An experimental kernel dispatcher for numba_dpex.kernel decorator

.github/workflows/pre-commit.yml

@@ -8,9 +8,19 @@ on:
 jobs:
   pre-commit:
     runs-on: ubuntu-20.04
+    defaults:
+      run:
+        shell: bash -el {0}
     steps:
     - uses: actions/checkout@v3
-    - uses: actions/setup-python@v3
+    - uses: conda-incubator/setup-miniconda@v2
       with:
         python-version: '3.11'
-    - uses: pre-commit/[email protected]
+        activate-environment: "coverage"
+        channel-priority: "disabled"
+        environment-file: environment/pre-commit.yml
+    - uses: actions/cache@v3
+      with:
+        path: ~/.cache/pre-commit
+        key: pre-commit-3|${{ env.pythonLocation }}|${{ hashFiles('.pre-commit-config.yaml') }}
+    - run: pre-commit run --show-diff-on-failure --color=always --all-files

.pre-commit-config.yaml

@@ -47,3 +47,17 @@ repos:
         args: ["-i"]
         exclude: "numba_dpex/dpnp_iface"
         types_or: [c++, c]
+-   repo: local
+    hooks:
+    - id: pylint
+      name: pylint
+      entry: pylint
+      files: ^numba_dpex/experimental
+      language: system
+      types: [python]
+      require_serial: true
+      args:
+        [
+          "-rn", # Only display messages
+          "-sn", # Don't display the score
+        ]

environment/pre-commit.yml

@@ -0,0 +1,25 @@
+name: dev
+channels:
+  - dppy/label/dev
+  - numba
+  - intel
+  - conda-forge
+  - nodefaults
+dependencies:
+  - libffi
+  - gxx_linux-64
+  - dpcpp_linux-64
+  - numba==0.58*
+  - dpctl
+  - dpnp
+  - dpcpp-llvm-spirv
+  - opencl_rt
+  - coverage
+  - pytest
+  - pytest-cov
+  - pytest-xdist
+  - pexpect
+  - scikit-build>=0.15*
+  - cmake>=3.26*
+  - pre-commit
+  - pylint

numba_dpex/config.py

@@ -59,10 +59,15 @@ def __getattr__(name):
     "NUMBA_DPEX_DEBUGINFO", int, config.DEBUGINFO_DEFAULT
 )
 
-# Emit LLVM assembly language format(.ll)
-DUMP_KERNEL_LLVM = _readenv(
-    "NUMBA_DPEX_DUMP_KERNEL_LLVM", int, config.DUMP_OPTIMIZED
-)
+# Emit LLVM IR generated for kernel decorated function
+DUMP_KERNEL_LLVM = _readenv("NUMBA_DPEX_DUMP_KERNEL_LLVM", int, 0)
+
+# Emit LLVM module generated to launch a kernel decorated function
+DUMP_KERNEL_LAUNCHER = _readenv("NUMBA_DPEX_DUMP_KERNEL_LAUNCHER", int, 0)
+
+# Enables debug printf messages inside the kernel launcher module generated for
+# a kernel decorated function
+DEBUG_KERNEL_LAUNCHER = _readenv("NUMBA_DPEX_DEBUG_KERNEL_LAUNCHER", int, 0)
 
 # configs for caching
 # To see the debug messages for the caching.

numba_dpex/core/descriptor.py

@@ -38,11 +38,13 @@ def _inherit_if_not_set(flags, options, name, default=targetconfig._NotSet):
 class DpexTargetOptions(CPUTargetOptions):
     experimental = _option_mapping("experimental")
     release_gil = _option_mapping("release_gil")
+    no_compile = _option_mapping("no_compile")
 
     def finalize(self, flags, options):
         super().finalize(flags, options)
         _inherit_if_not_set(flags, options, "experimental", False)
         _inherit_if_not_set(flags, options, "release_gil", False)
+        _inherit_if_not_set(flags, options, "no_compile", True)
 
 
 class DpexKernelTarget(TargetDescriptor):

numba_dpex/core/exceptions.py

@@ -215,6 +215,12 @@ def __init__(self, kernel_name, *, usmarray_argnum_list) -> None:
                 f"usm_ndarray arguments {usmarray_args} were not allocated "
                 "on the same queue."
             )
+        else:
+            self.message = (
+                f'Execution queue for kernel "{kernel_name}" could '
+                "be deduced using compute follows data programming model. The "
+                "kernel has no USMNdArray argument."
+            )
         super().__init__(self.message)
 
