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Diffstat (limited to 'src/core/NEON/kernels/NEGEMMInterleaveBlockedKernel.cpp')
| -rw-r--r-- | src/core/NEON/kernels/NEGEMMInterleaveBlockedKernel.cpp | 131 |
1 files changed, 131 insertions, 0 deletions
diff --git a/src/core/NEON/kernels/NEGEMMInterleaveBlockedKernel.cpp b/src/core/NEON/kernels/NEGEMMInterleaveBlockedKernel.cpp new file mode 100644 index 0000000000..a9c624abd0 --- /dev/null +++ b/src/core/NEON/kernels/NEGEMMInterleaveBlockedKernel.cpp @@ -0,0 +1,131 @@ +/* + * 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 +{ +inline void gemm_interleave_8bit_elements(const ITensor *input, ITensor *output, const Window &window, unsigned int block_width, unsigned int block_height, bool transpose) +{ + const size_t in_stride = input->info()->strides_in_bytes()[1]; + 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 & id) + { + int j = 0; + for(unsigned int z = 0; z < block_height; ++z) + { + for(unsigned int b = 0; b < block_width; ++b) + { + if(!transpose) + { + const bool inbounds = (id.x() + b) < input->info()->dimension(0) && (id.y() + z) < input->info()->dimension(1); + *(out.ptr() + j++) = (inbounds) ? *(in.ptr() + z * in_stride + b) : 0; + } + else + { + const bool inbounds = (id.x() + b) < input->info()->dimension(1) && (id.y() + z) < input->info()->dimension(0); + const uint8_t value = (inbounds) ? *(input->buffer() + (id.x() + b) * in_stride + (id.y() + z)) : 0; + *(out.ptr() + j++) = value; + } + } + } + }, + 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_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8); + ARM_COMPUTE_ERROR_ON_NULLPTR(output); + ARM_COMPUTE_ERROR_ON_MSG(block_height < 1, "Block height must be greater than 0"); + ARM_COMPUTE_ERROR_ON_MSG(block_width < 1, "Block window must be greater than 0"); + + TensorShape output_shape = input->info()->tensor_shape(); + const float interleave_by_f32 = block_height; + output_shape.set(0, input->info()->dimension(0) * interleave_by_f32); + output_shape.set(1, std::ceil(static_cast<float>(input->info()->dimension(1)) / interleave_by_f32)); + // Output auto inizialitation if not yet initialized + auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type(), input->info()->fixed_point_position()); + ARM_COMPUTE_ERROR_ON_MISMATCHING_DIMENSIONS(output->info()->tensor_shape(), output_shape); + ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); + ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(input, output); + + _input = input; + _output = output; + _block_height = block_height; + _block_width = block_width; + _transpose = transpose; + + const unsigned int num_elems_processed_per_iteration_x = block_width; + const unsigned int num_elems_processed_per_iteration_y = block_height; + + // Configure kernel window + Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y)); + const float scaley_factor = 1.f / interleave_by_f32; + + AccessWindowRectangle output_access(output->info(), 0, 0, num_elems_processed_per_iteration_x * num_elems_processed_per_iteration_y, 1, num_elems_processed_per_iteration_y, scaley_factor); + AccessWindowRectangle input_access(input->info(), 0, 0, num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y); + update_window_and_padding(win, output_access, input_access); + + output_access.set_valid_region(win, input->info()->valid_region()); + + INEKernel::configure(win); +} + +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); + gemm_interleave_8bit_elements(_input, _output, window, _block_width, _block_height, _transpose); +} |