1 files changed, 0 insertions, 137 deletions
diff --git a/src/core/cpu/kernels/CpuConvertFullyConnectedWeightsKernel.cpp b/src/core/cpu/kernels/CpuConvertFullyConnectedWeightsKernel.cpp
deleted file mode 100644
index d91ee64ecf..0000000000
--- a/src/core/cpu/kernels/CpuConvertFullyConnectedWeightsKernel.cpp
+++ /dev/null
@@ -1,137 +0,0 @@
-/*
- * Copyright (c) 2018-2021 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 "src/core/cpu/kernels/CpuConvertFullyConnectedWeightsKernel.h"
-
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/Types.h"
-#include "src/core/helpers/AutoConfiguration.h"
-#include "src/core/helpers/WindowHelpers.h"
-
-namespace arm_compute
-{
-namespace cpu
-{
-namespace kernels
-{
-CpuConvertFullyConnectedWeightsKernel::CpuConvertFullyConnectedWeightsKernel()
-    : _factor1(0), _factor2(0)
-{
-}
-
-void CpuConvertFullyConnectedWeightsKernel::configure(const ITensorInfo *src, ITensorInfo *dst, const TensorShape &original_input_shape,
-                                                      DataLayout data_layout)
-
-{
-    ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
-
-    // Output tensor auto initialisation if not yet initialized
-    auto_init_if_empty(*dst, *src->clone());
-
-    ARM_COMPUTE_ERROR_THROW_ON(CpuConvertFullyConnectedWeightsKernel::validate(src, dst, original_input_shape, data_layout));
-
-    const DataLayout input_data_layout = (data_layout == DataLayout::NCHW) ? DataLayout::NHWC : DataLayout::NCHW;
-
-    const int width_idx   = get_data_layout_dimension_index(input_data_layout, DataLayoutDimension::WIDTH);
-    const int height_idx  = get_data_layout_dimension_index(input_data_layout, DataLayoutDimension::HEIGHT);
-    const int channel_idx = get_data_layout_dimension_index(input_data_layout, DataLayoutDimension::CHANNEL);
-
-    const unsigned int num_elems_per_input_plane = original_input_shape[width_idx] * original_input_shape[height_idx];
-    const unsigned int num_channels              = original_input_shape[channel_idx];
-
-    _factor1 = (data_layout == DataLayout::NCHW) ? num_elems_per_input_plane : num_channels;
-    _factor2 = (data_layout == DataLayout::NCHW) ? num_channels : num_elems_per_input_plane;
-
-    // Configure kernel window
-    Window win = calculate_max_window(*src, Steps());
-    ICpuKernel::configure(win);
-}
-
-Status CpuConvertFullyConnectedWeightsKernel::validate(const ITensorInfo *src, const ITensorInfo *dst, const TensorShape &original_input_shape,
-                                                       DataLayout data_layout)
-{
-    ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src);
-    ARM_COMPUTE_RETURN_ERROR_ON(src->data_type() == DataType::UNKNOWN);
-    ARM_COMPUTE_RETURN_ERROR_ON(src->num_dimensions() != 2);
-    ARM_COMPUTE_RETURN_ERROR_ON(src->dimension(1) != original_input_shape.total_size_lower(3));
-    ARM_COMPUTE_RETURN_ERROR_ON(data_layout == DataLayout::UNKNOWN);
-
-    // Checks performed when dst is configured
-    if((dst != nullptr) && (dst->total_size() != 0))
-    {
-        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst);
-        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(src, dst);
-    }
-
-    return Status{};
-}
-
-template <typename T>
-void CpuConvertFullyConnectedWeightsKernel::run_convert_fc_weights(const ITensor *in, ITensor *out, const Window &window)
-{
-    const unsigned int dst_stride_x = out->info()->strides_in_bytes().x();
-    const unsigned int dst_stride_y = out->info()->strides_in_bytes().y();
-
-    Iterator input(in, window);
-    Iterator output(out, window);
-
-    execute_window_loop(window, [&](const Coordinates & id)
-    {
-        *reinterpret_cast<T *>(output.ptr() + id.x() * dst_stride_x + (id.y() % _factor1 * _factor2 + id.y() / _factor1) * dst_stride_y) = *reinterpret_cast<T *>(input.ptr());
-    },
-    input);
-}
-
-void CpuConvertFullyConnectedWeightsKernel::run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info)
-{
-    ARM_COMPUTE_UNUSED(info);
-    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
-    ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICpuKernel::window(), window);
-
-    const auto src = tensors.get_const_tensor(TensorType::ACL_SRC);
-    auto       dst = tensors.get_tensor(TensorType::ACL_DST);
-
-    switch(src->info()->element_size())
-    {
-        case 1:
-            run_convert_fc_weights<uint8_t>(src, dst, window);
-            break;
-        case 2:
-            run_convert_fc_weights<uint16_t>(src, dst, window);
-            break;
-        case 4:
-            run_convert_fc_weights<uint32_t>(src, dst, window);
-            break;
-        default:
-            ARM_COMPUTE_ERROR("Data type not supported.");
-            break;
-    }
-}
-
-const char *CpuConvertFullyConnectedWeightsKernel::name() const
-{
-    return "CpuConvertFullyConnectedWeightsKernel";
-}
-} // namespace kernels
-} // namespace cpu
-} // namespace arm_compute