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Diffstat (limited to 'src/core/NEON/kernels/assembly/depthwise.hpp')
| -rw-r--r-- | src/core/NEON/kernels/assembly/depthwise.hpp | 351 |
1 files changed, 351 insertions, 0 deletions
diff --git a/src/core/NEON/kernels/assembly/depthwise.hpp b/src/core/NEON/kernels/assembly/depthwise.hpp new file mode 100644 index 0000000000..13c2d314e4 --- /dev/null +++ b/src/core/NEON/kernels/assembly/depthwise.hpp @@ -0,0 +1,351 @@ +/* + * Copyright (c) 2021-2023 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. + */ + +#pragma once + +#include "arm_gemm.hpp" +#include "arm_gemm_local.hpp" +#include "depthwise_common.hpp" +#include "premultiply.hpp" + +namespace arm_conv +{ +namespace depthwise +{ +struct DepthwiseConfig +{ + DepthwiseMethod method = DepthwiseMethod::DEFAULT; + std::string filter = ""; + + DepthwiseConfig(DepthwiseMethod method) : method(method){}; + DepthwiseConfig(){}; +}; + +struct DepthwiseArgs +{ + const CPUInfo *cpu_info; + + unsigned int kernel_rows, kernel_cols; + unsigned int stride_rows, stride_cols; + unsigned int dilation_rows, dilation_cols; + + unsigned int n_batches, input_rows, input_cols, input_channels; + unsigned int output_rows, output_cols; + unsigned int channel_multiplier; + + PaddingValues padding; + + arm_gemm::Activation activation; + + const DepthwiseConfig *config; + + bool fast_mode = false; + + DepthwiseArgs(const CPUInfo *cpu_info, + unsigned int kernel_rows, + unsigned int kernel_cols, + unsigned int stride_rows, + unsigned int stride_cols, + unsigned int dilation_rows, + unsigned int dilation_cols, + unsigned int n_batches, + unsigned int input_rows, + unsigned int input_cols, + unsigned int input_channels, + unsigned int output_rows, + unsigned int output_cols, + unsigned int channel_multiplier, + PaddingValues padding, + arm_gemm::Activation activation, + + const DepthwiseConfig *config) + : cpu_info(cpu_info), + kernel_rows(kernel_rows), + kernel_cols(kernel_cols), + stride_rows(stride_rows), + stride_cols(stride_cols), + dilation_rows(dilation_rows), + dilation_cols(dilation_cols), + n_batches(n_batches), + input_rows(input_rows), + input_cols(input_cols), + input_channels(input_channels), + output_rows(output_rows), + output_cols(output_cols), + channel_multiplier(channel_multiplier), + padding(padding), + activation(activation), + config(config) + { + } + + DepthwiseArgs(const CPUInfo *cpu_info, + unsigned int kernel_rows, + unsigned int kernel_cols, + unsigned int stride_rows, + unsigned int stride_cols, + unsigned int n_batches, + unsigned int input_rows, + unsigned int input_cols, + unsigned int input_channels, + unsigned int output_rows, + unsigned int output_cols, + unsigned int channel_multiplier, + PaddingValues padding, + arm_gemm::Activation activation, + const DepthwiseConfig *config) + : DepthwiseArgs(cpu_info, + kernel_rows, + kernel_cols, + stride_rows, + stride_cols, + 1, + 1, + n_batches, + input_rows, + input_cols, + input_channels, + output_rows, + output_cols, + channel_multiplier, + padding, + activation, + config) + { + } +}; + +template <typename TInput> +struct Tile +{ + TInput *array; + + unsigned int tile_rows = 0; + unsigned int tile_cols = 0; + unsigned int tile_channels = 0; + + Tile(TInput *array, unsigned int tile_rows, unsigned int tile_cols, unsigned int tile_channels) + : array(array), tile_rows(tile_rows), tile_cols(tile_cols), tile_channels(tile_channels) + { + } + + Tile() : Tile(nullptr, 0, 0, 0) + { + } + + void load_from(const TInput *input, + const unsigned int ld_row, + const unsigned int ld_col, + const unsigned int n_rows, + const unsigned int n_cols, + const int input_i, + const int input_j, + const unsigned int channel_multiplier) const + { + const auto pad_top = input_i < 0 ? -input_i : 0; + const auto pad_left = input_j < 0 ? -input_j : 0; + + const auto padded_rows = std::min(n_rows - input_i, tile_rows) - pad_top; + const auto padded_cols = std::min(n_cols - input_j, tile_cols) - pad_left; + + if (padded_rows < tile_rows || padded_cols < tile_cols) + { + memset(array, 0, tile_rows * tile_cols * tile_channels * sizeof(TInput)); + } + + do_premultiply<TInput>((TInput *)input + std::max(input_i, 0) * ld_row + std::max(input_j, 0) * ld_col, ld_row, + ld_col, array + pad_top * tile_cols * tile_channels + pad_left * tile_channels, + tile_cols * tile_channels, tile_channels, padded_rows, padded_cols, + tile_channels / channel_multiplier, channel_multiplier); + } +}; + +template <typename TInput, typename TWeight, typename TOutput> +class DepthwiseCommon : public IDepthwiseCommon +{ +protected: + const DepthwiseArgs m_args; // Copy of arguments + std::string m_name{}; + +public: + DepthwiseCommon(const DepthwiseArgs &args) : m_args(args){}; + DepthwiseCommon(DepthwiseCommon &) = delete; + DepthwiseCommon &operator=(DepthwiseCommon &) = delete; + + std::string name() const override + { + return m_name; + } + + void set_name(std::string name) + { + // Only allow the name to be set once + if (m_name.empty()) + { + m_name = name; + } + } + + void execute(const void *const input, + const void *const parameters, + void *const output, + void *const working_space, + const unsigned int thread_id, + const unsigned int n_threads) const override final + { + const size_t ld_input_col = m_args.input_channels; + const size_t ld_input_row = ld_input_col * m_args.input_cols; + const size_t ld_input_batch = ld_input_row * m_args.input_rows; + const size_t ld_output_col = m_args.input_channels * m_args.channel_multiplier; + const size_t ld_output_row = ld_output_col * m_args.output_cols; + const size_t ld_output_batch = ld_output_row * m_args.output_rows; + + execute(input, ld_input_col, ld_input_row, ld_input_batch, parameters, output, ld_output_col, ld_output_row, + ld_output_batch, working_space, thread_id, n_threads); + } + + void execute(const void *const input, + size_t ld_input_col, + size_t ld_input_row, + size_t ld_input_batch, + const void *const parameters, + void *const output, + size_t ld_output_col, + size_t ld_output_row, + size_t ld_output_batch, + void *const working_space, + const unsigned int thread_id, + const unsigned int n_threads) const override final + { + execute(m_args.n_batches, m_args.input_rows, m_args.input_cols, m_args.input_channels, m_args.padding, input, + ld_input_col, ld_input_row, ld_input_batch, parameters, m_args.output_rows, m_args.output_cols, output, + ld_output_col, ld_output_row, ld_output_batch, working_space, thread_id, n_threads); + } + + void execute(unsigned int batches, + unsigned int input_height, + unsigned int input_width, + unsigned int channels, + const PaddingValues &padding, + const void *input, + size_t ld_input_col, + size_t ld_input_row, + size_t ld_input_batch, + const void *parameters, + unsigned int output_height, + unsigned int output_width, + void *output, + size_t ld_output_col, + size_t ld_output_row, + size_t ld_output_batch, + void *working_space, + unsigned int thread_id, + unsigned int n_threads) const override final + { + // Construct a new set of arguments to reflect that we might have been + // passed different input/output tensors. Dilation is handled at this + // level; so we set the dilation in the arguments to zero. + DepthwiseArgs args(this->m_args); + args.n_batches = batches; + args.input_rows = input_height; + args.input_cols = input_width; + args.input_channels = channels; + args.output_rows = output_height; + args.output_cols = output_width; + args.padding = padding; + args.dilation_rows = args.dilation_cols = 1; + + auto ld_input_col_d = ld_input_col * m_args.dilation_cols; + auto ld_input_row_d = ld_input_row * m_args.dilation_rows; + auto ld_output_col_d = ld_output_col * m_args.dilation_cols; + auto ld_output_row_d = ld_output_row * m_args.dilation_rows; + + for (size_t drow = 0; drow < m_args.dilation_rows; drow++) + { + size_t start_i; + std::tie(args.output_rows, args.input_rows, start_i, args.padding.top, args.padding.bottom) = + get_reduced_view_for_dilation(output_height, input_height, drow, m_args.dilation_rows, + m_args.kernel_rows, m_args.stride_rows, padding.top); + + auto input_row = static_cast<const TInput *>(input) + start_i * ld_input_row; + auto output_row = static_cast<TOutput *>(output) + drow * ld_output_row; + + if (args.output_rows) + { + for (size_t dcol = 0; dcol < m_args.dilation_cols; dcol++) + { + size_t start_j; + std::tie(args.output_cols, args.input_cols, start_j, args.padding.left, args.padding.right) = + get_reduced_view_for_dilation(output_width, input_width, dcol, m_args.dilation_cols, + m_args.kernel_cols, m_args.stride_cols, padding.left); + + const TInput *input_col = input_row + start_j * ld_input_col; + TOutput *output_col = output_row + dcol * ld_output_col; + + if (args.output_cols) + { + this->execute_internal(args, input_col, ld_input_col_d, ld_input_row_d, ld_input_batch, + parameters, output_col, ld_output_col_d, ld_output_row_d, + ld_output_batch, working_space, thread_id, n_threads); + } + } + } + } + } + +protected: + virtual void execute_internal(const DepthwiseArgs &instance_args, + const void *input, + size_t ld_input_col, + size_t ld_input_row, + size_t ld_input_batch, + const void *parameters, + void *output, + size_t ld_output_col, + size_t ld_output_row, + size_t ld_output_batch, + void *working_space, + unsigned int thread_id, + unsigned int n_threads) const = 0; + + virtual bool uses_premultiply() const + { + return true; + } +}; + +template <typename TInput, typename TWeight = TInput, typename TOutput = TInput> +using UniqueDepthwiseCommon = std::unique_ptr<DepthwiseCommon<TInput, TWeight, TOutput>>; + +template <typename TInput, typename TWeight = TInput, typename TOutput = TInput, class OutputStage = Nothing> +KernelDescription get_depthwise_method(const DepthwiseArgs &, const OutputStage & = {}); + +template <typename TInput, typename TWeight = TInput, typename TOutput = TInput, class OutputStage = Nothing> +UniqueDepthwiseCommon<TInput, TWeight, TOutput> depthwise(const DepthwiseArgs &, const OutputStage & = {}); + +template <typename TInput, typename TWeight = TInput, typename TOutput = TInput, class OutputStage = Nothing> +std::vector<KernelDescription> get_compatible_kernels(const DepthwiseArgs &, const OutputStage & = {}); + +} // namespace depthwise +} // namespace arm_conv |