023331ec2a7b0086abfc81eca16c84a1692ee653,keras/layers/convolutional.py,Convolution2D,build,#Convolution2D#Any#,420

Before Change

    def build(self, input_shape):
        if self.data_format == "channels_first":
            stack_size = input_shape[1]
            self.W_shape = (self.nb_filter, stack_size, self.nb_row, self.nb_col)
        elif self.data_format == "channels_last":
            stack_size = input_shape[3]
            self.W_shape = (self.nb_row, self.nb_col, stack_size, self.nb_filter)
        else:

After Change

        if self.data_format == "channels_first":
            channel_axis = 1
        else:
            channel_axis = 3
        if input_shape[channel_axis] is None:
            raise ValueError("The channel dimension of the inputs to "
                             "`SeparableConv2D` "
                             "should be defined. Found `None`.")
        input_dim = int(input_shape[channel_axis])
        depthwise_kernel_shape = (self.kernel_size[0],
                                  self.kernel_size[1],
                                  input_dim,
                                  self.depth_multiplier)
        pointwise_kernel_shape = (1, 1,
                                  self.depth_multiplier * input_dim,
                                  self.filters)

        self.depthwise_kernel = self.add_weight(
            depthwise_kernel_shape,
            initializer=self.depthwise_initializer,

Instances