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add Benchmark (pytest) benchmark result for 2f4aace
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Nov 27, 2023
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@@ -1,5 +1,5 @@ | ||
window.BENCHMARK_DATA = { | ||
"lastUpdate": 1700475988373, | ||
"lastUpdate": 1701096389672, | ||
"repoUrl": "https://github.com/huggingface/safetensors", | ||
"entries": { | ||
"Benchmark": [ | ||
|
@@ -12794,6 +12794,100 @@ window.BENCHMARK_DATA = { | |
"extra": "mean: 280.16763840001886 msec\nrounds: 5" | ||
} | ||
] | ||
}, | ||
{ | ||
"commit": { | ||
"author": { | ||
"email": "[email protected]", | ||
"name": "Nicolas Patry", | ||
"username": "Narsil" | ||
}, | ||
"committer": { | ||
"email": "[email protected]", | ||
"name": "GitHub", | ||
"username": "web-flow" | ||
}, | ||
"distinct": true, | ||
"id": "2f4aace53241a80222695f0e46f3883eb728a2a7", | ||
"message": "Releasing for python 3.12/3.13 and testing on 3.11. (#393)\n\n* Releasing for python 3.12/3.13 and testing on 3.11.\r\n\r\nNo 3.12 yet torch... https://github.com/pytorch/pytorch/issues/110436\r\n\r\n* Fix dev version.\r\n\r\n* Removing paddlepaddle for default tests. protobuf conflict issue being\r\ntoo old.\r\n\r\n* Skip paddle when not installed.", | ||
"timestamp": "2023-11-27T15:42:37+01:00", | ||
"tree_id": "a8966beea93426a74140b0a4518782f39600991d", | ||
"url": "https://github.com/huggingface/safetensors/commit/2f4aace53241a80222695f0e46f3883eb728a2a7" | ||
}, | ||
"date": 1701096388413, | ||
"tool": "pytest", | ||
"benches": [ | ||
{ | ||
"name": "benches/test_flax.py::test_flax_flax_load", | ||
"value": 2.087755671330062, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.01683886922967377", | ||
"extra": "mean: 478.9832515999933 msec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "benches/test_flax.py::test_flax_sf_load", | ||
"value": 2.914174465392526, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.01572641608257433", | ||
"extra": "mean: 343.15035419998594 msec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "benches/test_paddle.py::test_paddle_paddle_load", | ||
"value": 10.79910898387626, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.010634156686735929", | ||
"extra": "mean: 92.60023224999969 msec\nrounds: 8" | ||
}, | ||
{ | ||
"name": "benches/test_paddle.py::test_paddle_sf_load", | ||
"value": 2.122481770254463, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.013851202979450826", | ||
"extra": "mean: 471.1465672000145 msec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "benches/test_pt.py::test_pt_pt_load_cpu", | ||
"value": 13.322413883243662, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.03474247575946786", | ||
"extra": "mean: 75.06147224999182 msec\nrounds: 8" | ||
}, | ||
{ | ||
"name": "benches/test_pt.py::test_pt_sf_load_cpu", | ||
"value": 245.85555649519745, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.000457787623599618", | ||
"extra": "mean: 4.067428917432395 msec\nrounds: 218" | ||
}, | ||
{ | ||
"name": "benches/test_pt.py::test_pt_pt_load_cpu_small", | ||
"value": 31.039120189719373, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.026212680690453644", | ||
"extra": "mean: 32.217408028569544 msec\nrounds: 35" | ||
}, | ||
{ | ||
"name": "benches/test_pt.py::test_pt_sf_load_cpu_small", | ||
"value": 49.04847087607312, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.0010246258476845661", | ||
"extra": "mean: 20.387995428575557 msec\nrounds: 49" | ||
}, | ||
{ | ||
"name": "benches/test_tf.py::test_tf_tf_load", | ||
"value": 2.19917343899161, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.1081472541682243", | ||
"extra": "mean: 454.71629579999444 msec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "benches/test_tf.py::test_tf_sf_load", | ||
"value": 3.0859981466865127, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.016188380527374237", | ||
"extra": "mean: 324.04426460000195 msec\nrounds: 5" | ||
} | ||
] | ||
} | ||
] | ||
} | ||
|