Upload 2025-12-05/runs/24778-19963357914/ci_results_run_models_gpu/model_results_extra.json with huggingface_hub
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2025-12-05/runs/24778-19963357914/ci_results_run_models_gpu/model_results_extra.json
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{
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"models_vibevoice": {
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"captured_info": {}
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},
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"models_vibevoice_acoustic_tokenizer": {
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"captured_info": {
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"single": {
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"link": "https://github.com/huggingface/transformers/actions/runs/19963357914/job/57249423332#step:16:1",
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"captured_info": "test:\n\ntests/models/vibevoice_acoustic_tokenizer/test_modeling_vibevoice_acoustic_tokenizer.py::VibeVoiceAcousticTokenizerIntegrationTest::test_batch_integration\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/vibevoice_acoustic_tokenizer/test_modeling_vibevoice_acoustic_tokenizer.py:338\n\n torch.testing.assert_close(encoder_out, expected_encoder, rtol=1e-6, atol=1e-6)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/vibevoice_acoustic_tokenizer/test_modeling_vibevoice_acoustic_tokenizer.py:338\n\n torch.testing.assert_close(encoder_out, expected_encoder, rtol=1e-6, atol=1e-6)\n\n--------------------------------------------------------------------------------\n\npatched method: torch.testing._comparison.assert_close\n\n--------------------------------------------------------------------------------\n\nargument name: 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},
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"multi": {
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"link": "https://github.com/huggingface/transformers/actions/runs/19963357914/job/57249423347#step:16:1",
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"captured_info": "test:\n\ntests/models/vibevoice_acoustic_tokenizer/test_modeling_vibevoice_acoustic_tokenizer.py::VibeVoiceAcousticTokenizerIntegrationTest::test_batch_integration\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/vibevoice_acoustic_tokenizer/test_modeling_vibevoice_acoustic_tokenizer.py:338\n\n torch.testing.assert_close(encoder_out, expected_encoder, rtol=1e-6, atol=1e-6)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/vibevoice_acoustic_tokenizer/test_modeling_vibevoice_acoustic_tokenizer.py:338\n\n torch.testing.assert_close(encoder_out, expected_encoder, rtol=1e-6, atol=1e-6)\n\n--------------------------------------------------------------------------------\n\npatched method: torch.testing._comparison.assert_close\n\n--------------------------------------------------------------------------------\n\nargument name: 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|
