| __init__(self, internal_cell, dropout_ratio=None, use_cudnn=False, kwargs) (defined in caffe2.python.rnn_cell.DropoutCell) | caffe2.python.rnn_cell.DropoutCell | |
| __init__(self, name=None, forward_only=False, initializer=None) (defined in caffe2.python.rnn_cell.RNNCell) | caffe2.python.rnn_cell.RNNCell | |
| apply(self, model, input_t, seq_lengths, states, timestep) (defined in caffe2.python.rnn_cell.RNNCell) | caffe2.python.rnn_cell.RNNCell | |
| apply_over_sequence(self, model, inputs, seq_lengths=None, initial_states=None, outputs_with_grads=None) (defined in caffe2.python.rnn_cell.RNNCell) | caffe2.python.rnn_cell.RNNCell | |
| apply_override(self, model, input_t, seq_lengths, timestep, extra_inputs=None) | caffe2.python.rnn_cell.RNNCell | |
| dropout_ratio (defined in caffe2.python.rnn_cell.DropoutCell) | caffe2.python.rnn_cell.DropoutCell | |
| forward_only (defined in caffe2.python.rnn_cell.RNNCell) | caffe2.python.rnn_cell.RNNCell | |
| get_output_dim (defined in caffe2.python.rnn_cell.DropoutCell) | caffe2.python.rnn_cell.DropoutCell | |
| caffe2::python::rnn_cell::RNNCell.get_output_dim(self) | caffe2.python.rnn_cell.RNNCell | |
| get_output_state_index (defined in caffe2.python.rnn_cell.DropoutCell) | caffe2.python.rnn_cell.DropoutCell | |
| caffe2::python::rnn_cell::RNNCell.get_output_state_index(self) | caffe2.python.rnn_cell.RNNCell | |
| get_state_names (defined in caffe2.python.rnn_cell.DropoutCell) | caffe2.python.rnn_cell.DropoutCell | |
| caffe2::python::rnn_cell::RNNCell.get_state_names(self) | caffe2.python.rnn_cell.RNNCell | |
| get_state_names_override(self) | caffe2.python.rnn_cell.RNNCell | |
| initializer(self) (defined in caffe2.python.rnn_cell.RNNCell) | caffe2.python.rnn_cell.RNNCell | |
| initializer(self, value) (defined in caffe2.python.rnn_cell.RNNCell) | caffe2.python.rnn_cell.RNNCell | |
| internal_cell (defined in caffe2.python.rnn_cell.DropoutCell) | caffe2.python.rnn_cell.DropoutCell | |
| is_test (defined in caffe2.python.rnn_cell.DropoutCell) | caffe2.python.rnn_cell.DropoutCell | |
| mask (defined in caffe2.python.rnn_cell.DropoutCell) | caffe2.python.rnn_cell.DropoutCell | |
| name (defined in caffe2.python.rnn_cell.RNNCell) | caffe2.python.rnn_cell.RNNCell | |
| prepare_input (defined in caffe2.python.rnn_cell.DropoutCell) | caffe2.python.rnn_cell.DropoutCell | |
| caffe2::python::rnn_cell::RNNCell.prepare_input(self, model, input_blob) | caffe2.python.rnn_cell.RNNCell | |
| recompute_blobs (defined in caffe2.python.rnn_cell.RNNCell) | caffe2.python.rnn_cell.RNNCell | |
| scope(self, name) (defined in caffe2.python.rnn_cell.RNNCell) | caffe2.python.rnn_cell.RNNCell | |
| use_cudnn (defined in caffe2.python.rnn_cell.DropoutCell) | caffe2.python.rnn_cell.DropoutCell | |