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

Before Change

        else:
            self.b = None

        if self.initial_weights is not None:
            self.set_weights(self.initial_weights)
            del self.initial_weights
        self.built = True

    def get_output_shape_for(self, input_shape):
        if self.data_format == "channels_first":

After Change

        self.pointwise_constraint = pointwise_constraint

    def build(self, input_shape):
        if len(input_shape) < 4:
            raise ValueError("Inputs to `SeparableConv2D` should have rank 4. "
                             "Received input shape:", str(input_shape))
        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(

Instances