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GPUToLLVMConversion.cpp
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//===- ConvertLaunchFuncToGpuRuntimeCalls.cpp - MLIR GPU lowering passes --===//
//
// 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
//
//===----------------------------------------------------------------------===//
//
// This file implements a pass to convert gpu.launch_func op into a sequence of
// GPU runtime calls. As most of GPU runtimes does not have a stable published
// ABI, this pass uses a slim runtime layer that builds on top of the public
// API from GPU runtime headers.
//
//===----------------------------------------------------------------------===//
#include "mlir/Conversion/GPUCommon/GPUCommonPass.h"
#include "mlir/Conversion/ArithToLLVM/ArithToLLVM.h"
#include "mlir/Conversion/AsyncToLLVM/AsyncToLLVM.h"
#include "mlir/Conversion/ControlFlowToLLVM/ControlFlowToLLVM.h"
#include "mlir/Conversion/ConvertToLLVM/ToLLVMInterface.h"
#include "mlir/Conversion/ConvertToLLVM/ToLLVMPass.h"
#include "mlir/Conversion/FuncToLLVM/ConvertFuncToLLVM.h"
#include "mlir/Conversion/FuncToLLVM/ConvertFuncToLLVMPass.h"
#include "mlir/Conversion/LLVMCommon/ConversionTarget.h"
#include "mlir/Conversion/LLVMCommon/Pattern.h"
#include "mlir/Conversion/MemRefToLLVM/MemRefToLLVM.h"
#include "mlir/Conversion/VectorToLLVM/ConvertVectorToLLVM.h"
#include "mlir/Dialect/Async/IR/Async.h"
#include "mlir/Dialect/GPU/IR/GPUDialect.h"
#include "mlir/Dialect/GPU/Transforms/Passes.h"
#include "mlir/Dialect/LLVMIR/LLVMDialect.h"
#include "mlir/Dialect/MemRef/IR/MemRef.h"
#include "mlir/IR/Attributes.h"
#include "mlir/IR/Builders.h"
#include "mlir/IR/BuiltinOps.h"
#include "mlir/IR/BuiltinTypes.h"
#include "llvm/ADT/STLExtras.h"
#include "llvm/Support/Error.h"
#include "llvm/Support/FormatVariadic.h"
#define DEBUG_TYPE "gpu-to-llvm"
namespace mlir {
#define GEN_PASS_DEF_GPUTOLLVMCONVERSIONPASS
#include "mlir/Conversion/Passes.h.inc"
} // namespace mlir
using namespace mlir;
static constexpr const char *kGpuBinaryStorageSuffix = "_gpubin_cst";
namespace {
class GpuToLLVMConversionPass
: public impl::GpuToLLVMConversionPassBase<GpuToLLVMConversionPass> {
public:
using Base::Base;
void getDependentDialects(DialectRegistry ®istry) const final {
Base::getDependentDialects(registry);
registerConvertToLLVMDependentDialectLoading(registry);
}
// Run the dialect converter on the module.
void runOnOperation() override;
};
template <typename OpTy>
class ConvertOpToGpuRuntimeCallPattern : public ConvertOpToLLVMPattern<OpTy> {
public:
explicit ConvertOpToGpuRuntimeCallPattern(
const LLVMTypeConverter &typeConverter)
: ConvertOpToLLVMPattern<OpTy>(typeConverter) {}
protected:
Value getNumElements(ConversionPatternRewriter &rewriter, Location loc,
MemRefType type, MemRefDescriptor desc) const {
Type indexType = ConvertToLLVMPattern::getIndexType();
return type.hasStaticShape()
? ConvertToLLVMPattern::createIndexAttrConstant(
rewriter, loc, indexType, type.getNumElements())
// For identity maps (verified by caller), the number of
// elements is stride[0] * size[0].
: rewriter.create<LLVM::MulOp>(loc,
desc.stride(rewriter, loc, 0),
desc.size(rewriter, loc, 0));
}
MLIRContext *context = &this->getTypeConverter()->getContext();
Type llvmVoidType = LLVM::LLVMVoidType::get(context);
LLVM::LLVMPointerType llvmPointerType = LLVM::LLVMPointerType::get(context);
Type llvmInt8Type = IntegerType::get(context, 8);
Type llvmInt16Type = IntegerType::get(context, 16);
Type llvmInt32Type = IntegerType::get(context, 32);
Type llvmInt64Type = IntegerType::get(context, 64);
Type llvmFloat32Type = Float32Type::get(context);
Type llvmIntPtrType = IntegerType::get(
context, this->getTypeConverter()->getPointerBitwidth(0));
FunctionCallBuilder moduleLoadCallBuilder = {
"mgpuModuleLoad",
llvmPointerType /* void *module */,
{llvmPointerType /* void *cubin */, llvmInt64Type /* size_t size */}};
FunctionCallBuilder moduleUnloadCallBuilder = {
"mgpuModuleUnload", llvmVoidType, {llvmPointerType /* void *module */}};
FunctionCallBuilder moduleGetFunctionCallBuilder = {
"mgpuModuleGetFunction",
llvmPointerType /* void *function */,
{
llvmPointerType, /* void *module */
llvmPointerType /* char *name */
}};
FunctionCallBuilder launchKernelCallBuilder = {
"mgpuLaunchKernel",
llvmVoidType,
{
llvmPointerType, /* void* f */
llvmIntPtrType, /* intptr_t gridXDim */
llvmIntPtrType, /* intptr_t gridyDim */
llvmIntPtrType, /* intptr_t gridZDim */
llvmIntPtrType, /* intptr_t blockXDim */
llvmIntPtrType, /* intptr_t blockYDim */
llvmIntPtrType, /* intptr_t blockZDim */
llvmInt32Type, /* unsigned int sharedMemBytes */
