| //===- cuda-runtime-wrappers.cpp - MLIR CUDA runner wrapper library -------===// |
| // |
| // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. |
| // See https://llvm.org/LICENSE.txt for license information. |
| // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception |
| // |
| //===----------------------------------------------------------------------===// |
| // |
| // Implements C wrappers around the CUDA library for easy linking in ORC jit. |
| // Also adds some debugging helpers that are helpful when writing MLIR code to |
| // run on GPUs. |
| // |
| //===----------------------------------------------------------------------===// |
| |
| #include <cassert> |
| #include <numeric> |
| |
| #include "mlir/ExecutionEngine/CRunnerUtils.h" |
| #include "llvm/ADT/ArrayRef.h" |
| #include "llvm/Support/raw_ostream.h" |
| |
| #include "cuda.h" |
| |
| #define CUDA_REPORT_IF_ERROR(expr) \ |
| [](CUresult result) { \ |
| if (!result) \ |
| return; \ |
| const char *name = nullptr; \ |
| cuGetErrorName(result, &name); \ |
| if (!name) \ |
| name = "<unknown>"; \ |
| llvm::errs() << "'" << #expr << "' failed with '" << name << "'\n"; \ |
| }(expr) |
| |
| // Static reference to CUDA primary context for device ordinal 0. |
| static CUcontext Context = [] { |
| CUDA_REPORT_IF_ERROR(cuInit(/*flags=*/0)); |
| CUdevice device; |
| CUDA_REPORT_IF_ERROR(cuDeviceGet(&device, /*ordinal=*/0)); |
| CUcontext context; |
| CUDA_REPORT_IF_ERROR(cuDevicePrimaryCtxRetain(&context, device)); |
| return context; |
| }(); |
| |
| // Sets the `Context` for the duration of the instance and restores the previous |
| // context on destruction. |
| class ScopedContext { |
| public: |
| ScopedContext() { |
| CUDA_REPORT_IF_ERROR(cuCtxGetCurrent(&previous)); |
| CUDA_REPORT_IF_ERROR(cuCtxSetCurrent(Context)); |
| } |
| |
| ~ScopedContext() { CUDA_REPORT_IF_ERROR(cuCtxSetCurrent(previous)); } |
| |
| private: |
| CUcontext previous; |
| }; |
| |
| extern "C" CUmodule mgpuModuleLoad(void *data) { |
| ScopedContext scopedContext; |
| CUmodule module = nullptr; |
| CUDA_REPORT_IF_ERROR(cuModuleLoadData(&module, data)); |
| return module; |
| } |
| |
| extern "C" void mgpuModuleUnload(CUmodule module) { |
| CUDA_REPORT_IF_ERROR(cuModuleUnload(module)); |
| } |
| |
| extern "C" CUfunction mgpuModuleGetFunction(CUmodule module, const char *name) { |
| CUfunction function = nullptr; |
| CUDA_REPORT_IF_ERROR(cuModuleGetFunction(&function, module, name)); |
| return function; |
| } |
| |
| // The wrapper uses intptr_t instead of CUDA's unsigned int to match |
| // the type of MLIR's index type. This avoids the need for casts in the |
| // generated MLIR code. |
| extern "C" void mgpuLaunchKernel(CUfunction function, intptr_t gridX, |
| intptr_t gridY, intptr_t gridZ, |
| intptr_t blockX, intptr_t blockY, |
| intptr_t blockZ, int32_t smem, CUstream stream, |
| void **params, void **extra) { |
| ScopedContext scopedContext; |
| CUDA_REPORT_IF_ERROR(cuLaunchKernel(function, gridX, gridY, gridZ, blockX, |
| blockY, blockZ, smem, stream, params, |
| extra)); |
| } |
| |
| extern "C" CUstream mgpuStreamCreate() { |
| ScopedContext scopedContext; |
| CUstream stream = nullptr; |
| CUDA_REPORT_IF_ERROR(cuStreamCreate(&stream, CU_STREAM_NON_BLOCKING)); |
| return stream; |
| } |
| |
| extern "C" void mgpuStreamDestroy(CUstream stream) { |
| CUDA_REPORT_IF_ERROR(cuStreamDestroy(stream)); |
| } |
| |
| extern "C" void mgpuStreamSynchronize(CUstream stream) { |
| CUDA_REPORT_IF_ERROR(cuStreamSynchronize(stream)); |
| } |
| |
| extern "C" void mgpuStreamWaitEvent(CUstream stream, CUevent event) { |
| CUDA_REPORT_IF_ERROR(cuStreamWaitEvent(stream, event, /*flags=*/0)); |
| } |
| |
| extern "C" CUevent mgpuEventCreate() { |
| ScopedContext scopedContext; |
| CUevent event = nullptr; |
| CUDA_REPORT_IF_ERROR(cuEventCreate(&event, CU_EVENT_DISABLE_TIMING)); |
| return event; |
| } |
| |
| extern "C" void mgpuEventDestroy(CUevent event) { |
| CUDA_REPORT_IF_ERROR(cuEventDestroy(event)); |
| } |
| |
| extern "C" void mgpuEventSynchronize(CUevent event) { |
| CUDA_REPORT_IF_ERROR(cuEventSynchronize(event)); |
| } |
| |
| extern "C" void mgpuEventRecord(CUevent event, CUstream stream) { |
| CUDA_REPORT_IF_ERROR(cuEventRecord(event, stream)); |
| } |
| |
| extern "C" void *mgpuMemAlloc(uint64_t sizeBytes, CUstream /*stream*/) { |
| ScopedContext scopedContext; |
| CUdeviceptr ptr; |
| CUDA_REPORT_IF_ERROR(cuMemAlloc(&ptr, sizeBytes)); |
| return reinterpret_cast<void *>(ptr); |
| } |
| |
| extern "C" void mgpuMemFree(void *ptr, CUstream /*stream*/) { |
| CUDA_REPORT_IF_ERROR(cuMemFree(reinterpret_cast<CUdeviceptr>(ptr))); |
| } |
| |
| extern "C" void mgpuMemcpy(void *dst, void *src, uint64_t sizeBytes, |
| CUstream stream) { |
| CUDA_REPORT_IF_ERROR(cuMemcpyAsync(reinterpret_cast<CUdeviceptr>(dst), |
| reinterpret_cast<CUdeviceptr>(src), |
| sizeBytes, stream)); |
| } |
| |
| /// Helper functions for writing mlir example code |
| |
| // Allows to register byte array with the CUDA runtime. Helpful until we have |
| // transfer functions implemented. |
| extern "C" void mgpuMemHostRegister(void *ptr, uint64_t sizeBytes) { |
| CUDA_REPORT_IF_ERROR(cuMemHostRegister(ptr, sizeBytes, /*flags=*/0)); |
| } |
| |
| // Allows to register a MemRef with the CUDA runtime. Helpful until we have |
| // transfer functions implemented. |
| extern "C" void |
| mgpuMemHostRegisterMemRef(int64_t rank, StridedMemRefType<char, 1> *descriptor, |
| int64_t elementSizeBytes) { |
| |
| llvm::SmallVector<int64_t, 4> denseStrides(rank); |
| llvm::ArrayRef<int64_t> sizes(descriptor->sizes, rank); |
| llvm::ArrayRef<int64_t> strides(sizes.end(), rank); |
| |
| std::partial_sum(sizes.rbegin(), sizes.rend(), denseStrides.rbegin(), |
| std::multiplies<int64_t>()); |
| auto sizeBytes = denseStrides.front() * elementSizeBytes; |
| |
| // Only densely packed tensors are currently supported. |
| std::rotate(denseStrides.begin(), denseStrides.begin() + 1, |
| denseStrides.end()); |
| denseStrides.back() = 1; |
| assert(strides == llvm::makeArrayRef(denseStrides)); |
| |
| auto ptr = descriptor->data + descriptor->offset * elementSizeBytes; |
| mgpuMemHostRegister(ptr, sizeBytes); |
| } |