121 lines
4.5 KiB
C++
121 lines
4.5 KiB
C++
/*
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* Copyright (c) 2017-2019 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_TEST_TENSOR_CACHE_H
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#define ARM_COMPUTE_TEST_TENSOR_CACHE_H
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#include "RawTensor.h"
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#include "support/Mutex.h"
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#include <map>
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#include <mutex>
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#include <utility>
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namespace arm_compute
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{
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namespace test
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{
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/** Stores @ref RawTensor categorised by the image they are created from
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* including name, format and channel.
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*/
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class TensorCache
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{
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public:
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/** Search the cache for a tensor of created from the specified image and
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* format.
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*
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* @param[in] key Key to look up the tensor. Consists of image name and format.
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*
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* @return The cached tensor matching the image name and format if found. A
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* nullptr otherwise.
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*/
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RawTensor *find(std::tuple<const std::string &, Format> key);
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/** Search the cache for a tensor of created from the specified image,
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* format and channel.
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*
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* @param[in] key Key to look up the tensor. Consists of image name, format and channel.
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*
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* @return The cached tensor matching the image name and format if found. A
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* nullptr otherwise.
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*/
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RawTensor *find(std::tuple<const std::string &, Format, Channel> key);
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/** Add the given tensor to the cache. Can later be found under the given
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* image name and format.
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*
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* @param[in] key Key under which to store the tensor. Consists of image name and format.
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* @param[in] raw Raw tensor to be stored.
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*
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* @return A reference to the cached tensor.
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*/
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RawTensor &add(std::tuple<const std::string &, Format> key, RawTensor raw);
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/** Add the given tensor to the cache. Can later be found under the given
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* image name, format and channel.
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*
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* @param[in] key Key under which to store the tensor. Consists of image name, format and channel.
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* @param[in] raw Raw tensor to be stored.
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*
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* @return A reference to the cached tensor.
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*/
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RawTensor &add(std::tuple<const std::string &, Format, Channel> key, RawTensor raw);
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private:
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using FormatMap = std::map<std::tuple<std::string, Format>, RawTensor>;
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using ChannelMap = std::map<std::tuple<std::string, Format, Channel>, RawTensor>;
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FormatMap _raw_tensor_cache{};
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ChannelMap _raw_tensor_channel_cache{};
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arm_compute::Mutex _raw_tensor_cache_mutex{};
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arm_compute::Mutex _raw_tensor_channel_cache_mutex{};
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};
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inline RawTensor *TensorCache::find(std::tuple<const std::string &, Format> key)
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{
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const auto it = _raw_tensor_cache.find(key);
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return it == _raw_tensor_cache.end() ? nullptr : &it->second;
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}
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inline RawTensor *TensorCache::find(std::tuple<const std::string &, Format, Channel> key)
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{
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const auto it = _raw_tensor_channel_cache.find(key);
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return it == _raw_tensor_channel_cache.end() ? nullptr : &it->second;
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}
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inline RawTensor &TensorCache::add(std::tuple<const std::string &, Format> key, RawTensor raw)
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{
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std::lock_guard<arm_compute::Mutex> lock(_raw_tensor_cache_mutex);
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return std::get<0>(_raw_tensor_cache.emplace(std::move(key), std::move(raw)))->second;
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}
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inline RawTensor &TensorCache::add(std::tuple<const std::string &, Format, Channel> key, RawTensor raw)
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{
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std::lock_guard<arm_compute::Mutex> lock(_raw_tensor_channel_cache_mutex);
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return std::get<0>(_raw_tensor_channel_cache.emplace(std::move(key), std::move(raw)))->second;
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}
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} // namespace test
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_TEST_TENSOR_CACHE_H */
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