About resolution levels

[Szkered]

dilation = 1 for w, b in zip(H_weights, H_biases): x = tf.nn.relu(conv(x, w, b, filter_length, dilation)) H_outputs.append(x) dilation *= 2

Doesn't this code make the first G conv layer G4 rather than G3? Since H3 already has dilation of 2**(3-1), the last line would make G3 has dilation of 2**(4-1). Although this doesn't affect the performance very much, since it's just one more resolution level.