IlyasMoutawwakil HF staff commited on
Commit
c897ef9
·
verified ·
1 Parent(s): 59d2640

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
@@ -2,105 +2,102 @@
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 1028.071424,
6
- "max_global_vram": 1123.397632,
7
- "max_process_vram": 231373.520896,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 745.087488
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 77,
14
- "total": 1.0040295534133912,
15
- "mean": 0.013039344849524561,
16
- "stdev": 0.0005607178520187446,
17
- "p50": 0.012842920303344727,
18
- "p90": 0.013580011367797852,
19
- "p95": 0.013775051498413089,
20
- "p99": 0.015009992408752433,
21
  "values": [
22
- 0.012866921424865722,
23
- 0.012766119956970214,
24
- 0.012930920600891113,
25
- 0.012972841262817383,
26
- 0.012796680450439453,
27
- 0.012654919624328614,
28
- 0.01276867961883545,
29
- 0.012967560768127441,
30
- 0.013032200813293458,
31
- 0.012667400360107422,
32
- 0.012821479797363282,
33
- 0.01272387981414795,
34
- 0.013075241088867188,
35
- 0.012954601287841797,
36
- 0.013334921836853027,
37
- 0.013433642387390136,
38
- 0.013396041870117188,
39
- 0.013197482109069824,
40
- 0.013398282051086426,
41
- 0.013644843101501465,
42
- 0.01356228256225586,
43
- 0.013539882659912109,
44
- 0.01298884105682373,
45
- 0.01627573013305664,
46
- 0.012989801406860351,
47
- 0.012609959602355957,
48
- 0.012733799934387207,
49
- 0.01262771987915039,
50
- 0.012580039024353028,
51
- 0.012802440643310547,
52
- 0.012596359252929687,
53
- 0.012647239685058594,
54
- 0.012583079338073731,
55
- 0.012850601196289063,
56
- 0.012872039794921875,
57
- 0.012804200172424316,
58
- 0.01261299991607666,
59
- 0.012842920303344727,
60
- 0.012595399856567383,
61
- 0.01266051959991455,
62
- 0.012636198997497558,
63
- 0.012660839080810548,
64
- 0.012601799964904785,
65
- 0.012894281387329102,
66
- 0.012651880264282227,
67
- 0.012649160385131836,
68
- 0.012687399864196777,
69
- 0.012660999298095704,
70
- 0.01267171859741211,
71
- 0.012939559936523437,
72
- 0.012639240264892578,
73
- 0.013504202842712403,
74
- 0.014324685096740723,
75
- 0.013641642570495606,
76
- 0.01429588508605957,
77
- 0.014610285758972169,
78
- 0.013468841552734374,
79
- 0.013610762596130371,
80
- 0.013360522270202636,
81
- 0.013383401870727538,
82
- 0.012902279853820801,
83
- 0.01302932071685791,
84
- 0.012805320739746094,
85
- 0.012847880363464355,
86
- 0.012791239738464355,
87
- 0.01285811996459961,
88
- 0.012779399871826172,
89
- 0.012813640594482421,
90
- 0.012750439643859864,
91
- 0.013567083358764649,
92
- 0.013599403381347656,
93
- 0.012830920219421386,
94
- 0.012808039665222168,
95
- 0.012833001136779786,
96
- 0.013135400772094727,
97
- 0.0127877197265625,
98
- 0.012816519737243652
99
  ]
100
  },
101
  "throughput": {
102
  "unit": "samples/s",
103
- "value": 76.6909696415048
104
  },
105
  "energy": null,
106
  "efficiency": null
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1028.337664,
6
+ "max_global_vram": 1122.848768,
7
+ "max_process_vram": 230386.999296,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 745.087488
10
  },
11
  "latency": {
12
  "unit": "s",
13
+ "count": 74,
14
+ "total": 1.0020138673782346,
15
+ "mean": 0.013540727937543713,
16
+ "stdev": 0.0006016985314960902,
17
+ "p50": 0.013315743446350097,
18
+ "p90": 0.014179993343353273,
19
+ "p95": 0.01501592364311218,
20
+ "p99": 0.015651348972320556,
21
  "values": [
22
+ 0.01441269588470459,
23
+ 0.015482928276062012,
24
+ 0.0156499662399292,
25
+ 0.0156550874710083,
26
+ 0.013830459594726563,
27
+ 0.0135955810546875,
28
+ 0.013451102256774903,
29
+ 0.013602782249450683,
30
+ 0.013790619850158692,
31
+ 0.0136087007522583,
32
+ 0.013761340141296386,
33
+ 0.014014138221740722,
34
+ 0.01383862018585205,
35
+ 0.0152189302444458,
36
+ 0.013433663368225098,
37
+ 0.013167425155639649,
38
+ 0.013187264442443848,
39
+ 0.013243424415588378,
40
+ 0.013198464393615723,
41
+ 0.013201663970947266,
42
+ 0.0139006986618042,
43
+ 0.01378950023651123,
44
+ 0.013032546043395996,
45
+ 0.0132642240524292,
46
+ 0.013039905548095703,
47
+ 0.01329558277130127,
48
+ 0.01305862522125244,
49
+ 0.013419742584228516,
50
+ 0.013421982765197753,
51
+ 0.01327126407623291,
52
+ 0.013040865898132324,
53
+ 0.013106945037841797,
54
+ 0.013658141136169434,
55
+ 0.013708861351013183,
56
+ 0.01361526107788086,
57
+ 0.01411973762512207,
58
+ 0.013216705322265624,
59
+ 0.01313142490386963,
60
+ 0.013357502937316895,
61
+ 0.013355743408203126,
62
+ 0.013168384552001953,
63
+ 0.013772380828857423,
64
+ 0.013078946113586426,
65
+ 0.01312470531463623,
66
+ 0.013449982643127441,
67
+ 0.013102945327758788,
68
+ 0.013297344207763672,
69
+ 0.013334142684936523,
70
+ 0.013108704566955566,
71
+ 0.014321016311645509,
72
+ 0.014906612396240235,
73
+ 0.01399205780029297,
74
+ 0.013852700233459473,
75
+ 0.014205817222595216,
76
+ 0.013082305908203124,
77
+ 0.01311414623260498,
78
+ 0.01305478572845459,
79
+ 0.01301446533203125,
80
+ 0.01351622200012207,
81
+ 0.013157344818115235,
82
+ 0.013095266342163086,
83
+ 0.013116544723510742,
84
+ 0.013081185340881348,
85
+ 0.01353686237335205,
86
+ 0.013123105049133301,
87
+ 0.013172703742980957,
88
+ 0.013126145362854004,
89
+ 0.013166784286499023,
90
+ 0.013503902435302735,
91
+ 0.013165664672851563,
92
+ 0.013128223419189454,
93
+ 0.013182945251464843,
94
+ 0.013547901153564454,
95
+ 0.013261504173278808
 
 
 
96
  ]
97
  },
98
  "throughput": {
99
  "unit": "samples/s",
100
+ "value": 73.85127332980001
101
  },
102
  "energy": null,
103
  "efficiency": null