tsurumeso

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Please follow the instructions below to install the GPU version of PyTorch. https://pytorch.org/get-started/locally/

Python 2 is not supported. Please use Python 3 and install the required packages according to README.

What are the versions of PyTorch and NumPy? You can check it with the `pip freeze` command. I am using PyTorch 1.12.0 and Numpy 1.23.1.

Hmm... I can't reproduce the problem. Please refer to #110.

`mixtures` is a mixture of an instrumental track and a vocal track. I can't publish my dataset, but you can download the following public dataset instead. https://sigsep.github.io/datasets/dsd100.html

I think that's a good approach, but it increases GPU memory consumption significantly. Memory-efficient approaches are as follows: - Add an additional convolutional layer to Decoder. - Increase the filter...

The size of the dataset should be at least 5 pairs when using the default `--val_rate`.

If the number of instruments is different from that of mixtures, the error occurs. Please check your dataset directory and make sure that the numbers are the same.

![dataset](https://user-images.githubusercontent.com/24620594/161070563-dcc7e914-93c9-4610-95ac-ad80828d5702.png)

If you use the default parameters, the size of the dataset should be at least 5 pairs.