Dmitry Rogozhkin 5e2916bc14 tests: fix pytorch tensor placement errors (#33485) ...

This commit fixes the following errors:
* Fix "expected all tensors to be on the same device" error
* Fix "can't convert device type tensor to numpy"

According to pytorch documentation torch.Tensor.numpy(force=False)
performs conversion only if tensor is on CPU (plus few other restrictions)
which is not the case. For our case we need force=True since we just
need a data and don't care about tensors coherency.

Fixes: #33517
See: https://pytorch.org/docs/2.4/generated/torch.Tensor.numpy.html

Signed-off-by: Dmitry Rogozhkin <dmitry.v.rogozhkin@intel.com>

2024-09-25 12:21:53 +01:00

..

__init__.py

[Time-Series] informer model (#21099)

2023-03-07 21:36:38 +01:00

test_modeling_informer.py

tests: fix pytorch tensor placement errors (#33485)

2024-09-25 12:21:53 +01:00