This just delegates the hard work to std::partial_sort. PiperOrigin-RevId: 324979038 Change-Id: I16a7c4d840948f3744f4f920bac29d4e6d7333b3
33 lines
1.4 KiB
C
33 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_CPU_RUNTIME_TOPK_H
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#define TENSORFLOW_COMPILER_XLA_SERVICE_CPU_RUNTIME_TOPK_H
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#include "tensorflow/core/platform/types.h"
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extern "C" {
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// Calculates `batch_size` topk operations with `input_size` inputs each. The
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// outputs are written to `out_values` and `out_indices`.
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extern void __xla_cpu_runtime_TopKF32(tensorflow::int64 batch_size,
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tensorflow::int64 input_size,
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tensorflow::int64 k, const float* values,
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float* out_values,
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tensorflow::int32* out_indices);
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}
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#endif // TENSORFLOW_COMPILER_XLA_SERVICE_CPU_RUNTIME_TOPK_H
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