| 14 |
+
}
|
| 15 |
+
}
|
| 16 |
+
},
|
| 17 |
+
"models_vibevoice_semantic_tokenizer": {
|
| 18 |
+
"captured_info": {
|
| 19 |
+
"single": {
|
| 20 |
+
"link": "https://github.com/huggingface/transformers/actions/runs/19963357914/job/57249423326#step:16:1",
|
| 21 |
+
"captured_info": "test:\n\ntests/models/vibevoice_semantic_tokenizer/test_modeling_vibevoice_semantic_tokenizer.py::VibeVoiceSemanticTokenizerIntegrationTest::test_batch_integration\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/vibevoice_semantic_tokenizer/test_modeling_vibevoice_semantic_tokenizer.py:315\n\n torch.testing.assert_close(encoder_out, expected_encoder, rtol=1e-6, atol=1e-6)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/vibevoice_semantic_tokenizer/test_modeling_vibevoice_semantic_tokenizer.py:315\n\n torch.testing.assert_close(encoder_out, expected_encoder, rtol=1e-6, atol=1e-6)\n\n--------------------------------------------------------------------------------\n\npatched method: torch.testing._comparison.assert_close\n\n--------------------------------------------------------------------------------\n\nargument name: 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|
| 22 |
+
},
|
| 23 |
+
"multi": {
|
| 24 |
+
"link": "https://github.com/huggingface/transformers/actions/runs/19963357914/job/57249423340#step:16:1",
|
| 25 |
+
"captured_info": "test:\n\ntests/models/vibevoice_semantic_tokenizer/test_modeling_vibevoice_semantic_tokenizer.py::VibeVoiceSemanticTokenizerIntegrationTest::test_batch_integration\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/vibevoice_semantic_tokenizer/test_modeling_vibevoice_semantic_tokenizer.py:315\n\n torch.testing.assert_close(encoder_out, expected_encoder, rtol=1e-6, atol=1e-6)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/vibevoice_semantic_tokenizer/test_modeling_vibevoice_semantic_tokenizer.py:315\n\n torch.testing.assert_close(encoder_out, expected_encoder, rtol=1e-6, atol=1e-6)\n\n--------------------------------------------------------------------------------\n\npatched method: torch.testing._comparison.assert_close\n\n--------------------------------------------------------------------------------\n\nargument name: `actual`\nargument expression: `encoder_out`\n\nargument value:\n\n[\n [-1.9375e+00, -2.3438e+00, 3.8867e-01, 1.0312e+00, 6.0938e-01, 2.2969e+00, 2.8281e+00, 3.6328e-01, 3.6250e+00, -9.7656e-01, -1.2598e-01, -2.7969e+00, 2.7969e+00, 2.0156e+00, 1.0000e+00, 2.4219e+00, 1.3906e+00, -2.8750e+00, -2.0469e+00, -1.7422e+00, -3.2500e+00, -9.1250e+00, 3.6875e+00, 1.4375e+00, 4.3335e-03, 9.8828e-01, 1.5312e+00, 4.5000e+00, -5.9375e-01, 3.8750e+00, -2.6562e+00, -1.1719e+00, 1.0645e-01, -9.5312e-01, 1.4922e+00, -5.7129e-02, -1.7422e+00, -3.7500e+00, 9.8828e-01, 3.0273e-01, -8.9453e-01, 6.4062e+00, -2.1719e+00, 2.6250e+00, 8.7500e-01, 2.8594e+00, -1.0469e+00, -4.4375e+00, 