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torch.Tensor.new_empty — PyTorch 2.7 documentation

Tensor.new_empty(size, *, dtype=None, device=None, requires_grad=False, layout=torch.strided, pin_memory=False) → Tensor¶

Returns a Tensor of size size filled with uninitialized data. By default, the returned Tensor has the same torch.dtype and torch.device as this tensor.

Parameters

size (int...) – a list, tuple, or torch.Size of integers defining the shape of the output tensor.

Keyword Arguments

• dtype (torch.dtype, optional) – the desired type of returned tensor. Default: if None, same torch.dtype as this tensor.

• device (torch.device, optional) – the desired device of returned tensor. Default: if None, same torch.device as this tensor.

• requires_grad (bool, optional) – If autograd should record operations on the returned tensor. Default: False.

• layout (torch.layout, optional) – the desired layout of returned Tensor. Default: torch.strided.

• pin_memory (bool, optional) – If set, returned tensor would be allocated in the pinned memory. Works only for CPU tensors. Default: False.

Example:

>>> tensor = torch.ones(())
>>> tensor.new_empty((2, 3))
tensor([[ 5.8182e-18,  4.5765e-41, -1.0545e+30],
        [ 3.0949e-41,  4.4842e-44,  0.0000e+00]])

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