torch.empty
-
torch.empty(*size, *, out=None, dtype=None, layout=torch.strided, device=None, requires_grad=False, pin_memory=False) → Tensor
-
Returns a tensor filled with uninitialized data. The shape of the tensor is defined by the variable argument
size
.- Parameters
-
size (int...) – a sequence of integers defining the shape of the output tensor. Can be a variable number of arguments or a collection like a list or tuple.
- Keyword Arguments
-
- out (Tensor, optional) – the output tensor.
-
dtype (
torch.dtype
, optional) – the desired data type of returned tensor. Default: ifNone
, uses a global default (seetorch.set_default_tensor_type()
). -
layout (
torch.layout
, optional) – the desired layout of returned Tensor. Default:torch.strided
. -
device (
torch.device
, optional) – the desired device of returned tensor. Default: ifNone
, uses the current device for the default tensor type (seetorch.set_default_tensor_type()
).device
will be the CPU for CPU tensor types and the current CUDA device for CUDA tensor types. -
requires_grad (bool, optional) – If autograd should record operations on the returned tensor. Default:
False
. -
pin_memory (bool, optional) – If set, returned tensor would be allocated in the pinned memory. Works only for CPU tensors. Default:
False
. -
memory_format (
torch.memory_format
, optional) – the desired memory format of returned Tensor. Default:torch.contiguous_format
.
Example:
>>> torch.empty(2, 3) tensor(1.00000e-08 * [[ 6.3984, 0.0000, 0.0000], [ 0.0000, 0.0000, 0.0000]])
© 2019 Torch Contributors
Licensed under the 3-clause BSD License.
https://pytorch.org/docs/1.8.0/generated/torch.empty.html