Fix None Type error while using MultiHeadAttention #191
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1. Fix the bug of parameter number calculation when there are more than one output variables, including both sequence case and dict case. 2. Make multuple output variables split into multiple lines. 3. Remove the last line break of summary_string() 4. Enable argument "device" to accept both str and torch.device. 5. Fix a bug when the model requires "batch_size" to be a specific number. 6. Fix a bug caused by multiple input case when "dtypes=None". 7. Add text auto wrap when the layer name is too long. 8. Add docstring.
Support counting all parameters instead of `weight` and `bias`.
Using numpy sum/prod to calculate the total size may cause overflow problem. This modification would drop the numpy and use the python built-in method to calculate the size.
Fix the bug caused by layers with dict input values.
Fix the data type of the output params_info from torch.tensor to int.
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This PR is modified based on previous PR #165 by @cainmagi ,
Main change features:
not array likeelements in forward output list/tuple/dict. For example, MultiHeadAttention module return a tuple which contain a NoneType value as a placeholder of attention weight.-1tobatch_sizein dict/list/tuple output shape because I believe it will be more properly.