mirror of https://github.com/llvm/torch-mlir
145 lines
5.7 KiB
C++
145 lines
5.7 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
|
|
//
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
#include "npcomp/Dialect/Torch/IR/TorchDialect.h"
|
|
#include "mlir/Dialect/StandardOps/IR/Ops.h"
|
|
#include "mlir/IR/BuiltinOps.h"
|
|
#include "mlir/IR/DialectImplementation.h"
|
|
#include "mlir/Transforms/InliningUtils.h"
|
|
#include "npcomp/Dialect/Basicpy/IR/BasicpyDialect.h"
|
|
#include "npcomp/Dialect/Basicpy/IR/BasicpyOps.h"
|
|
#include "npcomp/Dialect/Torch/IR/TorchOps.h"
|
|
#include "npcomp/Dialect/Torch/IR/TorchTypes.h"
|
|
#include "llvm/ADT/StringExtras.h"
|
|
#include "llvm/ADT/TypeSwitch.h"
|
|
|
|
using namespace mlir;
|
|
using namespace mlir::NPCOMP;
|
|
using namespace mlir::NPCOMP::Torch;
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// 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 "npcomp/Dialect/Torch/IR/TorchTypes.cpp.inc"
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// Dialect initialize method.
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
void TorchDialect::initialize() {
|
|
addOperations<
|
|
#define GET_OP_LIST
|
|
#include "npcomp/Dialect/Torch/IR/TorchOps.cpp.inc"
|
|
>();
|
|
addTypes<
|
|
#define GET_TYPEDEF_LIST
|
|
#include "npcomp/Dialect/Torch/IR/TorchTypes.cpp.inc"
|
|
>();
|
|
addInterfaces<TorchInlinerInterface>();
|
|
getContext()->loadDialect<StandardOpsDialect>();
|
|
getContext()->loadDialect<Basicpy::BasicpyDialect>();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// Type-related Dialect methods.
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
Type TorchDialect::parseType(DialectAsmParser &parser) const {
|
|
StringRef keyword;
|
|
if (parser.parseKeyword(&keyword))
|
|
return Type();
|
|
Type type;
|
|
if (generatedTypeParser(getContext(), parser, keyword, type).hasValue())
|
|
return type;
|
|
|
|
parser.emitError(parser.getNameLoc(), "invalid 'torch' type: `")
|
|
<< keyword << "'";
|
|
return Type();
|
|
}
|
|
|
|
void TorchDialect::printType(Type type, DialectAsmPrinter &printer) const {
|
|
if (failed(generatedTypePrinter(type, printer)))
|
|
llvm_unreachable("unknown 'torch' type");
|
|
}
|
|
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// Dialect-level verifiers.
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
LogicalResult TorchDialect::verifyRegionArgAttribute(Operation *op,
|
|
unsigned regionIndex,
|
|
unsigned argIndex,
|
|
NamedAttribute namedAttr) {
|
|
if (namedAttr.first == "torch.type_bound") {
|
|
auto func = dyn_cast<FuncOp>(op);
|
|
if (!func)
|
|
return op->emitError() << "'torch.type_bound' must be attached to a func";
|
|
TypeAttr attr = namedAttr.second.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.getType().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.first
|
|
<< "'";
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// Constant materializer.
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
Operation *TorchDialect::materializeConstant(OpBuilder &builder,
|
|
Attribute value, Type type,
|
|
Location loc) {
|
|
// Bool (i1 -> !basicpy.BoolType).
|
|
if (type.isa<Basicpy::BoolType>()) {
|
|
auto i1Value = value.dyn_cast<IntegerAttr>();
|
|
if (i1Value && i1Value.getType().getIntOrFloatBitWidth() == 1)
|
|
return builder.create<Basicpy::BoolConstantOp>(loc, type, i1Value);
|
|
}
|
|
// i64 is how we model TorchScript's "scalar integer type" (we could have a
|
|
// proper !torch.int type in theory). None of our canonicalizers should be
|
|
// creating any other integer type (except perhaps i1 after we resolve that
|
|
// situation). All other integer types live inside tensors (that is, they are
|
|
// never the direct result of an operation, and are thus never candidates for
|
|
// constant materialization).
|
|
if (auto integerType = type.dyn_cast<IntegerType>()) {
|
|
if (integerType.getWidth() == 64)
|
|
return builder.create<ConstantOp>(loc, value);
|
|
}
|
|
return nullptr;
|
|
}
|