class_docstr: note: use with a base_lr of 1.0
class_docstr_tok: ["note",":","use","with","a","base_lr","of","1.0"]
code: def __init__(
      self,
      warm_up_steps,
      lr_min,
      lr_max,
      lr_start,
      max_decay_steps,
      verbosity_interval=0,
  ):
      self.lr_warm_up_steps = warm_up_steps
      self.lr_start = lr_start
      self.lr_min = lr_min
      self.lr_max = lr_max
      self.lr_max_decay_steps = max_decay_steps
      self.last_lr = 0.0
      self.verbosity_interval = verbosity_interval
  
file_path: compvis-stable-diffusion/ldm/lr_scheduler.py
imports: import numpy
label_desc: Use image node_id 1 to create a new LambdaWarmUpCosineScheduler object  with example: obj = LambdaWarmUpCosineScheduler(warm_up_steps, lr_min, lr_max, lr_start, max_decay_steps, verbosity_interval)