[Hopper TMA] Add CUDA codegen support for bulk asynchronous copy (apa…

…che#15656)

* [Hopper TMA] Add CUDA codegen support for bulk asynchronous copy

* fix typo in comments; use barrier ptr and offset rather than string

include/tvm/tir/builtin.h

@@ -645,14 +645,29 @@ TVM_DLL const Op& ptx_mma_sp();
 TVM_DLL const Op& ptx_ldmatrix();
 
 /*!
- * \brief tvm intrinsics for ptx async copy from global to shared memory
- *
- * void ptx_cp_async(Var shared_ptr, Expr shared_offset, Var global_ptr, Expr global_offset, size_t
- * bytes);
+ * \brief tvm intrinsics for ptx async copy from global to shared memory using cp.async
  *
+ * void ptx_cp_async(Var shared_ptr,
+ *                   Expr shared_offset,
+ *                   Var global_ptr,
+ *                   Expr global_offset,
+ *                   size_t bytes);
  */
 TVM_DLL const Op& ptx_cp_async();
 
+/*!
+ * \brief tvm intrinsics for ptx async copy from global to shared memory using cp.async.bulk
+ *
+ * void ptx_cp_async(Var shared_ptr,
+ *                   Expr shared_offset,
+ *                   Var global_ptr,
+ *                   Expr global_offset,
+ *                   size_t bytes,
+ *                   Var barrier_ptr,
+ *                   Expr barrier_offset);
+ */
+TVM_DLL const Op& ptx_cp_async_bulk();
+
 /*!
  * \brief tvm intrinsics for ptx async copy commit and wait.
  *
@@ -666,31 +681,39 @@ TVM_DLL const Op& ptx_wait_group();
 /*!
  * \brief tvm intrinsics for ptx async copy barrier using cp.async.mbarrier.arrive
  *
- * ptx_cp_async_barrier(barrier_array, barrier_id)
+ * ptx_cp_async_barrier(Var barrier_ptr, Expr barrier_offset)
  *
  */
 TVM_DLL const Op& ptx_cp_async_barrier();
 
 /*!
  * \brief tvm intrinsics for ptx barrier initialization of thread count using mbarrier.init
  *
- * ptx_init_barrier_thread_count(barrier_array, barrier_id, thread_count)
+ * ptx_init_barrier_thread_count(Var barrier_ptr, Expr barrier_offset, int thread_count)
  *
  */
 TVM_DLL const Op& ptx_init_barrier_thread_count();
 
 /*!
  * \brief tvm intrinsics for ptx barrier arrival using mbarrier.arrive
  *
- * ptx_arrive_barrier(barrier_array, barrier_id)
+ * ptx_arrive_barrier(Var barrier_ptr, Expr barrier_offset)
  *
  */
 TVM_DLL const Op& ptx_arrive_barrier();
 
+/*!
+ * \brief tvm intrinsic for ptx barrier arrival with expect tx using mbarrier.arrive.expect_tx
+ *
+ * ptx_arrive_barrier_expect_tx(Var barrier_ptr, Expr barrier_offset, int byte_count)
+ *
+ */
+TVM_DLL const Op& ptx_arrive_barrier_expect_tx();
+
 /*!
  * \brief tvm intrinsics for ptx barrier wait using mbarrier.try_wait
  *
- * ptx_wait_barrier(barrier_array, barrier_id)
+ * ptx_wait_barrier(Var barrier_ptr, Expr barrier_offset)
  *
  */
 TVM_DLL const Op& ptx_wait_barrier();

python/tvm/script/ir_builder/tir/ir.py

@@ -1847,6 +1847,7 @@ def wrapped(*args, **kwargs):
 ptx_cp_async_barrier = _op_wrapper(_tir_op.ptx_cp_async_barrier)
 ptx_init_barrier_thread_count = _op_wrapper(_tir_op.ptx_init_barrier_thread_count)
 ptx_arrive_barrier = _op_wrapper(_tir_op.ptx_arrive_barrier)
+ptx_arrive_barrier_expect_tx = _op_wrapper(_tir_op.ptx_arrive_barrier_expect_tx)
 ptx_wait_barrier = _op_wrapper(_tir_op.ptx_wait_barrier)
 assume = _op_wrapper(_tir_op.assume)
 undef = _op_wrapper(_tir_op.undef)
@@ -1876,6 +1877,7 @@ def wrapped(*args, **kwargs):
 ptx_mma_sp = _dtype_forward(_tir_op.ptx_mma_sp)
 ptx_ldmatrix = _dtype_forward(_tir_op.ptx_ldmatrix)
 ptx_cp_async = _dtype_forward(_tir_op.ptx_cp_async)
+ptx_cp_async_bulk = _dtype_forward(_tir_op.ptx_cp_async_bulk)
 mma_store = _dtype_forward(_tir_op.mma_store)
 mma_fill = _dtype_forward(_tir_op.mma_fill)
 vectorlow = _dtype_forward(_tir_op.vectorlow)
@@ -2115,11 +2117,13 @@ def wrapped(*args, **kwargs):
     "ptx_mma_sp",
     "ptx_ldmatrix",
     "ptx_cp_async",
+    "ptx_cp_async_bulk",
     "ptx_wait_group",
     "ptx_commit_group",
     "ptx_cp_async_barrier",
     "ptx_init_barrier_thread_count",
     "ptx_arrive_barrier",
+    "ptx_arrive_barrier_expect_tx",
     "ptx_wait_barrier",
     "mma_store",
     "mma_fill",

python/tvm/tir/__init__.py

@@ -63,11 +63,13 @@
 from .op import (
     ptx_ldmatrix,
     ptx_cp_async,
+    ptx_cp_async_bulk,
     ptx_commit_group,
     ptx_wait_group,
     ptx_cp_async_barrier,
     ptx_init_barrier_thread_count,
     ptx_arrive_barrier,
+    ptx_arrive_barrier_expect_tx,
     ptx_wait_barrier,
 )
 from .op import vectorlow, vectorhigh, vectorcombine

python/tvm/tir/op.py

@@ -1335,7 +1335,7 @@ def ptx_ldmatrix(dtype, trans, num, type, local_ptr, local_offset, smem_ptr, sme
 
 
 def ptx_cp_async(dtype, shared_ptr, shared_offset, global_ptr, global_offset, bytes):
-    """TVM intrinsic for ptx async copy from global to shared memory
+    """TVM intrinsic for ptx async copy from global to shared memory using cp.async
     https://docs.nvidia.com/cuda/parallel-thread-execution/index.html#data-movement-and-conversion-instructions-cp-async
 
     Parameters
@@ -1368,6 +1368,56 @@ def ptx_cp_async(dtype, shared_ptr, shared_offset, global_ptr, global_offset, by
     )
 
 
+def ptx_cp_async_bulk(
+    dtype, shared_ptr, shared_offset, global_ptr, global_offset, bytes, barrier_ptr, barrier_offset
+):
+    """TVM intrinsic for ptx async copy from global to shared memory using cp.async.bulk
+    https://docs.nvidia.com/cuda/parallel-thread-execution/index.html#data-movement-and-conversion-instructions-cp-async-bulk
+
+    Parameters
+    ----------
+    dtype : str
+       The data type of the result.
+
+    shared_ptr : Var
+        The shared memory pointer variable.
+
+    shared_offset : Expr
+        The offset of shared memory pointer.
+
+    global_ptr : Var
+        The global memory pointer variable.
+
+    global_offset : Expr
+        The offset of global memory pointer.
+
+    bytes : int
+        The data size to copy.
+
+    barrier_ptr : Var
+        The barrier shared memory pointer variable.
+
+    barrier_id : int
+        The offset of the barrier shared memory pointer.
+
+    Returns
+    -------
+    call : PrimExpr
+        The call expression.
+    """
+    return call_intrin(
+        dtype,
+        "tir.ptx_cp_async_bulk",
+        shared_ptr,
+        shared_offset,
+        global_ptr,
+        global_offset,
+        bytes,
+        barrier_ptr,
+        barrier_offset,
+    )
+
+
 def ptx_commit_group():
     """TVM intrinsic for ptx async copy commit
     https://docs.nvidia.com/cuda/parallel-thread-execution/index.html#data-movement-and-conversion-instructions-cp-async-commit-group
@@ -1397,84 +1447,116 @@ def ptx_wait_group(num):
     return call_intrin("", "tir.ptx_wait_group", num)
 
 
-def ptx_cp_async_barrier(barrier_arr, barrier_id):
+def ptx_cp_async_barrier(barrier_ptr, barrier_offset):
     """TVM intrinsic for ptx async copy barrier using cp.async.mbarrier.arrive
     https://docs.nvidia.com/cuda/parallel-thread-execution/index.html#parallel-synchronization-and-communication-instructions-cp-async-mbarrier-arrive
 
     Parameters
     ----------
-    barrier_arr : string
-        The name of the barrier array in shared memory
+    barrier_ptr : Var
+        The barrier shared memory pointer variable.
+
     barrier_id : int
-        Index into the barrier array
+        The offset of the barrier shared memory pointer.
 
