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/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
/**
* @file FeatureLoggingLayer.h
* @brief This file contains FeatureLoggingLayer class
* @ingroup COM_AI_RUNTIME
*/
#ifndef __FEATURE_LOGGING_LAYER_H__
#define __FEATURE_LOGGING_LAYER_H__
#include <arm_compute/core/ITensor.h>
#include <arm_compute/runtime/IFunction.h>
#include <arm_compute/runtime/CL/CLScheduler.h>
#include <iostream>
#include <iomanip>
#include <limits>
#include "internal/arm_compute.h"
/**
* @brief Class to run FeatureLogging Layer
*/
class FeatureLoggingLayer : public ::arm_compute::IFunction
{
public:
FeatureLoggingLayer(void) : _tag(""), _target(nullptr)
{
// DO NOTHING
}
public:
/**
* @brief Configure the layer
* @param[in] tag Text tag for this layer
* @param[in] target The feature tensor to be printed
* @return N/A
*/
void configure(const std::string &tag, ::arm_compute::ITensor *target)
{
_tag = tag;
_target = target;
}
public:
/**
* @brief Run the operation. Must be called after configure().
* @return N/A
*/
void run(void) override
{
if (::internal::arm_compute::isGpuMode())
{
auto &q = ::arm_compute::CLScheduler::get().queue();
CAST_CL(_target)->map(q);
}
const size_t W = _target->info()->dimension(0);
const size_t H = _target->info()->dimension(1);
const size_t C = _target->info()->dimension(2);
std::cout << _tag << std::endl;
for (size_t ch = 0; ch < C; ++ch)
{
std::cout << "Channel #" << ch << std::endl;
for (size_t row = 0; row < H; ++row)
{
for (size_t col = 0; col < W; ++col)
{
const arm_compute::Coordinates id{col, row, ch};
const auto value = *reinterpret_cast<float *>(_target->ptr_to_element(id));
// TODO Generalize this to integer types
std::cout << std::setprecision(2);
std::cout << std::setw(7);
std::cout << std::setfill(' ');
std::cout << std::fixed;
std::cout << value << " ";
}
std::cout << std::endl;
}
std::cout << std::endl;
}
if (::internal::arm_compute::isGpuMode())
{
auto &q = ::arm_compute::CLScheduler::get().queue();
CAST_CL(_target)->unmap(q);
}
}
private:
std::string _tag;
::arm_compute::ITensor *_target;
};
#endif // __FEATURE_LOGGING_LAYER_H__
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