code: def _pad(  # pylint: disable=unused-argument
      tensor, paddings, mode="CONSTANT", constant_values=0, name=None
  ):
      tensor = ops.convert_to_tensor(tensor)
      constant_values = ops.convert_to_tensor(constant_values)
      return np.pad(
          tensor,
          paddings,
          mode=mode.lower(),
          constant_values=constant_values,
      )
  
imports: import functools
  import numpy
  import numpy
  from tensorflow_probability.python.internal.backend.numpy import _utils
  from tensorflow_probability.python.internal.backend.numpy import ops
  from tensorflow_probability.python.internal.backend.numpy.linalg_impl import einsum
  from tensorflow_probability.python.internal.backend.numpy.linalg_impl import norm
  from tensorflow_probability.python.internal.backend.numpy.linalg_impl import tensordot
label_desc: Use image node_id 10 for calling a global function with example usage: _pad(tensor, paddings, mode, constant_values, name) and returns: np