| /* |
| * 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 |
| { |
| 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{}; |
| } |
| |
| 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); |
| |
| const unsigned int dst_stride_x = dst->info()->strides_in_bytes().x(); |
| const unsigned int dst_stride_y = dst->info()->strides_in_bytes().y(); |
| const unsigned int element_size = src->info()->element_size(); |
| |
| Iterator input(src, window); |
| Iterator output(dst, window); |
| |
| execute_window_loop(window, [&](const Coordinates & id) |
| { |
| memcpy(output.ptr() + id.x() * dst_stride_x + (id.y() % _factor1 * _factor2 + id.y() / _factor1) * dst_stride_y, input.ptr(), element_size); |
| }, |
| input); |
| } |
| |
| const char *CpuConvertFullyConnectedWeightsKernel::name() const |
| { |
| return "CpuConvertFullyConnectedWeightsKernel"; |
| } |
| } // namespace kernels |
| } // namespace cpu |
| } // namespace arm_compute |