1 files changed, 131 insertions, 0 deletions
diff --git a/tests/validation/reference/ConcatenateLayer.cpp b/tests/validation/reference/ConcatenateLayer.cpp
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+++ b/tests/validation/reference/ConcatenateLayer.cpp
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+/*
+ * Copyright (c) 2019 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 "ConcatenateLayer.h"
+
+#include "tests/validation/Helpers.h"
+#include "tests/validation/reference/Permute.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+namespace
+{
+template <typename T>
+SimpleTensor<T> widthconcatenate_layer(const std::vector<SimpleTensor<T>> &srcs, SimpleTensor<T> &dst)
+{
+    // Create reference
+    std::vector<TensorShape> shapes;
+    for(const auto &src : srcs)
+    {
+        shapes.emplace_back(src.shape());
+    }
+    // Compute reference
+    int       width_offset = 0;
+    const int width_out    = dst.shape().x();
+    // Set output tensor to 0
+    std::fill_n(dst.data(), dst.num_elements(), 0);
+    for(const auto &src : srcs)
+    {
+        ARM_COMPUTE_ERROR_ON(width_offset >= width_out);
+
+        const int width      = src.shape().x();
+        const int height     = src.shape().y();
+        const int depth      = src.shape().z();
+        const int upper_dims = src.shape().total_size() / (width * height * depth);
+
+        const T *src_ptr = src.data();
+        T       *dst_ptr = dst.data();
+
+        for(int u = 0; u < upper_dims; ++u)
+        {
+            for(int d = 0; d < depth; ++d)
+            {
+                for(int r = 0; r < height; ++r)
+                {
+                    const int offset = u * height * depth + d * height + r;
+                    if(src.data_type() == DataType::QASYMM8 && src.quantization_info() != dst.quantization_info())
+                    {
+                        std::transform(src_ptr, src_ptr + width, dst_ptr + width_offset + offset * width_out, [src, dst](T t)
+                        {
+                            const float dequantized_input = src.quantization_info().dequantize(t);
+                            return dst.quantization_info().quantize(dequantized_input, RoundingPolicy::TO_NEAREST_UP);
+                        });
+                        src_ptr += width;
+                    }
+                    else
+                    {
+                        std::copy(src_ptr, src_ptr + width, dst_ptr + width_offset + offset * width_out);
+                        src_ptr += width;
+                    }
+                }
+            }
+        }
+        width_offset += width;
+    }
+    return dst;
+}
+
+template SimpleTensor<float> widthconcatenate_layer(const std::vector<SimpleTensor<float>> &srcs, SimpleTensor<float> &dst);
+template SimpleTensor<half> widthconcatenate_layer(const std::vector<SimpleTensor<half>> &srcs, SimpleTensor<half> &dst);
+template SimpleTensor<uint8_t> widthconcatenate_layer(const std::vector<SimpleTensor<uint8_t>> &srcs, SimpleTensor<uint8_t> &dst);
+} // namespace
+
+template <typename T>
+SimpleTensor<T> concatenate_layer(std::vector<SimpleTensor<T>> &srcs, SimpleTensor<T> &dst, unsigned int axis)
+{
+    switch(axis)
+    {
+        case Window::DimX:
+        {
+            return widthconcatenate_layer(srcs, dst);
+        }
+        case Window::DimY:
+        {
+            for(auto &t : srcs)
+            {
+                t = reference::permute<T>(t, PermutationVector(1U, 0U));
+            }
+            dst = reference::permute<T>(dst, PermutationVector(1U, 0U));
+            return reference::permute<T>(widthconcatenate_layer(srcs, dst), PermutationVector(1U, 0U));
+        }
+        default:
+        {
+            ARM_COMPUTE_ERROR("Not supported");
+            return dst;
+        }
+    }
+}
+
+template SimpleTensor<float> concatenate_layer(std::vector<SimpleTensor<float>> &srcs, SimpleTensor<float> &dst, unsigned int axis);
+template SimpleTensor<half> concatenate_layer(std::vector<SimpleTensor<half>> &srcs, SimpleTensor<half> &dst, unsigned int axis);
+template SimpleTensor<uint8_t> concatenate_layer(std::vector<SimpleTensor<uint8_t>> &srcs, SimpleTensor<uint8_t> &dst, unsigned int axis);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute