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787 lines
25 KiB
C
Executable File
787 lines
25 KiB
C
Executable File
/**
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******************************************************************************
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* @file ai_platform_interface.h
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* @author AST Embedded Analytics Research Platform
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* @date 02-Aug-2018
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* @brief Definitions of AI platform interface APIs types
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******************************************************************************
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* @attention
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*
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* <h2><center>© Copyright (c) 2018 STMicroelectronics.
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* All rights reserved.</center></h2>
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*
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* This software component is licensed by ST under Ultimate Liberty license
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* SLA0044, the "License"; You may not use this file except in compliance with
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* the License. You may obtain a copy of the License at:
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* www.st.com/SLA0044
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*
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******************************************************************************
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*/
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#ifndef __AI_PLATFORM_INTERFACE_H__
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#define __AI_PLATFORM_INTERFACE_H__
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#pragma once
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#include "ai_platform.h"
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#include "datatypes_network.h"
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#include "ai_datatypes_format.h"
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/*!
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* @defgroup datatypes_interface Interface Datatypes
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* @brief Data structures and defines used to implement neural networks
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*/
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#define AI_PLATFORM_INTERFACE_API_MAJOR 1
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#define AI_PLATFORM_INTERFACE_API_MINOR 3
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#define AI_PLATFORM_INTERFACE_API_MICRO 0
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/******************************************************************************/
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#define AI_ERROR_TRAP(net_, type_, code_) \
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ai_platform_network_set_error((net_), AI_CONCAT(AI_ERROR_,type_), \
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AI_CONCAT(AI_ERROR_CODE_,code_))
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/*! AI_PTR HANDLERS SECTION ************************************/
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#define AI_PTR(ptr_) ((ai_ptr)(ptr_))
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#define AI_PTR_CONST(ptr_) ((ai_ptr_const)(ptr_))
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/*! STATIC ARRAYS ALLOCATOR SECTION ************************************/
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#define AI_PACK_STORAGE_ARRAY(type_, dim_, ...) \
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(type_[dim_]) { AI_PACK(__VA_ARGS__) }
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/*! AI_STORAGE_KLASS SECTION ************************************/
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#define AI_STORAGE_KLASS_PACK(type_, dim_, ...) \
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AI_PACK_STORAGE_ARRAY(type_, dim_, __VA_ARGS__)
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#define AI_STORAGE_KLASS_INIT(type_, size_, data_) \
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{ \
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.type = (type_), \
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.size = (size_), \
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.data = (ai_handle)(data_), \
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}
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/*!
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* @enum ai_storage_klass_type
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* @ingroup ai_platform_interface
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* @brief @ref ai_storage_class types enum
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*/
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typedef enum {
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AI_STORAGE_KLASS_SHAPE = 0x0,
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AI_STORAGE_KLASS_STRIDE,
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AI_STORAGE_KLASS_FLOAT,
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AI_STORAGE_KLASS_U8,
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AI_STORAGE_KLASS_I8,
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AI_STORAGE_KLASS_U16,
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AI_STORAGE_KLASS_I16,
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AI_STORAGE_KLASS_U32,
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AI_STORAGE_KLASS_I32,
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AI_STORAGE_KLASS_U64,
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AI_STORAGE_KLASS_I64,
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} ai_storage_klass_type;
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/*!
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* @struct ai_storage_klass
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* @ingroup ai_platform_interface
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* @brief Generic "Template" klass for generic storage arrays containers
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* from this klass several typed containers are derived (see e.g. @ref ai_shape)
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*/
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AI_PACKED_STRUCT_START
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typedef AI_ALIGNED_TYPE(struct, 4) AI_PACKED ai_storage_klass_s {
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ai_u32 type : 8;
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ai_u32 size : 24;
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ai_handle data;
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} ai_storage_klass;
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AI_PACKED_STRUCT_END
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/*! AI_SHAPES SECTION ************************************/
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#define AI_SHAPE_2D_INIT(w_, h_) \
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{ .data = { (w_), (h_) } }
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#define AI_SHAPE_INIT(dim_, ...) \
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AI_STORAGE_KLASS_INIT( \
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AI_STORAGE_KLASS_SHAPE, \
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dim_, \
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AI_STORAGE_KLASS_PACK(ai_shape_dimension, dim_, ## __VA_ARGS__))
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#define AI_SHAPE_INIT_FROM_BUFFER(dim_, buffer_) \
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AI_STORAGE_KLASS_INIT( \
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AI_STORAGE_KLASS_SHAPE, \
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dim_, \
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buffer_)
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/*!
