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//===- cuda-runtime-wrappers.cpp - MLIR CUDA runner wrapper library -------===//
//
// Copyright 2019 The MLIR Authors.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// =============================================================================
//
// 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 <assert.h>
#include <memory.h>
#include "llvm/Support/raw_ostream.h"
#include "cuda.h"
namespace {
int32_t reportErrorIfAny(CUresult result, const char *where) {
if (result != CUDA_SUCCESS) {
llvm::errs() << "CUDA failed with " << result << " in " << where << "\n";
}
return result;
}
} // anonymous namespace
extern "C" int32_t mcuModuleLoad(void **module, void *data) {
int32_t err = reportErrorIfAny(
cuModuleLoadData(reinterpret_cast<CUmodule *>(module), data),
"ModuleLoad");
return err;
}
extern "C" int32_t mcuModuleGetFunction(void **function, void *module,
const char *name) {
return reportErrorIfAny(
cuModuleGetFunction(reinterpret_cast<CUfunction *>(function),
reinterpret_cast<CUmodule>(module), name),
"GetFunction");
}
// 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" int32_t mcuLaunchKernel(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(
cuLaunchKernel(reinterpret_cast<CUfunction>(function), gridX, gridY,
gridZ, blockX, blockY, blockZ, smem,
reinterpret_cast<CUstream>(stream), params, extra),
"LaunchKernel");
}
extern "C" void *mcuGetStreamHelper() {
CUstream stream;
reportErrorIfAny(cuStreamCreate(&stream, CU_STREAM_DEFAULT), "StreamCreate");
return stream;
}
extern "C" int32_t mcuStreamSynchronize(void *stream) {
return reportErrorIfAny(
cuStreamSynchronize(reinterpret_cast<CUstream>(stream)), "StreamSync");
}
/// Helper functions for writing mlir example code
// A struct that corresponds to how MLIR represents memrefs.
template <typename T, int N> struct MemRefType {
T *basePtr;
T *data;
int64_t offset;
int64_t sizes[N];
int64_t strides[N];
};
// Allows to register a pointer with the CUDA runtime. Helpful until
// we have transfer functions implemented.
extern "C" void mcuMemHostRegister(const MemRefType<float, 1> *arg,
int32_t flags) {
reportErrorIfAny(
cuMemHostRegister(arg->data, arg->sizes[0] * sizeof(float), flags),
"MemHostRegister");
for (int pos = 0; pos < arg->sizes[0]; pos++) {
arg->data[pos] = 1.23f;
}
}
// Allows to register a pointer with the CUDA runtime. Helpful until
// we have transfer functions implemented.
extern "C" void mcuMemHostRegisterPtr(void *ptr, int32_t flags) {
reportErrorIfAny(cuMemHostRegister(ptr, sizeof(void *), flags),
"MemHostRegister");
}
/// Prints the given float array to stderr.
extern "C" void mcuPrintFloat(const MemRefType<float, 1> *arg) {
if (arg->sizes[0] == 0) {
llvm::outs() << "[]\n";
return;
}
llvm::outs() << "[" << arg->data[0];
for (int pos = 1; pos < arg->sizes[0]; pos++) {
llvm::outs() << ", " << arg->data[pos];
}
llvm::outs() << "]\n";
}
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