mirror of https://github.com/llvm/torch-mlir
278 lines
10 KiB
C++
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);
|
|
}
|