023331ec2a7b0086abfc81eca16c84a1692ee653,keras/layers/convolutional.py,Convolution1D,build,#Convolution1D#Any#,127

Before Change

    def build(self, input_shape):
        input_dim = input_shape[2]
        self.W_shape = (self.filter_length, 1, input_dim, self.nb_filter)

        self.W = self.add_weight(self.W_shape,
                                 initializer=self.init,
                                 name="{}_W".format(self.name),

After Change

        self.input_spec = [InputSpec(ndim=4)]

    def build(self, input_shape):
        if len(input_shape) != 4:
            raise ValueError("Inputs should have rank " +
                             str(4) +
                             "Received input shape:", str(input_shape))
        if self.data_format == "channels_first":
            channel_axis = 1
        else:
            channel_axis = -1
        if input_shape[channel_axis] is None:
            raise ValueError("The channel dimension of the inputs "
                             "should be defined. Found `None`.")
        input_dim = input_shape[channel_axis]

Instances