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add Benchmark (pytest) benchmark result for a2afb0a
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Dec 5, 2023
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@@ -1,5 +1,5 @@ | ||
window.BENCHMARK_DATA = { | ||
"lastUpdate": 1701096389672, | ||
"lastUpdate": 1701788635931, | ||
"repoUrl": "https://github.com/huggingface/safetensors", | ||
"entries": { | ||
"Benchmark": [ | ||
|
@@ -12888,6 +12888,100 @@ window.BENCHMARK_DATA = { | |
"extra": "mean: 324.04426460000195 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": "a2afb0a78636a542fbd2ffab5b4a9886c8b29ad8", | ||
"message": "Adding stale action. (#398)\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.\r\n\r\n* Adding a stale action.", | ||
"timestamp": "2023-12-05T16:00:09+01:00", | ||
"tree_id": "3b1bf6a4bffd700f14d739f3f28027c835b17e57", | ||
"url": "https://github.com/huggingface/safetensors/commit/a2afb0a78636a542fbd2ffab5b4a9886c8b29ad8" | ||
}, | ||
"date": 1701788634636, | ||
"tool": "pytest", | ||
"benches": [ | ||
{ | ||
"name": "benches/test_flax.py::test_flax_flax_load", | ||
"value": 1.9564200377820433, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.012741274026641644", | ||
"extra": "mean: 511.1376804000031 msec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "benches/test_flax.py::test_flax_sf_load", | ||
"value": 2.864600809337842, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.014457194825533", | ||
"extra": "mean: 349.08877940000025 msec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "benches/test_paddle.py::test_paddle_paddle_load", | ||
"value": 7.598535962215075, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.02986045664054218", | ||
"extra": "mean: 131.60429916666297 msec\nrounds: 6" | ||
}, | ||
{ | ||
"name": "benches/test_paddle.py::test_paddle_sf_load", | ||
"value": 3.279894747285382, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.02757118722865196", | ||
"extra": "mean: 304.8878324000043 msec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "benches/test_pt.py::test_pt_pt_load_cpu", | ||
"value": 9.13356864383692, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.0110253719819789", | ||
"extra": "mean: 109.48623030000135 msec\nrounds: 10" | ||
}, | ||
{ | ||
"name": "benches/test_pt.py::test_pt_sf_load_cpu", | ||
"value": 252.09877103453053, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.0004639828363402257", | ||
"extra": "mean: 3.9666992262450487 msec\nrounds: 221" | ||
}, | ||
{ | ||
"name": "benches/test_pt.py::test_pt_pt_load_cpu_small", | ||
"value": 32.247828824720166, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.02455801228488242", | ||
"extra": "mean: 31.009839621619168 msec\nrounds: 37" | ||
}, | ||
{ | ||
"name": "benches/test_pt.py::test_pt_sf_load_cpu_small", | ||
"value": 50.91529216380417, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.0011978435037344143", | ||
"extra": "mean: 19.640464730769096 msec\nrounds: 52" | ||
}, | ||
{ | ||
"name": "benches/test_tf.py::test_tf_tf_load", | ||
"value": 2.232331886821418, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.08161551257507671", | ||
"extra": "mean: 447.9620641999986 msec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "benches/test_tf.py::test_tf_sf_load", | ||
"value": 3.106975360145305, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.028644859149264085", | ||
"extra": "mean: 321.8564308000282 msec\nrounds: 5" | ||
} | ||
] | ||
} | ||
] | ||
} | ||
|