84 lines
2.0 KiB
C
84 lines
2.0 KiB
C
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/*
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* Copyright (c) 2018-2020
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* Jianjia Ma
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* majianjia@live.com
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*
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* SPDX-License-Identifier: Apache-2.0
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*
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* Change Logs:
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* Date Author Notes
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* 2020-05-03 Jianjia Ma The first version
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*/
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#ifndef __NNOM_CONV2D_H__
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#define __NNOM_CONV2D_H__
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#ifdef __cplusplus
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extern "C" {
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#endif
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#include <stdint.h>
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#include <string.h>
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#include <stdbool.h>
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#include "nnom.h"
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#include "nnom_layers.h"
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#include "nnom_local.h"
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#include "nnom_tensor.h"
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// child layers parameters
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typedef struct _nnom_conv2d_layer_t
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{
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nnom_layer_t super;
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nnom_3d_shape_t kernel;
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nnom_3d_shape_t stride;
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nnom_3d_shape_t pad;
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nnom_3d_shape_t dilation;
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nnom_padding_t padding_type;
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uint32_t filter_mult; // filter size (for conv) or multilplier (for depthwise)
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nnom_tensor_t *weight;
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nnom_tensor_t *bias;
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// test
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nnom_qformat_param_t * output_rshift;
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nnom_qformat_param_t * bias_lshift;
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} nnom_conv2d_layer_t;
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// a machine interface for configuration
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typedef struct _nnom_conv2d_config_t
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{
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nnom_layer_config_t super;
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nnom_qtype_t qtype; //quantisation type(per channel or per layer)
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nnom_tensor_t *weight;
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nnom_tensor_t *bias;
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nnom_qformat_param_t *output_shift;
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nnom_qformat_param_t *bias_shift;
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uint32_t filter_size;
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int8_t kernel_size[2];
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int8_t stride_size[2];
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int8_t padding_size[2];
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int8_t dilation_size[2];
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nnom_padding_t padding_type;
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} nnom_conv2d_config_t;
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// method
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nnom_status_t conv2d_run(nnom_layer_t *layer);
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nnom_status_t conv2d_build(nnom_layer_t *layer);
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nnom_status_t conv2d_free(nnom_layer_t *layer);
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// utils
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uint32_t conv_output_length(uint32_t input_length, uint32_t filter_size, nnom_padding_t padding, uint32_t stride, uint32_t dilation);
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// API
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nnom_layer_t *conv2d_s(const nnom_conv2d_config_t *config);
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nnom_layer_t *Conv2D(uint32_t filters, nnom_3d_shape_t k, nnom_3d_shape_t s, nnom_3d_shape_t d, nnom_padding_t pad_type,
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const nnom_weight_t *w, const nnom_bias_t *b);
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#ifdef __cplusplus
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}
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#endif
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#endif /* __NNOM_CONV2D_H__ */
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