mirror of https://github.com/llvm/torch-mlir
46 lines
1.3 KiB
C++
46 lines
1.3 KiB
C++
//===- NumpyDialect.cpp - Core numpy dialect --------------------*- C++ -*-===//
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//
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// This file is licensed 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/Numpy/NumpyDialect.h"
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#include "mlir/IR/DialectImplementation.h"
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#include "npcomp/Dialect/Numpy/NumpyOps.h"
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using namespace mlir;
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using namespace mlir::NPCOMP::Numpy;
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NumpyDialect::NumpyDialect(MLIRContext *context)
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: Dialect(getDialectNamespace(), context) {
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addOperations<
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#define GET_OP_LIST
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#include "npcomp/Dialect/Numpy/NumpyOps.cpp.inc"
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>();
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addTypes<AnyDtypeType>();
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}
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Type NumpyDialect::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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if (keyword == "any_dtype")
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return AnyDtypeType::get(getContext());
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parser.emitError(parser.getNameLoc(), "unknown numpy type: ") << keyword;
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return Type();
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}
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void NumpyDialect::printType(Type type, DialectAsmPrinter &os) const {
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switch (type.getKind()) {
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case NumpyTypes::AnyDtypeType:
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os << "any_dtype";
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return;
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default:
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llvm_unreachable("unexpected 'numpy' type kind");
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}
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}
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