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150 lines
5.9 KiB
150 lines
5.9 KiB
//===- NVVMDialect.cpp - NVVM IR Ops and Dialect registration -------------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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//
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// This file defines the types and operation details for the NVVM IR dialect in
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// MLIR, and the LLVM IR dialect. It also registers the dialect.
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//
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// The NVVM dialect only contains GPU specific additions on top of the general
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// LLVM dialect.
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/Dialect/LLVMIR/NVVMDialect.h"
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#include "mlir/IR/Builders.h"
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#include "mlir/IR/BuiltinTypes.h"
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#include "mlir/IR/MLIRContext.h"
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#include "mlir/IR/Operation.h"
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#include "mlir/IR/OperationSupport.h"
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#include "llvm/AsmParser/Parser.h"
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#include "llvm/IR/Attributes.h"
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#include "llvm/IR/Function.h"
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#include "llvm/IR/Type.h"
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#include "llvm/Support/SourceMgr.h"
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using namespace mlir;
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using namespace NVVM;
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//===----------------------------------------------------------------------===//
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// Printing/parsing for NVVM ops
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//===----------------------------------------------------------------------===//
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static void printNVVMIntrinsicOp(OpAsmPrinter &p, Operation *op) {
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p << op->getName() << " " << op->getOperands();
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if (op->getNumResults() > 0)
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p << " : " << op->getResultTypes();
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}
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// <operation> ::=
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// `llvm.nvvm.shfl.sync.bfly %dst, %val, %offset, %clamp_and_mask`
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// ({return_value_and_is_valid})? : result_type
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static ParseResult parseNVVMShflSyncBflyOp(OpAsmParser &parser,
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OperationState &result) {
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SmallVector<OpAsmParser::OperandType, 8> ops;
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Type resultType;
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if (parser.parseOperandList(ops) ||
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parser.parseOptionalAttrDict(result.attributes) ||
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parser.parseColonType(resultType) ||
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parser.addTypeToList(resultType, result.types))
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return failure();
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auto type = resultType.cast<LLVM::LLVMType>();
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for (auto &attr : result.attributes) {
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if (attr.first != "return_value_and_is_valid")
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continue;
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if (type.isStructTy() && type.getStructNumElements() > 0)
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type = type.getStructElementType(0);
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break;
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}
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auto int32Ty = LLVM::LLVMType::getInt32Ty(parser.getBuilder().getContext());
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return parser.resolveOperands(ops, {int32Ty, type, int32Ty, int32Ty},
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parser.getNameLoc(), result.operands);
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}
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// <operation> ::= `llvm.nvvm.vote.ballot.sync %mask, %pred` : result_type
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static ParseResult parseNVVMVoteBallotOp(OpAsmParser &parser,
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OperationState &result) {
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MLIRContext *context = parser.getBuilder().getContext();
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auto int32Ty = LLVM::LLVMType::getInt32Ty(context);
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auto int1Ty = LLVM::LLVMType::getInt1Ty(context);
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SmallVector<OpAsmParser::OperandType, 8> ops;
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Type type;
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return failure(parser.parseOperandList(ops) ||
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parser.parseOptionalAttrDict(result.attributes) ||
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parser.parseColonType(type) ||
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parser.addTypeToList(type, result.types) ||
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parser.resolveOperands(ops, {int32Ty, int1Ty},
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parser.getNameLoc(), result.operands));
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}
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static LogicalResult verify(MmaOp op) {
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MLIRContext *context = op.getContext();
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auto f16Ty = LLVM::LLVMType::getHalfTy(context);
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auto f16x2Ty = LLVM::LLVMType::getVectorTy(f16Ty, 2);
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auto f32Ty = LLVM::LLVMType::getFloatTy(context);
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auto f16x2x4StructTy = LLVM::LLVMType::getStructTy(
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context, {f16x2Ty, f16x2Ty, f16x2Ty, f16x2Ty});
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auto f32x8StructTy = LLVM::LLVMType::getStructTy(
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context, {f32Ty, f32Ty, f32Ty, f32Ty, f32Ty, f32Ty, f32Ty, f32Ty});
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SmallVector<Type, 12> operand_types(op.getOperandTypes().begin(),
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op.getOperandTypes().end());
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if (operand_types != SmallVector<Type, 8>(8, f16x2Ty) &&
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operand_types != SmallVector<Type, 12>{f16x2Ty, f16x2Ty, f16x2Ty, f16x2Ty,
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f32Ty, f32Ty, f32Ty, f32Ty, f32Ty,
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f32Ty, f32Ty, f32Ty}) {
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return op.emitOpError(
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"expected operands to be 4 <halfx2>s followed by either "
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"4 <halfx2>s or 8 floats");
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}
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if (op.getType() != f32x8StructTy && op.getType() != f16x2x4StructTy) {
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return op.emitOpError("expected result type to be a struct of either 4 "
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"<halfx2>s or 8 floats");
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}
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auto alayout = op->getAttrOfType<StringAttr>("alayout");
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auto blayout = op->getAttrOfType<StringAttr>("blayout");
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if (!(alayout && blayout) ||
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!(alayout.getValue() == "row" || alayout.getValue() == "col") ||
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!(blayout.getValue() == "row" || blayout.getValue() == "col")) {
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return op.emitOpError(
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"alayout and blayout attributes must be set to either "
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"\"row\" or \"col\"");
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}
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if (operand_types == SmallVector<Type, 12>{f16x2Ty, f16x2Ty, f16x2Ty, f16x2Ty,
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f32Ty, f32Ty, f32Ty, f32Ty, f32Ty,
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f32Ty, f32Ty, f32Ty} &&
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op.getType() == f32x8StructTy && alayout.getValue() == "row" &&
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blayout.getValue() == "col") {
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return success();
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}
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return op.emitOpError("unimplemented mma.sync variant");
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}
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//===----------------------------------------------------------------------===//
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// NVVMDialect initialization, type parsing, and registration.
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//===----------------------------------------------------------------------===//
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// TODO: This should be the llvm.nvvm dialect once this is supported.
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void NVVMDialect::initialize() {
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addOperations<
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#define GET_OP_LIST
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#include "mlir/Dialect/LLVMIR/NVVMOps.cpp.inc"
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>();
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// Support unknown operations because not all NVVM operations are registered.
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allowUnknownOperations();
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}
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#define GET_OP_CLASSES
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#include "mlir/Dialect/LLVMIR/NVVMOps.cpp.inc"
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