An implementation of sequential MNIST, using PyTorch Lightning
This is a quick implementation of sequential MNIST, using PyTorch Lightning.
Run tensorboard --logdir experiments to visualize results in real time:
In lstm_model.py
@ line 10: self.lstm = torch.nn.LSTM(input_scan_dim, hidden_dim)
The default value of batch_first is False. Therefore, we should expect the input x should have
dim like (seq_len, batch_sze, feature_sz)
@line 19: batch_size = x.size(0)
So, this should be x.size(1) for batch_first being False.
Thank you for your clarification.
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