wehub-resource-sync
45 lines
1.9 KiB
C++
45 lines
1.9 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_LITE_TOCO_ALLOCATE_TRANSIENT_ARRAYS_H_
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#define TENSORFLOW_LITE_TOCO_ALLOCATE_TRANSIENT_ARRAYS_H_
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#include "tensorflow/lite/toco/model.h"
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namespace toco {
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// We align the allocated sizes to the next multiple of a cache line,
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// to get simple performance characteristics without side effects of
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// accesses to one buffer on accesses to another buffer.
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// That also takes care of data type alignment for any reasonable type
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// (no reasonable data type should have alignment greater than a cache line).
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// Here we make CPU-centric assumptions, in particular, we assume 64-byte cache
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// lines. Getting this wrong by a factor of 2x (if this ever changes) wouldn't
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// be terrible.
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// Embedded architectures may use a different value for alignment.
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constexpr std::size_t kDefaultTransientDataAlignment = 64;
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// Rounds up dividend to a value divisible by divisor.
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inline std::size_t RoundUpToNextMultipleOf(std::size_t dividend,
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std::size_t divisor) {
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return ((dividend + divisor - 1) / divisor) * divisor;
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}
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void AllocateTransientArrays(Model* model,
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std::size_t transient_data_alignment);
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} // namespace toco
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#endif // TENSORFLOW_LITE_TOCO_ALLOCATE_TRANSIENT_ARRAYS_H_
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