 

numba_dpex/core/parfors/parfor_lowerer.py

@@ -3,9 +3,10 @@
 # SPDX-License-Identifier: Apache-2.0
 
 import copy
+from collections import namedtuple
 
 from llvmlite import ir as llvmir
-from numba.core import ir, types
+from numba.core import cgutils, ir, types
 from numba.parfors.parfor import (
     find_potential_aliases_parfor,
     get_parfor_outputs,
@@ -27,6 +28,12 @@
     create_reduction_remainder_kernel_for_parfor,
 )
 
+_KernelArgs = namedtuple(
+    "_KernelArgs",
+    ["num_flattened_args", "arg_vals", "arg_types"],
+)
+
+
 # A global list of kernels to keep the objects alive indefinitely.
 keep_alive_kernels = []
 
@@ -84,21 +91,7 @@ class ParforLowerImpl:
     for a parfor and submits it to a queue.
     """
 
-    def _get_exec_queue(self, kernel_fn, lowerer):
-        """Creates a stack variable storing the sycl queue pointer used to
-        launch the kernel function.
-        """
-        self.kernel_builder = KernelLaunchIRBuilder(
-            lowerer.context, lowerer.builder, kernel_fn.kernel.addressof_ref()
-        )
-
-        # Create a local variable storing a pointer to a DPCTLSyclQueueRef
-        # pointer.
-        self.curr_queue = self.kernel_builder.get_queue(
-            exec_queue=kernel_fn.queue
-        )
-
-    def _build_kernel_arglist(self, kernel_fn, lowerer):
+    def _build_kernel_arglist(self, kernel_fn, lowerer, kernel_builder):
         """Creates local variables for all the arguments and the argument types
         that are passes to the kernel function.
 
@@ -110,39 +103,43 @@ def _build_kernel_arglist(self, kernel_fn, lowerer):
             AssertionError: If the LLVM IR Value for an argument defined in
             Numba IR is not found.
         """
-        self.num_flattened_args = 0
+        num_flattened_args = 0
 
         # Compute number of args to be passed to the kernel. Note that the
         # actual number of kernel arguments is greater than the count of
         # kernel_fn.kernel_args as arrays get flattened.
         for arg_type in kernel_fn.kernel_arg_types:
             if isinstance(arg_type, DpnpNdArray):
                 datamodel = dpex_dmm.lookup(arg_type)
-                self.num_flattened_args += datamodel.flattened_field_count
+                num_flattened_args += datamodel.flattened_field_count
             elif arg_type == types.complex64 or arg_type == types.complex128:
-                self.num_flattened_args += 2
+                num_flattened_args += 2
             else:
-                self.num_flattened_args += 1
+                num_flattened_args += 1
 
         # Create LLVM values for the kernel args list and kernel arg types list
-        self.args_list = self.kernel_builder.allocate_kernel_arg_array(
-            self.num_flattened_args
-        )
-        self.args_ty_list = self.kernel_builder.allocate_kernel_arg_ty_array(
-            self.num_flattened_args
+        args_list = kernel_builder.allocate_kernel_arg_array(num_flattened_args)
+        args_ty_list = kernel_builder.allocate_kernel_arg_ty_array(
+            num_flattened_args
         )
         callargs_ptrs = []
         for arg in kernel_fn.kernel_args:
             callargs_ptrs.append(_getvar(lowerer, arg))
 
