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

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//===- Operation.cpp - Operation support code -----------------------------===//
//
// 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
//
//===----------------------------------------------------------------------===//
#include "mlir/IR/Operation.h"
#include "mlir/IR/BlockAndValueMapping.h"
#include "mlir/IR/Dialect.h"
#include "mlir/IR/OpImplementation.h"
#include "mlir/IR/PatternMatch.h"
#include "mlir/IR/StandardTypes.h"
#include "mlir/IR/TypeUtilities.h"
#include <numeric>
using namespace mlir;
OpAsmParser::~OpAsmParser() {}
//===----------------------------------------------------------------------===//
// OperationName
//===----------------------------------------------------------------------===//
/// 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 the dialect this operation is registered to.
StringRef OperationName::getDialect() const {
return getStringRef().split('.').first;
}
/// 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));
}
//===----------------------------------------------------------------------===//
// Operation
//===----------------------------------------------------------------------===//
/// Create a new Operation with the specific fields.
Operation *Operation::create(Location location, OperationName name,
ArrayRef<Type> resultTypes,
ArrayRef<Value> operands,
ArrayRef<NamedAttribute> attributes,
ArrayRef<Block *> successors, unsigned numRegions,
bool resizableOperandList) {
return create(location, name, resultTypes, operands,
NamedAttributeList(attributes), successors, numRegions,
resizableOperandList);
}
/// Create a new Operation from operation state.
Operation *Operation::create(const OperationState &state) {
return Operation::create(state.location, state.name, state.types,
state.operands, NamedAttributeList(state.attributes),
state.successors, state.regions,
state.resizableOperandList);
}
/// Create a new Operation with the specific fields.
Operation *Operation::create(Location location, OperationName name,
ArrayRef<Type> resultTypes,
ArrayRef<Value> operands,
NamedAttributeList attributes,
ArrayRef<Block *> successors, RegionRange regions,
bool resizableOperandList) {
unsigned numRegions = regions.size();
Operation *op = create(location, name, resultTypes, operands, attributes,
successors, numRegions, resizableOperandList);
for (unsigned i = 0; i < numRegions; ++i)
if (regions[i])
op->getRegion(i).takeBody(*regions[i]);
return op;
}
/// Overload of create that takes an existing NamedAttributeList to avoid
/// unnecessarily uniquing a list of attributes.
Operation *Operation::create(Location location, OperationName name,
ArrayRef<Type> resultTypes,
ArrayRef<Value> operands,
NamedAttributeList attributes,
ArrayRef<Block *> successors, unsigned numRegions,
bool resizableOperandList) {
// We only need to allocate additional memory for a subset of results.
unsigned numTrailingResults = OpResult::getNumTrailing(resultTypes.size());
unsigned numInlineResults = OpResult::getNumInline(resultTypes.size());
unsigned numSuccessors = successors.size();
unsigned numOperands = operands.size();
// Compute the byte size for the operation and the operand storage.
auto byteSize =
totalSizeToAlloc<detail::InLineOpResult, detail::TrailingOpResult,
BlockOperand, Region, detail::OperandStorage>(
numInlineResults, numTrailingResults, numSuccessors, numRegions,
/*detail::OperandStorage*/ 1);
byteSize += llvm::alignTo(detail::OperandStorage::additionalAllocSize(
numOperands, resizableOperandList),
alignof(Operation));
void *rawMem = malloc(byteSize);
// Create the new Operation.
auto op = ::new (rawMem) Operation(location, name, resultTypes, numSuccessors,
numRegions, attributes);
assert((numSuccessors == 0 || !op->isKnownNonTerminator()) &&
"unexpected successors in a non-terminator operation");
// Initialize the results.
for (unsigned i = 0; i < numInlineResults; ++i)
new (op->getInlineResult(i)) detail::InLineOpResult();
for (unsigned i = 0; i < numTrailingResults; ++i)
new (op->getTrailingResult(i)) detail::TrailingOpResult(i);
// Initialize the regions.
for (unsigned i = 0; i != numRegions; ++i)
new (&op->getRegion(i)) Region(op);
// Initialize the operands.
new (&op->getOperandStorage())
detail::OperandStorage(numOperands, resizableOperandList);
auto opOperands = op->getOpOperands();
for (unsigned i = 0; i != numOperands; ++i)
new (&opOperands[i]) OpOperand(op, operands[i]);
// Initialize the successors.
auto blockOperands = op->getBlockOperands();
for (unsigned i = 0; i != numSuccessors; ++i)
new (&blockOperands[i]) BlockOperand(op, successors[i]);
return op;
}
Operation::Operation(Location location, OperationName name,
ArrayRef<Type> resultTypes, unsigned numSuccessors,
unsigned numRegions, const NamedAttributeList &attributes)
: location(location), numSuccs(numSuccessors), numRegions(numRegions),
hasSingleResult(false), name(name), attrs(attributes) {
if (!resultTypes.empty()) {
// If there is a single result it is stored in-place, otherwise use a tuple.
hasSingleResult = resultTypes.size() == 1;
if (hasSingleResult)
resultType = resultTypes.front();
else
resultType = TupleType::get(resultTypes, location->getContext());
}
}
// Operations are deleted through the destroy() member because they are
// allocated via malloc.
Operation::~Operation() {
assert(block == nullptr && "operation destroyed but still in a block");
// Explicitly run the destructors for the operands and results.
getOperandStorage().~OperandStorage();
// Explicitly run the destructors for the successors.
for (auto &successor : getBlockOperands())
successor.~BlockOperand();
// Explicitly destroy the regions.
for (auto &region : getRegions())
region.~Region();
}
/// Destroy this operation or one of its subclasses.
void Operation::destroy() {
this->~Operation();
free(this);
}
/// Return the context this operation is associated with.
MLIRContext *Operation::getContext() { return location->getContext(); }
/// Return the dialect this operation is associated with, or nullptr if the
/// associated dialect is not registered.
