code: def ndarray_to_tensor(arr, dtype=None, name=None, as_ref=False):
      if as_ref:
          raise ValueError("as_ref is not supported.")
      if dtype and tf.as_dtype(arr.dtype) != dtype:
          return tf.cast(arr.data, dtype)
      result_t = arr.data
      if name:
          result_t = tf.identity(result_t, name=name)
      return result_t
  
imports: import numpy
  import six
  import tensorflow.compat.v2
  from trax.tf_numpy.numpy_impl import dtypes
label_desc: Use image node_id 3 for calling a global function with example usage: ndarray_to_tensor(arr, dtype, name, as_ref) and returns: result_t, tf