/** ****************************************************************************** * @file ai_platform_interface.h * @author AST Embedded Analytics Research Platform * @date 02-Aug-2018 * @brief Definitions of AI platform interface APIs types ****************************************************************************** * @attention * *

© Copyright (c) 2018 STMicroelectronics. * All rights reserved.

* * This software component is licensed by ST under Ultimate Liberty license * SLA0044, the "License"; You may not use this file except in compliance with * the License. You may obtain a copy of the License at: * www.st.com/SLA0044 * ****************************************************************************** */ #ifndef __AI_PLATFORM_INTERFACE_H__ #define __AI_PLATFORM_INTERFACE_H__ #pragma once #include "ai_platform.h" #include "datatypes_network.h" #include "ai_datatypes_format.h" /*! * @defgroup datatypes_interface Interface Datatypes * @brief Data structures and defines used to implement neural networks */ #define AI_PLATFORM_INTERFACE_API_MAJOR 1 #define AI_PLATFORM_INTERFACE_API_MINOR 3 #define AI_PLATFORM_INTERFACE_API_MICRO 0 /******************************************************************************/ #define AI_ERROR_TRAP(net_, type_, code_) \ ai_platform_network_set_error((net_), AI_CONCAT(AI_ERROR_,type_), \ AI_CONCAT(AI_ERROR_CODE_,code_)) /*! AI_PTR HANDLERS SECTION ************************************/ #define AI_PTR(ptr_) ((ai_ptr)(ptr_)) #define AI_PTR_CONST(ptr_) ((ai_ptr_const)(ptr_)) /*! STATIC ARRAYS ALLOCATOR SECTION ************************************/ #define AI_PACK_STORAGE_ARRAY(type_, dim_, ...) \ (type_[dim_]) { AI_PACK(__VA_ARGS__) } /*! AI_STORAGE_KLASS SECTION ************************************/ #define AI_STORAGE_KLASS_PACK(type_, dim_, ...) \ AI_PACK_STORAGE_ARRAY(type_, dim_, __VA_ARGS__) #define AI_STORAGE_KLASS_INIT(type_, size_, data_) \ { \ .type = (type_), \ .size = (size_), \ .data = (ai_handle)(data_), \ } /*! * @enum ai_storage_klass_type * @ingroup ai_platform_interface * @brief @ref ai_storage_class types enum */ typedef enum { AI_STORAGE_KLASS_SHAPE = 0x0, AI_STORAGE_KLASS_STRIDE, AI_STORAGE_KLASS_FLOAT, AI_STORAGE_KLASS_U8, AI_STORAGE_KLASS_I8, AI_STORAGE_KLASS_U16, AI_STORAGE_KLASS_I16, AI_STORAGE_KLASS_U32, AI_STORAGE_KLASS_I32, AI_STORAGE_KLASS_U64, AI_STORAGE_KLASS_I64, } ai_storage_klass_type; /*! * @struct ai_storage_klass * @ingroup ai_platform_interface * @brief Generic "Template" klass for generic storage arrays containers * from this klass several typed containers are derived (see e.g. @ref ai_shape) */ AI_PACKED_STRUCT_START typedef AI_ALIGNED_TYPE(struct, 4) AI_PACKED ai_storage_klass_s { ai_u32 type : 8; ai_u32 size : 24; ai_handle data; } ai_storage_klass; AI_PACKED_STRUCT_END /*! AI_SHAPES SECTION ************************************/ #define AI_SHAPE_2D_INIT(w_, h_) \ { .data = { (w_), (h_) } } #define AI_SHAPE_INIT(dim_, ...) \ AI_STORAGE_KLASS_INIT( \ AI_STORAGE_KLASS_SHAPE, \ dim_, \ AI_STORAGE_KLASS_PACK(ai_shape_dimension, dim_, ## __VA_ARGS__)) #define AI_SHAPE_INIT_FROM_BUFFER(dim_, buffer_) \ AI_STORAGE_KLASS_INIT( \ AI_STORAGE_KLASS_SHAPE, \ dim_, \ buffer_) /*! * @enum ai_shape_type * @ingroup ai_platform_interface * @brief Codes for the 4D tensor dimensions */ typedef enum { AI_SHAPE_MAX_DIMENSION = 0x4, AI_SHAPE_HEIGHT = 0x3, AI_SHAPE_WIDTH = 0x2, AI_SHAPE_CHANNEL = 0x1, AI_SHAPE_IN_CHANNEL = 0x0, // AI_SHAPE_BATCH_CHANNEL = 0x4, } ai_shape_type; /*! * @struct ai_shape * @ingroup ai_platform_interface * @brief Dimensions for generic 4D tensors */ #if 1 #if 0 AI_PACKED_STRUCT_START typedef AI_ALIGNED_TYPE(struct, 4) AI_PACKED ai_shape_s { ai_u32 type : 8; ai_u32 size : 24; ai_shape_dimension data[AI_SHAPE_MAX_DIMENSION]; /*!< 4D tensor shape */ } ai_shape; AI_PACKED_STRUCT_END #else typedef ai_storage_klass ai_shape; #endif #else AI_PACKED_STRUCT_START typedef AI_ALIGNED_TYPE(struct, 4) AI_PACKED ai_shape_s { ai_shape_dimension* dimension; /*!< ND tensor shape */ } ai_shape; AI_PACKED_STRUCT_END #endif /*! AI_STRIDES HANDLERS SECTION ************************************/ #define AI_STRIDE_INIT(dim_, ...) \ AI_STORAGE_KLASS_INIT( \ AI_STORAGE_KLASS_STRIDE, \ dim_, \ AI_STORAGE_KLASS_PACK(ai_stride_dimension, dim_, ## __VA_ARGS__)) #define AI_STRIDE_INIT_FROM_BUFFER(dim_, buffer_) \ AI_STORAGE_KLASS_INIT( \ AI_STORAGE_KLASS_STRIDE, \ dim_, \ buffer_) /*! * @struct ai_stride * @ingroup ai_platform_interface * @brief Stride dimensions for generic 4D tensors (in number of elements) */ typedef ai_storage_klass ai_stride; /*! BASIC_TYPES HANDLERS SECTION ************************************/ #define AI_SIZE(value_) \ ((ai_size)(value_)) /*! AI_KLASS_OBJ HANDLERS SECTION ************************************/ #define AI_KLASS_OBJ(obj_) \ ((ai_klass_obj)(obj_)) /*! GENERIC HANDLERS SECTION ************************************/ #define AI_OBJ_DATA(obj_, type_) \ ((type_)(obj_)->data) /*! AI_BUFFER HANDLERS SECTION ************************************/ #define AI_BUFFER_OBJ(ptr) \ ((ai_buffer*)(ptr)) /*! AI_ARRAY HANDLERS SECTION ************************************/ #define AI_ARRAY_OBJ(ptr) \ ((ai_array*)(ptr)) #define AI_ARRAY_OBJ_FMT(array_) \ ((ai_array_format)(AI_ARRAY_OBJ(array_)->format)) #define AI_ARRAY_OBJ_SIZE(array_) \ (AI_ARRAY_OBJ(array_)->size) #define AI_ARRAY_OBJ_BYTE_SIZE(array_) \ AI_SIZE(AI_ARRAY_GET_BYTE_SIZE(AI_ARRAY_OBJ_FMT(array_), \ AI_ARRAY_OBJ_SIZE(array_))) #define AI_ARRAY_OBJ_DATA_SIZE(array_) \ AI_ARRAY_GET_DATA_BYTE_SIZE(AI_ARRAY_OBJ_FMT(array_), \ AI_ARRAY_OBJ_SIZE(array_)) #define AI_ARRAY_OBJ_DATA(array_, type_) \ ((type_*)(AI_ARRAY_OBJ(array_)->data)) #define AI_ARRAY_OBJ_DATA_START(array_, type_) \ ((type_*)(AI_ARRAY_OBJ(array_)->data_start)) #define AI_ARRAY_OBJ_ELEM(array_, type_, pos_) \ AI_ARRAY_OBJ_DATA(array_, type_)[(pos_)] #define AI_ARRAY_OBJ_INIT_STATIC(type_, format_, size_, ...) { \ .format = AI_FMT_OBJ(format_), \ .size = (ai_array_size)(size_), \ .data = (ai_ptr)((type_[]){ __VA_ARGS__ }), \ .data_start = AI_PTR(0), \ } #define AI_ARRAY_OBJ_INIT(format_, data_, data_start_, size_) { \ .format = AI_FMT_OBJ(format_), \ .size = (ai_array_size)(size_), \ .data = AI_PTR(data_), \ .data_start = AI_PTR(data_start_) } #define AI_ARRAY_OBJ_DECLARE_STATIC(name_, type_, format_, attr_, size_, ...) \ AI_ALIGNED(4) \ attr_ ai_array name_ = AI_ARRAY_OBJ_INIT_STATIC(type_, format_, size_, __VA_ARGS__); #define AI_ARRAY_OBJ_DECLARE(name_, format_, data_, data_start_, size_, attr_) \ AI_ALIGNED(4) \ attr_ ai_array name_ = AI_ARRAY_OBJ_INIT(format_, data_, data_start_, size_); /********************************* ai_array macros ***************************/ #define AI_PACK_ARRAYS(...) \ (ai_array[]) { AI_PACK(__VA_ARGS__) } #define AI_ARRAY_LIST_OBJ_INIT(arrays_ptr_) \ ((ai_array*)(arrays_ptr_)) #define AI_ARRAY_LIST_FLAGS(list_) \ ( (list_) ? (list_)->flags : 0x0 ) #define AI_ARRAY_LIST_SIZE(list_) \ ( (list_) ? (list_)->size : 0 ) #define AI_ARRAY_LIST_DATA(list_, pos_) \ ( (list_) ? &((list_)->data[pos_]) : NULL ) /********************************* ai_tensor macros **************************/ #define AI_TENSOR_OBJ(obj_) \ ((ai_tensor*)(obj_)) #define AI_TENSOR_INFO_OBJ_INIT(id_, flags_, data_size_) { \ .id = (id_), \ .flags = (flags_), \ .data_size = (data_size_) \ } #define AI_TENSOR_OBJ_INIT(id_, flags_, shape_, stride_, arrays_size_, arrays_ptr_, klass_obj_) { \ .klass = (ai_klass_obj)(klass_obj_), \ .info = AI_TENSOR_INFO_OBJ_INIT(id_, flags_, arrays_size_), \ .shape = shape_, \ .stride = stride_, \ .data = AI_ARRAY_LIST_OBJ_INIT(AI_PACK(arrays_ptr_)), \ } #define AI_TENSOR_OBJ_DECLARE(name_, attr_, id_, flags_, shape_, stride_, \ arrays_size_, arrays_ptr_, klass_obj_) \ AI_ALIGNED(4) \ attr_ ai_tensor name_ = AI_TENSOR_OBJ_INIT(id_, flags_, AI_PACK(shape_), AI_PACK(stride_), \ arrays_size_, AI_PACK(arrays_ptr_), AI_PACK(klass_obj_)); /********************************* TENSOR STATE MACROS ***********************/ #define AI_TENSOR_STATE_OBJ_INIT(end_ptr_ , curr_ptr_, stride_, size_) \ { (end_ptr_), (curr_ptr_), (stride_), (size_) } /********************************* TENSOR LIST MACROS ************************/ #define AI_TENSOR_LIST_EMPTY \ { .size = 0, .flags = AI_FLAG_NONE, \ .tensor = (ai_tensor*[]) { NULL }, .info = NULL \ } #define AI_TENSOR_LIST_ENTRY(...) \ { .size = AI_NUMARGS(__VA_ARGS__), .flags = AI_FLAG_NONE, \ .tensor = (ai_tensor*[]) { __VA_ARGS__ }, .info = NULL \ } #define AI_TENSOR_LIST_OBJ_DECLARE(name_, attr_, ...) \ AI_ALIGNED(4) \ attr_ ai_tensor_list name_ = AI_TENSOR_LIST_ENTRY(__VA_ARGS__); /********************************* TENSOR LIST I/O MACROS ********************/ #define AI_TENSOR_LIST_IO_ENTRY(flags_, size_, ...) \ { .size = (size_), .flags = (flags_), \ .tensor = (ai_tensor*[]) { __VA_ARGS__ }, \ .info = (ai_tensor_list_info[1]) { { \ .buffer = (ai_buffer[size_])AI_STRUCT_INIT, \ .state = (ai_tensor_state[size_])AI_STRUCT_INIT, \ .meta = (ai_buffer_meta_info[size_])AI_STRUCT_INIT \ } } \ } /********************************* TENSOR CHAIN MACROS ***********************/ #define AI_TENSOR_CHAIN_OBJ_INIT(flags_, size_, ...) \ { .size = (size_), .flags = (flags_), \ .chain = (ai_tensor_list[]){ __VA_ARGS__ } } #define AI_TENSOR_CHAIN_OBJ_DECLARE(name_, attr_, size_, ...) \ AI_ALIGNED(4) \ attr_ ai_tensor_chain name_ = \ AI_TENSOR_CHAIN_OBJ_INIT(AI_FLAG_NONE, size_, __VA_ARGS__); /********************************* TENSOR CHAIN I/O MACROS *******************/ #define AI_TENSOR_CHAIN_IO_OBJ_INIT(flags_, in_tensor_list_, out_tensor_list_) \ { .chain = (ai_tensor_list[]){ in_tensor_list_, out_tensor_list_ }, \ .size = 2, .flags = (flags_) } #define AI_TENSOR_CHAIN_IO_OBJ_DECLARE( \ name_, attr_, flags_, in_tensor_list_, out_tensor_list_) \ AI_ALIGNED(4) \ attr_ ai_tensor_chain_io name_ = \ AI_TENSOR_CHAIN_IO_OBJ_INIT(flags_, in_tensor_list_, out_tensor_list_); /******************************* NETWORK SECTION ****************************/ #define AI_NETWORK_OBJ(obj_) \ ((ai_network*)(obj_)) #define AI_NETWORK_OBJ_INIT( \ weights_buffer_, activations_buffer_, \ in_tensor_list_ptr_, out_tensor_list_ptr_, \ in_node_ptr_, signature_, klass_obj_) { \ .magic = 0x0, \ .signature = signature_, \ .klass = AI_KLASS_OBJ(klass_obj_), \ .flags = AI_FLAG_NONE, \ .error = AI_ERROR_INIT(NONE, NONE), \ .n_batches = 0, \ .batch_id = 0, \ .params = weights_buffer_, \ .activations = activations_buffer_, \ .tensors = AI_TENSOR_CHAIN_IO_OBJ_INIT(AI_FLAG_NONE, \ AI_PACK(in_tensor_list_ptr_), \ AI_PACK(out_tensor_list_ptr_)), \ .input_node = AI_NODE_OBJ(in_node_ptr_), \ .current_node = AI_NODE_OBJ(NULL), \ } #define AI_NETWORK_OBJ_DECLARE( \ name_, attr_, \ weights_buffer_, activations_buffer_, \ in_tensor_list_ptr_, out_tensor_list_ptr_, \ in_node_ptr_, signature_, klass_obj_) \ AI_ALIGNED(4) \ attr_ ai_network name_ = AI_NETWORK_OBJ_INIT( \ AI_PACK(weights_buffer_), \ AI_PACK(activations_buffer_), \ AI_PACK(in_tensor_list_ptr_), \ AI_PACK(out_tensor_list_ptr_), \ (in_node_ptr_), (signature_), (klass_obj_)); #define AI_NETWORK_ACQUIRE_CTX(handle_) \ AI_NETWORK_OBJ(ai_platform_context_acquire(handle_)) /******************************************************************************/ AI_API_DECLARE_BEGIN /*! * @typedef ai_klass_obj * @ingroup ai_platform_interface * @brief handler to (private) generic subclass derivatives implementation */ typedef void* ai_klass_obj; /*! * @typedef ai_ptr * @ingroup ai_platform_interface * @brief Byte pointer data addressing */ typedef uint8_t* ai_ptr; /*! * @typedef ai_ptr_const * @ingroup ai_platform_interface * @brief Constant byte pointer data addressing */ typedef const uint8_t* ai_ptr_const; /*! * @typedef ai_ptr_offset * @ingroup ai_platform_interface * @brief byte offset for computing strides */ typedef int32_t ai_ptr_offset; /*! * @typedef ai_flags * @ingroup ai_platform_interface * @brief bitmask for flags management */ typedef uint32_t ai_flags; /*! * @typedef ai_magic * @ingroup ai_platform_interface * @brief magic field to mark internal datatstructures */ typedef uint32_t ai_magic; #define AI_CONTEXT_FIELDS \ ai_magic magic; /*!< magic word to mark valid contexts datastructs*/ \ ai_signature signature; /*!< 32bit signature for network consistency checks */ #define AI_CONTEXT_OBJ(obj) ((ai_context*)(obj)) /*! * @typedef ai_context * @ingroup ai_platform_interface * @brief Abstract internal context header exposed to codegen interface */ AI_PACKED_STRUCT_START typedef AI_ALIGNED_TYPE(struct, 4) AI_PACKED ai_context_ { AI_CONTEXT_FIELDS } ai_context; AI_PACKED_STRUCT_END /*! * @enum ai_shape_2d_type * @ingroup ai_platform_interface * @brief Codes for the 2D tensor dimensions */ typedef enum { AI_SHAPE_2D_MAX_DIMENSION = 0x2, AI_SHAPE_2D_HEIGHT = 0x1, AI_SHAPE_2D_WIDTH = 0x0, } ai_shape_2d_type; /*! * @struct ai_shape_2d * @ingroup ai_platform_interface * @brief Dimensions for generic 2D tensors */ AI_PACKED_STRUCT_START typedef AI_ALIGNED_TYPE(struct, 4) AI_PACKED ai_shape_2d_s { ai_shape_dimension data[AI_SHAPE_2D_MAX_DIMENSION]; /*!< 2D tensor dimensions */ } ai_shape_2d; AI_PACKED_STRUCT_END /*! * @struct ai_array * @ingroup ai_platform_interface * @brief Generic flattened array with size * and (byte) stride of each item */ AI_PACKED_STRUCT_START typedef AI_ALIGNED_TYPE(struct, 4) AI_PACKED ai_array_s { // ai_u16 flags; /*!< optional flags to store array list attributes */ // 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__*/