1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202
|
//===- ROCDLToLLVMIRTranslation.cpp - Translate ROCDL to LLVM IR ----------===//
//
// 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 translation between the MLIR ROCDL dialect and
// LLVM IR.
//
//===----------------------------------------------------------------------===//
#include "mlir/Target/LLVMIR/Dialect/ROCDL/ROCDLToLLVMIRTranslation.h"
#include "mlir/Dialect/LLVMIR/ROCDLDialect.h"
#include "mlir/IR/BuiltinAttributes.h"
#include "mlir/IR/Operation.h"
#include "mlir/Target/LLVMIR/ModuleTranslation.h"
#include "llvm/IR/ConstantRange.h"
#include "llvm/IR/IRBuilder.h"
#include "llvm/IR/IntrinsicsAMDGPU.h"
#include "llvm/Support/raw_ostream.h"
using namespace mlir;
using namespace mlir::LLVM;
using mlir::LLVM::detail::createIntrinsicCall;
static llvm::Value *createIntrinsicCallWithRange(llvm::IRBuilderBase &builder,
llvm::Intrinsic::ID intrinsic,
DenseI32ArrayAttr maybeRange) {
auto *inst = llvm::cast<llvm::CallInst>(
createIntrinsicCall(builder, intrinsic, {}, {}));
if (maybeRange) {
llvm::ConstantRange Range(APInt(32, maybeRange[0]),
APInt(32, maybeRange[1]));
inst->addRangeRetAttr(Range);
}
return inst;
}
// Create a call to ROCm-Device-Library function
// Currently this routine will work only for calling ROCDL functions that
// take a single int32 argument. It is likely that the interface of this
// function will change to make it more generic.
static llvm::Value *createDeviceFunctionCall(llvm::IRBuilderBase &builder,
StringRef fnName, int parameter) {
llvm::Module *module = builder.GetInsertBlock()->getModule();
llvm::FunctionType *functionType = llvm::FunctionType::get(
llvm::Type::getInt64Ty(module->getContext()), // return type.
llvm::Type::getInt32Ty(module->getContext()), // parameter type.
false); // no variadic arguments.
llvm::Function *fn = dyn_cast<llvm::Function>(
module->getOrInsertFunction(fnName, functionType).getCallee());
llvm::Value *fnOp0 = llvm::ConstantInt::get(
llvm::Type::getInt32Ty(module->getContext()), parameter);
return builder.CreateCall(fn, ArrayRef<llvm::Value *>(fnOp0));
}
namespace {
/// Implementation of the dialect interface that converts operations belonging
/// to the ROCDL dialect to LLVM IR.
class ROCDLDialectLLVMIRTranslationInterface
: public LLVMTranslationDialectInterface {
public:
using LLVMTranslationDialectInterface::LLVMTranslationDialectInterface;
/// Translates the given operation to LLVM IR using the provided IR builder
/// and saving the state in `moduleTranslation`.
LogicalResult
convertOperation(Operation *op, llvm::IRBuilderBase &builder,
LLVM::ModuleTranslation &moduleTranslation) const final {
Operation &opInst = *op;
#include "mlir/Dialect/LLVMIR/ROCDLConversions.inc"
return failure();
}
/// Attaches module-level metadata for functions marked as kernels.
LogicalResult
amendOperation(Operation *op, ArrayRef<llvm::Instruction *> instructions,
NamedAttribute attribute,
LLVM::ModuleTranslation &moduleTranslation) const final {
auto *dialect = dyn_cast<ROCDL::ROCDLDialect>(attribute.getNameDialect());
if (dialect->getKernelAttrHelper().getName() == attribute.getName()) {
auto func = dyn_cast<LLVM::LLVMFuncOp>(op);
if (!func)
return op->emitOpError(Twine(attribute.getName()) +
" is only supported on `llvm.func` operations");
;
// For GPU kernels,
// 1. Insert AMDGPU_KERNEL calling convention.
