brooks_0519
brooks_0519
@yinyuhangi @momo1986 I have run the project on CUDA9 correctly with the following steps: 1. conda create --name CornerNet_Lite --file conda_packagelist.txt --channel pytorch 2. source activate CornerNet_Lite 3. conda uninstall...
@Tian14267 The same problems with you. Besides, when I feed the input with same length but different text token, the onnxruntime inference result is worse because of the mel output...
Because the output of duration_prediction of different tokens with same length is different. if we convert fastspeech2 to a single onnx model, we finally met the problems above. To fix...