0f0d8be884a5383f29c945d7fe3a1baf4d3b11e2,keras/layers/convolutional.py,SeparableConvolution2D,__init__,#SeparableConvolution2D#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,891

Before Change

        self.border_mode = border_mode
        self.subsample = tuple(subsample)
        self.depth_multiplier = depth_multiplier
        assert dim_ordering in {"tf", "th"}, "dim_ordering must be in {tf, th}"
        self.dim_ordering = dim_ordering

        self.depthwise_regularizer = regularizers.get(depthwise_regularizer)
        self.pointwise_regularizer = regularizers.get(pointwise_regularizer)

After Change

        self.nb_col = nb_col
        self.init = initializations.get(init, dim_ordering=dim_ordering)
        self.activation = activations.get(activation)
        if border_mode not in {"valid", "same"}:
            raise ValueError("border_mode must be in {valid, same}.")
        self.border_mode = border_mode
        self.subsample = tuple(subsample)
        self.depth_multiplier = depth_multiplier
        if dim_ordering not in {"tf", "th"}:
            raise ValueError("dim_ordering must be in {tf, th}.")
        self.dim_ordering = dim_ordering

        self.depthwise_regularizer = regularizers.get(depthwise_regularizer)
        self.pointwise_regularizer = regularizers.get(pointwise_regularizer)

Instances