1 files changed, 0 insertions, 102 deletions
diff --git a/src/core/NEON/kernels/convolution/depthwise/depthwise_pack_parameters.cpp b/src/core/NEON/kernels/convolution/depthwise/depthwise_pack_parameters.cpp
deleted file mode 100644
index bddae51135..0000000000
--- a/src/core/NEON/kernels/convolution/depthwise/depthwise_pack_parameters.cpp
+++ /dev/null
@@ -1,102 +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 "impl_base.hpp"
-
-// TODO Move to common utilities somewhere
-template <size_t Size> struct DType { };
-template <> struct DType<1> { using scalar_type = uint8_t; };
-template <> struct DType<2> { using scalar_type = uint16_t; };
-template <> struct DType<4> { using scalar_type = uint32_t; };
-
-namespace depthwise
-{
-
-template <unsigned int KernelRows, unsigned int KernelColumns, size_t WeightSize, size_t BiasSize>
-void PackParameters<KernelRows, KernelColumns, WeightSize, BiasSize>::execute(
-  unsigned int n_channels,
-  void *buffer,
-  const void *weights,
-  const unsigned int weight_row_stride,
-  const unsigned int weight_col_stride,
-  const void *biases
-)
-{
-  using TWeight = typename DType<WeightSize>::scalar_type;
-  using TBias = typename DType<BiasSize>::scalar_type;
-
-  auto buffer_ptr = static_cast<uint8_t *>(buffer);
-  auto weights_ptr = static_cast<const TWeight *>(weights);
-  auto biases_ptr = static_cast<const TBias *>(biases);
-
-  const unsigned int veclen = 16 / WeightSize;
-  for (; n_channels >= veclen; n_channels -= veclen)
-  {
-    // Copy biases
-    for (unsigned int i = 0; i < veclen; i++)
-    {
-      auto ptr = reinterpret_cast<TBias *>(buffer_ptr);
-      *ptr = (biases_ptr == nullptr) ? 0x0 : *(biases_ptr++);
-      buffer_ptr += BiasSize;
-    }
-
-    // Copy weights
-    for (unsigned int i = 0; i < KernelRows; i++)
-    {
-      for (unsigned int j = 0; j < KernelColumns; j++)
-      {
-        for (unsigned int c = 0; c < veclen; c++)
-        {
-          *(reinterpret_cast<TWeight *>(buffer_ptr)) = weights_ptr[i*weight_row_stride + j*weight_col_stride + c];
-          buffer_ptr += WeightSize;
-        }
-      }
-    }
-    weights_ptr += veclen;
-  }
-  for (; n_channels; n_channels--)
-  {
-    // Copy bias
-    auto ptr = reinterpret_cast<TBias *>(buffer_ptr);
-    *ptr = (biases_ptr == nullptr) ? 0x0 : *(biases_ptr++);
-    buffer_ptr += BiasSize;
-
-    // Copy weights
-    for (unsigned int i = 0; i < KernelRows; i++)
-    {
-      for (unsigned int j = 0; j < KernelColumns; j++)
-      {
-        *(reinterpret_cast<TWeight *>(buffer_ptr)) = weights_ptr[i*weight_row_stride + j*weight_col_stride];
-        buffer_ptr += WeightSize;
-      }
-    }
-    weights_ptr++;
-  }
-}
-
-template struct PackParameters<3, 3, 2ul, 2ul>;
-template struct PackParameters<3, 3, 4ul, 4ul>;
-template struct PackParameters<5, 5, 2ul, 2ul>;
-template struct PackParameters<5, 5, 4ul, 4ul>;
-}  // namespace