ConvolutionTranspose2D.py 文件源码

def __init__(self, nb_filter, nb_row, nb_col,
                 init='glorot_uniform', activation='linear', weights=None,
                 border_mode='valid', subsample=(1, 1), dim_ordering=K.image_dim_ordering(),
                 W_regularizer=None, b_regularizer=None, activity_regularizer=None,
                 W_constraint=None, b_constraint=None,
                 bias=True, **kwargs):

        if border_mode not in {'valid', 'same'}:
            raise Exception('Invalid border mode for Convolution2D:', border_mode)
        self.nb_filter = nb_filter
        self.nb_row = nb_row
        self.nb_col = nb_col
        self.dim_ordering = dim_ordering
        self.init = initializations.get(init, dim_ordering=self.dim_ordering)
        self.activation = activations.get(activation)
        assert border_mode in {'valid', 'same'}, 'border_mode must be in {valid, same}'
        self.border_mode = border_mode
        self.subsample = tuple(subsample)


        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=4)]
        self.initial_weights = weights

        super(ConvolutionTranspose2D, self).__init__(**kwargs)