aeeafe8f66
- Also add layout attributes for inputs and output for error checking. PiperOrigin-RevId: 355863625 Change-Id: I8b37440b7a3253709780833b3716ebdc73c7084a
55 lines
2.3 KiB
C++
55 lines
2.3 KiB
C++
/* Copyright 2019 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#ifndef TENSORFLOW_COMPILER_MLIR_XLA_ATTRIBUTE_IMPORTER_H_
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#define TENSORFLOW_COMPILER_MLIR_XLA_ATTRIBUTE_IMPORTER_H_
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#include "mlir/IR/Attributes.h" // from @llvm-project
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#include "mlir/IR/Builders.h" // from @llvm-project
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#include "tensorflow/compiler/mlir/hlo/include/mlir-hlo/Dialect/mhlo/IR/hlo_ops.h"
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#include "tensorflow/compiler/xla/statusor.h"
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#include "tensorflow/compiler/xla/xla_data.pb.h"
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#include "tensorflow/core/platform/types.h"
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namespace xla {
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// Converts an XLA PrecisionConfig to the corresponding MLIR attribute.
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mlir::ArrayAttr ConvertPrecisionConfig(const PrecisionConfig* config,
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mlir::Builder* builder);
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// Converts the gather dimensions to attributes.
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mlir::mhlo::GatherDimensionNumbers ConvertGatherDimensionNumbers(
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const xla::GatherDimensionNumbers& dnums, mlir::Builder* builder);
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// Converts the scatter dimensions to attributes.
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mlir::mhlo::ScatterDimensionNumbers ConvertScatterDimensionNumbers(
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const xla::ScatterDimensionNumbers& dnums, mlir::Builder* builder);
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// Converts the dot dimensions to attributes.
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mlir::mhlo::DotDimensionNumbers ConvertDotDimensionNumbers(
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const DotDimensionNumbers& dnums, mlir::Builder* builder);
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// Converts the conv dimensions to attributes.
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mlir::mhlo::ConvDimensionNumbers ConvertConvDimensionNumbers(
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const xla::ConvolutionDimensionNumbers& dnums, mlir::Builder* builder);
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StatusOr<mlir::mhlo::FftType> ConvertFftType(FftType type);
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StatusOr<mlir::mhlo::Transpose> ConvertTranspose(
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TriangularSolveOptions_Transpose transpose);
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} // namespace xla
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#endif // TENSORFLOW_COMPILER_MLIR_XLA_ATTRIBUTE_IMPORTER_H_
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