Nate Wildermuth

In the meantime, a simple fix locally is to install protobuf. Using conda: `conda install protobuf`

I'm seeing the same thing, and am running a comparison between the current model and a modified model that is passed `z` rather than `latent mu`.

@AlexGonRo I am using the carRacing environment. I'm switching to a cloud server with multiple V100s, as my experiments were inconclusive running on my single 1080ti with only 8 CPUs....

@waiyc, you'll want to add `drop_last=True` as an argument to the DataLoader. This resolved the problem for me, as the difference in batch sizes caused the error. https://github.com/ctallec/world-models/blob/master/trainmdrnn.py#L79

Am I understanding correctly that subscriptions do not work in the latest versions of Apollo Client running in React Native?

The pretrained weights are lacking the pred_fc1 and pred_fc2 weights. The weights include a single fc layer that is ignored when loaded into the model. It also has a shape...

The pretrained weight file has FER+ in it, which clued me into the problem. It was obviously trained on a different model architecture.

I didn't run the eval on AFEW, but rather on faces in a custom dataset. If you're using the pretrained weights, I believe you'll need to retrain the model while...

@iPsych https://github.com/Open-Debin/Emotion-FAN/blob/master/Code/load_materials.py#L50-L55 to ``` for key in pretrained_state_dict: if (key == 'module.fc.weight'): model_state_dict['pred_fc1.weight'] = pretrained_state_dict[key] elif (key == 'module.fc.bias'): model_state_dict['pred_fc1.bias'] = pretrained_state_dict[key] else: model_state_dict[key.replace('module.', '')] = pretrained_state_dict[key] ``` And https://github.com/Open-Debin/Emotion-FAN/blob/master/Code/Model.py#L119...

Yeah, I did the same with dlib, except that you do need to increase the scale of the face-extract by 25%, according to the paper. For inference, I had to...