torch-mlir/lib/Dialect/Torch/IR/TorchDialect.cpp

278 lines
10 KiB
C++

//===----------------------------------------------------------------------===//
//
// 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
// Also available under a BSD-style license. See LICENSE.
//
//===----------------------------------------------------------------------===//
#include "torch-mlir/Dialect/Torch/IR/TorchDialect.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"
#include "mlir/IR/BuiltinOps.h"
#include "mlir/IR/DialectImplementation.h"
#include "mlir/Transforms/InliningUtils.h"
#include "torch-mlir/Dialect/Torch/IR/TorchOps.h"
#include "torch-mlir/Dialect/Torch/IR/TorchTypes.h"
#include "llvm/ADT/StringExtras.h"
#include "llvm/ADT/TypeSwitch.h"
using namespace mlir;
using namespace mlir::torch;
using namespace mlir::torch::Torch;
#include "torch-mlir/Dialect/Torch/IR/TorchDialect.cpp.inc"
//===----------------------------------------------------------------------===//
// Dialect Interfaces
//===----------------------------------------------------------------------===//
namespace {
struct TorchInlinerInterface : public DialectInlinerInterface {
using DialectInlinerInterface::DialectInlinerInterface;
bool isLegalToInline(Region *dest, Region *src, bool wouldBeCloned,
BlockAndValueMapping &valueMapping) const final {
return true;
}
bool isLegalToInline(Operation *, Region *, bool wouldBeCloned,
BlockAndValueMapping &) const final {
return true;
}
};
} // end anonymous namespace
//===----------------------------------------------------------------------===//
// Tablegen Type Definitions
//===----------------------------------------------------------------------===//
#define GET_TYPEDEF_CLASSES
#include "torch-mlir/Dialect/Torch/IR/TorchTypes.cpp.inc"
//===----------------------------------------------------------------------===//
// Top-level parsing/printing of types for TorchDialect.
//===----------------------------------------------------------------------===//
//
// Unfortunately, TorchDialect::parseType/printType are non-static member
// functions, even though they don't depend on any instance state of the
// dialect. This is problematic, for example, when wanting to call these
// functions directly from type printers/parsers.
//
// So define some helpers that are free functions.
/// Parse a type registered to this dialect.
Type Torch::parseTorchDialectType(AsmParser &parser) {
SMLoc typeLoc = parser.getCurrentLocation();
StringRef mnemonic;
if (parser.parseOptionalKeyword(&mnemonic)) {
parser.emitError(parser.getCurrentLocation())
.append("expected type mnemonic")
.attachNote()
.append("for types like `!torch.list<int>`, you must omit the "
"`!torch.` prefix for the nested types");
return Type();
}
Type genType;
auto parseResult = generatedTypeParser(parser, mnemonic, genType);
if (parseResult.hasValue())
return genType;
parser.emitError(typeLoc) << "unknown type `" << mnemonic << "` in dialect `"
<< TorchDialect::getDialectNamespace() << "`";
return {};
}
/// Print a type registered to this dialect.
void Torch::printTorchDialectType(Type type, AsmPrinter &printer) {
if (succeeded(generatedTypePrinter(type, printer)))
return;
}
//===----------------------------------------------------------------------===//
// Torch dialect parseType/printType methods.
//===----------------------------------------------------------------------===//
/// Parse a type registered to this dialect.
Type TorchDialect::parseType(DialectAsmParser &parser) const {
return parseTorchDialectType(parser);
}
/// Print a type registered to this dialect.
void TorchDialect::printType(Type type, DialectAsmPrinter &printer) const {
printTorchDialectType(type, printer);
}
//===----------------------------------------------------------------------===//
// Dialect initialize method.
//===----------------------------------------------------------------------===//
void TorchDialect::initialize() {
addOperations<
#define GET_OP_LIST
#include "torch-mlir/Dialect/Torch/IR/TorchOps.cpp.inc"
>();
addTypes<
#define GET_TYPEDEF_LIST
#include "torch-mlir/Dialect/Torch/IR/TorchTypes.cpp.inc"
>();
addInterfaces<TorchInlinerInterface>();
}
//===----------------------------------------------------------------------===//
// Dialect-level verifiers.
//===----------------------------------------------------------------------===//
LogicalResult TorchDialect::verifyRegionArgAttribute(Operation *op,
unsigned regionIndex,
unsigned argIndex,
NamedAttribute namedAttr) {
if (namedAttr.getName().getValue() == "torch.type_bound") {
auto func = dyn_cast<func::FuncOp>(op);
if (!func)
return op->emitError() << "'torch.type_bound' must be attached to a func";
TypeAttr attr = namedAttr.getValue().dyn_cast<TypeAttr>();
if (!attr)
return op->emitError() << "'torch.type_bound' must be TypeAttr";
auto type = attr.getValue().dyn_cast<BaseTensorType>();
if (!type)
return op->emitError() << "'torch.type_bound' must be of "
"!torch.tensor/!torch.vtensor type";
if (!func.getFunctionType().getInput(argIndex).isa<BaseTensorType>())
return op->emitError() << "'torch.type_bound' must be attached to an "
"argument of !torch.tensor/!torch.vtensor type";
return success();
}
return op->emitError() << "unknown region arg attribute '"
<< namedAttr.getName().getValue() << "'";
}
//===----------------------------------------------------------------------===//
// Constant materializer.
//===----------------------------------------------------------------------===//
Operation *TorchDialect::materializeConstant(OpBuilder &builder,
Attribute value, Type type,
Location loc) {
if (auto integerType = type.dyn_cast<Torch::IntType>())
return builder.create<Torch::ConstantIntOp>(loc, value.cast<IntegerAttr>());
if (auto floatType = type.dyn_cast<Torch::FloatType>())
return builder.create<Torch::ConstantFloatOp>(loc, value.cast<FloatAttr>());
if (type.isa<Torch::BoolType>()) {
return builder.create<Torch::ConstantBoolOp>(loc,
value.cast<IntegerAttr>());
}
if (type.isa<Torch::NoneType>())
return builder.create<ConstantNoneOp>(loc);
if (auto stringAttr = value.dyn_cast<StringAttr>())
return builder.create<ConstantStrOp>(loc, stringAttr);
if (auto elementsAttr = value.dyn_cast<ElementsAttr>()) {
// Only !torch.vtensor can be constant folded. !torch.tensor has
// non-trivial aliasing semantics which prevent deduplicating it.
assert(type.isa<ValueTensorType>() && "should be a vtensor type!");
return builder.create<ValueTensorLiteralOp>(loc, elementsAttr);
}
return nullptr;
}
//===----------------------------------------------------------------------===//
// OptionalType and ListType
//===----------------------------------------------------------------------===//
void OptionalType::print(AsmPrinter &printer) const {
printer << "<";
// Print the contained type without the `!torch.` prefix.
printTorchDialectType(getImpl()->containedType, printer);
printer << ">";
}
void ListType::print(AsmPrinter &printer) const {
printer << "<";
// Print the contained type without the `!torch.` prefix.
printTorchDialectType(getImpl()->containedType, printer);
printer << ">";
}
Type OptionalType::parse(AsmParser &odsParser) {
if (odsParser.parseLess())
return Type();
// Parse the contained type, but forward directly to our internal parsing
// of `torch` dialect types, so that we can parse nested types without
// the `!torch.` prefix.
Type containedType = parseTorchDialectType(odsParser);
if (!containedType)
return Type();
if (odsParser.parseGreater())
return Type();
return get(odsParser.getContext(), containedType);
}
Type ListType::parse(AsmParser &odsParser) {
if (odsParser.parseLess())
return Type();
// Parse the contained type, but forward directly to our internal parsing
// of `torch` dialect types, so that we can parse nested types without
// the `!torch.` prefix.
Type containedType = parseTorchDialectType(odsParser);
if (!containedType)
return Type();
if (odsParser.parseGreater())
return Type();
return get(odsParser.getContext(), containedType);
}
//===----------------------------------------------------------------------===//
// DictType
//===----------------------------------------------------------------------===//
void DictType::print(AsmPrinter &printer) const {
printer << "<";
printTorchDialectType(getImpl()->keyType, printer);
printer << ", ";
printTorchDialectType(getImpl()->valueType, printer);
printer << ">";
}
Type DictType::parse(AsmParser &odsParser) {
if (odsParser.parseLess())
return Type();
Type keyType = parseTorchDialectType(odsParser);
if (!keyType)
return Type();
if (odsParser.parseComma())
return Type();
Type valueType = parseTorchDialectType(odsParser);
if (!valueType)
return Type();
if (odsParser.parseGreater())
return Type();
return get(odsParser.getContext(), keyType, valueType);
}
//===----------------------------------------------------------------------===//
// NnModuleType
//===----------------------------------------------------------------------===//
void NnModuleType::print(AsmPrinter &printer) const {
printer << "<\"";
llvm::printEscapedString(getImpl()->className, printer.getStream());
printer << "\">";
}
Type NnModuleType::parse(AsmParser &odsParser) {
if (odsParser.parseLess())
return Type();
std::string className;
if (odsParser.parseOptionalString(&className))
return Type();
if (odsParser.parseGreater())
return Type();
return get(odsParser.getContext(), className);
}