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🔥Rework pipeline testing by removing PipelineTestCaseMeta 🚀 (#21516)

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* Add PipelineTesterMixin

* remove class PipelineTestCaseMeta

* move validate_test_components

* Add for ViT

* Add to SPECIAL_MODULE_TO_TEST_MAP

* style and quality

* Add feature-extraction

* update

* raise instead of skip

* add tiny_model_summary.json

* more explicit

* skip tasks not in mapping

* add availability check

* Add Copyright

* A way to diable irrelevant tests

* update with main

* remove disable_irrelevant_tests

* skip tests

* better skip message

* better skip message

* Add all pipeline task tests

* revert

* Import PipelineTesterMixin

* subclass test classes with PipelineTesterMixin

* Add pipieline_model_mapping

* Fix import after adding pipieline_model_mapping

* Fix style and quality after adding pipieline_model_mapping

* Fix one more import after adding pipieline_model_mapping

* Fix style and quality after adding pipieline_model_mapping

* Fix test issues

* Fix import requirements

* Fix mapping for MobileViTModelTest

* Update

* Better skip message

* pipieline_model_mapping could not be None

* Remove some PipelineTesterMixin

* Fix typo

* revert tests_fetcher.py

* update

* rename

* revert

* Remove PipelineTestCaseMeta from ZeroShotAudioClassificationPipelineTests

* style and quality

* test fetcher for all pipeline/model tests

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
Yih-Dar
2023-02-28 19:40:57 +01:00
committed by GitHub
parent 4cb5ffa93d
commit 871c31a6f1
243 changed files with 5871 additions and 523 deletions
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14
tests/models/esm/test_modeling_esm.py
View File

@@ -22,6 +22,7 @@ from transformers.testing_utils import TestCasePlus, require_torch, slow, torch_
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTesterMixin, ids_tensor, random_attention_mask
from ...test_pipeline_mixin import PipelineTesterMixin
if is_torch_available():
@@ -165,7 +166,7 @@ class EsmModelTester:
@require_torch
class EsmModelTest(ModelTesterMixin, unittest.TestCase):
class EsmModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
test_mismatched_shapes = False
all_model_classes = (
@@ -179,6 +180,17 @@ class EsmModelTest(ModelTesterMixin, unittest.TestCase):
else ()
)
all_generative_model_classes = ()
pipeline_model_mapping = (
{
"feature-extraction": EsmModel,
"fill-mask": EsmForMaskedLM,
"text-classification": EsmForSequenceClassification,
"token-classification": EsmForTokenClassification,
"zero-shot": EsmForSequenceClassification,
}
if is_torch_available()
else {}
)
test_sequence_classification_problem_types = True
def setUp(self):

4
tests/models/esm/test_modeling_esmfold.py
View File

@@ -22,6 +22,7 @@ from transformers.testing_utils import TestCasePlus, require_torch, slow, torch_
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTesterMixin, ids_tensor, random_attention_mask
from ...test_pipeline_mixin import PipelineTesterMixin
if is_torch_available():
@@ -143,11 +144,12 @@ class EsmFoldModelTester:
@require_torch
class EsmFoldModelTest(ModelTesterMixin, unittest.TestCase):
class EsmFoldModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
test_mismatched_shapes = False
all_model_classes = (EsmForProteinFolding,) if is_torch_available() else ()
all_generative_model_classes = ()
pipeline_model_mapping = {} if is_torch_available() else {}
test_sequence_classification_problem_types = False
def setUp(self):

14
tests/models/esm/test_modeling_tf_esm.py
View File

@@ -21,6 +21,7 @@ from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
from ...test_pipeline_mixin import PipelineTesterMixin
if is_tf_available():
@@ -194,7 +195,7 @@ class TFEsmModelTester:
@require_tf
class TFEsmModelTest(TFModelTesterMixin, unittest.TestCase):
class TFEsmModelTest(TFModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
all_model_classes = (
(
TFEsmModel,
@@ -205,6 +206,17 @@ class TFEsmModelTest(TFModelTesterMixin, unittest.TestCase):
if is_tf_available()
else ()
)
pipeline_model_mapping = (
{
"feature-extraction": TFEsmModel,
"fill-mask": TFEsmForMaskedLM,
"text-classification": TFEsmForSequenceClassification,
"token-classification": TFEsmForTokenClassification,
"zero-shot": TFEsmForSequenceClassification,
}
if is_tf_available()
else {}
)
test_head_masking = False
test_onnx = False