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Update tiny models and pipeline tests (#23446)

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* fix

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
Yih-Dar
2023-05-18 17:29:04 +02:00
committed by GitHub
parent 2406dbdcfa
commit ffad4f1373
9 changed files with 187 additions and 12 deletions
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3
tests/models/biogpt/test_modeling_biogpt.py
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@@ -289,9 +289,10 @@ class BioGptModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMix
pipeline_model_mapping = (
{
"feature-extraction": BioGptModel,
"text-classification": BioGptForSequenceClassification,
"text-generation": BioGptForCausalLM,
"token-classification": BioGptForTokenClassification,
"text-classification": BioGptForSequenceClassification,
"zero-shot": BioGptForSequenceClassification,
}
if is_torch_available()
else {}

6
tests/models/cpmant/test_modeling_cpmant.py
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@@ -21,6 +21,7 @@ from transformers.testing_utils import is_torch_available, require_torch, tooslo
from ...generation.test_utils import torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTesterMixin, ids_tensor
from ...test_pipeline_mixin import PipelineTesterMixin
if is_torch_available():
@@ -133,8 +134,11 @@ class CpmAntModelTester:
@require_torch
class CpmAntModelTest(ModelTesterMixin, unittest.TestCase):
class CpmAntModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
all_model_classes = (CpmAntModel, CpmAntForCausalLM) if is_torch_available() else ()
pipeline_model_mapping = (
{"feature-extraction": CpmAntModel, "text-generation": CpmAntForCausalLM} if is_torch_available() else {}
)
test_pruning = False
test_missing_keys = False

8
tests/models/focalnet/test_modeling_focalnet.py
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@@ -25,6 +25,7 @@ from transformers.utils import cached_property, is_torch_available, is_vision_av
from ...test_backbone_common import BackboneTesterMixin
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor, ids_tensor
from ...test_pipeline_mixin import PipelineTesterMixin
if is_torch_available():
@@ -226,7 +227,7 @@ class FocalNetModelTester:
@require_torch
class FocalNetModelTest(ModelTesterMixin, unittest.TestCase):
class FocalNetModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
all_model_classes = (
(
FocalNetModel,
@@ -237,6 +238,11 @@ class FocalNetModelTest(ModelTesterMixin, unittest.TestCase):
if is_torch_available()
else ()
)
pipeline_model_mapping = (
{"feature-extraction": FocalNetModel, "image-classification": FocalNetForImageClassification}
if is_torch_available()
else {}
)
fx_compatible = False
test_pruning = False

2
tests/models/gpt_neo/test_modeling_gpt_neo.py
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@@ -413,8 +413,8 @@ class GPTNeoModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMix
"feature-extraction": GPTNeoModel,
"question-answering": GPTNeoForQuestionAnswering,
"text-classification": GPTNeoForSequenceClassification,
"token-classification": GPTNeoForTokenClassification,
"text-generation": GPTNeoForCausalLM,
"token-classification": GPTNeoForTokenClassification,
"zero-shot": GPTNeoForSequenceClassification,
}
if is_torch_available()

2
tests/models/gpt_neox/test_modeling_gpt_neox.py
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@@ -239,8 +239,8 @@ class GPTNeoXModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMi
"feature-extraction": GPTNeoXModel,
"question-answering": GPTNeoXForQuestionAnswering,
"text-classification": GPTNeoXForSequenceClassification,
"token-classification": GPTNeoXForTokenClassification,
"text-generation": GPTNeoXForCausalLM,
"token-classification": GPTNeoXForTokenClassification,
"zero-shot": GPTNeoXForSequenceClassification,
}
if is_torch_available()

7
tests/models/rwkv/test_modeling_rwkv.py
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@@ -262,12 +262,7 @@ class RwkvModelTester:
class RwkvModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin, unittest.TestCase):
all_model_classes = (RwkvModel, RwkvForCausalLM) if is_torch_available() else ()
pipeline_model_mapping = (
{
"feature-extraction": RwkvModel,
"text-generation": RwkvForCausalLM,
}
if is_torch_available()
else {}
{"feature-extraction": RwkvModel, "text-generation": RwkvForCausalLM} if is_torch_available() else {}
)
# all_generative_model_classes = (RwkvForCausalLM,) if is_torch_available() else ()
fx_compatible = False

1
tests/models/swiftformer/test_modeling_swiftformer.py
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@@ -139,7 +139,6 @@ class SwiftFormerModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestC
"""
all_model_classes = (SwiftFormerModel, SwiftFormerForImageClassification) if is_torch_available() else ()
pipeline_model_mapping = (
{"feature-extraction": SwiftFormerModel, "image-classification": SwiftFormerForImageClassification}
if is_torch_available()