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Fix FastSpeech2ConformerModelTest and skip it on CPU (#28888)

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* fix

* fix

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
Yih-Dar 2024-02-06 11:05:23 +01:00 committed by GitHub
parent 5346db1684
commit 6529a5b5c1
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2 changed files with 3 additions and 2 deletions
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2
src/transformers/models/fastspeech2_conformer/modeling_fastspeech2_conformer.py
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@ -1256,7 +1256,7 @@ class FastSpeech2ConformerModel(FastSpeech2ConformerPreTrainedModel):
)
if attention_mask is None:
attention_mask = torch.ones(input_ids.shape)
attention_mask = torch.ones(input_ids.shape, device=input_ids.device)
has_missing_labels = (
spectrogram_labels is None or duration_labels is None or pitch_labels is None or energy_labels is None

3
tests/models/fastspeech2_conformer/test_modeling_fastspeech2_conformer.py
View File

@ -25,7 +25,7 @@ from transformers import (
FastSpeech2ConformerWithHifiGanConfig,
is_torch_available,
)
from transformers.testing_utils import require_g2p_en, require_torch, slow, torch_device
from transformers.testing_utils import require_g2p_en, require_torch, require_torch_accelerator, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTesterMixin, _config_zero_init, ids_tensor
@ -117,6 +117,7 @@ class FastSpeech2ConformerModelTester:
return config, inputs_dict
@require_torch_accelerator
@require_torch
class FastSpeech2ConformerModelTest(ModelTesterMixin, unittest.TestCase):
all_model_classes = (FastSpeech2ConformerModel,) if is_torch_available() else ()