| /* |
| * 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/NEGEMMInterleaveBlockedKernel.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/Types.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/core/Window.h" |
| |
| #include <arm_neon.h> |
| #include <cstddef> |
| #include <cstdint> |
| #include <tuple> |
| |
| using namespace arm_compute; |
| |
| namespace |
| { |
| TensorShape get_output_shape(const ITensorInfo *input, unsigned int block_height) |
| { |
| TensorShape output_shape = input->tensor_shape(); |
| const float interleave_by_f32 = block_height; |
| output_shape.set(0, input->dimension(0) * interleave_by_f32); |
| output_shape.set(1, std::ceil(static_cast<float>(input->dimension(1)) / interleave_by_f32)); |
| return output_shape; |
| } |
| |
| Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, unsigned int block_width, unsigned int block_height) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8); |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(block_height < 1, "Block height must be greater than 0"); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(block_width < 1, "Block window must be greater than 0"); |
| |
| if(output->total_size() != 0) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(output->tensor_shape(), get_output_shape(input, block_height)); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input, output); |
| } |
| |
| return Status{}; |
| } |
| |
| std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, unsigned int block_width, unsigned int block_height) |
| { |
| const unsigned int num_elems_processed_per_iteration_x = block_width; |
| const unsigned int num_elems_processed_per_iteration_y = block_height; |
| bool window_changed = false; |
| |
| // Configure kernel window |
| Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y)); |
| const float scaley_factor = 1.f / block_height; |
| |
| AccessWindowRectangle input_access(input, 0, 0, num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y); |
| window_changed = window_changed || update_window_and_padding(win, input_access); |
| |
| // Configure window in case of configured output |
| if(output->total_size() != 0) |
| { |
| AccessWindowRectangle output_access(output, |
| 0, 0, |
| num_elems_processed_per_iteration_x * num_elems_processed_per_iteration_y, |
| 1, num_elems_processed_per_iteration_y, scaley_factor); |
| window_changed = window_changed || update_window_and_padding(win, output_access); |
| output_access.set_valid_region(win, input->valid_region()); |
| } |
| |
| Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; |
| return std::make_pair(err, win); |
| } |
| |
| inline void gemm_interleave_blocked_transposed_8bit(const ITensor *input, ITensor *output, const Window &window, unsigned int block_width, unsigned int block_height) |
| { |
| const size_t in_stride = input->info()->strides_in_bytes()[1]; |
| |
| const unsigned int in_height = input->info()->dimension(1); |
| const unsigned int in_width = input->info()->dimension(0); |
| |
| const float scale_y_factor = 1.f / float(block_height); |
| |
| // Set window for output tensor |
| Window win_out(window); |
| win_out.scale(Window::DimY, scale_y_factor); |
| Iterator in(input, window); |
| |
| win_out.set_dimension_step(Window::DimX, block_width * block_height); |
| Iterator out(output, win_out); |
| |
| execute_window_loop(window, [&](const Coordinates &) |
| { |
| std::fill_n(out.ptr(), block_width * block_height, 0); |
| }, |
| out); |
| |
| execute_window_loop(window, [&](const Coordinates & id) |
| { |
| for(unsigned int z = id.y(); (z < in_width) && z < (id.y() + block_height); ++z) |
| { |
| int j = (z - id.y()) * block_width; |
| for(unsigned int b = id.x(); (b < in_height) && (b < (id.x() + block_width)); ++b) |
| { |
| *(out.ptr() + j++) = *(input->buffer() + b * in_stride + z); |
| } |
| } |
| }, |
| in, out); |
| } |
| |
| inline void gemm_interleave_blocked_8bit(const ITensor *input, ITensor *output, const Window &window, unsigned int block_width, unsigned int block_height) |
| { |
| const size_t in_stride = input->info()->strides_in_bytes()[1]; |
| |
| const unsigned int in_height = input->info()->dimension(1); |
| const unsigned int in_width = input->info()->dimension(0); |
| |
| const float scale_y_factor = 1.f / float(block_height); |
| |
| // Set window for output tensor |
| Window win_out(window); |
| win_out.scale(Window::DimY, scale_y_factor); |
| Iterator in(input, window); |
| |
| win_out.set_dimension_step(Window::DimX, block_width * block_height); |
| Iterator out(output, win_out); |
| |
| execute_window_loop(window, [&](const Coordinates &) |
| { |
| std::fill_n(out.ptr(), block_width * block_height, 0); |
| }, |
| out); |
| |
| execute_window_loop(window, [&](const Coordinates & id) |
| { |
| for(unsigned int z = id.y(); (z < in_height) && z < (id.y() + block_height); ++z) |
| { |
| int j = (z - id.y()) * block_width; |
| for(unsigned int b = id.x(); (b < in_width) && (b < (id.x() + block_width)); ++b) |
| { |
| *(out.ptr() + j++) = *(input->buffer() + z * in_stride + b); |
| } |
| } |
| }, |
| in, out); |
| } |
| } // namespace |
| |
| NEGEMMInterleaveBlockedKernel::NEGEMMInterleaveBlockedKernel() |
| : _block_height(0), _block_width(0), _transpose(false) |
| { |
| } |
| |
| void NEGEMMInterleaveBlockedKernel::configure(const ITensor *input, ITensor *output, unsigned int block_height, unsigned int block_width, bool transpose) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| |
| // Output auto inizialitation if not yet initialized |
| auto_init_if_empty(*output->info(), get_output_shape(input->info(), block_height), 1, input->info()->data_type(), input->info()->fixed_point_position()); |
| |
| // Perform validation step |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), block_width, block_height)); |
| |
| _input = input; |
| _output = output; |
| _block_height = block_height; |
| _block_width = block_width; |
| _transpose = transpose; |
| |
| // Configure kernel window |
| auto win_config = validate_and_configure_window(input->info(), output->info(), block_width, block_height); |
| ARM_COMPUTE_ERROR_THROW_ON(win_config.first); |
| INEKernel::configure(win_config.second); |
| } |
| |
| Status NEGEMMInterleaveBlockedKernel::validate(const ITensorInfo *input, const ITensorInfo *output, unsigned int block_height, unsigned int block_width, bool transpose) |
| { |
| ARM_COMPUTE_UNUSED(transpose); |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, block_width, block_height)); |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(), block_width, block_height).first); |
| |
| return Status{}; |
| } |
| |
| void NEGEMMInterleaveBlockedKernel::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(_transpose) |
| { |
| gemm_interleave_blocked_transposed_8bit(_input, _output, window, _block_width, _block_height); |
| } |
| else |
| { |
| gemm_interleave_blocked_8bit(_input, _output, window, _block_width, _block_height); |
| } |
| } |