Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/70304
Without this patch `TensorLikePair` will try to instantiate everything although it should only do so for tensor-likes. This is problematic if it is used before a different pair that would be able to handle the inputs but never gets to do so, because `TensorLikePair` bails out before.
```python
from torch.testing._comparison import assert_equal, TensorLikePair, ObjectPair
assert_equal("a", "a", pair_types=(TensorLikePair, ObjectPair))
```
```
ValueError: Constructing a tensor from <class 'str'> failed with
new(): invalid data type 'str'.
```
Test Plan: Imported from OSS
Reviewed By: ngimel
Differential Revision: D33542995
Pulled By: mruberry
fbshipit-source-id: 77a5cc0abad44356c3ec64c7ec46e84d166ab2dd
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/68728
This removes the ability for `assert_close` to `.coalesce()` the tensors internally. Additionally, we now also check `.sparse_dim()`. Sparse team: please make sure that is the behavior you want for all sparse COO comparisons in the future. #67796 will temporarily keep BC by always coalescing, but in the future `TestCase.assertEqual` will no longer do that.
cc nikitaved pearu cpuhrsch IvanYashchuk
Test Plan: Imported from OSS
Reviewed By: ngimel
Differential Revision: D33542996
Pulled By: mruberry
fbshipit-source-id: a8d2322c6ee1ca424e3efb14ab21787328cf28fc
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/68802
Without this patch, the error message of comparing meta tensors looks like this after #68722 was merged:
```python
>>> t = torch.empty((), device="meta")
>>> assert_close(t, t)
NotImplementedError: Could not run 'aten::abs.out' with arguments from the 'Meta' backend. [...]
[...]
The above exception was the direct cause of the following exception:
[...]
RuntimeError: Comparing
TensorLikePair(
id=(),
actual=tensor(..., device='meta', size=()),
expected=tensor(..., device='meta', size=()),
rtol=1.3e-06,
atol=1e-05,
equal_nan=False,
check_device=True,
check_dtype=True,
check_layout=True,
check_stride=False,
check_is_coalesced=True,
)
resulted in the unexpected exception above. If you are a user and see this message during normal operation please file an issue at https://github.com/pytorch/pytorch/issues. If you are a developer and working on the comparison functions, please except the previous error and raise an expressive `ErrorMeta` instead.
```
Thus, we follow our own advice and turn it into an expected exception until #68592 is resolved:
```python
>>> t = torch.empty((), device="meta")
>>> assert_close(t, t)
ValueError: Comparing meta tensors is currently not supported
```
Test Plan: Imported from OSS
Reviewed By: ngimel
Differential Revision: D33542999
Pulled By: mruberry
fbshipit-source-id: 0fe1ddee15b5decdbd4c5dd84f03804ca7eac95b
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/68977
Follow-up to #68722 to address the review comments that were left open before merge.
Test Plan: Imported from OSS
Reviewed By: ngimel
Differential Revision: D33542998
Pulled By: mruberry
fbshipit-source-id: 23c567cd328f83ae4df561ac8ee6c40c259408c9
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/67794
This change is needed to conveniently use the same comparison mechanism for our internal testsuite (see #67796). The reworked version is on par with the previous version except for the ability to pass a custom message as callable. Before we converted everything to a tensor so it was fairly easy to provide consistent mismatch diagnostics to the callable. Now, with arbitrary `Pair`'s that are used for comparison that is no longer viable.
Test Plan: Imported from OSS
Reviewed By: ngimel
Differential Revision: D32532206
Pulled By: mruberry
fbshipit-source-id: dc847fba6a795c1766e01bc3e88b680a68287b1e
