there is a bug about 'get_ dropout_ mask_ for_cell' in recurrent.py

[ross-Hr]

The batch size of my program changes dynamically, but the function 'get_ dropout_ mask_ for_cell' in recurrent.py can only generate a fixed size of ​mask.

After run the code like ' inputs_i = inputs * dp_mask[0] ' an error occured.

Because my inputs shape like [5274,512] but dp_mask[0] like [9,512]. After the code initializes the dimension(9), the program will change the batch dimension to 5274.

So how can i fix it?