[FFmpeg-cvslog] dnn/openvino: refine code for better model initialization
Ting Fu
git at videolan.org
Mon Jan 18 07:58:40 EET 2021
ffmpeg | branch: master | Ting Fu <ting.fu at intel.com> | Mon Jan 18 11:42:13 2021 +0800| [048d5cc6206b3ff23666d7fc5f6bf15a9318e272] | committer: Guo, Yejun
dnn/openvino: refine code for better model initialization
Move openvino model/inference request creation and initialization steps
from ff_dnn_load_model_ov to new function init_model_ov, for later input
resize support.
Signed-off-by: Ting Fu <ting.fu at intel.com>
> http://git.videolan.org/gitweb.cgi/ffmpeg.git/?a=commit;h=048d5cc6206b3ff23666d7fc5f6bf15a9318e272
---
libavfilter/dnn/dnn_backend_openvino.c | 203 +++++++++++++++++++--------------
1 file changed, 118 insertions(+), 85 deletions(-)
diff --git a/libavfilter/dnn/dnn_backend_openvino.c b/libavfilter/dnn/dnn_backend_openvino.c
index 8476f4fb38..ecfd2b3f36 100644
--- a/libavfilter/dnn/dnn_backend_openvino.c
+++ b/libavfilter/dnn/dnn_backend_openvino.c
@@ -248,6 +248,103 @@ static void infer_completion_callback(void *args)
}
}
+static DNNReturnType init_model_ov(OVModel *ov_model)
+{
+ OVContext *ctx = &ov_model->ctx;
+ IEStatusCode status;
+ ie_available_devices_t a_dev;
+ ie_config_t config = {NULL, NULL, NULL};
+ char *all_dev_names = NULL;
+
+ // batch size
+ if (ctx->options.batch_size <= 0) {
+ ctx->options.batch_size = 1;
+ }
+
+ if (ctx->options.batch_size > 1) {
+ input_shapes_t input_shapes;
+ status = ie_network_get_input_shapes(ov_model->network, &input_shapes);
+ if (status != OK)
+ goto err;
+ for (int i = 0; i < input_shapes.shape_num; i++)
+ input_shapes.shapes[i].shape.dims[0] = ctx->options.batch_size;
+ status = ie_network_reshape(ov_model->network, input_shapes);
+ ie_network_input_shapes_free(&input_shapes);
+ if (status != OK)
+ goto err;
+ }
+
+ status = ie_core_load_network(ov_model->core, ov_model->network, ctx->options.device_type, &config, &ov_model->exe_network);
+ if (status != OK) {
+ av_log(ctx, AV_LOG_ERROR, "Failed to load OpenVINO model network\n");
+ status = ie_core_get_available_devices(ov_model->core, &a_dev);
+ if (status != OK) {
+ av_log(ctx, AV_LOG_ERROR, "Failed to get available devices\n");
+ goto err;
+ }
+ for (int i = 0; i < a_dev.num_devices; i++) {
+ APPEND_STRING(all_dev_names, a_dev.devices[i])
+ }
+ av_log(ctx, AV_LOG_ERROR,"device %s may not be supported, all available devices are: \"%s\"\n",
+ ctx->options.device_type, all_dev_names);
+ goto err;
+ }
+
+ // create infer_request for sync execution
+ status = ie_exec_network_create_infer_request(ov_model->exe_network, &ov_model->infer_request);
+ if (status != OK)
+ goto err;
+
+ // create infer_requests for async execution
+ if (ctx->options.nireq <= 0) {
+ // the default value is a rough estimation
+ ctx->options.nireq = av_cpu_count() / 2 + 1;
+ }
+
+ ov_model->request_queue = ff_safe_queue_create();
+ if (!ov_model->request_queue) {
+ goto err;
+ }
+
+ for (int i = 0; i < ctx->options.nireq; i++) {
+ RequestItem *item = av_mallocz(sizeof(*item));
+ if (!item) {
+ goto err;
+ }
+
+ status = ie_exec_network_create_infer_request(ov_model->exe_network, &item->infer_request);
+ if (status != OK) {
+ av_freep(&item);
+ goto err;
+ }
+
+ item->tasks = av_malloc_array(ctx->options.batch_size, sizeof(*item->tasks));
+ if (!item->tasks) {
+ av_freep(&item);
+ goto err;
+ }
+ item->task_count = 0;
+
+ item->callback.completeCallBackFunc = infer_completion_callback;
+ item->callback.args = item;
+ if (ff_safe_queue_push_back(ov_model->request_queue, item) < 0) {
+ av_freep(&item);
+ goto err;
+ }
+ }
+
+ ov_model->task_queue = ff_queue_create();
+ if (!ov_model->task_queue) {
+ goto err;
+ }
+
+ return DNN_SUCCESS;
+
+err:
+ ff_dnn_free_model_ov(&ov_model->model);
+ return DNN_ERROR;
+}
+
static DNNReturnType execute_model_ov(RequestItem *request)
{
IEStatusCode status;
@@ -367,6 +464,13 @@ static DNNReturnType get_output_ov(void *model, const char *input_name, int inpu
in_frame->width = input_width;
in_frame->height = input_height;
+ if (!ov_model->exe_network) {
+ if (init_model_ov(ov_model) != DNN_SUCCESS) {
+ av_log(ctx, AV_LOG_ERROR, "Failed init OpenVINO exectuable network or inference request\n");
+ return DNN_ERROR;
+ };
+ }
+
task.done = 0;
task.do_ioproc = 0;
task.async = 0;
@@ -391,13 +495,10 @@ static DNNReturnType get_output_ov(void *model, const char *input_name, int inpu
DNNModel *ff_dnn_load_model_ov(const char *model_filename, const char *options, AVFilterContext *filter_ctx)
{
- char *all_dev_names = NULL;
DNNModel *model = NULL;
OVModel *ov_model = NULL;
OVContext *ctx = NULL;
IEStatusCode status;
- ie_config_t config = {NULL, NULL, NULL};
- ie_available_devices_t a_dev;
model = av_mallocz(sizeof(DNNModel));
if (!model){
@@ -429,88 +530,6 @@ DNNModel *ff_dnn_load_model_ov(const char *model_filename, const char *options,
if (status != OK)
goto err;
- // batch size
- if (ctx->options.batch_size <= 0) {
- ctx->options.batch_size = 1;
- }
-
- if (ctx->options.batch_size > 1) {
- input_shapes_t input_shapes;
- status = ie_network_get_input_shapes(ov_model->network, &input_shapes);
- if (status != OK)
- goto err;
- for (int i = 0; i < input_shapes.shape_num; i++)
- input_shapes.shapes[i].shape.dims[0] = ctx->options.batch_size;
- status = ie_network_reshape(ov_model->network, input_shapes);
- ie_network_input_shapes_free(&input_shapes);
- if (status != OK)
- goto err;
- }
-
- status = ie_core_load_network(ov_model->core, ov_model->network, ctx->options.device_type, &config, &ov_model->exe_network);
- if (status != OK) {
- av_log(ctx, AV_LOG_ERROR, "Failed to init OpenVINO model\n");
- status = ie_core_get_available_devices(ov_model->core, &a_dev);
- if (status != OK) {
- av_log(ctx, AV_LOG_ERROR, "Failed to get available devices\n");
- goto err;
- }
- for (int i = 0; i < a_dev.num_devices; i++) {
- APPEND_STRING(all_dev_names, a_dev.devices[i])
- }
- av_log(ctx, AV_LOG_ERROR,"device %s may not be supported, all available devices are: \"%s\"\n",
- ctx->options.device_type, all_dev_names);
- goto err;
- }
-
- // create infer_request for sync execution
- status = ie_exec_network_create_infer_request(ov_model->exe_network, &ov_model->infer_request);
- if (status != OK)
- goto err;
-
- // create infer_requests for async execution
- if (ctx->options.nireq <= 0) {
- // the default value is a rough estimation
- ctx->options.nireq = av_cpu_count() / 2 + 1;
- }
-
- ov_model->request_queue = ff_safe_queue_create();
- if (!ov_model->request_queue) {
- goto err;
- }
-
- for (int i = 0; i < ctx->options.nireq; i++) {
- RequestItem *item = av_mallocz(sizeof(*item));
- if (!item) {
- goto err;
- }
-
- status = ie_exec_network_create_infer_request(ov_model->exe_network, &item->infer_request);
- if (status != OK) {
- av_freep(&item);
- goto err;
- }
-
- item->tasks = av_malloc_array(ctx->options.batch_size, sizeof(*item->tasks));
- if (!item->tasks) {
- av_freep(&item);
- goto err;
- }
- item->task_count = 0;
-
- item->callback.completeCallBackFunc = infer_completion_callback;
- item->callback.args = item;
- if (ff_safe_queue_push_back(ov_model->request_queue, item) < 0) {
- av_freep(&item);
- goto err;
- }
- }
-
- ov_model->task_queue = ff_queue_create();
- if (!ov_model->task_queue) {
- goto err;
- }
-
model->get_input = &get_input_ov;
model->get_output = &get_output_ov;
model->options = options;
@@ -554,6 +573,13 @@ DNNReturnType ff_dnn_execute_model_ov(const DNNModel *model, const char *input_n
return DNN_ERROR;
}
+ if (!ov_model->exe_network) {
+ if (init_model_ov(ov_model) != DNN_SUCCESS) {
+ av_log(ctx, AV_LOG_ERROR, "Failed init OpenVINO exectuable network or inference request\n");
+ return DNN_ERROR;
+ };
+ }
+
task.done = 0;
task.do_ioproc = 1;
task.async = 0;
@@ -594,6 +620,13 @@ DNNReturnType ff_dnn_execute_model_async_ov(const DNNModel *model, const char *i
return DNN_ERROR;
}
+ if (!ov_model->exe_network) {
+ if (init_model_ov(ov_model) != DNN_SUCCESS) {
+ av_log(ctx, AV_LOG_ERROR, "Failed init OpenVINO exectuable network or inference request\n");
+ return DNN_ERROR;
+ };
+ }
+
task->done = 0;
task->do_ioproc = 1;
task->async = 1;
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