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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 "WeightsReshape.h"
+
+#include "tests/validation/Helpers.h"
+#include "tests/validation/reference/Utils.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+SimpleTensor<T> weights_reshape(const SimpleTensor<T> &src, const SimpleTensor<T> &biases, const TensorShape &dst_shape, const unsigned int num_groups)
+{
+ SimpleTensor<T> dst{ dst_shape, src.data_type(), 1 };
+
+ // Compute reference
+ const bool has_bias = biases.size() > 0;
+ const size_t linear_sz = src.shape().total_size_lower(3);
+ const size_t group_sz = src.shape()[3] / num_groups;
+
+ for(size_t g = 0; g < num_groups; ++g)
+ {
+ for(size_t w = 0; w < group_sz; ++w)
+ {
+ const size_t curr_weight = g * group_sz + w;
+
+ size_t i = 0;
+ for(; i < linear_sz; ++i)
+ {
+ dst[coord2index(dst.shape(), Coordinates(w, i, g))] = src[curr_weight * linear_sz + i];
+ }
+ if(has_bias)
+ {
+ dst[coord2index(dst.shape(), Coordinates(w, i, g))] = static_cast<T>(biases[curr_weight]);
+ }
+ }
+ }
+
+ return dst;
+}
+
+template SimpleTensor<float> weights_reshape(const SimpleTensor<float> &src, const SimpleTensor<float> &biases, const TensorShape &dst_shape, const unsigned int num_groups);
+template SimpleTensor<half> weights_reshape(const SimpleTensor<half> &src, const SimpleTensor<half> &biases, const TensorShape &dst_shape, const unsigned int num_groups);
+template SimpleTensor<uint8_t> weights_reshape(const SimpleTensor<uint8_t> &src, const SimpleTensor<uint8_t> &biases, const TensorShape &dst_shape, const unsigned int num_groups);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute