snowmintowo

`output_dir` is which directory you want to store the TFRecord output, you can simply use `--output_dir ./output`. Just set `output_dir` is not enough, you also need to specify the directory...

I add the `multitask = False` in config.py And change the `runs` to `checkpoints` in action_pipeline.py Then get the error below: ``` conditioned-u-net/code$ . ./train_uspec.sh INFO - unet - Running...

I have download the training data Solos raw25, and set the path in `train_uspec.sh`: `CUDA_VISIBLE_DEVICES=0 python train_uspec.py with exp_config.dataset_dir='./Solos_raw25'` I'm curious about how to pre-process the dataset? It seems didn't...

Thank you for your quick reply, I'll try to do that first!

I have pre-processed all the folders, and change the config.py dataset_dir to my path `dataset_dir='./Solos_raw25/videos',` But still get the same error message: ``` conditioned-u-net/code$ . ./train_uspec.sh INFO - unet -...

Seems my dataset didn't have complete data, let me check about my dataset. I'll try to debug as your advice, thank you very much!

I re-download the Solos dataset and pre-processed all the audio file into 11025Hz (Only 639 file due to download link been delete or setting to private): ...

I am able to do training with batch_size set to 1, but the loss doesn't converge. However, when I set the batch_size > 1, I get this `RuntimeError: each element...

Hi, I am able to run the training code with batch_size set to 16 (due to hardware constraint) after I commented out the returned item "aux_source_indices" in the "solos.py" file,...

Thank you for your reply! I tried to run the "test_uspec.py" file using the checkpoint files that I trained, and got the errors shown in the screenshot below:  For...