llvmPointerType, /* void *hstream */
llvmPointerType, /* void **kernelParams */
llvmPointerType, /* void **extra */
llvmInt64Type /* size_t paramsCount */
}};
FunctionCallBuilder streamCreateCallBuilder = {
"mgpuStreamCreate", llvmPointerType /* void *stream */, {}};
FunctionCallBuilder streamDestroyCallBuilder = {
"mgpuStreamDestroy", llvmVoidType, {llvmPointerType /* void *stream */}};
FunctionCallBuilder streamSynchronizeCallBuilder = {
"mgpuStreamSynchronize",
llvmVoidType,
{llvmPointerType /* void *stream */}};
FunctionCallBuilder streamWaitEventCallBuilder = {
"mgpuStreamWaitEvent",
llvmVoidType,
{llvmPointerType /* void *stream */, llvmPointerType /* void *event */}};
FunctionCallBuilder eventCreateCallBuilder = {
"mgpuEventCreate", llvmPointerType /* void *event */, {}};
FunctionCallBuilder eventDestroyCallBuilder = {
"mgpuEventDestroy", llvmVoidType, {llvmPointerType /* void *event */}};
FunctionCallBuilder eventSynchronizeCallBuilder = {
"mgpuEventSynchronize",
llvmVoidType,
{llvmPointerType /* void *event */}};
FunctionCallBuilder eventRecordCallBuilder = {
"mgpuEventRecord",
llvmVoidType,
{llvmPointerType /* void *event */, llvmPointerType /* void *stream */}};
FunctionCallBuilder hostRegisterCallBuilder = {
"mgpuMemHostRegisterMemRef",
llvmVoidType,
{llvmIntPtrType /* intptr_t rank */,
llvmPointerType /* void *memrefDesc */,
llvmIntPtrType /* intptr_t elementSizeBytes */}};
FunctionCallBuilder hostUnregisterCallBuilder = {
"mgpuMemHostUnregisterMemRef",
llvmVoidType,
{llvmIntPtrType /* intptr_t rank */,
llvmPointerType /* void *memrefDesc */,
llvmIntPtrType /* intptr_t elementSizeBytes */}};
FunctionCallBuilder allocCallBuilder = {
"mgpuMemAlloc",
llvmPointerType /* void * */,
{llvmIntPtrType /* intptr_t sizeBytes */,
llvmPointerType /* void *stream */,
llvmInt8Type /* bool isHostShared */}};
FunctionCallBuilder deallocCallBuilder = {
"mgpuMemFree",
llvmVoidType,
{llvmPointerType /* void *ptr */, llvmPointerType /* void *stream */}};
FunctionCallBuilder memcpyCallBuilder = {
"mgpuMemcpy",
llvmVoidType,
{llvmPointerType /* void *dst */, llvmPointerType /* void *src */,
llvmIntPtrType /* intptr_t sizeBytes */,
llvmPointerType /* void *stream */}};
FunctionCallBuilder memset16CallBuilder = {
"mgpuMemset16",
llvmVoidType,
{llvmPointerType /* void *dst */,
llvmInt16Type /* unsigned short value */,
llvmIntPtrType /* intptr_t sizeBytes */,
llvmPointerType /* void *stream */}};
FunctionCallBuilder memset32CallBuilder = {
"mgpuMemset32",
llvmVoidType,
{llvmPointerType /* void *dst */, llvmInt32Type /* unsigned int value */,
llvmIntPtrType /* intptr_t sizeBytes */,
llvmPointerType /* void *stream */}};
FunctionCallBuilder setDefaultDeviceCallBuilder = {
"mgpuSetDefaultDevice",
llvmVoidType,
{llvmInt32Type /* uint32_t devIndex */}};
FunctionCallBuilder createDnVecCallBuilder = {
"mgpuCreateDnVec",
llvmPointerType,
{llvmIntPtrType, llvmPointerType, llvmInt32Type,
llvmPointerType /* void *stream */}};
FunctionCallBuilder destroyDnVecCallBuilder = {
"mgpuDestroyDnVec",
llvmVoidType,
{llvmPointerType, llvmPointerType /* void *stream */}};
FunctionCallBuilder createDnMatCallBuilder = {
"mgpuCreateDnMat",
llvmPointerType,
{llvmIntPtrType, llvmIntPtrType, llvmPointerType, llvmInt32Type,
llvmPointerType /* void *stream */}};
FunctionCallBuilder destroyDnMatCallBuilder = {
"mgpuDestroyDnMat",
llvmVoidType,
{llvmPointerType, llvmPointerType /* void *stream */}};
FunctionCallBuilder createCooCallBuilder = {
"mgpuCreateCoo",
llvmPointerType,
{llvmIntPtrType, llvmIntPtrType, llvmIntPtrType, llvmPointerType,
llvmPointerType, llvmPointerType, llvmInt32Type, llvmInt32Type,
llvmPointerType /* void *stream */}};
FunctionCallBuilder createCooAoSCallBuilder = {
"mgpuCreateCooAoS", // deprecated in cuSPARSE 11.2
llvmPointerType,
{llvmIntPtrType, llvmIntPtrType, llvmIntPtrType, llvmPointerType,
llvmPointerType, llvmInt32Type, llvmInt32Type,
llvmPointerType /* void *stream */}};
FunctionCallBuilder createCsrCallBuilder = {
"mgpuCreateCsr",
llvmPointerType,
{llvmIntPtrType, llvmIntPtrType, llvmIntPtrType, llvmPointerType,
llvmPointerType, llvmPointerType, llvmInt32Type, llvmInt32Type,
llvmInt32Type, llvmPointerType /* void *stream */}};
FunctionCallBuilder createCscCallBuilder = {
"mgpuCreateCsc",
llvmPointerType,
{llvmIntPtrType, llvmIntPtrType, llvmIntPtrType, llvmPointerType,
llvmPointerType, llvmPointerType, llvmInt32Type, llvmInt32Type,
llvmInt32Type, llvmPointerType /* void *stream */}};
FunctionCallBuilder createBsrCallBuilder = {
"mgpuCreateBsr",
llvmPointerType,
{llvmIntPtrType, llvmIntPtrType, llvmIntPtrType, llvmIntPtrType,
