Is RNN model time major or batch major

I think RNN model in Pytorch is batch major, the shape of input data should be ( n_batch, n_step, input_size). But in the demo code about the word_language_model , it seems that the data input to rnn model is time major, which shape is ( n_step, n_batch, input_size). This confused me. Could anyone explain it? Thanks

batch_first flag controls that.

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The LSTM model does have batch_first flag, but the RNN model implemented in torch.nn does not have batch_first flag.

What do you mean? All recurrent layers have. Here is the one for nn.RNN

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Thanks. I found it finally after upgrading my torch package. :slight_smile: