72e326dde38cb731424210bfd6e56f301ddc9e2b,keras/layers/convolutional.py,ZeroPadding1D,__init__,#ZeroPadding1D#Any#,2065

Before Change

    def __init__(self, padding=1, **kwargs):
        super(ZeroPadding1D, self).__init__(**kwargs)
        self.padding = conv_utils.normalize_tuple(padding, 2, "padding")
        self.input_spec = InputSpec(ndim=3)

    def compute_output_shape(self, input_shape):
        if input_shape[1] is not None:
            length = input_shape[1] + self.padding[0] + self.padding[1]

After Change

    

    def __init__(self, padding=1, **kwargs):
        normalized_padding = (conv_utils.normalize_tuple(padding, 2, "padding"),)
        super(ZeroPadding1D, self).__init__(normalized_padding,
                                            "channels_last",
                                            **kwargs)

Instances