_mode_out = (set(output_modes[0]) & set(output_modes[1])).pop()
+ shared_mode_idx_left = output_modes[0].index(shared_mode_out)
+ shared_mode_idx_right = output_modes[1].index(shared_mode_out)
+
+ if stream:
+ stream = get_stream_for_backend(backend)
+ outputs = contract_decompose(decompose_expr, *operands,
+ algorithm=algorithm, stream=stream, options=options, optimize=optimize, **kwargs)
+
+ if stream:
+ stream.synchronize()
+
+ #NOTE: The reference here is based on splitting the contract_decompose problem into two sub-problems
+ # - 1. contraction. The reference is based on opt_einsum contract
+ # - 2. decomposition. The reference is based on tensor_decompose in approxTN_utils
+ # note that a naive reference implementation here may not find the optimal reduce extent, for example:
+ # A[x,y] B[y,z] with input extent x=4, y=2, z=4 -> contract QR decompose -> A[x,k]B[k,z] .
+ # When naively applying the direct algorithm above, the mid extent k in the output will be 2.
+ # This case is already consider in contract_decompose. Here make following modifications for correctness testing
+ # For contract and QR decompose, we check the output extent is correct
+ # For contract and SVD decompose, we inject this mid_extent in the args to the reference implementation when needed.
+ intm = oe.contract(contract_expr, *operands)
+
+ if algorithm.svd_method is False:
+ if return_info:
+ q, r, info = outputs
+ assert isinstance(info, ContractDecomposeInfo)
+ else:
+ q, r = outputs
+ assert type(q) is type(r)
+ assert type(q) is type(operands[0])
+ assert q.shape[shared_mode_idx_left] == max_mid_extent
+ assert r.shape[shared_mode_idx_right] == max_mid_extent
+ assert verify_split_QR(decomp_expr, intm, q, r, None, None)
+ else:
+ svd_kwargs = dataclasses.asdict(algorithm.svd_method)
+ max_extent = svd_kwargs.get('max_extent')
+ if max_extent in [0, None] or max_extent > max_mid_extent:
+ svd_kwargs['max_extent'] = max_mid_extent
+ outputs_ref = tensor_decompose(decomp_expr, intm, method="svd", return_info=return_info, **svd_kwargs)
+ if return_info:
+ u, s, v, info = outputs
+ assert isinstance(info, ContractDecomposeInfo)
+ u_ref, s_ref, v_ref, info_ref = outputs_ref
+ info = info.svd_info
+ assert isinstance(info, tensor.SVDInfo)
+ info = dataclasses.asdict(info)
+ else:
+ u, s, v = outputs
+ u_ref, s_ref, v_ref = outputs_ref
+ info = info_ref = None
+ assert type(u) is type(v)
+ assert type(u) is type(operands[0])
+ if algorithm.svd_method.partition is None:
+ assert type(u) is type(s)
+ else:
+ assert s is None
+ assert verify_split_SVD(decomp_expr,
+ intm,
+ u, s, v,
+ u_ref, s_ref, v_ref,
+ info=info,
+ info_ref=info_ref,
+ **svd_kwargs)
+
+
+ def test_contract_qr_decompose(self, decompose_expr, xp, dtype, order, stream):
+ algorithm = ContractDecomposeAlgorithm(qr_method={}, svd_method=False)
+ self._run_contract_decompose(decompose_expr, xp, dtype, order, stream, algorithm)
+
+
+ @pytest.mark.parametrize(
+ "svd_method_seed", (None, 0, 1, 2)
+ )
+ def test_contract_svd_decompose(self, decompose_expr, xp, dtype, order, stream, svd_method_seed):
+ svd_method = gen_rand_svd_method(seed=svd_method_seed)
+ algorithm = ContractDecomposeAlgorithm(qr_method=False, svd_method=svd_method)
+ self._run_contract_decompose(decompose_expr, xp, dtype, order, stream, algorithm)
+
+
+ @pytest.mark.parametrize(
+ "svd_method_seed", (None, 0, 1, 2)
+ )
+ def test_contract_qr_assisted_svd_decompose(self, decompose_expr, xp, dtype, order, stream, svd_method_seed):
+ svd_method = gen_rand_svd_method(seed=svd_method_seed)
+ algorithm = ContractDecomposeAlgorithm(qr_method={}, svd_method=svd_method)
+ self._run_contract_decompose(decompose_expr, xp, dtype, order, stream, algorithm)
+
+
+class TestContractDecomposeAlgorithm(_OptionsBase):
+
+ options_type = ContractDecomposeAlgorithm
+
+ @pytest.mark.uncollect_if(func=deselect_contract_decompose_algorithm_tests)
+ @pytest.mark.parametrize(
+ 'svd_method', [False, {}, tensor.SVDMethod()]
+ )
+ @pytest.mark.parametrize(
+ 'qr_method', [False, {}]
+ )
+ def test_contract_decompose_algorithm(self, qr_method, svd_method):
+ self.create_options({'qr_method': qr_method, 'svd_method': svd_method})
+
+
+class TestContractDecomposeInfo(_OptionsBase):
+
+ options_type = ContractDecomposeInfo
+
+ # Not all fields are optional so we test them all at once
+ @pytest.mark.uncollect_if(func=deselect_contract_decompose_algorithm_tests)
+ @pytest.mark.parametrize(
+ 'optimizer_info', [None, OptimizerInfo(largest_intermediate=100.0,
+ opt_cost=100.0,
+ path=[(0, 1), (0, 1)],
+ slices=[("a", 4), ("b", 3)],
+ num_slices=10,
+ intermediate_modes=[(1, 3), (2, 4)])]
+ )
+ @pytest.mark.parametrize(
+ 'svd_info', [None, tensor.SVDInfo(reduced_extent=2, full_extent=4, discarded_weight=0.01)]
+ )
+ @pytest.mark.parametrize(
+ 'svd_method', [False, {}, tensor.SVDMethod()]
+ )
+ @pytest.mark.parametrize(
+ 'qr_method', [False, {}]
+ )
+ def test_contract_decompose_info(self, qr_method, svd_method, svd_info, optimizer_info):
+ self.create_options({
+ "qr_method": qr_method,
+ "svd_method": svd_method,
+ "svd_info": svd_info,
+ "optimizer_info": optimizer_info,
+ })
diff --git a/python/tests/cuquantum_tests/cutensornet_tests/test_network.py b/python/tests/cuquantum_tests/cutensornet_tests/test_network.py
index 2b5f610..4b40cbb 100644
--- a/python/tests/cuquantum_tests/cutensornet_tests/test_network.py
+++ b/python/tests/cuquantum_tests/cutensornet_tests/test_network.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
@@ -20,6 +20,7 @@
from .test_utils import check_intermediate_modes
from .test_utils import compute_and_normalize_numpy_path
from .test_utils import deselect_contract_tests
+from .test_utils import get_stream_for_backend
from .test_utils import set_path_to_optimizer_options
@@ -64,10 +65,7 @@ def test_network(
backend = sys.modules[infer_object_package(operands[0])]
data = factory.convert_by_format(operands)
if stream:
- if backend is numpy:
- stream = cupy.cuda.Stream() # implementation detail
- else:
- stream = backend.cuda.Stream()
+ stream = get_stream_for_backend(backend)
tn = Network(*data, options=network_opts)
# We already test tn as a context manager in the samples, so let's test
@@ -79,7 +77,7 @@ def test_network(
assert uninit_f_str.search(str(info)) is None
check_intermediate_modes(
info.intermediate_modes, factory.input_modes,
- factory.output_modes, path)
+ factory.output_modes[0], path)
else:
try:
path_ref = compute_and_normalize_numpy_path(
diff --git a/python/tests/cuquantum_tests/cutensornet_tests/test_options.py b/python/tests/cuquantum_tests/cutensornet_tests/test_options.py
index 19f42f3..9f4079f 100644
--- a/python/tests/cuquantum_tests/cutensornet_tests/test_options.py
+++ b/python/tests/cuquantum_tests/cutensornet_tests/test_options.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/tests/cuquantum_tests/cutensornet_tests/test_tensor.py b/python/tests/cuquantum_tests/cutensornet_tests/test_tensor.py
new file mode 100644
index 0000000..2272fa8
--- /dev/null
+++ b/python/tests/cuquantum_tests/cutensornet_tests/test_tensor.py
@@ -0,0 +1,144 @@
+# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES
+#
+# SPDX-License-Identifier: BSD-3-Clause
+
+import sys
+
+import cupy
+import dataclasses
+import numpy
+import pytest
+
+from cuquantum import tensor
+from cuquantum.cutensornet._internal.decomposition_utils import DECOMPOSITION_DTYPE_NAMES
+from cuquantum.cutensornet._internal.utils import infer_object_package
+
+from .approxTN_utils import tensor_decompose, verify_split_QR, verify_split_SVD
+from .data import backend_names, tensor_decomp_expressions
+from .test_options import _OptionsBase, TestNetworkOptions
+from .test_utils import DecomposeFactory
+from .test_utils import deselect_decompose_tests, gen_rand_svd_method
+from .test_utils import get_stream_for_backend
+
+
+@pytest.mark.uncollect_if(func=deselect_decompose_tests)
+@pytest.mark.parametrize(
+ "stream", (None, True)
+)
+@pytest.mark.parametrize(
+ "order", ("C", "F")
+)
+@pytest.mark.parametrize(
+ "dtype", DECOMPOSITION_DTYPE_NAMES
+)
+@pytest.mark.parametrize(
+ "xp", backend_names
+)
+@pytest.mark.parametrize(
+ "decompose_expr", list(set([expr[0] for expr in tensor_decomp_expressions])) # filter out duplicated expressions
+)
+class TestDecompose:
+
+ def _run_decompose(self, decompose_expr, xp, dtype, order, stream, method, **kwargs):
+ factory = DecomposeFactory(decompose_expr)
+ operand = factory.generate_operands(factory.input_shapes, xp, dtype, order)[0]
+ backend = sys.modules[infer_object_package(operand)]
+
+ if stream:
+ stream = get_stream_for_backend(backend)
+
+ return_info = kwargs.pop("return_info", False)
+ outputs = tensor.decompose(decompose_expr,
+ operand,
+ method=method,
+ return_info=return_info,
+ stream=stream)
+ if stream:
+ stream.synchronize()
+
+ if isinstance(method, tensor.QRMethod):
+ q, r = outputs
+ assert type(q) is type(r)
+ assert type(q) is type(operand)
+ assert verify_split_QR(decompose_expr, operand, q, r, None, None)
+ elif isinstance(method, tensor.SVDMethod):
+ svd_kwargs = dataclasses.asdict(method)
+ outputs_ref = tensor_decompose(decompose_expr, operand, method="svd", return_info=return_info, **svd_kwargs)
+ if return_info:
+ u, s, v, info = outputs
+ u_ref, s_ref, v_ref, info_ref = outputs_ref
+ assert isinstance(info, tensor.SVDInfo)
+ info = dataclasses.asdict(info)
+ else:
+ u, s, v = outputs
+ u_ref, s_ref, v_ref = outputs_ref
+ info = None
+ info_ref = None
+
+ assert type(u) is type(v)
+ assert type(u) is type(operand)
+ if method.partition is None:
+ assert type(u) is type(s)
+ else:
+ assert s is None
+
+ assert verify_split_SVD(decompose_expr,
+ operand,
+ u, s, v,
+ u_ref, s_ref, v_ref,
+ info=info,
+ info_ref=info_ref,
+ **svd_kwargs)
+
+ def test_qr(self, decompose_expr, xp, dtype, order, stream):
+ self._run_decompose(decompose_expr, xp, dtype, order, stream, tensor.QRMethod())
+
+ @pytest.mark.parametrize(
+ "svd_method_seed", (None, 0, 1, 2)
+ )
+ @pytest.mark.parametrize(
+ "return_info", (False, True)
+ )
+ def test_svd(self, decompose_expr, xp, dtype, order, stream, return_info, svd_method_seed):
+ method = gen_rand_svd_method(seed=svd_method_seed)
+ self._run_decompose(decompose_expr, xp, dtype, order, stream, method, return_info=return_info)
+
+
+class TestDecompositionOptions(TestNetworkOptions):
+
+ options_type = tensor.DecompositionOptions
+
+
+class TestSVDMethod(_OptionsBase):
+
+ options_type = tensor.SVDMethod
+
+ def test_max_extent(self):
+ self.create_options({'max_extent': 6})
+
+ def test_abs_cutoff(self):
+ self.create_options({'abs_cutoff': 0.2})
+
+ def test_rel_cutoff(self):
+ self.create_options({'rel_cutoff': 0.1})
+
+ @pytest.mark.parametrize(
+ 'partition', [None, 'U', 'V', 'UV']
+ )
+ def test_partition(self, partition):
+ self.create_options({'partition': partition})
+
+ @pytest.mark.parametrize(
+ 'normalization', [None, 'L1', 'L2', 'LInf']
+ )
+ def test_normalization(self, normalization):
+ self.create_options({'normalization': normalization})
+
+
+class TestSVDInfo(_OptionsBase):
+
+ options_type = tensor.SVDInfo
+
+ # All fields are required. Therefore we test them all at once.
+ def test_svd_info(self):
+ self.create_options({'reduced_extent': 6, 'full_extent': 8, 'discarded_weight': 0.02})
diff --git a/python/tests/cuquantum_tests/cutensornet_tests/test_utils.py b/python/tests/cuquantum_tests/cutensornet_tests/test_utils.py
index 756dd3a..9ee56b4 100644
--- a/python/tests/cuquantum_tests/cutensornet_tests/test_utils.py
+++ b/python/tests/cuquantum_tests/cutensornet_tests/test_utils.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
@@ -14,6 +14,7 @@
torch = None
from cuquantum import OptimizerOptions
+from cuquantum import tensor
from cuquantum.cutensornet._internal.circuit_converter_utils import EINSUM_SYMBOLS_BASE
from cuquantum.cutensornet._internal.einsum_parser import infer_output_mode_labels
@@ -141,25 +142,22 @@ def check_intermediate_modes(
assert set(output_modes) == set(intermediate_modes[-1])
-class EinsumFactory:
+class ExpressionFactory:
"""Take a valid einsum expression and compute shapes, modes, etc for testing."""
size_dict = dict(zip(EINSUM_SYMBOLS_BASE, (2, 3, 4)*18))
- def __init__(self, einsum_expr):
- self.einsum_expr = einsum_expr
- self.einsum_format = self._decide_format(einsum_expr)
- self._modes = None
-
- def _decide_format(self, einsum_expr):
- # this is a helper solely for testing purpose
- if isinstance(einsum_expr, str):
- einsum_format = "subscript"
- elif isinstance(einsum_expr, tuple):
- einsum_format = "interleaved"
+ def __init__(self, expression):
+ self.expr = expression
+ if isinstance(expression, str):
+ self.expr_format = "subscript"
+ elif isinstance(expression, tuple):
+ self.expr_format = "interleaved"
else:
assert False
- return einsum_format
+ self._modes = None
+ self._num_inputs = 0
+ self._num_outputs = 0
def _gen_shape(self, modes):
shape = []
@@ -185,7 +183,15 @@ def _gen_shape(self, modes):
shape.insert(ellipsis, 5)
return shape
-
+
+ @property
+ def num_inputs(self):
+ return self._num_inputs
+
+ @property
+ def num_outputs(self):
+ return self._num_outputs
+
@property
def input_shapes(self):
out = []
@@ -202,33 +208,15 @@ def output_shape(self):
@property
def modes(self):
- if self._modes is None:
- if self.einsum_format == "subscript":
- if "->" in self.einsum_expr:
- inputs, output = self.einsum_expr.split("->")
- inputs = inputs.split(",")
- else:
- inputs = self.einsum_expr
- inputs = inputs.split(",")
- output = infer_output_mode_labels(inputs)
- else:
- # output could be a placeholder
- inputs = self.einsum_expr[:-1]
- if self.einsum_expr[-1] is None:
- output = infer_output_mode_labels(inputs)
- else:
- output = self.einsum_expr[-1]
-
- self._modes = tuple(inputs) + tuple([output])
- return self._modes
+ raise NotImplementedError
@property
def input_modes(self):
- return self.modes[:-1]
+ return self.modes[:self.num_inputs]
@property
def output_modes(self):
- return self.modes[-1]
+ return self.modes[self.num_inputs:]
def generate_operands(self, shapes, xp, dtype, order):
# we always generate data from shaped_random as CuPy fixes
@@ -252,22 +240,94 @@ def generate_operands(self, shapes, xp, dtype, order):
return operands
+
+class EinsumFactory(ExpressionFactory):
+ """Take a valid einsum expression and compute shapes, modes, etc for testing."""
+
+ @property
+ def modes(self):
+ if self._modes is None:
+ if self.expr_format == "subscript":
+ if "->" in self.expr:
+ inputs, output = self.expr.split("->")
+ inputs = inputs.split(",")
+ else:
+ inputs = self.expr.split(",")
+ output = infer_output_mode_labels(inputs)
+ else:
+ # output could be a placeholder
+ inputs = self.expr[:-1]
+ if self.expr[-1] is None:
+ output = infer_output_mode_labels(inputs)
+ else:
+ output = self.expr[-1]
+ self._num_inputs = len(inputs)
+ self._num_outputs = 1
+ self._modes = tuple(inputs) + tuple([output])
+ return self._modes
+
def convert_by_format(self, operands, *, dummy=False):
if dummy:
# create dummy NumPy arrays to bypass the __array_function__
# dispatcher, see numpy/numpy#21379 for discussion
operands = [numpy.broadcast_to(0, arr.shape) for arr in operands]
- if self.einsum_format == "subscript":
- data = [self.einsum_expr, *operands]
- elif self.einsum_format == "interleaved":
+ if self.expr_format == "subscript":
+ data = [self.expr, *operands]
+ elif self.expr_format == "interleaved":
modes = [tuple(modes) for modes in self.input_modes]
data = [i for pair in zip(operands, modes) for i in pair]
- data.append(tuple(self.output_modes))
+ data.append(tuple(self.output_modes[0]))
return data
+class DecomposeFactory(ExpressionFactory):
+
+ @property
+ def modes(self):
+ if self._modes is None:
+ if self.expr_format == "subscript":
+ if "->" in self.expr:
+ inputs, outputs = self.expr.split("->")
+ inputs = inputs.split(",")
+ outputs = outputs.split(",")
+ self._num_inputs = len(inputs)
+ self._num_outputs = len(outputs)
+ self._modes = tuple(inputs) + tuple(outputs)
+ else:
+ raise ValueError("output tensor must be explicitly specified for decomposition")
+ else:
+ raise ValueError("decomposition does not support interleave format")
+
+ return self._modes
+
+def gen_rand_svd_method(seed=None):
+ if seed is None:
+ return tensor.SVDMethod()
+ else:
+ numpy.random.seed(seed)
+ method = {"max_extent": numpy.random.randint(1, high=6),
+ "abs_cutoff": numpy.random.random() / 2.0, # [0, 0.5)
+ "rel_cutoff": numpy.random.random() / 2.0, # [0, 0.5)
+ "normalization": numpy.random.choice([None, "L1", "L2", "LInf"]),
+ "partition": numpy.random.choice([None, "U", "V", "UV"])}
+ return tensor.SVDMethod(**method)
+
+
+
+# We want to avoid fragmenting the stream-ordered mempools
+_predefined_streams = {
+ numpy: cupy.cuda.Stream(), # implementation detail
+ cupy: cupy.cuda.Stream(),
+}
+if torch is not None:
+ _predefined_streams[torch] = torch.cuda.Stream()
+
+def get_stream_for_backend(backend):
+ return _predefined_streams[backend]
+
+
# We use the pytest marker hook to deselect/ignore collected tests
# that we do not want to run. This is better than showing a ton of
# tests as "skipped" at the end, since technically they never get
@@ -279,8 +339,22 @@ def deselect_contract_tests(
einsum_expr_pack, xp, dtype, *args, **kwargs):
if xp.startswith('torch') and torch is None:
return True
+ if xp == 'torch-cpu' and dtype == 'float16':
+ # float16 only implemented for gpu
+ return True
if isinstance(einsum_expr_pack, list):
_, _, _, overwrite_dtype = einsum_expr_pack
if dtype != overwrite_dtype:
return True
return False
+
+def deselect_decompose_tests(
+ decompose_expr, xp, dtype, *args, **kwargs):
+ if xp.startswith('torch') and torch is None:
+ return True
+ return False
+
+def deselect_contract_decompose_algorithm_tests(qr_method, svd_method, *args, **kwargs):
+ if qr_method is False and svd_method is False: # not a valid algorithm
+ return True
+ return False
diff --git a/python/tests/cuquantum_tests/test_cuquantum.py b/python/tests/cuquantum_tests/test_cuquantum.py
index 3214a9c..9845cf8 100644
--- a/python/tests/cuquantum_tests/test_cuquantum.py
+++ b/python/tests/cuquantum_tests/test_cuquantum.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/tests/samples_tests/__init__.py b/python/tests/samples_tests/__init__.py
index c08f9b5..f9634d8 100644
--- a/python/tests/samples_tests/__init__.py
+++ b/python/tests/samples_tests/__init__.py
@@ -1,3 +1,3 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/tests/samples_tests/custatevec_tests/test_custatevec_samples.py b/python/tests/samples_tests/custatevec_tests/test_custatevec_samples.py
index 3c458eb..0f73ec2 100644
--- a/python/tests/samples_tests/custatevec_tests/test_custatevec_samples.py
+++ b/python/tests/samples_tests/custatevec_tests/test_custatevec_samples.py
@@ -1,9 +1,10 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
import glob
import os
+import re
import pytest
@@ -14,6 +15,10 @@
os.path.dirname(__file__), '..', '..', '..', 'samples', 'custatevec')
sample_files = glob.glob(samples_path+'**/*.py', recursive=True)
+# Handle MPI tests separately.
+mpi_re = r".*_mpi[_]?.*\.py"
+sample_files = list(filter(lambda f: not re.search(mpi_re, f), sample_files))
+
@pytest.mark.parametrize(
'sample', sample_files
diff --git a/python/tests/samples_tests/cutensornet_tests/test_cutensornet_samples.py b/python/tests/samples_tests/cutensornet_tests/test_cutensornet_samples.py
index 46d4045..df4b0cb 100644
--- a/python/tests/samples_tests/cutensornet_tests/test_cutensornet_samples.py
+++ b/python/tests/samples_tests/cutensornet_tests/test_cutensornet_samples.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/python/tests/samples_tests/test_utils.py b/python/tests/samples_tests/test_utils.py
index 7d0ea7f..b8fa1ed 100644
--- a/python/tests/samples_tests/test_utils.py
+++ b/python/tests/samples_tests/test_utils.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES
+# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES
#
# SPDX-License-Identifier: BSD-3-Clause
diff --git a/samples/custatevec/CMakeLists.txt b/samples/custatevec/CMakeLists.txt
index 3b59879..04a8e1c 100644
--- a/samples/custatevec/CMakeLists.txt
+++ b/samples/custatevec/CMakeLists.txt
@@ -111,7 +111,7 @@ function(add_custatevec_example GROUP_TARGET EXAMPLE_NAME EXAMPLE_SOURCES)
install(
TARGETS ${EXAMPLE_TARGET}
RUNTIME
- DESTINATION ${CUSTATEVEC_EXAMPLE_BINARY_INSTALL_DIR}
+ DESTINATION test
PERMISSIONS OWNER_EXECUTE OWNER_WRITE OWNER_READ GROUP_EXECUTE GROUP_READ WORLD_EXECUTE WORLD_READ
)
add_dependencies(${GROUP_TARGET} ${EXAMPLE_TARGET})
diff --git a/samples/custatevec/accessor_get.cu b/samples/custatevec/accessor_get.cu
index e9f90d7..43960db 100644
--- a/samples/custatevec/accessor_get.cu
+++ b/samples/custatevec/accessor_get.cu
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES.
*
* SPDX-License-Identifier: BSD-3-Clause
*/
diff --git a/samples/custatevec/accessor_set.cu b/samples/custatevec/accessor_set.cu
index 25f65ea..3649a23 100644
--- a/samples/custatevec/accessor_set.cu
+++ b/samples/custatevec/accessor_set.cu
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES.
*
* SPDX-License-Identifier: BSD-3-Clause
*/
diff --git a/samples/custatevec/batch_measure.cu b/samples/custatevec/batch_measure.cu
index 594e826..2133d84 100644
--- a/samples/custatevec/batch_measure.cu
+++ b/samples/custatevec/batch_measure.cu
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES.
*
* SPDX-License-Identifier: BSD-3-Clause
*/
diff --git a/samples/custatevec/diagonal_matrix.cu b/samples/custatevec/diagonal_matrix.cu
index ce84ed0..c420884 100644
--- a/samples/custatevec/diagonal_matrix.cu
+++ b/samples/custatevec/diagonal_matrix.cu
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES.
*
* SPDX-License-Identifier: BSD-3-Clause
*/
diff --git a/samples/custatevec/expectation.cu b/samples/custatevec/expectation.cu
index 5f3384e..2191050 100644
--- a/samples/custatevec/expectation.cu
+++ b/samples/custatevec/expectation.cu
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES.
*
* SPDX-License-Identifier: BSD-3-Clause
*/
diff --git a/samples/custatevec/expectation_pauli.cu b/samples/custatevec/expectation_pauli.cu
index 35d71e7..f78a65d 100644
--- a/samples/custatevec/expectation_pauli.cu
+++ b/samples/custatevec/expectation_pauli.cu
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES.
*
* SPDX-License-Identifier: BSD-3-Clause
*/
diff --git a/samples/custatevec/exponential_pauli.cu b/samples/custatevec/exponential_pauli.cu
index 4b90314..b521e61 100644
--- a/samples/custatevec/exponential_pauli.cu
+++ b/samples/custatevec/exponential_pauli.cu
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES.
*
* SPDX-License-Identifier: BSD-3-Clause
*/
diff --git a/samples/custatevec/gate_application.cu b/samples/custatevec/gate_application.cu
index 1801134..9df4b8a 100644
--- a/samples/custatevec/gate_application.cu
+++ b/samples/custatevec/gate_application.cu
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES.