Dialect *Operation::getDialect() {
if (auto *abstractOp = getAbstractOperation())
return &abstractOp->dialect;
// If this operation hasn't been registered or doesn't have abstract
// operation, try looking up the dialect name in the context.
return getContext()->getRegisteredDialect(getName().getDialect());
}
Region *Operation::getParentRegion() {
return block ? block->getParent() : nullptr;
}
Operation *Operation::getParentOp() {
return block ? block->getParentOp() : nullptr;
}
/// Return true if this operation is a proper ancestor of the `other`
/// operation.
bool Operation::isProperAncestor(Operation *other) {
while ((other = other->getParentOp()))
if (this == other)
return true;
return false;
}
/// Replace any uses of 'from' with 'to' within this operation.
void Operation::replaceUsesOfWith(Value from, Value to) {
if (from == to)
return;
for (auto &operand : getOpOperands())
if (operand.get() == from)
operand.set(to);
}
/// Replace the current operands of this operation with the ones provided in
/// 'operands'. If the operands list is not resizable, the size of 'operands'
/// must be less than or equal to the current number of operands.
void Operation::setOperands(ValueRange operands) {
getOperandStorage().setOperands(this, operands);
}
//===----------------------------------------------------------------------===//
// Diagnostics
//===----------------------------------------------------------------------===//
/// Emit an error about fatal conditions with this operation, reporting up to
/// any diagnostic handlers that may be listening.
InFlightDiagnostic Operation::emitError(const Twine &message) {
InFlightDiagnostic diag = mlir::emitError(getLoc(), message);
if (getContext()->shouldPrintOpOnDiagnostic()) {
// Print out the operation explicitly here so that we can print the generic
// form.
// TODO(riverriddle) It would be nice if we could instead provide the
// specific printing flags when adding the operation as an argument to the
// diagnostic.
std::string printedOp;
{
llvm::raw_string_ostream os(printedOp);
print(os, OpPrintingFlags().printGenericOpForm().useLocalScope());
}
diag.attachNote(getLoc()) << "see current operation: " << printedOp;
}
return diag;
}
/// Emit a warning about this operation, reporting up to any diagnostic
/// handlers that may be listening.
Introduce a new API for emitting diagnostics with Diagnostic and InFlightDiagnostic. The Diagnostic class contains all of the information necessary to report a diagnostic to the DiagnosticEngine. It should generally not be constructed directly, and instead used transitively via InFlightDiagnostic. A diagnostic is currently comprised of several different elements: * A severity level. * A source Location. * A list of DiagnosticArguments that help compose and comprise the output message. * A DiagnosticArgument represents any value that may be part of the diagnostic, e.g. string, integer, Type, Attribute, etc. * Arguments can be added to the diagnostic via the stream(<<) operator. * (In a future cl) A list of attached notes. * These are in the form of other diagnostics that provide supplemental information to the main diagnostic, but do not have context on their own. The InFlightDiagnostic class represents an RAII wrapper around a Diagnostic that is set to be reported with the diagnostic engine. This allows for the user to modify a diagnostic that is inflight. The internally wrapped diagnostic can be reported directly or automatically upon destruction. These classes allow for more natural composition of diagnostics by removing the restriction that the message of a diagnostic is comprised of a single Twine. They should also allow for nice incremental improvements to the diagnostics experience in the future, e.g. formatv style diagnostics. Simple Example: emitError(loc, "integer bitwidth is limited to " + Twine(IntegerType::kMaxWidth) + " bits"); emitError(loc) << "integer bitwidth is limited to " << IntegerType::kMaxWidth << " bits"; -- PiperOrigin-RevId: 246526439
2019-05-04 01:01:01 +08:00
InFlightDiagnostic Operation::emitWarning(const Twine &message) {
InFlightDiagnostic diag = mlir::emitWarning(getLoc(), message);
if (getContext()->shouldPrintOpOnDiagnostic())
diag.attachNote(getLoc()) << "see current operation: " << *this;
return diag;
}
/// Emit a remark about this operation, reporting up to any diagnostic
/// handlers that may be listening.
InFlightDiagnostic Operation::emitRemark(const Twine &message) {
InFlightDiagnostic diag = mlir::emitRemark(getLoc(), message);
if (getContext()->shouldPrintOpOnDiagnostic())
diag.attachNote(getLoc()) << "see current operation: " << *this;
return diag;
}
//===----------------------------------------------------------------------===//
// Operation Ordering
//===----------------------------------------------------------------------===//
constexpr unsigned Operation::kInvalidOrderIdx;
constexpr unsigned Operation::kOrderStride;
/// Given an operation 'other' that is within the same parent block, return
/// whether the current operation is before 'other' in the operation list
/// of the parent block.
/// Note: This function has an average complexity of O(1), but worst case may
/// take O(N) where N is the number of operations within the parent block.
bool Operation::isBeforeInBlock(Operation *other) {
assert(block && "Operations without parent blocks have no order.");
assert(other && other->block == block &&
"Expected other operation to have the same parent block.");
// If the order of the block is already invalid, directly recompute the
// parent.
if (!block->isOpOrderValid()) {
block->recomputeOpOrder();
} else {
// Update the order either operation if necessary.
updateOrderIfNecessary();
other->updateOrderIfNecessary();
}
return orderIndex < other->orderIndex;
}
/// Update the order index of this operation of this operation if necessary,
/// potentially recomputing the order of the parent block.
void Operation::updateOrderIfNecessary() {
assert(block && "expected valid parent");
// If the order is valid for this operation there is nothing to do.
if (hasValidOrder())
return;
Operation *blockFront = &block->front();
Operation *blockBack = &block->back();
// This method is expected to only be invoked on blocks with more than one
// operation.
assert(blockFront != blockBack && "expected more than one operation");
// If the operation is at the end of the block.
if (this == blockBack) {
Operation *prevNode = getPrevNode();
if (!prevNode->hasValidOrder())
return block->recomputeOpOrder();
// Add the stride to the previous operation.
orderIndex = prevNode->orderIndex + kOrderStride;
return;
}
// If this is the first operation try to use the next operation to compute the
// ordering.
if (this == blockFront) {
Operation *nextNode = getNextNode();
if (!nextNode->hasValidOrder())
return block->recomputeOpOrder();
// There is no order to give this operation.
if (nextNode->orderIndex == 0)
return block->recomputeOpOrder();
// If we can't use the stride, just take the middle value left. This is safe
// because we know there is at least one valid index to assign to.
if (nextNode->orderIndex <= kOrderStride)
orderIndex = (nextNode->orderIndex / 2);
else
orderIndex = kOrderStride;
return;
}
// Otherwise, this operation is between two others. Place this operation in
// the middle of the previous and next if possible.
Operation *prevNode = getPrevNode(), *nextNode = getNextNode();
if (!prevNode->hasValidOrder() || !nextNode->hasValidOrder())
return block->recomputeOpOrder();
unsigned prevOrder = prevNode->orderIndex, nextOrder = nextNode->orderIndex;
// Check to see if there is a valid order between the two.
if (prevOrder + 1 == nextOrder)
return block->recomputeOpOrder();
orderIndex = prevOrder + 1 + ((nextOrder - prevOrder) / 2);
}
//===----------------------------------------------------------------------===//
// ilist_traits for Operation
//===----------------------------------------------------------------------===//
auto llvm::ilist_detail::SpecificNodeAccess<
typename llvm::ilist_detail::compute_node_options<
::mlir::Operation>::type>::getNodePtr(pointer N) -> node_type * {
return NodeAccess::getNodePtr<OptionsT>(N);
}
auto llvm::ilist_detail::SpecificNodeAccess<
typename llvm::ilist_detail::compute_node_options<
::mlir::Operation>::type>::getNodePtr(const_pointer N)
-> const node_type * {
return NodeAccess::getNodePtr<OptionsT>(N);
}
auto llvm::ilist_detail::SpecificNodeAccess<
typename llvm::ilist_detail::compute_node_options<
::mlir::Operation>::type>::getValuePtr(node_type *N) -> pointer {
return NodeAccess::getValuePtr<OptionsT>(N);
}
auto llvm::ilist_detail::SpecificNodeAccess<
typename llvm::ilist_detail::compute_node_options<
::mlir::Operation>::type>::getValuePtr(const node_type *N)
-> const_pointer {
return NodeAccess::getValuePtr<OptionsT>(N);
}
void llvm::ilist_traits<::mlir::Operation>::deleteNode(Operation *op) {
op->destroy();
}
Block *llvm::ilist_traits<::mlir::Operation>::getContainingBlock() {
size_t Offset(size_t(&((Block *)nullptr->*Block::getSublistAccess(nullptr))));
iplist<Operation> *Anchor(static_cast<iplist<Operation> *>(this));
return reinterpret_cast<Block *>(reinterpret_cast<char *>(Anchor) - Offset);
}
/// This is a trait method invoked when an operation is added to a block. We
/// keep the block pointer up to date.
void llvm::ilist_traits<::mlir::Operation>::addNodeToList(Operation *op) {
assert(!op->getBlock() && "already in an operation block!");
op->block = getContainingBlock();
// Invalidate the order on the operation.
op->orderIndex = Operation::kInvalidOrderIdx;
}
/// This is a trait method invoked when an operation is removed from a block.
/// We keep the block pointer up to date.
void llvm::ilist_traits<::mlir::Operation>::removeNodeFromList(Operation *op) {
assert(op->block && "not already in an operation block!");
op->block = nullptr;
}
/// This is a trait method invoked when an operation is moved from one block
/// to another. We keep the block pointer up to date.
void llvm::ilist_traits<::mlir::Operation>::transferNodesFromList(
ilist_traits<Operation> &otherList, op_iterator first, op_iterator last) {
Block *curParent = getContainingBlock();
// Invalidate the ordering of the parent block.
curParent->invalidateOpOrder();
// If we are transferring operations within the same block, the block
// pointer doesn't need to be updated.
if (curParent == otherList.getContainingBlock())
return;
// Update the 'block' member of each operation.
for (; first != last; ++first)
first->block = curParent;
}
/// Remove this operation (and its descendants) from its Block and delete
/// all of them.
void Operation::erase() {
if (auto *parent = getBlock())
parent->getOperations().erase(this);
else
destroy();
}
/// Unlink this operation from its current block and insert it right before
/// `existingOp` which may be in the same or another block in the same
/// function.
void Operation::moveBefore(Operation *existingOp) {
moveBefore(existingOp->getBlock(), existingOp->getIterator());
}
/// Unlink this operation from its current basic block and insert it right
/// before `iterator` in the specified basic block.
void Operation::moveBefore(Block *block,
llvm::iplist<Operation>::iterator iterator) {
block->getOperations().splice(iterator, getBlock()->getOperations(),
getIterator());
}
/// This drops all operand uses from this operation, which is an essential
/// step in breaking cyclic dependences between references when they are to
/// be deleted.
void Operation::dropAllReferences() {
for (auto &op : getOpOperands())
op.drop();
for (auto &region : getRegions())
region.dropAllReferences();
for (auto &dest : getBlockOperands())
dest.drop();
}
/// This drops all uses of any values defined by this operation or its nested
/// regions, wherever they are located.
void Operation::dropAllDefinedValueUses() {
dropAllUses();
for (auto &region : getRegions())
for (auto &block : region)
block.dropAllDefinedValueUses();
}
/// Return the number of results held by this operation.
unsigned Operation::getNumResults() {
if (!resultType)
return 0;
return hasSingleResult ? 1 : resultType.cast<TupleType>().size();
}
auto Operation::getResultTypes() -> result_type_range {
if (!resultType)
return llvm::None;
if (hasSingleResult)
return resultType;
return resultType.cast<TupleType>().getTypes();
}
void Operation::setSuccessor(Block *block, unsigned index) {
assert(index < getNumSuccessors());
getBlockOperands()[index].set(block);
}
/// Attempt to fold this operation using the Op's registered foldHook.
LogicalResult Operation::fold(ArrayRef<Attribute> operands,
SmallVectorImpl<OpFoldResult> &results) {
// If we have a registered operation definition matching this one, use it to
// try to constant fold the operation.
auto *abstractOp = getAbstractOperation();
if (abstractOp && succeeded(abstractOp->foldHook(this, operands, results)))
return success();
// Otherwise, fall back on the dialect hook to handle it.
Dialect *dialect = getDialect();
if (!dialect)
return failure();
SmallVector<Attribute, 8> constants;
if (failed(dialect->constantFoldHook(this, operands, constants)))
return failure();
results.assign(constants.begin(), constants.end());
return success();
}
/// Emit an error with the op name prefixed, like "'dim' op " which is
/// convenient for verifiers.
Introduce a new API for emitting diagnostics with Diagnostic and InFlightDiagnostic. The Diagnostic class contains all of the information necessary to report a diagnostic to the DiagnosticEngine. It should generally not be constructed directly, and instead used transitively via InFlightDiagnostic. A diagnostic is currently comprised of several different elements: * A severity level. * A source Location. * A list of DiagnosticArguments that help compose and comprise the output message. * A DiagnosticArgument represents any value that may be part of the diagnostic, e.g. string, integer, Type, Attribute, etc. * Arguments can be added to the diagnostic via the stream(<<) operator. * (In a future cl) A list of attached notes. * These are in the form of other diagnostics that provide supplemental information to the main diagnostic, but do not have context on their own. The InFlightDiagnostic class represents an RAII wrapper around a Diagnostic that is set to be reported with the diagnostic engine. This allows for the user to modify a diagnostic that is inflight. The internally wrapped diagnostic can be reported directly or automatically upon destruction. These classes allow for more natural composition of diagnostics by removing the restriction that the message of a diagnostic is comprised of a single Twine. They should also allow for nice incremental improvements to the diagnostics experience in the future, e.g. formatv style diagnostics. Simple Example: emitError(loc, "integer bitwidth is limited to " + Twine(IntegerType::kMaxWidth) + " bits"); emitError(loc) << "integer bitwidth is limited to " << IntegerType::kMaxWidth << " bits"; -- PiperOrigin-RevId: 246526439
2019-05-04 01:01:01 +08:00
InFlightDiagnostic Operation::emitOpError(const Twine &message) {
return emitError() << "'" << getName() << "' op " << message;
}
//===----------------------------------------------------------------------===//
// Operation Cloning
//===----------------------------------------------------------------------===//
/// Create a deep copy of this operation but keep the operation regions empty.
/// Operands are remapped using `mapper` (if present), and `mapper` is updated
/// to contain the results.
Operation *Operation::cloneWithoutRegions(BlockAndValueMapping &mapper) {
SmallVector<Value, 8> operands;
SmallVector<Block *, 2> successors;
// Remap the operands.
operands.reserve(getNumOperands());
for (auto opValue : getOperands())
operands.push_back(mapper.lookupOrDefault(opValue));
// Remap the successors.
successors.reserve(getNumSuccessors());
for (Block *successor : getSuccessors())
successors.push_back(mapper.lookupOrDefault(successor));
// Create the new operation.
auto *newOp = Operation::create(getLoc(), getName(), getResultTypes(),
operands, attrs, successors, getNumRegions(),
hasResizableOperandsList());
// Remember the mapping of any results.
for (unsigned i = 0, e = getNumResults(); i != e; ++i)
mapper.map(getResult(i), newOp->getResult(i));
return newOp;
}
Operation *Operation::cloneWithoutRegions() {
BlockAndValueMapping mapper;
return cloneWithoutRegions(mapper);
}
/// Create a deep copy of this operation, remapping any operands that use
/// values outside of the operation using the map that is provided (leaving
/// them alone if no entry is present). Replaces references to cloned
/// sub-operations to the corresponding operation that is copied, and adds
/// those mappings to the map.
Operation *Operation::clone(BlockAndValueMapping &mapper) {
auto *newOp = cloneWithoutRegions(mapper);
// Clone the regions.
for (unsigned i = 0; i != numRegions; ++i)
getRegion(i).cloneInto(&newOp->getRegion(i), mapper);
return newOp;
}
Operation *Operation::clone() {
BlockAndValueMapping mapper;
return clone(mapper);
}
//===----------------------------------------------------------------------===//
// OpState trait class.
//===----------------------------------------------------------------------===//
// The fallback for the parser is to reject the custom assembly form.
ParseResult 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) { p.printGenericOp(getOperation()); }
/// Emit an error about fatal conditions with this operation, reporting up to
Introduce a new API for emitting diagnostics with Diagnostic and InFlightDiagnostic. The Diagnostic class contains all of the information necessary to report a diagnostic to the DiagnosticEngine. It should generally not be constructed directly, and instead used transitively via InFlightDiagnostic. A diagnostic is currently comprised of several different elements: * A severity level. * A source Location. * A list of DiagnosticArguments that help compose and comprise the output message. * A DiagnosticArgument represents any value that may be part of the diagnostic, e.g. string, integer, Type, Attribute, etc. * Arguments can be added to the diagnostic via the stream(<<) operator. * (In a future cl) A list of attached notes. * These are in the form of other diagnostics that provide supplemental information to the main diagnostic, but do not have context on their own. The InFlightDiagnostic class represents an RAII wrapper around a Diagnostic that is set to be reported with the diagnostic engine. This allows for the user to modify a diagnostic that is inflight. The internally wrapped diagnostic can be reported directly or automatically upon destruction. These classes allow for more natural composition of diagnostics by removing the restriction that the message of a diagnostic is comprised of a single Twine. They should also allow for nice incremental improvements to the diagnostics experience in the future, e.g. formatv style diagnostics. Simple Example: emitError(loc, "integer bitwidth is limited to " + Twine(IntegerType::kMaxWidth) + " bits"); emitError(loc) << "integer bitwidth is limited to " << IntegerType::kMaxWidth << " bits"; -- PiperOrigin-RevId: 246526439
2019-05-04 01:01:01 +08:00
/// any diagnostic handlers that may be listening.
InFlightDiagnostic OpState::emitError(const Twine &message) {
return getOperation()->emitError(message);
}
/// Emit an error with the op name prefixed, like "'dim' op " which is
/// convenient for verifiers.
Introduce a new API for emitting diagnostics with Diagnostic and InFlightDiagnostic. The Diagnostic class contains all of the information necessary to report a diagnostic to the DiagnosticEngine. It should generally not be constructed directly, and instead used transitively via InFlightDiagnostic. A diagnostic is currently comprised of several different elements: * A severity level. * A source Location. * A list of DiagnosticArguments that help compose and comprise the output message. * A DiagnosticArgument represents any value that may be part of the diagnostic, e.g. string, integer, Type, Attribute, etc. * Arguments can be added to the diagnostic via the stream(<<) operator. * (In a future cl) A list of attached notes. * These are in the form of other diagnostics that provide supplemental information to the main diagnostic, but do not have context on their own. The InFlightDiagnostic class represents an RAII wrapper around a Diagnostic that is set to be reported with the diagnostic engine. This allows for the user to modify a diagnostic that is inflight. The internally wrapped diagnostic can be reported directly or automatically upon destruction. These classes allow for more natural composition of diagnostics by removing the restriction that the message of a diagnostic is comprised of a single Twine. They should also allow for nice incremental improvements to the diagnostics experience in the future, e.g. formatv style diagnostics. Simple Example: emitError(loc, "integer bitwidth is limited to " + Twine(IntegerType::kMaxWidth) + " bits"); emitError(loc) << "integer bitwidth is limited to " << IntegerType::kMaxWidth << " bits"; -- PiperOrigin-RevId: 246526439
2019-05-04 01:01:01 +08:00
InFlightDiagnostic OpState::emitOpError(const Twine &message) {
return getOperation()->emitOpError(message);
}
/// Emit a warning about this operation, reporting up to any diagnostic
/// handlers that may be listening.
Introduce a new API for emitting diagnostics with Diagnostic and InFlightDiagnostic. The Diagnostic class contains all of the information necessary to report a diagnostic to the DiagnosticEngine. It should generally not be constructed directly, and instead used transitively via InFlightDiagnostic. A diagnostic is currently comprised of several different elements: * A severity level. * A source Location. * A list of DiagnosticArguments that help compose and comprise the output message. * A DiagnosticArgument represents any value that may be part of the diagnostic, e.g. string, integer, Type, Attribute, etc. * Arguments can be added to the diagnostic via the stream(<<) operator. * (In a future cl) A list of attached notes. * These are in the form of other diagnostics that provide supplemental information to the main diagnostic, but do not have context on their own. The InFlightDiagnostic class represents an RAII wrapper around a Diagnostic that is set to be reported with the diagnostic engine. This allows for the user to modify a diagnostic that is inflight. The internally wrapped diagnostic can be reported directly or automatically upon destruction. These classes allow for more natural composition of diagnostics by removing the restriction that the message of a diagnostic is comprised of a single Twine. They should also allow for nice incremental improvements to the diagnostics experience in the future, e.g. formatv style diagnostics. Simple Example: emitError(loc, "integer bitwidth is limited to " + Twine(IntegerType::kMaxWidth) + " bits"); emitError(loc) << "integer bitwidth is limited to " << IntegerType::kMaxWidth << " bits"; -- PiperOrigin-RevId: 246526439
2019-05-04 01:01:01 +08:00
InFlightDiagnostic OpState::emitWarning(const Twine &message) {
return getOperation()->emitWarning(message);
}
/// Emit a remark about this operation, reporting up to any diagnostic
/// handlers that may be listening.
Introduce a new API for emitting diagnostics with Diagnostic and InFlightDiagnostic. The Diagnostic class contains all of the information necessary to report a diagnostic to the DiagnosticEngine. It should generally not be constructed directly, and instead used transitively via InFlightDiagnostic. A diagnostic is currently comprised of several different elements: * A severity level. * A source Location. * A list of DiagnosticArguments that help compose and comprise the output message. * A DiagnosticArgument represents any value that may be part of the diagnostic, e.g. string, integer, Type, Attribute, etc. * Arguments can be added to the diagnostic via the stream(<<) operator. * (In a future cl) A list of attached notes. * These are in the form of other diagnostics that provide supplemental information to the main diagnostic, but do not have context on their own. The InFlightDiagnostic class represents an RAII wrapper around a Diagnostic that is set to be reported with the diagnostic engine. This allows for the user to modify a diagnostic that is inflight. The internally wrapped diagnostic can be reported directly or automatically upon destruction. These classes allow for more natural composition of diagnostics by removing the restriction that the message of a diagnostic is comprised of a single Twine. They should also allow for nice incremental improvements to the diagnostics experience in the future, e.g. formatv style diagnostics. Simple Example: emitError(loc, "integer bitwidth is limited to " + Twine(IntegerType::kMaxWidth) + " bits"); emitError(loc) << "integer bitwidth is limited to " << IntegerType::kMaxWidth << " bits"; -- PiperOrigin-RevId: 246526439
2019-05-04 01:01:01 +08:00
InFlightDiagnostic OpState::emitRemark(const Twine &message) {
return getOperation()->emitRemark(message);
}
//===----------------------------------------------------------------------===//
// Op Trait implementations
//===----------------------------------------------------------------------===//
LogicalResult OpTrait::impl::verifyZeroOperands(Operation *op) {
if (op->getNumOperands() != 0)
return op->emitOpError() << "requires zero operands";
return success();
}
LogicalResult OpTrait::impl::verifyOneOperand(Operation *op) {
if (op->getNumOperands() != 1)
return op->emitOpError() << "requires a single operand";
return success();
}
LogicalResult OpTrait::impl::verifyNOperands(Operation *op,
unsigned numOperands) {
if (op->getNumOperands() != numOperands) {
return op->emitOpError() << "expected " << numOperands
<< " operands, but found " << op->getNumOperands();
}
return success();
}
LogicalResult OpTrait::impl::verifyAtLeastNOperands(Operation *op,
unsigned numOperands) {
if (op->getNumOperands() < numOperands)
return op->emitOpError()
<< "expected " << numOperands << " or more operands";
return success();
}
/// 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;
}
[mlir] Add a signedness semantics bit to IntegerType Thus far IntegerType has been signless: a value of IntegerType does not have a sign intrinsically and it's up to the specific operation to decide how to interpret those bits. For example, std.addi does two's complement arithmetic, and std.divis/std.diviu treats the first bit as a sign. This design choice was made some time ago when we did't have lots of dialects and dialects were more rigid. Today we have much more extensible infrastructure and different dialect may want different modelling over integer signedness. So while we can say we want signless integers in the standard dialect, we cannot dictate for others. Requiring each dialect to model the signedness semantics with another set of custom types is duplicating the functionality everywhere, considering the fundamental role integer types play. This CL extends the IntegerType with a signedness semantics bit. This gives each dialect an option to opt in signedness semantics if that's what they want and helps code sharing. The parser is modified to recognize `si[1-9][0-9]*` and `ui[1-9][0-9]*` as signed and unsigned integer types, respectively, leaving the original `i[1-9][0-9]*` to continue to mean no indication over signedness semantics. All existing dialects are not affected (yet) as this is a feature to opt in. More discussions can be found at: https://groups.google.com/a/tensorflow.org/d/msg/mlir/XmkV8HOPWpo/7O4X0Nb_AQAJ Differential Revision: https://reviews.llvm.org/D72533
2020-01-11 03:48:24 +08:00
LogicalResult
OpTrait::impl::verifyOperandsAreSignlessIntegerLike(Operation *op) {
for (auto opType : op->getOperandTypes()) {
auto type = getTensorOrVectorElementType(opType);
[mlir] Add a signedness semantics bit to IntegerType Thus far IntegerType has been signless: a value of IntegerType does not have a sign intrinsically and it's up to the specific operation to decide how to interpret those bits. For example, std.addi does two's complement arithmetic, and std.divis/std.diviu treats the first bit as a sign. This design choice was made some time ago when we did't have lots of dialects and dialects were more rigid. Today we have much more extensible infrastructure and different dialect may want different modelling over integer signedness. So while we can say we want signless integers in the standard dialect, we cannot dictate for others. Requiring each dialect to model the signedness semantics with another set of custom types is duplicating the functionality everywhere, considering the fundamental role integer types play. This CL extends the IntegerType with a signedness semantics bit. This gives each dialect an option to opt in signedness semantics if that's what they want and helps code sharing. The parser is modified to recognize `si[1-9][0-9]*` and `ui[1-9][0-9]*` as signed and unsigned integer types, respectively, leaving the original `i[1-9][0-9]*` to continue to mean no indication over signedness semantics. All existing dialects are not affected (yet) as this is a feature to opt in. More discussions can be found at: https://groups.google.com/a/tensorflow.org/d/msg/mlir/XmkV8HOPWpo/7O4X0Nb_AQAJ Differential Revision: https://reviews.llvm.org/D72533
2020-01-11 03:48:24 +08:00
if (!type.isSignlessIntOrIndex())
return op->emitOpError() << "requires an integer or index type";
}
return success();
}
LogicalResult OpTrait::impl::verifyOperandsAreFloatLike(Operation *op) {
for (auto opType : op->getOperandTypes()) {
auto type = getTensorOrVectorElementType(opType);
if (!type.isa<FloatType>())
return op->emitOpError("requires a float type");
}
return success();
}
LogicalResult OpTrait::impl::verifySameTypeOperands(Operation *op) {
// Zero or one operand always have the "same" type.
unsigned nOperands = op->getNumOperands();
if (nOperands < 2)
return success();
auto type = op->getOperand(0).getType();
for (auto opType : llvm::drop_begin(op->getOperandTypes(), 1))
if (opType != type)
return op->emitOpError() << "requires all operands to have the same type";
return success();
}
LogicalResult OpTrait::impl::verifyZeroRegion(Operation *op) {
if (op->getNumRegions() != 0)
return op->emitOpError() << "requires zero regions";
return success();
}
LogicalResult OpTrait::impl::verifyOneRegion(Operation *op) {
if (op->getNumRegions() != 1)
return op->emitOpError() << "requires one region";
return success();
}
LogicalResult OpTrait::impl::verifyNRegions(Operation *op,
unsigned numRegions) {
if (op->getNumRegions() != numRegions)
return op->emitOpError() << "expected " << numRegions << " regions";
return success();
}
LogicalResult OpTrait::impl::verifyAtLeastNRegions(Operation *op,
unsigned numRegions) {
if (op->getNumRegions() < numRegions)
return op->emitOpError() << "expected " << numRegions << " or more regions";
return success();
}
LogicalResult OpTrait::impl::verifyZeroResult(Operation *op) {
if (op->getNumResults() != 0)
return op->emitOpError() << "requires zero results";
return success();
}
LogicalResult OpTrait::impl::verifyOneResult(Operation *op) {
if (op->getNumResults() != 1)
return op->emitOpError() << "requires one result";
return success();
}
LogicalResult OpTrait::impl::verifyNResults(Operation *op,
unsigned numOperands) {
if (op->getNumResults() != numOperands)
return op->emitOpError() << "expected " << numOperands << " results";
return success();
}
LogicalResult OpTrait::impl::verifyAtLeastNResults(Operation *op,
unsigned numOperands) {
if (op->getNumResults() < numOperands)
return op->emitOpError()
<< "expected " << numOperands << " or more results";
return success();
}
LogicalResult OpTrait::impl::verifySameOperandsShape(Operation *op) {
if (failed(verifyAtLeastNOperands(op, 1)))
return failure();
auto type = op->getOperand(0).getType();
for (auto opType : llvm::drop_begin(op->getOperandTypes(), 1)) {
if (failed(verifyCompatibleShape(opType, type)))
return op->emitOpError() << "requires the same shape for all operands";
}
return success();
}
LogicalResult OpTrait::impl::verifySameOperandsAndResultShape(Operation *op) {
if (failed(verifyAtLeastNOperands(op, 1)) ||
failed(verifyAtLeastNResults(op, 1)))
return failure();
auto type = op->getOperand(0).getType();
for (auto resultType : op->getResultTypes()) {
if (failed(verifyCompatibleShape(resultType, type)))
return op->emitOpError()
<< "requires the same shape for all operands and results";
}
for (auto opType : llvm::drop_begin(op->getOperandTypes(), 1)) {
if (failed(verifyCompatibleShape(opType, type)))
return op->emitOpError()
<< "requires the same shape for all operands and results";
}
return success();
}
LogicalResult OpTrait::impl::verifySameOperandsElementType(Operation *op) {
if (failed(verifyAtLeastNOperands(op, 1)))
return failure();
auto elementType = getElementTypeOrSelf(op->getOperand(0));
for (auto operand : llvm::drop_begin(op->getOperands(), 1)) {
if (getElementTypeOrSelf(operand) != elementType)
return op->emitOpError("requires the same element type for all operands");
}
return success();
}
LogicalResult
OpTrait::impl::verifySameOperandsAndResultElementType(Operation *op) {
if (failed(verifyAtLeastNOperands(op, 1)) ||
failed(verifyAtLeastNResults(op, 1)))
return failure();
auto elementType = getElementTypeOrSelf(op->getResult(0));
// Verify result element type matches first result's element type.
for (auto result : llvm::drop_begin(op->getResults(), 1)) {
if (getElementTypeOrSelf(result) != elementType)
return op->emitOpError(
"requires the same element type for all operands and results");
}
// Verify operand's element type matches first result's element type.
for (auto operand : op->getOperands()) {
if (getElementTypeOrSelf(operand) != elementType)
return op->emitOpError(
"requires the same element type for all operands and results");
}
return success();
}
LogicalResult OpTrait::impl::verifySameOperandsAndResultType(Operation *op) {
if (failed(verifyAtLeastNOperands(op, 1)) ||
failed(verifyAtLeastNResults(op, 1)))
return failure();
auto type = op->getResult(0).getType();
auto elementType = getElementTypeOrSelf(type);
for (auto resultType : op->getResultTypes().drop_front(1)) {
if (getElementTypeOrSelf(resultType) != elementType ||
failed(verifyCompatibleShape(resultType, type)))
return op->emitOpError()
<< "requires the same type for all operands and results";
}
for (auto opType : op->getOperandTypes()) {
if (getElementTypeOrSelf(opType) != elementType ||
failed(verifyCompatibleShape(opType, type)))
return op->emitOpError()
<< "requires the same type for all operands and results";
}
return success();
}
LogicalResult OpTrait::impl::verifyIsTerminator(Operation *op) {
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 operation in the parent block");
return success();
}
static LogicalResult verifyTerminatorSuccessors(Operation *op) {
auto *parent = op->getParentRegion();
// Verify that the operands lines up with the BB arguments in the successor.
for (Block *succ : op->getSuccessors())
if (succ->getParent() != parent)
return op->emitError("reference to block defined in another region");
return success();
}
LogicalResult OpTrait::impl::verifyZeroSuccessor(Operation *op) {
if (op->getNumSuccessors() != 0) {
return op->emitOpError("requires 0 successors but found ")
<< op->getNumSuccessors();
}
return success();
}
LogicalResult OpTrait::impl::verifyOneSuccessor(Operation *op) {
if (op->getNumSuccessors() != 1) {
return op->emitOpError("requires 1 successor but found ")
<< op->getNumSuccessors();
}
return verifyTerminatorSuccessors(op);
}
LogicalResult OpTrait::impl::verifyNSuccessors(Operation *op,
unsigned numSuccessors) {
if (op->getNumSuccessors() != numSuccessors) {
return op->emitOpError("requires ")
<< numSuccessors << " successors but found "
<< op->getNumSuccessors();
}
return verifyTerminatorSuccessors(op);
}
LogicalResult OpTrait::impl::verifyAtLeastNSuccessors(Operation *op,
unsigned numSuccessors) {
if (op->getNumSuccessors() < numSuccessors) {
return op->emitOpError("requires at least ")
<< numSuccessors << " successors but found "
<< op->getNumSuccessors();
}
return verifyTerminatorSuccessors(op);
}
LogicalResult OpTrait::impl::verifyResultsAreBoolLike(Operation *op) {
for (auto resultType : op->getResultTypes()) {
auto elementType = getTensorOrVectorElementType(resultType);
bool isBoolType = elementType.isInteger(1);
if (!isBoolType)
return op->emitOpError() << "requires a bool result type";
}
return success();
}
LogicalResult OpTrait::impl::verifyResultsAreFloatLike(Operation *op) {
for (auto resultType : op->getResultTypes())
if (!getTensorOrVectorElementType(resultType).isa<FloatType>())
return op->emitOpError() << "requires a floating point type";
return success();
}
[mlir] Add a signedness semantics bit to IntegerType Thus far IntegerType has been signless: a value of IntegerType does not have a sign intrinsically and it's up to the specific operation to decide how to interpret those bits. For example, std.addi does two's complement arithmetic, and std.divis/std.diviu treats the first bit as a sign. This design choice was made some time ago when we did't have lots of dialects and dialects were more rigid. Today we have much more extensible infrastructure and different dialect may want different modelling over integer signedness. So while we can say we want signless integers in the standard dialect, we cannot dictate for others. Requiring each dialect to model the signedness semantics with another set of custom types is duplicating the functionality everywhere, considering the fundamental role integer types play. This CL extends the IntegerType with a signedness semantics bit. This gives each dialect an option to opt in signedness semantics if that's what they want and helps code sharing. The parser is modified to recognize `si[1-9][0-9]*` and `ui[1-9][0-9]*` as signed and unsigned integer types, respectively, leaving the original `i[1-9][0-9]*` to continue to mean no indication over signedness semantics. All existing dialects are not affected (yet) as this is a feature to opt in. More discussions can be found at: https://groups.google.com/a/tensorflow.org/d/msg/mlir/XmkV8HOPWpo/7O4X0Nb_AQAJ Differential Revision: https://reviews.llvm.org/D72533
2020-01-11 03:48:24 +08:00
LogicalResult
OpTrait::impl::verifyResultsAreSignlessIntegerLike(Operation *op) {
for (auto resultType : op->getResultTypes())
[mlir] Add a signedness semantics bit to IntegerType Thus far IntegerType has been signless: a value of IntegerType does not have a sign intrinsically and it's up to the specific operation to decide how to interpret those bits. For example, std.addi does two's complement arithmetic, and std.divis/std.diviu treats the first bit as a sign. This design choice was made some time ago when we did't have lots of dialects and dialects were more rigid. Today we have much more extensible infrastructure and different dialect may want different modelling over integer signedness. So while we can say we want signless integers in the standard dialect, we cannot dictate for others. Requiring each dialect to model the signedness semantics with another set of custom types is duplicating the functionality everywhere, considering the fundamental role integer types play. This CL extends the IntegerType with a signedness semantics bit. This gives each dialect an option to opt in signedness semantics if that's what they want and helps code sharing. The parser is modified to recognize `si[1-9][0-9]*` and `ui[1-9][0-9]*` as signed and unsigned integer types, respectively, leaving the original `i[1-9][0-9]*` to continue to mean no indication over signedness semantics. All existing dialects are not affected (yet) as this is a feature to opt in. More discussions can be found at: https://groups.google.com/a/tensorflow.org/d/msg/mlir/XmkV8HOPWpo/7O4X0Nb_AQAJ Differential Revision: https://reviews.llvm.org/D72533
