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Remove skipped tests without parents (#41691)

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Cyril Vallez
2025-10-17 16:25:40 +02:00
committed by GitHub
parent 75da795d8f
commit 39b6d3bf7e
4 changed files with 0 additions and 20 deletions
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4
tests/models/mpnet/test_modeling_mpnet.py
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@ -242,10 +242,6 @@ class MPNetModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
config_and_inputs = self.model_tester.prepare_config_and_inputs()
self.model_tester.create_and_check_mpnet_for_question_answering(*config_and_inputs)
@unittest.skip(reason="TFMPNet adds poolers to all models, unlike the PT model class.")
def test_tf_from_pt_safetensors(self):
return
@require_torch
class MPNetModelIntegrationTest(unittest.TestCase):

4
tests/models/speech_to_text/test_modeling_speech_to_text.py
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@ -600,10 +600,6 @@ class Speech2TextModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTest
def test_generate_without_input_ids(self):
pass
@unittest.skip(reason="Test failing, @RocketNight is looking into it")
def test_tf_from_pt_safetensors(self):
pass
@require_torch
@require_torchaudio

4
tests/models/tapas/test_modeling_tapas.py
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@ -520,10 +520,6 @@ class TapasModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
config_and_inputs = self.model_tester.prepare_config_and_inputs()
self.model_tester.create_and_check_for_sequence_classification(*config_and_inputs)
@unittest.skip(reason="tfp is not defined even if installed. FIXME @Arthur in a followup PR!")
def test_tf_from_pt_safetensors(self):
pass
def prepare_tapas_single_inputs_for_inference():
# Here we prepare a single table-question pair to test TAPAS inference on:

8
tests/test_modeling_common.py
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@ -1344,14 +1344,6 @@ class ModelTesterMixin:
[self.model_tester.num_attention_heads, encoder_seq_length, encoder_key_length],
)
# This is copied from `torch/testing/_internal/jit_utils.py::clear_class_registry`
def clear_torch_jit_class_registry(self):
torch._C._jit_clear_class_registry()
torch.jit._recursive.concrete_type_store = torch.jit._recursive.ConcreteTypeStore()
# torch 1.8 has no `_clear_class_state` in `torch.jit._state`
if hasattr(torch.jit._state, "_clear_class_state"):
torch.jit._state._clear_class_state()
def test_hidden_states_output(self):
def check_hidden_states_output(inputs_dict, config, model_class):
model = model_class(copy.deepcopy(config))