# `ExTorch.MemoryFormat`

A ``torch.memory_format`` is an object representing the memory format on which
a ``torch.Tensor`` is or will be allocated.

Possible values are:
* ``:contiguous``: Tensor is or will be allocated in dense non-overlapping memory. Strides represented by values in decreasing order.
* ``:channels_last``: Tensor is or will be allocated in dense non-overlapping memory. Strides represented by values in ``strides[0] > strides[2] > strides[3] > strides[1] == 1`` aka NHWC order.
* ``:preserve_format``: Used in functions like clone to preserve the memory format of the input tensor. If input tensor is allocated in dense non-overlapping memory, the output tensor strides will be copied from the input. Otherwise output strides will follow ``contiguous``

# `memory_format`

```elixir
@type memory_format() ::
  :contiguous | :channels_last | :preserve_format | :channels_last_3d
```

A ``torch.memory_format`` is an object representing the memory format on which
a ``torch.Tensor`` is or will be allocated.

# `is_memory_format`
*macro* 

---

*Consult [api-reference.md](api-reference.md) for complete listing*