Message ID | tencent_8C92E63B509D26CFE7D76AB4D3121C560B06@qq.com |
---|---|
State | Accepted |
Commit | 3a5d95e3fad53ef05de78edeaf7e655d1b7495c2 |
Headers | show |
Series | [FFmpeg-devel,01/10] avfilter/dnn: define each backend as a DNNModule | expand |
Context | Check | Description |
---|---|---|
andriy/make_x86 | success | Make finished |
andriy/make_fate_x86 | success | Make fate finished |
diff --git a/libavfilter/dnn/dnn_backend_tf.c b/libavfilter/dnn/dnn_backend_tf.c index c15f1a7d3b..b521de7fbe 100644 --- a/libavfilter/dnn/dnn_backend_tf.c +++ b/libavfilter/dnn/dnn_backend_tf.c @@ -735,7 +735,7 @@ static void infer_completion_callback(void *args) { outputs[i].width = TF_Dim(infer_request->output_tensors[i], 2); outputs[i].channels = TF_Dim(infer_request->output_tensors[i], 3); outputs[i].data = TF_TensorData(infer_request->output_tensors[i]); - outputs[i].dt = TF_TensorType(infer_request->output_tensors[i]); + outputs[i].dt = (DNNDataType)TF_TensorType(infer_request->output_tensors[i]); } switch (tf_model->model->func_type) { case DFT_PROCESS_FRAME: