Upload 2025-09-19/runs/53-17854622669/ci_results_run_examples_gpu/example_results.json with huggingface_hub
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2025-09-19/runs/53-17854622669/ci_results_run_examples_gpu/example_results.json
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{
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"failed": {
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"unclassified": 0,
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"single":
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"multi": 0
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"errors": 0,
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"success":
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"skipped": 2,
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"time_spent": [
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],
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"error": false,
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"failures": {
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"single": [
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{
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"line": "examples/pytorch/test_accelerate_examples.py::ExamplesTestsNoTrainer::test_run_object_detection_no_trainer",
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"trace": "(line 2539) transformers.testing_utils.SubprocessCallException: Command `accelerate launch --config_file /tmp/
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},
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{
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"line": "examples/pytorch/test_accelerate_examples.py::ExamplesTestsNoTrainer::test_run_summarization_no_trainer",
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"trace": "(line 2539) transformers.testing_utils.SubprocessCallException: Command `accelerate launch --config_file /tmp/
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},
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{
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"line": "examples/pytorch/test_pytorch_examples.py::ExamplesTests::test_run_audio_classification",
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"trace": "(line 840) NotImplementedError: Could not run 'torchcodec_ns::create_from_tensor' with arguments from the 'CPU' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'torchcodec_ns::create_from_tensor' is only available for these backends: [Meta, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradXLA, AutogradMPS, AutogradXPU, AutogradHPU, AutogradLazy, AutogradMTIA, AutogradMAIA, AutogradMeta, Tracer, AutocastCPU, AutocastMTIA, AutocastMAIA, AutocastXPU, AutocastMPS, AutocastCUDA, FuncTorchBatched, BatchedNestedTensor, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PreDispatch, PythonDispatcher]."
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},
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{
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"line": "examples/pytorch/test_pytorch_examples.py::ExamplesTests::test_run_object_detection",
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"trace": "(line 118) TypeError: BatchFeature.__init__() got an unexpected keyword argument 'size'"
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},
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{
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"line": "examples/pytorch/test_pytorch_examples.py::ExamplesTests::test_run_speech_recognition_ctc",
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"trace": "(line 771) NotImplementedError: Could not run 'torchcodec_ns::create_from_tensor' with arguments from the 'CPU' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'torchcodec_ns::create_from_tensor' is only available for these backends: [Meta, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradXLA, AutogradMPS, AutogradXPU, AutogradHPU, AutogradLazy, AutogradMTIA, AutogradMAIA, AutogradMeta, Tracer, AutocastCPU, AutocastMTIA, AutocastMAIA, AutocastXPU, AutocastMPS, AutocastCUDA, FuncTorchBatched, BatchedNestedTensor, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PreDispatch, PythonDispatcher]."
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]
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},
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"job_link": {
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"single": "https://github.com/huggingface/transformers/actions/runs/17854622669/job/
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}
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}
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{
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"failed": {
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"unclassified": 0,
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"single": 7,
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"multi": 0
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},
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"errors": 0,
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"success": 24,
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"skipped": 2,
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"time_spent": [
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614.3
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],
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"error": false,
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"failures": {
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"single": [
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{
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"line": "examples/pytorch/test_accelerate_examples.py::ExamplesTestsNoTrainer::test_run_object_detection_no_trainer",
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"trace": "(line 2539) transformers.testing_utils.SubprocessCallException: Command `accelerate launch --config_file /tmp/tmp8_tfpbj8/default_config.yml /transformers/examples/pytorch/object-detection/run_object_detection_no_trainer.py --model_name_or_path qubvel-hf/detr-resnet-50-finetuned-10k-cppe5 --dataset_name qubvel-hf/cppe-5-sample --output_dir /tmp/tmpyqj1b4yn --max_train_steps=10 --num_warmup_steps=2 --learning_rate=1e-6 --per_device_train_batch_size=2 --per_device_eval_batch_size=1 --checkpointing_steps epoch` failed with the following error:"
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},
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{
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"line": "examples/pytorch/test_accelerate_examples.py::ExamplesTestsNoTrainer::test_run_summarization_no_trainer",
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"trace": "(line 2539) transformers.testing_utils.SubprocessCallException: Command `accelerate launch --config_file /tmp/tmp8_tfpbj8/default_config.yml /transformers/examples/pytorch/summarization/run_summarization_no_trainer.py --model_name_or_path google-t5/t5-small --train_file tests/fixtures/tests_samples/xsum/sample.json --validation_file tests/fixtures/tests_samples/xsum/sample.json --output_dir /tmp/tmp85vdhsm5 --max_train_steps=50 --num_warmup_steps=8 --learning_rate=2e-4 --per_device_train_batch_size=2 --per_device_eval_batch_size=1 --checkpointing_steps epoch --with_tracking` failed with the following error:"
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},
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{
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"line": "examples/pytorch/test_pytorch_examples.py::ExamplesTests::test_run_audio_classification",
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"trace": "(line 840) NotImplementedError: Could not run 'torchcodec_ns::create_from_tensor' with arguments from the 'CPU' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'torchcodec_ns::create_from_tensor' is only available for these backends: [Meta, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradXLA, AutogradMPS, AutogradXPU, AutogradHPU, AutogradLazy, AutogradMTIA, AutogradMAIA, AutogradMeta, Tracer, AutocastCPU, AutocastMTIA, AutocastMAIA, AutocastXPU, AutocastMPS, AutocastCUDA, FuncTorchBatched, BatchedNestedTensor, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PreDispatch, PythonDispatcher]."
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},
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{
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"line": "examples/pytorch/test_pytorch_examples.py::ExamplesTests::test_run_speech_recognition_ctc",
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"trace": "(line 771) NotImplementedError: Could not run 'torchcodec_ns::create_from_tensor' with arguments from the 'CPU' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'torchcodec_ns::create_from_tensor' is only available for these backends: [Meta, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradXLA, AutogradMPS, AutogradXPU, AutogradHPU, AutogradLazy, AutogradMTIA, AutogradMAIA, AutogradMeta, Tracer, AutocastCPU, AutocastMTIA, AutocastMAIA, AutocastXPU, AutocastMPS, AutocastCUDA, FuncTorchBatched, BatchedNestedTensor, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PreDispatch, PythonDispatcher]."
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]
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},
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"job_link": {
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"single": "https://github.com/huggingface/transformers/actions/runs/17854622669/job/50779768533"
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}
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}
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