2020-01-11 03:48:24 +08:00
if (!getTensorOrVectorElementType(resultType).isSignlessIntOrIndex())
return op->emitOpError() << "requires an integer or index type";
return success();
}
static LogicalResult verifyValueSizeAttr(Operation *op, StringRef attrName,
bool isOperand) {
auto sizeAttr = op->getAttrOfType<DenseIntElementsAttr>(attrName);
if (!sizeAttr)
return op->emitOpError("requires 1D vector attribute '") << attrName << "'";
auto sizeAttrType = sizeAttr.getType().dyn_cast<VectorType>();
if (!sizeAttrType || sizeAttrType.getRank() != 1)
return op->emitOpError("requires 1D vector attribute '") << attrName << "'";
if (llvm::any_of(sizeAttr.getIntValues(), [](const APInt &element) {
return !element.isNonNegative();
}))
return op->emitOpError("'")
<< attrName << "' attribute cannot have negative elements";
size_t totalCount = std::accumulate(
sizeAttr.begin(), sizeAttr.end(), 0,
[](unsigned all, APInt one) { return all + one.getZExtValue(); });
if (isOperand && totalCount != op->getNumOperands())
return op->emitOpError("operand count (")
<< op->getNumOperands() << ") does not match with the total size ("
<< totalCount << ") specified in attribute '" << attrName << "'";
else if (!isOperand && totalCount != op->getNumResults())
return op->emitOpError("result count (")
<< op->getNumResults() << ") does not match with the total size ("
<< totalCount << ") specified in attribute '" << attrName << "'";
return success();
}
LogicalResult OpTrait::impl::verifyOperandSizeAttr(Operation *op,
StringRef attrName) {
return verifyValueSizeAttr(op, attrName, /*isOperand=*/true);
}
LogicalResult OpTrait::impl::verifyResultSizeAttr(Operation *op,
StringRef attrName) {
return verifyValueSizeAttr(op, attrName, /*isOperand=*/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());
}
ParseResult impl::parseOneResultSameOperandTypeOp(OpAsmParser &parser,
OperationState &result) {
SmallVector<OpAsmParser::OperandType, 2> ops;
Type type;
return failure(parser.parseOperandList(ops) ||
parser.parseOptionalAttrDict(result.attributes) ||
parser.parseColonType(type) ||
parser.resolveOperands(ops, type, result.operands) ||
parser.addTypeToList(type, result.types));
}
void impl::printOneResultOp(Operation *op, OpAsmPrinter &p) {
assert(op->getNumResults() == 1 && "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 (llvm::any_of(op->getOperandTypes(),
[&](Type type) { return type != resultType; })) {
p.printGenericOp(op);
return;
}
p << op->getName() << ' ';
p.printOperands(op->getOperands());
p.printOptionalAttrDict(op->getAttrs());
// Now we can output only one type for all operands and the result.
p << " : " << resultType;
}
//===----------------------------------------------------------------------===//
// CastOp implementation
//===----------------------------------------------------------------------===//
void impl::buildCastOp(Builder *builder, OperationState &result, Value source,
Type destType) {
result.addOperands(source);
result.addTypes(destType);
}
ParseResult impl::parseCastOp(OpAsmParser &parser, OperationState &result) {
OpAsmParser::OperandType srcInfo;
Type srcType, dstType;
return failure(parser.parseOperand(srcInfo) ||
parser.parseOptionalAttrDict(result.attributes) ||
parser.parseColonType(srcType) ||
parser.resolveOperand(srcInfo, srcType, result.operands) ||
parser.parseKeywordType("to", dstType) ||
parser.addTypeToList(dstType, result.types));
}
void impl::printCastOp(Operation *op, OpAsmPrinter &p) {
p << op->getName() << ' ' << op->getOperand(0);
p.printOptionalAttrDict(op->getAttrs());
p << " : " << op->getOperand(0).getType() << " to "
<< op->getResult(0).getType();
}
Value impl::foldCastOp(Operation *op) {
// Identity cast
if (op->getOperand(0).getType() == op->getResult(0).getType())
return op->getOperand(0);
return nullptr;
}
//===----------------------------------------------------------------------===//
// Misc. utils
//===----------------------------------------------------------------------===//
/// Insert an operation, generated by `buildTerminatorOp`, at the end of the
/// region's only block if it does not have a terminator already. If the region
/// is empty, insert a new block first. `buildTerminatorOp` should return the
/// terminator operation to insert.
void impl::ensureRegionTerminator(
Region &region, Location loc,
function_ref<Operation *()> buildTerminatorOp) {
if (region.empty())
region.push_back(new Block);
Block &block = region.back();
if (!block.empty() && block.back().isKnownTerminator())
return;
block.push_back(buildTerminatorOp());
}
//===----------------------------------------------------------------------===//
// UseIterator
//===----------------------------------------------------------------------===//
Operation::UseIterator::UseIterator(Operation *op, bool end)
: op(op), res(end ? op->result_end() : op->result_begin()) {
// Only initialize current use if there are results/can be uses.
if (op->getNumResults())
skipOverResultsWithNoUsers();
}
Operation::UseIterator &Operation::UseIterator::operator++() {
// We increment over uses, if we reach the last use then move to next
// result.
if (use != (*res).use_end())
++use;
if (use == (*res).use_end()) {
++res;
skipOverResultsWithNoUsers();
}
return *this;
}
void Operation::UseIterator::skipOverResultsWithNoUsers() {
while (res != op->result_end() && (*res).use_empty())
++res;
// If we are at the last result, then set use to first use of
// first result (sentinel value used for end).
if (res == op->result_end())
use = {};
else
use = (*res).use_begin();
}