This commit adds a function for execution of TFInferRequest and documentation for functions related to TFInferRequest.
Signed-off-by: Shubhanshu Saxena <shubhanshu....@gmail.com> --- libavfilter/dnn/dnn_backend_tf.c | 45 ++++++++++++++++++++++++++++++++ 1 file changed, 45 insertions(+) diff --git a/libavfilter/dnn/dnn_backend_tf.c b/libavfilter/dnn/dnn_backend_tf.c index 6443c2fd1d..805a0328b6 100644 --- a/libavfilter/dnn/dnn_backend_tf.c +++ b/libavfilter/dnn/dnn_backend_tf.c @@ -94,6 +94,13 @@ static void free_buffer(void *data, size_t length) av_freep(&data); } +/** + * Free the contents of TensorFlow inference request. + * It does not free the TFInferRequest instance. + * + * @param request pointer to TFInferRequest instance. + * NULL pointer is allowed. + */ static void tf_free_request(TFInferRequest *request) { if (!request) @@ -116,6 +123,12 @@ static void tf_free_request(TFInferRequest *request) } } +/** + * Create a TensorFlow inference request. All properties + * are initially unallocated and set as NULL. + * + * @return pointer to the allocated TFInferRequest instance. + */ static TFInferRequest *tf_create_inference_request(void) { TFInferRequest *infer_request = av_malloc(sizeof(TFInferRequest)); @@ -126,6 +139,38 @@ static TFInferRequest *tf_create_inference_request(void) return infer_request; } +/** + * Start synchronous inference for the TensorFlow model. + * + * @param request pointer to the TFRequestItem for inference + * @retval DNN_SUCCESS if execution is successful + * @retval DNN_ERROR if execution fails + */ +static DNNReturnType tf_start_inference(void *args) +{ + TFRequestItem *request = args; + TFInferRequest *infer_request = request->infer_request; + InferenceItem *inference = request->inference; + TaskItem *task = inference->task; + TFModel *tf_model = task->model; + + if (!request) { + av_log(&tf_model->ctx, AV_LOG_ERROR, "TFRequestItem is NULL\n"); + return DNN_ERROR; + } + + TF_SessionRun(tf_model->session, NULL, + infer_request->tf_input, &infer_request->input_tensor, 1, + infer_request->tf_outputs, infer_request->output_tensors, + task->nb_output, NULL, 0, NULL, + tf_model->status); + if (TF_GetCode(tf_model->status) != TF_OK) { + av_log(&tf_model->ctx, AV_LOG_ERROR, "%s", TF_Message(tf_model->status)); + return DNN_ERROR; + } + return DNN_SUCCESS; +} + static DNNReturnType extract_inference_from_task(TaskItem *task, Queue *inference_queue) { TFModel *tf_model = task->model; -- 2.25.1 _______________________________________________ ffmpeg-devel mailing list ffmpeg-devel@ffmpeg.org https://ffmpeg.org/mailman/listinfo/ffmpeg-devel To unsubscribe, visit link above, or email ffmpeg-devel-requ...@ffmpeg.org with subject "unsubscribe".