Table Of Contents
Table Of Contents

FusedRNN

class mxnet.initializer.FusedRNN(init, num_hidden, num_layers, mode, bidirectional=False, forget_bias=1.0)[source]

Initialize parameters for fused rnn layers.

Parameters:
  • init (Initializer) – initializer applied to unpacked weights. Fall back to global initializer if None.
  • num_hidden (int) – should be the same with arguments passed to FusedRNNCell.
  • num_layers (int) – should be the same with arguments passed to FusedRNNCell.
  • mode (str) – should be the same with arguments passed to FusedRNNCell.
  • bidirectional (bool) – should be the same with arguments passed to FusedRNNCell.
  • forget_bias (float) – should be the same with arguments passed to FusedRNNCell.
__init__(init, num_hidden, num_layers, mode, bidirectional=False, forget_bias=1.0)[source]

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__(init, num_hidden, num_layers, mode) Initialize self.
dumps() Saves the initializer to string
set_verbosity([verbose, print_func]) Switch on/off verbose mode