| /* |
| * Copyright (c) 2017-2019 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/NEDepthwiseWeightsReshapeKernel.h" |
| |
| #include "arm_compute/core/Coordinates.h" |
| #include "arm_compute/core/Error.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/ITensor.h" |
| #include "arm_compute/core/NEON/INEKernel.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/TensorShape.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/core/Window.h" |
| |
| using namespace arm_compute; |
| |
| namespace |
| { |
| template <typename T> |
| void weights_reshape(const ITensor *input, const ITensor *bias, ITensor *output, const Window &window) |
| { |
| const int input_w = input->info()->dimension(0); |
| const int output_stride_x = output->info()->strides_in_bytes().x(); |
| const int output_stride_y = output->info()->strides_in_bytes().y(); |
| |
| Window window_in(window); |
| // The first three dimensions of the input are increased by the inner loops |
| window_in.set(Window::DimX, Window::Dimension(0, input->info()->dimension(0), input->info()->dimension(0))); |
| window_in.set(Window::DimY, Window::Dimension(0, input->info()->dimension(1), 1)); |
| window_in.set(Window::DimZ, Window::Dimension(0, input->info()->dimension(2), 1)); |
| |
| // Setup output window |
| Window window_out; |
| window_out.set(Window::DimX, Window::Dimension(0, 0, 0)); |
| window_out.set(Window::DimY, Window::Dimension(0, 0, 0)); |
| |
| Iterator in(input, window_in); |
| Iterator out(output, window_out); |
| |
| execute_window_loop(window_in, [&](const Coordinates & id) |
| { |
| auto input_ptr = reinterpret_cast<T *>(in.ptr()); |
| auto output_ptr = reinterpret_cast<T *>(out.ptr() + id.y() * input_w * output_stride_x + id.z() * output_stride_y); |
| |
| for(int i = 0; i < input_w; ++i, ++input_ptr) |
| { |
| *(output_ptr + i) = *input_ptr; |
| } |
| |
| if(bias != nullptr) |
| { |
| *(output_ptr + input_w) = *(reinterpret_cast<T *>(bias->ptr_to_element(Coordinates(id.z())))); |
| } |
| }, |
| in, out); |
| } |
| |
| Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *biases) |
| { |
| //Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input) is not needed here as this kernel doesn't use NEON FP16 instructions. |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::F16, DataType::F32); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON(is_data_type_quantized_asymmetric(input->data_type()) && (biases != nullptr)); |
| ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(2) != output->dimension(1)); |
| ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(0) != (input->dimension(0) * input->dimension(1) + ((biases != nullptr) ? 1 : 0))); |
| |
| if(biases != nullptr) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, biases); |
| ARM_COMPUTE_RETURN_ERROR_ON(biases->dimension(0) != input->dimension(2)); |
| ARM_COMPUTE_RETURN_ERROR_ON(biases->num_dimensions() > 1); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output); |
| } |
| |
| return Status{}; |
| } |
| } // namespace |
| |
| NEDepthwiseWeightsReshapeKernel::NEDepthwiseWeightsReshapeKernel() |
| : _func(nullptr), _input(nullptr), _output(nullptr), _biases(nullptr) |
| { |
| } |
| |
| void NEDepthwiseWeightsReshapeKernel::configure(const ITensor *input, ITensor *output, const ITensor *biases) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), (biases != nullptr) ? biases->info() : nullptr)); |
| |
| _input = input; |
| _output = output; |
| _biases = biases; |
| |
| switch(_input->info()->element_size()) |
| { |
| case 4: |
| { |
| _func = &weights_reshape<uint32_t>; |
| break; |
| } |
| case 2: |
| { |
| _func = &weights_reshape<uint16_t>; |
| break; |
| } |
| case 1: |
| { |
| _func = &weights_reshape<uint8_t>; |
| break; |
| } |
| default: |
| { |
| ARM_COMPUTE_ERROR_ON("Element size not supported"); |
| break; |
| } |
| } |
| |
| // Configure kernel window |
| Window win = calculate_max_window(*input->info(), Steps()); |
| // The NEDepthwiseWeightsReshapeKernel doesn't need padding so update_window_and_padding() can be skipped |
| output->info()->set_valid_region(ValidRegion(Coordinates(), output->info()->tensor_shape())); |
| |
| INEKernel::configure(win); |
| } |
| |
| Status NEDepthwiseWeightsReshapeKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *biases) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, biases)); |
| return Status{}; |
| } |
| |
| void NEDepthwiseWeightsReshapeKernel::run(const Window &window, const ThreadInfo &info) |
| { |
| ARM_COMPUTE_UNUSED(info); |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); |
| |
| if(_func != nullptr) |
| { |
| (*_func)(_input, _biases, _output, window); |
| } |
| } |