*
* SPDX-License-Identifier: BSD-3-Clause
*/
diff --git a/samples/custatevec/helper.hpp b/samples/custatevec/helper.hpp
index 59fdbc3..3b0f8e7 100644
--- a/samples/custatevec/helper.hpp
+++ b/samples/custatevec/helper.hpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES.
*
* SPDX-License-Identifier: BSD-3-Clause
*/
diff --git a/samples/custatevec/measure_zbasis.cu b/samples/custatevec/measure_zbasis.cu
index 5fabb57..81b355e 100644
--- a/samples/custatevec/measure_zbasis.cu
+++ b/samples/custatevec/measure_zbasis.cu
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES.
*
* SPDX-License-Identifier: BSD-3-Clause
*/
diff --git a/samples/custatevec/memory_handler.cu b/samples/custatevec/memory_handler.cu
index 3edd58f..025d566 100644
--- a/samples/custatevec/memory_handler.cu
+++ b/samples/custatevec/memory_handler.cu
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES.
*
* SPDX-License-Identifier: BSD-3-Clause
*/
diff --git a/samples/custatevec/mgpu_batch_measure.cu b/samples/custatevec/mgpu_batch_measure.cu
index d30ec3d..61594ea 100644
--- a/samples/custatevec/mgpu_batch_measure.cu
+++ b/samples/custatevec/mgpu_batch_measure.cu
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES.
*
* SPDX-License-Identifier: BSD-3-Clause
*/
diff --git a/samples/custatevec/mgpu_sampler.cu b/samples/custatevec/mgpu_sampler.cu
index d9609ee..200e0f4 100644
--- a/samples/custatevec/mgpu_sampler.cu
+++ b/samples/custatevec/mgpu_sampler.cu
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES.
*
* SPDX-License-Identifier: BSD-3-Clause
*/
diff --git a/samples/custatevec/mgpu_swap_index_bits.cu b/samples/custatevec/mgpu_swap_index_bits.cu
index d285b4f..81675a2 100644
--- a/samples/custatevec/mgpu_swap_index_bits.cu
+++ b/samples/custatevec/mgpu_swap_index_bits.cu
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES.
*
* SPDX-License-Identifier: BSD-3-Clause
*/
diff --git a/samples/custatevec/permutation_matrix.cu b/samples/custatevec/permutation_matrix.cu
index 1012f9e..359b425 100644
--- a/samples/custatevec/permutation_matrix.cu
+++ b/samples/custatevec/permutation_matrix.cu
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES.
*
* SPDX-License-Identifier: BSD-3-Clause
*/
diff --git a/samples/custatevec/sampler.cu b/samples/custatevec/sampler.cu
index dabb4f3..eb04fe2 100644
--- a/samples/custatevec/sampler.cu
+++ b/samples/custatevec/sampler.cu
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES.
*
* SPDX-License-Identifier: BSD-3-Clause
*/
diff --git a/samples/custatevec/samples_mpi/Makefile b/samples/custatevec/samples_mpi/Makefile
new file mode 100644
index 0000000..24b1563
--- /dev/null
+++ b/samples/custatevec/samples_mpi/Makefile
@@ -0,0 +1,64 @@
+# SPDX-FileCopyrightText: Copyright (c) 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: BSD-3-Clause
+#
+# Redistribution and use in source and binary forms, with or without
+# modification, are permitted provided that the following conditions are met:
+#
+# 1. Redistributions of source code must retain the above copyright notice, this
+# list of conditions and the following disclaimer.
+#
+# 2. Redistributions in binary form must reproduce the above copyright notice,
+# this list of conditions and the following disclaimer in the documentation
+# and/or other materials provided with the distribution.
+#
+# 3. Neither the name of the copyright holder nor the names of its
+# contributors may be used to endorse or promote products derived from
+# this software without specific prior written permission.
+#
+# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+#
+
+CUDA_TOOLKIT := $(shell realpath $$(dirname $$(command -v nvcc))/..)
+CUSTATEVEC_ROOT ?= ${CUQUANTUM_ROOT}
+
+CXXFLAGS=-Wall
+
+has_ompiinfo:=$(shell which ompi_info > /dev/null; echo $$?)
+ifeq ($(has_ompiinfo), 0)
+ CXX=$(shell mpicxx --showme:command)
+ ompi_incdirs := $(shell mpicxx --showme:incdirs)
+ MPI_INCLUDES=$(addprefix -I, $(ompi_incdirs))
+ MPI_LINKER_FLAGS := $(shell mpicxx --showme:link)
+endif
+
+has_mpichversion:=$(shell which mpichversion > /dev/null; echo $$?)
+ifeq ($(has_mpichversion), 0)
+ CXX := $(shell mpicxx -link_info | cut -c -4)
+ MPI_LINKER_FLAGS := $(shell mpicxx -link_info | cut -c 5-)
+endif
+
+INCLUDE_DIRS := $(MPI_INCLUDES) -I$(CUDA_TOOLKIT)/include -I$(CUSTATEVEC_ROOT)/include
+LIBRARY_DIRS := -L$(CUSTATEVEC_ROOT)/lib64 -L$(CUSTATEVEC_ROOT)/lib -L$(CUDA_TOOLKIT)/lib64
+LINKER_FLAGS := $(MPI_LINKER_FLAGS) ${LIBRARY_DIRS} -lcustatevec -lcudart
+
+all: distributedIndexBitSwap mpicomm.so
+
+distributedIndexBitSwap: distributedIndexBitSwap.cpp
+ $(CXX) $(INCLUDE_DIRS) $(CXXFLAGS) $< $(LINKER_FLAGS) -o $@
+
+mpicomm.so: mpicomm.c
+ $(CXX) $(INCLUDE_DIRS) $(CXXFLAGS) -fPIC -shared $< $(MPI_LINKER_FLAGS) -o $@
+
+.PHONY:
+
+clean:
+ rm -f distributedIndexBitSwap mpicomm.so
diff --git a/samples/custatevec/samples_mpi/README.md b/samples/custatevec/samples_mpi/README.md
new file mode 100644
index 0000000..397766c
--- /dev/null
+++ b/samples/custatevec/samples_mpi/README.md
@@ -0,0 +1,31 @@
+# Distributed index bit swap - Samples
+
+# Build
+
+## Linux
+
+Plase use make to compile the cuStateVec samples. Options for CUSTATEVEC_ROOT can be skipped if cuStateVec is in the CUDA installation folder.
+
+With make
+
+```
+export CUSTATEVEC_ROOT=
+make
+```
+
+## Run
+
+```
+mpirun -n 2 ./distributedIndexBitSwap
+```
+
+## Files
+
+- distributedIndexBitSwap.cpp
+
+ Example for the utilization of distributed index bit swap API
+
+- mpicomm.c
+
+ Example of the external communicator
+
diff --git a/samples/custatevec/samples_mpi/distributedIndexBitSwap.cpp b/samples/custatevec/samples_mpi/distributedIndexBitSwap.cpp
new file mode 100644
index 0000000..c1d6ca9
--- /dev/null
+++ b/samples/custatevec/samples_mpi/distributedIndexBitSwap.cpp
@@ -0,0 +1,421 @@
+/*
+ * SPDX-FileCopyrightText: Copyright (c) 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-License-Identifier: BSD-3-Clause
+ *
+ * Redistribution and use in source and binary forms, with or without
+ * modification, are permitted provided that the following conditions are met:
+ *
+ * 1. Redistributions of source code must retain the above copyright notice, this
+ * list of conditions and the following disclaimer.
+ *
+ * 2. Redistributions in binary form must reproduce the above copyright notice,
+ * this list of conditions and the following disclaimer in the documentation
+ * and/or other materials provided with the distribution.
+ *
+ * 3. Neither the name of the copyright holder nor the names of its
+ * contributors may be used to endorse or promote products derived from
+ * this software without specific prior written permission.
+ *
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+ * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+ * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+ * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+ * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+ * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+ * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ */
+
+#include // custatevec
+#include // MPI
+#include // std::vector<>
+#include // struct timeval
+#include // gettimeofday()
+#include // printf()
+#include // std::pow()
+
+
+static char procname[256];
+
+//
+// err handler
+//
+
+bool hasFailed(bool res, const char** errmsg)
+{
+ if (res) return false;
+ *errmsg = "res == false";
+ return true;
+}
+
+bool hasFailed(int res, const char** errmsg)
+{
+ if (res == 0) return false;
+ *errmsg = "res != 0";
+ return true;
+}
+
+bool hasFailed(cudaError_t cuerr, const char** errmsg)
+{
+ if (cuerr == cudaSuccess) return false;
+ *errmsg = cudaGetErrorName(cuerr);
+ return true;
+}
+
+bool hasFailed(custatevecStatus_t status, const char** errmsg)
+{
+ if (status == CUSTATEVEC_STATUS_SUCCESS) return false;
+ *errmsg = custatevecGetErrorName(status);
+ return true;
+}
+
+template
+void errChk(R res, const char* text, const char* file, unsigned long line)
+{
+ const char* errmsg = nullptr;
+ if (hasFailed(res, &errmsg))
+ {
+ fprintf(stderr, "(%s) %s:%lu: %s %s\n", procname, file, line,
+ errmsg, text);
+ fflush(stderr);
+ MPI_Abort(MPI_COMM_WORLD, 5);
+ }
+}
+
+#define ERRCHK(s) errChk((s), #s, __FILE__, __LINE__)
+
+
+// time measurement
+
+double getTime()
+{
+ struct timeval tv;
+ gettimeofday(&tv, nullptr);
+ return tv.tv_sec + tv.tv_usec * 1.e-6;
+}
+
+
+void runDistributedIndexBitSwaps(
+ int rank, int size, int nGlobalIndexBits, int nLocalIndexBits,
+ const std::vector& indexBitSwaps,
+ const std::vector& maskBitString, const std::vector& maskOrdering)
+{
+ if (rank == 0)
+ {
+ printf("index bit swaps [ ");
+ for (const auto& bitSwap : indexBitSwaps)
+ printf("(%d,%d) ", bitSwap.x, bitSwap.y);
+ printf("], mask bit string [ ");
+ for (const auto& maskBit : maskBitString)
+ printf("%d ", maskBit);
+ printf("], mask ordering [ ");
+ for (const auto& maskPos : maskOrdering)
+ printf("%d ", maskPos);
+ printf("]\n");
+ }
+
+ // Data type of the state vector, acceptable values are CUDA_C_32F and CUDA_C_64F.
+ cudaDataType_t svDataType = CUDA_C_64F;
+ // the number of index bits corresponding to sub state vectors accessible via GPUDirect P2P,
+ // and it should be adjusted based on the number of GPUs/node, N, participating in the distributed
+ // state vector (N=2^nP2PDeviceBits) that supports P2P data transfer
+ int nP2PDeviceBits = 0;
+ int nSubSVsP2P = 1 << nP2PDeviceBits;
+
+ // use rank and size to map sub state vectors
+ // this sample assigns one device to one rank and allocates one sub state vector on the assigned device
+ // use the rank as the index of the sub state vector locally allocated in this process
+ int orgSubSVIndex = rank;
+ // the number of sub state vectors is identical to the number of processes
+ int nSubSVs = size;
+
+ // data size
+ size_t dataSize = (svDataType == CUDA_C_64F) ? 16 : 8;
+
+ // transfer workspace size
+ size_t transferWorkspaceSize = size_t(1) << 26;
+
+ //
+ // allocate local sub state vector, stream and event
+ //
+ void* d_orgSubSV = nullptr;
+ cudaStream_t localStream = nullptr;
+ cudaEvent_t localEvent = nullptr;
+
+ // bind the device to the process
+ // this is based on the assumption of the global rank placement that the
+ // processes are mapped to nodes in contiguous chunks (see the comment
+ // below)
+ int numDevices;
+ ERRCHK(cudaGetDeviceCount(&numDevices));
+ ERRCHK(numDevices > 0);
+ if (nP2PDeviceBits > 0)
+ {
+ ERRCHK(numDevices >= nSubSVsP2P);
+ ERRCHK(cudaSetDevice(rank % nSubSVsP2P));
+ }
+ else
+ {
+ ERRCHK(cudaSetDevice(rank % numDevices));
+ }
+
+ // allocate local resources
+ size_t subSVSize = dataSize * (1LL << nLocalIndexBits);
+ ERRCHK(cudaMalloc(&d_orgSubSV, subSVSize));
+ ERRCHK(cudaMemset(d_orgSubSV, 0, subSVSize));
+ ERRCHK(cudaStreamCreate(&localStream));
+ // event should be created with the cudaEventInterprocess flag
+ ERRCHK(cudaEventCreateWithFlags(&localEvent, cudaEventInterprocess | cudaEventDisableTiming));
+
+ // create cuStateVec handle
+ custatevecHandle_t handle;
+ ERRCHK(custatevecCreate(&handle));
+
+ //
+ // create communicator
+ //
+
+ //
+ // Using builtin MPI communicator
+ //
+ // cuStateVec provides builtin communicators for Open MPI and MPICH
+ // By enabling a macro of USE_OPENMPI_COMMUNICATOR or USE_MPICH_COMMUNICATOR,
+ // a bultin communicator is created.
+ //
+ // Builtin communicators dynamically resolve required MPI functions by using dlopen().
+ // This sample directly links to libmpi.so, and all required MPI functions are loaded
+ // to the application at application startup. By specifying nullptr to the soname
+ // argument to call custatevecSVSwapWorkerCreate(), all required functions
+ // will be resolved from the functions loaded at application startup
+ //
+ // Please use one of the following macros to use builtin communicator
+#define USE_OPENMPI_COMMUNICATOR (1)
+// #define USE_MPICH_COMMUNICATOR (1)
+
+
+#if defined(USE_OPENMPI_COMMUNICATOR)
+ // use Open MPI communicator
+ custatevecCommunicatorType_t communicatorType = CUSTATEVEC_COMMUNICATOR_TYPE_OPENMPI;
+ const char* soname = nullptr;
+#endif
+#if defined(USE_MPICH_COMMUNICATOR)
+ // use MPICH communicator
+ custatevecCommunicatorType_t communicatorType = CUSTATEVEC_COMMUNICATOR_TYPE_MPICH;
+ const char* soname = nullptr;
+#endif
+
+ //
+ // Using external communicator
+ //
+ // External communicator is for libraries that are not ABI compatible with
+ // Open MPI and MPICH.
+ // It uses a shared library that wraps the MPI-library of preference.
+ // soname should be the name to the shared library.
+ //
+
+// #define USE_EXTERNAL_COMMUNICATOR (1)
+
+#if defined(USE_EXTERNAL_COMMUNICATOR)
+ // External communicator
+ // Used if the MPI library being used is not ABI-compatible with Open MPI and MPICH
+ custatevecCommunicatorType_t communicatorType = CUSTATEVEC_COMMUNICATOR_TYPE_EXTERNAL;
+ // specify the name of the extension.
+ // mpicomm.so is an example external communicator which is provided with this sample
+ const char* soname = "./mpicomm.so";
+#endif
+ // create communicator
+ custatevecCommunicatorDescriptor_t communicator = nullptr;
+ ERRCHK(custatevecCommunicatorCreate(handle, &communicator, communicatorType, soname));
+
+ //
+ // create sv segment swap worker
+ //
+ custatevecSVSwapWorkerDescriptor_t svSegSwapWorker = nullptr;
+ size_t extraWorkspaceSize = 0;
+ size_t minTransferWorkspaceSize = 0;
+ ERRCHK(custatevecSVSwapWorkerCreate(
+ handle, &svSegSwapWorker, communicator,
+ d_orgSubSV, orgSubSVIndex, localEvent, svDataType,
+ localStream, &extraWorkspaceSize, &minTransferWorkspaceSize));
+ // set extra workspace
+ void* d_extraWorkspace = nullptr;
+ ERRCHK(cudaMalloc(&d_extraWorkspace, extraWorkspaceSize));
+ ERRCHK(custatevecSVSwapWorkerSetExtraWorkspace(
+ handle, svSegSwapWorker, d_extraWorkspace, extraWorkspaceSize));
+ // set transfer workspace
+ // The size should be equal to or larger than minTransferWorkspaceSize
+ // Depending on the systems, larger transfer workspace can improve the performance
+ transferWorkspaceSize = std::max(minTransferWorkspaceSize, transferWorkspaceSize);
+ void* d_transferWorkspace = nullptr;
+ ERRCHK(cudaMalloc(&d_transferWorkspace, transferWorkspaceSize));
+ ERRCHK(custatevecSVSwapWorkerSetTransferWorkspace(
+ handle, svSegSwapWorker, d_transferWorkspace, transferWorkspaceSize));
+
+ //
+ // set remote sub state vectors accessible via GPUDirect P2P
+ // events should be also set for synchronization
+ //
+ std::vector d_subSVsP2P;
+ std::vector subSVIndicesP2P;
+ std::vector remoteEvents;
+ if (nP2PDeviceBits > 0)
+ {
+ // distribute device memory handles
+ cudaIpcMemHandle_t ipcMemHandle;
+ ERRCHK(cudaIpcGetMemHandle(&ipcMemHandle, d_orgSubSV));
+ std::vector ipcMemHandles(nSubSVs);
+ ERRCHK(MPI_Allgather(&ipcMemHandle, sizeof(ipcMemHandle), MPI_UINT8_T,
+ ipcMemHandles.data(), sizeof(ipcMemHandle), MPI_UINT8_T, MPI_COMM_WORLD));
+
+ // distribute event handles
+ cudaIpcEventHandle_t eventHandle;
+ ERRCHK(cudaIpcGetEventHandle(&eventHandle, localEvent));
+ std::vector ipcEventHandles(nSubSVs);
+ ERRCHK(MPI_Allgather(&eventHandle, sizeof(eventHandle), MPI_UINT8_T,
+ ipcEventHandles.data(), sizeof(eventHandle), MPI_UINT8_T, MPI_COMM_WORLD));
+
+ // get remove device pointers and events
+ // this calculation assumes that the global rank placement is done in a round-robin fashion
+ // across nodes, so for example if nP2PDeviceBits=2 there are 2^2=4 processes/node (and
+ // 1 GPU/progress) and we expect the global MPI ranks to be assigned as
+ // 0 1 2 3 -> node 0
+ // 4 5 6 7 -> node 1
+ // 8 9 10 11 -> node 2
+ // ...
+ // if the rank placement scheme is different, you will need to calculate based on local MPI
+ // rank/size, as CUDA IPC is only for intra-node, not inter-node, communication.
+ int p2pSubSVIndexBegin = (orgSubSVIndex / nSubSVsP2P) * nSubSVsP2P;
+ int p2pSubSVIndexEnd = p2pSubSVIndexBegin + nSubSVsP2P;
+ for (int p2pSubSVIndex = p2pSubSVIndexBegin; p2pSubSVIndex < p2pSubSVIndexEnd; ++p2pSubSVIndex)
+ {
+ if (orgSubSVIndex == p2pSubSVIndex)
+ continue; // don't need local sub state vector pointer
+ void* d_subSVP2P = nullptr;
+ const auto& dstMemHandle = ipcMemHandles[p2pSubSVIndex];
+ ERRCHK(cudaIpcOpenMemHandle(&d_subSVP2P, dstMemHandle, cudaIpcMemLazyEnablePeerAccess));
+ d_subSVsP2P.push_back(d_subSVP2P);
+ cudaEvent_t eventP2P = nullptr;
+ ERRCHK(cudaIpcOpenEventHandle(&eventP2P, ipcEventHandles[p2pSubSVIndex]));
+ remoteEvents.push_back(eventP2P);
+ subSVIndicesP2P.push_back(p2pSubSVIndex);
+ }
+
+ // set p2p sub state vectors
+ ERRCHK(custatevecSVSwapWorkerSetSubSVsP2P(
+ handle, svSegSwapWorker,
+ d_subSVsP2P.data(), subSVIndicesP2P.data(), remoteEvents.data(),
+ static_cast(d_subSVsP2P.size())));
+ }
+
+ //
+ // create distributed index bit swap scheduler
+ //
+ custatevecDistIndexBitSwapSchedulerDescriptor_t scheduler;
+ ERRCHK(custatevecDistIndexBitSwapSchedulerCreate(
+ handle, &scheduler, nGlobalIndexBits, nLocalIndexBits));
+
+ // set the index bit swaps to the scheduler
+ // nSwapBatches is obtained by the call. This value specifies the number of loops
+ unsigned nSwapBatches = 0;
+ ERRCHK(custatevecDistIndexBitSwapSchedulerSetIndexBitSwaps(
+ handle, scheduler,
+ indexBitSwaps.data(), static_cast(indexBitSwaps.size()),
+ maskBitString.data(), maskOrdering.data(), 0, &nSwapBatches));
+
+ //
+ // the main loop of index bit swaps
+ //
+ constexpr int nLoops = 2;
+ for (int loop = 0; loop < nLoops; ++loop)
+ {
+ double startTime = getTime();
+ for (int swapBatchIndex = 0; swapBatchIndex < static_cast(nSwapBatches); ++swapBatchIndex)
+ {
+ // get parameters
+ custatevecSVSwapParameters_t parameters;
+ ERRCHK(custatevecDistIndexBitSwapSchedulerGetParameters(
+ handle, scheduler, swapBatchIndex, orgSubSVIndex, ¶meters));
+
+ // the rank of the communication endpoint is parameters.dstSubSVIndex
+ // as "rank == subSVIndex" is assumed in the present sample.
+ int rank = parameters.dstSubSVIndex;
+ // set parameters to the worker
+ ERRCHK(custatevecSVSwapWorkerSetParameters(
+ handle, svSegSwapWorker, ¶meters, rank));
+ // execute swap
+ ERRCHK(custatevecSVSwapWorkerExecute(
+ handle, svSegSwapWorker, 0, parameters.transferSize));
+ // all internal CUDA calls are serialized on localStream
+ }
+ // synchronize all operations on device
+ ERRCHK(cudaStreamSynchronize(localStream));
+ // barrier here for time measurement
+ ERRCHK(MPI_Barrier(MPI_COMM_WORLD));
+ auto elapsedTime = getTime() - startTime;
+ if ((loop == nLoops - 1) && (orgSubSVIndex == 0))
+ {
+ // output benchmark result
+ float elmSize = (svDataType == CUDA_C_64F) ? 16 : 8;
+ float fraction = 1.f - std::pow(0.5f, indexBitSwaps.size());
+ float transferred = std::pow(2.f, nLocalIndexBits) * fraction * elmSize;
+ float bw = transferred / elapsedTime * 1.e-9f;
+ printf("%s: BW %g [GB/s]\n", procname, bw);
+ }
+ }
+
+ // free all resources
+ ERRCHK(custatevecDistIndexBitSwapSchedulerDestroy(handle, scheduler));
+ ERRCHK(custatevecSVSwapWorkerDestroy(handle, svSegSwapWorker));
+ ERRCHK(custatevecCommunicatorDestroy(handle, communicator));
+ ERRCHK(custatevecDestroy(handle));
+ ERRCHK(cudaFree(d_extraWorkspace));
+ ERRCHK(cudaFree(d_transferWorkspace));
+ // free IPC pointers and events
+ for (auto* d_subSV : d_subSVsP2P)
+ ERRCHK(cudaIpcCloseMemHandle(d_subSV));
+ for (auto event : remoteEvents)
+ ERRCHK(cudaEventDestroy(event));
+ ERRCHK(cudaFree(d_orgSubSV));
+ ERRCHK(cudaEventDestroy(localEvent));
+ ERRCHK(cudaStreamDestroy(localStream));
+}
+
+
+int main(int argc, char* argv[])
+{
+
+ ERRCHK(MPI_Init(&argc, &argv));
+
+ // get rank and size
+ int rank, size;
+ ERRCHK(MPI_Comm_rank(MPI_COMM_WORLD, &rank));
+ ERRCHK(MPI_Comm_size(MPI_COMM_WORLD, &size));
+ // size should be a power of two number
+ ERRCHK((size & (size - 1)) == 0);
+
+ snprintf(procname, sizeof(procname), "[%d]", rank);
+
+ // compute nGlobalIndexBits from the size
+ // nGlobalIndexBits = log2(size)
+ int nGlobalIndexBits = 0;
+ while ((1 << nGlobalIndexBits) < size)
+ ++nGlobalIndexBits;
+ // the size of local sub state vectors
+ int nLocalIndexBits = 26;
+
+ // create index bit swap
+ int nIndexBitSwaps = 1;
+ std::vector indexBitSwaps;
+ int nIndexBits = nLocalIndexBits + nGlobalIndexBits;
+ for (int idx = 0; idx < nIndexBitSwaps; ++idx)
+ indexBitSwaps.push_back({nLocalIndexBits - 1 - idx, nIndexBits - idx - 1});
+ // empty mask
+ std::vector maskBitString, maskOrdering;
+
+ runDistributedIndexBitSwaps(rank, size, nGlobalIndexBits, nLocalIndexBits,
+ indexBitSwaps, maskBitString, maskOrdering);
+
+ ERRCHK(MPI_Finalize());
+}
diff --git a/samples/custatevec/samples_mpi/mpicomm.c b/samples/custatevec/samples_mpi/mpicomm.c
new file mode 100644
index 0000000..4681cd7
--- /dev/null
+++ b/samples/custatevec/samples_mpi/mpicomm.c
@@ -0,0 +1,229 @@
+/*
+ * SPDX-FileCopyrightText: Copyright (c) 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-License-Identifier: BSD-3-Clause
+ *
+ * Redistribution and use in source and binary forms, with or without
+ * modification, are permitted provided that the following conditions are met:
+ *
+ * 1. Redistributions of source code must retain the above copyright notice, this
+ * list of conditions and the following disclaimer.
+ *
+ * 2. Redistributions in binary form must reproduce the above copyright notice,
+ * this list of conditions and the following disclaimer in the documentation
+ * and/or other materials provided with the distribution.
+ *
+ * 3. Neither the name of the copyright holder nor the names of its
+ * contributors may be used to endorse or promote products derived from
+ * this software without specific prior written permission.
