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+/*
+ * 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_local.hpp"
+#include "pool_common.hpp"
+
+namespace arm_conv
+{
+namespace pooling
+{
+struct PoolingConfig
+{
+ PoolingMethod method = PoolingMethod::DEFAULT;
+ std::string filter = "";
+
+ PoolingConfig(PoolingMethod method) : method(method){};
+ PoolingConfig(){};
+};
+
+struct PoolingArgs
+{
+ const CPUInfo *cpu_info;
+
+ PoolingType pool_type;
+ PoolingWindow pool_window;
+ PoolingStride pool_stride;
+ bool exclude_padding;
+
+ unsigned int n_batches, input_rows, input_cols, n_channels;
+ unsigned int output_rows, output_cols;
+
+ PaddingValues padding;
+
+ const PoolingConfig *config;
+
+ PoolingArgs(const CPUInfo *cpu_info,
+ PoolingType pool_type,
+ const PoolingWindow &window,
+ const PoolingStride &stride,
+ bool exclude_padding,
+ unsigned int n_batches,
+ unsigned int input_rows,
+ unsigned int input_cols,
+ unsigned int n_channels,
+ unsigned int output_rows,
+ unsigned int output_cols,
+ const PaddingValues &padding,
+ const PoolingConfig *cfg)
+ : cpu_info(cpu_info),
+ pool_type(pool_type),
+ pool_window(window),
+ pool_stride(stride),
+ exclude_padding(exclude_padding),
+ n_batches(n_batches),
+ input_rows(input_rows),
+ input_cols(input_cols),
+ n_channels(n_channels),
+ output_rows(output_rows),
+ output_cols(output_cols),
+ padding(padding),
+ config(cfg)
+ {
+ // If either of the pooling window dimensions are set to zero, meaning
+ // "pool everything", then replace with the corresponding input dimension.
+ if (pool_window.rows == 0)
+ {
+ pool_window.rows = input_rows;
+ }
+ if (pool_window.cols == 0)
+ {
+ pool_window.cols = input_cols;
+ }
+ }
+};
+
+struct Nothing
+{
+};
+
+struct Requantize32
+{
+ int32_t input_offset = 0;
+ int32_t output_offset = 0;
+
+ int32_t per_layer_left_shift = 0;
+ int32_t per_layer_right_shift = 0;
+ int32_t per_layer_mul = 0;
+
+ Requantize32(int32_t input_offset,
+ int32_t output_offset,
+ int32_t per_layer_left_shift,
+ int32_t per_layer_right_shift,
+ int32_t per_layer_mul)
+ : input_offset(input_offset),
+ output_offset(output_offset),
+ per_layer_left_shift(per_layer_left_shift),
+ per_layer_right_shift(per_layer_right_shift),
+ per_layer_mul(per_layer_mul)
+ {
+ }
+};
+
+template <typename TInput, typename TOutput>
+class PoolingCommon : public IPoolingCommon
+{
+protected:
+ const PoolingArgs m_args;
+
+public:
+ PoolingCommon(const PoolingArgs &args) : m_args(args)
+ {
+ }
+ PoolingCommon(PoolingCommon &) = delete;
+ PoolingCommon &operator=(PoolingCommon &) = delete;
+
+ size_t get_working_size(unsigned int) const override = 0;
+
+ // Execute pooling over the specified area of memory.
+ void execute(const void *const input,
+ void *const output,
+ void *working_space,
+ unsigned int thread_id,
+ unsigned int num_threads) const override
+ {
+ this->execute(input, m_args.n_channels, m_args.n_channels * m_args.input_cols,
+ m_args.n_channels * m_args.input_cols * m_args.input_rows, output, m_args.n_channels,
+ m_args.n_channels * m_args.output_cols,
+ m_args.n_channels * m_args.output_cols * m_args.output_rows, working_space, thread_id,
+ num_threads);
+ }
+
+ void execute(const void *const input,
+ size_t ld_input_col,
+ size_t ld_input_row,
+ size_t ld_input_batch,
+ void *const 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 num_threads) const override
+ {
+ this->execute(m_args.n_batches, m_args.input_rows, m_args.input_cols, m_args.n_channels, input, ld_input_col,
+ ld_input_row, ld_input_batch, m_args.padding, m_args.output_rows, m_args.output_cols, output,
+ ld_output_col, ld_output_row, ld_output_batch, working_space, thread_id, num_threads);
+ }
+
+ void execute(unsigned int batches,
+ unsigned int height,
+ unsigned int width,
+ unsigned int channels,
+ const void *const input,
+ size_t ld_input_col,
+ size_t ld_input_row,
+ size_t ld_input_batch,
+ const PaddingValues &padding,
+ unsigned int output_height,
+ unsigned int output_width,
+ void *const 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 num_threads) const override
+ {
+ this->execute_internal(batches, height, width, channels, padding, input, ld_input_col, ld_input_row,
+ ld_input_batch, output_height, output_width, output, ld_output_col, ld_output_row,
+ ld_output_batch, working_space, thread_id, num_threads);
+ }
+
+protected:
+ virtual void execute_internal(unsigned int batches,
+ unsigned int height,
+ unsigned int width,
+ unsigned int channels,
+ const PaddingValues &,
+ const void *const input,
+ size_t ld_input_col,
+ size_t ld_input_row,
+ size_t ld_input_batch,
+ unsigned int output_height,
+ unsigned int output_width,
+ void *const 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 num_threads) const = 0;
+};
+
+template <typename TInput, typename TOutput>
+using UniquePoolingCommon = std::unique_ptr<PoolingCommon<TInput, TOutput>>;
+
+// Get a pooling engine
+template <typename TInput, typename TOutput = TInput, class OutputStage = Nothing>
+UniquePoolingCommon<TInput, TOutput> pooling(const PoolingArgs &, const OutputStage & = {});
+
+} // namespace pooling
+} // namespace arm_conv