f8655c08cf
Derive HloModulePass and HloModuleGroupPass from HloPassInterface which run module-scoped and module-group-scoped respectively. Replace all existing uses of HloPassInterface with HloModulePass because all existing passes are module-scoped. Also rewrite HloPassPipeline to support both module-scoped and module-group-scoped passes. PiperOrigin-RevId: 213629604
40 lines
1.5 KiB
C++
40 lines
1.5 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_BATCH_DOT_SIMPLIFICATION_H_
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#define TENSORFLOW_COMPILER_XLA_SERVICE_BATCH_DOT_SIMPLIFICATION_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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// Simplifies batch dot operations.
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//
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// Normally these would live in the algebraic simplifier, but we want to run
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// this to fixpoint (this pass reaches fixed point in one execution) before we
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// run the DotDecomposer.
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class BatchDotSimplification : public HloModulePass {
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public:
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StatusOr<bool> Run(HloModule* module) override;
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absl::string_view name() const override;
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private:
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StatusOr<bool> ElideDegenerateBatchDimensionFromBatchDot(
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HloInstruction* batch_dot);
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};
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} // namespace xla
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#endif // TENSORFLOW_COMPILER_XLA_SERVICE_BATCH_DOT_SIMPLIFICATION_H_
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