Cristián Serpell

From the error description, it seems it failed to download a file. Anyway, you should try to run docker without `sudo`.

I have the same question asked in #1118 .

I would like to be sure that the method provided by @Seam8 makes the model to use the same scaler (StandardScaler), instead of creating different for each dataset.

Does Google Drive keep a copy of the old file in history when browsing through web client?

I get your point. Just for the record, when browsing your files, click over one and at the right hand side, there is an "Activity" panel with versions.

Same error here, cannot go for tensorflow 2.5 because of this. I am using python 3.9, though. I cannot save any model with DistributionLamda.

If it helps, I checked that the actual call to `__call__` in [Layer](https://github.com/tensorflow/tensorflow/blob/v2.5.0/tensorflow/python/keras/engine/base_layer.py) gets completely executed and then, when it returns, the calls to `__exit__` of the [CallContextManager](https://github.com/tensorflow/tensorflow/blob/v2.5.0/tensorflow/python/keras/engine/base_layer_utils.py)s begin to...

Hi, is there any hint on this? It continues happening, according to [this example](https://colab.research.google.com/drive/1jvC4GS8ru7R8_G8B7ePNwhirPqZDO3vG?usp=sharing) I did. Is #1382 related?

As a workaround, I confirm that weights can be stored and then loaded back in another declared model: ```python the_model = models.Model(...) the_model.save_weights('file_name') ... another_model = models.Model(...) another_model.load_weights('file_name') ```

> Will do so. Any way I could help? I would like to try tensorforce, but my environment is fully developed in the 0.25.2 gym version.