IlyasMoutawwakil HF staff commited on
Commit
c2c2a98
·
verified ·
1 Parent(s): eb9a556

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
@@ -2,97 +2,103 @@
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 1027.465216,
6
- "max_global_vram": 2103.226368,
7
- "max_process_vram": 291430.936576,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 745.087488
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 69,
14
- "total": 1.0101881189346313,
15
- "mean": 0.014640407520791758,
16
- "stdev": 0.0009374238775235011,
17
- "p50": 0.014683062553405762,
18
- "p90": 0.015416887855529785,
19
- "p95": 0.015695800018310547,
20
- "p99": 0.01765495903015136,
21
  "values": [
22
- 0.017072187423706055,
23
- 0.015408023834228516,
24
- 0.015489463806152343,
25
- 0.015604984283447266,
26
- 0.015452343940734864,
27
- 0.015156824111938477,
28
- 0.015074262619018555,
29
- 0.014924023628234863,
30
- 0.013563860893249511,
31
- 0.013737140655517578,
32
- 0.013975062370300294,
33
- 0.013626100540161133,
34
- 0.014255381584167481,
35
- 0.014076662063598634,
36
- 0.01727474784851074,
37
- 0.015300824165344238,
38
- 0.014813623428344726,
39
- 0.014596982955932617,
40
- 0.014961142539978028,
41
- 0.014583223342895508,
42
- 0.014861462593078613,
43
- 0.014814422607421876,
44
- 0.015114583969116212,
45
- 0.014826263427734375,
46
- 0.015118742942810058,
47
- 0.01462578296661377,
48
- 0.015076184272766113,
49
- 0.014577781677246094,
50
- 0.014900982856750488,
51
- 0.014630742073059082,
52
- 0.014683062553405762,
53
- 0.014640982627868653,
54
- 0.015216343879699707,
55
- 0.015172183036804199,
56
- 0.015756343841552733,
57
- 0.015070742607116699,
58
- 0.015113142967224122,
59
- 0.014711382865905762,
60
- 0.015086743354797363,
61
- 0.0146320219039917,
62
- 0.01493474292755127,
63
- 0.014711381912231446,
64
- 0.015145624160766601,
65
- 0.014710423469543456,
66
- 0.018462907791137694,
67
- 0.01518466281890869,
68
- 0.01456626319885254,
69
- 0.015051862716674805,
70
- 0.014576022148132323,
71
- 0.013989301681518554,
72
- 0.013672821044921875,
73
- 0.013999702453613282,
74
- 0.013830422401428222,
75
- 0.013704340934753418,
76
- 0.0132110595703125,
77
- 0.014469141960144044,
78
- 0.015062262535095215,
79
- 0.014594581604003906,
80
- 0.01386290168762207,
81
- 0.0138176212310791,
82
- 0.013885942459106446,
83
- 0.014242741584777832,
84
- 0.013578420639038085,
85
- 0.013162100791931152,
86
- 0.01291329860687256,
87
- 0.013105939865112305,
88
- 0.013064661026000977,
89
- 0.013405619621276855,
90
- 0.013694581031799316
 
 
 
 
 
 
91
  ]
92
  },
93
  "throughput": {
94
  "unit": "samples/s",
95
- "value": 68.30410960759374
96
  },
97
  "energy": null,
98
  "efficiency": null
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1027.346432,
6
+ "max_global_vram": 3104.018432,
7
+ "max_process_vram": 271740.768256,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 745.087488
10
  },
11
  "latency": {
12
  "unit": "s",
13
+ "count": 75,
14
+ "total": 0.9974413452148434,
15
+ "mean": 0.013299217936197916,
16
+ "stdev": 0.000568152500821051,
17
+ "p50": 0.01317185878753662,
18
+ "p90": 0.013781813049316407,
19
+ "p95": 0.014171349811553954,
20
+ "p99": 0.015809175891876224,
21
  "values": [
22
+ 0.0160128231048584,
23
+ 0.013817781448364258,
24
+ 0.013867541313171387,
25
+ 0.014121622085571288,
26
+ 0.013590740203857423,
27
+ 0.013413140296936035,
28
+ 0.013099059104919434,
29
+ 0.013173139572143555,
30
+ 0.01295442008972168,
31
+ 0.013023059844970703,
32
+ 0.013076019287109376,
33
+ 0.013309301376342774,
34
+ 0.013221460342407227,
35
+ 0.013212499618530273,
36
+ 0.013261139869689942,
37
+ 0.013520819664001465,
38
+ 0.013419380187988281,
39
+ 0.013266579627990722,
40
+ 0.013188019752502441,
41
+ 0.013269140243530273,
42
+ 0.013052338600158692,
43
+ 0.015737624168395997,
44
+ 0.013293780326843262,
45
+ 0.013314580917358399,
46
+ 0.012887059211730957,
47
+ 0.013128179550170899,
48
+ 0.012768499374389649,
49
+ 0.013701781272888184,
50
+ 0.013291060447692871,
51
+ 0.013106419563293456,
52
+ 0.012788819313049317,
53
+ 0.012817460060119629,
54
+ 0.013074099540710449,
55
+ 0.012824978828430176,
56
+ 0.012764820098876953,
57
+ 0.013488499641418458,
58
+ 0.012789138793945313,
59
+ 0.012869460105895996,
60
+ 0.013263219833374024,
61
+ 0.013041939735412598,
62
+ 0.012827058792114258,
63
+ 0.013353779792785644,
64
+ 0.012857139587402344,
65
+ 0.013085140228271484,
66
+ 0.01317185878753662,
67
+ 0.013023538589477539,
68
+ 0.013239700317382813,
69
+ 0.013226900100708008,
70
+ 0.012849300384521485,
71
+ 0.013059220314025878,
72
+ 0.013587380409240723,
73
+ 0.012892339706420898,
74
+ 0.01291585922241211,
75
+ 0.013300020217895508,
76
+ 0.012943699836730957,
77
+ 0.013111700057983398,
78
+ 0.013112979888916016,
79
+ 0.014287381172180176,
80
+ 0.014781622886657715,
81
+ 0.0139837007522583,
82
+ 0.013664340019226074,
83
+ 0.013727860450744629,
84
+ 0.013624180793762207,
85
+ 0.013645140647888184,
86
+ 0.01303217887878418,
87
+ 0.012878740310668945,
88
+ 0.012804979324340821,
89
+ 0.013015859603881836,
90
+ 0.013371700286865235,
91
+ 0.01300625991821289,
92
+ 0.012907697677612304,
93
+ 0.01296642017364502,
94
+ 0.013452500343322753,
95
+ 0.013006099700927734,
96
+ 0.012905619621276855
97
  ]
98
  },
99
  "throughput": {
100
  "unit": "samples/s",
101
+ "value": 75.19239137199129
102
  },
103
  "energy": null,
104
  "efficiency": null