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* @enum ai_shape_type
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* @ingroup ai_platform_interface
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* @brief Codes for the 4D tensor dimensions
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*/
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typedef enum {
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AI_SHAPE_MAX_DIMENSION = 0x4,
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AI_SHAPE_HEIGHT = 0x3,
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AI_SHAPE_WIDTH = 0x2,
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AI_SHAPE_CHANNEL = 0x1,
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AI_SHAPE_IN_CHANNEL = 0x0,
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// AI_SHAPE_BATCH_CHANNEL = 0x4,
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} ai_shape_type;
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/*!
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* @struct ai_shape
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* @ingroup ai_platform_interface
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* @brief Dimensions for generic 4D tensors
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*/
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#if 1
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#if 0
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AI_PACKED_STRUCT_START
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typedef AI_ALIGNED_TYPE(struct, 4) AI_PACKED ai_shape_s {
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ai_u32 type : 8;
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ai_u32 size : 24;
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ai_shape_dimension data[AI_SHAPE_MAX_DIMENSION]; /*!< 4D tensor shape */
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} ai_shape;
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AI_PACKED_STRUCT_END
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#else
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typedef ai_storage_klass ai_shape;
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#endif
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#else
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AI_PACKED_STRUCT_START
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typedef AI_ALIGNED_TYPE(struct, 4) AI_PACKED ai_shape_s {
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ai_shape_dimension* dimension; /*!< ND tensor shape */
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} ai_shape;
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AI_PACKED_STRUCT_END
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#endif
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/*! AI_STRIDES HANDLERS SECTION ************************************/
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#define AI_STRIDE_INIT(dim_, ...) \
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AI_STORAGE_KLASS_INIT( \
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AI_STORAGE_KLASS_STRIDE, \
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dim_, \
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AI_STORAGE_KLASS_PACK(ai_stride_dimension, dim_, ## __VA_ARGS__))
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#define AI_STRIDE_INIT_FROM_BUFFER(dim_, buffer_) \
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AI_STORAGE_KLASS_INIT( \
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AI_STORAGE_KLASS_STRIDE, \
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dim_, \
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buffer_)
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/*!
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* @struct ai_stride
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* @ingroup ai_platform_interface
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* @brief Stride dimensions for generic 4D tensors (in number of elements)
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*/
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typedef ai_storage_klass ai_stride;
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/*! BASIC_TYPES HANDLERS SECTION ************************************/
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#define AI_SIZE(value_) \
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((ai_size)(value_))
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/*! AI_KLASS_OBJ HANDLERS SECTION ************************************/
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#define AI_KLASS_OBJ(obj_) \
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((ai_klass_obj)(obj_))
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/*! GENERIC HANDLERS SECTION ************************************/
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#define AI_OBJ_DATA(obj_, type_) \
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((type_)(obj_)->data)
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/*! AI_BUFFER HANDLERS SECTION ************************************/
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#define AI_BUFFER_OBJ(ptr) \
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((ai_buffer*)(ptr))
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/*! AI_ARRAY HANDLERS SECTION ************************************/
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#define AI_ARRAY_OBJ(ptr) \
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((ai_array*)(ptr))
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#define AI_ARRAY_OBJ_FMT(array_) \
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((ai_array_format)(AI_ARRAY_OBJ(array_)->format))
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#define AI_ARRAY_OBJ_SIZE(array_) \
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(AI_ARRAY_OBJ(array_)->size)
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#define AI_ARRAY_OBJ_BYTE_SIZE(array_) \
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AI_SIZE(AI_ARRAY_GET_BYTE_SIZE(AI_ARRAY_OBJ_FMT(array_), \
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AI_ARRAY_OBJ_SIZE(array_)))
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#define AI_ARRAY_OBJ_DATA_SIZE(array_) \
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AI_ARRAY_GET_DATA_BYTE_SIZE(AI_ARRAY_OBJ_FMT(array_), \
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AI_ARRAY_OBJ_SIZE(array_))
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#define AI_ARRAY_OBJ_DATA(array_, type_) \
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((type_*)(AI_ARRAY_OBJ(array_)->data))
