IlyasMoutawwakil HF staff commited on
Commit
1ac9a34
·
verified ·
1 Parent(s): bc35d8b

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
@@ -2,108 +2,99 @@
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 1023.5904,
6
- "max_global_vram": 1122.869248,
7
- "max_process_vram": 297340.772352,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 745.087488
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 80,
14
- "total": 1.0064200000762942,
15
- "mean": 0.012580250000953674,
16
- "stdev": 0.0005794106577831661,
17
- "p50": 0.012255734920501709,
18
- "p90": 0.013297764492034913,
19
- "p95": 0.013759947967529298,
20
- "p99": 0.01449089952468872,
21
  "values": [
22
- 0.01308413314819336,
23
- 0.013221892356872558,
24
- 0.01329421329498291,
25
- 0.013328291893005372,
26
- 0.013490212440490723,
27
- 0.01329437255859375,
28
- 0.013197413444519043,
29
- 0.01305085277557373,
30
- 0.01317565155029297,
31
- 0.013031972885131835,
32
- 0.013177733421325683,
33
- 0.013005252838134765,
34
- 0.013148933410644532,
35
- 0.013002693176269531,
36
- 0.013041253089904786,
37
- 0.012918373107910157,
38
- 0.014669249534606934,
39
- 0.014443490028381347,
40
- 0.01220173454284668,
41
- 0.012247654914855957,
42
- 0.012614853858947754,
43
- 0.012185894966125488,
44
- 0.01224909496307373,
45
- 0.012357575416564941,
46
- 0.012103335380554199,
47
- 0.012206854820251465,
48
- 0.012093894958496094,
49
- 0.012149575233459473,
50
- 0.012178215026855468,
51
- 0.01243869400024414,
52
- 0.012130214691162109,
53
- 0.01212589454650879,
54
- 0.012199335098266602,
55
- 0.01236621379852295,
56
- 0.01214973545074463,
57
- 0.012340934753417968,
58
- 0.01214557456970215,
59
- 0.012155815124511719,
60
- 0.012135334968566894,
61
- 0.012231655120849609,
62
- 0.012159174919128417,
63
- 0.012619494438171387,
64
- 0.012198214530944823,
65
- 0.012358533859252929,
66
- 0.012313735008239747,
67
- 0.012286374092102051,
68
- 0.012192934989929198,
69
- 0.012144615173339843,
70
- 0.012162694931030274,
71
- 0.012174534797668456,
72
- 0.012180933952331543,
73
- 0.012289734840393066,
74
- 0.012130535125732422,
75
- 0.012159814834594726,
76
- 0.012152295112609863,
77
- 0.01211821460723877,
78
- 0.012157255172729493,
79
- 0.012347494125366211,
80
- 0.012170374870300293,
81
- 0.012164614677429198,
82
- 0.012171814918518067,
83
- 0.012177413940429687,
84
- 0.012262374877929687,
85
- 0.012198534965515137,
86
- 0.012182374954223633,
87
- 0.01218301486968994,
88
- 0.012187813758850098,
89
- 0.01219117546081543,
90
- 0.012186534881591797,
91
- 0.012311655044555664,
92
- 0.012426374435424804,
93
- 0.012137254714965821,
94
- 0.013227012634277344,
95
- 0.013853411674499511,
96
- 0.01333485221862793,
97
- 0.013756772041320801,
98
- 0.013820290565490723,
99
- 0.012812614440917969,
100
- 0.013064772605895995,
101
- 0.012868291854858398
102
  ]
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
- "value": 79.48967627226746
107
  },
108
  "energy": null,
109
  "efficiency": null
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1023.209472,
6
+ "max_global_vram": 1122.87744,
7
+ "max_process_vram": 292419.162112,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 745.087488
10
  },
11
  "latency": {
12
  "unit": "s",
13
+ "count": 71,
14
+ "total": 1.0097987728118896,
15
+ "mean": 0.014222517926928023,
16
+ "stdev": 0.0007848184291063737,
17
+ "p50": 0.014199787139892579,
18
+ "p90": 0.01499210262298584,
19
+ "p95": 0.015157943248748779,
20
+ "p99": 0.016101283836364742,
21
  "values": [
22
+ 0.013763307571411133,
23
+ 0.014952424049377442,
24
+ 0.015461702346801758,
25
+ 0.015509061813354492,
26
+ 0.015211302757263184,
27
+ 0.014722503662109376,
28
+ 0.014478985786437987,
29
+ 0.01427242660522461,
30
+ 0.014032587051391602,
31
+ 0.014199787139892579,
32
+ 0.013807309150695802,
33
+ 0.01390298843383789,
34
+ 0.013427470207214355,
35
+ 0.01384954833984375,
36
+ 0.013862347602844239,
37
+ 0.017483135223388672,
38
+ 0.013543789863586425,
39
+ 0.013497870445251465,
40
+ 0.01320298957824707,
41
+ 0.013553388595581055,
42
+ 0.013180910110473633,
43
+ 0.013606669425964356,
44
+ 0.013218510627746581,
45
+ 0.01348682975769043,
46
+ 0.013120750427246093,
47
+ 0.01348346996307373,
48
+ 0.013184590339660645,
49
+ 0.013474988937377929,
50
+ 0.013209071159362793,
51
+ 0.013491469383239746,
52
+ 0.013140271186828614,
53
+ 0.014282827377319335,
54
+ 0.015104583740234375,
55
+ 0.014904264450073243,
56
+ 0.014950663566589355,
57
+ 0.014744424819946289,
58
+ 0.015012582778930665,
59
+ 0.01476442527770996,
60
+ 0.014973063468933106,
61
+ 0.014768745422363281,
62
+ 0.01499210262298584,
63
+ 0.014650665283203124,
64
+ 0.014887784004211426,
65
+ 0.014720265388488769,
66
+ 0.014942503929138184,
67
+ 0.014685704231262206,
68
+ 0.014897064208984375,
69
+ 0.0147033052444458,
70
+ 0.014907943725585937,
71
+ 0.014725384712219238,
72
+ 0.01496506404876709,
73
+ 0.014745545387268067,
74
+ 0.014935144424438477,
75
+ 0.014771144866943359,
76
+ 0.01372474765777588,
77
+ 0.013304269790649415,
78
+ 0.013626508712768555,
79
+ 0.014261385917663575,
80
+ 0.01501594352722168,
81
+ 0.014309386253356933,
82
+ 0.014466506004333496,
83
+ 0.014193865776062011,
84
+ 0.014164907455444336,
85
+ 0.013646029472351074,
86
+ 0.013434829711914063,
87
+ 0.013601868629455567,
88
+ 0.013538028717041016,
89
+ 0.013358830451965332,
90
+ 0.013836427688598633,
91
+ 0.013449708938598632,
92
+ 0.013497867584228516
 
 
 
 
 
 
 
 
 
93
  ]
94
  },
95
  "throughput": {
96
  "unit": "samples/s",
97
+ "value": 70.3110381113785
98
  },
99
  "energy": null,
100
  "efficiency": null