llvmIntPtrType, llvmPointerType, llvmPointerType, llvmPointerType,
llvmInt32Type, llvmInt32Type, llvmInt32Type,
llvmPointerType /* void *stream */}};
FunctionCallBuilder destroySpMatCallBuilder = {
"mgpuDestroySpMat",
llvmVoidType,
{llvmPointerType, llvmPointerType /* void *stream */}};
FunctionCallBuilder spMVBufferSizeCallBuilder = {
"mgpuSpMVBufferSize",
llvmIntPtrType,
{llvmInt32Type, llvmPointerType, llvmPointerType, llvmPointerType,
llvmInt32Type, llvmPointerType /* void *stream */}};
FunctionCallBuilder spMVCallBuilder = {
"mgpuSpMV",
llvmVoidType,
{llvmInt32Type, llvmPointerType, llvmPointerType, llvmPointerType,
llvmInt32Type, llvmPointerType, llvmPointerType /* void *stream */}};
FunctionCallBuilder createSpMMBufferSizeCallBuilder = {
"mgpuSpMMBufferSize",
llvmIntPtrType,
{llvmInt32Type, llvmInt32Type, llvmPointerType, llvmPointerType,
llvmPointerType, llvmInt32Type, llvmPointerType /* void *stream */}};
FunctionCallBuilder createSpMMCallBuilder = {
"mgpuSpMM",
llvmVoidType,
{llvmInt32Type, llvmInt32Type, llvmPointerType, llvmPointerType,
llvmPointerType, llvmInt32Type, llvmPointerType,
llvmPointerType /* void *stream */}};
FunctionCallBuilder createSDDMMBufferSizeCallBuilder = {
"mgpuSDDMMBufferSize",
llvmIntPtrType,
{llvmInt32Type, llvmInt32Type, llvmPointerType, llvmPointerType,
llvmPointerType, llvmInt32Type, llvmPointerType /* void *stream */}};
FunctionCallBuilder createSDDMMCallBuilder = {
"mgpuSDDMM",
llvmVoidType,
{llvmInt32Type, llvmInt32Type, llvmPointerType, llvmPointerType,
llvmPointerType, llvmInt32Type, llvmPointerType,
llvmPointerType /* void *stream */}};
FunctionCallBuilder createLtDnMatCallBuilder = {
"mgpuCreateCuSparseLtDnMat",
llvmVoidType,
{llvmPointerType, llvmIntPtrType, llvmIntPtrType, llvmPointerType,
llvmInt32Type, llvmPointerType /* void *stream */}};
FunctionCallBuilder destroyCuSparseLtSpMatBuilder = {
"mgpuDestroyCuSparseLtSpMat",
llvmVoidType,
{llvmPointerType, llvmPointerType /* void *stream */}};
FunctionCallBuilder destroyCuSparseLtDnMatBuilder = {
"mgpuDestroyCuSparseLtDnMat",
llvmVoidType,
{llvmPointerType, llvmPointerType /* void *stream */}};
FunctionCallBuilder create2To4SpMatCallBuilder = {
"mgpuCusparseLtCreate2To4SpMat",
llvmVoidType,
{llvmPointerType, llvmIntPtrType, llvmIntPtrType, llvmPointerType,
llvmInt32Type, llvmPointerType /* void *stream */}};
FunctionCallBuilder createCuSparseLtSpMMBufferSizeBuilder = {
"mgpuCuSparseLtSpMMBufferSize",
llvmVoidType,
{llvmPointerType, llvmInt32Type, llvmInt32Type, llvmPointerType,
llvmPointerType, llvmPointerType, llvmInt32Type, llvmInt32Type,
llvmPointerType /*void *stream*/}};
FunctionCallBuilder createCuSparseLtSpMMBuilder = {
"mgpuCuSparseLtSpMM",
llvmVoidType,
{llvmPointerType, llvmPointerType, llvmPointerType, llvmPointerType,
llvmPointerType, llvmPointerType, llvmPointerType /*void *stream*/}};
FunctionCallBuilder createSpGEMMCreateDescrBuilder = {
"mgpuSpGEMMCreateDescr",
llvmPointerType,
{llvmPointerType /*void *stream*/}};
FunctionCallBuilder createSpGEMMDestroyDescrBuilder = {
"mgpuSpGEMMDestroyDescr",
llvmVoidType,
{llvmPointerType /*s*/, llvmPointerType /*void *stream*/}};
FunctionCallBuilder createSpGEMMWorkEstimationBuilder = {
"mgpuSpGEMMWorkEstimation",
llvmIntPtrType,
{llvmPointerType /*s*/, llvmInt32Type /*ma*/, llvmInt32Type /*mb*/,
llvmPointerType /*a*/, llvmPointerType /*b*/, llvmPointerType /*c*/,
llvmInt32Type /*ctp*/, llvmIntPtrType /*bs*/, llvmPointerType /*buf*/,
llvmPointerType /*void *stream*/}};
FunctionCallBuilder createSpGEMMComputeBuilder = {
"mgpuSpGEMMCompute",
llvmIntPtrType,
{llvmPointerType /*s*/, llvmInt32Type /*ma*/, llvmInt32Type /*mb*/,
llvmPointerType /*a*/, llvmPointerType /*b*/, llvmPointerType /*c*/,
llvmInt32Type /*ctp*/, llvmIntPtrType /*bs*/, llvmPointerType /*buf*/,
llvmPointerType /*void *stream*/}};
FunctionCallBuilder createSpGEMMCopyBuilder = {
"mgpuSpGEMMCopy",
llvmVoidType,
{llvmPointerType /*s*/, llvmInt32Type /*ma*/, llvmInt32Type /*mb*/,
llvmPointerType /*a*/, llvmPointerType /*b*/, llvmPointerType /*c*/,
llvmInt32Type /*ctp*/, llvmPointerType /*void *stream*/}};
FunctionCallBuilder createSpMatGetSizeBuilder = {
"mgpuSpMatGetSize",
llvmVoidType,
{llvmPointerType /*mc*/, llvmPointerType /*rc*/, llvmPointerType /*cc*/,
llvmPointerType /*nc*/, llvmPointerType /*void *stream*/}};
FunctionCallBuilder createSetCsrPointersBuilder = {
"mgpuSetCsrPointers",
llvmVoidType,
{llvmPointerType /*spmat*/, llvmPointerType /*pos*/,
llvmPointerType /*crd*/, llvmPointerType /*val*/,
llvmPointerType /*void *stream*/}};
};
/// A rewrite pattern to convert gpu.host_register operations into a GPU runtime
/// call. Currently it supports CUDA and ROCm (HIP).
