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Check TF ops for ONNX compliance (#10025)

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* Add check-ops script

* Finish to implement check_tf_ops and start the test

* Make the test mandatory only for BERT

* Update tf_ops folder

* Remove useless classes

* Add the ONNX test for GPT2 and BART

* Add a onnxruntime slow test + better opset flexibility

* Fix test + apply style

* fix tests

* Switch min opset from 12 to 10

* Update src/transformers/file_utils.py

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Fix GPT2

* Remove extra shape_list usage

* Fix GPT2

* Address Morgan's comments

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
This commit is contained in:
Julien Plu
2021-02-15 13:55:10 +01:00
committed by GitHub
parent 93bd2f7099
commit c8d3fa0dfd
33 changed files with 468 additions and 17 deletions
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2
tests/test_modeling_tf_funnel.py
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@@ -339,6 +339,7 @@ class TFFunnelModelTest(TFModelTesterMixin, unittest.TestCase):
else ()
)
test_head_masking = False
test_onnx = False
def setUp(self):
self.model_tester = TFFunnelModelTester(self)
@@ -382,6 +383,7 @@ class TFFunnelBaseModelTest(TFModelTesterMixin, unittest.TestCase):
(TFFunnelBaseModel, TFFunnelForMultipleChoice, TFFunnelForSequenceClassification) if is_tf_available() else ()
)
test_head_masking = False
test_onnx = False
def setUp(self):
self.model_tester = TFFunnelModelTester(self, base=True)