-
Notifications
You must be signed in to change notification settings - Fork 31.3k
[tests] fix flaky pattern in test_generate_continue_from_past_key_values
#37724
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
[tests] fix flaky pattern in test_generate_continue_from_past_key_values
#37724
Conversation
|
Hi 👋, thank you for opening this pull request! The pull request is converted to draft by default. The CI will be paused while the PR is in draft mode. When it is ready for review, please click the |
test_generate_continue_from_past_key_values
| @parameterized.expand([("offloaded",)]) # ("offloaded_static",) TODO: @raushan fixme in some models (eg T5) | ||
| @require_torch_accelerator | ||
| @pytest.mark.generate | ||
| def test_offloaded_cache_implementation(self, cache_implementation): |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
this test doesn't make sense? tests that two generate calls with the same flags have the same output
We have tests for the offloaded cache in tests/utils/test_cache_utils.py
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Right, this test was supposed to only check that calling genarate with all possible cache_implementation doesn't fail. There was some issue in the past, we lost some "cache_implementation" keys when refactoring 🥲
If the tests in cache_utils cover all caches and call generate with kwargs, I guess we're fine
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
There are slow integration tests for all caches on main, this PR adds a fast test for all caches 🤗
| "max_new_tokens": self.max_new_tokens, | ||
| "use_cache": True, | ||
| "return_dict_in_generate": True, | ||
| "output_scores": True, |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
(the correct equivalence check needs the scores)
| "use_cache": True, | ||
| "do_sample": False, | ||
| "return_dict_in_generate": True, | ||
| "output_scores": True, |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
(same, the correct equivalence check needs the scores)
test_generate_continue_from_past_key_values test_generate_continue_from_past_key_values
|
The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
zucchini-nlp
left a comment
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Nice!
| # TODO (joao, raushan): the correct line below is `if not hasattr(config.get_text_config(), "use_cache")`, | ||
| # but it breaks a few models. Fix and then apply `_check_similar_generate_outputs` pattern |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
prob it is same thing when we generate from inputs_embeds in VLMs and have to pop image inputs
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Yup 👍 I've pushed the actual fix into the future, in case the test is not (much) flaky
| @parameterized.expand([("offloaded",)]) # ("offloaded_static",) TODO: @raushan fixme in some models (eg T5) | ||
| @require_torch_accelerator | ||
| @pytest.mark.generate | ||
| def test_offloaded_cache_implementation(self, cache_implementation): |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Right, this test was supposed to only check that calling genarate with all possible cache_implementation doesn't fail. There was some issue in the past, we lost some "cache_implementation" keys when refactoring 🥲
If the tests in cache_utils cover all caches and call generate with kwargs, I guess we're fine
What does this PR do?
Fixes the flakiness pattern behind a common flaky test,
tests/models/kosmos2/test_modeling_kosmos2.py::Kosmos2ModelTest::test_generate_continue_from_past_key_valuesflakiness pattern TL;DR:
generate, tiny differences in the logits can lead to a different token, changing generation from that point onwardgenerateshouldn't naively look at the output sequences, but rather at the output sequences up to the point where they diverge, if they diverge 👉 corrects all equivalence checks using the right pattern (this pattern was already present in most tests, but a few ones still had the old pattern)