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+/*
+ * 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 "PadLayer.h"
+
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "tests/validation/Helpers.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+SimpleTensor<T> pad_layer(const SimpleTensor<T> &src, const PaddingList &paddings)
+{
+ DataType dst_data_type = src.data_type();
+
+ TensorShape orig_shape = src.shape();
+
+ std::vector<PaddingInfo> paddings_extended = paddings;
+
+ for(size_t i = paddings.size(); i < TensorShape::num_max_dimensions; i++)
+ {
+ paddings_extended.emplace_back(PaddingInfo{ 0, 0 });
+ }
+
+ TensorShape padded_shape = misc::shape_calculator::compute_padded_shape(orig_shape, paddings);
+
+ SimpleTensor<T> dst(padded_shape, dst_data_type);
+
+ // Reference algorithm: loop over the different dimension of the input.
+ for(int idx = 0; idx < dst.num_elements(); idx++)
+ {
+ Coordinates coord = index2coord(padded_shape, idx);
+
+ const size_t i = coord.x();
+ const size_t j = coord.y();
+ const size_t k = coord.z();
+ const size_t l = coord[3];
+ const size_t m = coord[4];
+ const size_t n = coord[5];
+
+ std::array<size_t, TensorShape::num_max_dimensions> dims = { 0, 1, 2, 3, 4, 5 };
+ std::array<size_t, TensorShape::num_max_dimensions> coords = { i, j, k, l, m, n };
+ auto is_padding_area = [&](size_t i)
+ {
+ return (coords[i] < paddings_extended[i].first || coords[i] > orig_shape[i] + paddings_extended[i].first - 1);
+ };
+
+ // If the tuple [i,j,k,l,m] is in the padding area, then seimply set the value
+ if(std::any_of(dims.begin(), dims.end(), is_padding_area))
+ {
+ dst[idx] = T(0);
+ }
+ else
+ {
+ // If the tuple[i,j,k,l,m] is not in the padding area, then copy the input into the output
+
+ Coordinates orig_coords{ i - paddings_extended[0].first,
+ j - paddings_extended[1].first,
+ k - paddings_extended[2].first,
+ l - paddings_extended[3].first,
+ m - paddings_extended[4].first,
+ n - paddings_extended[5].first };
+
+ const size_t idx_src = coord2index(orig_shape, orig_coords);
+ dst[idx] = src[idx_src];
+ }
+ }
+
+ return dst;
+}
+
+template SimpleTensor<float> pad_layer(const SimpleTensor<float> &src, const PaddingList &paddings);
+template SimpleTensor<half> pad_layer(const SimpleTensor<half> &src, const PaddingList &paddings);
+template SimpleTensor<uint32_t> pad_layer(const SimpleTensor<uint32_t> &src, const PaddingList &paddings);
+template SimpleTensor<uint8_t> pad_layer(const SimpleTensor<uint8_t> &src, const PaddingList &paddings);
+template SimpleTensor<int8_t> pad_layer(const SimpleTensor<int8_t> &src, const PaddingList &paddings);
+template SimpleTensor<uint16_t> pad_layer(const SimpleTensor<uint16_t> &src, const PaddingList &paddings);
+template SimpleTensor<int16_t> pad_layer(const SimpleTensor<int16_t> &src, const PaddingList &paddings);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute