1 files changed, 78 insertions, 0 deletions
diff --git a/src/core/NEON/kernels/convolution/winograd/winograd_transforms/kernel.hpp b/src/core/NEON/kernels/convolution/winograd/winograd_transforms/kernel.hpp
new file mode 100644
index 0000000000..e45f1863e3
--- /dev/null
+++ b/src/core/NEON/kernels/convolution/winograd/winograd_transforms/kernel.hpp
@@ -0,0 +1,78 @@
+/*
+ * 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.
+ */
+
+#pragma once
+#include "winograd.hpp"
+using namespace winograd;
+
+#define MEMBERFN(RTYPE) template <\
+  int KernelRows, int KernelCols, int InnerTileRows, int InnerTileCols, typename TIn, typename TOut, WinogradRoots Roots\
+> RTYPE WeightTransform<KernelRows, KernelCols, InnerTileRows, InnerTileCols, TIn, TOut, Roots>
+
+MEMBERFN()::WeightTransform(
+  const int n_output_channels,
+  const int n_input_channels
+) : _n_output_channels(n_output_channels), _n_input_channels(n_input_channels),
+    _matrices(nullptr), _matrix_stride(0), _matrix_row_stride(0), _weights(nullptr)
+{
+
+}
+
+MEMBERFN(void)::set_weight_tensor(const void * const weights)
+{
+  _weights = static_cast<const TIn *>(weights);
+}
+
+MEMBERFN(void)::set_output_matrices(void * const mptr, const int ldmatrix, const int ldrow)
+{
+  _matrices = static_cast<TOut *>(mptr);
+  _matrix_stride = ldmatrix;
+  _matrix_row_stride = ldrow;
+}
+
+MEMBERFN(size_t)::get_working_space_size(unsigned int) const
+{
+  return 0;
+}
+
+MEMBERFN(void)::set_working_space(void *)
+{
+}
+
+MEMBERFN(unsigned int)::get_window(void) 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;
+}
+
+MEMBERFN(void)::run(const unsigned int, const unsigned int, unsigned int)
+{
+  execute(
+    _n_output_channels, _n_input_channels, _weights,
+    _matrices, _matrix_stride, _matrix_row_stride
+  );
+}