UninitializedBuffer — PyTorch 2.7 documentation (original) (raw)

class torch.nn.parameter.UninitializedBuffer(requires_grad=False, device=None, dtype=None, persistent=True)[source][source]¶

A buffer that is not initialized.

Uninitialized Buffer is a a special case of torch.Tensorwhere the shape of the data is still unknown.

Unlike a torch.Tensor, uninitialized parameters hold no data and attempting to access some properties, like their shape, will throw a runtime error. The only operations that can be performed on a uninitialized parameter are changing its datatype, moving it to a different device and converting it to a regular torch.Tensor.

The default device or dtype to use when the buffer is materialized can be set during construction using e.g. device='cuda'.