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SYCL runtime wrapper: add memcpy support. #141647

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May 28, 2025
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10 changes: 7 additions & 3 deletions mlir/lib/ExecutionEngine/SyclRuntimeWrappers.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -10,9 +10,9 @@
//
//===----------------------------------------------------------------------===//

#include <CL/sycl.hpp>
#include <level_zero/ze_api.h>
#include <sycl/ext/oneapi/backend/level_zero.hpp>
#include <sycl/sycl.hpp>

#ifdef _WIN32
#define SYCL_RUNTIME_EXPORT __declspec(dllexport)
Expand Down Expand Up @@ -81,8 +81,7 @@ static void *allocDeviceMemory(sycl::queue *queue, size_t size, bool isShared) {
memPtr = sycl::aligned_alloc_shared(64, size, getDefaultDevice(),
getDefaultContext());
} else {
memPtr = sycl::aligned_alloc_device(64, size, getDefaultDevice(),
getDefaultContext());
memPtr = sycl::aligned_alloc_device(64, size, *queue);
}
if (memPtr == nullptr) {
throw std::runtime_error("mem allocation failed!");
Expand Down Expand Up @@ -208,3 +207,8 @@ mgpuModuleUnload(ze_module_handle_t module) {

catchAll([&]() { L0_SAFE_CALL(zeModuleDestroy(module)); });
}

extern "C" SYCL_RUNTIME_EXPORT void
mgpuMemcpy(void *dst, void *src, size_t sizeBytes, sycl::queue *queue) {
catchAll([&]() { queue->memcpy(dst, src, sizeBytes).wait(); });
}
53 changes: 53 additions & 0 deletions mlir/test/Integration/GPU/SYCL/gpu-memcpy-addf32-to-spirv.mlir
Original file line number Diff line number Diff line change
@@ -0,0 +1,53 @@
// RUN: mlir-opt %s -pass-pipeline='builtin.module(func.func(gpu-async-region),spirv-attach-target{ver=v1.0 caps=Addresses,Int64,Kernel},convert-gpu-to-spirv{use-64bit-index=true},gpu.module(spirv.module(spirv-lower-abi-attrs,spirv-update-vce)),func.func(llvm-request-c-wrappers),convert-scf-to-cf,convert-cf-to-llvm,convert-arith-to-llvm,convert-math-to-llvm,convert-func-to-llvm,gpu-to-llvm{use-bare-pointers-for-kernels=true},gpu-module-to-binary,expand-strided-metadata,lower-affine,finalize-memref-to-llvm,reconcile-unrealized-casts)' \
// RUN: | mlir-runner \
// RUN: --shared-libs=%mlir_sycl_runtime \
// RUN: --shared-libs=%mlir_runner_utils \
// RUN: --entry-point-result=void \
// RUN: | FileCheck %s

module @add attributes {gpu.container_module} {
memref.global "private" constant @__constant_2x2x2xf32_0 : memref<2x2x2xf32> = dense<[[[1.1, 2.2], [3.3, 4.4]], [[5.5, 6.6], [7.7, 8.8 ]]]>
memref.global "private" constant @__constant_2x2x2xf32 : memref<2x2x2xf32> = dense<[[[1.2, 2.3], [4.5, 5.8]], [[7.2, 8.3], [10.5, 11.8]]]>
func.func @main() {
%0 = memref.get_global @__constant_2x2x2xf32 : memref<2x2x2xf32>
%1 = memref.get_global @__constant_2x2x2xf32_0 : memref<2x2x2xf32>
%2 = call @test(%0, %1) : (memref<2x2x2xf32>, memref<2x2x2xf32>) -> memref<2x2x2xf32>
%cast = memref.cast %2 : memref<2x2x2xf32> to memref<*xf32>
call @printMemrefF32(%cast) : (memref<*xf32>) -> ()
memref.dealloc %2 : memref<2x2x2xf32>
return
}
func.func private @printMemrefF32(memref<*xf32>)
func.func @test(%arg0: memref<2x2x2xf32>, %arg1: memref<2x2x2xf32>) -> memref<2x2x2xf32> {
%c2 = arith.constant 2 : index
%c1 = arith.constant 1 : index
%memref = gpu.alloc () : memref<2x2x2xf32>
gpu.memcpy %memref, %arg0 : memref<2x2x2xf32>, memref<2x2x2xf32>
%memref_0 = gpu.alloc () : memref<2x2x2xf32>
gpu.memcpy %memref_0, %arg1 : memref<2x2x2xf32>, memref<2x2x2xf32>
%memref_1 = gpu.alloc () : memref<2x2x2xf32>
gpu.launch_func @test_kernel::@test_kernel blocks in (%c2, %c2, %c2) threads in (%c1, %c1, %c1) args(%memref : memref<2x2x2xf32>, %memref_0 : memref<2x2x2xf32>, %memref_1 : memref<2x2x2xf32>)
%alloc = memref.alloc() : memref<2x2x2xf32>
gpu.memcpy %alloc, %memref_1 : memref<2x2x2xf32>, memref<2x2x2xf32>
gpu.dealloc %memref_1 : memref<2x2x2xf32>
gpu.dealloc %memref_0 : memref<2x2x2xf32>
gpu.dealloc %memref : memref<2x2x2xf32>
return %alloc : memref<2x2x2xf32>
}
gpu.module @test_kernel attributes {spirv.target_env = #spirv.target_env<#spirv.vce<v1.0, [Addresses, Int64, Kernel], []>, api=OpenCL, #spirv.resource_limits<>>} {
gpu.func @test_kernel(%arg0: memref<2x2x2xf32>, %arg1: memref<2x2x2xf32>, %arg2: memref<2x2x2xf32>) kernel attributes {gpu.known_block_size = array<i32: 1, 1, 1>, gpu.known_grid_size = array<i32: 2, 2, 2>, spirv.entry_point_abi = #spirv.entry_point_abi<>} {
%0 = gpu.block_id x
%1 = gpu.block_id y
%2 = gpu.block_id z
%3 = memref.load %arg0[%0, %1, %2] : memref<2x2x2xf32>
%4 = memref.load %arg1[%0, %1, %2] : memref<2x2x2xf32>
%5 = arith.addf %3, %4 : f32
memref.store %5, %arg2[%0, %1, %2] : memref<2x2x2xf32>
gpu.return
}
}
// CHECK: [2.3, 4.5]
// CHECK: [7.8, 10.2]
// CHECK: [12.7, 14.9]
// CHECK: [18.2, 20.6]
}
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