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Skip GPT-J fx tests for torch < 1.12 (#24256)

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* fix

* fix

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
Yih-Dar
2023-06-13 20:33:26 +02:00
committed by GitHub
parent 3bd1fe4315
commit 233113149b
1 changed files with 15 additions and 0 deletions
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15
tests/models/gptj/test_modeling_gptj.py
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@@ -37,6 +37,9 @@ if is_torch_available():
GPTJForSequenceClassification, GPTJForSequenceClassification,
GPTJModel, GPTJModel,
) )
from transformers.pytorch_utils import is_torch_greater_or_equal_than_1_12
else:
is_torch_greater_or_equal_than_1_12 = False
class GPTJModelTester: class GPTJModelTester:
@@ -385,6 +388,18 @@ class GPTJModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin
test_model_parallel = False test_model_parallel = False
test_head_masking = False test_head_masking = False
@unittest.skipIf(
not is_torch_greater_or_equal_than_1_12, reason="PR #22069 made changes that require torch v1.12+."
)
def test_torch_fx(self):
super().test_torch_fx()
@unittest.skipIf(
not is_torch_greater_or_equal_than_1_12, reason="PR #22069 made changes that require torch v1.12+."
)
def test_torch_fx_output_loss(self):
super().test_torch_fx_output_loss()
# TODO: Fix the failed tests # TODO: Fix the failed tests
def is_pipeline_test_to_skip( def is_pipeline_test_to_skip(
self, pipeline_test_casse_name, config_class, model_architecture, tokenizer_name, processor_name self, pipeline_test_casse_name, config_class, model_architecture, tokenizer_name, processor_name