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Fix FastSpeech2ConformerModelTest and skip it on CPU (#28888)
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* fix

* fix

---------

Co-authored-by: ydshieh <[email protected]>
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ydshieh and ydshieh authored Feb 6, 2024
1 parent 5346db1 commit 6529a5b
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Showing 2 changed files with 3 additions and 2 deletions.
Original file line number Diff line number Diff line change
Expand Up @@ -1256,7 +1256,7 @@ def forward(
)

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
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Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,7 @@
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
Expand Down Expand Up @@ -117,6 +117,7 @@ def prepare_config_and_inputs_for_common(self):
return config, inputs_dict


@require_torch_accelerator
@require_torch
class FastSpeech2ConformerModelTest(ModelTesterMixin, unittest.TestCase):
all_model_classes = (FastSpeech2ConformerModel,) if is_torch_available() else ()
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