I ran the lesson 1 codes on Colab. The codes work but I got many lines of verbose warnings whenever it trains. For example,
got this warning repeated many times over:
/usr/local/lib/python3.6/dist-packages/torch/nn/functional.py:3000: UserWarning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.
And I didn’t get the summary table
epoch train_loss valid_loss error_rate
|1 |0.242544| 0.208489| 0.067659|
|2 |0.206940| 0.204482| 0.062246|
I want to know how to fix it. Thanks!