{"UserInfo10.FullName", Field, 0},
		{"UserInfo10.Name", Field, 0},
		{"UserInfo10.UsrComment", Field, 0},
		{"Ustat", Func, 0},
		{"Ustat_t", Type, 0},
		{"Ustat_t.Fname", Field, 0},
		{"Ustat_t.Fpack", Field, 0},
		{"Ustat_t.Pad_cgo_0", Field, 0},
		{"Ustat_t.Pad_cgo_1", Field, 0},
		{"Ustat_t.Tfree", Field, 0},
		{"Ustat_t.Tinode", Field, 0},
		{"Utimbuf", Type, 0},
		{"Utimbuf.Actime", Field, 0},

if `axis == 1` then the `output` tensor will have the shape `(A, N, B, C)`.
Etc.

For example:

```
# 'x' is [1, 4]
# 'y' is [2, 5]
# 'z' is [3, 6]
pack([x, y, z]) => [[1, 4], [2, 5], [3, 6]]  # Pack along first dim.
pack([x, y, z], axis=1) => [[1, 2, 3], [4, 5, 6]]
```

This is the opposite of `unpack`.
  }];

  let arguments = (ins

`tf.reverse_v2()` will remain until 1.0 final. * `tf.mul`, `tf.sub` and `tf.neg`
are deprecated in favor of `tf.multiply`, `tf.subtract` and `tf.negative`. *
`tf.pack` and `tf.unpack` are deprecated in favor of `tf.stack` and
`tf.unstack`. * `TensorArray.pack` and `TensorArray.unpack` are getting
deprecated in favor of `TensorArray.stack` and `TensorArray.unstack`. * The