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libavfilter/dnn/openvino: Reduce redundant memory allocation

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We can directly get data ptr from tensor, so that extral memory
allocation can be removed.

Signed-off-by: Wenbin Chen <wenbin.chen@intel.com>
This commit is contained in:
Wenbin Chen 2023-11-09 16:13:10 +08:00 committed by Guo Yejun
parent 49719d3cb5
commit fa81de4af0
1 changed files with 21 additions and 21 deletions
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42
libavfilter/dnn/dnn_backend_openvino.c
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@ -204,7 +204,6 @@ static int fill_model_input_ov(OVModel *ov_model, OVRequestItem *request)
ov_tensor_t* tensor = NULL;
ov_shape_t input_shape = {0};
ov_element_type_e precision;
void *input_data_ptr = NULL;
#else
dimensions_t dims;
precision_e precision;
@ -249,12 +248,6 @@ static int fill_model_input_ov(OVModel *ov_model, OVRequestItem *request)
input.width = dims[2];
input.channels = dims[3];
input.dt = precision_to_datatype(precision);
input.data = av_malloc(input.height * input.width * input.channels * get_datatype_size(input.dt));
if (!input.data) {
ov_shape_free(&input_shape);
return AVERROR(ENOMEM);
}
input_data_ptr = input.data;
#else
status = ie_infer_request_get_blob(request->infer_request, task->input_name, &input_blob);
if (status != OK) {
@ -297,6 +290,26 @@ static int fill_model_input_ov(OVModel *ov_model, OVRequestItem *request)
request->lltasks[i] = lltask;
request->lltask_count = i + 1;
task = lltask->task;
#if HAVE_OPENVINO2
if (tensor)
ov_tensor_free(tensor);
status = ov_tensor_create(precision, input_shape, &tensor);
ov_shape_free(&input_shape);
if (status != OK) {
av_log(ctx, AV_LOG_ERROR, "Failed to create tensor from host prt.\n");
return ov2_map_error(status, NULL);
}
status = ov_tensor_data(tensor, &input.data);
if (status != OK) {
av_log(ctx, AV_LOG_ERROR, "Failed to get input data.\n");
return ov2_map_error(status, NULL);
}
status = ov_infer_request_set_input_tensor(request->infer_request, tensor);
if (status != OK) {
av_log(ctx, AV_LOG_ERROR, "Failed to Set an input tensor for the model.\n");
return ov2_map_error(status, NULL);
}
#endif
switch (ov_model->model->func_type) {
case DFT_PROCESS_FRAME:
if (task->do_ioproc) {
@ -317,24 +330,11 @@ static int fill_model_input_ov(OVModel *ov_model, OVRequestItem *request)
av_assert0(!"should not reach here");
break;
}
#if HAVE_OPENVINO2
status = ov_tensor_create_from_host_ptr(precision, input_shape, input.data, &tensor);
ov_shape_free(&input_shape);
if (status != OK) {
av_log(ctx, AV_LOG_ERROR, "Failed to create tensor from host prt.\n");
return ov2_map_error(status, NULL);
}
status = ov_infer_request_set_input_tensor(request->infer_request, tensor);
if (status != OK) {
av_log(ctx, AV_LOG_ERROR, "Failed to Set an input tensor for the model.\n");
return ov2_map_error(status, NULL);
}
#endif
input.data = (uint8_t *)input.data
+ input.width * input.height * input.channels * get_datatype_size(input.dt);
}
#if HAVE_OPENVINO2
av_freep(&input_data_ptr);
ov_tensor_free(tensor);
#else
ie_blob_free(&input_blob);
#endif