Hugging Face's logo

Datasets:
optimum-benchmark
/
rocm

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
77ca2e1
·
verified ·
1 Parent(s): fa75027

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 +90 -90
cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json CHANGED
@@ -2,24 +2,24 @@
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 892.174336,
6
- "max_global_vram": 3346.501632,
7
- "max_process_vram": 46442.131456,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 736.603648
10
  },
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
- "total": 7.49821728515625,
15
- "mean": 7.49821728515625,
16
  "stdev": 0.0,
17
- "p50": 7.49821728515625,
18
- "p90": 7.49821728515625,
19
- "p95": 7.49821728515625,
20
- "p99": 7.49821728515625,
21
  "values": [
22
- 7.49821728515625
23
  ]
24
  },
25
  "throughput": null,
@@ -29,97 +29,97 @@
29
  "forward": {
30
  "memory": {
31
  "unit": "MB",
32
- "max_ram": 1036.92288,
33
- "max_global_vram": 3409.424384,
34
- "max_process_vram": 306040.680448,
35
  "max_reserved": 773.849088,
36
  "max_allocated": 745.086976
37
  },
38
  "latency": {
39
  "unit": "s",
40
  "count": 69,
41
- "total": 1.0022013053894043,
42
- "mean": 0.014524656599846437,
43
- "stdev": 0.0004823327478456479,
44
- "p50": 0.01448509693145752,
45
- "p90": 0.01497952938079834,
46
- "p95": 0.015056328964233399,
47
- "p99": 0.015876006965637197,
48
  "values": [
49
- 0.0154338960647583,
50
- 0.014426377296447754,
51
- 0.014575177192687989,
52
- 0.014427337646484375,
53
- 0.015049736022949218,
54
- 0.015058696746826172,
55
- 0.014172138214111328,
56
- 0.01418797779083252,
57
- 0.014904136657714845,
58
- 0.015006537437438966,
59
- 0.014794377326965332,
60
- 0.014893416404724122,
61
- 0.01485341739654541,
62
- 0.014906537055969239,
63
- 0.01472717571258545,
64
- 0.014853897094726563,
65
- 0.014731017112731934,
66
- 0.014925256729125976,
67
- 0.014779497146606445,
68
- 0.014903017044067383,
69
- 0.014749576568603515,
70
- 0.014965895652770997,
71
- 0.014915496826171874,
72
- 0.014940775871276856,
73
- 0.01474333667755127,
74
- 0.014801257133483887,
75
- 0.015162216186523438,
76
- 0.014972777366638183,
77
- 0.01478925609588623,
78
- 0.015052777290344238,
79
- 0.014924296379089355,
80
- 0.014522216796875,
81
- 0.014117258071899414,
82
- 0.014304457664489746,
83
- 0.014114056587219238,
84
- 0.01472093677520752,
85
- 0.014925896644592285,
86
- 0.016815492630004883,
87
- 0.014669096946716309,
88
- 0.014656617164611816,
89
- 0.014432297706604005,
90
- 0.01448509693145752,
91
- 0.014436777114868165,
92
- 0.014645896911621093,
93
- 0.014037737846374512,
94
- 0.014222698211669922,
95
- 0.01403901767730713,
96
- 0.014024778366088867,
97
- 0.014036297798156738,
98
- 0.014036137580871582,
99
- 0.014058697700500488,
100
- 0.014028138160705566,
101
- 0.014238376617431641,
102
- 0.014050217628479003,
103
- 0.01403389835357666,
104
- 0.013988457679748535,
105
- 0.014020618438720702,
106
- 0.014052457809448242,
107
- 0.013994057655334473,
108
- 0.01419933795928955,
109
- 0.014071337699890137,
110
- 0.014063178062438965,
111
- 0.014039498329162597,
112
- 0.014143017768859864,
113
- 0.014023338317871094,
114
- 0.014083176612854005,
115
- 0.014041897773742675,
116
- 0.014119176864624024,
117
- 0.014082378387451171
118
  ]
119
  },
120
  "throughput": {
121
  "unit": "samples/s",
122
- "value": 68.84844355016095
123
  },
124
  "energy": null,
125
  "efficiency": null
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 892.0064,
6
+ "max_global_vram": 3346.49344,
7
+ "max_process_vram": 45806.379008,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 736.603648
10
  },
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 7.1790283203125,
15
+ "mean": 7.1790283203125,
16
  "stdev": 0.0,
17
+ "p50": 7.1790283203125,
18
+ "p90": 7.1790283203125,
19
+ "p95": 7.1790283203125,
20
+ "p99": 7.1790283203125,
21
  "values": [
22
+ 7.1790283203125
23
  ]
24
  },
25
  "throughput": null,
 
29
  "forward": {
30
  "memory": {
31
  "unit": "MB",
32
+ "max_ram": 1036.787712,
33
+ "max_global_vram": 3409.420288,
34
+ "max_process_vram": 287652.10624,
35
  "max_reserved": 773.849088,
36
  "max_allocated": 745.086976
37
  },
38
  "latency": {
39
  "unit": "s",
40
  "count": 69,
41
+ "total": 1.0040672073364258,
42
+ "mean": 0.014551698657049647,
43
+ "stdev": 0.0005174539672021701,
44
+ "p50": 0.014547325134277344,
45
+ "p90": 0.015060699653625487,
46
+ "p95": 0.01530607509613037,
47
+ "p99": 0.01590014152526855,
48
  "values": [
49
+ 0.015572922706604004,
50
+ 0.015676603317260743,
51
+ 0.015211323738098144,
52
+ 0.014312926292419434,
53
+ 0.01434652614593506,
54
+ 0.014142206192016601,
55
+ 0.013968287467956543,
56
+ 0.01408476734161377,
57
+ 0.01488252353668213,
58
+ 0.01505388355255127,
59
+ 0.015087964057922364,
60
+ 0.016375160217285155,
61
+ 0.015369242668151855,
62
+ 0.01476540470123291,
63
+ 0.015013724327087403,
64
+ 0.01478764533996582,
65
+ 0.015002524375915528,
66
+ 0.014780764579772948,
67
+ 0.0149342041015625,
68
+ 0.014719485282897949,
69
+ 0.014977084159851075,
70
+ 0.014785405158996581,
71
+ 0.014997243881225586,
72
+ 0.01477836513519287,
73
+ 0.014975963592529297,
74
+ 0.014766844749450683,
75
+ 0.014947323799133301,
76
+ 0.014208286285400391,
77
+ 0.014813725471496581,
78
+ 0.013961087226867676,
79
+ 0.014337725639343261,
80
+ 0.014114366531372071,
81
+ 0.01437772560119629,
82
+ 0.014405885696411132,
83
+ 0.014100445747375488,
84
+ 0.014152766227722168,
85
+ 0.014609086036682128,
86
+ 0.013663007736206054,
87
+ 0.014326366424560547,
88
+ 0.013785886764526366,
89
+ 0.013593406677246093,
90
+ 0.014220605850219727,
91
+ 0.013610048294067383,
92
+ 0.014053086280822753,
93
+ 0.014378206253051758,
94
+ 0.014212446212768555,
95
+ 0.01358572769165039,
96
+ 0.014128286361694336,
97
+ 0.014051965713500977,
98
+ 0.01370684814453125,
99
+ 0.01468956470489502,
100
+ 0.014876124382019042,
101
+ 0.014761404991149902,
102
+ 0.015159804344177246,
103
+ 0.014727644920349121,
104
+ 0.014796283721923828,
105
+ 0.01490668487548828,
106
+ 0.014683805465698242,
107
+ 0.013930206298828124,
108
+ 0.014502845764160156,
109
+ 0.01411612606048584,
110
+ 0.014865084648132324,
111
+ 0.014480125427246094,
112
+ 0.014385886192321777,
113
+ 0.014378205299377441,
114
+ 0.014796283721923828,
115
+ 0.014547325134277344,
116
+ 0.014464125633239747,
117
+ 0.01428636646270752
118
  ]
119
  },
120
  "throughput": {
121
  "unit": "samples/s",
122
+ "value": 68.72049948035068
123
  },
124
  "energy": null,
125
  "efficiency": null