class ConvertHostRegisterOpToGpuRuntimeCallPattern
: public ConvertOpToGpuRuntimeCallPattern<gpu::HostRegisterOp> {
public:
ConvertHostRegisterOpToGpuRuntimeCallPattern(
const LLVMTypeConverter &typeConverter)
: ConvertOpToGpuRuntimeCallPattern<gpu::HostRegisterOp>(typeConverter) {}
private:
LogicalResult
matchAndRewrite(gpu::HostRegisterOp hostRegisterOp, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const override;
};
class ConvertHostUnregisterOpToGpuRuntimeCallPattern
: public ConvertOpToGpuRuntimeCallPattern<gpu::HostUnregisterOp> {
public:
ConvertHostUnregisterOpToGpuRuntimeCallPattern(
const LLVMTypeConverter &typeConverter)
: ConvertOpToGpuRuntimeCallPattern<gpu::HostUnregisterOp>(typeConverter) {
}
private:
LogicalResult
matchAndRewrite(gpu::HostUnregisterOp hostUnregisterOp, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const override;
};
/// A rewrite pattern to convert gpu.alloc operations into a GPU runtime
/// call. Currently it supports CUDA and ROCm (HIP).
class ConvertAllocOpToGpuRuntimeCallPattern
: public ConvertOpToGpuRuntimeCallPattern<gpu::AllocOp> {
public:
ConvertAllocOpToGpuRuntimeCallPattern(const LLVMTypeConverter &typeConverter)
: ConvertOpToGpuRuntimeCallPattern<gpu::AllocOp>(typeConverter) {}
private:
LogicalResult
matchAndRewrite(gpu::AllocOp allocOp, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const override;
};
/// A rewrite pattern to convert gpu.dealloc operations into a GPU runtime
/// call. Currently it supports CUDA and ROCm (HIP).
class ConvertDeallocOpToGpuRuntimeCallPattern
: public ConvertOpToGpuRuntimeCallPattern<gpu::DeallocOp> {
public:
ConvertDeallocOpToGpuRuntimeCallPattern(
const LLVMTypeConverter &typeConverter)
: ConvertOpToGpuRuntimeCallPattern<gpu::DeallocOp>(typeConverter) {}
private:
LogicalResult
matchAndRewrite(gpu::DeallocOp deallocOp, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const override;
};
class ConvertAsyncYieldToGpuRuntimeCallPattern
: public ConvertOpToGpuRuntimeCallPattern<async::YieldOp> {
public:
ConvertAsyncYieldToGpuRuntimeCallPattern(
const LLVMTypeConverter &typeConverter)
: ConvertOpToGpuRuntimeCallPattern<async::YieldOp>(typeConverter) {}
private:
LogicalResult
matchAndRewrite(async::YieldOp yieldOp, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const override;
};
/// A rewrite pattern to convert gpu.wait operations into a GPU runtime
/// call. Currently it supports CUDA and ROCm (HIP).
class ConvertWaitOpToGpuRuntimeCallPattern
: public ConvertOpToGpuRuntimeCallPattern<gpu::WaitOp> {
public:
ConvertWaitOpToGpuRuntimeCallPattern(const LLVMTypeConverter &typeConverter)
: ConvertOpToGpuRuntimeCallPattern<gpu::WaitOp>(typeConverter) {}
private:
LogicalResult
matchAndRewrite(gpu::WaitOp waitOp, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const override;
};
/// A rewrite pattern to convert gpu.wait async operations into a GPU runtime
/// call. Currently it supports CUDA and ROCm (HIP).
class ConvertWaitAsyncOpToGpuRuntimeCallPattern
: public ConvertOpToGpuRuntimeCallPattern<gpu::WaitOp> {
public:
ConvertWaitAsyncOpToGpuRuntimeCallPattern(
const LLVMTypeConverter &typeConverter)
: ConvertOpToGpuRuntimeCallPattern<gpu::WaitOp>(typeConverter) {}
private:
LogicalResult
matchAndRewrite(gpu::WaitOp waitOp, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const override;
};
/// A rewrite patter to convert gpu.launch_func operations into a sequence of
/// GPU runtime calls. Currently it supports CUDA and ROCm (HIP).
