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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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8
tests/models/cvt/test_modeling_cvt.py
View File

@@ -25,6 +25,7 @@ from transformers.testing_utils import require_torch, require_vision, slow, torc
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
from ...test_pipeline_mixin import PipelineTesterMixin
if is_torch_available():
@@ -143,13 +144,18 @@ class CvtModelTester:
@require_torch
class CvtModelTest(ModelTesterMixin, unittest.TestCase):
class CvtModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
"""
Here we also overwrite some of the tests of test_modeling_common.py, as Cvt does not use input_ids, inputs_embeds,
attention_mask and seq_length.
"""
all_model_classes = (CvtModel, CvtForImageClassification) if is_torch_available() else ()
pipeline_model_mapping = (
{"feature-extraction": CvtModel, "image-classification": CvtForImageClassification}
if is_torch_available()
else {}
)
test_pruning = False
test_torchscript = False

8
tests/models/cvt/test_modeling_tf_cvt.py
View File

@@ -13,6 +13,7 @@ from transformers.utils import cached_property, is_tf_available, is_vision_avail
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor
from ...test_pipeline_mixin import PipelineTesterMixin
if is_tf_available():
@@ -128,13 +129,18 @@ class TFCvtModelTester:
@require_tf
class TFCvtModelTest(TFModelTesterMixin, unittest.TestCase):
class TFCvtModelTest(TFModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
"""
Here we also overwrite some of the tests of test_modeling_common.py, as Cvt
does not use input_ids, inputs_embeds, attention_mask and seq_length.
"""
all_model_classes = (TFCvtModel, TFCvtForImageClassification) if is_tf_available() else ()
pipeline_model_mapping = (
{"feature-extraction": TFCvtModel, "image-classification": TFCvtForImageClassification}
if is_tf_available()
else {}
)
test_pruning = False
test_resize_embeddings = False
test_head_masking = False