+ *
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+ * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+ * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+ * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+ * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+ * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+ * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ */
+
+#include
+#include
+#include
+#include
+#include
+#include
+
+
+#include
+#include
+
+
+/*
+ * External communicator for MPI
+ */
+
+
+/*
+ * Communicator function types
+ */
+
+/* Destroy */
+typedef int32_t (*custatevecFnCommunicatorDestroy)(
+ custatevecCommunicatorDescriptor_t comm);
+
+/* Barrier */
+typedef int (*custatevecFnCommunicatorBarrier)(
+ custatevecCommunicatorDescriptor_t comm);
+
+/* SendAsync */
+typedef int32_t (*custatevecFnCommunicatorSendAsync)(
+ custatevecCommunicatorDescriptor_t comm, const void* buf, int count,
+ cudaDataType_t dataType, int peer, int32_t tag);
+/* RecvAsync */
+typedef int32_t (*custatevecFnCommunicatorRecvAsync)(
+ custatevecCommunicatorDescriptor_t comm, void* buf, int count,
+ cudaDataType_t dataType, int peer, int32_t tag);
+
+/* SendRecvAsync */
+typedef int32_t (*custatevecFnCommunicatorSendRecvAsync)(
+ custatevecCommunicatorDescriptor_t comm, const void* sendbuf, void* recvbuf, int count,
+ cudaDataType_t dataType, int peer, int32_t tag);
+
+/* Synchronize */
+typedef int32_t (*custatevecFnCommunicatorSynchronize)(
+ custatevecCommunicatorDescriptor_t comm);
+
+
+/*
+ * Communicator function table
+ */
+
+
+struct custatevecCommunicatorFunctions_t
+{
+ int version;
+ custatevecFnCommunicatorDestroy destroy;
+ custatevecFnCommunicatorBarrier barrier;
+ custatevecFnCommunicatorSendAsync sendAsync;
+ custatevecFnCommunicatorRecvAsync recvAsync;
+ custatevecFnCommunicatorSendRecvAsync sendRecvAsync;
+ custatevecFnCommunicatorSynchronize synchronize;
+};
+
+
+/*
+ * MPI Communicator
+ */
+
+typedef struct MPICommunicator
+{
+ // function table
+ const custatevecCommunicatorFunctions_t* functions;
+ MPI_Request requests[2];
+ int nActiveRequests;
+} MPICommunicator;
+
+
+/*
+ * MPI Communicator functions
+ */
+
+static MPI_Datatype ConvertDataType(cudaDataType_t dataType)
+{
+ switch (dataType)
+ {
+ case CUDA_C_32F:
+ return MPI_CXX_FLOAT_COMPLEX;
+ case CUDA_C_64F:
+ return MPI_CXX_DOUBLE_COMPLEX;
+ default:
+ return MPI_DATATYPE_NULL;
+ }
+}
+
+static int MPICommunicator_Destroy(custatevecCommunicator_t* comm)
+{
+ free(comm);
+ return 0;
+}
+
+static int MPICommunicator_Barrier(custatevecCommunicator_t*)
+{
+ return MPI_Barrier(MPI_COMM_WORLD);
+}
+
+static int MPICommunicator_SendAsync(
+ custatevecCommunicatorDescriptor_t comm, const void* buf, int count,
+ cudaDataType_t dataType, int peer, int32_t tag)
+{
+ MPICommunicator* mpicomm = (MPICommunicator*)comm;
+ if (mpicomm->nActiveRequests == 2)
+ return -1;
+ MPI_Datatype mpiDatatype = ConvertDataType(dataType);
+ MPI_Request* request = &mpicomm->requests[mpicomm->nActiveRequests];
+ int res = MPI_Isend(buf, count, mpiDatatype, peer, tag, MPI_COMM_WORLD, request);
+ if (res != MPI_SUCCESS)
+ {
+ MPI_Cancel(request);
+ return res;
+ }
+ ++mpicomm->nActiveRequests;
+ return 0;
+}
+
+static int MPICommunicator_RecvAsync(
+ custatevecCommunicatorDescriptor_t comm, void* buf, int count,
+ cudaDataType_t dataType, int peer, int32_t tag)
+{
+ MPICommunicator* mpicomm = (MPICommunicator*)comm;
+ if (mpicomm->nActiveRequests == 2)
+ return -1;
+ MPI_Datatype mpiDatatype = ConvertDataType(dataType);
+ MPI_Request* request = &mpicomm->requests[mpicomm->nActiveRequests];
+ int res = MPI_Irecv(buf, count, mpiDatatype, peer, tag, MPI_COMM_WORLD, request);
+ if (res != MPI_SUCCESS)
+ {
+ MPI_Cancel(request);
+ return res;
+ }
+ ++mpicomm->nActiveRequests;
+ return 0;
+}
+
+static int MPICommunicator_SendRecvAsync(
+ custatevecCommunicatorDescriptor_t comm, const void* sendbuf, void* recvbuf, int count,
+ cudaDataType_t dataType, int peer, int32_t tag)
+{
+ MPICommunicator* mpicomm = (MPICommunicator*)comm;
+ if (mpicomm->nActiveRequests != 0)
+ return -1;
+ MPI_Datatype mpiDatatype = ConvertDataType(dataType);
+ MPI_Request* sendRequest = &mpicomm->requests[0];
+ MPI_Request* recvRequest = &mpicomm->requests[1];
+ int resSend = MPI_Isend(
+ sendbuf, count, mpiDatatype, peer, tag, MPI_COMM_WORLD, sendRequest);
+ int resRecv = MPI_Irecv(
+ recvbuf, count, mpiDatatype, peer, tag, MPI_COMM_WORLD, recvRequest);
+ if ((resSend != MPI_SUCCESS) || (resRecv != MPI_SUCCESS))
+ {
+ MPI_Cancel(sendRequest);
+ MPI_Cancel(recvRequest);
+ return resSend != MPI_SUCCESS ? resSend : resRecv;
+ }
+ mpicomm->nActiveRequests = 2;
+ return 0;
+}
+
+static int MPICommunicator_Synchronize(custatevecCommunicator_t* comm)
+{
+ MPICommunicator* mpicomm = (MPICommunicator*)comm;
+ MPI_Status statuses[2];
+ memset(statuses, 0, sizeof(statuses));
+ int res = MPI_Waitall(mpicomm->nActiveRequests, mpicomm->requests, statuses);
+ mpicomm->nActiveRequests = 0;
+ return res;
+}
+
+static const custatevecCommunicatorFunctions_t MPICommunicatorFunctions =
+{
+ 1, /* version */
+ MPICommunicator_Destroy,
+ MPICommunicator_Barrier,
+ MPICommunicator_SendAsync,
+ MPICommunicator_RecvAsync,
+ MPICommunicator_SendRecvAsync,
+ MPICommunicator_Synchronize,
+};
+
+
+/* communicator factory function */
+extern "C"
+custatevecCommunicatorDescriptor_t mpicommCommunicatorCreate(void)
+{
+ MPICommunicator* comm = (MPICommunicator*)malloc(sizeof(MPICommunicator));
+ memset(comm, 0, sizeof(MPICommunicator));
+ comm->functions = &MPICommunicatorFunctions;
+ return (custatevecCommunicatorDescriptor_t)comm;
+}
diff --git a/samples/custatevec/swap_index_bits.cu b/samples/custatevec/swap_index_bits.cu
index aab433f..a8e2ea0 100644
--- a/samples/custatevec/swap_index_bits.cu
+++ b/samples/custatevec/swap_index_bits.cu
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES.
*
* SPDX-License-Identifier: BSD-3-Clause
*/
diff --git a/samples/custatevec/test_matrix_type.cu b/samples/custatevec/test_matrix_type.cu
index 4518cbf..cc726e7 100644
--- a/samples/custatevec/test_matrix_type.cu
+++ b/samples/custatevec/test_matrix_type.cu
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES.
*
* SPDX-License-Identifier: BSD-3-Clause
*/
diff --git a/samples/cutensornet/CMakeLists.txt b/samples/cutensornet/CMakeLists.txt
index b372298..7fdcc5e 100644
--- a/samples/cutensornet/CMakeLists.txt
+++ b/samples/cutensornet/CMakeLists.txt
@@ -129,6 +129,7 @@ endfunction()
add_custom_target(cutensornet_examples)
add_cutensornet_example(cutensornet_examples "cuTENSORNet.example.tensornet" tensornet_example.cu)
+add_cutensornet_example(cutensornet_examples "cuTENSORNet.example.tensornet" tensornet_example_reuse.cu)
add_cutensornet_example(cutensornet_examples "cuTENSORNet.example.tensornet.svd" approxTN/tensor_svd_example.cu)
add_cutensornet_example(cutensornet_examples "cuTENSORNet.example.tensornet.qr" approxTN/tensor_qr_example.cu)
add_cutensornet_example(cutensornet_examples "cuTENSORNet.example.tensornet.gate" approxTN/gate_split_example.cu)
diff --git a/samples/cutensornet/Makefile b/samples/cutensornet/Makefile
index 3ec739a..746a813 100644
--- a/samples/cutensornet/Makefile
+++ b/samples/cutensornet/Makefile
@@ -23,6 +23,7 @@ CXX_FLAGS = -std=c++11 $(INCLUDE_DIRS) $(LIBRARY_DIRS) $(LINKER_FLAGS) $(
all: check-env
${CUDA_PATH}/bin/nvcc tensornet_example.cu -o tensornet_example ${CXX_FLAGS}
+ ${CUDA_PATH}/bin/nvcc tensornet_example_reuse.cu -o tensornet_example_reuse ${CXX_FLAGS}
${CUDA_PATH}/bin/nvcc approxTN/tensor_svd_example.cu -o tensor_svd_example ${CXX_FLAGS}
${CUDA_PATH}/bin/nvcc approxTN/tensor_qr_example.cu -o tensor_qr_example ${CXX_FLAGS}
${CUDA_PATH}/bin/nvcc approxTN/gate_split_example.cu -o gate_split_example ${CXX_FLAGS}
@@ -59,6 +60,6 @@ check-env:
fi
clean:
- rm -f tensornet_example tensornet_example.o tensornet_example_mpi tensornet_example_mpi.o tensornet_example_mpi_auto tensornet_example_mpi_auto.o
+ rm -f tensornet_example tensornet_example.o tensornet_example_reuse tensornet_example_reuse.o tensornet_example_mpi tensornet_example_mpi.o tensornet_example_mpi_auto tensornet_example_mpi_auto.o
rm -f tensor_qr_example tensor_qr_example.o tensor_svd_example tensor_svd_example.o
rm -f gatesplit_example gatesplit_example.o mps_example mps_example.o
diff --git a/samples/cutensornet/README.md b/samples/cutensornet/README.md
index ff40e0a..735a723 100644
--- a/samples/cutensornet/README.md
+++ b/samples/cutensornet/README.md
@@ -154,12 +154,13 @@ Following functionalities are encapsulated in this class:
* Optionally, calling `cutensornetCreateTensorSVDInfo` and `cutensornetTensorSVDInfoGetAttribute` to store and retrieve runtime SVD truncation information.
* Performing gate split operations for all gates using `cutensornetTensorGateSplit`.
* Freeing the cuTensorNet resources.
-* Finding an optimal contraction path with `cutensornetContractionOptimize` in parallel,
- and using global reduction (`MPI_MINLOC`) to find the best path and the owning process's identity.
- Note that the contraction optimizer on each process sets a different random seed, so each process
- typically computes a different optimal path for sufficiently large tensor networks.
-* Broadcasting the winner's `optimizerInfo` object by serializing it using the `cutensornetContractionOptimizerInfoGetPackedSize`
- and `cutensornetContractionOptimizerInfoPackData` APIs, and deserializing it into an existing `optimizerInfo`
- object using the `cutensornetUpdateContractionOptimizerInfoFromPackedData` API function.
-* Computing the subset of slice IDs (in a relatively load-balanced fashion) for which each process is responsible,
- contracting them, and performing a global reduction (sum) to get the final result on the root process.
+
+### 8. Intermediate tensor(s) reuse (`tensornet_example_reuse.cu`)
+
+This sample demonstrates how to use the "intermediate tensor reuse" feature to accelerate the contractions
+of a network with constant intput tensors, where repeated contractions would change some of the input tensor's data only. This sample largely builds on first sample provided above.
+
+This sample demonstrates how to:
+* Mark input tensors as "constant" when creating a tensor network using `cutensornetCreateNetworkDescriptor`, by setting the corresponding `cutensornetTensorQualifiers_t` field.
+* Provide a cache workspace to the contraction plan which will be used to accelerate the subsequent contractions of the same network. It shows how to query the required cache memory size using `cutensornetWorkspaceGetMemorySize` with a `CUTENSORNET_WORKSPACE_CACHE` workspace-kind, and how to the provide the workspace memory using `cutensornetWorkspaceSetMemory`.
+* Provide a predefined contraction path to the contraction optimizer by calling `cutensornetContractionOptimizerInfoSetAttribute` with `CUTENSORNET_CONTRACTION_OPTIMIZER_INFO_PATH` attribute.
diff --git a/samples/cutensornet/approxTN/gate_split_example.cu b/samples/cutensornet/approxTN/gate_split_example.cu
index 6658007..a8d030e 100644
--- a/samples/cutensornet/approxTN/gate_split_example.cu
+++ b/samples/cutensornet/approxTN/gate_split_example.cu
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES.
*
* SPDX-License-Identifier: BSD-3-Clause
*/
@@ -275,20 +275,22 @@ int main()
gateAlgo,
svdConfig, typeCompute,
workDesc) );
- uint64_t requiredWorkspaceSize = 0;
- HANDLE_ERROR( cutensornetWorkspaceGetSize(handle,
- workDesc,
- CUTENSORNET_WORKSIZE_PREF_MIN,
- CUTENSORNET_MEMSPACE_DEVICE,
- &requiredWorkspaceSize) );
+ int64_t requiredWorkspaceSize = 0;
+ HANDLE_ERROR( cutensornetWorkspaceGetMemorySize(handle,
+ workDesc,
+ CUTENSORNET_WORKSIZE_PREF_MIN,
+ CUTENSORNET_MEMSPACE_DEVICE,
+ CUTENSORNET_WORKSPACE_SCRATCH,
+ &requiredWorkspaceSize) );
void *work = nullptr;
HANDLE_CUDA_ERROR( cudaMalloc(&work, requiredWorkspaceSize) );
- HANDLE_ERROR( cutensornetWorkspaceSet(handle,
- workDesc,
- CUTENSORNET_MEMSPACE_DEVICE,
- work,
- requiredWorkspaceSize) );
+ HANDLE_ERROR( cutensornetWorkspaceSetMemory(handle,
+ workDesc,
+ CUTENSORNET_MEMSPACE_DEVICE,
+ CUTENSORNET_WORKSPACE_SCRATCH,
+ work,
+ requiredWorkspaceSize) );
printf("Allocate workspace.\n");
diff --git a/samples/cutensornet/approxTN/mps_example.cu b/samples/cutensornet/approxTN/mps_example.cu
index 02c1e74..f18b2c2 100644
--- a/samples/cutensornet/approxTN/mps_example.cu
+++ b/samples/cutensornet/approxTN/mps_example.cu
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES.
*
* SPDX-License-Identifier: BSD-3-Clause
*/
@@ -128,14 +128,14 @@ class MPSHelper
* \brief Compute the maximal workspace needed for MPS gating algorithm.
* \param[out] workspaceSize The required workspace size on the device.
*/
- cutensornetStatus_t computeMaxWorkspaceSizes(uint64_t* workspaceSize);
+ cutensornetStatus_t computeMaxWorkspaceSizes(int64_t* workspaceSize);
/**
* \brief Compute the maximal workspace needed for MPS gating algorithm.
* \param[in] work Pointer to the allocated workspace.
* \param[in] workspaceSize The required workspace size on the device.
*/
- cutensornetStatus_t setWorkspace(void* work, uint64_t workspaceSize);
+ cutensornetStatus_t setWorkspace(void* work, int64_t workspaceSize);
/**
* \brief In-place execution of the apply gate algorithm on \p siteA and \p siteB.
@@ -319,7 +319,7 @@ cutensornetStatus_t MPSHelper::setSVDConfig(double absCutoff,
/*****************************
* Query maximal workspace size
******************************/
-cutensornetStatus_t MPSHelper::computeMaxWorkspaceSizes(uint64_t* workspaceSize)
+cutensornetStatus_t MPSHelper::computeMaxWorkspaceSizes(int64_t* workspaceSize)
{
cutensornetTensorDescriptor_t descTensorInA;
cutensornetTensorDescriptor_t descTensorInB;
@@ -388,11 +388,12 @@ cutensornetStatus_t MPSHelper::computeMaxWorkspaceSizes(uint64_t* workspaceSize)
typeCompute_,
workDesc_) );
- HANDLE_ERROR( cutensornetWorkspaceGetSize(handle_,
- workDesc_,
- CUTENSORNET_WORKSIZE_PREF_MIN,
- CUTENSORNET_MEMSPACE_DEVICE,
- workspaceSize) );
+ HANDLE_ERROR( cutensornetWorkspaceGetMemorySize(handle_,
+ workDesc_,
+ CUTENSORNET_WORKSIZE_PREF_MIN,
+ CUTENSORNET_MEMSPACE_DEVICE,
+ CUTENSORNET_WORKSPACE_SCRATCH,
+ workspaceSize) );
// free the tensor descriptors
HANDLE_ERROR( cutensornetDestroyTensorDescriptor(descTensorInA) );
HANDLE_ERROR( cutensornetDestroyTensorDescriptor(descTensorInB) );
@@ -403,13 +404,14 @@ cutensornetStatus_t MPSHelper::computeMaxWorkspaceSizes(uint64_t* workspaceSize)
}
// Sphinx: #8
-cutensornetStatus_t MPSHelper::setWorkspace(void* work, uint64_t workspaceSize)
+cutensornetStatus_t MPSHelper::setWorkspace(void* work, int64_t workspaceSize)
{
- HANDLE_ERROR( cutensornetWorkspaceSet(handle_,
- workDesc_,
- CUTENSORNET_MEMSPACE_DEVICE,
- work,
- workspaceSize) );
+ HANDLE_ERROR( cutensornetWorkspaceSetMemory(handle_,
+ workDesc_,
+ CUTENSORNET_MEMSPACE_DEVICE,
+ CUTENSORNET_WORKSPACE_SCRATCH,
+ work,
+ workspaceSize) );
return CUTENSORNET_STATUS_SUCCESS;
}
@@ -630,7 +632,7 @@ int main()
* Step 4: workspace size query and allocation
*********************************************/
- uint64_t workspaceSize;
+ int64_t workspaceSize;
HANDLE_ERROR( mpsHelper.computeMaxWorkspaceSizes(&workspaceSize) );
void *work = nullptr;
diff --git a/samples/cutensornet/approxTN/tensor_qr_example.cu b/samples/cutensornet/approxTN/tensor_qr_example.cu
index 491df93..28f8263 100644
--- a/samples/cutensornet/approxTN/tensor_qr_example.cu
+++ b/samples/cutensornet/approxTN/tensor_qr_example.cu
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES.
*
* SPDX-License-Identifier: BSD-3-Clause
*/
@@ -219,11 +219,21 @@ int main()
cutensornetWorkspaceDescriptor_t workDesc;
HANDLE_ERROR( cutensornetCreateWorkspaceDescriptor(handle, &workDesc) );
HANDLE_ERROR( cutensornetWorkspaceComputeQRSizes(handle, descTensorIn, descTensorQ, descTensorR, workDesc) );
- uint64_t hostWorkspaceSize, deviceWorkspaceSize;
+ int64_t hostWorkspaceSize, deviceWorkspaceSize;
// for tensor QR, it does not matter which cutensornetWorksizePref_t we pick
- HANDLE_ERROR( cutensornetWorkspaceGetSize(handle, workDesc, CUTENSORNET_WORKSIZE_PREF_RECOMMENDED, CUTENSORNET_MEMSPACE_DEVICE, &deviceWorkspaceSize) );
- HANDLE_ERROR( cutensornetWorkspaceGetSize(handle, workDesc, CUTENSORNET_WORKSIZE_PREF_RECOMMENDED, CUTENSORNET_MEMSPACE_HOST, &hostWorkspaceSize) );
+ HANDLE_ERROR( cutensornetWorkspaceGetMemorySize(handle,
+ workDesc,
+ CUTENSORNET_WORKSIZE_PREF_RECOMMENDED,
+ CUTENSORNET_MEMSPACE_DEVICE,
+ CUTENSORNET_WORKSPACE_SCRATCH,
+ &deviceWorkspaceSize) );
+ HANDLE_ERROR( cutensornetWorkspaceGetMemorySize(handle,
+ workDesc,
+ CUTENSORNET_WORKSIZE_PREF_RECOMMENDED,
+ CUTENSORNET_MEMSPACE_HOST,
+ CUTENSORNET_WORKSPACE_SCRATCH,
+ &hostWorkspaceSize) );
void *devWork = nullptr, *hostWork = nullptr;
if (deviceWorkspaceSize > 0) {
@@ -232,8 +242,18 @@ int main()
if (hostWorkspaceSize > 0) {
hostWork = malloc(hostWorkspaceSize);
}
- HANDLE_ERROR( cutensornetWorkspaceSet(handle, workDesc, CUTENSORNET_MEMSPACE_DEVICE, devWork, deviceWorkspaceSize) );
- HANDLE_ERROR( cutensornetWorkspaceSet(handle, workDesc, CUTENSORNET_MEMSPACE_HOST, hostWork, hostWorkspaceSize) );
+ HANDLE_ERROR( cutensornetWorkspaceSetMemory(handle,
+ workDesc,
+ CUTENSORNET_MEMSPACE_DEVICE,
+ CUTENSORNET_WORKSPACE_SCRATCH,
+ devWork,
+ deviceWorkspaceSize) );
+ HANDLE_ERROR( cutensornetWorkspaceSetMemory(handle,
+ workDesc,
+ CUTENSORNET_MEMSPACE_HOST,
+ CUTENSORNET_WORKSPACE_SCRATCH,
+ hostWork,
+ hostWorkspaceSize) );
// Sphinx: #6
/**********
diff --git a/samples/cutensornet/approxTN/tensor_svd_example.cu b/samples/cutensornet/approxTN/tensor_svd_example.cu
index e8fbf84..dd523c2 100644
--- a/samples/cutensornet/approxTN/tensor_svd_example.cu
+++ b/samples/cutensornet/approxTN/tensor_svd_example.cu
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES.
*
* SPDX-License-Identifier: BSD-3-Clause
*/
@@ -251,10 +251,20 @@ int main()
cutensornetWorkspaceDescriptor_t workDesc;
HANDLE_ERROR( cutensornetCreateWorkspaceDescriptor(handle, &workDesc) );
HANDLE_ERROR( cutensornetWorkspaceComputeSVDSizes(handle, descTensorIn, descTensorU, descTensorV, svdConfig, workDesc) );
- uint64_t hostWorkspaceSize, deviceWorkspaceSize;
+ int64_t hostWorkspaceSize, deviceWorkspaceSize;
// for tensor SVD, it does not matter which cutensornetWorksizePref_t we pick
- HANDLE_ERROR( cutensornetWorkspaceGetSize(handle, workDesc, CUTENSORNET_WORKSIZE_PREF_RECOMMENDED, CUTENSORNET_MEMSPACE_DEVICE, &deviceWorkspaceSize) );
- HANDLE_ERROR( cutensornetWorkspaceGetSize(handle, workDesc, CUTENSORNET_WORKSIZE_PREF_RECOMMENDED, CUTENSORNET_MEMSPACE_HOST, &hostWorkspaceSize) );
+ HANDLE_ERROR( cutensornetWorkspaceGetMemorySize(handle,
+ workDesc,
+ CUTENSORNET_WORKSIZE_PREF_RECOMMENDED,
+ CUTENSORNET_MEMSPACE_DEVICE,
+ CUTENSORNET_WORKSPACE_SCRATCH,
+ &deviceWorkspaceSize) );
+ HANDLE_ERROR( cutensornetWorkspaceGetMemorySize(handle,
+ workDesc,
+ CUTENSORNET_WORKSIZE_PREF_RECOMMENDED,
+ CUTENSORNET_MEMSPACE_HOST,
+ CUTENSORNET_WORKSPACE_SCRATCH,
+ &hostWorkspaceSize) );
void *devWork = nullptr, *hostWork = nullptr;
if (deviceWorkspaceSize > 0) {
@@ -263,8 +273,18 @@ int main()
if (hostWorkspaceSize > 0) {
hostWork = malloc(hostWorkspaceSize);
}
- HANDLE_ERROR( cutensornetWorkspaceSet(handle, workDesc, CUTENSORNET_MEMSPACE_DEVICE, devWork, deviceWorkspaceSize) );
- HANDLE_ERROR( cutensornetWorkspaceSet(handle, workDesc, CUTENSORNET_MEMSPACE_HOST, hostWork, hostWorkspaceSize) );
+ HANDLE_ERROR( cutensornetWorkspaceSetMemory(handle,
+ workDesc,
+ CUTENSORNET_MEMSPACE_DEVICE,
+ CUTENSORNET_WORKSPACE_SCRATCH,
+ devWork,
+ deviceWorkspaceSize) );
+ HANDLE_ERROR( cutensornetWorkspaceSetMemory(handle,
+ workDesc,
+ CUTENSORNET_MEMSPACE_HOST,
+ CUTENSORNET_WORKSPACE_SCRATCH,
+ hostWork,
+ hostWorkspaceSize) );
// Sphinx: #7
/**********
diff --git a/samples/cutensornet/tensornet_example.cu b/samples/cutensornet/tensornet_example.cu
index c14e144..7637fa3 100644
--- a/samples/cutensornet/tensornet_example.cu
+++ b/samples/cutensornet/tensornet_example.cu
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES.
*
* SPDX-License-Identifier: BSD-3-Clause
*/
@@ -68,7 +68,7 @@ struct GPUTimer
};
-int main(int argc, char **argv)
+int main()
{
static_assert(sizeof(size_t) == sizeof(int64_t), "Please build this sample on a 64-bit architecture!");
@@ -321,26 +321,28 @@ int main(int argc, char **argv)
cutensornetWorkspaceDescriptor_t workDesc;
HANDLE_ERROR( cutensornetCreateWorkspaceDescriptor(handle, &workDesc) );
- uint64_t requiredWorkspaceSize = 0;
+ int64_t requiredWorkspaceSize = 0;
HANDLE_ERROR( cutensornetWorkspaceComputeContractionSizes(handle,
descNet,
optimizerInfo,
workDesc) );
- HANDLE_ERROR( cutensornetWorkspaceGetSize(handle,
- workDesc,
- CUTENSORNET_WORKSIZE_PREF_MIN,
- CUTENSORNET_MEMSPACE_DEVICE,
- &requiredWorkspaceSize) );
+ HANDLE_ERROR( cutensornetWorkspaceGetMemorySize(handle,
+ workDesc,
+ CUTENSORNET_WORKSIZE_PREF_MIN,
+ CUTENSORNET_MEMSPACE_DEVICE,
+ CUTENSORNET_WORKSPACE_SCRATCH,
+ &requiredWorkspaceSize) );
void* work = nullptr;
HANDLE_CUDA_ERROR( cudaMalloc(&work, requiredWorkspaceSize) );
- HANDLE_ERROR( cutensornetWorkspaceSet(handle,
- workDesc,
- CUTENSORNET_MEMSPACE_DEVICE,
- work,
- requiredWorkspaceSize) );
+ HANDLE_ERROR( cutensornetWorkspaceSetMemory(handle,
+ workDesc,
+ CUTENSORNET_MEMSPACE_DEVICE,
+ CUTENSORNET_WORKSPACE_SCRATCH,
+ work,
+ requiredWorkspaceSize) );
if(verbose)
printf("Allocated and set up the GPU workspace\n");
@@ -397,7 +399,7 @@ int main(int argc, char **argv)
HANDLE_ERROR( cutensornetCreateSliceGroupFromIDRange(handle, 0, numSlices, 1, &sliceGroup) );
GPUTimer timer {stream};
- double minTimeCUTENSOR = 1e100;
+ double minTimeCUTENSORNET = 1e100;
const int numRuns = 3; // number of repeats to get stable performance results
for (int i = 0; i < numRuns; ++i)
{
@@ -421,7 +423,7 @@ int main(int argc, char **argv)
// Synchronize and measure best timing
auto time = timer.seconds();
- minTimeCUTENSOR = (time > minTimeCUTENSOR) ? minTimeCUTENSOR : time;
+ minTimeCUTENSORNET = (time > minTimeCUTENSORNET) ? minTimeCUTENSORNET : time;
}
if(verbose)
@@ -450,7 +452,7 @@ int main(int argc, char **argv)
if(verbose) {
printf("Number of tensor network slices = %ld\n", numSlices);
- printf("Tensor network contraction time (ms) = %.3f\n", minTimeCUTENSOR * 1000.f);
+ printf("Tensor network contraction time (ms) = %.3f\n", minTimeCUTENSORNET * 1000.f);
}
// Free cuTensorNet resources
diff --git a/samples/cutensornet/tensornet_example_mpi.cu b/samples/cutensornet/tensornet_example_mpi.cu
index 1629901..649efa8 100644
--- a/samples/cutensornet/tensornet_example_mpi.cu
+++ b/samples/cutensornet/tensornet_example_mpi.cu
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES.
*
* SPDX-License-Identifier: BSD-3-Clause
*/
@@ -448,26 +448,28 @@ int main(int argc, char **argv)
cutensornetWorkspaceDescriptor_t workDesc;
HANDLE_ERROR( cutensornetCreateWorkspaceDescriptor(handle, &workDesc) );
- uint64_t requiredWorkspaceSize = 0;
+ int64_t requiredWorkspaceSize = 0;
HANDLE_ERROR( cutensornetWorkspaceComputeContractionSizes(handle,
descNet,
optimizerInfo,
workDesc) );
- HANDLE_ERROR( cutensornetWorkspaceGetSize(handle,
- workDesc,
- CUTENSORNET_WORKSIZE_PREF_MIN,
- CUTENSORNET_MEMSPACE_DEVICE,
- &requiredWorkspaceSize) );
+ HANDLE_ERROR( cutensornetWorkspaceGetMemorySize(handle,
+ workDesc,
+ CUTENSORNET_WORKSIZE_PREF_MIN,
+ CUTENSORNET_MEMSPACE_DEVICE,
+ CUTENSORNET_WORKSPACE_SCRATCH,
+ &requiredWorkspaceSize) );
void* work = nullptr;
HANDLE_CUDA_ERROR( cudaMalloc(&work, requiredWorkspaceSize) );
- HANDLE_ERROR( cutensornetWorkspaceSet(handle,
- workDesc,
- CUTENSORNET_MEMSPACE_DEVICE,
- work,
- requiredWorkspaceSize) );
+ HANDLE_ERROR( cutensornetWorkspaceSetMemory(handle,
+ workDesc,
+ CUTENSORNET_MEMSPACE_DEVICE,
+ CUTENSORNET_WORKSPACE_SCRATCH,
+ work,
+ requiredWorkspaceSize) );
if(verbose)
printf("Allocated and set up the GPU workspace\n");
diff --git a/samples/cutensornet/tensornet_example_mpi_auto.cu b/samples/cutensornet/tensornet_example_mpi_auto.cu
index b5da86a..88948e5 100644
--- a/samples/cutensornet/tensornet_example_mpi_auto.cu
+++ b/samples/cutensornet/tensornet_example_mpi_auto.cu
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES.
*
* SPDX-License-Identifier: BSD-3-Clause
*/
@@ -394,26 +394,28 @@ int main(int argc, char **argv)
cutensornetWorkspaceDescriptor_t workDesc;
HANDLE_ERROR( cutensornetCreateWorkspaceDescriptor(handle, &workDesc) );
- uint64_t requiredWorkspaceSize = 0;
+ int64_t requiredWorkspaceSize = 0;
HANDLE_ERROR( cutensornetWorkspaceComputeContractionSizes(handle,
descNet,
optimizerInfo,
workDesc) );
- HANDLE_ERROR( cutensornetWorkspaceGetSize(handle,
- workDesc,
- CUTENSORNET_WORKSIZE_PREF_MIN,
- CUTENSORNET_MEMSPACE_DEVICE,
- &requiredWorkspaceSize) );
+ HANDLE_ERROR( cutensornetWorkspaceGetMemorySize(handle,
+ workDesc,
+ CUTENSORNET_WORKSIZE_PREF_MIN,
+ CUTENSORNET_MEMSPACE_DEVICE,
+ CUTENSORNET_WORKSPACE_SCRATCH,
+ &requiredWorkspaceSize) );
void* work = nullptr;
HANDLE_CUDA_ERROR( cudaMalloc(&work, requiredWorkspaceSize) );
- HANDLE_ERROR( cutensornetWorkspaceSet(handle,
- workDesc,
- CUTENSORNET_MEMSPACE_DEVICE,
- work,
- requiredWorkspaceSize) );
+ HANDLE_ERROR( cutensornetWorkspaceSetMemory(handle,
+ workDesc,
+ CUTENSORNET_MEMSPACE_DEVICE,
+ CUTENSORNET_WORKSPACE_SCRATCH,
+ work,
+ requiredWorkspaceSize) );
if(verbose)
printf("Allocated and set up the GPU workspace\n");
diff --git a/samples/cutensornet/tensornet_example_reuse.cu b/samples/cutensornet/tensornet_example_reuse.cu
new file mode 100644
index 0000000..5c7b01b
--- /dev/null
+++ b/samples/cutensornet/tensornet_example_reuse.cu
@@ -0,0 +1,513 @@
+/*
+ * Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES.
+ *
+ * SPDX-License-Identifier: BSD-3-Clause
+ */
+
+// Sphinx: #1
+
+#include
+#include
+
+#include
+#include
+#include
+
+#include
+#include
+
+
+#define HANDLE_ERROR(x) \
+{ const auto err = x; \
+ if( err != CUTENSORNET_STATUS_SUCCESS ) \
+ { printf("Error: %s in line %d\n", cutensornetGetErrorString(err), __LINE__); \
+ fflush(stdout); \
+ } \
+};
+
+#define HANDLE_CUDA_ERROR(x) \
+{ const auto err = x; \
+ if( err != cudaSuccess ) \
+ { printf("CUDA Error: %s in line %d\n", cudaGetErrorString(err), __LINE__); \
+ fflush(stdout); \
+ } \
+};
+
+
+struct GPUTimer
+{
+ GPUTimer(cudaStream_t stream): stream_(stream)
+ {
+ cudaEventCreate(&start_);
+ cudaEventCreate(&stop_);
+ }
+
+ ~GPUTimer()
+ {
+ cudaEventDestroy(start_);
+ cudaEventDestroy(stop_);
+ }
+
+ void start()
+ {
+ cudaEventRecord(start_, stream_);
+ }
+
+ float seconds()
+ {
+ cudaEventRecord(stop_, stream_);
+ cudaEventSynchronize(stop_);
+ float time;
+ cudaEventElapsedTime(&time, start_, stop_);
+ return time * 1e-3;
+ }
+
+ private:
+ cudaEvent_t start_, stop_;
+ cudaStream_t stream_;
+};
+
+
+int main()
+{
+ static_assert(sizeof(size_t) == sizeof(int64_t), "Please build this sample on a 64-bit architecture!");
+
+ bool verbose = true;
+
+ // Check cuTensorNet version
+ const size_t cuTensornetVersion = cutensornetGetVersion();
+ if(verbose)
+ printf("cuTensorNet version: %ld\n", cuTensornetVersion);
+
+ // Set GPU device
+ int numDevices {0};
+ HANDLE_CUDA_ERROR( cudaGetDeviceCount(&numDevices) );
+ const int deviceId = 0;
+ HANDLE_CUDA_ERROR( cudaSetDevice(deviceId) );
+ cudaDeviceProp prop;
+ HANDLE_CUDA_ERROR( cudaGetDeviceProperties(&prop, deviceId) );
+
+ if(verbose) {
+ printf("===== device info ======\n");
+ printf("GPU-name:%s\n", prop.name);
+ printf("GPU-clock:%d\n", prop.clockRate);
+ printf("GPU-memoryClock:%d\n", prop.memoryClockRate);
+ printf("GPU-nSM:%d\n", prop.multiProcessorCount);
+ printf("GPU-major:%d\n", prop.major);
+ printf("GPU-minor:%d\n", prop.minor);
+ printf("========================\n");
+ }
+
+ typedef float floatType;
+ cudaDataType_t typeData = CUDA_R_32F;
+ cutensornetComputeType_t typeCompute = CUTENSORNET_COMPUTE_32F;
+
+ if(verbose)
+ printf("Included headers and defined data types\n");
+
+ // Sphinx: #2
+ /**********************
+ * Computing: O_{a,m} = A_{a,b,c,d} B_{b,c,d,e} C_{e,f,g,h} D_{g,h,i,j} E_{i,j,k,l} F_{k,l,m}
+ * We will execute the contraction a few times assuming all input tensors being constant except F.
+ **********************/
+
+ constexpr int32_t numInputs = 6;
+
+ // Create vectors of tensor modes
+ std::vector> modesVec {
+ {'a','b','c','d'},
+ {'b','c','d','e'},
+ {'e','f','g','h'},
+ {'g','h','i','j'},
+ {'i','j','k','l'},
+ {'k','l','m'},
+ {'a','m'}
+ };
+
+ // Set mode extents
+ int64_t sameExtent = 36; // setting same extent for simplicity. In principle extents can differ.
+ std::unordered_map extent;
+ for (auto &vec: modesVec)
+ {
+ for (auto &mode: vec)
+ {
+ extent[mode] = sameExtent;
+ }
+ }
+
+ // Create a vector of extents for each tensor
+ std::vector> extentVec;
+ extentVec.resize(numInputs+1); // hold inputs + output tensors
+ for (int i = 0; i < numInputs+1; ++i)
+ {
+ for (auto mode : modesVec[i])
+ extentVec[i].push_back(extent[mode]);
+ }
+
+ if(verbose)
+ printf("Defined tensor network, modes, and extents\n");
+
+ // Sphinx: #3
+ /**********************
+ * Allocating data
+ **********************/
+
+ std::vector elementsVec;
+ elementsVec.resize(numInputs+1); // hold inputs + output tensors
+ for (int i = 0; i < numInputs+1; ++i)
+ {
+ elementsVec[i] = 1;
+ for (auto mode : modesVec[i])
+ elementsVec[i] *= extent[mode];
+ }
+
+ size_t totalSize = 0;
+ std::vector sizeVec;
+ sizeVec.resize(numInputs+1); // hold inputs + output tensors
+ for (int i = 0; i < numInputs+1; ++i)
+ {
+ sizeVec[i] = sizeof(floatType) * elementsVec[i];
+ totalSize += sizeVec[i];
+ }
+ if(verbose)
+ printf("Total GPU memory used for tensor storage: %.2f GiB\n",
+ (totalSize) / 1024. /1024. / 1024);
+
+ void* rawDataIn_d[numInputs];
+ void* O_d;
+ for (int i = 0; i < numInputs; ++i)
+ {
+ HANDLE_CUDA_ERROR( cudaMalloc((void**) &rawDataIn_d[i], sizeVec[i]) );
+ }
+ HANDLE_CUDA_ERROR( cudaMalloc((void**) &O_d, sizeVec[numInputs]));
+
+ floatType* rawDataIn_h[numInputs];
+ for (int i = 0; i < numInputs; ++i)
+ {
+ rawDataIn_h[i] = (floatType*) malloc(sizeof(floatType) * elementsVec[i]);
+ if (rawDataIn_h[i] == NULL)
+ {
+ printf("Error: Host memory allocation failed!\n");
+ return -1;
+ }
+ }
+ floatType *O_h = (floatType*) malloc(sizeof(floatType) * elementsVec[numInputs]);
+ if (O_h == NULL)
+ {
+ printf("Error: Host memory allocation failed!\n");
+ return -1;
+ }
+
+ /*******************
+ * Initialize data
+ *******************/
+
+ memset(O_h, 0, sizeof(floatType) * elementsVec[numInputs]);
+ for (int i = 0; i < numInputs; ++i)
+ {
+ for (size_t e = 0; e < elementsVec[i]; ++e)
+ rawDataIn_h[i][e] = ((floatType) rand()) / RAND_MAX;
+ }
+
+ for (int i = 0; i < numInputs; ++i)
+ {
+ HANDLE_CUDA_ERROR( cudaMemcpy(rawDataIn_d[i], rawDataIn_h[i], sizeVec[i], cudaMemcpyHostToDevice) );
+ }
+
+ if(verbose)
+ printf("Allocated GPU memory for data, initialize data, and create library handle\n");
+
+ /*************************
+ * cuTensorNet
+ *************************/
+
+ cudaStream_t stream;
+ cudaStreamCreate(&stream);
+
+ cutensornetHandle_t handle;
+ HANDLE_ERROR( cutensornetCreate(&handle) );
+
+ // Sphinx: #4
+ /*******************************
+ * Set constant input tensors
+ *******************************/
+
+ // specify which input tensors are constant
+ std::vector qualifiersIn;
+ qualifiersIn.resize(numInputs);
+ for (int i = 0; i < numInputs; ++i)
+ {
+ if (i < 5)
+ qualifiersIn[i].isConstant = 1;
+ else
+ qualifiersIn[i].isConstant = 0;
+ }
+
+ /*******************************
+ * Create Network Descriptor
+ *******************************/
+
+ int32_t* modesIn[numInputs];
+ int32_t numModesIn[numInputs];
+ int64_t* extentsIn[numInputs];
+ int64_t* stridesIn[numInputs];
+
+ for (int i = 0; i < numInputs; ++i)
+ {
+ modesIn[i] = modesVec[i].data();
+ numModesIn[i] = modesVec[i].size();
+ extentsIn[i] = extentVec[i].data();
+ stridesIn[i] = NULL; // strides are optional; if no stride is provided, cuTensorNet assumes a generalized column-major data layout
+ }
+
+ // Set up tensor network
+ cutensornetNetworkDescriptor_t descNet;
+ HANDLE_ERROR( cutensornetCreateNetworkDescriptor(handle,
+ numInputs, numModesIn, extentsIn, stridesIn, modesIn, qualifiersIn.data(),
+ modesVec[numInputs].size(), extentVec[numInputs].data(), /*stridesOut = */NULL, modesVec[numInputs].data(),
+ typeData, typeCompute,
+ &descNet) );
+
+ if(verbose)
+ printf("Initialized the cuTensorNet library and created a tensor network descriptor\n");
+
+ // Sphinx: #5
+ /*******************************
+ * Choose workspace limit based on available resources.
+ *******************************/
+
+ size_t freeMem, totalMem;
+ HANDLE_CUDA_ERROR( cudaMemGetInfo(&freeMem, &totalMem) );
+ uint64_t workspaceLimit = (uint64_t)((double)freeMem * 0.9);
+ if(verbose)
+ printf("Workspace limit = %lu\n", workspaceLimit);
+
+ /*******************************
+ * Set contraction order
+ *******************************/
+
+ // Create contraction optimizer info
+ cutensornetContractionOptimizerInfo_t optimizerInfo;
+ HANDLE_ERROR( cutensornetCreateContractionOptimizerInfo(handle, descNet, &optimizerInfo) );
+
+ // set a predetermined contraction path
+ std::vector path{0,1,0,4,0,3,0,2,0,1};
+ const auto numContractions = numInputs - 1;
+ cutensornetContractionPath_t contPath;
+ contPath.data = reinterpret_cast(const_cast(path.data()));
+ contPath.numContractions = numContractions;
+
+ // provide user-specified contPath
+ HANDLE_ERROR( cutensornetContractionOptimizerInfoSetAttribute(
+ handle,
+ optimizerInfo,
+ CUTENSORNET_CONTRACTION_OPTIMIZER_INFO_PATH,
+ &contPath,
+ sizeof(contPath)));
+ int64_t numSlices = 1;
+
+ if(verbose)
+ printf("Set predetermined contraction path into cuTensorNet optimizer\n");
+
+ // Sphinx: #6
+ /*******************************
+ * Create workspace descriptor, allocate workspace, and set it.
+ *******************************/
+
+ cutensornetWorkspaceDescriptor_t workDesc;
+ HANDLE_ERROR( cutensornetCreateWorkspaceDescriptor(handle, &workDesc) );
+
+ // set SCRATCH workspace, which will be used during each network contraction operation, not needed afterwords
+ int64_t requiredWorkspaceSizeScratch = 0;
+ HANDLE_ERROR( cutensornetWorkspaceComputeContractionSizes(handle,
+ descNet,
+ optimizerInfo,
+ workDesc) );
+
+ HANDLE_ERROR( cutensornetWorkspaceGetMemorySize(handle,
+ workDesc,
+ CUTENSORNET_WORKSIZE_PREF_MIN,
+ CUTENSORNET_MEMSPACE_DEVICE,
+ CUTENSORNET_WORKSPACE_SCRATCH,
+ &requiredWorkspaceSizeScratch) );
+
+ void* workScratch = nullptr;
+ HANDLE_CUDA_ERROR( cudaMalloc(&workScratch, requiredWorkspaceSizeScratch) );
+
+ HANDLE_ERROR( cutensornetWorkspaceSetMemory(handle,
+ workDesc,
+ CUTENSORNET_MEMSPACE_DEVICE,
+ CUTENSORNET_WORKSPACE_SCRATCH,
+ workScratch,
+ requiredWorkspaceSizeScratch) );
+
+ // set CACHE workspace, which will be used across network contraction operations
+ int64_t requiredWorkspaceSizeCache = 0;
+ HANDLE_ERROR( cutensornetWorkspaceGetMemorySize(handle,
+ workDesc,
+ CUTENSORNET_WORKSIZE_PREF_MIN,
+ CUTENSORNET_MEMSPACE_DEVICE,
+ CUTENSORNET_WORKSPACE_CACHE,
+ &requiredWorkspaceSizeCache) );
+
+ void* workCache = nullptr;
+ HANDLE_CUDA_ERROR( cudaMalloc(&workCache, requiredWorkspaceSizeCache) );
+
+ HANDLE_ERROR( cutensornetWorkspaceSetMemory(handle,
+ workDesc,
+ CUTENSORNET_MEMSPACE_DEVICE,
+ CUTENSORNET_WORKSPACE_CACHE,
+ workCache,
+ requiredWorkspaceSizeCache) );
+
+ if(verbose)
+ printf("Allocated and set up the GPU workspace\n");
+
+ // Sphinx: #7
+ /*******************************
+ * Initialize the pairwise contraction plan (for cuTENSOR).
+ *******************************/
+
+ cutensornetContractionPlan_t plan;
+ HANDLE_ERROR( cutensornetCreateContractionPlan(handle,
+ descNet,
+ optimizerInfo,
+ workDesc,
+ &plan) );
+
+ /*******************************
+ * Optional: Auto-tune cuTENSOR's cutensorContractionPlan to pick the fastest kernel
+ * for each pairwise tensor contraction.
+ *******************************/
+ cutensornetContractionAutotunePreference_t autotunePref;
+ HANDLE_ERROR( cutensornetCreateContractionAutotunePreference(handle,
+ &autotunePref) );
+
+ const int numAutotuningIterations = 5; // may be 0
+ HANDLE_ERROR( cutensornetContractionAutotunePreferenceSetAttribute(
+ handle,
+ autotunePref,
+ CUTENSORNET_CONTRACTION_AUTOTUNE_MAX_ITERATIONS,
+ &numAutotuningIterations,
+ sizeof(numAutotuningIterations)) );
+
+ // Modify the plan again to find the best pair-wise contractions
+ HANDLE_ERROR( cutensornetContractionAutotune(handle,
+ plan,
+ rawDataIn_d,
+ O_d,
+ workDesc,
+ autotunePref,
+ stream) );
+
+ HANDLE_ERROR( cutensornetDestroyContractionAutotunePreference(autotunePref) );
+
+ if(verbose)
+ printf("Created a contraction plan for cuTensorNet and optionally auto-tuned it\n");
+
+ // Sphinx: #8
+ /**********************
+ * Execute the tensor network contraction
+ **********************/
+
+ // Create a cutensornetSliceGroup_t object from a range of slice IDs
+ cutensornetSliceGroup_t sliceGroup{};
+ HANDLE_ERROR( cutensornetCreateSliceGroupFromIDRange(handle, 0, numSlices, 1, &sliceGroup) );
+
+ GPUTimer timer {stream};
+ double minTimeCUTENSORNET = 1e100;
+ double firstTimeCUTENSORNET = 1e100;
+ const int numRuns = 3; // number of repeats to get stable performance results
+ for (int i = 0; i < numRuns; ++i)
+ {
+ HANDLE_CUDA_ERROR( cudaMemcpy(O_d, O_h, sizeVec[numInputs], cudaMemcpyHostToDevice) ); // restore the output tensor on GPU
+ HANDLE_CUDA_ERROR( cudaDeviceSynchronize() );
+
+ /*
+ * Contract all slices of the tensor network
+ */
+ timer.start();
+
+ int32_t accumulateOutput = 0; // output tensor data will be overwritten
+ HANDLE_ERROR( cutensornetContractSlices(handle,
+ plan,
+ rawDataIn_d,
+ O_d,
+ accumulateOutput,
+ workDesc,
+ sliceGroup, // slternatively, NULL can also be used to contract over all slices instead of specifying a sliceGroup object
+ stream) );
+
+ // Synchronize and measure best timing
+ auto time = timer.seconds();
+ if (i == 0)
+ firstTimeCUTENSORNET = time;
+ minTimeCUTENSORNET = (time > minTimeCUTENSORNET) ? minTimeCUTENSORNET : time;
+ }
+
+ if(verbose)
+ printf("Contracted the tensor network, each slice used the same contraction plan\n");
+
+ // Print the 1-norm of the output tensor (verification)
+ HANDLE_CUDA_ERROR( cudaStreamSynchronize(stream) );
+ HANDLE_CUDA_ERROR( cudaMemcpy(O_h, O_d, sizeVec[numInputs], cudaMemcpyDeviceToHost) ); // restore the output tensor on Host
+ double norm1 = 0.0;
+ for (int64_t i = 0; i < elementsVec[numInputs]; ++i) {
+ norm1 += std::abs(O_h[i]);
+ }
+ if(verbose)
+ printf("Computed the 1-norm of the output tensor: %e\n", norm1);
+
+ /*************************/
+
+ // Query the total Flop count for the tensor network contraction
+ double flops {0.0};
+ HANDLE_ERROR( cutensornetContractionOptimizerInfoGetAttribute(
+ handle,
+ optimizerInfo,
+ CUTENSORNET_CONTRACTION_OPTIMIZER_INFO_FLOP_COUNT,
+ &flops,
+ sizeof(flops)) );
+
+ if(verbose) {
+ printf("Number of tensor network slices = %ld\n", numSlices);
+ printf("Network contraction flop cost = %e\n", flops);
+ printf("Tensor network contraction time (ms):\n");
+ printf("\tfirst run (intermediate tensors get cached) = %.3f\n", firstTimeCUTENSORNET * 1000.f);
+ printf("\tsubsequent run (cache reused) = %.3f\n", minTimeCUTENSORNET * 1000.f);
+ }
+
+ // Sphinx: #9
+ /***************
+ * Free resources
+ ****************/
+
+ // Free cuTensorNet resources
+ HANDLE_ERROR( cutensornetDestroySliceGroup(sliceGroup) );
+ HANDLE_ERROR( cutensornetDestroyContractionPlan(plan) );
+ HANDLE_ERROR( cutensornetDestroyWorkspaceDescriptor(workDesc) );
+ HANDLE_ERROR( cutensornetDestroyContractionOptimizerInfo(optimizerInfo) );
+ HANDLE_ERROR( cutensornetDestroyNetworkDescriptor(descNet) );
+ HANDLE_ERROR( cutensornetDestroy(handle) );
+
+ // Free Host memory resources
+ if (O_h) free(O_h);
+ for (int i = 0; i < numInputs; ++i)
+ {
+ if (rawDataIn_h[i])
+ free(rawDataIn_h[i]);
+ }
+ // Free GPU memory resources
+ if (workScratch) cudaFree(workScratch);
+ if (workCache) cudaFree(workCache);
+ if (O_d) cudaFree(O_d);
+ for (int i = 0; i < numInputs; ++i)
+ {
+ if (rawDataIn_d[i])
+ cudaFree(rawDataIn_d[i]);
+ }
+ if(verbose)
+ printf("Freed resources and exited\n");
+
+ return 0;
+}