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#define AI_ARRAY_OBJ_DATA_START(array_, type_) \
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((type_*)(AI_ARRAY_OBJ(array_)->data_start))
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#define AI_ARRAY_OBJ_ELEM(array_, type_, pos_) \
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AI_ARRAY_OBJ_DATA(array_, type_)[(pos_)]
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#define AI_ARRAY_OBJ_INIT_STATIC(type_, format_, size_, ...) { \
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.format = AI_FMT_OBJ(format_), \
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.size = (ai_array_size)(size_), \
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.data = (ai_ptr)((type_[]){ __VA_ARGS__ }), \
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.data_start = AI_PTR(0), \
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}
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#define AI_ARRAY_OBJ_INIT(format_, data_, data_start_, size_) { \
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.format = AI_FMT_OBJ(format_), \
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.size = (ai_array_size)(size_), \
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.data = AI_PTR(data_), \
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.data_start = AI_PTR(data_start_) }
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#define AI_ARRAY_OBJ_DECLARE_STATIC(name_, type_, format_, attr_, size_, ...) \
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AI_ALIGNED(4) \
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attr_ ai_array name_ = AI_ARRAY_OBJ_INIT_STATIC(type_, format_, size_, __VA_ARGS__);
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#define AI_ARRAY_OBJ_DECLARE(name_, format_, data_, data_start_, size_, attr_) \
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AI_ALIGNED(4) \
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attr_ ai_array name_ = AI_ARRAY_OBJ_INIT(format_, data_, data_start_, size_);
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/********************************* ai_array macros ***************************/
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#define AI_PACK_ARRAYS(...) \
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(ai_array[]) { AI_PACK(__VA_ARGS__) }
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#define AI_ARRAY_LIST_OBJ_INIT(arrays_ptr_) \
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((ai_array*)(arrays_ptr_))
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#define AI_ARRAY_LIST_FLAGS(list_) \
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( (list_) ? (list_)->flags : 0x0 )
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#define AI_ARRAY_LIST_SIZE(list_) \
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( (list_) ? (list_)->size : 0 )
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#define AI_ARRAY_LIST_DATA(list_, pos_) \
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( (list_) ? &((list_)->data[pos_]) : NULL )
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/********************************* ai_tensor macros **************************/
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#define AI_TENSOR_OBJ(obj_) \
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((ai_tensor*)(obj_))
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#define AI_TENSOR_INFO_OBJ_INIT(id_, flags_, data_size_) { \
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.id = (id_), \
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.flags = (flags_), \
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.data_size = (data_size_) \
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}
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#define AI_TENSOR_OBJ_INIT(id_, flags_, shape_, stride_, arrays_size_, arrays_ptr_, klass_obj_) { \
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.klass = (ai_klass_obj)(klass_obj_), \
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.info = AI_TENSOR_INFO_OBJ_INIT(id_, flags_, arrays_size_), \
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.shape = shape_, \
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.stride = stride_, \
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.data = AI_ARRAY_LIST_OBJ_INIT(AI_PACK(arrays_ptr_)), \
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}
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#define AI_TENSOR_OBJ_DECLARE(name_, attr_, id_, flags_, shape_, stride_, \
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arrays_size_, arrays_ptr_, klass_obj_) \
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AI_ALIGNED(4) \
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attr_ ai_tensor name_ = AI_TENSOR_OBJ_INIT(id_, flags_, AI_PACK(shape_), AI_PACK(stride_), \
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arrays_size_, AI_PACK(arrays_ptr_), AI_PACK(klass_obj_));
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/********************************* TENSOR STATE MACROS ***********************/
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#define AI_TENSOR_STATE_OBJ_INIT(end_ptr_ , curr_ptr_, stride_, size_) \
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{ (end_ptr_), (curr_ptr_), (stride_), (size_) }
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/********************************* TENSOR LIST MACROS ************************/
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#define AI_TENSOR_LIST_EMPTY \
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{ .size = 0, .flags = AI_FLAG_NONE, \
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.tensor = (ai_tensor*[]) { NULL }, .info = NULL \
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}
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#define AI_TENSOR_LIST_ENTRY(...) \
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{ .size = AI_NUMARGS(__VA_ARGS__), .flags = AI_FLAG_NONE, \
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.tensor = (ai_tensor*[]) { __VA_ARGS__ }, .info = NULL \
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}
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#define AI_TENSOR_LIST_OBJ_DECLARE(name_, attr_, ...) \
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AI_ALIGNED(4) \
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attr_ ai_tensor_list name_ = AI_TENSOR_LIST_ENTRY(__VA_ARGS__);
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/********************************* TENSOR LIST I/O MACROS ********************/
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#define AI_TENSOR_LIST_IO_ENTRY(flags_, size_, ...) \
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{ .size = (size_), .flags = (flags_), \
