Hotfix - make torchaudio get the correct version in `torch_and_flax…

…_job` (#28899) * check * check * check --------- Co-authored-by: ydshieh <[email protected]>
huggingface · Feb 6, 2024 · 40658be · 40658be
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commit 40658be
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diff --git a/.circleci/create_circleci_config.py b/.circleci/create_circleci_config.py
@@ -299,6 +299,8 @@ def job_name(self):
         "pip install -U --upgrade-strategy eager --upgrade pip",
         "pip install -U --upgrade-strategy eager .[sklearn,flax,torch,testing,sentencepiece,torch-speech,vision]",
         "pip install -U --upgrade-strategy eager -e git+https://github.com/huggingface/accelerate@main#egg=accelerate",
+        # TODO: remove this one after fixing the dependency issue(s) above
+        "pip install -U --upgrade-strategy eager torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu"
     ],
     marker="is_pt_flax_cross_test",
     pytest_options={"rA": None, "durations": 0},
@@ -312,6 +314,8 @@ def job_name(self):
         "pip install --upgrade --upgrade-strategy eager pip",
         "pip install -U --upgrade-strategy eager .[sklearn,torch,testing,sentencepiece,torch-speech,vision,timm]",
         "pip install -U --upgrade-strategy eager -e git+https://github.com/huggingface/accelerate@main#egg=accelerate",
+        # TODO: remove this one after fixing the dependency issue(s) above
+        "pip install -U --upgrade-strategy eager torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu"
     ],
     parallelism=1,
     pytest_num_workers=6,

diff --git a/tests/models/fastspeech2_conformer/test_modeling_fastspeech2_conformer.py b/tests/models/fastspeech2_conformer/test_modeling_fastspeech2_conformer.py
@@ -533,6 +533,8 @@ def prepare_config_and_inputs_for_common(self):
         return config, inputs_dict
 
 
+@require_torch_accelerator
+@require_torch
 class FastSpeech2ConformerWithHifiGanTest(ModelTesterMixin, unittest.TestCase):
     all_model_classes = (FastSpeech2ConformerWithHifiGan,) if is_torch_available() else ()
     test_pruning = False