2.2656e+00, 4.1875e+00, 2.2812e+00, 4.2812e+00, 1.4844e+00, 2.6562e+00, 2.1777e-01, -1.0625e+00, -4.0625e+00, -5.3750e+00, -4.3125e+00, -3.7109e-01, 2.8906e+00, -1.2812e+00, 1.5312e+00, 9.6484e-01, 5.1953e-01, 1.1641e+00, 1.6328e+00, -7.3125e+00, -1.3184e-01, -2.8320e-01, 4.3438e+00, 5.5000e+00, 9.0625e+00, -2.8594e+00, 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-2.7969e+00, -3.7500e+00, 8.7891e-01, 1.5234e+00, -3.3281e+00, -3.2812e+00, 3.5352e-01, 1.5039e-01, -2.3125e+00, -3.0938e+00, 3.1875e+00, 6.3750e+00, 4.3438e+00, -7.7188e+00, -9.6094e-01, -1.2891e+00, -9.5703e-01, 2.1562e+00, -3.1719e+00, 2.2188e+00, -7.8516e-01, 1.0312e+00, -7.8516e-01, -4.3750e+00, -1.5703e+00, 1.6016e+00, -6.0000e+00, 4.3359e-01, -3.5469e+00, 1.7031e+00, 6.2188e+00, -4.2188e+00, -4.7852e-01, -2.7500e+00, -1.8203e+00, -5.9062e+00, 4.4688e+00, -1.1641e+00, 1.6562e+00, 5.0625e+00, -1.0156e+00, 4.9688e+00, 3.7031e+00, 1.2969e+00, 3.1094e+00, 2.7344e+00], dtype=torch.bfloat16,\n [-3.1875e+00, -2.5625e+00, -5.0000e-01, 1.0703e+00, -8.6719e-01, 2.3125e+00, 2.6875e+00, 1.8047e+00, 4.0938e+00, -1.8750e+00, -2.0000e+00, -2.6094e+00, 2.9844e+00, 2.7500e+00, -9.8633e-02, 2.7188e+00, 5.0391e-01, -3.3594e+00, -2.5469e+00, -2.7656e+00, -3.6562e+00, -1.0312e+01, 3.8125e+00, 1.3125e+00, 1.9336e-01, -2.9492e-01, 1.8438e+00, 4.1875e+00, -5.8594e-01, 2.7656e+00, -2.2344e+00, -1.9297e+00, -7.6172e-02, -1.3906e+00, 1.7891e+00, 6.6797e-01, -7.9688e-01, -4.4688e+00, -8.2422e-01, 1.7188e+00, -7.9297e-01, 5.4688e+00, -1.4453e+00, 2.5938e+00, 5.1953e-01, 2.8750e+00, -2.0469e+00, -3.5000e+00, 1.5391e+00, 3.1562e+00, 2.3125e+00, 4.7500e+00, 1.7031e+00, 3.1562e+00, 2.1484e-01, -7.6562e-01, -3.9531e+00, -6.1250e+00, -4.0312e+00, -1.1406e+00, 2.2500e+00, -1.3203e+00, 1.2031e+00, -8.0078e-02, 7.0703e-01, 4.2188e-01, 1.6094e+00, -7.5938e+00, -4.1211e-01, -2.0156e+00, 2.5469e+00, 5.0625e+00, 8.3125e+00, -3.2969e+00, -7.1250e+00, -1.5938e+00, -1.4609e+00, -4.7500e+00, -3.2500e+00, -1.8125e+00, -4.3750e-01, 2.0312e+00, -5.4297e-01, 1.4141e+00, 3.1875e+00, -1.7500e+00, -1.3203e+00, -7.0312e-01, -3.2031e+00, 9.8047e-01, -8.8672e-01, 4.1250e+00, -9.0625e-01, 2.5156e+00, -6.4844e-01, 2.9062e+00, 2.5312e+00, 3.3281e+00, 1.5078e+00, -1.5781e+00, -1.2812e+00, 2.0625e+00, 8.9844e-01, -6.0938e-01, 1.1797e+00, 4.5625e+00, 9.8438e-01, -4.6289e-01, -4.3750e-01, -3.4375e+00, 5.3516e-01, -1.4922e+00, -3.2227e-01, 2.0625e+00, 2.0781e+00, 7.3750e+00, 7.4609e-01, -5.7812e+00, 2.0000e+00, -1.5039e-01, 4.1016e-01, 3.6523e-01, 3.7344e+00, 1.0078e+00, -3.8438e+00, -4.8438e-01, -9.6094e-01, 2.3750e+00, 1.2188e+00, 2.7500e+00, 2.5938e+00, 2.8125e+00, 2.0312e+00, -1.0781e+00, -3.6406e+00, -5.6250e+00, -1.0625e+00, -5.6250e-01, -3.2500e+00, -1.7500e+00, -1.5234e+00, 1.1875e+01, 3.2422e-01, -3.6406e+00, 9.5000e+00, 1.3750e+00, 2.1562e+00, -1.7656e+00, 1.8438e+00, 3.4961e-01, 3.7812e+00, 3.6719e+00, -3.9531e+00, 1.2266e+00, -3.6250e+00, -3.6250e+00, 1.6719e+00, 