5ca8c1bcb9
It's annoying do deal with the fact that conditional can be either tuple or non-tuple. Canonicalize everything into tuple. PiperOrigin-RevId: 321823386 Change-Id: I8bfe798bd1b4af9c3ffd169fa6b497c8b2f92b4a
39 lines
1.4 KiB
C++
39 lines
1.4 KiB
C++
/* Copyright 2020 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_CONDITIONAL_CANONICALIZER_H_
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#define TENSORFLOW_COMPILER_XLA_SERVICE_CONDITIONAL_CANONICALIZER_H_
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#include <utility>
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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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// Canonicalize output of conditionals, make non-tuple outputs into tuple with
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// single element output. After this pass, all conditional instructions have
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// tuple outputs.
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class ConditionalCanonicalizer : public HloModulePass {
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public:
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absl::string_view name() const override {
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return "conditional canonicalizer";
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}
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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_CONDITIONAL_CANONICALIZER_H_
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