code: def exp_decay_oscar(x, warmup=0.001):
      s = tf.cast(x <= warmup, tf.float32)
      return s * (x / warmup) + (1 - s) * (
          1 / (1.005 ** (1000 * (x - warmup) / (1 - warmup)))
      )
  
file_path: finetune/finetune/optimizers/learning_rate_schedules.py
imports: import math
  import tensorflow
  from itertools import zip_longest
  import tensorflow
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.eager import context
label_desc: Use image node_id 4 for calling a global function with example usage: exp_decay_oscar(x, warmup) and returns: unknown