llvm-project/mlir/lib/IR/Operation.cpp

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//===- Operation.cpp - Operation support code -----------------------------===//
//
// 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.
// =============================================================================
#include "mlir/IR/Dialect.h"
#include "mlir/IR/Function.h"
#include "mlir/IR/Instruction.h"
#include "mlir/IR/MLIRContext.h"
#include "mlir/IR/OpDefinition.h"
#include "mlir/IR/OpImplementation.h"
#include "mlir/IR/StandardTypes.h"
using namespace mlir;
/// Form the OperationName for an op with the specified string. This either is
/// a reference to an AbstractOperation if one is known, or a uniqued Identifier
/// if not.
OperationName::OperationName(StringRef name, MLIRContext *context) {
if (auto *op = AbstractOperation::lookup(name, context))
representation = op;
else
representation = Identifier::get(name, context);
}
/// Return the name of this operation. This always succeeds.
StringRef OperationName::getStringRef() const {
if (auto *op = representation.dyn_cast<const AbstractOperation *>())
return op->name;
return representation.get<Identifier>().strref();
}
const AbstractOperation *OperationName::getAbstractOperation() const {
return representation.dyn_cast<const AbstractOperation *>();
}
OperationName OperationName::getFromOpaquePointer(void *pointer) {
return OperationName(RepresentationUnion::getFromOpaqueValue(pointer));
}
OpAsmParser::~OpAsmParser() {}
//===----------------------------------------------------------------------===//
// OpState trait class.
//===----------------------------------------------------------------------===//
// The fallback for the parser is to reject the custom assembly form.
bool OpState::parse(OpAsmParser *parser, OperationState *result) {
return parser->emitError(parser->getNameLoc(), "has no custom assembly form");
}
// The fallback for the printer is to print in the generic assembly form.
void OpState::print(OpAsmPrinter *p) const {
p->printGenericOp(getInstruction());
}
/// Emit an error about fatal conditions with this operation, reporting up to
/// any diagnostic handlers that may be listening. NOTE: This may terminate
/// the containing application, only use when the IR is in an inconsistent
/// state.
bool OpState::emitError(const Twine &message) const {
return getInstruction()->emitError(message);
}
/// Emit an error with the op name prefixed, like "'dim' op " which is
/// convenient for verifiers.
bool OpState::emitOpError(const Twine &message) const {
return getInstruction()->emitOpError(message);
}
/// Emit a warning about this operation, reporting up to any diagnostic
/// handlers that may be listening.
void OpState::emitWarning(const Twine &message) const {
getInstruction()->emitWarning(message);
}
/// Emit a note about this operation, reporting up to any diagnostic
/// handlers that may be listening.
void OpState::emitNote(const Twine &message) const {
getInstruction()->emitNote(message);
}
//===----------------------------------------------------------------------===//
// Op Trait implementations
//===----------------------------------------------------------------------===//
bool OpTrait::impl::verifyZeroOperands(const OperationInst *op) {
if (op->getNumOperands() != 0)
return op->emitOpError("requires zero operands");
return false;
}
bool OpTrait::impl::verifyOneOperand(const OperationInst *op) {
if (op->getNumOperands() != 1)
return op->emitOpError("requires a single operand");
return false;
}
bool OpTrait::impl::verifyNOperands(const OperationInst *op,
unsigned numOperands) {
if (op->getNumOperands() != numOperands) {
return op->emitOpError("expected " + Twine(numOperands) +
" operands, but found " +
Twine(op->getNumOperands()));
}
return false;
}
bool OpTrait::impl::verifyAtLeastNOperands(const OperationInst *op,
unsigned numOperands) {
if (op->getNumOperands() < numOperands)
return op->emitOpError("expected " + Twine(numOperands) +
" or more operands");
return false;
}
/// If this is a vector type, or a tensor type, return the scalar element type
/// that it is built around, otherwise return the type unmodified.
static Type getTensorOrVectorElementType(Type type) {
if (auto vec = type.dyn_cast<VectorType>())
return vec.getElementType();
// Look through tensor<vector<...>> to find the underlying element type.
if (auto tensor = type.dyn_cast<TensorType>())
return getTensorOrVectorElementType(tensor.getElementType());
return type;
}
bool OpTrait::impl::verifyOperandsAreIntegerLike(const OperationInst *op) {
for (auto *operand : op->getOperands()) {
auto type = getTensorOrVectorElementType(operand->getType());
if (!type.isIntOrIndex())
return op->emitOpError("requires an integer or index type");
}
return false;
}
bool OpTrait::impl::verifySameTypeOperands(const OperationInst *op) {
// Zero or one operand always have the "same" type.
unsigned nOperands = op->getNumOperands();
if (nOperands < 2)
return false;
auto type = op->getOperand(0)->getType();
for (unsigned i = 1; i < nOperands; ++i) {
if (op->getOperand(i)->getType() != type)
return op->emitOpError("requires all operands to have the same type");
}
return false;
}
bool OpTrait::impl::verifyZeroResult(const OperationInst *op) {
if (op->getNumResults() != 0)
return op->emitOpError("requires zero results");
return false;
}
bool OpTrait::impl::verifyOneResult(const OperationInst *op) {
if (op->getNumResults() != 1)
return op->emitOpError("requires one result");
return false;
}
bool OpTrait::impl::verifyNResults(const OperationInst *op,
unsigned numOperands) {
if (op->getNumResults() != numOperands)
return op->emitOpError("expected " + Twine(numOperands) + " results");
return false;
}
bool OpTrait::impl::verifyAtLeastNResults(const OperationInst *op,
unsigned numOperands) {
if (op->getNumResults() < numOperands)
return op->emitOpError("expected " + Twine(numOperands) +
" or more results");
return false;
}
/// Returns false if the given two types have the same shape. That is,
/// they are both scalars, or they are both vectors / ranked tensors with
/// the same dimension specifications. The element type does not matter.
static bool verifyShapeMatch(Type type1, Type type2) {
// Check scalar cases
if (type1.isIntOrIndexOrFloat())
return !type2.isIntOrIndexOrFloat();
// Check unranked tensor cases
if (type1.isa<UnrankedTensorType>() || type2.isa<UnrankedTensorType>())
return true;
// Check normal vector/tensor cases
if (auto vtType1 = type1.dyn_cast<VectorOrTensorType>()) {
auto vtType2 = type2.dyn_cast<VectorOrTensorType>();
return !(vtType2 && vtType1.getShape() == vtType2.getShape());
}
return false;
}
bool OpTrait::impl::verifySameOperandsAndResultShape(const OperationInst *op) {
if (op->getNumOperands() == 0 || op->getNumResults() == 0)
return true;
auto type = op->getOperand(0)->getType();
for (unsigned i = 0, e = op->getNumResults(); i < e; ++i) {
if (verifyShapeMatch(op->getResult(i)->getType(), type))
return op->emitOpError(
"requires the same shape for all operands and results");
}
for (unsigned i = 1, e = op->getNumOperands(); i < e; ++i) {
if (verifyShapeMatch(op->getOperand(i)->getType(), type))
return op->emitOpError(
"requires the same shape for all operands and results");
}
return false;
}
bool OpTrait::impl::verifySameOperandsAndResultType(const OperationInst *op) {
if (op->getNumOperands() == 0 || op->getNumResults() == 0)
return true;
auto type = op->getResult(0)->getType();
for (unsigned i = 1, e = op->getNumResults(); i < e; ++i) {
if (op->getResult(i)->getType() != type)
return op->emitOpError(
"requires the same type for all operands and results");
}
for (unsigned i = 0, e = op->getNumOperands(); i < e; ++i) {
if (op->getOperand(i)->getType() != type)
return op->emitOpError(
"requires the same type for all operands and results");
}
return false;
}
static bool verifyBBArguments(
llvm::iterator_range<OperationInst::const_operand_iterator> operands,
const Block *destBB, const OperationInst *op) {
unsigned operandCount = std::distance(operands.begin(), operands.end());
if (operandCount != destBB->getNumArguments())
return op->emitError("branch has " + Twine(operandCount) +
" operands, but target block has " +
Twine(destBB->getNumArguments()));
auto operandIt = operands.begin();
for (unsigned i = 0, e = operandCount; i != e; ++i, ++operandIt) {
if ((*operandIt)->getType() != destBB->getArgument(i)->getType())
return op->emitError("type mismatch in bb argument #" + Twine(i));
}
return false;
}
static bool verifyTerminatorSuccessors(const OperationInst *op) {
// Verify that the operands lines up with the BB arguments in the successor.
const Function *fn = op->getFunction();
for (unsigned i = 0, e = op->getNumSuccessors(); i != e; ++i) {
auto *succ = op->getSuccessor(i);
if (succ->getFunction() != fn)
return op->emitError("reference to block defined in another function");
if (verifyBBArguments(op->getSuccessorOperands(i), succ, op))
return true;
}
return false;
}
bool OpTrait::impl::verifyIsTerminator(const OperationInst *op) {
const Block *block = op->getBlock();
// Verify that the operation is at the end of the respective parent block.
if (!block || &block->back() != op)
return op->emitOpError("must be the last instruction in the parent block");
// TODO(riverriddle) Terminators may not exist with an operation region.
if (block->getContainingInst())
return op->emitOpError("may only be at the top level of a function");
// Verify the state of the successor blocks.
if (op->getNumSuccessors() != 0 && verifyTerminatorSuccessors(op))
return true;
return false;
}
bool OpTrait::impl::verifyResultsAreBoolLike(const OperationInst *op) {
for (auto *result : op->getResults()) {
auto elementType = getTensorOrVectorElementType(result->getType());
bool isBoolType = elementType.isInteger(1);
if (!isBoolType)
return op->emitOpError("requires a bool result type");
}
return false;
}
bool OpTrait::impl::verifyResultsAreFloatLike(const OperationInst *op) {
for (auto *result : op->getResults()) {
if (!getTensorOrVectorElementType(result->getType()).isa<FloatType>())
return op->emitOpError("requires a floating point type");
}
return false;
}
bool OpTrait::impl::verifyResultsAreIntegerLike(const OperationInst *op) {
for (auto *result : op->getResults()) {
auto type = getTensorOrVectorElementType(result->getType());
if (!type.isIntOrIndex())
return op->emitOpError("requires an integer or index type");
}
return false;
}
//===----------------------------------------------------------------------===//
// BinaryOp implementation
//===----------------------------------------------------------------------===//
// These functions are out-of-line implementations of the methods in BinaryOp,
// which avoids them being template instantiated/duplicated.
void impl::buildBinaryOp(Builder *builder, OperationState *result, Value *lhs,
Value *rhs) {
assert(lhs->getType() == rhs->getType());
result->addOperands({lhs, rhs});
result->types.push_back(lhs->getType());
}
bool impl::parseBinaryOp(OpAsmParser *parser, OperationState *result) {
SmallVector<OpAsmParser::OperandType, 2> ops;
Type type;
return parser->parseOperandList(ops, 2) ||
parser->parseOptionalAttributeDict(result->attributes) ||
parser->parseColonType(type) ||
parser->resolveOperands(ops, type, result->operands) ||
parser->addTypeToList(type, result->types);
}
void impl::printBinaryOp(const OperationInst *op, OpAsmPrinter *p) {
assert(op->getNumOperands() == 2 && "binary op should have two operands");
assert(op->getNumResults() == 1 && "binary op should have one result");
// If not all the operand and result types are the same, just use the
// generic assembly form to avoid omitting information in printing.
auto resultType = op->getResult(0)->getType();
if (op->getOperand(0)->getType() != resultType ||
op->getOperand(1)->getType() != resultType) {
p->printGenericOp(op);
return;
}
*p << op->getName() << ' ' << *op->getOperand(0) << ", "
<< *op->getOperand(1);
p->printOptionalAttrDict(op->getAttrs());
// Now we can output only one type for all operands and the result.
*p << " : " << op->getResult(0)->getType();
}
//===----------------------------------------------------------------------===//
// CastOp implementation
//===----------------------------------------------------------------------===//
void impl::buildCastOp(Builder *builder, OperationState *result, Value *source,
Type destType) {
result->addOperands(source);
result->addTypes(destType);
}
bool impl::parseCastOp(OpAsmParser *parser, OperationState *result) {
OpAsmParser::OperandType srcInfo;
Type srcType, dstType;
return parser->parseOperand(srcInfo) || parser->parseColonType(srcType) ||
parser->resolveOperand(srcInfo, srcType, result->operands) ||
parser->parseKeywordType("to", dstType) ||
parser->addTypeToList(dstType, result->types);
}
void impl::printCastOp(const OperationInst *op, OpAsmPrinter *p) {
*p << op->getName() << ' ' << *op->getOperand(0) << " : "
<< op->getOperand(0)->getType() << " to " << op->getResult(0)->getType();
}