9.1016e-01, -3.7188e+00, -3.4062e+00, -6.1719e-01, 2.5195e-01, -2.9688e+00, -2.4844e+00, 3.6562e+00, 5.9375e+00, 3.5781e+00, -8.3125e+00, -9.2578e-01, -1.2734e+00, -1.4844e+00, 2.1875e+00, -3.3906e+00, 2.4844e+00, -7.3438e-01, 6.5625e-01, -2.8125e-01, -5.5625e+00, -1.8359e+00, 1.7578e+00, -5.9062e+00, 1.1719e+00, -4.0625e+00, 8.0469e-01, 5.7188e+00, -4.2188e+00, -8.4766e-01, -3.1250e+00, -1.2344e+00, -5.6562e+00, 4.0000e+00, -9.1797e-01, 1.6953e+00, 5.2500e+00, -1.4531e+00, 4.9062e+00, 4.2188e+00, 1.5312e+00, 2.8438e+00, 2.6406e+00], dtype=torch.bfloat16,\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `expected`\nargument expression: `expected_encoder`\n\nargument value:\n\n[\n [-1.9297e+00, -2.3438e+00, 3.9453e-01, 1.0312e+00, 6.2109e-01, 2.2969e+00, 2.8281e+00, 3.4961e-01, 3.6250e+00, -9.7656e-01, -1.0986e-01, -2.7812e+00, 2.7969e+00, 2.0000e+00, 1.0156e+00, 2.4062e+00, 1.3906e+00, -2.8750e+00, -2.0469e+00, -1.7344e+00, -3.2500e+00, -9.1250e+00, 3.6875e+00, 1.4375e+00, 1.4954e-03, 1.0078e+00, 1.5312e+00, 4.5312e+00, -5.9375e-01, 3.8906e+00, -2.6719e+00, -1.1641e+00, 1.0840e-01, -9.5312e-01, 1.4922e+00, -5.9570e-02, -1.7422e+00, -3.7344e+00, 1.0078e+00, 2.8516e-01, -8.9844e-01, 6.4375e+00, -2.1719e+00, 2.6250e+00, 8.7891e-01, 2.8594e+00, -1.0312e+00, -4.4375e+00, 2.2812e+00, 4.1875e+00, 2.2812e+00, 4.2812e+00, 1.4766e+00, 2.6562e+00, 2.2266e-01, -1.0625e+00, -4.0625e+00, -5.3750e+00, -4.3438e+00, -3.6523e-01, 2.8906e+00, -1.2812e+00, 1.5312e+00, 9.7266e-01, 5.1953e-01, 1.1719e+00, 1.6406e+00, -7.3125e+00, -1.2988e-01, -2.6758e-01, 4.3438e+00, 5.5000e+00, 9.0625e+00, -2.8594e+00, -6.9375e+00, -6.0547e-01, -8.7500e-01, -4.8125e+00, -3.5938e+00, -2.5156e+00, -5.0000e-01, 1.8906e+00, -1.1377e-01, 9.2969e-01, 3.2812e+00, -1.7891e+00, -1.2812e+00, -7.8125e-01, -2.2188e+00, 1.8906e+00, -2.6562e-01, 3.1562e+00, -6.2109e-01, 1.8281e+00, -9.9609e-01, 3.5469e+00, 2.5781e+00, 2.6875e+00, 2.4023e-01, -2.2656e+00, -7.5391e-01, 1.9531e+00, 4.1602e-01, -2.4805e-01, 1.3438e+00, 4.5938e+00, 1.8164e-01, -8.1250e-01, -7.4219e-01, -3.3281e+00, 7.5781e-01, -1.3828e+00, -5.0781e-01, 2.0000e+00, 1.1953e+00, 8.5625e+00, 7.5391e-01, -4.5312e+00, 2.2031e+00, -5.8594e-01, 1.7266e+00, 2.6172e-01, 3.2500e+00, 3.2422e-01, -3.7812e+00, 5.3906e-01, -1.0000e+00, 2.0625e+00, 1.9844e+00, 3.4531e+00, 2.5469e+00, 3.0156e+00, 2.3125e+00, -1.3828e+00, -3.0781e+00, -4.1562e+00, -1.3438e+00, -6.3281e-01, -3.5312e+00, -1.9297e+00, -1.6875e+00, 1.2250e+01, 5.4688e-01, -3.2969e+00, 9.0000e+00, 1.0234e+00, 2.7656e+00, -1.8516e+00, 1.9219e+00, 1.7090e-01, 4.2500e+00, 3.5312e+00, -3.3594e+00, 9.7266e-01, -2.7812e+00, -3.7500e+00, 8.7500e-01, 1.5312e+00, -3.3281e+00, -3.2656e+00, 3.6328e-01, 1.3867e-01, -2.3125e+00, -3.0938e+00, 3.1875e+00, 6.3750e+00, 4.3438e+00, -7.6875e+00, -9.6094e-01, -1.2891e+00, -9.5312e-01, 2.1562e+00, -3.1719e+00, 2.2188e+00, -7.8516e-01, 1.0312e+00, -7.8125e-01, -4.3750e+00, -1.5703e+00, 1.6094e+00, -6.0000e+00, 