///
/// In essence, a gpu.launch_func operations gets compiled into the following
/// sequence of runtime calls:
///
/// * moduleLoad -- loads the module given the cubin / hsaco data
/// * moduleGetFunction -- gets a handle to the actual kernel function
/// * getStreamHelper -- initializes a new compute stream on GPU
/// * launchKernel -- launches the kernel on a stream
/// * streamSynchronize -- waits for operations on the stream to finish
///
/// Intermediate data structures are allocated on the stack.
class ConvertLaunchFuncOpToGpuRuntimeCallPattern
: public ConvertOpToGpuRuntimeCallPattern<gpu::LaunchFuncOp> {
public:
ConvertLaunchFuncOpToGpuRuntimeCallPattern(
const LLVMTypeConverter &typeConverter, StringRef gpuBinaryAnnotation,
bool kernelBarePtrCallConv, SymbolTable *cachedModuleTable)
: ConvertOpToGpuRuntimeCallPattern<gpu::LaunchFuncOp>(typeConverter),
gpuBinaryAnnotation(gpuBinaryAnnotation),
kernelBarePtrCallConv(kernelBarePtrCallConv),
cachedModuleTable(cachedModuleTable) {}
private:
Value generateParamsArray(gpu::LaunchFuncOp launchOp, OpAdaptor adaptor,
OpBuilder &builder) const;
Value generateKernelNameConstant(StringRef moduleName, StringRef name,
Location loc, OpBuilder &builder) const;
LogicalResult
matchAndRewrite(gpu::LaunchFuncOp launchOp, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const override;
llvm::SmallString<32> gpuBinaryAnnotation;
bool kernelBarePtrCallConv;
SymbolTable *cachedModuleTable;
};
class EraseGpuModuleOpPattern : public OpRewritePattern<gpu::GPUModuleOp> {
using OpRewritePattern<gpu::GPUModuleOp>::OpRewritePattern;
LogicalResult matchAndRewrite(gpu::GPUModuleOp op,
PatternRewriter &rewriter) const override {
// GPU kernel modules are no longer necessary since we have a global
// constant with the CUBIN, or HSACO data.
rewriter.eraseOp(op);
return success();
}
};
/// A rewrite pattern to convert gpu.memcpy operations into a GPU runtime
/// call. Currently it supports CUDA and ROCm (HIP).
class ConvertMemcpyOpToGpuRuntimeCallPattern
: public ConvertOpToGpuRuntimeCallPattern<gpu::MemcpyOp> {
public:
ConvertMemcpyOpToGpuRuntimeCallPattern(const LLVMTypeConverter &typeConverter)
: ConvertOpToGpuRuntimeCallPattern<gpu::MemcpyOp>(typeConverter) {}
private:
LogicalResult
matchAndRewrite(gpu::MemcpyOp memcpyOp, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const override;
};
/// A rewrite pattern to convert gpu.memset operations into a GPU runtime
/// call. Currently it supports CUDA and ROCm (HIP).
class ConvertMemsetOpToGpuRuntimeCallPattern
: public ConvertOpToGpuRuntimeCallPattern<gpu::MemsetOp> {
public:
ConvertMemsetOpToGpuRuntimeCallPattern(const LLVMTypeConverter &typeConverter)
: ConvertOpToGpuRuntimeCallPattern<gpu::MemsetOp>(typeConverter) {}
private:
LogicalResult
matchAndRewrite(gpu::MemsetOp memsetOp, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const override;
};
/// A rewrite pattern to convert gpu.set_default_device to a GPU runtime call.
/// Currently supports CUDA and ROCm (HIP)
class ConvertSetDefaultDeviceOpToGpuRuntimeCallPattern
: public ConvertOpToGpuRuntimeCallPattern<gpu::SetDefaultDeviceOp> {
public:
ConvertSetDefaultDeviceOpToGpuRuntimeCallPattern(
const LLVMTypeConverter &typeConverter)
: ConvertOpToGpuRuntimeCallPattern<gpu::SetDefaultDeviceOp>(
typeConverter) {}
LogicalResult
matchAndRewrite(gpu::SetDefaultDeviceOp op, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const override;
};
/// Generic rewriting rule for operation on sparse matrices.
/// Currently supports CUDA (by means of cuSparse and cuSparseLt).
#define DECLARE_CONVERT_OP_TO_GPU_RUNTIME_CALL_PATTERN(op_name) \
class Convert##op_name##ToGpuRuntimeCallPattern \
: public ConvertOpToGpuRuntimeCallPattern<gpu::op_name> { \
public: \
Convert##op_name##ToGpuRuntimeCallPattern( \
const LLVMTypeConverter &typeConverter) \
: ConvertOpToGpuRuntimeCallPattern<gpu::op_name>(typeConverter) {} \
\
private: \
LogicalResult \
matchAndRewrite(gpu::op_name op, OpAdaptor adaptor, \
ConversionPatternRewriter &rewriter) const override; \
};
DECLARE_CONVERT_OP_TO_GPU_RUNTIME_CALL_PATTERN(CreateDnTensorOp)
DECLARE_CONVERT_OP_TO_GPU_RUNTIME_CALL_PATTERN(DestroyDnTensorOp)
DECLARE_CONVERT_OP_TO_GPU_RUNTIME_CALL_PATTERN(CreateCooOp)
DECLARE_CONVERT_OP_TO_GPU_RUNTIME_CALL_PATTERN(CreateCooAoSOp)
DECLARE_CONVERT_OP_TO_GPU_RUNTIME_CALL_PATTERN(CreateCsrOp)
DECLARE_CONVERT_OP_TO_GPU_RUNTIME_CALL_PATTERN(CreateCscOp)
DECLARE_CONVERT_OP_TO_GPU_RUNTIME_CALL_PATTERN(CreateBsrOp)
DECLARE_CONVERT_OP_TO_GPU_RUNTIME_CALL_PATTERN(Create2To4SpMatOp)
DECLARE_CONVERT_OP_TO_GPU_RUNTIME_CALL_PATTERN(DestroySpMatOp)
DECLARE_CONVERT_OP_TO_GPU_RUNTIME_CALL_PATTERN(SpMVBufferSizeOp)
DECLARE_CONVERT_OP_TO_GPU_RUNTIME_CALL_PATTERN(SpMVOp)
DECLARE_CONVERT_OP_TO_GPU_RUNTIME_CALL_PATTERN(SpMMBufferSizeOp)
DECLARE_CONVERT_OP_TO_GPU_RUNTIME_CALL_PATTERN(SDDMMBufferSizeOp)
DECLARE_CONVERT_OP_TO_GPU_RUNTIME_CALL_PATTERN(SpMMOp)
DECLARE_CONVERT_OP_TO_GPU_RUNTIME_CALL_PATTERN(SDDMMOp)
DECLARE_CONVERT_OP_TO_GPU_RUNTIME_CALL_PATTERN(SpGEMMCreateDescrOp)
DECLARE_CONVERT_OP_TO_GPU_RUNTIME_CALL_PATTERN(SpGEMMDestroyDescrOp)
DECLARE_CONVERT_OP_TO_GPU_RUNTIME_CALL_PATTERN(SpGEMMWorkEstimationOrComputeOp)
DECLARE_CONVERT_OP_TO_GPU_RUNTIME_CALL_PATTERN(SpGEMMCopyOp)
DECLARE_CONVERT_OP_TO_GPU_RUNTIME_CALL_PATTERN(SpMatGetSizeOp)
DECLARE_CONVERT_OP_TO_GPU_RUNTIME_CALL_PATTERN(SetCsrPointersOp)
} // namespace
void GpuToLLVMConversionPass::runOnOperation() {
MLIRContext *context = &getContext();
SymbolTable symbolTable = SymbolTable(getOperation());
LowerToLLVMOptions options(context);
options.useBarePtrCallConv = hostBarePtrCallConv;
RewritePatternSet patterns(context);
ConversionTarget target(*context);
target.addLegalDialect<LLVM::LLVMDialect>();
LLVMTypeConverter converter(context, options);
// Populate all patterns from all dialects that implement the
// `ConvertToLLVMPatternInterface` interface.
