What's the difference between batch and batch_size?

1

Hi,There is a problem I don’t quite understand
In Pytorch,the input shape of RNN is 【seq_len, batch, input_size】or 【batch, seq_len, input_size】,
In Keras, the input shape of RNN is 【batch_size, time_steps, input_dim】,

so,Do batch_size and batch mean the same？I found some different answers on stackoverflow, but it made me more confused.like this：

I think
【the total data = Batch * Batch_size】
just like，in pytorch，the batch_size of【Dataloader】:
image
but I dont know if I am aright.

2

batch in pytorch LSTM documentation == batch_size in Keras RNN documentation

3

Thank you for your reply，
I quite agree with you，but,if it is true, Why not write the 【batch_size】 in the LSTM(pytorch)？ because the dataloader is written with batch_ size.and in the meaning of dataloader，it seems that batch and batch_size are different.
in other words，