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
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__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