Upload 2025-11-05/runs/22687-19100672071/ci_results_run_models_gpu/model_results_extra.json with huggingface_hub
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2025-11-05/runs/22687-19100672071/ci_results_run_models_gpu/model_results_extra.json
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{
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"models_bart": {
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"captured_info": {}
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"models_csm": {
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"captured_info": {}
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"models_dia": {
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"captured_info": {
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"single": {
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"link": "https://github.com/huggingface/transformers/actions/runs/19100672071/job/54572139332#step:16:1",
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"captured_info": "test:\n\ntests/models/dia/test_modeling_dia.py::DiaForConditionalGenerationIntegrationTest::test_dia_model_integration_generate_audio_context\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/dia/test_modeling_dia.py:708\n\n torch.testing.assert_close(outputs_1[0].cpu(), EXPECTED_OUTPUT_TOKENS_1)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/dia/test_modeling_dia.py:708\n\n torch.testing.assert_close(outputs_1[0].cpu(), EXPECTED_OUTPUT_TOKENS_1)\n\n--------------------------------------------------------------------------------\n\npatched method: torch.testing._comparison.assert_close\n\n--------------------------------------------------------------------------------\n\nargument name: `actual`\nargument expression: `outputs_1[0].cpu()`\n\nargument value:\n\n[\n [1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [578, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [592, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [494, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 778, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 204, 684, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 254, 182, 111, 1026, 1026, 1026, 1026, 1026],\n [330, 215, 458, 349, 367, 1026, 1026, 1026, 1026],\n [330, 592, 529, 216, 502, 60, 1026, 1026, 1026],\n [330, 580, 117, 233, 337, 37, 191, 1026, 1026],\n [330, 567, 307, 618, 607, 179, 427, 842, 1026],\n [330, 627, 6, 381, 761, 189, 598, 209, 558],\n [1024, 875, 480, 530, 122, 656, 21, 149, 480],\n [1025, 875, 978, 458, 98, 656, 295, 122, 608],\n [1025, 397, 840, 413, 337, 784, 208, 742, 1017],\n [1025, 808, 569, 137, 907, 499, 227, 549, 403],\n [1025, 397, 952, 934, 1016, 173, 984, 112, 661],\n [1025, 875, 952, 666, 761, 345, 967, 604, 322],\n [1025, 875, 952, 762, 761, 94, 510, 994, 343],\n [1025, 474, 237, 410, 761, 182, 268, 41, 792],\n [1025, 1024, 771, 144, 761, 770, 273, 1010, 538],\n [1025, 1025, 1024, 160, 761, 782, 713, 790, 799],\n [1025, 1025, 1025, 1024, 761, 918, 660, 616, 1018],\n [1025, 1025, 1025, 1025, 1024, 91, 291, 724, 898],\n [1025, 1025, 1025, 1025, 1025, 1024, 637, 179, 755],\n [1025, 1025, 1025, 1025, 1025, 1025, 1024, 801, 71],\n [1025, 1025, 1025, 1025, 1025, 1025, 1025, 1024, 149],\n [1025, 1025, 1025, 1025, 1025, 1025, 1025, 1025, 1024],\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `expected`\nargument expression: `EXPECTED_OUTPUT_TOKENS_1`\n\nargument value:\n\n[\n [1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [578, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [592, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [494, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 501, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 204, 34, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 254, 915, 863, 1026, 1026, 1026, 1026, 1026],\n [330, 215, 458, 313, 50, 1026, 1026, 1026, 1026],\n [330, 615, 529, 216, 801, 237, 1026, 1026, 1026],\n [330, 580, 563, 233, 337, 37, 1018, 1026, 1026],\n [330, 567, 530, 753, 607, 179, 954, 242, 1026],\n [330, 627, 6, 1010, 500, 189, 598, 858, 247],\n [1024, 432, 480, 530, 122, 3, 788, 149, 814],\n [1025, 875, 826, 458, 98, 540, 181, 122, 608],\n [1025, 495, 840, 413, 337, 784, 591, 150, 1017],\n [1025, 808, 189, 137, 445, 0, 227, 658, 345],\n [1025, 397, 89, 753, 1016, 173, 984, 0, 910],\n [1025, 875, 460, 934, 50, 335, 670, 818, 722],\n [1025, 875, 460, 762, 119, 372, 503, 858, 584],\n [1025, 348, 555, 475, 469, 458, 963, 41, 664],\n [1025, 1024, 852, 683, 761, 193, 595, 895, 885],\n [1025, 1025, 1024, 135, 761, 902, 163, 623, 385],\n [1025, 1025, 1025, 1024, 852, 282, 581, 623, 70],\n [1025, 1025, 1025, 1025, 1024, 41, 661, 790, 977],\n [1025, 1025, 1025, 1025, 1025, 1024, 580, 401, 464],\n [1025, 1025, 1025, 1025, 1025, 1025, 1024, 756, 61],\n [1025, 1025, 1025, 1025, 1025, 1025, 1025, 1024, 752],\n [1025, 1025, 1025, 1025, 1025, 1025, 1025, 1025, 1024],\n]\n\n========================================================================================================================\n\n"
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},
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"multi": {
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"link": "https://github.com/huggingface/transformers/actions/runs/19100672071/job/54572139306#step:16:1",
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"captured_info": "test:\n\ntests/models/dia/test_modeling_dia.py::DiaForConditionalGenerationIntegrationTest::test_dia_model_integration_generate_audio_context\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/dia/test_modeling_dia.py:708\n\n torch.testing.assert_close(outputs_1[0].cpu(), EXPECTED_OUTPUT_TOKENS_1)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/dia/test_modeling_dia.py:708\n\n torch.testing.assert_close(outputs_1[0].cpu(), EXPECTED_OUTPUT_TOKENS_1)\n\n--------------------------------------------------------------------------------\n\npatched method: torch.testing._comparison.assert_close\n\n--------------------------------------------------------------------------------\n\nargument name: `actual`\nargument expression: `outputs_1[0].cpu()`\n\nargument value:\n\n[\n [1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [578, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [592, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [494, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 778, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 204, 684, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 254, 182, 111, 1026, 1026, 1026, 1026, 1026],\n [330, 215, 458, 349, 367, 1026, 1026, 1026, 1026],\n [330, 592, 529, 216, 502, 60, 1026, 1026, 1026],\n [330, 580, 117, 233, 337, 37, 191, 1026, 1026],\n [330, 567, 307, 618, 607, 179, 427, 842, 1026],\n [330, 627, 6, 381, 761, 189, 598, 209, 558],\n [1024, 875, 480, 530, 122, 656, 21, 149, 480],\n [1025, 875, 978, 458, 98, 656, 295, 122, 608],\n [1025, 397, 840, 413, 337, 784, 208, 742, 1017],\n [1025, 808, 569, 137, 907, 499, 227, 549, 403],\n [1025, 397, 952, 934, 1016, 173, 984, 112, 661],\n [1025, 875, 952, 666, 761, 345, 967, 604, 322],\n [1025, 875, 952, 762, 761, 94, 510, 994, 343],\n [1025, 474, 237, 410, 761, 182, 268, 41, 792],\n [1025, 1024, 771, 144, 761, 770, 273, 1010, 538],\n [1025, 1025, 1024, 160, 761, 782, 713, 790, 799],\n [1025, 1025, 1025, 1024, 761, 918, 660, 616, 1018],\n [1025, 1025, 1025, 1025, 1024, 91, 291, 724, 898],\n [1025, 1025, 1025, 1025, 1025, 1024, 637, 179, 755],\n [1025, 1025, 1025, 1025, 1025, 1025, 1024, 801, 71],\n [1025, 1025, 1025, 1025, 1025, 1025, 1025, 1024, 149],\n [1025, 1025, 1025, 1025, 1025, 1025, 1025, 1025, 1024],\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `expected`\nargument expression: `EXPECTED_OUTPUT_TOKENS_1`\n\nargument value:\n\n[\n [1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [578, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [592, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [494, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 1026, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 501, 1026, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 204, 34, 1026, 1026, 1026, 1026, 1026, 1026],\n [330, 254, 915, 863, 1026, 1026, 1026, 1026, 1026],\n [330, 215, 458, 313, 50, 1026, 1026, 1026, 1026],\n [330, 615, 529, 216, 801, 237, 1026, 1026, 1026],\n [330, 580, 563, 233, 337, 37, 1018, 1026, 1026],\n [330, 567, 530, 753, 607, 179, 954, 242, 1026],\n [330, 627, 6, 1010, 500, 189, 598, 858, 247],\n [1024, 432, 480, 530, 122, 3, 788, 149, 814],\n [1025, 875, 826, 458, 98, 540, 181, 122, 608],\n [1025, 495, 840, 413, 337, 784, 591, 150, 1017],\n [1025, 808, 189, 137, 445, 0, 227, 658, 345],\n [1025, 397, 89, 753, 1016, 173, 984, 0, 910],\n [1025, 875, 460, 934, 50, 335, 670, 818, 722],\n [1025, 875, 460, 762, 119, 372, 503, 858, 584],\n [1025, 348, 555, 475, 469, 458, 963, 41, 664],\n [1025, 1024, 852, 683, 761, 193, 595, 895, 885],\n [1025, 1025, 1024, 135, 761, 902, 163, 623, 385],\n [1025, 1025, 1025, 1024, 852, 282, 581, 623, 70],\n [1025, 1025, 1025, 1025, 1024, 41, 661, 790, 977],\n [1025, 1025, 1025, 1025, 1025, 1024, 580, 401, 464],\n [1025, 1025, 1025, 1025, 1025, 1025, 1024, 756, 61],\n [1025, 1025, 1025, 1025, 1025, 1025, 1025, 1024, 752],\n [1025, 1025, 1025, 1025, 1025, 1025, 1025, 1025, 1024],\n]\n\n========================================================================================================================\n\n"
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}
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}
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},
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"models_gpt2": {
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"captured_info": {}
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},
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"models_llama": {
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"captured_info": {}
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},
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"models_musicgen": {
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"captured_info": {}
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},
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"models_rag": {
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"captured_info": {}
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}
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}
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