code: def _slice(
      input_, begin, size, name=None
  ):  # pylint: disable=unused-argument,redefined-outer-name
      if JAX_MODE:
          input_ = np.asarray(input_)
          size = [
              dim_size - start if size == -1 else size
              for (size, start, dim_size) in zip(
                  size, begin, input_.shape
              )
          ]
          return jax.lax.dynamic_slice(input_, begin, size)
      slices = tuple(
          builtin_slice(b, b + s if s != -1 else None)
          for b, s in zip(begin, size)
      )
      return input_[slices]
  
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 17 for calling a global function with example usage: _slice(input_, begin, size, name) and returns: input_, jax