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.tensor = (ai_tensor*[]) { __VA_ARGS__ }, \
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.info = (ai_tensor_list_info[1]) { { \
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.buffer = (ai_buffer[size_])AI_STRUCT_INIT, \
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.state = (ai_tensor_state[size_])AI_STRUCT_INIT, \
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.meta = (ai_buffer_meta_info[size_])AI_STRUCT_INIT \
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} } \
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}
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/********************************* TENSOR CHAIN MACROS ***********************/
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#define AI_TENSOR_CHAIN_OBJ_INIT(flags_, size_, ...) \
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{ .size = (size_), .flags = (flags_), \
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.chain = (ai_tensor_list[]){ __VA_ARGS__ } }
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#define AI_TENSOR_CHAIN_OBJ_DECLARE(name_, attr_, size_, ...) \
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AI_ALIGNED(4) \
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attr_ ai_tensor_chain name_ = \
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AI_TENSOR_CHAIN_OBJ_INIT(AI_FLAG_NONE, size_, __VA_ARGS__);
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/********************************* TENSOR CHAIN I/O MACROS *******************/
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#define AI_TENSOR_CHAIN_IO_OBJ_INIT(flags_, in_tensor_list_, out_tensor_list_) \
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{ .chain = (ai_tensor_list[]){ in_tensor_list_, out_tensor_list_ }, \
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.size = 2, .flags = (flags_) }
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#define AI_TENSOR_CHAIN_IO_OBJ_DECLARE( \
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name_, attr_, flags_, in_tensor_list_, out_tensor_list_) \
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AI_ALIGNED(4) \
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attr_ ai_tensor_chain_io name_ = \
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AI_TENSOR_CHAIN_IO_OBJ_INIT(flags_, in_tensor_list_, out_tensor_list_);
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/******************************* NETWORK SECTION ****************************/
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#define AI_NETWORK_OBJ(obj_) \
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((ai_network*)(obj_))
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#define AI_NETWORK_OBJ_INIT( \
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weights_buffer_, activations_buffer_, \
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in_tensor_list_ptr_, out_tensor_list_ptr_, \
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in_node_ptr_, signature_, klass_obj_) { \
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.magic = 0x0, \
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.signature = signature_, \
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.klass = AI_KLASS_OBJ(klass_obj_), \
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.flags = AI_FLAG_NONE, \
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.error = AI_ERROR_INIT(NONE, NONE), \
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.n_batches = 0, \
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.batch_id = 0, \
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.params = weights_buffer_, \
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.activations = activations_buffer_, \
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.tensors = AI_TENSOR_CHAIN_IO_OBJ_INIT(AI_FLAG_NONE, \
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AI_PACK(in_tensor_list_ptr_), \
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AI_PACK(out_tensor_list_ptr_)), \
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.input_node = AI_NODE_OBJ(in_node_ptr_), \
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.current_node = AI_NODE_OBJ(NULL), \
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}
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#define AI_NETWORK_OBJ_DECLARE( \
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name_, attr_, \
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weights_buffer_, activations_buffer_, \
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in_tensor_list_ptr_, out_tensor_list_ptr_, \
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in_node_ptr_, signature_, klass_obj_) \
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AI_ALIGNED(4) \
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attr_ ai_network name_ = AI_NETWORK_OBJ_INIT( \
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AI_PACK(weights_buffer_), \
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AI_PACK(activations_buffer_), \
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AI_PACK(in_tensor_list_ptr_), \
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AI_PACK(out_tensor_list_ptr_), \
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(in_node_ptr_), (signature_), (klass_obj_));
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#define AI_NETWORK_ACQUIRE_CTX(handle_) \
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AI_NETWORK_OBJ(ai_platform_context_acquire(handle_))
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/******************************************************************************/
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AI_API_DECLARE_BEGIN
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/*!
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* @typedef ai_klass_obj
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* @ingroup ai_platform_interface
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* @brief handler to (private) generic subclass derivatives implementation
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*/
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typedef void* ai_klass_obj;
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/*!
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* @typedef ai_ptr
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* @ingroup ai_platform_interface
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* @brief Byte pointer data addressing
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*/
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typedef uint8_t* ai_ptr;
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/*!
