IlyasMoutawwakil HF staff commited on
Commit
cc85823
·
verified ·
1 Parent(s): e682bae

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 +2,102 @@
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 1026.883584,
6
- "max_global_vram": 2103.238656,
7
- "max_process_vram": 305219.923968,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 745.087488
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 68,
14
- "total": 1.0066305952072143,
15
- "mean": 0.014803391105988446,
16
- "stdev": 0.00035079622213195417,
17
- "p50": 0.014694595336914062,
18
- "p90": 0.015343605136871337,
19
- "p95": 0.015413534212112426,
20
- "p99": 0.0157149308013916,
21
  "values": [
22
- 0.01460195541381836,
23
- 0.015339237213134765,
24
- 0.01543699836730957,
25
- 0.015446916580200195,
26
- 0.01536995792388916,
27
- 0.015304516792297364,
28
- 0.014908995628356934,
29
- 0.014624035835266114,
30
- 0.014458914756774903,
31
- 0.01462211513519287,
32
- 0.014666436195373535,
33
- 0.014589795112609863,
34
- 0.014428674697875976,
35
- 0.014500354766845703,
36
- 0.014629156112670898,
37
- 0.015101797103881836,
38
- 0.014744515419006348,
39
- 0.014758596420288086,
40
- 0.014672836303710938,
41
- 0.014682114601135254,
42
- 0.014442754745483398,
43
- 0.014926276206970214,
44
- 0.015138276100158691,
45
- 0.01516019630432129,
46
- 0.01461827564239502,
47
- 0.01484691619873047,
48
- 0.01470707607269287,
49
- 0.01496867561340332,
50
- 0.014792515754699706,
51
- 0.014940516471862793,
52
- 0.014668195724487305,
53
- 0.014861955642700195,
54
- 0.015362117767333984,
55
- 0.015149795532226562,
56
- 0.015260996818542481,
57
- 0.015440196990966796,
58
- 0.01486099624633789,
59
- 0.01473939609527588,
60
- 0.0148878755569458,
61
- 0.01459379482269287,
62
- 0.014487395286560059,
63
- 0.01510515594482422,
64
- 0.014613796234130859,
65
- 0.014481795310974122,
66
- 0.014708515167236327,
67
- 0.01463011646270752,
68
- 0.015040355682373047,
69
- 0.014908837318420411,
70
- 0.014613954544067383,
71
- 0.014619074821472167,
72
- 0.014862915992736817,
73
- 0.014607074737548829,
74
- 0.014547554969787598,
75
- 0.014771395683288575,
76
- 0.01625908088684082,
77
- 0.01535379695892334,
78
- 0.01448627471923828,
79
- 0.01449283504486084,
80
- 0.01447315502166748,
81
- 0.014387234687805176,
82
- 0.01474803638458252,
83
- 0.014437314987182617,
84
- 0.014430754661560059,
85
- 0.014601634979248048,
86
- 0.014424995422363281,
87
- 0.014454434394836426,
88
- 0.014420353889465332,
89
- 0.014408034324645996
 
 
 
 
 
 
90
  ]
91
  },
92
  "throughput": {
93
  "unit": "samples/s",
94
- "value": 67.55208943952498
95
  },
96
  "energy": null,
97
  "efficiency": null
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1026.875392,
6
+ "max_global_vram": 3321.819136,
7
+ "max_process_vram": 272727.63392,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 745.087488
10
  },
11
  "latency": {
12
  "unit": "s",
13
+ "count": 74,
14
+ "total": 1.0012947425842285,
15
+ "mean": 0.013531010034922006,
16
+ "stdev": 0.0005346260419389814,
17
+ "p50": 0.013416301727294922,
18
+ "p90": 0.014316636180877687,
19
+ "p95": 0.014435906934738158,
20
+ "p99": 0.015104565896987911,
21
  "values": [
22
+ 0.014346540451049805,
23
+ 0.014418378829956054,
24
+ 0.014353099822998048,
25
+ 0.014468459129333497,
26
+ 0.014246859550476075,
27
+ 0.014197420120239258,
28
+ 0.013766059875488281,
29
+ 0.013591980934143067,
30
+ 0.013747501373291015,
31
+ 0.013390380859375,
32
+ 0.014222538948059082,
33
+ 0.013341740608215332,
34
+ 0.01368894100189209,
35
+ 0.013326380729675293,
36
+ 0.01354206085205078,
37
+ 0.013562380790710449,
38
+ 0.014140780448913575,
39
+ 0.015667656898498535,
40
+ 0.014381580352783203,
41
+ 0.013311020851135254,
42
+ 0.013048941612243653,
43
+ 0.01355869960784912,
44
+ 0.013351981163024901,
45
+ 0.013798701286315917,
46
+ 0.013861579895019531,
47
+ 0.014036299705505371,
48
+ 0.013511981010437012,
49
+ 0.013635661125183106,
50
+ 0.01376173973083496,
51
+ 0.013585420608520507,
52
+ 0.013330060958862305,
53
+ 0.01301726245880127,
54
+ 0.012981741905212403,
55
+ 0.013450860977172852,
56
+ 0.012995182037353515,
57
+ 0.012931341171264649,
58
+ 0.013318060874938965,
59
+ 0.012967822074890136,
60
+ 0.013268780708312989,
61
+ 0.013322541236877442,
62
+ 0.012981101989746094,
63
+ 0.013109901428222655,
64
+ 0.013356781005859375,
65
+ 0.01299774169921875,
66
+ 0.012960302352905273,
67
+ 0.013405582427978516,
68
+ 0.012979822158813476,
69
+ 0.012985422134399413,
70
+ 0.013458221435546876,
71
+ 0.01301598072052002,
72
+ 0.012996142387390136,
73
+ 0.013427021026611329,
74
+ 0.01299694061279297,
75
+ 0.012984461784362793,
76
+ 0.013598220825195313,
77
+ 0.01302526092529297,
78
+ 0.013039502143859863,
79
+ 0.013045101165771485,
80
+ 0.013390541076660156,
81
+ 0.014896299362182617,
82
+ 0.014537259101867676,
83
+ 0.013900300979614259,
84
+ 0.013623020172119141,
85
+ 0.014004620552062988,
86
+ 0.013549421310424805,
87
+ 0.013967659950256348,
88
+ 0.013287181854248048,
89
+ 0.01304270076751709,
90
+ 0.01351870059967041,
91
+ 0.01309438133239746,
92
+ 0.013065900802612305,
93
+ 0.013041101455688476,
94
+ 0.01304142189025879,
95
+ 0.013524300575256347
96
  ]
97
  },
98
  "throughput": {
99
  "unit": "samples/s",
100
+ "value": 73.90431293887988
101
  },
102
  "energy": null,
103
  "efficiency": null