What is the kernel size of dilated convolution?

[arijit17]

It paper it says " Each residual dilated convolution stack has three layers with dilation 1, 3 and 9 with kernel-size 3".
Also, in Figure 4 it seems to be the case.

However, when I run the code, it seems to be:

(4): ResnetBlock(
      (block): Sequential(
        (0): LeakyReLU(negative_slope=0.2)
        (1): ReflectionPad1d((1, 1))
        (2): Conv1d(256, 256, kernel_size=(3,), stride=(1,))
        (3): LeakyReLU(negative_slope=0.2)
        (4): Conv1d(256, 256, kernel_size=(1,), stride=(1,))
      )
      (shortcut): Conv1d(256, 256, kernel_size=(1,), stride=(1,))
    )
    (5): ResnetBlock(
      (block): Sequential(
        (0): LeakyReLU(negative_slope=0.2)
        (1): ReflectionPad1d((3, 3))
        (2): Conv1d(256, 256, kernel_size=(3,), stride=(1,), dilation=(3,))
        (3): LeakyReLU(negative_slope=0.2)
        (4): Conv1d(256, 256, kernel_size=(1,), stride=(1,))
      )
      (shortcut): Conv1d(256, 256, kernel_size=(1,), stride=(1,))
    )
    (6): ResnetBlock(
      (block): Sequential(
        (0): LeakyReLU(negative_slope=0.2)
        (1): ReflectionPad1d((9, 9))
        (2): Conv1d(256, 256, kernel_size=(3,), stride=(1,), dilation=(9,))
        (3): LeakyReLU(negative_slope=0.2)
        (4): Conv1d(256, 256, kernel_size=(1,), stride=(1,))
      )
      (shortcut): Conv1d(256, 256, kernel_size=(1,), stride=(1,))
    )