code: def _large_compatible_negative(tensor_type):
      """Large negative number as Tensor.
  
      This function is necessary because the standard value for epsilon
      in this module (-1e9) cannot be represented using tf.float16
  
      Args:
        tensor_type: a dtype to determine the type.
  
      Returns:
        a large negative number.
      """
      if tensor_type == dtypes.float16:
          return dtypes.float16.min
      return -1e9
  
imports: from tensorflow.python.framework import dtypes
  from tensorflow.python.keras import backend
  from tensorflow.python.keras import constraints
  from tensorflow.python.keras import initializers
  from tensorflow.python.keras import regularizers
  from tensorflow.python.keras.engine.base_layer import Layer
  from tensorflow.python.keras.engine.input_spec import InputSpec
  from tensorflow.python.keras.utils import tf_utils
  from tensorflow.python.ops import math_ops
label_desc: Use image node_id 2 for calling a global function with example usage: _large_compatible_negative(tensor_type) and returns: unknown, dtypes