for (Dialect *dialect : context->getLoadedDialects()) {
auto iface = dyn_cast<ConvertToLLVMPatternInterface>(dialect);
if (!iface)
continue;
iface->populateConvertToLLVMConversionPatterns(target, converter, patterns);
}
// Preserve GPU modules if they have target attributes.
target.addDynamicallyLegalOp<gpu::GPUModuleOp>(
[](gpu::GPUModuleOp module) -> bool {
return module.getTargetsAttr() != nullptr;
});
// Accept as legal LaunchFuncOps if they refer to GPU Modules with targets and
// the operands have been lowered.
target.addDynamicallyLegalOp<gpu::LaunchFuncOp>(
[&](gpu::LaunchFuncOp op) -> bool {
auto module =
symbolTable.lookup<gpu::GPUModuleOp>(op.getKernelModuleName());
return converter.isLegal(op->getOperandTypes()) &&
converter.isLegal(op->getResultTypes()) &&
(module && module.getTargetsAttr() &&
!module.getTargetsAttr().empty());
});
// These aren't covered by the ConvertToLLVMPatternInterface right now.
populateVectorToLLVMConversionPatterns(converter, patterns);
populateFinalizeMemRefToLLVMConversionPatterns(converter, patterns);
populateAsyncStructuralTypeConversionsAndLegality(converter, patterns,
target);
populateGpuToLLVMConversionPatterns(converter, patterns, gpuBinaryAnnotation,
kernelBarePtrCallConv, &symbolTable);
if (failed(
applyPartialConversion(getOperation(), target, std::move(patterns))))
signalPassFailure();
}
LLVM::CallOp FunctionCallBuilder::create(Location loc, OpBuilder &builder,
ArrayRef<Value> arguments) const {
auto module = builder.getBlock()->getParent()->getParentOfType<ModuleOp>();
auto function = [&] {
if (auto function = module.lookupSymbol<LLVM::LLVMFuncOp>(functionName))
return function;
return OpBuilder::atBlockEnd(module.getBody())
.create<LLVM::LLVMFuncOp>(loc, functionName, functionType);
}();
return builder.create<LLVM::CallOp>(loc, function, arguments);
}
// Corresponding to cusparseIndexType_t defined in cusparse.h.
static int32_t getCuSparseIndexTypeFrom(Type type) {
if (type.isInteger(16))
return 1; // CUSPARSE_INDEX_16U
if (type.isInteger(32))
return 2; // CUSPARSE_INDEX_32I
return 3; // CUSPARSE_INDEX_64I
}
static int32_t getCuSparseLtDataTypeFrom(Type type) {
if (type.isF16())
return 0; // CUSPARSE_COMPUTE_16F,
if (type.isInteger(32))
return 1; // CUSPARSE_COMPUTE_32I
llvm_unreachable("unsupported type");
// TODO: add support to TF32
}
// Corresponding to cudaDataType_t defined in CUDA library_types.h.
static int32_t getCuSparseDataTypeFrom(Type type) {
if (llvm::isa<ComplexType>(type)) {
// get the element type
auto elementType = type.cast<ComplexType>().getElementType();
if (elementType.isBF16())
return 15; // CUDA_C_16BF
if (elementType.isF16())
return 6; // CUDA_C_16F
if (elementType.isF32())
return 4; // CUDA_C_32F
if (elementType.isF64())
return 5; // CUDA_C_64F
if (elementType.isInteger(8))
return 7; // CUDA_C_8I
if (elementType.isInteger(16))
return 21; // CUDA_C_16I
if (elementType.isInteger(32))
return 11; // CUDA_C_32I
}
if (type.isBF16())
return 14; // CUDA_R_16BF
if (type.isF16())
return 2; // CUDA_R_16F
if (type.isF32())
return 0; // CUDA_R_32F
if (type.isF64())
return 1; // CUDA_R_64F
if (type.isInteger(8))
return 3; // CUDA_R_8I
if (type.isInteger(16))
return 20; // CUDA_R_16I
if (type.isInteger(32))
return 10; // CUDA_R_32I
llvm_unreachable("unsupported element type");
}
static gpu::Prune2To4SpMatFlag get2To4PruneFlag(Value spMat) {
return spMat.getDefiningOp<gpu::Create2To4SpMatOp>().getPruneFlag();
}
// TODO: We may want a run-time (of the mlir compiler) disablement/warning:
// cusparseLt currently won't work for cuda architecture <8.0 and will trigger a
// runtime (of the CUDA program) error , but it might be great if we could at
// least output a warning when we found the target architecture is <8.0 and the
// user still wants to use cusparseLt. to make sure when lowering gpu sparse
// dialect to llvm calls, the cusparselt calls are disabled for cuda
// architecture <8.0
static bool is2To4Sparsity(Value spMat) {
if (auto op = spMat.getDefiningOp<gpu::Create2To4SpMatOp>())
return true;
if (auto op = spMat.getDefiningOp<gpu::CreateCooOp>())
return false;
if (auto op = spMat.getDefiningOp<gpu::CreateCooAoSOp>())
return false;
if (auto op = spMat.getDefiningOp<gpu::CreateCsrOp>())
return false;
if (auto op = spMat.getDefiningOp<gpu::CreateCscOp>())
return false;
if (auto op = spMat.getDefiningOp<gpu::CreateBsrOp>())
return false;
// Print the spMat defining op
spMat.getDefiningOp()->print(llvm::errs());
llvm_unreachable("cannot find spmat def");
}
static bool isSpMMCusparseLtOp(Value op) {
for (Operation *user : op.getUsers()) {
auto spmmOp = dyn_cast<gpu::SpMMOp>(user);
// If the other operator is 50% sparsity then we should use cusparseLt
if (!spmmOp)
continue;
if (is2To4Sparsity(spmmOp.getSpmatA()))
return true;
}
return false;
}
// Returns whether all operands are of LLVM type.
static LogicalResult areAllLLVMTypes(Operation *op, ValueRange operands,
ConversionPatternRewriter &rewriter) {
if (!llvm::all_of(operands, [](Value value) {
return LLVM::isCompatibleType(value.getType());
}))
return rewriter.notifyMatchFailure(
op, "Cannot convert if operands aren't of LLVM type.");
return success();
}
static LogicalResult
isAsyncWithOneDependency(ConversionPatternRewriter &rewriter,
gpu::AsyncOpInterface op) {
if (op.getAsyncDependencies().size() != 1)
return rewriter.notifyMatchFailure(
op, "Can only convert with exactly one async dependency.");
if (!op.getAsyncToken())
return rewriter.notifyMatchFailure(op, "Can convert only async version.");
return success();
}
LogicalResult ConvertHostRegisterOpToGpuRuntimeCallPattern::matchAndRewrite(
gpu::HostRegisterOp hostRegisterOp, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const {
auto *op = hostRegisterOp.getOperation();
if (failed(areAllLLVMTypes(op, adaptor.getOperands(), rewriter)))
return failure();
Location loc = op->getLoc();
auto memRefType = hostRegisterOp.getValue().getType();
auto elementType = cast<UnrankedMemRefType>(memRefType).getElementType();
auto elementSize = getSizeInBytes(loc, elementType, rewriter);
auto arguments = getTypeConverter()->promoteOperands(
loc, op->getOperands(), adaptor.getOperands(), rewriter);
arguments.push_back(elementSize);
hostRegisterCallBuilder.create(loc, rewriter, arguments);
rewriter.eraseOp(op);
return success();
}
LogicalResult ConvertHostUnregisterOpToGpuRuntimeCallPattern::matchAndRewrite(
gpu::HostUnregisterOp hostUnregisterOp, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const {
Operation *op = hostUnregisterOp.getOperation();
if (failed(areAllLLVMTypes(op, adaptor.getOperands(), rewriter)))
return failure();
Location loc = op->getLoc();
auto memRefType = hostUnregisterOp.getValue().getType();
auto elementType = cast<UnrankedMemRefType>(memRefType).getElementType();
auto elementSize = getSizeInBytes(loc, elementType, rewriter);
auto arguments = getTypeConverter()->promoteOperands(
loc, op->getOperands(), adaptor.getOperands(), rewriter);
arguments.push_back(elementSize);
hostUnregisterCallBuilder.create(loc, rewriter, arguments);
rewriter.eraseOp(op);
return success();
}
LogicalResult ConvertAllocOpToGpuRuntimeCallPattern::matchAndRewrite(
gpu::AllocOp allocOp, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const {
MemRefType memRefType = allocOp.getType();
if (failed(areAllLLVMTypes(allocOp, adaptor.getOperands(), rewriter)) ||
!isConvertibleAndHasIdentityMaps(memRefType))
return failure();
auto loc = allocOp.getLoc();
bool isShared = allocOp.getHostShared();
if (isShared && allocOp.getAsyncToken())
return rewriter.notifyMatchFailure(
allocOp, "Host Shared allocation cannot be done async");
if (!isShared && failed(isAsyncWithOneDependency(rewriter, allocOp)))
return failure();
// Get shape of the memref as values: static sizes are constant
// values and dynamic sizes are passed to 'alloc' as operands.
SmallVector<Value, 4> shape;
SmallVector<Value, 4> strides;
Value sizeBytes;
getMemRefDescriptorSizes(loc, memRefType, adaptor.getDynamicSizes(), rewriter,
shape, strides, sizeBytes);
// Allocate the underlying buffer and store a pointer to it in the MemRef
// descriptor.
auto nullPtr = rewriter.create<mlir::LLVM::ZeroOp>(loc, llvmPointerType);
Value stream = adaptor.getAsyncDependencies().empty()
? nullPtr
: adaptor.getAsyncDependencies().front();
auto isHostShared = rewriter.create<mlir::LLVM::ConstantOp>(
loc, llvmInt8Type, rewriter.getI8IntegerAttr(isShared));
Value allocatedPtr =
allocCallBuilder.create(loc, rewriter, {sizeBytes, stream, isHostShared})
.getResult();
// No alignment.
