message: remove global tf
diff: @@ -322,14 +322,14 @@ def setdiff1d(x, y, index_dtype=dtypes.int32, name=None):
  out[i] = x[idx[i]] for i in [0, 1, ..., len(out) - 1]
  ```
  - #### EXAMPLE:
  + Example usage:
  >>> x = [1, 2, 3, 4, 5, 6]
  >>> y = [1, 3, 5]
  - >>> result = tf.setdiff1d(x,y)
  - >>> sess = tf.compat.v1.Session()
  - >>> print(sess.run(result))
  - ListDiff(out=array([2, 4, 6], dtype=int32), idx=array([1, 3, 5], dtype=int32))
  + >>> result = setdiff1d(x,y)
  + >>> ListDiff(out=<tf.Tensor: id=76, shape=(3,), dtype=int32, numpy=
  + ... array([2, 4, 6], dtype=int32)>, idx=<tf.Tensor: id=77, shape=
  + ... (3,), dtype=int32, numpy=array([1, 3, 5], dtype=int32)>)
  Args:
  x: A Tensor. 1-D. Values to keep.
  @@ -1624,7 +1624,7 @@ def unique(x, out_idx=dtypes.int32, name=None):
  Example usage:
  - >>> x = constant([1, 1, 2, 4, 4, 4, 7, 8, 8])
  + >>> x = tf.constant([1, 1, 2, 4, 4, 4, 7, 8, 8])
  >>> y, idx = unique(x)
  >>> y
  <tf.Tensor: id=8, shape=(5,), dtype=int32, numpy=
  @@ -1670,13 +1670,16 @@ def unique_with_counts(x, out_idx=dtypes.int32, name=None):
  Example usage:
  >>> x = tf.constant([1, 1, 2, 4, 4, 4, 7, 8, 8])
  - >>> y, idx, count = tf.unique_with_counts(x)
  - >>> print(y)
  - [1 2 4 7 8]
  - >>> tf.print(idx)
  - [0, 0, 1, 2, 2, 2, 3, 4, 4]
  - >>> tf.print(count)
  - [2, 1, 3, 1, 2]
  + >>> y, idx, count = unique_with_counts(x)
  + >>> y
  + <tf.Tensor: id=36, shape=(5,), dtype=int32, numpy
  + ... =array([1, 2, 4, 7, 8], dtype=int32)>
  + >>> idx
  + <tf.Tensor: id=37, shape=(9,), dtype=int32, numpy
  + ... =array([0, 0, 1, 2, 2, 2, 3, 4, 4], dtype=int32)>
  + >>> count
  + <tf.Tensor: id=38, shape=(5,), dtype=int32, numpy
  + ... =array([2, 1, 3, 1, 2], dtype=int32)>
  Args:
  x: A Tensor. 1-D.
  