9a8fd0e99c
Benchmarks are neutral to positive. PiperOrigin-RevId: 321611928 Change-Id: I0c7c5535b49b97581c99b1fb77f4ccd7741e3d1c
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_CPU_CPU_OPTIONS_H_
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#define TENSORFLOW_COMPILER_XLA_SERVICE_CPU_CPU_OPTIONS_H_
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#include "tensorflow/compiler/xla/service/hlo_module_config.h"
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// Helper functions for querying options that are specific to the CPU backend.
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namespace xla {
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namespace cpu {
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namespace options {
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bool OptimizeForSizeRequested(const HloModuleConfig& config);
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bool VectorizedReduceDisabled(const HloModuleConfig& config);
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bool ForceEnableExperimentalLlvmIrGemm(const HloModuleConfig& config);
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absl::optional<int64> LlvmIrGemvTilingFactor(const HloModuleConfig& config);
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absl::optional<std::tuple<int64, int64, int64>> LlvmIrGemmTileSize(
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const HloModuleConfig& config);
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} // namespace options
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} // namespace cpu
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} // namespace xla
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#endif // TENSORFLOW_COMPILER_XLA_SERVICE_CPU_CPU_OPTIONS_H_
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