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-rw-r--r--tests/validation/CPP/DepthConcatenateLayer.cpp103
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diff --git a/tests/validation/CPP/DepthConcatenateLayer.cpp b/tests/validation/CPP/DepthConcatenateLayer.cpp
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--- a/tests/validation/CPP/DepthConcatenateLayer.cpp
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@@ -1,103 +0,0 @@
-/*
- * Copyright (c) 2017 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 "DepthConcatenateLayer.h"
-
-#include "tests/validation/FixedPoint.h"
-#include "tests/validation/Helpers.h"
-
-namespace arm_compute
-{
-namespace test
-{
-namespace validation
-{
-namespace reference
-{
-template <typename T>
-SimpleTensor<T> depthconcatenate_layer(const std::vector<SimpleTensor<T>> &srcs)
-{
- // Create reference
- std::vector<TensorShape> shapes;
-
- for(const auto &src : srcs)
- {
- shapes.emplace_back(src.shape());
- }
-
- DataType dst_type = srcs.empty() ? DataType::UNKNOWN : srcs[0].data_type();
- TensorShape dst_shape = calculate_depth_concatenate_shape(shapes);
- SimpleTensor<T> dst(dst_shape, dst_type);
-
- // Compute reference
- int depth_offset = 0;
- const int width_out = dst.shape().x();
- const int height_out = dst.shape().y();
- const int depth_out = dst.shape().z();
- const int out_stride_z = width_out * height_out;
- const int batches = dst.shape().total_size_upper(3);
-
- // Set output tensor to 0
- std::fill_n(dst.data(), dst.num_elements(), 0);
-
- for(const auto &src : srcs)
- {
- ARM_COMPUTE_ERROR_ON(depth_offset >= depth_out);
- ARM_COMPUTE_ERROR_ON(batches != static_cast<int>(src.shape().total_size_upper(3)));
-
- const int width = src.shape().x();
- const int height = src.shape().y();
- const int depth = src.shape().z();
- const int x_diff = (width_out - width) / 2;
- const int y_diff = (height_out - height) / 2;
-
- const T *src_ptr = src.data();
-
- for(int b = 0; b < batches; ++b)
- {
- const size_t offset_to_first_element = b * out_stride_z * depth_out + depth_offset * out_stride_z + y_diff * width_out + x_diff;
-
- for(int d = 0; d < depth; ++d)
- {
- for(int r = 0; r < height; ++r)
- {
- std::copy(src_ptr, src_ptr + width, dst.data() + offset_to_first_element + d * out_stride_z + r * width_out);
- src_ptr += width;
- }
- }
- }
-
- depth_offset += depth;
- }
-
- return dst;
-}
-
-template SimpleTensor<float> depthconcatenate_layer(const std::vector<SimpleTensor<float>> &srcs);
-template SimpleTensor<half> depthconcatenate_layer(const std::vector<SimpleTensor<half>> &srcs);
-template SimpleTensor<qint8_t> depthconcatenate_layer(const std::vector<SimpleTensor<qint8_t>> &srcs);
-template SimpleTensor<qint16_t> depthconcatenate_layer(const std::vector<SimpleTensor<qint16_t>> &srcs);
-} // namespace reference
-} // namespace validation
-} // namespace test
-} // namespace arm_compute