1 files changed, 0 insertions, 124 deletions
diff --git a/contrib/labs/kerneltesting/conv2d/io_accessor.cpp b/contrib/labs/kerneltesting/conv2d/io_accessor.cpp
deleted file mode 100644
index 6d3cd9d04..000000000
--- a/contrib/labs/kerneltesting/conv2d/io_accessor.cpp
+++ /dev/null
@@ -1,124 +0,0 @@
-/*
- * 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"
-
-InputAccessor::InputAccessor(const float* inputData, const Shape& inputShape)
-  : _inputData(inputData)
-  , _inputShape(inputShape)
-{
-}
-
-WeightAccessor::WeightAccessor(const float* filterData, const Shape& filterShape)
-  : _filterData(filterData)
-  , _filterShape(filterShape)
-{
-}
-
-BiasAccessor::BiasAccessor(const float* biasData, const Shape& biasShape)
-  : _biasData(biasData)
-  , _biasShape(biasShape)
-{
-}
-
-OutputAccessor::OutputAccessor(float* outputData, const Shape& outputShape)
-  : _outputData(outputData)
-  , _outputShape(outputShape)
-{
-}
-
-bool InputAccessor::access_tensor(arm_compute::ITensor &tensor)
-{
-  arm_compute::Window window;
-  window.use_tensor_dimensions(tensor.info()->tensor_shape());
-
-  execute_window_loop(window, [&](const arm_compute::Coordinates& id)
-  {
-    uint32_t width  = getSizeOfDimension(_inputShape, 2);
-    uint32_t offset = id.y() * width + id.x();
-    *reinterpret_cast<float *>(tensor.ptr_to_element(id)) =
-        *(_inputData + offset);
-  });
-  return true;
-}
-
-bool WeightAccessor::access_tensor(arm_compute::ITensor &tensor)
-{
-  arm_compute::Window window;
-  window.use_tensor_dimensions(tensor.info()->tensor_shape());
-
-  execute_window_loop(window, [&](const arm_compute::Coordinates& id)
-  {
-    uint32_t width  = getSizeOfDimension(_filterShape, 2);
-    uint32_t offset = id.y() * width + id.x();
-    *reinterpret_cast<float *>(tensor.ptr_to_element(id)) =
-        *(_filterData + offset);
-  });
-  return true;
-}
-
-bool BiasAccessor::access_tensor(arm_compute::ITensor &tensor)
-{
-  arm_compute::Window window;
-  window.use_tensor_dimensions(tensor.info()->tensor_shape());
-
-  execute_window_loop(window, [&](const arm_compute::Coordinates& id)
-  {
-    uint32_t width  = getSizeOfDimension(_biasShape, 2);
-    uint32_t offset = id.y() * width + id.x();
-    *reinterpret_cast<float *>(tensor.ptr_to_element(id)) =
-        *(_biasData + offset);
-  });
-  return true;
-}
-
-bool OutputAccessor::access_tensor(arm_compute::ITensor &tensor)
-{
-  arm_compute::Window window;
-  window.use_tensor_dimensions(tensor.info()->tensor_shape());
-
-  execute_window_loop(window, [&](const arm_compute::Coordinates& id)
-  {
-    uint32_t width  = getSizeOfDimension(_outputShape, 2);
-    uint32_t offset = id.y() * width + id.x();
-    *(_outputData + offset) =
-        *reinterpret_cast<float *>(tensor.ptr_to_element(id));
-  });
-  return false; // end the network
-}