Mark pipeline tests to skip them easily (#21887)

* Mark pipeline tests to skip them easily

* Mark the mixin as pipeline test

* Update src/transformers/testing_utils.py

Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

---------

Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
This commit is contained in:
Sylvain Gugger
2023-03-02 10:55:36 -05:00
committed by GitHub
parent d9e28d91a8
commit 50a8ed3ee0
30 changed files with 158 additions and 23 deletions

View File

@@ -39,6 +39,7 @@ from transformers.testing_utils import (
USER,
CaptureLogger,
RequestCounter,
is_pipeline_test,
is_staging_test,
nested_simplify,
require_tensorflow_probability,
@@ -77,6 +78,7 @@ class ANY:
return f"ANY({', '.join(_type.__name__ for _type in self._types)})"
@is_pipeline_test
class CommonPipelineTest(unittest.TestCase):
@require_torch
def test_pipeline_iteration(self):
@@ -194,6 +196,7 @@ class CommonPipelineTest(unittest.TestCase):
self.assertEqual(len(outputs), 20)
@is_pipeline_test
class PipelineScikitCompatTest(unittest.TestCase):
@require_torch
def test_pipeline_predict_pt(self):
@@ -244,6 +247,7 @@ class PipelineScikitCompatTest(unittest.TestCase):
self.assertEqual(expected_output, actual_output)
@is_pipeline_test
class PipelinePadTest(unittest.TestCase):
@require_torch
def test_pipeline_padding(self):
@@ -325,6 +329,7 @@ class PipelinePadTest(unittest.TestCase):
)
@is_pipeline_test
class PipelineUtilsTest(unittest.TestCase):
@require_torch
def test_pipeline_dataset(self):
@@ -620,6 +625,7 @@ class CustomPipeline(Pipeline):
return model_outputs["logits"].softmax(-1).numpy()
@is_pipeline_test
class CustomPipelineTest(unittest.TestCase):
def test_warning_logs(self):
transformers_logging.set_verbosity_debug()