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/*
* Copyright (c) 2017-2018 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef __ARM_COMPUTE_TEST_TENSOR_CACHE_H__
#define __ARM_COMPUTE_TEST_TENSOR_CACHE_H__
#include "RawTensor.h"
#include "support/Mutex.h"
#include <map>
#include <mutex>
#include <utility>
namespace arm_compute
{
namespace test
{
/** Stores @ref RawTensor categorised by the image they are created from
* including name, format and channel.
*/
class TensorCache
{
public:
/** Search the cache for a tensor of created from the specified image and
* format.
*
* @param[in] key Key to look up the tensor. Consists of image name and format.
*
* @return The cached tensor matching the image name and format if found. A
* nullptr otherwise.
*/
RawTensor *find(std::tuple<const std::string &, Format> key);
/** Search the cache for a tensor of created from the specified image,
* format and channel.
*
* @param[in] key Key to look up the tensor. Consists of image name, format and channel.
*
* @return The cached tensor matching the image name and format if found. A
* nullptr otherwise.
*/
RawTensor *find(std::tuple<const std::string &, Format, Channel> key);
/** Add the given tensor to the cache. Can later be found under the given
* image name and format.
*
* @param[in] key Key under which to store the tensor. Consists of image name and format.
* @param[in] raw Raw tensor to be stored.
*
* @return A reference to the cached tensor.
*/
RawTensor &add(std::tuple<const std::string &, Format> key, RawTensor raw);
/** Add the given tensor to the cache. Can later be found under the given
* image name, format and channel.
*
* @param[in] key Key under which to store the tensor. Consists of image name, format and channel.
* @param[in] raw Raw tensor to be stored.
*
* @return A reference to the cached tensor.
*/
RawTensor &add(std::tuple<const std::string &, Format, Channel> key, RawTensor raw);
private:
using FormatMap = std::map<std::tuple<std::string, Format>, RawTensor>;
using ChannelMap = std::map<std::tuple<std::string, Format, Channel>, RawTensor>;
FormatMap _raw_tensor_cache{};
ChannelMap _raw_tensor_channel_cache{};
arm_compute::Mutex _raw_tensor_cache_mutex{};
arm_compute::Mutex _raw_tensor_channel_cache_mutex{};
};
inline RawTensor *TensorCache::find(std::tuple<const std::string &, Format> key)
{
const auto it = _raw_tensor_cache.find(key);
return it == _raw_tensor_cache.end() ? nullptr : &it->second;
}
inline RawTensor *TensorCache::find(std::tuple<const std::string &, Format, Channel> key)
{
const auto it = _raw_tensor_channel_cache.find(key);
return it == _raw_tensor_channel_cache.end() ? nullptr : &it->second;
}
inline RawTensor &TensorCache::add(std::tuple<const std::string &, Format> key, RawTensor raw)
{
std::lock_guard<arm_compute::Mutex> lock(_raw_tensor_cache_mutex);
return std::get<0>(_raw_tensor_cache.emplace(std::move(key), std::move(raw)))->second;
}
inline RawTensor &TensorCache::add(std::tuple<const std::string &, Format, Channel> key, RawTensor raw)
{
std::lock_guard<arm_compute::Mutex> lock(_raw_tensor_channel_cache_mutex);
return std::get<0>(_raw_tensor_channel_cache.emplace(std::move(key), std::move(raw)))->second;
}
} // namespace test
} // namespace arm_compute
#endif /* __ARM_COMPUTE_TEST_TENSOR_CACHE_H__ */
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