arm_compute v18.11
diff --git a/tests/validation/reference/UpsampleLayer.cpp b/tests/validation/reference/UpsampleLayer.cpp
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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 "UpsampleLayer.h"
+
+#include "tests/validation/Helpers.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+SimpleTensor<T> upsample_layer(const SimpleTensor<T> &src,
+ const Size2D &info, const InterpolationPolicy policy)
+{
+ ARM_COMPUTE_ERROR_ON(policy != InterpolationPolicy::NEAREST_NEIGHBOR);
+ ARM_COMPUTE_UNUSED(policy);
+
+ TensorShape output_shape = src.shape();
+ output_shape.set(0, src.shape().x() * info.x());
+ output_shape.set(1, src.shape().y() * info.y());
+
+ // Create reference
+ const int stride_x = info.x();
+ const int stride_y = info.y();
+ int width_out = output_shape.x();
+ int height_out = output_shape.y();
+ SimpleTensor<T> out{ output_shape, src.data_type(), 1, src.quantization_info() };
+
+ const int width_in = src.shape().x();
+ const int height_in = src.shape().y();
+ const int num_2d_slices = src.shape().total_size() / (width_in * height_in);
+
+ for(int slice = 0; slice < num_2d_slices; ++slice)
+ {
+ const int offset_slice_in = slice * width_in * height_in;
+ const int offset_slice_out = slice * height_out * width_out;
+ for(int y = 0; y < height_out; ++y)
+ {
+ for(int x = 0; x < width_out; ++x)
+ {
+ const int out_offset = y * width_out + x;
+ const int in_offset = (y / stride_y) * width_in + x / stride_x;
+
+ T *_out = out.data() + offset_slice_out + out_offset;
+ const T *in = src.data() + offset_slice_in + in_offset;
+ *_out = *in;
+ }
+ }
+ }
+
+ return out;
+}
+
+template SimpleTensor<float> upsample_layer(const SimpleTensor<float> &src,
+ const Size2D &info, const InterpolationPolicy policy);
+template SimpleTensor<half> upsample_layer(const SimpleTensor<half> &src,
+ const Size2D &info, const InterpolationPolicy policy);
+template SimpleTensor<uint8_t> upsample_layer(const SimpleTensor<uint8_t> &src,
+ const Size2D &info, const InterpolationPolicy policy);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute