TDL77

все переустановил , но таже ошибка 

> Hi, > > RevIN is a flexible, end-to-end trainable layer that can be applied to any arbitrarily chosen layers, effectively suppressing non-stationary information (mean and variance of the instance)...

I have the same problem when training just with neuralforecast , without using ray. There are 2 video cards and I prescribe in the network parameters: strategy='ddp_notebook', # 'dp'|'ddp_notebook'/'ddp_spawn' accelerator...

from sklift.datasets import fetch_x5 dataset = fetch_x5(data_home='./my_data') вот так проблема решилась