IlyasMoutawwakil HF staff commited on
Commit
36185f2
·
verified ·
1 Parent(s): 6fcea1b

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
@@ -2,95 +2,100 @@
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 1034.047488,
6
- "max_global_vram": 1122.844672,
7
- "max_process_vram": 288473.64096,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 745.087488
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 67,
14
- "total": 1.0039281358718872,
15
- "mean": 0.014984002027938615,
16
- "stdev": 0.00022898511400749918,
17
- "p50": 0.014990671157836914,
18
- "p90": 0.015253422927856445,
19
- "p95": 0.0153324631690979,
20
- "p99": 0.015455275592803956,
21
  "values": [
22
- 0.014208274841308594,
23
- 0.015108591079711913,
24
- 0.015110031127929687,
25
- 0.015075311660766602,
26
- 0.015035951614379883,
27
- 0.014948431968688964,
28
- 0.01497867202758789,
29
- 0.014885071754455567,
30
- 0.01485291290283203,
31
- 0.015232110977172851,
32
- 0.015118831634521485,
33
- 0.01505451202392578,
34
- 0.015090351104736327,
35
- 0.015110191345214843,
36
- 0.015298830986022948,
37
- 0.01516715145111084,
38
- 0.01499499225616455,
39
- 0.014921232223510742,
40
- 0.01506123161315918,
41
- 0.014920911788940429,
42
- 0.014923151969909667,
43
- 0.01512731170654297,
44
- 0.015236270904541016,
45
- 0.015182031631469726,
46
- 0.015317231178283692,
47
- 0.015078990936279298,
48
- 0.01515691089630127,
49
- 0.015084752082824707,
50
- 0.01498987102508545,
51
- 0.014877872467041016,
52
- 0.015195151329040528,
53
- 0.015499309539794922,
54
- 0.01527915096282959,
55
- 0.015229870796203613,
56
- 0.015341550827026366,
57
- 0.015432591438293458,
58
- 0.014990671157836914,
59
- 0.014880271911621093,
60
- 0.014951312065124511,
61
- 0.014675792694091796,
62
- 0.014672752380371093,
63
- 0.015042032241821289,
64
- 0.014675633430480957,
65
- 0.014672272682189942,
66
- 0.015083632469177245,
67
- 0.015338991165161133,
68
- 0.01495963191986084,
69
- 0.015087471008300782,
70
- 0.014792752265930176,
71
- 0.014837553024291992,
72
- 0.015031632423400878,
73
- 0.01478987216949463,
74
- 0.014931952476501465,
75
- 0.015210671424865723,
76
- 0.014821231842041016,
77
- 0.014783793449401856,
78
- 0.015103631973266602,
79
- 0.01493723201751709,
80
- 0.014808591842651367,
81
- 0.014943951606750489,
82
- 0.014734031677246094,
83
- 0.01470731258392334,
84
- 0.014626353263854981,
85
- 0.014852272987365722,
86
- 0.014606992721557617,
87
- 0.01462507152557373,
88
- 0.014627153396606446
 
 
 
 
 
89
  ]
90
  },
91
  "throughput": {
92
  "unit": "samples/s",
93
- "value": 66.73784467830671
94
  },
95
  "energy": null,
96
  "efficiency": null
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1034.0352,
6
+ "max_global_vram": 1122.83648,
7
+ "max_process_vram": 277642.395648,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 745.087488
10
  },
11
  "latency": {
12
  "unit": "s",
13
+ "count": 72,
14
+ "total": 1.0052200145721435,
15
+ "mean": 0.013961389091279771,
16
+ "stdev": 0.0007834292542593458,
17
+ "p50": 0.01372860050201416,
18
+ "p90": 0.0150167254447937,
19
+ "p95": 0.015656363439559937,
20
+ "p99": 0.016293905277252205,
21
  "values": [
22
+ 0.014593398094177246,
23
+ 0.015509716033935547,
24
+ 0.01579531478881836,
25
+ 0.015988594055175782,
26
+ 0.015812114715576173,
27
+ 0.015542675971984863,
28
+ 0.014742037773132325,
29
+ 0.014193078994750977,
30
+ 0.014283478736877442,
31
+ 0.014438999176025391,
32
+ 0.01411340045928955,
33
+ 0.014173080444335937,
34
+ 0.017041391372680664,
35
+ 0.014367959022521973,
36
+ 0.013872599601745606,
37
+ 0.013961400985717774,
38
+ 0.01354332160949707,
39
+ 0.013960280418395997,
40
+ 0.013262361526489257,
41
+ 0.013715961456298827,
42
+ 0.013646520614624024,
43
+ 0.013689241409301757,
44
+ 0.013184123039245606,
45
+ 0.013450040817260742,
46
+ 0.013851161003112794,
47
+ 0.014248438835144043,
48
+ 0.01448219871520996,
49
+ 0.015030357360839844,
50
+ 0.014228759765625,
51
+ 0.014233399391174316,
52
+ 0.013611321449279784,
53
+ 0.013150202751159667,
54
+ 0.013612442016601563,
55
+ 0.013386680603027343,
56
+ 0.01391900062561035,
57
+ 0.014216599464416503,
58
+ 0.013555002212524415,
59
+ 0.013272921562194824,
60
+ 0.013507480621337891,
61
+ 0.013513401985168457,
62
+ 0.01329868221282959,
63
+ 0.013518680572509765,
64
+ 0.013252283096313476,
65
+ 0.013272441864013673,
66
+ 0.013574840545654297,
67
+ 0.013281401634216308,
68
+ 0.013273241996765137,
69
+ 0.013671001434326173,
70
+ 0.013261242866516114,
71
+ 0.013241401672363281,
72
+ 0.013483482360839844,
73
+ 0.0132663631439209,
74
+ 0.01324188232421875,
75
+ 0.014130200386047363,
76
+ 0.014823637008666991,
77
+ 0.014894038200378419,
78
+ 0.01512443733215332,
79
+ 0.013830679893493653,
80
+ 0.013961400985717774,
81
+ 0.013786999702453614,
82
+ 0.013899161338806152,
83
+ 0.014286519050598145,
84
+ 0.013244441986083984,
85
+ 0.013399481773376465,
86
+ 0.013147003173828125,
87
+ 0.013339001655578614,
88
+ 0.013741239547729493,
89
+ 0.01343196201324463,
90
+ 0.013769400596618653,
91
+ 0.013370041847229003,
92
+ 0.01335068130493164,
93
+ 0.01335228157043457
94
  ]
95
  },
96
  "throughput": {
97
  "unit": "samples/s",
98
+ "value": 71.62611065861606
99
  },
100
  "energy": null,
101
  "efficiency": null