-        self.kernel_builder.populate_kernel_args_and_args_ty_arrays(
+        kernel_builder.populate_kernel_args_and_args_ty_arrays(
             kernel_argtys=kernel_fn.kernel_arg_types,
             callargs_ptrs=callargs_ptrs,
-            args_list=self.args_list,
-            args_ty_list=self.args_ty_list,
+            args_list=args_list,
+            args_ty_list=args_ty_list,
             datamodel_mgr=dpex_dmm,
         )
 
+        return _KernelArgs(
+            num_flattened_args=num_flattened_args,
+            arg_vals=args_list,
+            arg_types=args_ty_list,
+        )
+
     def _submit_parfor_kernel(
         self,
         lowerer,
@@ -156,9 +153,11 @@ def _submit_parfor_kernel(
         # Ensure that the Python arguments are kept alive for the duration of
         # the kernel execution
         keep_alive_kernels.append(kernel_fn.kernel)
+        kernel_builder = KernelLaunchIRBuilder(lowerer.context, lowerer.builder)
+
+        ptr_to_queue_ref = kernel_builder.get_queue(exec_queue=kernel_fn.queue)
+        args = self._build_kernel_arglist(kernel_fn, lowerer, kernel_builder)
 
-        self._get_exec_queue(kernel_fn, lowerer)
-        self._build_kernel_arglist(kernel_fn, lowerer)
         # Create a global range over which to submit the kernel based on the
         # loop_ranges of the parfor
         global_range = []
@@ -178,18 +177,26 @@ def _submit_parfor_kernel(
 
         local_range = []
 
+        kernel_ref_addr = kernel_fn.kernel.addressof_ref()
+        kernel_ref = lowerer.builder.inttoptr(
+            lowerer.context.get_constant(types.uintp, kernel_ref_addr),
+            cgutils.voidptr_t,
+        )
+        curr_queue_ref = lowerer.builder.load(ptr_to_queue_ref)
+
         # Submit a synchronous kernel
-        self.kernel_builder.submit_sync_kernel(
-            self.curr_queue,
-            self.num_flattened_args,
-            self.args_list,
-            self.args_ty_list,
-            global_range,
-            local_range,
+        kernel_builder.submit_sycl_kernel(
+            sycl_kernel_ref=kernel_ref,
+            sycl_queue_ref=curr_queue_ref,
+            total_kernel_args=args.num_flattened_args,
+            arg_list=args.arg_vals,
+            arg_ty_list=args.arg_types,
+            global_range=global_range,
+            local_range=local_range,
         )
 
         # At this point we can free the DPCTLSyclQueueRef (curr_queue)
-        self.kernel_builder.free_queue(sycl_queue_val=self.curr_queue)
+        kernel_builder.free_queue(ptr_to_sycl_queue_ref=ptr_to_queue_ref)
 
     def _submit_reduction_main_parfor_kernel(
         self,
@@ -204,9 +211,11 @@ def _submit_reduction_main_parfor_kernel(
         # Ensure that the Python arguments are kept alive for the duration of
         # the kernel execution
         keep_alive_kernels.append(kernel_fn.kernel)
+        kernel_builder = KernelLaunchIRBuilder(lowerer.context, lowerer.builder)
+
+        ptr_to_queue_ref = kernel_builder.get_queue(exec_queue=kernel_fn.queue)
 
-        self._get_exec_queue(kernel_fn, lowerer)
-        self._build_kernel_arglist(kernel_fn, lowerer)
+        args = self._build_kernel_arglist(kernel_fn, lowerer, kernel_builder)
         # Create a global range over which to submit the kernel based on the
         # loop_ranges of the parfor
         global_range = []
@@ -220,16 +229,27 @@ def _submit_reduction_main_parfor_kernel(
             _load_range(lowerer, reductionHelper.work_group_size)
         )
 
