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mxnet.initializer.FusedRNN

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

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)

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

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