mirror of https://github.com/llvm/torch-mlir
103 lines
3.7 KiB
C++
103 lines
3.7 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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//
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//===----------------------------------------------------------------------===//
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#include "npcomp/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 "npcomp/Dialect/Numpy/IR/NumpyDialect.h"
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#include "npcomp/Dialect/Torch/IR/TorchOps.h"
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#include "npcomp/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::NPCOMP::Torch;
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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 "npcomp/Dialect/Torch/IR/TorchTypes.cpp.inc"
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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 "npcomp/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 "npcomp/Dialect/Torch/IR/TorchTypes.cpp.inc"
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>();
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addInterfaces<TorchInlinerInterface>();
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}
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Type TorchDialect::parseType(DialectAsmParser &parser) const {
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StringRef keyword;
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if (parser.parseKeyword(&keyword))
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return Type();
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Type type;
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if (generatedTypeParser(getContext(), parser, keyword, type).hasValue())
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return type;
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parser.emitError(parser.getNameLoc(), "invalid 'torch' type: `")
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<< keyword << "'";
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return Type();
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}
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void TorchDialect::printType(Type type, DialectAsmPrinter &printer) const {
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if (failed(generatedTypePrinter(type, printer)))
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llvm_unreachable("unknown 'torch' type");
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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.first == "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.second.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<Numpy::NdArrayType>();
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if (!type)
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return op->emitError()
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<< "'torch.type_bound' must be of !numpy.ndarray type";
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if (!func.getType().getInput(argIndex).isa<Numpy::NdArrayType>())
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return op->emitError() << "'torch.type_bound' must be attached to an "
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"argument of !numpy.ndarray type";
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return success();
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}
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return op->emitError() << "unknown region arg attribute '" << namedAttr.first
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<< "'";
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}
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#include "npcomp/Dialect/Torch/IR/OpInterfaces.h"
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