4.2188e-01, -3.5469e+00, 1.7109e+00, 6.2188e+00, -4.1875e+00, -4.7656e-01, -2.7344e+00, -1.8281e+00, -5.9062e+00, 4.4688e+00, -1.1719e+00, 1.6641e+00, 5.0625e+00, -1.0156e+00, 4.9688e+00, 3.7031e+00, 1.2969e+00, 3.1094e+00, 2.7344e+00], dtype=torch.bfloat16,\n [-3.1875e+00, -2.5625e+00, -5.0391e-01, 1.0703e+00, -8.6328e-01, 2.3125e+00, 2.6875e+00, 1.8125e+00, 4.0938e+00, -1.8750e+00, -2.0156e+00, -2.6094e+00, 2.9844e+00, 2.7500e+00, -1.0449e-01, 2.7188e+00, 5.0391e-01, -3.3750e+00, -2.5469e+00, -2.7656e+00, -3.6562e+00, -1.0312e+01, 3.8125e+00, 1.3125e+00, 1.9922e-01, -3.0078e-01, 1.8438e+00, 4.1875e+00, -5.8203e-01, 2.7500e+00, -2.2344e+00, -1.9297e+00, -8.1543e-02, -1.3906e+00, 1.7812e+00, 6.7188e-01, -7.9297e-01, -4.4688e+00, -8.2812e-01, 1.7188e+00, -7.9297e-01, 5.4688e+00, -1.4453e+00, 2.5938e+00, 5.1562e-01, 2.8750e+00, -2.0469e+00, -3.5000e+00, 1.5391e+00, 3.1562e+00, 2.3125e+00, 4.7500e+00, 1.7031e+00, 3.1562e+00, 2.1094e-01, -7.6562e-01, -3.9531e+00, -6.1250e+00, -4.0000e+00, -1.1406e+00, 2.2500e+00, -1.3125e+00, 1.2031e+00, -8.1055e-02, 7.1094e-01, 4.1992e-01, 1.6094e+00, -7.5938e+00, -4.1211e-01, -2.0156e+00, 2.5469e+00, 5.0625e+00, 8.3125e+00, -3.2969e+00, -7.1250e+00, -1.5938e+00, -1.4609e+00, -4.7500e+00, -3.2500e+00, -1.8047e+00, -4.3945e-01, 2.0312e+00, -5.3906e-01, 1.4141e+00, 3.1875e+00, -1.7422e+00, -1.3125e+00, -7.0312e-01, -3.2031e+00, 9.8047e-01, -8.8281e-01, 4.1562e+00, -9.0625e-01, 2.5156e+00, -6.4844e-01, 2.9062e+00, 2.5312e+00, 3.3281e+00, 1.5078e+00, -1.5703e+00, -1.2812e+00, 2.0625e+00, 8.9844e-01, -6.0938e-01, 1.1797e+00, 4.5625e+00, 9.8438e-01, -4.6094e-01, -4.3555e-01, -3.4375e+00, 5.3516e-01, -1.4922e+00, -3.2422e-01, 2.0625e+00, 2.0781e+00, 7.3750e+00, 7.4609e-01, -5.7812e+00, 2.0156e+00, -1.4941e-01, 4.0430e-01, 3.6328e-01, 3.7344e+00, 1.0156e+00, -3.8438e+00, -4.8438e-01, -9.5703e-01, 2.3750e+00, 1.2188e+00, 2.7500e+00, 2.5938e+00, 2.7969e+00, 2.0469e+00, -1.0859e+00, -3.6406e+00, -5.6250e+00, -1.0625e+00, -5.5469e-01, -3.2500e+00, -1.7578e+00, -1.5312e+00, 1.1875e+01, 3.2227e-01, -3.6562e+00, 9.5000e+00, 1.3828e+00, 2.1562e+00, -1.7578e+00, 1.8438e+00, 3.4961e-01, 3.7812e+00, 3.6719e+00, -3.9531e+00, 1.2188e+00, -3.6250e+00, -3.6250e+00, 1.6797e+00, 9.1406e-01, -3.7188e+00, -3.4062e+00, -6.2500e-01, 2.5195e-01, -2.9531e+00, -2.4844e+00, 3.6562e+00, 5.9375e+00, 3.5781e+00, -8.3125e+00, -9.1797e-01, -1.2734e+00, -1.4766e+00, 2.1875e+00, -3.3906e+00, 2.4844e+00, -7.2656e-01, 6.5625e-01, -2.8125e-01, -5.5625e+00, -1.8359e+00, 1.7500e+00, -5.9062e+00, 1.1797e+00, -4.0625e+00, 7.9688e-01, 5.7188e+00, -4.2188e+00, -8.3984e-01, -3.1250e+00, -1.2266e+00, -5.6562e+00, 3.9844e+00, -9.1016e-01, 1.6953e+00, 5.2500e+00, -1.4531e+00, 4.9062e+00, 4.2188e+00, 1.5312e+00, 2.8281e+00, 2.6406e+00], dtype=torch.bfloat16,\n]\n\n========================================================================================================================\n\n"
|
| 26 |
+
}
|
| 27 |
+
}
|
| 28 |
+
}
|
| 29 |
+
}
|