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+/*
+ * Copyright (c) 2017 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 "arm_compute/core/NEON/kernels/convolution/winograd/winograd_gemm.hpp"
+using namespace winograd;
+
+
+template <int otr, int otc, int kr, int kc>
+template <typename T>
+WinogradGEMM<otr, otc, kr, kc>::WeightsTransform<T>::WeightsTransform(
+ const T* const input,
+ T* const output,
+ const int matrix_stride, /** Stride across matrices in the output. */
+ const int matrix_row_stride, /** Stride across rows of the matrix. */
+ const int n_output_channels,
+ const int n_input_channels
+) : inptr(input), outptr(output),
+ matrix_stride(matrix_stride), matrix_row_stride(matrix_row_stride),
+ n_output_channels(n_output_channels), n_input_channels(n_input_channels)
+{
+}
+
+
+template <int otr, int otc, int kr, int kc>
+template <typename T>
+unsigned int WinogradGEMM<otr, otc, kr, kc>::WeightsTransform<T>::get_window() const
+{
+ // TODO When the weights transform supports multithreading, return the number
+ // of output channels. For now we return 1 to indicate that the weights must
+ // be transformed as a single block.
+ // return n_output_channels;
+ return 1;
+}
+
+
+template <int otr, int otc, int kr, int kc>
+template <typename T>
+void WinogradGEMM<otr, otc, kr, kc>::WeightsTransform<T>::run(
+ const unsigned int start, const unsigned int stop
+)
+{
+ // TODO When the weights transform supports multithreading call execute for a
+ // portion of the output channels.
+ (void) start;
+ (void) stop;
+
+ // For now, just do all of the work.
+ execute(
+ n_output_channels,
+ n_input_channels,
+ inptr,
+ outptr,
+ matrix_stride,
+ matrix_row_stride
+ );
+}