// 2. Insert amdgpu-flat-work-group-size(1, 256) attribute unless the user
// has overriden this value - 256 is the default in clang
llvm::Function *llvmFunc =
moduleTranslation.lookupFunction(func.getName());
llvmFunc->setCallingConv(llvm::CallingConv::AMDGPU_KERNEL);
if (!llvmFunc->hasFnAttribute("amdgpu-flat-work-group-size")) {
llvmFunc->addFnAttr("amdgpu-flat-work-group-size", "1,256");
}
// MLIR's GPU kernel APIs all assume and produce uniformly-sized
// workgroups, so the lowering of the `rocdl.kernel` marker encodes this
// assumption. This assumption may be overridden by setting
// `rocdl.uniform_work_group_size` on a given function.
if (!llvmFunc->hasFnAttribute("uniform-work-group-size"))
llvmFunc->addFnAttr("uniform-work-group-size", "true");
}
// Override flat-work-group-size
// TODO: update clients to rocdl.flat_work_group_size instead,
// then remove this half of the branch
if (dialect->getMaxFlatWorkGroupSizeAttrHelper().getName() ==
attribute.getName()) {
auto func = dyn_cast<LLVM::LLVMFuncOp>(op);
if (!func)
return op->emitOpError(Twine(attribute.getName()) +
" is only supported on `llvm.func` operations");
auto value = dyn_cast<IntegerAttr>(attribute.getValue());
if (!value)
return op->emitOpError(Twine(attribute.getName()) +
" must be an integer");
llvm::Function *llvmFunc =
moduleTranslation.lookupFunction(func.getName());
llvm::SmallString<8> llvmAttrValue;
llvm::raw_svector_ostream attrValueStream(llvmAttrValue);
attrValueStream << "1," << value.getInt();
llvmFunc->addFnAttr("amdgpu-flat-work-group-size", llvmAttrValue);
}
if (dialect->getFlatWorkGroupSizeAttrHelper().getName() ==
attribute.getName()) {
auto func = dyn_cast<LLVM::LLVMFuncOp>(op);
if (!func)
return op->emitOpError(Twine(attribute.getName()) +
" is only supported on `llvm.func` operations");
auto value = dyn_cast<StringAttr>(attribute.getValue());
if (!value)
return op->emitOpError(Twine(attribute.getName()) +
" must be a string");
llvm::Function *llvmFunc =
moduleTranslation.lookupFunction(func.getName());
llvm::SmallString<8> llvmAttrValue;
llvmAttrValue.append(value.getValue());
llvmFunc->addFnAttr("amdgpu-flat-work-group-size", llvmAttrValue);
}
if (ROCDL::ROCDLDialect::getUniformWorkGroupSizeAttrName() ==
attribute.getName()) {
auto func = dyn_cast<LLVM::LLVMFuncOp>(op);
if (!func)
return op->emitOpError(Twine(attribute.getName()) +
" is only supported on `llvm.func` operations");
auto value = dyn_cast<BoolAttr>(attribute.getValue());
if (!value)
return op->emitOpError(Twine(attribute.getName()) +
" must be a boolean");
llvm::Function *llvmFunc =
moduleTranslation.lookupFunction(func.getName());
llvmFunc->addFnAttr("uniform-work-group-size",
value.getValue() ? "true" : "false");
}
// Set reqd_work_group_size metadata
if (dialect->getReqdWorkGroupSizeAttrHelper().getName() ==
attribute.getName()) {
auto func = dyn_cast<LLVM::LLVMFuncOp>(op);
if (!func)
return op->emitOpError(Twine(attribute.getName()) +
" is only supported on `llvm.func` operations");
auto value = dyn_cast<DenseI32ArrayAttr>(attribute.getValue());
if (!value)
return op->emitOpError(Twine(attribute.getName()) +
" must be a dense i32 array attribute");
llvm::LLVMContext &llvmContext = moduleTranslation.getLLVMContext();
SmallVector<llvm::Metadata *, 3> metadata;
llvm::Type *i32 = llvm::IntegerType::get(llvmContext, 32);
for (int32_t i : value.asArrayRef()) {
llvm::Constant *constant = llvm::ConstantInt::get(i32, i);
metadata.push_back(llvm::ConstantAsMetadata::get(constant));
}
llvm::Function *llvmFunc =
moduleTranslation.lookupFunction(func.getName());
llvm::MDNode *node = llvm::MDNode::get(llvmContext, metadata);
llvmFunc->setMetadata("reqd_work_group_size", node);
}
return success();
}
};
} // namespace
void mlir::registerROCDLDialectTranslation(DialectRegistry ®istry) {
registry.insert<ROCDL::ROCDLDialect>();
registry.addExtension(+[](MLIRContext *ctx, ROCDL::ROCDLDialect *dialect) {
dialect->addInterfaces<ROCDLDialectLLVMIRTranslationInterface>();
});
}
void mlir::registerROCDLDialectTranslation(MLIRContext &context) {
DialectRegistry registry;
registerROCDLDialectTranslation(registry);
context.appendDialectRegistry(registry);
}
|