b33476906d
This is unused and confusing. The dot canonicalization is still there, which is now the one and only purpose of DotDecomposer. PiperOrigin-RevId: 241509598
39 lines
1.5 KiB
C++
39 lines
1.5 KiB
C++
/* Copyright 2017 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_XLA_SERVICE_DOT_DECOMPOSER_H_
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#define TENSORFLOW_COMPILER_XLA_SERVICE_DOT_DECOMPOSER_H_
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#include "tensorflow/compiler/xla/service/hlo_module.h"
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#include "tensorflow/compiler/xla/service/hlo_pass_interface.h"
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namespace xla {
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// DotDecomposer is a pass which converts dots into a canonical form where
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// non-contracting and contracting dimensions are reshaped together and batch
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// dimensions are the most major dimensions.
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class DotDecomposer : public HloModulePass {
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public:
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absl::string_view name() const override { return "dot_decomposer"; }
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// Run DotDecomposer pass on computations in 'module'.
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// Returns whether the 'module' was changed.
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StatusOr<bool> Run(HloModule* module) override;
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};
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} // namespace xla
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#endif // TENSORFLOW_COMPILER_XLA_SERVICE_DOT_DECOMPOSER_H_
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