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[PT FE] Fix mask2former model marks in tests (#20717)

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* [PT FE] Fix mask2former model marks in tests

* Use better machine

* Add more models

* Update .github/workflows/linux.yml
This commit is contained in:
Maxim Vafin 2023-10-27 19:04:30 +02:00 committed by GitHub
parent cde757d66a
commit f029ebb8e2
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GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 9 additions and 5 deletions
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7
tests/model_hub_tests/torch_tests/hf_transformers_models
View File

@ -10,6 +10,7 @@ albert-base-v2,albert
AlekseyKorshuk/test_reward_model,reward_model,skip,Load problem
alibaba-damo/mgp-str-base,mgp-str,xfail,Compile error: unsupported Einsum
allenai/hvila-block-layoutlm-finetuned-docbank,hierarchical_model,skip,Load problem
allenai/longformer-base-4096,longformer
ameya772/sentence-t5-base-atis-fine-tuned,T5,skip,Load problem
andreasmadsen/efficient_mlm_m0.40,roberta-prelayernorm
anton-l/emformer-base-librispeech,emformer,skip,Load problem
@ -71,7 +72,7 @@ facebook/esm2_t6_8M_UR50D,esm
facebook/flava-full,flava,xfail,Tracing problem
facebook/flava-image-codebook,flava_image_codebook,skip,Load problem
facebook/m2m100_418M,m2m_100
facebook/mask2former-swin-base-coco-panoptic,mask2former,xfail,Accuracy validation failed
facebook/mask2former-swin-base-coco-panoptic,mask2former
facebook/maskformer-swin-base-coco,maskformer
facebook/mms-tts-eng,vits,skip,Load problem
facebook/musicgen-small,musicgen,skip,Load problem
@ -92,6 +93,7 @@ Geor111y/flair-ner-addresses-extractor,flair,skip,Load problem
gia-project/gia,gia,skip,Load problem
gokuls/bert_12_layer_model_v1,hybridbert,skip,Load problem
google/bigbird-roberta-base,big_bird
google/bigbird-pegasus-large-arxiv,bigbird-pegasus
google/bit-50,bit
google/canine-s,canine,xfail,aten::slice: Parameter axis 3 out of the tensor rank range
google/efficientnet-b2,efficientnet,xfail,Compile error: AvgPool: Kernel after dilation has size (dim: 1408) larger than the data shape after padding (dim: 9) at axis 0.
@ -105,7 +107,7 @@ google/owlvit-base-patch32,owlvit
google/pix2struct-docvqa-base,pix2struct,skip,Load problem
google/realm-orqa-nq-openqa,realm,skip,Load problem
google/reformer-crime-and-punishment,reformer,xfail,Tracing problem
google/tapas-large-finetuned-wtq,tapas,skip,Load problem
google/tapas-large-finetuned-wtq,tapas
google/vit-hybrid-base-bit-384,vit-hybrid,skip,Load problem
google/vivit-b-16x2-kinetics400,vivit
Goutham-Vignesh/ContributionSentClassification-scibert,scibert,skip,Load problem
@ -300,6 +302,7 @@ pie/example-re-textclf-tacred,TransformerTextClassificationModel,skip,Load probl
pleisto/yuren-baichuan-7b,multimodal_llama,skip,Load problem
predictia/europe_reanalysis_downscaler_convbaseline,convbilinear,skip,Load problem
predictia/europe_reanalysis_downscaler_convswin2sr,conv_swin2sr,skip,Load problem
pszemraj/led-large-book-summary,led
qmeeus/whisper-small-ner-combined,whisper_for_slu,skip,Load problem
raman-ai/pcqv2-tokengt-lap16,tokengt,skip,Load problem
range3/pegasus-gpt2-medium,pegasusgpt2,skip,Load problem

7
tests/model_hub_tests/torch_tests/test_hf_transformers.py
View File

@ -276,7 +276,9 @@ class TestTransformersModel(TestConvertModel):
return [i.numpy() for i in self.example]
def convert_model(self, model_obj):
ov_model = convert_model(model_obj, example_input=self.example)
ov_model = convert_model(model_obj,
example_input=self.example,
verbose=True)
return ov_model
def infer_fw_model(self, model_obj, inputs):
@ -297,8 +299,7 @@ class TestTransformersModel(TestConvertModel):
("google/flan-t5-base", "t5"),
("google/tapas-large-finetuned-wtq", "tapas"),
("gpt2", "gpt2"),
("openai/clip-vit-large-patch14", "clip"),
("facebook/xmod-base","xmod")
("openai/clip-vit-large-patch14", "clip")
])
@pytest.mark.precommit
def test_convert_model_precommit(self, name, type, ie_device):