rocm-runtime-wrappers.cpp
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//===- rocm-runtime-wrappers.cpp - MLIR ROCM 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 ROCM 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 "hip/hip_runtime.h"
namespace {
int32_t reportErrorIfAny(hipError_t result, const char *where) {
if (result != hipSuccess) {
llvm::errs() << "HIP failed with " << result << " in " << where << "\n";
}
return result;
}
} // anonymous namespace
extern "C" int32_t mgpuModuleLoad(void **module, void *data) {
int32_t err = reportErrorIfAny(
hipModuleLoadData(reinterpret_cast<hipModule_t *>(module), data),
"ModuleLoad");
return err;
}
extern "C" int32_t mgpuModuleGetFunction(void **function, void *module,
const char *name) {
return reportErrorIfAny(
hipModuleGetFunction(reinterpret_cast<hipFunction_t *>(function),
reinterpret_cast<hipModule_t>(module), name),
"GetFunction");
}
// The wrapper uses intptr_t instead of ROCM'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" int32_t mgpuLaunchKernel(void *function, intptr_t gridX,
intptr_t gridY, intptr_t gridZ,
intptr_t blockX, intptr_t blockY,
intptr_t blockZ, int32_t smem, void *stream,
void **params, void **extra) {
return reportErrorIfAny(
hipModuleLaunchKernel(reinterpret_cast<hipFunction_t>(function), gridX,
gridY, gridZ, blockX, blockY, blockZ, smem,
reinterpret_cast<hipStream_t>(stream), params,
extra),
"LaunchKernel");
}
extern "C" void *mgpuGetStreamHelper() {
hipStream_t stream;
reportErrorIfAny(hipStreamCreate(&stream), "StreamCreate");
return stream;
}
extern "C" int32_t mgpuStreamSynchronize(void *stream) {
return reportErrorIfAny(
hipStreamSynchronize(reinterpret_cast<hipStream_t>(stream)),
"StreamSync");
}
/// Helper functions for writing mlir example code
// Allows to register byte array with the ROCM runtime. Helpful until we have
// transfer functions implemented.
extern "C" void mgpuMemHostRegister(void *ptr, uint64_t sizeBytes) {
reportErrorIfAny(hipHostRegister(ptr, sizeBytes, /*flags=*/0),
"MemHostRegister");
}
// Allows to register a MemRef with the ROCM runtime. Initializes array with
// value. Helpful until we have transfer functions implemented.
template <typename T>
void mgpuMemHostRegisterMemRef(T *pointer, llvm::ArrayRef<int64_t> sizes,
llvm::ArrayRef<int64_t> strides, T value) {
assert(sizes.size() == strides.size());
llvm::SmallVector<int64_t, 4> denseStrides(strides.size());
std::partial_sum(sizes.rbegin(), sizes.rend(), denseStrides.rbegin(),
std::multiplies<int64_t>());
auto count = denseStrides.front();
// Only densely packed tensors are currently supported.
std::rotate(denseStrides.begin(), denseStrides.begin() + 1,
denseStrides.end());
denseStrides.back() = 1;
assert(strides == llvm::makeArrayRef(denseStrides));
std::fill_n(pointer, count, value);
mgpuMemHostRegister(pointer, count * sizeof(T));
}
extern "C" void mgpuMemHostRegisterFloat(int64_t rank, void *ptr) {
auto *desc = static_cast<StridedMemRefType<float, 1> *>(ptr);
auto sizes = llvm::ArrayRef<int64_t>(desc->sizes, rank);
auto strides = llvm::ArrayRef<int64_t>(desc->sizes + rank, rank);
mgpuMemHostRegisterMemRef(desc->data + desc->offset, sizes, strides, 1.23f);
}
extern "C" void mgpuMemHostRegisterInt32(int64_t rank, void *ptr) {
auto *desc = static_cast<StridedMemRefType<int32_t, 1> *>(ptr);
auto sizes = llvm::ArrayRef<int64_t>(desc->sizes, rank);
auto strides = llvm::ArrayRef<int64_t>(desc->sizes + rank, rank);
mgpuMemHostRegisterMemRef(desc->data + desc->offset, sizes, strides, 123);
}
template <typename T>
void mgpuMemGetDevicePointer(T *hostPtr, T **devicePtr) {
reportErrorIfAny(hipSetDevice(0), "hipSetDevice");
reportErrorIfAny(
hipHostGetDevicePointer((void **)devicePtr, hostPtr, /*flags=*/0),
"hipHostGetDevicePointer");
}
extern "C" StridedMemRefType<float, 1>
mgpuMemGetDeviceMemRef1dFloat(float *allocated, float *aligned, int64_t offset,
int64_t size, int64_t stride) {
float *devicePtr = nullptr;
mgpuMemGetDevicePointer(aligned, &devicePtr);
return {devicePtr, devicePtr, offset, {size}, {stride}};
}
extern "C" StridedMemRefType<int32_t, 1>
mgpuMemGetDeviceMemRef1dInt32(int32_t *allocated, int32_t *aligned,
int64_t offset, int64_t size, int64_t stride) {
int32_t *devicePtr = nullptr;
mgpuMemGetDevicePointer(aligned, &devicePtr);
return {devicePtr, devicePtr, offset, {size}, {stride}};
}