2Vh 0ddlmZddlmZGddZy))backend)opsc.eZdZdZdZdZdZdZdZy)DropoutRNNCellaObject that holds dropout-related functionality for RNN cells. This class is not a standalone RNN cell. It suppose to be used with a RNN cell by multiple inheritance. Any cell that mix with class should have following fields: - `dropout`: a float number in the range `[0, 1]`. Dropout rate for the input tensor. - `recurrent_dropout`: a float number in the range `[0, 1]`. Dropout rate for the recurrent connections. - `seed_generator`, an instance of `backend.random.SeedGenerator`. This object will create and cache dropout masks, and reuse them for all incoming steps, so that the same mask is used for every step. c2t|dd}tj|}|,tjj |||j St|Dcgc].}tjj |||j 0c}Scc}w)Ndropout_mask_count)rateseed)getattrr ones_likerrandomdropoutseed_generatorrange)self step_input dropout_ratecountones_s U/home/dcms/DCMS/lib/python3.12/site-packages/keras/src/layers/rnn/dropout_rnn_cell.py_create_dropout_maskz#DropoutRNNCell._create_dropout_masks2D9}}Z( =>>))r.s=,=,r