__init__(self, input_size, hidden_size, forget_bias, memory_optimization, drop_states=False, initializer=None, kwargs) (defined in caffe2.python.rnn_cell.LSTMCell) | caffe2.python.rnn_cell.LSTMCell | |
__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, states, timestep, extra_inputs=None) (defined in caffe2.python.rnn_cell.LSTMCell) | caffe2.python.rnn_cell.LSTMCell | |
caffe2::python::rnn_cell::RNNCell.apply_override(self, model, input_t, seq_lengths, timestep, extra_inputs=None) | caffe2.python.rnn_cell.RNNCell | |
drop_states (defined in caffe2.python.rnn_cell.LSTMCell) | caffe2.python.rnn_cell.LSTMCell | |
forget_bias (defined in caffe2.python.rnn_cell.LSTMCell) | caffe2.python.rnn_cell.LSTMCell | |
forward_only (defined in caffe2.python.rnn_cell.RNNCell) | caffe2.python.rnn_cell.RNNCell | |
gates_size (defined in caffe2.python.rnn_cell.LSTMCell) | caffe2.python.rnn_cell.LSTMCell | |
get_input_params(self) (defined in caffe2.python.rnn_cell.LSTMCell) | caffe2.python.rnn_cell.LSTMCell | |
get_output_dim(self) (defined in caffe2.python.rnn_cell.LSTMCell) | caffe2.python.rnn_cell.LSTMCell | |
get_output_state_index(self) | caffe2.python.rnn_cell.RNNCell | |
get_recurrent_params(self) (defined in caffe2.python.rnn_cell.LSTMCell) | caffe2.python.rnn_cell.LSTMCell | |
get_state_names(self) | caffe2.python.rnn_cell.RNNCell | |
get_state_names_override(self) (defined in caffe2.python.rnn_cell.LSTMCell) | caffe2.python.rnn_cell.LSTMCell | |
hidden_size (defined in caffe2.python.rnn_cell.LSTMCell) | caffe2.python.rnn_cell.LSTMCell | |
initializer (defined in caffe2.python.rnn_cell.LSTMCell) | caffe2.python.rnn_cell.LSTMCell | |
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 | |
input_size (defined in caffe2.python.rnn_cell.LSTMCell) | caffe2.python.rnn_cell.LSTMCell | |
memory_optimization (defined in caffe2.python.rnn_cell.LSTMCell) | caffe2.python.rnn_cell.LSTMCell | |
name (defined in caffe2.python.rnn_cell.RNNCell) | caffe2.python.rnn_cell.RNNCell | |
prepare_input(self, model, input_blob) (defined in caffe2.python.rnn_cell.LSTMCell) | caffe2.python.rnn_cell.LSTMCell | |
recompute_blobs (defined in caffe2.python.rnn_cell.LSTMCell) | caffe2.python.rnn_cell.LSTMCell | |
scope(self, name) (defined in caffe2.python.rnn_cell.RNNCell) | caffe2.python.rnn_cell.RNNCell | |