class_docstr: Configuration for `BertModel`.
class_docstr_tok: ["Configuration","for","`","BertModel","`","."]
docstr: Constructs a `BertConfig` from a Python dictionary of parameters.
docstr_tok: ["Constructs","a","`","BertConfig","`","from","a","Python","dictionary","of","parameters","."]
code: def from_dict(cls, json_object):
      """Constructs a `BertConfig` from a Python dictionary of parameters."""
      config = BertConfig(vocab_size=None)
      for key, value in json_object.items():
          config.__dict__[key] = value
      return config
  
imports: import copy
  import json
  import math
  import numpy
  import tensorflow
  import functools
  from transformers.activations_tf import gelu
  from finetune.optimizers.recompute_grads import recompute_grad
  from finetune.nn.auxiliary import embed_position
label_desc: Use image node_id 2 for calling the BertConfig obj's underlying member method code with example usage: obj.from_dict(cls, json_object) and returns: config