Python lasagne.layers.MergeLayer() Examples

The following are 2 code examples of lasagne.layers.MergeLayer(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module lasagne.layers , or try the search function .
Example #1
Source File: crf.py    From LasagneNLP with Apache License 2.0 6 votes vote down vote up 
def __init__(self, incoming, num_labels, mask_input=None, W=init.GlorotUniform(), b=init.Constant(0.), **kwargs):
        # This layer inherits from a MergeLayer, because it can have two
        # inputs - the layer input, and the mask.
        # We will just provide the layer input as incomings, unless a mask input was provided.

        self.input_shape = incoming.output_shape
        incomings = [incoming]
        self.mask_incoming_index = -1
        if mask_input is not None:
            incomings.append(mask_input)
            self.mask_incoming_index = 1

        super(CRFLayer, self).__init__(incomings, **kwargs)
        self.num_labels = num_labels + 1
        self.pad_label_index = num_labels

        num_inputs = self.input_shape[2]
        self.W = self.add_param(W, (num_inputs, self.num_labels, self.num_labels), name="W")

        if b is None:
            self.b = None
        else:
            self.b = self.add_param(b, (self.num_labels, self.num_labels), name="b", regularizable=False)
Example #2
Source File: parser.py    From LasagneNLP with Apache License 2.0 6 votes vote down vote up 
def __init__(self, incoming, num_labels, mask_input=None, W_h=init.GlorotUniform(), W_c=init.GlorotUniform(),
                 b=init.Constant(0.), **kwargs):
        # This layer inherits from a MergeLayer, because it can have two
        # inputs - the layer input, and the mask.
        # We will just provide the layer input as incomings, unless a mask input was provided.
        self.input_shape = incoming.output_shape
        incomings = [incoming]
        self.mask_incoming_index = -1
        if mask_input is not None:
            incomings.append(mask_input)
            self.mask_incoming_index = 1

        super(DepParserLayer, self).__init__(incomings, **kwargs)
        self.num_labels = num_labels
        num_inputs = self.input_shape[2]

        # add parameters
        self.W_h = self.add_param(W_h, (num_inputs, self.num_labels), name='W_h')

        self.W_c = self.add_param(W_c, (num_inputs, self.num_labels), name='W_c')

        if b is None:
            self.b = None
        else:
            self.b = self.add_param(b, (self.num_labels,), name='b', regularizable=False)