diff options
Diffstat (limited to 'src/core/NEON/kernels/NEDepthwiseWeightsReshapeKernel.cpp')
-rw-r--r-- | src/core/NEON/kernels/NEDepthwiseWeightsReshapeKernel.cpp | 112 |
1 files changed, 112 insertions, 0 deletions
diff --git a/src/core/NEON/kernels/NEDepthwiseWeightsReshapeKernel.cpp b/src/core/NEON/kernels/NEDepthwiseWeightsReshapeKernel.cpp new file mode 100644 index 0000000000..6585fdb8b8 --- /dev/null +++ b/src/core/NEON/kernels/NEDepthwiseWeightsReshapeKernel.cpp @@ -0,0 +1,112 @@ +/* + * 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. + */ +#include "arm_compute/core/NEON/kernels/NEDepthwiseWeightsReshapeKernel.h" + +#include "arm_compute/core/AccessWindowTranspose.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; + +NEDepthwiseWeightsReshapeKernel::NEDepthwiseWeightsReshapeKernel() + : _input(nullptr), _output(nullptr), _biases(nullptr) +{ +} + +void NEDepthwiseWeightsReshapeKernel::configure(const ITensor *input, ITensor *output, const ITensor *biases) +{ + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32); + ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); + ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(input, output); + ARM_COMPUTE_ERROR_ON(input->info()->dimension(2) != output->info()->dimension(1)); + ARM_COMPUTE_ERROR_ON(output->info()->dimension(0) != (input->info()->dimension(0) * input->info()->dimension(1) + ((biases != nullptr) ? 1 : 0))); + + if(biases != nullptr) + { + ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, biases); + ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(input, biases); + ARM_COMPUTE_ERROR_ON(biases->info()->dimension(0) != input->info()->dimension(2)); + ARM_COMPUTE_ERROR_ON(biases->info()->num_dimensions() > 1); + } + + _input = input; + _output = output; + _biases = biases; + + // 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); +} + +void NEDepthwiseWeightsReshapeKernel::run(const Window &window, const ThreadInfo &info) +{ + ARM_COMPUTE_UNUSED(info); + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + + 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<float *>(in.ptr()); + auto output_ptr = reinterpret_cast<float *>(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(_biases != nullptr) + { + *(output_ptr + input_w) = *(reinterpret_cast<float *>(_biases->ptr_to_element(Coordinates(id.z())))); + } + }, + in, out); +} |