The documentation for `tf.reshape(tensor, shape, name=None)`

states that the `shape`

argument must be:

A

`Tensor`

. Must be one of the following types:`int32`

,`int64`

. Defines the shape of the output tensor.

Every example on the documentation page passes the shape using square brackets:

```
tf.reshape(t, [ 2, -1, 3])
```

I suspect that within function parameters, anything inside `[...]`

is assumed to be a numpy array, which qualifies as a tensor.

`depth`

or `(depth)`

are probably parsed as numeric types and definitely donâ€™t work. I assume that `(depth, )`

or `(depth, 1)`

are implicitly cast to tensor types by the function parser.