1 files changed, 0 insertions, 90 deletions
diff --git a/src/core/NEON/kernels/convolution/winograd/winograd_transforms/weights_4_5_fp32_fp32_integers.cpp b/src/core/NEON/kernels/convolution/winograd/winograd_transforms/weights_4_5_fp32_fp32_integers.cpp
deleted file mode 100644
index eeda274453..0000000000
--- a/src/core/NEON/kernels/convolution/winograd/winograd_transforms/weights_4_5_fp32_fp32_integers.cpp
+++ /dev/null
@@ -1,90 +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.
- */
-
-#include "arm.hpp"
-#include "kernel.hpp"
-
-namespace winograd
-{
-
-template <>
-void WeightTransform<1, 5, 1, 8, float, float, WinogradRoots::Integers>::execute(
-  const int n_output_channels,
-  const int n_input_channels,
-  const float* const input,  // NOTE: Data in HWIO order
-  float* const output,
-  const int matrix_stride,
-  const int matrix_row_stride
-)
-{
-  // Get pointers to each cell of the weight tensor
-  const auto weight_col_stride = n_input_channels * n_output_channels;
-  const float *inptrs[kernel_cols];
-  for (int j = 0; j < kernel_cols; j++)
-  {
-    inptrs[j] = input + j*weight_col_stride;
-  }
-
-  // For each input channel
-  for (int ic = 0; ic < n_input_channels; ic++)
-  {
-    float *outptr = output + ic * matrix_row_stride;
-
-    // For each output channel
-    int channels_remaining = n_output_channels;
-    for (; channels_remaining; channels_remaining--)
-    {
-      // Matrices used and computed in this kernel
-      float w[kernel_cols], V[inner_tile_cols];
-
-      // Read weights
-      for (int j = 0; j < kernel_cols; j++)
-      {
-        w[j] = *(inptrs[j]++);
-      }
-
-      // Compute V = w WT
-      V[0] = (w[0]*-1) / 36;
-      V[1] = (w[1]*-1 + w[3]*-1 + w[0]*1 + w[2]*1 + w[4]*1) / 48;
-      V[2] = (w[0]*1 + w[1]*1 + w[2]*1 + w[3]*1 + w[4]*1) / 48;
-      V[3] = (w[0]*-1 + w[4]*-16 + w[2]*-4 + w[1]*2 + w[3]*8) / 120;
-      V[4] = (w[0]*-1 + w[4]*-16 + w[3]*-8 + w[2]*-4 + w[1]*-2) / 120;
-      V[5] = (w[3]*-27 + w[1]*-3 + w[2]*9 + w[4]*81 + w[0]*1) / 720;
-      V[6] = (w[1]*3 + w[2]*9 + w[3]*27 + w[4]*81 + w[0]*1) / 720;
-      V[7] = (w[4]*1) / 1;
-
-      // Store the transformed weights
-      for (int j = 0; j < inner_tile_cols; j++)
-      {
-        *(outptr + j*matrix_stride) = V[j];
-      }
-      outptr++;
-    }
-  }
-}
-
-template class WeightTransform<1, 5, 1, 8, float, float, WinogradRoots::Integers>;
-template class WeightTransform<5, 1, 8, 1, float, float, WinogradRoots::Integers>;
-
-}  // namespace winograd