code: def maybe_get_static_value(x, dtype=None):
      """Helper which tries to return a static value.
  
      Given `x`, extract it's value statically, optionally casting to a specific
      dtype. If this is not possible, None is returned.
  
      Args:
        x: `Tensor` for which to extract a value statically.
        dtype: Optional dtype to cast to.
  
      Returns:
        Statically inferred value if possible, otherwise None.
      """
      if x is None:
          return x
      try:
          # This returns an np.ndarray.
          x_ = tensor_util.constant_value(x)
      except TypeError:
          x_ = x
      if x_ is None or dtype is None:
          return x_
      return np.array(x_, dtype)
  
imports: import functools
  import hashlib
  import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn
  from tensorflow.python.util import tf_inspect
label_desc: Use image node_id 5 for calling a global function with example usage: maybe_get_static_value(x, dtype) and returns: np, x, x_