diff options
Diffstat (limited to 'compute/ARMComputeEx/src/core/NEON/kernels/NESpaceToDepthLayerKernelEx.cpp')
| -rw-r--r-- | compute/ARMComputeEx/src/core/NEON/kernels/NESpaceToDepthLayerKernelEx.cpp | 181 |
1 files changed, 0 insertions, 181 deletions
diff --git a/compute/ARMComputeEx/src/core/NEON/kernels/NESpaceToDepthLayerKernelEx.cpp b/compute/ARMComputeEx/src/core/NEON/kernels/NESpaceToDepthLayerKernelEx.cpp deleted file mode 100644 index 44feb200f..000000000 --- a/compute/ARMComputeEx/src/core/NEON/kernels/NESpaceToDepthLayerKernelEx.cpp +++ /dev/null @@ -1,181 +0,0 @@ -/* - * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -/* - * 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_compute/core/NEON/kernels/NESpaceToDepthLayerKernelEx.h" - -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/ITensor.h" -#include "arm_compute/core/NEON/wrapper/wrapper.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/core/utils/misc/ShapeCalculatorEx.h" -#include <arm_neon.h> -#include <cstdint> - -using namespace arm_compute::misc::shape_calculator; - -namespace arm_compute -{ -namespace -{ -Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, int32_t block_shape) -{ - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); - ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() > 4); - - ARM_COMPUTE_RETURN_ERROR_ON(block_shape < 1); - - // Validate output if initialized - if (output->total_size() != 0) - { - const DataLayout data_layout = input->data_layout(); - const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH); - const int idx_height = - get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT); - const int idx_channel = - get_data_layout_dimension_index(data_layout, DataLayoutDimension::CHANNEL); - const int idx_batch = - get_data_layout_dimension_index(data_layout, DataLayoutDimension::BATCHES); - ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape()[idx_width] % block_shape != 0); - ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape()[idx_height] % block_shape != 0); - ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape()[idx_batch] != - output->tensor_shape()[idx_batch]); - ARM_COMPUTE_RETURN_ERROR_ON(output->tensor_shape()[idx_channel] % (block_shape * block_shape) != - 0); - ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape().total_size() != - output->tensor_shape().total_size()); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); - } - - return Status{}; -} -} // namespace - -NESpaceToDepthLayerKernelEx::NESpaceToDepthLayerKernelEx() - : _input(nullptr), _output(nullptr), _block_shape() -{ -} - -void NESpaceToDepthLayerKernelEx::configure(const ITensor *input, ITensor *output, - int32_t block_shape) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); - - TensorShape output_shape = compute_space_to_depth_shape_ex(input->info(), block_shape); - auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type()); - - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), block_shape)); - - _input = input; - _block_shape = block_shape; - _output = output; - - // Configure kernel window - Window win = calculate_max_window(*output->info(), Steps()); - INEKernel::configure(win); -} - -Status NESpaceToDepthLayerKernelEx::validate(const ITensorInfo *input, const ITensorInfo *output, - int32_t block_shape) -{ - ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, block_shape)); - return Status{}; -} - -void NESpaceToDepthLayerKernelEx::run(const Window &window, const ThreadInfo &info) -{ - ARM_COMPUTE_UNUSED(info); - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICPPKernel::window(), window); - - const DataLayout data_layout = _input->info()->data_layout(); - const int channel_idx = - get_data_layout_dimension_index(data_layout, DataLayoutDimension::CHANNEL); - const int element_size = _input->info()->element_size(); - - const size_t channel_size = _input->info()->dimension(channel_idx); - - Window slice_out = window.first_slice_window_3D(); - - int batch_id = 0; - - // Main loop for NCHW and NHWC - if (_output->info()->data_layout() == DataLayout::NCHW) - { - do - { - Iterator out(_output, slice_out); - execute_window_loop(slice_out, - [&](const Coordinates &id) { - const size_t channel_id = id.z(); - const size_t in_x = - id.x() * _block_shape + (channel_id / channel_size) % _block_shape; - const size_t in_y = - id.y() * _block_shape + (channel_id / channel_size) / _block_shape; - const int z = channel_id % channel_size; - Coordinates input_coords{in_x, in_y, z, batch_id}; - memcpy(out.ptr(), _input->ptr_to_element(input_coords), element_size); - }, - out); - ++batch_id; - } while (window.slide_window_slice_3D(slice_out)); - } - else - { - do - { - Iterator out(_output, slice_out); - execute_window_loop(slice_out, - [&](const Coordinates &id) { - const size_t channel_id = id.x(); - const size_t in_x = - id.y() * _block_shape + (channel_id / channel_size) % _block_shape; - const size_t in_y = - id.z() * _block_shape + (channel_id / channel_size) / _block_shape; - const int z = channel_id % channel_size; - Coordinates input_coords{z, in_x, in_y, batch_id}; - memcpy(out.ptr(), _input->ptr_to_element(input_coords), element_size); - }, - out); - ++batch_id; - } while (window.slide_window_slice_3D(slice_out)); - } -} -} // namespace arm_compute |