code: def reduce_any(input_tensor, axis=None, keepdims=False):
      """A version of tf.reduce_any that eagerly evaluates if possible."""
      v = get_static_value(input_tensor)
      if v is None:
          return math_ops.reduce_any(
              input_tensor, axis=axis, keepdims=keepdims
          )
      else:
          return v.any(axis=axis, keepdims=keepdims)
  
imports: import inspect
  import numbers
  import os
  import re
  import numpy
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import flexible_dtypes
  from tensorflow.python.framework import indexed_slices
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.numpy_ops import np_arrays
  from tensorflow.python.ops.numpy_ops import np_dtypes
  from tensorflow.python.types import core
  from tensorflow.python.util import nest
  from tensorflow.python.util import tf_export
label_desc: Use image node_id 42 for calling a global function with example usage: reduce_any(input_tensor, axis, keepdims) and returns: math_ops, v