1 files changed, 0 insertions, 78 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
deleted file mode 100644
index 27d20811d6..0000000000
--- a/src/core/NEON/kernels/convolution/winograd/winograd_transforms/kernel.hpp
+++ /dev/null
@@ -1,78 +0,0 @@
-/*
- * 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
-  );
-}