IlyasMoutawwakil HF staff commited on
Commit
04bcacd
·
verified ·
1 Parent(s): f5b501a

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
@@ -2,94 +2,103 @@
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 1034.162176,
6
  "max_global_vram": 1122.840576,
7
- "max_process_vram": 314069.344256,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 745.087488
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 66,
14
- "total": 1.0049901885986323,
15
- "mean": 0.015227124069676254,
16
- "stdev": 0.00028688669038481727,
17
- "p50": 0.015142248630523682,
18
- "p90": 0.015520168781280517,
19
- "p95": 0.015675689220428467,
20
- "p99": 0.01610707383155822,
21
  "values": [
22
- 0.016750730514526368,
23
- 0.01570496940612793,
24
- 0.015760489463806152,
25
- 0.015752328872680663,
26
- 0.015495208740234375,
27
- 0.015422088623046875,
28
- 0.015333449363708496,
29
- 0.015303849220275879,
30
- 0.015393288612365722,
31
- 0.015256169319152833,
32
- 0.015220969200134278,
33
- 0.015314409255981445,
34
- 0.015568009376525879,
35
- 0.015467369079589843,
36
- 0.01543760871887207,
37
- 0.015291528701782226,
38
- 0.015587848663330078,
39
- 0.015298249244689942,
40
- 0.01545728874206543,
41
- 0.01514400863647461,
42
- 0.015132649421691895,
43
- 0.014979208946228027,
44
- 0.014968969345092774,
45
- 0.014908328056335449,
46
- 0.014922409057617188,
47
- 0.014978089332580567,
48
- 0.015170088768005371,
49
- 0.015035208702087402,
50
- 0.015242889404296875,
51
- 0.015140488624572753,
52
- 0.015026087760925294,
53
- 0.015108649253845214,
54
- 0.01520512866973877,
55
- 0.015127208709716797,
56
- 0.015344489097595214,
57
- 0.015029129028320312,
58
- 0.015231208801269531,
59
- 0.015074889183044433,
60
- 0.015302409172058105,
61
- 0.015072328567504883,
62
- 0.01494544792175293,
63
- 0.01539712905883789,
64
- 0.01504512882232666,
65
- 0.01504144859313965,
66
- 0.015317608833312988,
67
- 0.015099529266357423,
68
- 0.015066728591918946,
69
- 0.015396489143371581,
70
- 0.015105769157409668,
71
- 0.01510256862640381,
72
- 0.015340329170227051,
73
- 0.015072009086608888,
74
- 0.015044487953186036,
75
- 0.015263528823852538,
76
- 0.014875048637390137,
77
- 0.015004009246826171,
78
- 0.015043848991394044,
79
- 0.015011689186096192,
80
- 0.015431689262390138,
81
- 0.014999688148498535,
82
- 0.014897448539733887,
83
- 0.015030888557434082,
84
- 0.014976009368896485,
85
- 0.01554512882232666,
86
- 0.014996808052062988,
87
- 0.014980009078979492
 
 
 
 
 
 
 
 
 
88
  ]
89
  },
90
  "throughput": {
91
  "unit": "samples/s",
92
- "value": 65.67228292251389
93
  },
94
  "energy": null,
95
  "efficiency": null
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1033.940992,
6
  "max_global_vram": 1122.840576,
7
+ "max_process_vram": 296348.827648,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 745.087488
10
  },
11
  "latency": {
12
  "unit": "s",
13
+ "count": 75,
14
+ "total": 1.0000416383743285,
15
+ "mean": 0.013333888511657713,
16
+ "stdev": 0.0006409323004067068,
17
+ "p50": 0.013276939392089843,
18
+ "p90": 0.014167882156372071,
19
+ "p95": 0.014318889141082763,
20
+ "p99": 0.015252690143585209,
21
  "values": [
22
+ 0.015066697120666503,
23
+ 0.013205578804016113,
24
+ 0.013077739715576173,
25
+ 0.013483658790588379,
26
+ 0.013448458671569824,
27
+ 0.01354413890838623,
28
+ 0.013402379035949707,
29
+ 0.013726058959960938,
30
+ 0.013544459342956543,
31
+ 0.01328190040588379,
32
+ 0.013032938957214356,
33
+ 0.013230540275573731,
34
+ 0.012819660186767579,
35
+ 0.012962379455566407,
36
+ 0.012669100761413574,
37
+ 0.015782054901123048,
38
+ 0.013690698623657226,
39
+ 0.013024458885192871,
40
+ 0.013301739692687988,
41
+ 0.013247658729553222,
42
+ 0.012984939575195312,
43
+ 0.013279499053955078,
44
+ 0.012980460166931152,
45
+ 0.013011819839477539,
46
+ 0.013225899696350098,
47
+ 0.013236139297485352,
48
+ 0.013734699249267578,
49
+ 0.0132804594039917,
50
+ 0.013286378860473633,
51
+ 0.013322059631347655,
52
+ 0.013678857803344727,
53
+ 0.013383499145507812,
54
+ 0.013276939392089843,
55
+ 0.013144619941711426,
56
+ 0.013619178771972657,
57
+ 0.013296778678894044,
58
+ 0.013078060150146485,
59
+ 0.013330538749694825,
60
+ 0.013388938903808593,
61
+ 0.013258378982543945,
62
+ 0.014273737907409668,
63
+ 0.013426698684692383,
64
+ 0.013242058753967285,
65
+ 0.013071499824523925,
66
+ 0.01324989891052246,
67
+ 0.013278539657592774,
68
+ 0.012660619735717773,
69
+ 0.012463339805603027,
70
+ 0.012441261291503906,
71
+ 0.012438700675964356,
72
+ 0.012447179794311524,
73
+ 0.01269517993927002,
74
+ 0.012450540542602539,
75
+ 0.012425420761108398,
76
+ 0.01237197971343994,
77
+ 0.013210060119628907,
78
+ 0.013784777641296387,
79
+ 0.012528301239013672,
80
+ 0.01251550006866455,
81
+ 0.012435980796813965,
82
+ 0.012521739959716796,
83
+ 0.01285614013671875,
84
+ 0.013015979766845704,
85
+ 0.01289437961578369,
86
+ 0.013628619194030762,
87
+ 0.014279336929321288,
88
+ 0.014152618408203125,
89
+ 0.014171977996826172,
90
+ 0.014411177635192871,
91
+ 0.01415949821472168,
92
+ 0.014153898239135742,
93
+ 0.014269576072692872,
94
+ 0.01446509838104248,
95
+ 0.014161738395690918,
96
+ 0.014148138046264648
97
  ]
98
  },
99
  "throughput": {
100
  "unit": "samples/s",
101
+ "value": 74.99687725195152
102
  },
103
  "energy": null,
104
  "efficiency": null