forked from OSchip/llvm-project
390 lines
14 KiB
C++
390 lines
14 KiB
C++
//===- Operation.cpp - Operation support code -----------------------------===//
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//
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// Copyright 2019 The MLIR Authors.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// =============================================================================
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#include "mlir/IR/Dialect.h"
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#include "mlir/IR/Function.h"
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#include "mlir/IR/Instruction.h"
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#include "mlir/IR/MLIRContext.h"
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#include "mlir/IR/OpDefinition.h"
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#include "mlir/IR/OpImplementation.h"
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#include "mlir/IR/StandardTypes.h"
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using namespace mlir;
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/// Form the OperationName for an op with the specified string. This either is
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/// a reference to an AbstractOperation if one is known, or a uniqued Identifier
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/// if not.
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OperationName::OperationName(StringRef name, MLIRContext *context) {
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if (auto *op = AbstractOperation::lookup(name, context))
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representation = op;
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else
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representation = Identifier::get(name, context);
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}
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/// Return the name of this operation. This always succeeds.
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StringRef OperationName::getStringRef() const {
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if (auto *op = representation.dyn_cast<const AbstractOperation *>())
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return op->name;
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return representation.get<Identifier>().strref();
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}
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const AbstractOperation *OperationName::getAbstractOperation() const {
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return representation.dyn_cast<const AbstractOperation *>();
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}
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OperationName OperationName::getFromOpaquePointer(void *pointer) {
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return OperationName(RepresentationUnion::getFromOpaqueValue(pointer));
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}
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OpAsmParser::~OpAsmParser() {}
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//===----------------------------------------------------------------------===//
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// OpState trait class.
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//===----------------------------------------------------------------------===//
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// The fallback for the parser is to reject the custom assembly form.
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bool OpState::parse(OpAsmParser *parser, OperationState *result) {
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return parser->emitError(parser->getNameLoc(), "has no custom assembly form");
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}
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// The fallback for the printer is to print in the generic assembly form.
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void OpState::print(OpAsmPrinter *p) const {
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p->printGenericOp(getInstruction());
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}
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/// Emit an error about fatal conditions with this operation, reporting up to
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/// any diagnostic handlers that may be listening. NOTE: This may terminate
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/// the containing application, only use when the IR is in an inconsistent
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/// state.
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bool OpState::emitError(const Twine &message) const {
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return getInstruction()->emitError(message);
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}
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/// Emit an error with the op name prefixed, like "'dim' op " which is
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/// convenient for verifiers.
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bool OpState::emitOpError(const Twine &message) const {
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return getInstruction()->emitOpError(message);
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}
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/// Emit a warning about this operation, reporting up to any diagnostic
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/// handlers that may be listening.
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void OpState::emitWarning(const Twine &message) const {
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getInstruction()->emitWarning(message);
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}
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/// Emit a note about this operation, reporting up to any diagnostic
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/// handlers that may be listening.
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void OpState::emitNote(const Twine &message) const {
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getInstruction()->emitNote(message);
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}
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//===----------------------------------------------------------------------===//
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// Op Trait implementations
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//===----------------------------------------------------------------------===//
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bool OpTrait::impl::verifyZeroOperands(const Instruction *op) {
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if (op->getNumOperands() != 0)
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return op->emitOpError("requires zero operands");
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return false;
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}
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bool OpTrait::impl::verifyOneOperand(const Instruction *op) {
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if (op->getNumOperands() != 1)
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return op->emitOpError("requires a single operand");
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return false;
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}
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bool OpTrait::impl::verifyNOperands(const Instruction *op,
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unsigned numOperands) {
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if (op->getNumOperands() != numOperands) {
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return op->emitOpError("expected " + Twine(numOperands) +
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" operands, but found " +
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Twine(op->getNumOperands()));
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}
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return false;
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}
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bool OpTrait::impl::verifyAtLeastNOperands(const Instruction *op,
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unsigned numOperands) {
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if (op->getNumOperands() < numOperands)
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return op->emitOpError("expected " + Twine(numOperands) +
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" or more operands");
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return false;
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}
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/// If this is a vector type, or a tensor type, return the scalar element type
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/// that it is built around, otherwise return the type unmodified.
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static Type getTensorOrVectorElementType(Type type) {
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if (auto vec = type.dyn_cast<VectorType>())
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return vec.getElementType();
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// Look through tensor<vector<...>> to find the underlying element type.
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if (auto tensor = type.dyn_cast<TensorType>())
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return getTensorOrVectorElementType(tensor.getElementType());
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return type;
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}
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bool OpTrait::impl::verifyOperandsAreIntegerLike(const Instruction *op) {
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for (auto *operand : op->getOperands()) {
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auto type = getTensorOrVectorElementType(operand->getType());
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if (!type.isIntOrIndex())
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return op->emitOpError("requires an integer or index type");
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}
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return false;
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}
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bool OpTrait::impl::verifySameTypeOperands(const Instruction *op) {
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// Zero or one operand always have the "same" type.
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unsigned nOperands = op->getNumOperands();
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if (nOperands < 2)
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return false;
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auto type = op->getOperand(0)->getType();
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for (unsigned i = 1; i < nOperands; ++i) {
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if (op->getOperand(i)->getType() != type)
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return op->emitOpError("requires all operands to have the same type");
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}
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return false;
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}
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bool OpTrait::impl::verifyZeroResult(const Instruction *op) {
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if (op->getNumResults() != 0)
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return op->emitOpError("requires zero results");
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return false;
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}
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bool OpTrait::impl::verifyOneResult(const Instruction *op) {
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if (op->getNumResults() != 1)
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return op->emitOpError("requires one result");
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return false;
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}
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bool OpTrait::impl::verifyNResults(const Instruction *op,
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unsigned numOperands) {
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if (op->getNumResults() != numOperands)
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return op->emitOpError("expected " + Twine(numOperands) + " results");
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return false;
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}
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bool OpTrait::impl::verifyAtLeastNResults(const Instruction *op,
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unsigned numOperands) {
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if (op->getNumResults() < numOperands)
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return op->emitOpError("expected " + Twine(numOperands) +
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" or more results");
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return false;
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}
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/// Returns false if the given two types have the same shape. That is,
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/// they are both scalars, or they are both vectors / ranked tensors with
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/// the same dimension specifications. The element type does not matter.
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static bool verifyShapeMatch(Type type1, Type type2) {
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// Check scalar cases
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if (type1.isIntOrIndexOrFloat())
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return !type2.isIntOrIndexOrFloat();
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// Check unranked tensor cases
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if (type1.isa<UnrankedTensorType>() || type2.isa<UnrankedTensorType>())
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return true;
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// Check normal vector/tensor cases
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if (auto vtType1 = type1.dyn_cast<VectorOrTensorType>()) {
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auto vtType2 = type2.dyn_cast<VectorOrTensorType>();
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return !(vtType2 && vtType1.getShape() == vtType2.getShape());
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}
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return false;
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}
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bool OpTrait::impl::verifySameOperandsAndResultShape(const Instruction *op) {
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if (op->getNumOperands() == 0 || op->getNumResults() == 0)
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return true;
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auto type = op->getOperand(0)->getType();
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for (unsigned i = 0, e = op->getNumResults(); i < e; ++i) {
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if (verifyShapeMatch(op->getResult(i)->getType(), type))
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return op->emitOpError(
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"requires the same shape for all operands and results");
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}
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for (unsigned i = 1, e = op->getNumOperands(); i < e; ++i) {
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if (verifyShapeMatch(op->getOperand(i)->getType(), type))
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return op->emitOpError(
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"requires the same shape for all operands and results");
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}
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return false;
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}
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bool OpTrait::impl::verifySameOperandsAndResultType(const Instruction *op) {
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if (op->getNumOperands() == 0 || op->getNumResults() == 0)
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return true;
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auto type = op->getResult(0)->getType();
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for (unsigned i = 1, e = op->getNumResults(); i < e; ++i) {
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if (op->getResult(i)->getType() != type)
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return op->emitOpError(
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"requires the same type for all operands and results");
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}
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for (unsigned i = 0, e = op->getNumOperands(); i < e; ++i) {
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if (op->getOperand(i)->getType() != type)
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return op->emitOpError(
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"requires the same type for all operands and results");
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}
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return false;
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}
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static bool verifyBBArguments(
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llvm::iterator_range<Instruction::const_operand_iterator> operands,
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const Block *destBB, const Instruction *op) {
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unsigned operandCount = std::distance(operands.begin(), operands.end());
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if (operandCount != destBB->getNumArguments())
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return op->emitError("branch has " + Twine(operandCount) +
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" operands, but target block has " +
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Twine(destBB->getNumArguments()));
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auto operandIt = operands.begin();
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for (unsigned i = 0, e = operandCount; i != e; ++i, ++operandIt) {
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if ((*operandIt)->getType() != destBB->getArgument(i)->getType())
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return op->emitError("type mismatch in bb argument #" + Twine(i));
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}
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return false;
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}
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static bool verifyTerminatorSuccessors(const Instruction *op) {
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// Verify that the operands lines up with the BB arguments in the successor.
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const Function *fn = op->getFunction();
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for (unsigned i = 0, e = op->getNumSuccessors(); i != e; ++i) {
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auto *succ = op->getSuccessor(i);
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if (succ->getFunction() != fn)
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return op->emitError("reference to block defined in another function");
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if (verifyBBArguments(op->getSuccessorOperands(i), succ, op))
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return true;
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}
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return false;
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}
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bool OpTrait::impl::verifyIsTerminator(const Instruction *op) {
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const Block *block = op->getBlock();
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// Verify that the operation is at the end of the respective parent block.
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if (!block || &block->back() != op)
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return op->emitOpError("must be the last instruction in the parent block");
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// TODO(riverriddle) Terminators may not exist with an operation region.
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if (block->getContainingInst())
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return op->emitOpError("may only be at the top level of a function");
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// Verify the state of the successor blocks.
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if (op->getNumSuccessors() != 0 && verifyTerminatorSuccessors(op))
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return true;
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return false;
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}
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bool OpTrait::impl::verifyResultsAreBoolLike(const Instruction *op) {
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for (auto *result : op->getResults()) {
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auto elementType = getTensorOrVectorElementType(result->getType());
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bool isBoolType = elementType.isInteger(1);
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if (!isBoolType)
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return op->emitOpError("requires a bool result type");
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}
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return false;
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}
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bool OpTrait::impl::verifyResultsAreFloatLike(const Instruction *op) {
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for (auto *result : op->getResults()) {
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if (!getTensorOrVectorElementType(result->getType()).isa<FloatType>())
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return op->emitOpError("requires a floating point type");
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}
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return false;
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}
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bool OpTrait::impl::verifyResultsAreIntegerLike(const Instruction *op) {
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for (auto *result : op->getResults()) {
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auto type = getTensorOrVectorElementType(result->getType());
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if (!type.isIntOrIndex())
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return op->emitOpError("requires an integer or index type");
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}
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return false;
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}
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//===----------------------------------------------------------------------===//
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// BinaryOp implementation
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//===----------------------------------------------------------------------===//
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// These functions are out-of-line implementations of the methods in BinaryOp,
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// which avoids them being template instantiated/duplicated.
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void impl::buildBinaryOp(Builder *builder, OperationState *result, Value *lhs,
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Value *rhs) {
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assert(lhs->getType() == rhs->getType());
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result->addOperands({lhs, rhs});
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result->types.push_back(lhs->getType());
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}
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bool impl::parseBinaryOp(OpAsmParser *parser, OperationState *result) {
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SmallVector<OpAsmParser::OperandType, 2> ops;
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Type type;
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return parser->parseOperandList(ops, 2) ||
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parser->parseOptionalAttributeDict(result->attributes) ||
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parser->parseColonType(type) ||
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parser->resolveOperands(ops, type, result->operands) ||
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parser->addTypeToList(type, result->types);
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}
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void impl::printBinaryOp(const Instruction *op, OpAsmPrinter *p) {
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assert(op->getNumOperands() == 2 && "binary op should have two operands");
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assert(op->getNumResults() == 1 && "binary op should have one result");
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// If not all the operand and result types are the same, just use the
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// generic assembly form to avoid omitting information in printing.
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auto resultType = op->getResult(0)->getType();
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if (op->getOperand(0)->getType() != resultType ||
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op->getOperand(1)->getType() != resultType) {
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p->printGenericOp(op);
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return;
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}
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*p << op->getName() << ' ' << *op->getOperand(0) << ", "
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<< *op->getOperand(1);
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p->printOptionalAttrDict(op->getAttrs());
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// Now we can output only one type for all operands and the result.
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*p << " : " << op->getResult(0)->getType();
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}
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//===----------------------------------------------------------------------===//
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// CastOp implementation
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//===----------------------------------------------------------------------===//
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void impl::buildCastOp(Builder *builder, OperationState *result, Value *source,
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Type destType) {
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result->addOperands(source);
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result->addTypes(destType);
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}
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bool impl::parseCastOp(OpAsmParser *parser, OperationState *result) {
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OpAsmParser::OperandType srcInfo;
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Type srcType, dstType;
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return parser->parseOperand(srcInfo) || parser->parseColonType(srcType) ||
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parser->resolveOperand(srcInfo, srcType, result->operands) ||
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parser->parseKeywordType("to", dstType) ||
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parser->addTypeToList(dstType, result->types);
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}
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void impl::printCastOp(const Instruction *op, OpAsmPrinter *p) {
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*p << op->getName() << ' ' << *op->getOperand(0) << " : "
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<< op->getOperand(0)->getType() << " to " << op->getResult(0)->getType();
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}
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