46 lines
1.7 KiB
C++
46 lines
1.7 KiB
C++
/* Copyright 2018 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_OP_EXPANDER_PASS_H_
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#define TENSORFLOW_COMPILER_XLA_SERVICE_OP_EXPANDER_PASS_H_
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#include "tensorflow/compiler/xla/service/hlo_pass_interface.h"
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namespace xla {
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// This pass is an abstract superclass for passes that replace operations that
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// match a pattern. It is intended to be subclassed, not used directly.
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//
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// This pass is useful for legalizing HLO instructions that a particular backend
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// does not support into other HLO instructions.
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class OpExpanderPass : public HloModulePass {
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public:
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StatusOr<bool> Run(HloModule* module) override;
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protected:
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// Returns `true` if `instruction` should be expanded by this pass.
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virtual bool InstructionMatchesPattern(HloInstruction* instruction) = 0;
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// Returns a replacement for `instruction`, or nullptr if no replacement is
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// needed (e.g. only the to_apply subcomputation of the instruction was
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// modified).
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virtual StatusOr<HloInstruction*> ExpandInstruction(
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HloInstruction* instruction) = 0;
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};
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} // namespace xla
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#endif // TENSORFLOW_COMPILER_XLA_SERVICE_OP_EXPANDER_PASS_H_
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