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* @typedef ai_ptr_const
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* @ingroup ai_platform_interface
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* @brief Constant byte pointer data addressing
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*/
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typedef const uint8_t* ai_ptr_const;
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/*!
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* @typedef ai_ptr_offset
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* @ingroup ai_platform_interface
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* @brief byte offset for computing strides
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*/
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typedef int32_t ai_ptr_offset;
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/*!
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* @typedef ai_flags
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* @ingroup ai_platform_interface
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* @brief bitmask for flags management
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*/
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typedef uint32_t ai_flags;
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/*!
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* @typedef ai_magic
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* @ingroup ai_platform_interface
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* @brief magic field to mark internal datatstructures
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*/
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typedef uint32_t ai_magic;
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#define AI_CONTEXT_FIELDS \
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ai_magic magic; /*!< magic word to mark valid contexts datastructs*/ \
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ai_signature signature; /*!< 32bit signature for network consistency checks */
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#define AI_CONTEXT_OBJ(obj) ((ai_context*)(obj))
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/*!
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* @typedef ai_context
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* @ingroup ai_platform_interface
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* @brief Abstract internal context header exposed to codegen interface
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*/
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AI_PACKED_STRUCT_START
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typedef AI_ALIGNED_TYPE(struct, 4) AI_PACKED ai_context_ {
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AI_CONTEXT_FIELDS
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} ai_context;
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AI_PACKED_STRUCT_END
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/*!
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* @enum ai_shape_2d_type
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* @ingroup ai_platform_interface
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* @brief Codes for the 2D tensor dimensions
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*/
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typedef enum {
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AI_SHAPE_2D_MAX_DIMENSION = 0x2,
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AI_SHAPE_2D_HEIGHT = 0x1,
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AI_SHAPE_2D_WIDTH = 0x0,
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} ai_shape_2d_type;
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/*!
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* @struct ai_shape_2d
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* @ingroup ai_platform_interface
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* @brief Dimensions for generic 2D tensors
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*/
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AI_PACKED_STRUCT_START
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typedef AI_ALIGNED_TYPE(struct, 4) AI_PACKED ai_shape_2d_s {
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ai_shape_dimension data[AI_SHAPE_2D_MAX_DIMENSION]; /*!< 2D tensor dimensions */
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} ai_shape_2d;
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AI_PACKED_STRUCT_END
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|
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/*!
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* @struct ai_array
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* @ingroup ai_platform_interface
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* @brief Generic flattened array with size
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* and (byte) stride of each item
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*/
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AI_PACKED_STRUCT_START
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typedef AI_ALIGNED_TYPE(struct, 4) AI_PACKED ai_array_s {
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// ai_u16 flags; /*!< optional flags to store array list attributes */
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// ai_u16 id; /*!< ID of the array object */
|
|
ai_array_format format; /*!< array format (see @ref ai_array_format) */
|
|
ai_array_size size; /*!< number of elements in the array (NOT number
|
|
of bytes!). The size of the array could be
|
|
determine using @ref AI_ARRAY_GET_BYTE_SIZE
|
|
macro */
|
|
ai_ptr data; /*!< pointer to data */
|
|
ai_ptr data_start; /*!< pointer to parent's data start address */
|
|
} ai_array;
|
|
AI_PACKED_STRUCT_END
|
|
|
|
/*!
|
|
* @struct ai_tensor_info
|
|
* @ingroup ai_platform_interface
|
|
* @brief ai_tensor_info info structure for storing size of the array list,
|
|
* tensor dimensionality, etc.
|
|
*
|
|
*/
|
|
AI_PACKED_STRUCT_START
|
|
typedef AI_ALIGNED_TYPE(struct, 4) AI_PACKED ai_tensor_info_s {
|
|
ai_u16 id;
|
|
ai_u8 flags;
|
|
ai_u8 data_size;
|
|
} ai_tensor_info;
|
|
AI_PACKED_STRUCT_END
|
|
|
|
/*!
|
|
* @struct ai_tensor
|
|
* @ingroup ai_platform_interface
|
|
* @brief Generic tensor structure for storing parameters and activations
|
|
*
|
|
* The data is stored in a flattened array with an implicit order given by the
|
|
* reverse order in @ref ai_shape_dimension:
|
|
* in_channels, channels, width, height.
