Upload 2026-01-08/runs/26386-20823115347/ci_results_run_models_gpu/model_results_extra.json with huggingface_hub
Browse files
2026-01-08/runs/26386-20823115347/ci_results_run_models_gpu/model_results_extra.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"models_bit": {
|
| 3 |
+
"captured_info": {
|
| 4 |
+
"single": {
|
| 5 |
+
"link": "https://github.com/huggingface/transformers/actions/runs/20823115347/job/59817512066#step:16:1",
|
| 6 |
+
"captured_info": "test:\n\ntests/models/bit/test_modeling_bit.py::BitModelTest::test_batching_equivalence\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/test_modeling_common.py:1503\n\n recursive_check(model_batched_output[key], model_row_output[key], model_name, key)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/test_modeling_common.py:1461\n\n torch.testing.assert_close(batched_row, single_row_object, atol=atol, rtol=rtol)\n\n--------------------------------------------------------------------------------\n\npatched method: torch.testing._comparison.assert_close\n\n--------------------------------------------------------------------------------\n\nargument name: `actual`\nargument expression: `batched_row`\n\nargument value:\n\n[\n [\n [[0.0109]],\n [[0.0165]],\n [[0.0240]],\n [[0.0270]],\n [[0.]],\n [[0.0094]],\n [[0.]],\n [[0.]],\n [[0.0011]],\n [[0.0288]],\n [[0.]],\n [[0.]],\n [[0.0047]],\n [[0.]],\n [[0.]],\n [[0.]],\n [[0.0117]],\n [[0.]],\n [[0.0366]],\n [[0.]],\n [[0.]],\n [[0.0183]],\n [[0.]],\n [[0.]],\n [[0.0018]],\n [[0.0409]],\n [[0.]],\n [[0.0182]],\n [[0.0314]],\n [[0.0133]],\n [[0.0069]],\n [[0.0470]],\n [[0.0340]],\n [[0.0164]],\n [[0.0468]],\n [[0.]],\n [[0.]],\n [[0.]],\n [[0.0068]],\n [[0.]],\n [[0.]],\n [[0.]],\n [[0.]],\n [[0.]],\n [[0.]],\n [[0.0233]],\n [[0.0024]],\n [[0.0052]],\n [[0.]],\n [[0.]],\n [[0.0023]],\n [[0.0154]],\n [[0.]],\n [[0.]],\n [[0.0363]],\n [[0.0296]],\n [[0.]],\n [[0.0135]],\n [[0.0143]],\n [[0.]],\n [[0.]],\n [[0.]],\n [[0.]],\n [[0.]],\n ],\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `expected`\nargument expression: `single_row_object`\n\nargument value:\n\n[\n [\n [[0.0109]],\n [[0.0165]],\n [[0.0240]],\n [[0.0270]],\n [[0.]],\n [[0.0094]],\n [[0.]],\n [[0.]],\n [[0.0011]],\n [[0.0289]],\n [[0.]],\n [[0.]],\n [[0.0047]],\n [[0.]],\n [[0.]],\n [[0.]],\n [[0.0117]],\n [[0.]],\n [[0.0366]],\n [[0.]],\n [[0.]],\n [[0.0183]],\n [[0.]],\n [[0.]],\n [[0.0018]],\n [[0.0409]],\n [[0.]],\n [[0.0182]],\n [[0.0314]],\n [[0.0133]],\n [[0.0069]],\n [[0.0470]],\n [[0.0340]],\n [[0.0164]],\n [[0.0468]],\n [[0.]],\n [[0.]],\n [[0.]],\n [[0.0068]],\n [[0.]],\n [[0.]],\n [[0.]],\n [[0.]],\n [[0.]],\n [[0.]],\n [[0.0233]],\n [[0.0025]],\n [[0.0052]],\n [[0.]],\n [[0.]],\n [[0.0023]],\n [[0.0154]],\n [[0.]],\n [[0.]],\n [[0.0363]],\n [[0.0295]],\n [[0.]],\n [[0.0135]],\n [[0.0143]],\n [[0.]],\n [[0.]],\n [[0.]],\n [[0.]],\n [[0.]],\n ],\n]\n\n========================================================================================================================\n\n"
|
| 7 |
+
},
|
| 8 |
+
"multi": {
|
| 9 |
+
"link": "https://github.com/huggingface/transformers/actions/runs/20823115347/job/59817512129#step:16:1",
|
| 10 |
+
"captured_info": "test:\n\ntests/models/bit/test_modeling_bit.py::BitModelTest::test_batching_equivalence\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/test_modeling_common.py:1503\n\n recursive_check(model_batched_output[key], model_row_output[key], model_name, key)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/test_modeling_common.py:1461\n\n torch.testing.assert_close(batched_row, single_row_object, atol=atol, rtol=rtol)\n\n--------------------------------------------------------------------------------\n\npatched method: torch.testing._comparison.assert_close\n\n--------------------------------------------------------------------------------\n\nargument name: `actual`\nargument expression: `batched_row`\n\nargument value:\n\n[\n [\n [\n [-0.0123, 0.1896],\n [-0.0440, 0.0182],\n ],\n [\n [-0.0430, -0.0618],\n [0.0103, -0.0781],\n ],\n [\n [0.0182, -0.0624],\n [-0.0665, -0.0186],\n ],\n [\n [-0.0455, -0.0550],\n [0.0148, -0.0380],\n ],\n [\n [0.0223, -0.0131],\n [-0.0956, 0.0309],\n ],\n [\n [-0.0074, 0.1124],\n [0.0260, -0.0056],\n ],\n [\n [0.0428, 0.0352],\n [0.0013, 0.0569],\n ],\n [\n [-0.0046, -0.0379],\n [-0.0237, 0.0265],\n ],\n [\n [-0.0037, -0.1052],\n [-0.0374, -0.0034],\n ],\n [\n [-0.0141, 0.0417],\n [-0.0675, -0.0295],\n ],\n [\n [0.0200, -0.0020],\n [-0.0331, -0.0316],\n ],\n [\n [-0.0304, -0.0383],\n [0.0837, 0.0252],\n ],\n [\n [0.0186, 0.1416],\n [-0.0546, -0.0173],\n ],\n [\n [0.0248, 0.0284],\n [-0.0564, 0.0353],\n ],\n [\n [0.0751, 0.0957],\n [-0.0637, 0.0039],\n ],\n [\n [-0.0622, 0.0914],\n [-0.1104, -0.0239],\n ],\n [\n [0.0553, -0.1080],\n [0.0199, 0.0141],\n ],\n [\n [0.0111, 0.0083],\n [-0.0397, 0.0321],\n ],\n [\n [-0.0614, -0.0292],\n [-0.0343, -0.0380],\n ],\n [\n [0.0184, -0.0831],\n [-0.0130, 0.0038],\n ],\n [\n [-0.0191, 0.0808],\n [0.0418, 0.0289],\n ],\n [\n [-0.0042, 0.0272],\n [0.0440, 0.0168],\n ],\n [\n [-0.0391, -0.0177],\n [0.0528, -0.0222],\n ],\n [\n [-0.0473, -0.0431],\n [0.1022, -0.0398],\n ],\n [\n [-0.0139, -0.0925],\n [-0.0517, -0.0022],\n ],\n [\n [0.0120, 0.0125],\n [0.0107, -0.0070],\n ],\n [\n [0.0173, 0.0247],\n [-0.0332, -0.0015],\n ],\n [\n [0.0084, 0.0886],\n [0.0591, 0.0210],\n ],\n [\n [0.0225, -0.0098],\n [-0.0351, 0.0066],\n ],\n [\n [0.0298, 0.0636],\n [0.0623, 0.0439],\n ],\n [\n [-0.0020, 0.0227],\n [0.0950, 0.0188],\n ],\n [\n [-0.0459, -0.0302],\n [-0.0252, -0.0510],\n ],\n ],\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `expected`\nargument expression: `single_row_object`\n\nargument value:\n\n[\n [\n [\n [-0.0123, 0.1896],\n [-0.0440, 0.0182],\n ],\n [\n [-0.0430, -0.0618],\n [0.0103, -0.0781],\n ],\n [\n [0.0182, -0.0624],\n [-0.0665, -0.0186],\n ],\n [\n [-0.0455, -0.0550],\n [0.0148, -0.0380],\n ],\n [\n [0.0223, -0.0131],\n [-0.0956, 0.0310],\n ],\n [\n [-0.0074, 0.1124],\n [0.0260, -0.0056],\n ],\n [\n [0.0428, 0.0352],\n [0.0013, 0.0569],\n ],\n [\n [-0.0046, -0.0379],\n [-0.0237, 0.0265],\n ],\n [\n [-0.0037, -0.1051],\n [-0.0374, -0.0034],\n ],\n [\n [-0.0141, 0.0417],\n [-0.0675, -0.0295],\n ],\n [\n [0.0200, -0.0020],\n [-0.0331, -0.0316],\n ],\n [\n [-0.0304, -0.0383],\n [0.0837, 0.0253],\n ],\n [\n [0.0186, 0.1416],\n [-0.0546, -0.0173],\n ],\n [\n [0.0248, 0.0284],\n [-0.0564, 0.0353],\n ],\n [\n [0.0751, 0.0957],\n [-0.0637, 0.0038],\n ],\n [\n [-0.0622, 0.0914],\n [-0.1104, -0.0238],\n ],\n [\n [0.0553, -0.1080],\n [0.0199, 0.0141],\n ],\n [\n [0.0110, 0.0083],\n [-0.0397, 0.0322],\n ],\n [\n [-0.0614, -0.0292],\n [-0.0343, -0.0380],\n ],\n [\n [0.0184, -0.0831],\n [-0.0130, 0.0038],\n ],\n [\n [-0.0191, 0.0808],\n [0.0418, 0.0289],\n ],\n [\n [-0.0042, 0.0272],\n [0.0440, 0.0168],\n ],\n [\n [-0.0391, -0.0177],\n [0.0528, -0.0222],\n ],\n [\n [-0.0473, -0.0431],\n [0.1022, -0.0398],\n ],\n [\n [-0.0139, -0.0925],\n [-0.0517, -0.0021],\n ],\n [\n [0.0120, 0.0125],\n [0.0107, -0.0070],\n ],\n [\n [0.0173, 0.0247],\n [-0.0332, -0.0015],\n ],\n [\n [0.0084, 0.0887],\n [0.0591, 0.0210],\n ],\n [\n [0.0225, -0.0098],\n [-0.0351, 0.0066],\n ],\n [\n [0.0298, 0.0636],\n [0.0623, 0.0439],\n ],\n [\n [-0.0020, 0.0227],\n [0.0950, 0.0188],\n ],\n [\n [-0.0459, -0.0302],\n [-0.0252, -0.0511],\n ],\n ],\n]\n\n========================================================================================================================\n\n"
|
| 11 |
+
}
|
| 12 |
+
}
|
| 13 |
+
}
|
| 14 |
+
}
|