def __init__(self, nb_filter, filter_length,
init='glorot_uniform', activation=None, weights=None,
border_mode='valid', subsample_length=1,
W_regularizer=None, b_regularizer=None, activity_regularizer=None,
W_constraint=None, b_constraint=None,
bias=True, input_dim=None, input_length=None, **kwargs):
if border_mode != 'valid':
raise Exception('Invalid border mode for LocallyConnected1D '
'(only "valid" is supported):', border_mode)
self.nb_filter = nb_filter
self.filter_length = filter_length
self.init = initializations.get(init, dim_ordering='th')
self.activation = activations.get(activation)
self.border_mode = border_mode
self.subsample_length = subsample_length
self.W_regularizer = regularizers.get(W_regularizer)
self.b_regularizer = regularizers.get(b_regularizer)
self.activity_regularizer = regularizers.get(activity_regularizer)
self.W_constraint = constraints.get(W_constraint)
self.b_constraint = constraints.get(b_constraint)
self.bias = bias
self.input_spec = [InputSpec(ndim=3)]
self.initial_weights = weights
self.input_dim = input_dim
self.input_length = input_length
if self.input_dim:
kwargs['input_shape'] = (self.input_length, self.input_dim)
super(LocallyConnected1D, self).__init__(**kwargs)
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