Caffe2 - Python API
A deep learning, cross platform ML framework
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caffe2.python.rnn_cell.DropoutCell Class Reference
Inheritance diagram for caffe2.python.rnn_cell.DropoutCell:

Public Member Functions

def __init__ (self, internal_cell, dropout_ratio=None, use_cudnn=False, kwargs)
- Public Member Functions inherited from caffe2.python.rnn_cell.RNNCell
def __init__ (self, name=None, forward_only=False, initializer=None)
def initializer (self)
def initializer (self, value)
def scope (self, name)
def apply_over_sequence (self, model, inputs, seq_lengths=None, initial_states=None, outputs_with_grads=None)
def apply (self, model, input_t, seq_lengths, states, timestep)
def apply_override (self, model, input_t, seq_lengths, timestep, extra_inputs=None)
def prepare_input (self, model, input_blob)
def get_output_state_index (self)
def get_state_names (self)
def get_state_names_override (self)
def get_output_dim (self)

Public Attributes

- Public Attributes inherited from caffe2.python.rnn_cell.RNNCell

Detailed Description

Wraps arbitrary RNNCell, applying dropout to its output (but not to the
recurrent connection for the corresponding state).

Definition at line 816 of file

The documentation for this class was generated from the following file: