code: def apply_bias(x, lrmul=1):
      b = (
          tf.get_variable(
              "bias",
              shape=[x.shape[1]],
              initializer=tf.initializers.zeros(),
          )
          * lrmul
      )
      b = tf.cast(b, x.dtype)
      if len(x.shape) == 2:
          return x + b
      return x + tf.reshape(b, [1, -1, 1, 1])
  
imports: import numpy
  import tensorflow
  import dnnlib
  import dnnlib.tflib
label_desc: Use image node_id 12 for calling a global function with example usage: apply_bias(x, lrmul) and returns: unknown, unknown