+        kernel_ref_addr = kernel_fn.kernel.addressof_ref()
+        kernel_ref = lowerer.builder.inttoptr(
+            lowerer.context.get_constant(types.uintp, kernel_ref_addr),
+            cgutils.voidptr_t,
+        )
+        curr_queue_ref = lowerer.builder.load(ptr_to_queue_ref)
+
         # Submit a synchronous kernel
-        self.kernel_builder.submit_sync_kernel(
-            self.curr_queue,
-            self.num_flattened_args,
-            self.args_list,
-            self.args_ty_list,
-            global_range,
-            local_range,
+        kernel_builder.submit_sycl_kernel(
+            sycl_kernel_ref=kernel_ref,
+            sycl_queue_ref=curr_queue_ref,
+            total_kernel_args=args.num_flattened_args,
+            arg_list=args.arg_vals,
+            arg_ty_list=args.arg_types,
+            global_range=global_range,
+            local_range=local_range,
         )
 
+        # At this point we can free the DPCTLSyclQueueRef (curr_queue)
+        kernel_builder.free_queue(ptr_to_sycl_queue_ref=ptr_to_queue_ref)
+
     def _submit_reduction_remainder_parfor_kernel(
         self,
         lowerer,
@@ -243,8 +263,11 @@ def _submit_reduction_remainder_parfor_kernel(
         # the kernel execution
         keep_alive_kernels.append(kernel_fn.kernel)
 
-        self._get_exec_queue(kernel_fn, lowerer)
-        self._build_kernel_arglist(kernel_fn, lowerer)
+        kernel_builder = KernelLaunchIRBuilder(lowerer.context, lowerer.builder)
+
+        ptr_to_queue_ref = kernel_builder.get_queue(exec_queue=kernel_fn.queue)
+
+        args = self._build_kernel_arglist(kernel_fn, lowerer, kernel_builder)
         # Create a global range over which to submit the kernel based on the
         # loop_ranges of the parfor
         global_range = []
@@ -255,16 +278,27 @@ def _submit_reduction_remainder_parfor_kernel(
 
         local_range = []
 
+        kernel_ref_addr = kernel_fn.kernel.addressof_ref()
+        kernel_ref = lowerer.builder.inttoptr(
+            lowerer.context.get_constant(types.uintp, kernel_ref_addr),
+            cgutils.voidptr_t,
+        )
+        curr_queue_ref = lowerer.builder.load(ptr_to_queue_ref)
+
         # Submit a synchronous kernel
-        self.kernel_builder.submit_sync_kernel(
-            self.curr_queue,
-            self.num_flattened_args,
-            self.args_list,
-            self.args_ty_list,
-            global_range,
-            local_range,
+        kernel_builder.submit_sycl_kernel(
+            sycl_kernel_ref=kernel_ref,
+            sycl_queue_ref=curr_queue_ref,
+            total_kernel_args=args.num_flattened_args,
+            arg_list=args.arg_vals,
+            arg_ty_list=args.arg_types,
+            global_range=global_range,
+            local_range=local_range,
         )
 
+        # At this point we can free the DPCTLSyclQueueRef (curr_queue)
+        kernel_builder.free_queue(ptr_to_sycl_queue_ref=ptr_to_queue_ref)
+
     def _reduction_codegen(
         self,
         parfor,

numba_dpex/core/parfors/reduction_helper.py

@@ -395,11 +395,7 @@ def work_group_size(self):
 
     def copy_final_sum_to_host(self, parfor_kernel):
         lowerer = self.lowerer
-        ir_builder = KernelLaunchIRBuilder(
-            lowerer.context,
-            lowerer.builder,
-            parfor_kernel.kernel.addressof_ref(),
-        )
+        ir_builder = KernelLaunchIRBuilder(lowerer.context, lowerer.builder)
 
         # Create a local variable storing a pointer to a DPCTLSyclQueueRef
         # pointer.
@@ -447,4 +443,4 @@ def copy_final_sum_to_host(self, parfor_kernel):
             sycl.dpctl_event_wait(builder, event_ref)
             sycl.dpctl_event_delete(builder, event_ref)
 
-        ir_builder.free_queue(sycl_queue_val=curr_queue)
+        ir_builder.free_queue(ptr_to_sycl_queue_ref=curr_queue)