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Diffstat (limited to 'src/core/NEON/kernels/NEDepthwiseIm2ColKernel.cpp')
-rw-r--r--src/core/NEON/kernels/NEDepthwiseIm2ColKernel.cpp197
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diff --git a/src/core/NEON/kernels/NEDepthwiseIm2ColKernel.cpp b/src/core/NEON/kernels/NEDepthwiseIm2ColKernel.cpp
deleted file mode 100644
index 53789e2472..0000000000
--- a/src/core/NEON/kernels/NEDepthwiseIm2ColKernel.cpp
+++ /dev/null
@@ -1,197 +0,0 @@
-/*
- * 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/NEDepthwiseIm2ColKernel.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
-{
-Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output,
- const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, unsigned int depth_multiplier, const Size2D &dilation)
-{
- ARM_COMPUTE_UNUSED(conv_info);
- //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()) && has_bias);
- ARM_COMPUTE_RETURN_ERROR_ON((input->dimension(2) * depth_multiplier) != output->dimension(2));
- ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(0) != (kernel_dims.width * kernel_dims.height + ((has_bias) ? 1 : 0)));
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output);
- ARM_COMPUTE_RETURN_ERROR_ON((dilation.x() < 1) || dilation.y() < 1);
-
- return Status{};
-}
-} // namespace
-
-template <typename T>
-void NEDepthwiseIm2ColKernel::run_generic(const Window &window)
-{
- const int input_w = _input->info()->dimension(0);
- const int input_h = _input->info()->dimension(1);
- const int input_stride_x = _input->info()->strides_in_bytes().x();
- const int input_stride_y = _input->info()->strides_in_bytes().y();
- const int input_stride_z = _input->info()->strides_in_bytes().z();
- const int stride_x = _conv_info.stride().first;
- const int stride_y = _conv_info.stride().second;
-
- const int pad_left = _conv_info.pad_left();
- const int pad_right = _conv_info.pad_right();
- const int pad_top = _conv_info.pad_top();
-
- 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, 0, 0));
- window_in.set(Window::DimY, Window::Dimension(0, 0, 0));
- window_in.set(Window::DimZ, Window::Dimension(0, 0, 0));
-
- // Setup output window
- Window window_out(window);
- window_out.set(Window::DimX, Window::Dimension(0, _output->info()->dimension(0), _output->info()->dimension(0)));
- window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), 1));
- window_out.set(Window::DimZ, Window::Dimension(0, _output->info()->dimension(2), 1));
-
- Iterator in(_input, window_in);
- Iterator out(_output, window_out);
-
- const int full_length = input_w + pad_left + pad_right;
- const int max_initial_x = stride_x * (((full_length - (_kernel_dims.width + (_kernel_dims.width - 1) * (_dilation.x() - 1))) / stride_x) + 1);
-
- // Define pad value
- auto zero = static_cast<T>(0);
- if(std::is_same<T, uint8_t>::value)
- {
- zero = _input->info()->quantization_info().uniform().offset;
- }
-
- execute_window_loop(window_out, [&](const Coordinates & id)
- {
- const int src_pixel_linear = id.y() * stride_x;
-
- const int src_x = -pad_left + src_pixel_linear % max_initial_x;
- const int src_y = -pad_top + src_pixel_linear / max_initial_x * stride_y;
-
- // Get pointers
- const uint8_t *const input_ptr = in.ptr() + id.z() / _depth_multiplier * input_stride_z;
- auto output_ptr = reinterpret_cast<T *>(out.ptr());
- const int height = src_y + (_kernel_dims.height + (_kernel_dims.height - 1) * (_dilation.y() - 1));
- const int width = src_x + (_kernel_dims.width + (_kernel_dims.width - 1) * (_dilation.x() - 1));
-
- for(int y = src_y; y < height; y += _dilation.y())
- {
- for(int x = src_x; x < width; x += _dilation.x(), ++output_ptr)
- {
- if(x < 0 || x >= input_w || y < 0 || y >= input_h)
- {
- *output_ptr = zero;
- }
- else
- {
- *output_ptr = *(reinterpret_cast<const T *>(input_ptr + x * input_stride_x + y * input_stride_y));
- }
- }
- }
-
- if(_has_bias)
- {
- *output_ptr = static_cast<T>(1);
- }
- },
- in, out);
-}
-
-NEDepthwiseIm2ColKernel::NEDepthwiseIm2ColKernel()
- : _func(nullptr), _input(nullptr), _output(nullptr), _kernel_dims(), _conv_info(), _has_bias(), _depth_multiplier(1), _dilation()
-{
-}
-
-void NEDepthwiseIm2ColKernel::configure(const ITensor *input, ITensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, unsigned int depth_multiplier,
- const Size2D &dilation)
-{
- ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
-
- ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), kernel_dims, conv_info, has_bias, depth_multiplier, dilation));
-
- _input = input;
- _output = output;
- _kernel_dims = kernel_dims;
- _conv_info = conv_info;
- _has_bias = has_bias;
- _depth_multiplier = depth_multiplier;
- _dilation = dilation;
-
- // Configure kernel window
- Window win = calculate_max_window(*input->info(), Steps());
-
- // Set appropriate function to run
- switch(input->info()->data_type())
- {
- case DataType::QASYMM8:
- _func = &NEDepthwiseIm2ColKernel::run_generic<uint8_t>;
- break;
- case DataType::F16:
- _func = &NEDepthwiseIm2ColKernel::run_generic<half>;
- break;
- case DataType::F32:
- _func = &NEDepthwiseIm2ColKernel::run_generic<float>;
- break;
- default:
- ARM_COMPUTE_ERROR("Unsupported data type");
- }
-
- // The NEDepthwiseIm2ColKernel 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 NEDepthwiseIm2ColKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, unsigned int depth_multiplier,
- const Size2D &dilation)
-{
- ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
- ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, kernel_dims, conv_info, has_bias, depth_multiplier, dilation));
- return Status{};
-}
-
-void NEDepthwiseIm2ColKernel::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)
- {
- (this->*_func)(window);
- }
-}