COMPMID-784: Removed no longer needed file winograd_shim_nchw.hpp

Change-Id: If72b649fce21d0b8b9c28a1b064c4cf5adb06c15
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/115502
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

1 files changed, 0 insertions, 191 deletions

diff --git a/src/core/NEON/kernels/winograd/winograd_shim_nchw.hpp b/src/core/NEON/kernels/winograd/winograd_shim_nchw.hpp
deleted file mode 100644
index c5bcffbaef..0000000000
--- a/src/core/NEON/kernels/winograd/winograd_shim_nchw.hpp
+++ /dev/null
@@ -1,191 +0,0 @@
-/*
- * 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.
- */
-#pragma once
-#include <cstdint>
-#include <cstdlib>
-
-#include "gemm.hpp"
-#include "profiler.hpp"
-#include "utils.hpp"
-#include "shims.hpp"
-#include "winograd_gemm.hpp"
-
-#include "transforms.hpp"
- 
-#ifndef ALLOC_ALIGN
-#define ALLOC_ALIGN 64
-#endif  // ALLOC_ALIGN
-
-
-namespace winograd_shim_nchw {
-  /***************************************************************************/
-  /* Implementation of the Winograd F(2x2, 3x3, 4x4) algorithm using GEMM
-   * internally.
-   */
-  template <typename TOut, typename TIn>
-  class Winograd2x2_3x3GEMM : public winograd::Winograd2x2_3x3GEMM<TOut, TIn> {
-    public:
-      /* Instantiate a new Winograd operator.
-       */
-      Winograd2x2_3x3GEMM(const KernelShape &kernel_shape, const Tensor4DShape input_shape, const PaddingType padding_type, void *kernel_storage);
-
-      void nchw2nhwc( const Tensor4DShape& input_shape, const PaddingType padding_type, void *working_space, const TIn* const input);
-      void nhwc2nchw( const Tensor4DShape& input_shape, const PaddingType padding_type, void *working_space, TOut* const output);
-
-
-      std::pair<TOut*,TIn*> get_nhwc_ptrs(const Tensor4DShape& input_shape,const PaddingType padding_type,void *working_space);
-
-      static size_t get_working_space_size(const Tensor4DShape &input_shape,const KernelShape &k_shape, const PaddingType padding);
-    protected:
-      /* Get the memory required to store an NHWC copy of the input tensor. */
-      static size_t get_working_nhwc_input_size(const Tensor4DShape &input_shape);
-
-      /* Get the memory required to store an NHWC copy of the input tensor. */
-      static size_t get_working_nhwc_output_size(const Tensor4DShape &output_shape, const KernelShape &k_shape, const PaddingType padding) ;
-  };
-} // namespace winograd
-
-/*****************************************************************************/
-template <typename TOut, typename TIn>
-winograd_shim_nchw::Winograd2x2_3x3GEMM<TOut, TIn>::Winograd2x2_3x3GEMM(
-    const KernelShape &kernel_shape, const Tensor4DShape input_shape,
-        const PaddingType padding_type, void *kernel_storage
-) : winograd::Winograd2x2_3x3GEMM<TOut, TIn>(kernel_shape,input_shape,padding_type,kernel_storage) {
-}
-
-/*****************************************************************************/
-template <typename TOut, typename TIn>
-void winograd_shim_nchw::Winograd2x2_3x3GEMM<TOut, TIn>::nchw2nhwc(const Tensor4DShape& input_shape, const PaddingType padding_type, void *working_space, const TIn* const input) {
-  assert(working_space);
-  int8_t* const ws_bytes = reinterpret_cast<int8_t *>(working_space);
-
-  // Extract the top chunk of the working space to store the input and output
-  // tensors in NHWC format.
-  const int in_matrix_stride_bytes = winograd::Winograd2x2_3x3GEMM<TOut, TIn>::get_input_matrix_size(input_shape, this->kernel_shape, padding_type);
-  const int out_matrix_stride_bytes = winograd::Winograd2x2_3x3GEMM<TOut, TIn>::get_output_matrix_size(input_shape, this->kernel_shape, padding_type);
-
-  // Allocate working space for the input and output in NHWC format
-  TIn* const input_nhwc = reinterpret_cast<TIn *>(
-      ws_bytes + 16*(in_matrix_stride_bytes + out_matrix_stride_bytes)
-  );
-
-  // Re-order the input tensor
-  this->prof(
-    "NCHW -> NHWC",
-    [input, input_shape, input_nhwc] () {
-      nchw_to_nhwc(
-        input, input_nhwc,
-        input_shape.n_batches,
-        input_shape.n_channels,
-        input_shape.n_rows,
-        input_shape.n_cols
