mirror of https://github.com/llvm/torch-mlir
128 lines
5.0 KiB
C++
128 lines
5.0 KiB
C++
//===----------------------------------------------------------------------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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// Also available under a BSD-style license. See LICENSE.
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//
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//===----------------------------------------------------------------------===//
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#include "torch-mlir/Dialect/Torch/IR/TorchDialect.h"
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#include "mlir/IR/BuiltinOps.h"
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#include "mlir/IR/DialectImplementation.h"
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#include "mlir/Transforms/InliningUtils.h"
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#include "torch-mlir/Dialect/Torch/IR/TorchOps.h"
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#include "torch-mlir/Dialect/Torch/IR/TorchTypes.h"
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#include "llvm/ADT/StringExtras.h"
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#include "llvm/ADT/TypeSwitch.h"
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using namespace mlir;
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using namespace mlir::torch;
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using namespace mlir::torch::Torch;
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#include "torch-mlir/Dialect/Torch/IR/TorchDialect.cpp.inc"
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//===----------------------------------------------------------------------===//
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// Dialect Interfaces
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//===----------------------------------------------------------------------===//
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namespace {
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struct TorchInlinerInterface : public DialectInlinerInterface {
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using DialectInlinerInterface::DialectInlinerInterface;
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bool isLegalToInline(Region *dest, Region *src, bool wouldBeCloned,
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BlockAndValueMapping &valueMapping) const final {
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return true;
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}
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bool isLegalToInline(Operation *, Region *, bool wouldBeCloned,
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BlockAndValueMapping &) const final {
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return true;
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}
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};
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} // end anonymous namespace
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//===----------------------------------------------------------------------===//
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// Tablegen Type Definitions
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//===----------------------------------------------------------------------===//
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#define GET_TYPEDEF_CLASSES
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#include "torch-mlir/Dialect/Torch/IR/TorchTypes.cpp.inc"
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//===----------------------------------------------------------------------===//
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// Dialect initialize method.
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//===----------------------------------------------------------------------===//
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void TorchDialect::initialize() {
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addOperations<
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#define GET_OP_LIST
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#include "torch-mlir/Dialect/Torch/IR/TorchOps.cpp.inc"
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>();
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addTypes<
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#define GET_TYPEDEF_LIST
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#include "torch-mlir/Dialect/Torch/IR/TorchTypes.cpp.inc"
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>();
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addInterfaces<TorchInlinerInterface>();
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}
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//===----------------------------------------------------------------------===//
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// Dialect-level verifiers.
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//===----------------------------------------------------------------------===//
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LogicalResult TorchDialect::verifyRegionArgAttribute(Operation *op,
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unsigned regionIndex,
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unsigned argIndex,
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NamedAttribute namedAttr) {
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if (namedAttr.getName().getValue() == "torch.type_bound") {
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auto func = dyn_cast<FuncOp>(op);
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if (!func)
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return op->emitError() << "'torch.type_bound' must be attached to a func";
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TypeAttr attr = namedAttr.getValue().dyn_cast<TypeAttr>();
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if (!attr)
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return op->emitError() << "'torch.type_bound' must be TypeAttr";
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auto type = attr.getValue().dyn_cast<BaseTensorType>();
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if (!type)
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return op->emitError() << "'torch.type_bound' must be of "
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"!torch.tensor/!torch.vtensor type";
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if (!func.getType().getInput(argIndex).isa<BaseTensorType>())
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return op->emitError() << "'torch.type_bound' must be attached to an "
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"argument of !torch.tensor/!torch.vtensor type";
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return success();
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}
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return op->emitError() << "unknown region arg attribute '"
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<< namedAttr.getName().getValue() << "'";
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}
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//===----------------------------------------------------------------------===//
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// Constant materializer.
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//===----------------------------------------------------------------------===//
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Operation *TorchDialect::materializeConstant(OpBuilder &builder,
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Attribute value, Type type,
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Location loc) {
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if (auto integerType = type.dyn_cast<Torch::IntType>())
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return builder.create<Torch::ConstantIntOp>(loc, value.cast<IntegerAttr>());
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if (auto floatType = type.dyn_cast<Torch::FloatType>())
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return builder.create<Torch::ConstantFloatOp>(loc, value.cast<FloatAttr>());
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if (type.isa<Torch::BoolType>()) {
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return builder.create<Torch::ConstantBoolOp>(loc,
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value.cast<IntegerAttr>());
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}
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if (type.isa<Torch::NoneType>())
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return builder.create<ConstantNoneOp>(loc);
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if (auto stringAttr = value.dyn_cast<StringAttr>())
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return builder.create<ConstantStrOp>(loc, stringAttr);
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if (auto elementsAttr = value.dyn_cast<ElementsAttr>()) {
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// Only !torch.vtensor can be constant folded. !torch.tensor has
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// non-trivial aliasing semantics which prevent deduplicating it.
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assert(type.isa<ValueTensorType>() && "should be a vtensor type!");
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return builder.create<ValueTensorLiteralOp>(loc, elementsAttr);
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}
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return nullptr;
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}
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