numpy¶

Documentation¶

class treetensor.torch.Tensor(data, *args, constraint=None, **kwargs)[source]¶

numpy() → numpy.ndarray[source]¶: Returns self tree tensor as a NumPy ndarray. This tensor and the returned treetensor.numpy.ndarray share the same underlying storage. Changes to self tensor will be reflected in the ndarray and vice versa.

Torch Version Related

This documentation is based on torch.Tensor.numpy in torch v1.9.0+cu102. Its arguments’ arrangements depend on the version of pytorch you installed.

If some arguments listed here are not working properly, please check your pytorch’s version with the following command and find its documentation.

python -c 'import torch;print(torch.__version__)'

The arguments and keyword arguments supported in torch v1.9.0+cu102 is listed below.

Description From Torch v1.9.0+cu102¶

class torch.Tensor¶

numpy() → numpy.ndarray¶: Returns self tensor as a NumPy ndarray. This tensor and the returned ndarray share the same underlying storage. Changes to self tensor will be reflected in the ndarray and vice versa.