class_docstr: Callback for auto-logging parameters and metrics in TensorFlow >= 2.0.0.
  Records model structural information as params when training starts.
class_docstr_tok: ["Callback","for","auto-logging","parameters","and","metrics","in","TensorFlow",">","=","2.0.0",".","Records","model","structural","information","as","params","when","training","starts","."]
code: def __enter__(self):
      pass
  
imports: import warnings
  from typing import Dict, Union
  import numpy
  import tensorflow
  from tensorflow.keras.callbacks import Callback, TensorBoard
  import mlflow
  from mlflow.utils.autologging_utils import INPUT_EXAMPLE_SAMPLE_ROWS, ExceptionSafeClass
label_desc: Use image node_id 2 for calling the __MLflowTfKeras2Callback obj's underlying member method code with example usage: obj.__enter__() without return types