|
|
*/
|
|
AI_PACKED_STRUCT_START
|
|
typedef AI_ALIGNED_TYPE(struct, 4) AI_PACKED ai_tensor_s {
|
|
ai_klass_obj klass; /*!< opaque pointer to klass context */
|
|
ai_tensor_info info; /*!< tensor info metadata see @ref ai_tensor_info)*/
|
|
ai_shape shape; /*!< tensor shape see @ref ai_shape */
|
|
ai_stride stride; /*!< tensor stride see @ref ai_stride */
|
|
ai_array* data; /*!< flattened array pointer to tensor data */
|
|
} ai_tensor;
|
|
AI_PACKED_STRUCT_END
|
|
|
|
/*!
|
|
* @struct ai_tensor_state
|
|
* @ingroup ai_platform_interface
|
|
* @brief state context for tensor management (used for I/O network tensors)
|
|
*/
|
|
AI_PACKED_STRUCT_START
|
|
typedef AI_ALIGNED_TYPE(struct, 4) AI_PACKED ai_tensor_state_s {
|
|
ai_ptr end_ptr; /*!< end address of the I/O tensor data buffer */
|
|
ai_ptr curr_ptr; /*!< current address of the I/O tensor data buffer (for batching) */
|
|
ai_ptr_offset stride; /*!< single batch buffer size (in bytes) */
|
|
ai_size size; /*!< total size in bytes of the I/O tensor buffer */
|
|
} ai_tensor_state;
|
|
AI_PACKED_STRUCT_END
|
|
|
|
/*!
|
|
* @struct ai_tensor_list_info
|
|
* @ingroup ai_platform_interface
|
|
* @brief info metadata for tensor list management (used for I/O network tensors)
|
|
*/
|
|
AI_PACKED_STRUCT_START
|
|
typedef AI_ALIGNED_TYPE(struct, 4) AI_PACKED ai_tensor_list_info_s {
|
|
ai_tensor_state* state; /*!< I/O buffer internal pointers state */
|
|
ai_buffer* buffer; /*!< I/O buffer pointer */
|
|
ai_buffer_meta_info* meta; /*!< I/O buffer meta informations */
|
|
} ai_tensor_list_info;
|
|
AI_PACKED_STRUCT_END
|
|
|
|
/********************************* INTEGER QUANTIZATION DATATYPES ************/
|
|
|
|
#define AI_INTQ_INFO_OBJ_INIT(flags_, scale_ , zeropoint_) { \
|
|
.scale = (scale_), \
|
|
.zeropoint = (ai_handle)(zeropoint_), \
|
|
.flags = (flags_), \
|
|
}
|
|
|
|
|
|
#define AI_PACK_INTQ_INFO_LIST(...) \
|
|
(ai_intq_info_list[]) { AI_PACK(__VA_ARGS__) }
|
|
|
|
#define AI_PACK_INTQ_INFO(scale_, zp_) \
|
|
(ai_intq_info[1]) { { .scale = AI_PACK(scale_), \
|
|
.zeropoint = AI_PACK(zp_) } }
|
|
|
|
#define AI_PACK_INTQ_SCALE(...) \
|
|
(ai_float[]) { AI_PACK(__VA_ARGS__) }
|
|
|
|
#define AI_PACK_INTQ_ZP(...) \
|
|
(ai_i8[]) { AI_PACK(__VA_ARGS__) }
|
|
|
|
#define AI_PACK_UINTQ_ZP(...) \
|
|
(ai_u8[]) { AI_PACK(__VA_ARGS__) }
|
|
|
|
|
|
#define AI_INTQ_INFO_LIST_OBJ_EMPTY { 0 }
|
|
|
|
#define AI_INTQ_INFO_LIST_OBJ_INIT(flags_, size_, info_) \
|
|
{ \
|
|
.flags = (flags_), \
|
|
.size = (size_), \
|
|
.info = (info_), \
|
|
}
|
|
|
|
#define AI_INTQ_INFO_LIST_OBJ_DECLARE(name_, attr_, ...) \
|
|
AI_ALIGNED(4) \
|
|
attr_ ai_intq_info_list name_ = \
|
|
AI_INTQ_INFO_LIST_OBJ_INIT(AI_FLAG_NONE, __VA_ARGS__);
|
|
|
|
|
|
/********************************* TENSOR CHAINS DATATYPES *******************/
|
|
/*!
