IlyasMoutawwakil HF staff commited on
Commit
563ac86
·
verified ·
1 Parent(s): a49a805

Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json with huggingface_hub

Browse files
cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json CHANGED
@@ -2,96 +2,105 @@
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 1027.198976,
6
- "max_global_vram": 3321.831424,
7
- "max_process_vram": 253035.06944,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 745.087488
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 68,
14
- "total": 1.0052615175247193,
15
- "mean": 0.014783257610657637,
16
- "stdev": 0.00034341352653737326,
17
- "p50": 0.014657403945922852,
18
- "p90": 0.015145659255981447,
19
- "p95": 0.015525208950042724,
20
- "p99": 0.015905511360168458,
21
  "values": [
22
- 0.014236764907836914,
23
- 0.015141402244567871,
24
- 0.015143643379211426,
25
- 0.014984602928161622,
26
- 0.014965402603149413,
27
- 0.014874842643737793,
28
- 0.01479516315460205,
29
- 0.014986042976379394,
30
- 0.015150362968444825,
31
- 0.01513164234161377,
32
- 0.015256443023681641,
33
- 0.015546040534973144,
34
- 0.01548652172088623,
35
- 0.01510748291015625,
36
- 0.015113243103027344,
37
- 0.014913243293762207,
38
- 0.015042363166809082,
39
- 0.01589004135131836,
40
- 0.015936920166015625,
41
- 0.014846684455871582,
42
- 0.01444300365447998,
43
- 0.014499163627624512,
44
- 0.01471580410003662,
45
- 0.014437244415283204,
46
- 0.014441083908081055,
47
- 0.014736924171447754,
48
- 0.014448123931884766,
49
- 0.014535484313964843,
50
- 0.014761883735656739,
51
- 0.014579483985900879,
52
- 0.014539963722229004,
53
- 0.014582524299621582,
54
- 0.014504124641418457,
55
- 0.0148209228515625,
56
- 0.014483484268188476,
57
- 0.015630361557006835,
58
- 0.014818042755126952,
59
- 0.014753724098205566,
60
- 0.014491643905639649,
61
- 0.014771162986755371,
62
- 0.014519164085388184,
63
- 0.014527324676513673,
64
- 0.014839003562927246,
65
- 0.014567323684692383,
66
- 0.014562204360961914,
67
- 0.014786362648010254,
68
- 0.014523003578186035,
69
- 0.01452348518371582,
70
- 0.014821723937988281,
71
- 0.014618043899536132,
72
- 0.014568763732910156,
73
- 0.014826522827148438,
74
- 0.014532283782958984,
75
- 0.014552924156188965,
76
- 0.014511323928833008,
77
- 0.014510205268859863,
78
- 0.014961883544921875,
79
- 0.014588443756103516,
80
- 0.01463228416442871,
81
- 0.014638684272766113,
82
- 0.01459756374359131,
83
- 0.015036282539367675,
84
- 0.014643644332885742,
85
- 0.014671163558959961,
86
- 0.014493885040283204,
87
- 0.014544282913208008,
88
- 0.014537723541259765,
89
- 0.014583003997802735
 
 
 
 
 
 
 
 
 
90
  ]
91
  },
92
  "throughput": {
93
  "unit": "samples/s",
94
- "value": 67.6440894379784
95
  },
96
  "energy": null,
97
  "efficiency": null
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1027.362816,
6
+ "max_global_vram": 3321.81504,
7
+ "max_process_vram": 234327.191552,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 745.087488
10
  },
11
  "latency": {
12
  "unit": "s",
13
+ "count": 77,
14
+ "total": 0.997211236953735,
15
+ "mean": 0.012950795285113444,
16
+ "stdev": 0.000530629742357722,
17
+ "p50": 0.012761075019836426,
18
+ "p90": 0.013527376556396487,
19
+ "p95": 0.013993102645874025,
20
+ "p99": 0.014655526733398429,
21
  "values": [
22
+ 0.012874514579772948,
23
+ 0.013040115356445312,
24
+ 0.0131141939163208,
25
+ 0.013265873908996582,
26
+ 0.013139634132385255,
27
+ 0.0128770751953125,
28
+ 0.01284603500366211,
29
+ 0.012850674629211425,
30
+ 0.012929715156555176,
31
+ 0.012933074951171875,
32
+ 0.012874195098876953,
33
+ 0.01311019515991211,
34
+ 0.013093234062194824,
35
+ 0.013200274467468262,
36
+ 0.013082514762878418,
37
+ 0.015952263832092285,
38
+ 0.0139839506149292,
39
+ 0.013865550994873048,
40
+ 0.013271953582763672,
41
+ 0.012960433959960938,
42
+ 0.012727955818176269,
43
+ 0.012789074897766112,
44
+ 0.0126082763671875,
45
+ 0.012761075019836426,
46
+ 0.012891634941101075,
47
+ 0.012727155685424804,
48
+ 0.01263083553314209,
49
+ 0.012733555793762208,
50
+ 0.012553556442260742,
51
+ 0.012762035369873047,
52
+ 0.012955155372619629,
53
+ 0.012905875205993652,
54
+ 0.012738514900207519,
55
+ 0.01261435604095459,
56
+ 0.01275195598602295,
57
+ 0.012574516296386718,
58
+ 0.012710994720458984,
59
+ 0.012586835861206055,
60
+ 0.012745875358581543,
61
+ 0.012562835693359375,
62
+ 0.012743796348571777,
63
+ 0.01260843563079834,
64
+ 0.012767475128173828,
65
+ 0.012603796005249024,
66
+ 0.012749395370483398,
67
+ 0.012556116104125976,
68
+ 0.012706835746765137,
69
+ 0.012535956382751465,
70
+ 0.01271435546875,
71
+ 0.012568916320800781,
72
+ 0.013914511680603028,
73
+ 0.014129871368408204,
74
+ 0.013825072288513183,
75
+ 0.014029710769653321,
76
+ 0.014246030807495117,
77
+ 0.013175953865051269,
78
+ 0.013306353569030762,
79
+ 0.01274187469482422,
80
+ 0.01299179458618164,
81
+ 0.012746834754943847,
82
+ 0.01273227596282959,
83
+ 0.012606514930725097,
84
+ 0.012747316360473633,
85
+ 0.01266411590576172,
86
+ 0.0125469970703125,
87
+ 0.013093074798583985,
88
+ 0.013328912734985352,
89
+ 0.012595155715942382,
90
+ 0.012541075706481934,
91
+ 0.012549076080322265,
92
+ 0.012883475303649902,
93
+ 0.012570996284484864,
94
+ 0.012581235885620117,
95
+ 0.012563316345214844,
96
+ 0.012861075401306153,
97
+ 0.012529555320739747,
98
+ 0.012556435585021973
99
  ]
100
  },
101
  "throughput": {
102
  "unit": "samples/s",
103
+ "value": 77.215335273616
104
  },
105
  "energy": null,
106
  "efficiency": null