     Returns
     -------
     call : PrimExpr
         The call expression.
     """
-    return call_intrin("", "tir.ptx_cp_async_barrier", barrier_arr, barrier_id)
+    return call_intrin("", "tir.ptx_cp_async_barrier", barrier_ptr, barrier_offset)
 
 
-def ptx_init_barrier_thread_count(barrier_arr, barrier_id, thread_count):
+def ptx_init_barrier_thread_count(barrier_ptr, barrier_offset, thread_count):
     """TVM intrinsic for ptx barrier initialization of thread count using mbarrier.init
     https://docs.nvidia.com/cuda/parallel-thread-execution/index.html#parallel-synchronization-and-communication-instructions-mbarrier-init
 
     Parameters
     ----------
-    barrier_arr : string
-        The name of the barrier array in shared memory
+    barrier_ptr : Var
+        The barrier shared memory pointer variable.
+
     barrier_id : int
-        Index into the barrier array
+        The offset of the barrier shared memory pointer.
+
     thread_count : int
-        Number of threads expected to arrive at the barrier
+        Number of threads expected to arrive at the barrier.
 
     Returns
     -------
     call : PrimExpr
         The call expression.
     """
     return call_intrin(
-        "", "tir.ptx_init_barrier_thread_count", barrier_arr, barrier_id, thread_count
+        "", "tir.ptx_init_barrier_thread_count", barrier_ptr, barrier_offset, thread_count
     )
 
 
-def ptx_arrive_barrier(barrier_arr, barrier_id):
+def ptx_arrive_barrier(barrier_ptr, barrier_offset):
     """TVM intrinsic for ptx barrier arrival using mbarrier.arrive
     https://docs.nvidia.com/cuda/parallel-thread-execution/index.html#parallel-synchronization-and-communication-instructions-mbarrier-arrive
 
     Parameters
     ----------
-    barrier_arr : string
-        The name of the barrier array in shared memory
+    barrier_ptr : Var
+        The barrier shared memory pointer variable.
+
+    barrier_id : int
+        The offset of the barrier shared memory pointer.
+
+    Returns
+    -------
+    call : PrimExpr
+        The call expression.
+    """
+    return call_intrin("", "tir.ptx_arrive_barrier", barrier_ptr, barrier_offset)
+
+
+def ptx_arrive_barrier_expect_tx(barrier_ptr, barrier_offset, byte_count):
+    """TVM intrinsic for ptx barrier arrival with expect tx using mbarrier.arrive.expect_tx
+    https://docs.nvidia.com/cuda/parallel-thread-execution/index.html#parallel-synchronization-and-communication-instructions-mbarrier-arrive
+    https://docs.nvidia.com/cuda/parallel-thread-execution/index.html#parallel-synchronization-and-communication-instructions-mbarrier-expect-tx-operation
+
+    Parameters
+    ----------
+    barrier_ptr : Var
+        The barrier shared memory pointer variable.
+
     barrier_id : int
-        Index into the barrier array
+        The offset of the barrier shared memory pointer.
+
+    byte_count : int
+        Increases the tx count of the mbarrier object to track completion of
+        addtional async transactions.
 
     Returns
     -------
     call : PrimExpr
         The call expression.
     """
-    return call_intrin("", "tir.ptx_arrive_barrier", barrier_arr, barrier_id)
+    return call_intrin(
+        "", "tir.ptx_arrive_barrier_expect_tx", barrier_ptr, barrier_offset, byte_count
+    )
 
 
-def ptx_wait_barrier(barrier_arr, barrier_id):
+def ptx_wait_barrier(barrier_ptr, barrier_offset):
     """TVM intrinsic for ptx barrier wait using mbarrier.try_wait
     https://docs.nvidia.com/cuda/parallel-thread-execution/index.html#parallel-synchronization-and-communication-instructions-mbarrier-test-wait-mbarrier-try-wait
 
     Parameters
     ----------
-    barrier_arr : string
-        The name of the barrier array in shared memory
+    barrier_ptr : Var
+        The barrier shared memory pointer variable.
+
     barrier_id : int
-        Index into the barrier array
+        The offset of the barrier shared memory pointer.
 
     Returns
     -------
     call : PrimExpr
         The call expression.
     """
-    return call_intrin("", "tir.ptx_wait_barrier", barrier_arr, barrier_id)
+    return call_intrin("", "tir.ptx_wait_barrier", barrier_ptr, barrier_offset)
 
 
 def vectorlow(dtype, vec):