|
|
* @enum ai_tensor_chain_type
|
|
* @ingroup ai_platform_interface
|
|
* @brief Enum for the different tensor chains supported in the library
|
|
*/
|
|
typedef enum {
|
|
AI_TENSOR_CHAIN_INPUT = 0x0,
|
|
AI_TENSOR_CHAIN_OUTPUT = 0x1,
|
|
AI_TENSOR_CHAIN_WEIGHTS = 0x2,
|
|
AI_TENSOR_CHAIN_SCRATCH = 0x3,
|
|
AI_TENSOR_CHAIN_SIZE
|
|
} ai_tensor_chain_type;
|
|
|
|
/*!
|
|
* @struct ai_tensor_list
|
|
* @ingroup ai_platform_interface
|
|
* @brief list (in form of arrays) of internal nodes tensor pointers
|
|
*/
|
|
AI_PACKED_STRUCT_START
|
|
typedef AI_ALIGNED_TYPE(struct, 4) AI_PACKED ai_tensor_list_s {
|
|
ai_u16 size; /*!< number of elements in the the tensor list */
|
|
ai_u16 flags; /*!< optional flags to store tensor list attributes */
|
|
ai_tensor** tensor; /*!< array of linked tensor pointer */
|
|
ai_tensor_list_info* info; /*!< pointer to an array of metainfo associated to the tensors */
|
|
} ai_tensor_list;
|
|
AI_PACKED_STRUCT_END
|
|
|
|
|
|
/*!
|
|
* @struct ai_tensor_chain
|
|
* @ingroup ai_platform_interface
|
|
* @brief tensor chain datastruct for internal network nodes
|
|
*/
|
|
AI_PACKED_STRUCT_START
|
|
typedef AI_ALIGNED_TYPE(struct, 4) AI_PACKED ai_tensor_chain_s {
|
|
ai_u16 size;
|
|
ai_u16 flags;
|
|
ai_tensor_list* chain; /*!< pointer to a 4 sized array see @ref ai_tensor_chain_type */
|
|
} ai_tensor_chain;
|
|
AI_PACKED_STRUCT_END
|
|
|
|
/* forward function */
|
|
struct ai_node_s;
|
|
|
|
/*!
|
|
* @struct ai_network
|
|
* @ingroup layers
|
|
* @brief Structure encoding a sequential neural network
|
|
*/
|
|
AI_PACKED_STRUCT_START
|
|
typedef AI_ALIGNED_TYPE(struct, 4) AI_PACKED ai_network_s {
|
|
AI_CONTEXT_FIELDS
|
|
ai_klass_obj klass; /*!< opaque handler to specific network implementations */
|
|
ai_flags flags; /*!< bitflags mask to track some network state info */
|
|
ai_error error; /*!< track 1st error code in the network */
|
|
|
|
ai_u16 n_batches; /*!< number of batches to process */
|
|
ai_u16 batch_id; /*!< current batch to to process btw [0, n_batches)*/
|
|
ai_buffer params; /*!< params buffer data */
|
|
ai_buffer activations; /*!< activations buffer data */
|
|
|
|
ai_tensor_chain tensors; /*!< I/O tensor chain list see @ref ai_tensor_list */
|
|
|
|
struct ai_node_s* input_node; /*!< first node to execute */
|
|
struct ai_node_s* current_node; /*!< current node to execute */
|
|
} ai_network;
|
|
AI_PACKED_STRUCT_END
|
|
|
|
/*!
|
|
* @brief Get platform runtime lib revision version as string.
|
|
* @ingroup ai_platform_interface
|
|
* @return a string containing the revision of the runtime library
|
|
*/
|
|
AI_INTERFACE_TYPE
|
|
const char* ai_platform_runtime_get_revision(void);
|
|
|
|
/*!
|
|
* @brief Get platform runtime lib version as datastruct.
|
|
* @ingroup ai_platform_interface
|
|
* @return a datastruct containing the version of the runtime library
|
|
*/
|
|
AI_INTERFACE_TYPE
|
|
ai_platform_version ai_platform_runtime_get_version(void);
|
|
|
|
/*!
|
|
* @brief Get platform public APIs version as datastruct.
|
|
* @ingroup ai_platform_interface
|
|
* @return a datastruct containing the version of the public APIs
|
|
*/
|
|
AI_INTERFACE_TYPE
|
|
ai_platform_version ai_platform_api_get_version(void);
|
|
|
|
/*!
|
|
* @brief Get platform interface private APIs version as datastruct.
|
|
* @ingroup ai_platform_interface
|
|
* @return a datastruct containing the version of the interface private APIs
|
|
*/
|
|
AI_INTERFACE_TYPE
|
|
ai_platform_version ai_platform_interface_api_get_version(void);
|
|
|
|
/*!
