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author | Giorgio Arena <giorgio.arena@arm.com> | 2017-11-23 11:45:24 +0000 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:41:58 +0000 |
commit | 04a8f8c4994f1c32b3f16a832c0e6f2599364c02 (patch) | |
tree | bb96843720896c60f8876a753b0a61b1efcab73b /src/core/NEON/kernels/NEDepthConcatenateKernel.cpp | |
parent | 58c5794b917dae10ff115dd85ec69e2ca41136c1 (diff) | |
download | ComputeLibrary-04a8f8c4994f1c32b3f16a832c0e6f2599364c02.tar.gz |
COMPMID-692 Consistent names for the interfaces
Change-Id: I4b1f3f0da9ff5342c7de7083736fe91871d14e5b
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/110351
Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'src/core/NEON/kernels/NEDepthConcatenateKernel.cpp')
-rw-r--r-- | src/core/NEON/kernels/NEDepthConcatenateKernel.cpp | 170 |
1 files changed, 0 insertions, 170 deletions
diff --git a/src/core/NEON/kernels/NEDepthConcatenateKernel.cpp b/src/core/NEON/kernels/NEDepthConcatenateKernel.cpp deleted file mode 100644 index 7a62b0cb03..0000000000 --- a/src/core/NEON/kernels/NEDepthConcatenateKernel.cpp +++ /dev/null @@ -1,170 +0,0 @@ -/* - * 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/NEDepthConcatenateKernel.h" - -#include "arm_compute/core/Error.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/IAccessWindow.h" -#include "arm_compute/core/ITensor.h" -#include "arm_compute/core/NEON/NEFixedPoint.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/Utils.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/core/Window.h" - -#include <arm_neon.h> -#include <cstdint> - -using namespace arm_compute; - -namespace -{ -// Overloads of 128-bit vector loads -uint8x16_t loadq(const uint8_t *ptr) -{ - return vld1q_u8(ptr); -} -uint16x8_t loadq(const uint16_t *ptr) -{ - return vld1q_u16(ptr); -} -uint32x4_t loadq(const uint32_t *ptr) -{ - return vld1q_u32(ptr); -} -// Overloads of 128-bit vector stores -void storeq(uint8_t *ptr, uint8x16_t val) -{ - return vst1q_u8(ptr, val); -} -void storeq(uint16_t *ptr, uint16x8_t val) -{ - return vst1q_u16(ptr, val); -} -void storeq(uint32_t *ptr, uint32x4_t val) -{ - return vst1q_u32(ptr, val); -} - -template <typename T> -void depth_concat(const ITensor *in, ITensor *out, std::pair<int, int> start_xy, int depth_offset, const Window &window) -{ - const int start_x = start_xy.first; - const int start_y = start_xy.second; - - // Offset input - const int input_offset_to_first_elements_in_bytes = in->info()->offset_first_element_in_bytes() - start_x * in->info()->strides_in_bytes()[0] - start_y * in->info()->strides_in_bytes()[1]; - uint8_t *input_ptr = in->buffer() + input_offset_to_first_elements_in_bytes; - - // Offset output - const unsigned int output_offset_to_first_elements_in_bytes = out->info()->offset_first_element_in_bytes() + depth_offset * out->info()->strides_in_bytes()[2]; - uint8_t *output_ptr = out->buffer() + output_offset_to_first_elements_in_bytes; - - Iterator input(in, window); - Iterator output(out, window); - - execute_window_loop(window, [&](const Coordinates & id) - { - const auto in_ptr = reinterpret_cast<const T *>(input_ptr + input.offset()); - const auto out_ptr = reinterpret_cast<T *>(output_ptr + output.offset()); - - storeq(out_ptr, loadq(in_ptr)); - }, - input, output); -} -} // namespace - -NEDepthConcatenateKernel::NEDepthConcatenateKernel() - : _func(nullptr), _input(nullptr), _output(nullptr), _top_bottom(0), _left_right(0), _depth_offset(0) -{ -} - -BorderSize NEDepthConcatenateKernel::border_size() const -{ - return BorderSize(_top_bottom, _left_right); -} - -void NEDepthConcatenateKernel::configure(const ITensor *input, unsigned int depth_offset, ITensor *output) -{ - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QS8, DataType::QS16, DataType::F16, DataType::F32); - ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); - ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT_POSITION(input, output); - ARM_COMPUTE_ERROR_ON(input->info()->dimension(2) + depth_offset > output->info()->dimension(2)); - ARM_COMPUTE_ERROR_ON(input->info()->dimension(0) > output->info()->dimension(0)); - ARM_COMPUTE_ERROR_ON(input->info()->dimension(1) > output->info()->dimension(1)); - ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(3, input, output); - - // The gaps between the two lowest dimensions of input and output need to be divisible by 2 - // Otherwise it is not clear how the padding should be added onto the input tensor - ARM_COMPUTE_ERROR_ON((output->info()->dimension(0) - input->info()->dimension(0)) % 2); - ARM_COMPUTE_ERROR_ON((output->info()->dimension(1) - input->info()->dimension(1)) % 2); - - _func = nullptr; - _input = input; - _output = output; - _depth_offset = depth_offset; - _left_right = (output->info()->dimension(0) - input->info()->dimension(0)) / 2; - _top_bottom = (output->info()->dimension(1) - input->info()->dimension(1)) / 2; - - switch(input->info()->data_type()) - { - case DataType::QS8: - _func = &depth_concat<uint8_t>; - break; - case DataType::QS16: - case DataType::F16: - _func = &depth_concat<uint16_t>; - break; - case DataType::F32: - _func = &depth_concat<uint32_t>; - break; - default: - ARM_COMPUTE_ERROR("Unsupported data type."); - } - - const unsigned int num_elems_processed_per_iteration = 16 / input->info()->element_size(); - const unsigned int num_elems_read_per_iteration = 16 / input->info()->element_size(); - const unsigned int num_rows_read_per_iteration = 1; - - // The window needs to be based on input as we copy all the depths of input - Window win = calculate_max_window(*output->info(), Steps(num_elems_processed_per_iteration)); - win.set(Window::DimZ, Window::Dimension(0, input->info()->tensor_shape().z(), 1)); - - AccessWindowRectangle input_access(input->info(), -_left_right, -_top_bottom, num_elems_read_per_iteration, num_rows_read_per_iteration); - AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration); - update_window_and_padding(win, input_access, output_access); - output_access.set_valid_region(win, ValidRegion(Coordinates(0, 0), output->info()->tensor_shape())); - - INEKernel::configure(win); -} - -void NEDepthConcatenateKernel::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); - ARM_COMPUTE_ERROR_ON(_func == nullptr); - - (*_func)(_input, _output, std::make_pair(_left_right, _top_bottom), _depth_offset, window); -} |