code: def _take_tf(tensor, indices, axis=None, **kwargs):
      tf = _i("tf")
      return tf.experimental.numpy.take(
          tensor, indices, axis=axis, **kwargs
      )
  
imports: from importlib import import_module
  import autoray
  import numpy
  import semantic_version
  from scipy.linalg import block_diag
  from .utils import get_deep_interface
label_desc: Use image node_id 16 for calling a global function with example usage: _take_tf(tensor, indices, axis) and returns: tf