keras/src/layers/convolutional/base_conv.py/BaseConv/call
class BaseConv:    def call(self, inputs):
        outputs = self.convolution_op(
            inputs,
            self.kernel,
        )
        if self.use_bias:
            if self.data_format == "channels_last":
                bias_shape = (1,) * (self.rank + 1) + (self.filters,)
            else:
                bias_shape = (1, self.filters) + (1,) * self.rank
            bias = ops.reshape(self.bias, bias_shape)
            outputs += bias

        if self.activation is not None:
            return self.activation(outputs)
        return outputs