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/*
* Copyright (c) 2021 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"
#include <memory>
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 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 OutputStage = Nothing>
using UniquePoolingCommon = std::unique_ptr<PoolingCommon<TInput, TOutput, OutputStage>>;
// Get a pooling engine
template <typename TInput, typename TOutput = TInput, class OutputStage = Nothing>
UniquePoolingCommon<TInput, TOutput, OutputStage> pooling(const PoolingArgs &, const OutputStage & = {});
} // namespace pooling
} // namespace arm_conv
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