* These `dependencies` are run before the normal parameter dependencies. And normal dependencies are run too. They can be combined.
    * Dependencies declared in a router are executed first, then the ones defined in *path operation decorators*, and then the ones declared in normal parameters. They are all combined and executed.

```python
tf.cumprod([a, b, c], reverse=True)  # => [a * b * c, b * c, c]
```

This is more efficient than using separate `tf.reverse` ops.

The `reverse` and `exclusive` kwargs can also be combined:

```python
tf.cumprod([a, b, c], exclusive=True, reverse=True)  # => [b * c, c, 1]
```
  }];

  let arguments = (ins