COMPMID-1050 CL/NEON: Create a function to convert the 2D weights of FC layer from NHWC to NCHW and viceversa

Change-Id: If77ffeb92b6eb883e5d2d2c97c2c4d1d23d17c8d
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/129257
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

1 files changed, 65 insertions, 0 deletions

diff --git a/tests/validation/reference/ConvertFullyConnectedWeights.cpp b/tests/validation/reference/ConvertFullyConnectedWeights.cpp
new file mode 100644
index 0000000000..b0f537fa0c
--- /dev/null
+++ b/tests/validation/reference/ConvertFullyConnectedWeights.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 "ConvertFullyConnectedWeights.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+SimpleTensor<T> convert_fully_connected_weights(const SimpleTensor<T> &src, const TensorShape &original_input_shape, const DataLayout training_data_layout)
+{
+    SimpleTensor<T> dst(src.shape(), src.data_type());
+
+    const bool         is_nchw_to_nhwc           = training_data_layout == DataLayout::NCHW;
+    const unsigned int num_elems_per_input_plane = original_input_shape.x() * original_input_shape.y();
+    const unsigned int num_channels              = original_input_shape.z();
+    const unsigned int factor_1                  = is_nchw_to_nhwc ? num_elems_per_input_plane : num_channels;
+    const unsigned int factor_2                  = is_nchw_to_nhwc ? num_channels : num_elems_per_input_plane;
+
+    for(int i = 0; i < src.num_elements(); ++i)
+    {
+        const Coordinates coords_in = index2coords(src.shape(), i);
+        const Coordinates coords_out(coords_in.x(), coords_in.y() % factor_1 * factor_2 + coords_in.y() / factor_1);
+
+        dst[coords2index(dst.shape(), coords_out)] = src[i];
+    }
+
+    return dst;
+}
+
+template SimpleTensor<uint8_t> convert_fully_connected_weights(const SimpleTensor<uint8_t> &src, const TensorShape &original_input_shape,
+                                                               const DataLayout training_data_layout);
+template SimpleTensor<half> convert_fully_connected_weights(const SimpleTensor<half> &src, const TensorShape &original_input_shape,
+                                                            const DataLayout training_data_layout);
+template SimpleTensor<float> convert_fully_connected_weights(const SimpleTensor<float> &src, const TensorShape &original_input_shape,
+                                                             const DataLayout training_data_layout);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute