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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.
- */
-
-/*
- * Copyright (c) 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.
- */
-#include "io_accessor.h"
-#include <ostream>
-#include <android/log.h>
-
-bool InputAccessor::access_tensor(arm_compute::ITensor &tensor)
-{
- // Subtract the mean value from each channel
- arm_compute::Window window;
- window.use_tensor_dimensions(tensor.info()->tensor_shape());
-
- execute_window_loop(window, [&](const arm_compute::Coordinates& id)
- {
- *reinterpret_cast<float *>(tensor.ptr_to_element(id)) = _test_input;
- _test_input += _inc ? 1.0 : 0.0;
-
- __android_log_print(ANDROID_LOG_DEBUG, "LOG_TAG", "Input %d, %d = %lf\r\n",
- id.y(), id.x(), *reinterpret_cast<float *>(tensor.ptr_to_element(id)));
- });
- return true;
-}
-
-bool OutputAccessor::access_tensor(arm_compute::ITensor &tensor)
-{
- // Subtract the mean value from each channel
- arm_compute::Window window;
- window.use_tensor_dimensions(tensor.info()->tensor_shape());
-
- execute_window_loop(window, [&](const arm_compute::Coordinates& id)
- {
- __android_log_print(ANDROID_LOG_DEBUG, "Output", "Input %d, %d = %lf\r\n",
- id.y(), id.x(), *reinterpret_cast<float *>(tensor.ptr_to_element(id)));
- });
- return false; // end the network
-}
-
-bool WeightAccessor::access_tensor(arm_compute::ITensor &tensor)
-{
- // Subtract the mean value from each channel
- arm_compute::Window window;
- window.use_tensor_dimensions(tensor.info()->tensor_shape());
-
- execute_window_loop(window, [&](const arm_compute::Coordinates& id)
- {
- *reinterpret_cast<float *>(tensor.ptr_to_element(id)) = _test_weight;
- _test_weight += _inc ? 1.0 : 0.0;
- });
- return true;
-}
-
-bool BiasAccessor::access_tensor(arm_compute::ITensor &tensor)
-{
- // Subtract the mean value from each channel
- arm_compute::Window window;
- window.use_tensor_dimensions(tensor.info()->tensor_shape());
-
- execute_window_loop(window, [&](const arm_compute::Coordinates& id)
- {
- *reinterpret_cast<float *>(tensor.ptr_to_element(id)) = 0.0;
- });
- return true;
-}