class_docstr: TQDM Progress Bar for Tensorflow Keras.
  
  Args:
      metrics_separator: Custom separator between metrics.
          Defaults to ' - '.
      overall_bar_format: Custom bar format for overall
          (outer) progress bar, see https://github.com/tqdm/tqdm#parameters
          for more detail.
      epoch_bar_format: Custom bar format for epoch
          (inner) progress bar, see https://github.com/tqdm/tqdm#parameters
          for more detail.
      update_per_second: Maximum number of updates in the epochs bar
          per second, this is to prevent small batches from slowing down
          training. Defaults to 10.
      metrics_format: Custom format for how metrics are formatted.
          See https://github.com/tqdm/tqdm#parameters for more detail.
      leave_epoch_progress: `True` to leave epoch progress bars.
      leave_overall_progress: `True` to leave overall progress bar.
      show_epoch_progress: `False` to hide epoch progress bars.
      show_overall_progress: `False` to hide overall progress bar.
class_docstr_tok: ["TQDM","Progress","Bar","for","Tensorflow","Keras",".","Args",":","metrics_separator",":","Custom","separator","between","metrics",".","Defaults","to","'","-","'",".","overall_bar_format",":","Custom","bar","format","for","overall","(","outer",")","progress","bar",",","see","https",":","\/\/github.com\/tqdm\/tqdm","#","parameters","for","more","detail",".","epoch_bar_format",":","Custom","bar","format","for","epoch","(","inner",")","progress","bar",",","see","https",":","\/\/github.com\/tqdm\/tqdm","#","parameters","for","more","detail",".","update_per_second",":","Maximum","number","of","updates","in","the","epochs","bar","per","second",",","this","is","to","prevent","small","batches","from","slowing","down","training",".","Defaults","to","10.","metrics_format",":","Custom","format","for","how","metrics","are","formatted",".","See","https",":","\/\/github.com\/tqdm\/tqdm","#","parameters","for","more","detail",".","leave_epoch_progress",":","`","True","`","to","leave","epoch","progress","bars",".","leave_overall_progress",":","`","True","`","to","leave","overall","progress","bar",".","show_epoch_progress",":","`","False","`","to","hide","epoch","progress","bars",".","show_overall_progress",":","`","False","`","to","hide","overall","progress","bar","."]
code: def __init__(
      self,
      metrics_separator: str = " - ",
      overall_bar_format: str = "{l_bar}{bar} {n_fmt}/{total_fmt} ETA: "
      "{remaining}s,  {rate_fmt}{postfix}",
      epoch_bar_format: str = "{n_fmt}/{total_fmt}{bar} ETA: "
      "{remaining}s - {desc}",
      metrics_format: str = "{name}: {value:0.4f}",
      update_per_second: int = 10,
      leave_epoch_progress: bool = True,
      leave_overall_progress: bool = True,
      show_epoch_progress: bool = True,
      show_overall_progress: bool = True,
  ):
      try:
          # import tqdm here because tqdm is not a required package
          # for addons
          import tqdm
  
          version_message = (
              "Please update your TQDM version to >= 4.36.1, "
          )
          "you have version {}. To update, run !pip install -U tqdm"
          assert tqdm.__version__ >= "4.36.1", version_message.format(
              tqdm.__version__
          )
          from tqdm.auto import tqdm
  
          self.tqdm = tqdm
      except ImportError:
          raise ImportError("Please install tqdm via pip install tqdm")
  
      self.metrics_separator = metrics_separator
      self.overall_bar_format = overall_bar_format
      self.epoch_bar_format = epoch_bar_format
      self.leave_epoch_progress = leave_epoch_progress
      self.leave_overall_progress = leave_overall_progress
      self.show_epoch_progress = show_epoch_progress
      self.show_overall_progress = show_overall_progress
      self.metrics_format = metrics_format
  
      # compute update interval (inverse of update per second)
      self.update_interval = 1 / update_per_second
  
      self.last_update_time = time.time()
      self.overall_progress_tqdm = None
      self.epoch_progress_tqdm = None
      self.is_training = False
      self.num_epochs = None
      self.logs = None
      super().__init__()
  
imports: import time
  import tensorflow
  from collections import defaultdict
  from typeguard import typechecked
  from tensorflow.keras.callbacks import Callback
label_desc: Use image node_id 1 to create a new TQDMProgressBar object from inherited base classes: Callback with example: obj = TQDMProgressBar(metrics_separator, overall_bar_format, epoch_bar_format, metrics_format, update_per_second, leave_epoch_progress, leave_overall_progress, show_epoch_progress, show_overall_progress)