#include "libavformat/avio.h"
#include "libavutil/avassert.h"
#include "libavutil/avstring.h"
#include "libavutil/cpu.h"
#include "libavutil/opt.h"
#include "libavcodec/defs.h"
#include "../internal.h"
#include "dnn_io_proc.h"
#include "dnn_backend_common.h"
#include "safe_queue.h"
#include <tensorflow/c/c_api.h>

Data Structures
struct	TFOptions

struct	TFContext

struct	TFModel

struct	TFInferRequest
	Stores execution parameters for single call to the TensorFlow C API. More...

struct	TFRequestItem

Macros
#define	OFFSET(x) offsetof(TFContext, x)

#define	FLAGS AV_OPT_FLAG_FILTERING_PARAM

#define	SPACE_CHARS " \t\r\n"

Functions
	AVFILTER_DEFINE_CLASS (dnn_tensorflow)

static int	execute_model_tf (TFRequestItem request, Queue lltask_queue)

static void	infer_completion_callback (void *args)

static void	destroy_request_item (TFRequestItem **arg)
	Free the TFRequestItem completely. More...

static void	free_buffer (void *data, size_t length)

static void	tf_free_request (TFInferRequest *request)
	Free the contents of TensorFlow inference request. More...

static TFInferRequest *	tf_create_inference_request (void)
	Create a TensorFlow inference request. More...

static int	tf_start_inference (void *args)
	Start synchronous inference for the TensorFlow model. More...

static int	extract_lltask_from_task (TaskItem task, Queue lltask_queue)

static TF_Buffer *	read_graph (const char *model_filename)

static TF_Tensor *	allocate_input_tensor (const DNNData *input)

static int	get_input_tf (void model, DNNData input, const char *input_name)

static int	get_output_tf (void model, const char input_name, int input_width, int input_height, const char output_name, int output_width, int *output_height)

static int	hex_to_data (uint8_t data, const char p)

static int	load_tf_model (TFModel tf_model, const char model_filename)

static void	dnn_free_model_tf (DNNModel **model)

static DNNModel *	dnn_load_model_tf (const char model_filename, DNNFunctionType func_type, const char options, AVFilterContext *filter_ctx)

static int	fill_model_input_tf (TFModel tf_model, TFRequestItem request)

static int	dnn_execute_model_tf (const DNNModel model, DNNExecBaseParams exec_params)

static DNNAsyncStatusType	dnn_get_result_tf (const DNNModel model, AVFrame in, AVFrame *out)

static int	dnn_flush_tf (const DNNModel *model)

Variables
static const AVOption	dnn_tensorflow_options []

const DNNModule	ff_dnn_backend_tf

Detailed Description

DNN tensorflow backend implementation.

Definition in file dnn_backend_tf.c.

Macro Definition Documentation

◆ OFFSET

#define OFFSET ( x ) offsetof(TFContext, x)

Definition at line 78 of file dnn_backend_tf.c.

◆ FLAGS

#define FLAGS AV_OPT_FLAG_FILTERING_PARAM

Definition at line 79 of file dnn_backend_tf.c.

◆ SPACE_CHARS

#define SPACE_CHARS " \t\r\n"

Definition at line 369 of file dnn_backend_tf.c.

Function Documentation

◆ AVFILTER_DEFINE_CLASS()

AVFILTER_DEFINE_CLASS ( dnn_tensorflow )

◆ execute_model_tf()

static int execute_model_tf	(	TFRequestItem *	request,
		Queue *	lltask_queue
	)

static

Definition at line 786 of file dnn_backend_tf.c.

Referenced by dnn_execute_model_tf(), and get_output_tf().

◆ infer_completion_callback()

static void infer_completion_callback ( void * args )

static

Definition at line 723 of file dnn_backend_tf.c.

Referenced by dnn_load_model_tf(), and execute_model_tf().

◆ destroy_request_item()

static void destroy_request_item ( TFRequestItem ** arg )

inlinestatic

Free the TFRequestItem completely.

Parameters

arg	Address of the TFInferRequest instance.

Definition at line 183 of file dnn_backend_tf.c.

Referenced by dnn_flush_tf(), dnn_free_model_tf(), dnn_load_model_tf(), execute_model_tf(), and infer_completion_callback().

◆ free_buffer()

static void free_buffer	(	void *	data,
		size_t	length
	)

static

Definition at line 92 of file dnn_backend_tf.c.

Referenced by read_graph().

◆ tf_free_request()

static void tf_free_request ( TFInferRequest * request )

static

Free the contents of TensorFlow inference request.

It does not free the TFInferRequest instance.

Parameters

request pointer to TFInferRequest instance. NULL pointer is allowed.

Definition at line 104 of file dnn_backend_tf.c.

Referenced by destroy_request_item(), execute_model_tf(), fill_model_input_tf(), and infer_completion_callback().

◆ tf_create_inference_request()

static TFInferRequest* tf_create_inference_request ( void )

static

Create a TensorFlow inference request.

All properties are initially unallocated and set as NULL.

Returns: pointer to the allocated TFInferRequest instance.

Definition at line 132 of file dnn_backend_tf.c.

Referenced by dnn_load_model_tf().

◆ tf_start_inference()

static int tf_start_inference ( void * args )

static

Start synchronous inference for the TensorFlow model.

Parameters

request pointer to the TFRequestItem for inference

Return values

0	if execution is successful
AVERROR(EINVAL)	if request is NULL
DNN_GENERIC_ERROR	if execution fails

Definition at line 153 of file dnn_backend_tf.c.

Referenced by dnn_load_model_tf(), and execute_model_tf().

◆ extract_lltask_from_task()

static int extract_lltask_from_task	(	TaskItem *	task,
		Queue *	lltask_queue
	)

static

Definition at line 197 of file dnn_backend_tf.c.

Referenced by dnn_execute_model_tf(), and get_output_tf().

◆ read_graph()

static TF_Buffer* read_graph ( const char * model_filename )

static

Definition at line 217 of file dnn_backend_tf.c.

Referenced by load_tf_model().

◆ allocate_input_tensor()

static TF_Tensor* allocate_input_tensor ( const DNNData * input )

static

Definition at line 250 of file dnn_backend_tf.c.

Referenced by fill_model_input_tf().

◆ get_input_tf()

static int get_input_tf	(	void *	model,
		DNNData *	input,
		const char *	input_name
	)

static

Definition at line 277 of file dnn_backend_tf.c.

Referenced by dnn_load_model_tf(), and fill_model_input_tf().

◆ get_output_tf()

static int get_output_tf	(	void *	model,
		const char *	input_name,
		int	input_width,
		int	input_height,
		const char *	output_name,
		int *	output_width,
		int *	output_height
	)

static

Definition at line 325 of file dnn_backend_tf.c.

Referenced by dnn_load_model_tf().

◆ hex_to_data()

static int hex_to_data	(	uint8_t *	data,
		const char *	p
	)

static

Definition at line 370 of file dnn_backend_tf.c.

Referenced by load_tf_model().

◆ load_tf_model()

static int load_tf_model	(	TFModel *	tf_model,
		const char *	model_filename
	)

static

Definition at line 399 of file dnn_backend_tf.c.

Referenced by dnn_load_model_tf().

◆ dnn_free_model_tf()

static void dnn_free_model_tf ( DNNModel ** model )

static

Definition at line 494 of file dnn_backend_tf.c.

Referenced by dnn_load_model_tf(), and execute_model_tf().

◆ dnn_load_model_tf()

static DNNModel* dnn_load_model_tf	(	const char *	model_filename,
		DNNFunctionType	func_type,
		const char *	options,
		AVFilterContext *	filter_ctx
	)

static

Definition at line 535 of file dnn_backend_tf.c.

◆ fill_model_input_tf()

static int fill_model_input_tf	(	TFModel *	tf_model,
		TFRequestItem *	request
	)

static

Definition at line 629 of file dnn_backend_tf.c.

Referenced by dnn_flush_tf(), and execute_model_tf().

◆ dnn_execute_model_tf()

static int dnn_execute_model_tf	(	const DNNModel *	model,
		DNNExecBaseParams *	exec_params
	)

static

Definition at line 832 of file dnn_backend_tf.c.

◆ dnn_get_result_tf()

static DNNAsyncStatusType dnn_get_result_tf	(	const DNNModel *	model,
		AVFrame **	in,
		AVFrame **	out
	)

static

Definition at line 880 of file dnn_backend_tf.c.

◆ dnn_flush_tf()

static int dnn_flush_tf ( const DNNModel * model )

static

Definition at line 886 of file dnn_backend_tf.c.

Variable Documentation

◆ dnn_tensorflow_options

const AVOption dnn_tensorflow_options[]

static

Initial value:

= {
    { "sess_config", "config for SessionOptions", OFFSET(options.sess_config), AV_OPT_TYPE_STRING, { .str = NULL }, 0, 0, FLAGS },
    DNN_BACKEND_COMMON_OPTIONS
    { NULL }
}

Definition at line 80 of file dnn_backend_tf.c.

◆ ff_dnn_backend_tf

const DNNModule ff_dnn_backend_tf

Initial value:

= {
    .load_model     = dnn_load_model_tf,
    .execute_model  = dnn_execute_model_tf,
    .get_result     = dnn_get_result_tf,
    .flush          = dnn_flush_tf,
    .free_model     = dnn_free_model_tf,
}

Definition at line 916 of file dnn_backend_tf.c.

Referenced by ff_get_dnn_module().

Data Structures

Macros

Functions

Variables

Detailed Description

Macro Definition Documentation

◆ OFFSET

◆ FLAGS

◆ SPACE_CHARS

Function Documentation

◆ AVFILTER_DEFINE_CLASS()

◆ execute_model_tf()

◆ infer_completion_callback()

◆ destroy_request_item()

◆ free_buffer()

◆ tf_free_request()

◆ tf_create_inference_request()

◆ tf_start_inference()

◆ extract_lltask_from_task()

◆ read_graph()

◆ allocate_input_tensor()

◆ get_input_tf()

◆ get_output_tf()

◆ hex_to_data()

◆ load_tf_model()

◆ dnn_free_model_tf()

◆ dnn_load_model_tf()

◆ fill_model_input_tf()

◆ dnn_execute_model_tf()

◆ dnn_get_result_tf()

◆ dnn_flush_tf()

Variable Documentation

◆ dnn_tensorflow_options

◆ ff_dnn_backend_tf