code: def style_mod(x, dlatent, **kwargs):
      with tf.variable_scope("StyleMod"):
          style = apply_bias(
              dense(dlatent, fmaps=x.shape[1] * 2, gain=1, **kwargs)
          )
          style = tf.reshape(
              style, [-1, 2, x.shape[1]] + [1] * (len(x.shape) - 2)
          )
          return x * (style[:, 0] + 1) + style[:, 1]
  
imports: import numpy
  import tensorflow
  import dnnlib
  import dnnlib.tflib
label_desc: Use image node_id 16 for calling a global function with example usage: style_mod(x, dlatent) and returns: unknown