|
|
* @brief Get platform context.
|
|
* @ingroup ai_platform_interface
|
|
* @return a valid context handle or NULL otherwise
|
|
*/
|
|
AI_INTERFACE_TYPE
|
|
ai_context* ai_platform_context_acquire(const ai_handle handle);
|
|
|
|
/*!
|
|
* @brief Release platform context.
|
|
* @ingroup ai_platform_interface
|
|
* @return an opaque handle to the released object
|
|
*/
|
|
AI_INTERFACE_TYPE
|
|
ai_handle ai_platform_context_release(ai_context* ctx);
|
|
|
|
|
|
/*!
|
|
* @brief get **first** error tracked when using the network
|
|
* @ingroup ai_platform_interface
|
|
* @param network an opaque handler to the network context
|
|
* @return ai_error the FIRST error generated during network processing
|
|
*/
|
|
AI_INTERFACE_TYPE
|
|
ai_error ai_platform_network_get_error(ai_handle network);
|
|
|
|
|
|
/*!
|
|
* @brief Set specific error code of the network. if an error is already present
|
|
* keep it
|
|
* @ingroup ai_platform_interface
|
|
* @param net_ctx a pointer to the network context
|
|
* @param type error type as defined in @ref ai_error_type
|
|
* @param code error code as defined in @ref ai_error_code
|
|
* @return true if no previous errors where recorded, false if a previous error
|
|
* is present or context is invalid
|
|
*/
|
|
AI_INTERFACE_TYPE
|
|
ai_bool ai_platform_network_set_error(
|
|
ai_network* net_ctx, const ai_error_type type, const ai_error_code code);
|
|
|
|
/*!
|
|
* @brief Finalize network report datastruct with I/O buffer infos
|
|
* @ingroup ai_platform_interface
|
|
* @return bool if the report has been finalized correctly. false otherwise
|
|
*/
|
|
AI_INTERFACE_TYPE
|
|
ai_bool ai_platform_api_get_network_report(
|
|
ai_handle network, ai_network_report* r);
|
|
|
|
/*!
|
|
* @brief create a network context with some error check
|
|
* @ingroup ai_platform_interface
|
|
* @param a pointer to an opaque handle of the network context
|
|
* @param an (optional) pointer to the network config buffer info
|
|
* @param net_ctx a pointer to the network context structure to initialize
|
|
* @param tools_major major version id of the tool used to generate the network
|
|
* @param tools_minor minor version id of the tool used to generate the network
|
|
* @param tools_micro micro version id of the tool used to generate the network
|
|
* @return the error during network creation or error none if ok
|
|
*/
|
|
AI_INTERFACE_TYPE
|
|
ai_error ai_platform_network_create(
|
|
ai_handle* network, const ai_buffer* network_config,
|
|
ai_network* net_ctx,
|
|
const ai_u8 tools_major, const ai_u8 tools_minor, const ai_u8 tools_micro);
|
|
|
|
/*!
|
|
* @brief destroy a network context
|
|
* @ingroup ai_platform_interface
|
|
* @param network a pointer to an opaque handle of the network context
|
|
* @return AI_HANDLE_NULL if deallocation OK, same network handle if failed
|
|
*/
|
|
AI_INTERFACE_TYPE
|
|
ai_handle ai_platform_network_destroy(ai_handle network);
|
|
|
|
/*!
|
|
* @brief initialize the network context
|
|
* @ingroup ai_platform_interface
|
|
* @param network a pointer to an opaque handle of the network context
|
|
* @return a valid network context, NULL if initialization failed
|
|
*/
|
|
AI_INTERFACE_TYPE
|
|
ai_network* ai_platform_network_init(
|
|
ai_handle network, const ai_network_params* params);
|
|
|
|
/*!
|
|
* @brief main platform runtime execute of a network
|
|
* @ingroup ai_platform_interface
|
|
* @param network an opaque handler to the network context
|
|
* @param input a pointer to the input buffer data to process
|
|
* @param output a pointer to the output buffer
|
|
* @return the number of batches processed from the input. A result <=0 in case
|
|
* of error
|
|
*/
|
|
AI_INTERFACE_TYPE
|
|
ai_i32 ai_platform_network_process(
|
|
ai_handle network, const ai_buffer* input, ai_buffer* output);
|
|
|
|
AI_API_DECLARE_END
|
|
|
|
#endif /*__AI_PLATFORM_INTERFACE_H__*/
|