Value alignedPtr = allocatedPtr;
// Create the MemRef descriptor.
auto memRefDescriptor = this->createMemRefDescriptor(
loc, memRefType, allocatedPtr, alignedPtr, shape, strides, rewriter);
if (allocOp.getAsyncToken()) {
// Async alloc: make dependent ops use the same stream.
rewriter.replaceOp(allocOp, {memRefDescriptor, stream});
} else {
rewriter.replaceOp(allocOp, {memRefDescriptor});
}
return success();
}
LogicalResult ConvertDeallocOpToGpuRuntimeCallPattern::matchAndRewrite(
gpu::DeallocOp deallocOp, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const {
if (failed(areAllLLVMTypes(deallocOp, adaptor.getOperands(), rewriter)) ||
failed(isAsyncWithOneDependency(rewriter, deallocOp)))
return failure();
Location loc = deallocOp.getLoc();
Value pointer =
MemRefDescriptor(adaptor.getMemref()).allocatedPtr(rewriter, loc);
Value stream = adaptor.getAsyncDependencies().front();
deallocCallBuilder.create(loc, rewriter, {pointer, stream});
rewriter.replaceOp(deallocOp, {stream});
return success();
}
static bool isGpuAsyncTokenType(Value value) {
return isa<gpu::AsyncTokenType>(value.getType());
}
// Converts !gpu.async.token operands of `async.yield` to runtime calls. The
// !gpu.async.token are lowered to stream within the async.execute region, but
// are passed as events between them. For each !gpu.async.token operand, we
// create an event and record it on the stream.
LogicalResult ConvertAsyncYieldToGpuRuntimeCallPattern::matchAndRewrite(
async::YieldOp yieldOp, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const {
if (llvm::none_of(yieldOp.getOperands(), isGpuAsyncTokenType))
return rewriter.notifyMatchFailure(yieldOp, "no gpu async token operand");
Location loc = yieldOp.getLoc();
SmallVector<Value, 4> newOperands(adaptor.getOperands());
llvm::SmallDenseSet<Value> streams;
for (auto &operand : yieldOp->getOpOperands()) {
if (!isGpuAsyncTokenType(operand.get()))
continue;
auto idx = operand.getOperandNumber();
auto stream = adaptor.getOperands()[idx];
auto event = eventCreateCallBuilder.create(loc, rewriter, {}).getResult();
eventRecordCallBuilder.create(loc, rewriter, {event, stream});
newOperands[idx] = event;
streams.insert(stream);
}
for (auto stream : streams)
streamDestroyCallBuilder.create(loc, rewriter, {stream});
rewriter.modifyOpInPlace(yieldOp, [&] { yieldOp->setOperands(newOperands); });
return success();
}
// Returns whether `value` is the result of an LLVM::CallOp to `functionName`.
static bool isDefinedByCallTo(Value value, StringRef functionName) {
assert(isa<LLVM::LLVMPointerType>(value.getType()));
if (auto defOp = value.getDefiningOp<LLVM::CallOp>())
return defOp.getCallee()->equals(functionName);
return false;
}
// Converts `gpu.wait` to runtime calls. The converted op synchronizes the host
// with the stream/event operands. The operands are destroyed. That is, it
// assumes that it is not used afterwards or elsewhere. Otherwise we will get a
// runtime error. Eventually, we should guarantee this property.
LogicalResult ConvertWaitOpToGpuRuntimeCallPattern::matchAndRewrite(
gpu::WaitOp waitOp, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const {
if (waitOp.getAsyncToken())
return rewriter.notifyMatchFailure(waitOp, "Cannot convert async op.");
Location loc = waitOp.getLoc();
for (auto operand : adaptor.getOperands()) {
if (isDefinedByCallTo(operand, streamCreateCallBuilder.functionName)) {
// The converted operand's definition created a stream.
streamSynchronizeCallBuilder.create(loc, rewriter, {operand});
streamDestroyCallBuilder.create(loc, rewriter, {operand});
} else {
// Otherwise the converted operand is an event. This assumes that we use
// events in control flow code as well.
eventSynchronizeCallBuilder.create(loc, rewriter, {operand});
eventDestroyCallBuilder.create(loc, rewriter, {operand});
}
}
rewriter.eraseOp(waitOp);
return success();
}
// Converts `gpu.wait async` to runtime calls. The converted op creates a new
// stream that is synchronized with stream/event operands. The operands are
// destroyed. That is, it assumes that it is not used afterwards or elsewhere.
// Otherwise we will get a runtime error. Eventually, we should guarantee this
// property.
LogicalResult ConvertWaitAsyncOpToGpuRuntimeCallPattern::matchAndRewrite(
gpu::WaitOp waitOp, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const {
if (!waitOp.getAsyncToken())
return rewriter.notifyMatchFailure(waitOp, "Can only convert async op.");
Location loc = waitOp.getLoc();
auto insertionPoint = rewriter.saveInsertionPoint();
SmallVector<Value, 1> events;
for (auto pair :
llvm::zip(waitOp.getAsyncDependencies(), adaptor.getOperands())) {
auto operand = std::get<1>(pair);
if (isDefinedByCallTo(operand, streamCreateCallBuilder.functionName)) {
// The converted operand's definition created a stream. Insert an event
// into the stream just after the last use of the original token operand.
auto *defOp = std::get<0>(pair).getDefiningOp();
rewriter.setInsertionPointAfter(defOp);
auto event = eventCreateCallBuilder.create(loc, rewriter, {}).getResult();
eventRecordCallBuilder.create(loc, rewriter, {event, operand});
events.push_back(event);
} else {
// Otherwise the converted operand is an event. This assumes that we use
// events in control flow code as well.
events.push_back(operand);
}
}
rewriter.restoreInsertionPoint(insertionPoint);
auto stream = streamCreateCallBuilder.create(loc, rewriter, {}).getResult();
for (auto event : events)
streamWaitEventCallBuilder.create(loc, rewriter, {stream, event});
for (auto event : events)
eventDestroyCallBuilder.create(loc, rewriter, {event});
rewriter.replaceOp(waitOp, {stream});