-      );
-    },
-    input_shape.size(), 0, input_shape.size()
-  );
-}
-
-/*****************************************************************************/
-template <typename TOut, typename TIn>
-void winograd_shim_nchw::Winograd2x2_3x3GEMM<TOut, TIn>::nhwc2nchw(const Tensor4DShape& input_shape, const PaddingType padding_type, 
-            void *working_space, TOut* const output) {
-
-  assert(working_space);
-  int8_t* const ws_bytes = reinterpret_cast<int8_t *>(working_space);
-
-  // Extract the top chunk of the working space to store the input and output
-  // tensors in NHWC format.
-  const int in_matrix_stride_bytes = winograd::Winograd2x2_3x3GEMM<TOut, TIn>::get_input_matrix_size(input_shape, this->kernel_shape, padding_type);
-  const int out_matrix_stride_bytes = winograd::Winograd2x2_3x3GEMM<TOut, TIn>::get_output_matrix_size(input_shape, this->kernel_shape, padding_type);
-
-  TOut* const output_nhwc = reinterpret_cast<TOut *>(ws_bytes + 16*(in_matrix_stride_bytes + out_matrix_stride_bytes) + get_working_nhwc_input_size(input_shape));
-
-  // Re-order the output tensor into NCHW
-  const auto output_shape = winograd::Winograd2x2_3x3GEMM<TOut, TIn>::get_output_shape(input_shape, this->kernel_shape, padding_type);
-  this->prof(
-    "NHWC -> NCHW",
-    [output_nhwc, output_shape, output] () {
-      nhwc_to_nchw(
-        output_nhwc, output,
-        output_shape.n_batches,
-        output_shape.n_rows,
-        output_shape.n_cols,
-        output_shape.n_channels
-      );
-    },
-    output_shape.size(), 0, output_shape.size()
-  );
-}
-
-
-/*****************************************************************************/
-template <typename TOut, typename TIn>
-std::pair<TOut*,TIn*> winograd_shim_nchw::Winograd2x2_3x3GEMM<TOut, TIn>::get_nhwc_ptrs(
-    const Tensor4DShape& input_shape,
-    const PaddingType padding_type,
-    void *working_space
-) {
-  assert(working_space);
-  int8_t* const ws_bytes = reinterpret_cast<int8_t *>(working_space);
-
-  // Extract the top chunk of the working space to store the input and output
-  // tensors in NHWC format.
-  const int in_matrix_stride_bytes = winograd::Winograd2x2_3x3GEMM<TOut, TIn>::get_input_matrix_size(input_shape, this->kernel_shape, padding_type);
-  const int out_matrix_stride_bytes = winograd::Winograd2x2_3x3GEMM<TOut, TIn>::get_output_matrix_size(input_shape, this->kernel_shape, padding_type);
-
-  // Allocate working space for the input and output in NHWC format
-  TIn* input_nhwc = reinterpret_cast<TIn *>(ws_bytes + 16*(in_matrix_stride_bytes + out_matrix_stride_bytes));
-  TOut* output_nhwc = reinterpret_cast<TOut *>(ws_bytes + 16*(in_matrix_stride_bytes + out_matrix_stride_bytes) + get_working_nhwc_input_size(input_shape));
-  return std::make_pair(output_nhwc,input_nhwc);
-}
-
-
-
-
-/*****************************************************************************/
-template <typename TOut, typename TIn>
-size_t winograd_shim_nchw::Winograd2x2_3x3GEMM<TOut, TIn>::get_working_space_size(
-    const Tensor4DShape& input_shape, const KernelShape &k_shape, const PaddingType padding_type
-)  {
-  // TODO Add memory required for NHWC copies of input tensors
-  return winograd::Winograd2x2_3x3GEMM<TOut, TIn>::get_working_space_size(
-      input_shape, k_shape, padding_type)
-      + get_working_nhwc_input_size(input_shape)
-      + get_working_nhwc_output_size(input_shape, k_shape, padding_type);
-}
-
-template <typename TOut, typename TIn>
-size_t winograd_shim_nchw::Winograd2x2_3x3GEMM<TOut, TIn>::get_working_nhwc_input_size(
-    const Tensor4DShape& input_shape
-)  {
-  return roundup(input_shape.size() * sizeof(TIn), static_cast<size_t>(ALLOC_ALIGN));
-}
-
-template <typename TOut, typename TIn>
-size_t winograd_shim_nchw::Winograd2x2_3x3GEMM<TOut, TIn>::get_working_nhwc_output_size(
-    const Tensor4DShape& input_shape, const KernelShape &k_shape, const PaddingType padding_type
-)  {
-  const auto output_shape = winograd::Winograd2x2_3x3GEMM<TOut, TIn>::get_output_shape(input_shape,k_shape, padding_type);
-  return roundup(output_shape.size() * sizeof(TIn), static_cast<size_t>(ALLOC_ALIGN));
-}