Hugging Face's logo

Datasets:
optimum-benchmark
/
rocm

Dataset card Files
xet
Community
IlyasMoutawwakil HF Staff commited on
Commit
c67ea9c
·
verified ·
1 Parent(s): 494f8f7

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

Browse files
Files changed (1) hide show
  1. cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json +83 -85
cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json CHANGED
@@ -2,101 +2,99 @@
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 1026.90816,
6
- "max_global_vram": 2103.226368,
7
- "max_process_vram": 239249.035264,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 745.087488
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 73,
14
- "total": 1.0020606813430786,
15
- "mean": 0.013726858648535322,
16
- "stdev": 0.0004930121338117998,
17
- "p50": 0.013566572189331055,
18
- "p90": 0.014304172325134278,
19
- "p95": 0.014471691894531248,
20
- "p99": 0.01531950138092041,
21
  "values": [
22
- 0.013991531372070312,
23
- 0.01466545295715332,
24
- 0.014287531852722168,
25
- 0.01393169116973877,
26
- 0.013573931694030763,
27
- 0.013688970565795898,
28
- 0.013878252029418945,
29
- 0.014358092308044433,
30
- 0.013518731117248535,
31
- 0.014184012413024902,
32
- 0.014308332443237304,
33
- 0.015744013786315916,
34
- 0.013727371215820312,
35
- 0.013429611206054688,
36
- 0.0134451322555542,
37
- 0.013461291313171387,
38
- 0.01341377067565918,
39
- 0.013485132217407226,
40
- 0.01342337131500244,
41
- 0.01351089096069336,
42
- 0.013401290893554688,
43
- 0.013544331550598145,
44
- 0.013427210807800292,
45
- 0.013457290649414063,
46
- 0.013431371688842774,
47
- 0.013450410842895508,
48
- 0.013438250541687012,
49
- 0.013449932098388672,
50
- 0.013520971298217773,
51
- 0.013155851364135742,
52
- 0.01310417079925537,
53
- 0.012565610885620117,
54
- 0.01334929084777832,
55
- 0.013547531127929687,
56
- 0.013566572189331055,
57
- 0.013523051261901856,
58
- 0.013503690719604493,
59
- 0.013571051597595215,
60
- 0.013502731323242187,
61
- 0.013519371032714844,
62
- 0.013582411766052247,
63
- 0.013568490982055663,
64
- 0.013708492279052735,
65
- 0.013660011291503906,
66
- 0.013529611587524413,
67
- 0.013538411140441894,
68
- 0.013630571365356446,
69
- 0.013516331672668457,
70
- 0.01355393123626709,
71
- 0.013576811790466308,
72
- 0.013516651153564454,
73
- 0.013544330596923828,
74
- 0.01358913230895996,
75
- 0.013532490730285644,
76
- 0.015154413223266602,
77
- 0.014629132270812988,
78
- 0.014072491645812988,
79
- 0.014042572021484375,
80
- 0.01402705192565918,
81
- 0.01399009132385254,
82
- 0.014354572296142579,
83
- 0.014043051719665528,
84
- 0.01403313159942627,
85
- 0.014132652282714844,
86
- 0.013982571601867676,
87
- 0.01410145092010498,
88
- 0.014049132347106934,
89
- 0.014055691719055175,
90
- 0.014366731643676758,
91
- 0.014085452079772949,
92
- 0.013530730247497558,
93
- 0.012595531463623046,
94
- 0.012709450721740723
95
  ]
96
  },
97
  "throughput": {
98
  "unit": "samples/s",
99
- "value": 72.84987961223754
100
  },
101
  "energy": null,
102
  "efficiency": null
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1027.055616,
6
+ "max_global_vram": 2612.547584,
7
+ "max_process_vram": 258941.423616,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 745.087488
10
  },
11
  "latency": {
12
  "unit": "s",
13
+ "count": 71,
14
+ "total": 1.0068145980834966,
15
+ "mean": 0.01418048729695065,
16
+ "stdev": 0.00021855613171502814,
17
+ "p50": 0.014149323463439941,
18
+ "p90": 0.014326923370361328,
19
+ "p95": 0.01442364454269409,
20
+ "p99": 0.014863677310943601,
21
  "values": [
22
+ 0.013980043411254884,
23
+ 0.014014283180236816,
24
+ 0.014149323463439941,
25
+ 0.014053643226623535,
26
+ 0.01384388256072998,
27
+ 0.013795882225036622,
28
+ 0.013717001914978027,
29
+ 0.015579248428344726,
30
+ 0.014215563774108887,
31
+ 0.014155882835388184,
32
+ 0.014007883071899414,
33
+ 0.014150762557983398,
34
+ 0.014056523323059083,
35
+ 0.014068523406982421,
36
+ 0.014227402687072755,
37
+ 0.014030282974243163,
38
+ 0.014144043922424316,
39
+ 0.014249802589416504,
40
+ 0.014038602828979492,
41
+ 0.014061002731323243,
42
+ 0.014219722747802734,
43
+ 0.01412484359741211,
44
+ 0.014024203300476074,
45
+ 0.014242762565612794,
46
+ 0.014084524154663085,
47
+ 0.014043083190917969,
48
+ 0.01420244312286377,
49
+ 0.014063882827758788,
50
+ 0.014121962547302245,
51
+ 0.014229963302612305,
52
+ 0.014113323211669922,
53
+ 0.014094602584838868,
54
+ 0.014034122467041015,
55
+ 0.01434100341796875,
56
+ 0.01408884334564209,
57
+ 0.014114442825317383,
58
+ 0.014277323722839356,
59
+ 0.01411572265625,
60
+ 0.01430372428894043,
61
+ 0.014396843910217285,
62
+ 0.01416340446472168,
63
+ 0.014128843307495116,
64
+ 0.01430916404724121,
65
+ 0.014073002815246581,
66
+ 0.014073163032531739,
67
+ 0.014279562950134278,
68
+ 0.014179083824157715,
69
+ 0.014124362945556641,
70
+ 0.0143152437210083,
71
+ 0.014084362983703613,
72
+ 0.014098123550415039,
73
+ 0.014326923370361328,
74
+ 0.014140522956848145,
75
+ 0.014061963081359864,
76
+ 0.014354124069213867,
77
+ 0.014209484100341797,
78
+ 0.014150603294372559,
79
+ 0.014450445175170898,
80
+ 0.014147083282470703,
81
+ 0.014141802787780761,
82
+ 0.014170763969421386,
83
+ 0.014182923316955566,
84
+ 0.01455700397491455,
85
+ 0.014262443542480468,
86
+ 0.014246283531188965,
87
+ 0.014271082878112793,
88
+ 0.014279884338378906,
89
+ 0.014243884086608887,
90
+ 0.014490763664245605,
91
+ 0.014288522720336915,
92
+ 0.014232843399047852
 
 
93
  ]
94
  },
95
  "throughput": {
96
  "unit": "samples/s",
97
+ "value": 70.51943837043163
98
  },
99
  "energy": null,
100
  "efficiency": null