IlyasMoutawwakil HF staff commited on
Commit
c408345
·
verified ·
1 Parent(s): 0a7c3cf

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
@@ -2,105 +2,99 @@
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 1027.362816,
6
- "max_global_vram": 3321.81504,
7
- "max_process_vram": 234327.191552,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 745.087488
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 77,
14
- "total": 0.997211236953735,
15
- "mean": 0.012950795285113444,
16
- "stdev": 0.000530629742357722,
17
- "p50": 0.012761075019836426,
18
- "p90": 0.013527376556396487,
19
- "p95": 0.013993102645874025,
20
- "p99": 0.014655526733398429,
21
  "values": [
22
- 0.012874514579772948,
23
- 0.013040115356445312,
24
- 0.0131141939163208,
25
- 0.013265873908996582,
26
- 0.013139634132385255,
27
- 0.0128770751953125,
28
- 0.01284603500366211,
29
- 0.012850674629211425,
30
- 0.012929715156555176,
31
- 0.012933074951171875,
32
- 0.012874195098876953,
33
- 0.01311019515991211,
34
- 0.013093234062194824,
35
- 0.013200274467468262,
36
- 0.013082514762878418,
37
- 0.015952263832092285,
38
- 0.0139839506149292,
39
- 0.013865550994873048,
40
- 0.013271953582763672,
41
- 0.012960433959960938,
42
- 0.012727955818176269,
43
- 0.012789074897766112,
44
- 0.0126082763671875,
45
- 0.012761075019836426,
46
- 0.012891634941101075,
47
- 0.012727155685424804,
48
- 0.01263083553314209,
49
- 0.012733555793762208,
50
- 0.012553556442260742,
51
- 0.012762035369873047,
52
- 0.012955155372619629,
53
- 0.012905875205993652,
54
- 0.012738514900207519,
55
- 0.01261435604095459,
56
- 0.01275195598602295,
57
- 0.012574516296386718,
58
- 0.012710994720458984,
59
- 0.012586835861206055,
60
- 0.012745875358581543,
61
- 0.012562835693359375,
62
- 0.012743796348571777,
63
- 0.01260843563079834,
64
- 0.012767475128173828,
65
- 0.012603796005249024,
66
- 0.012749395370483398,
67
- 0.012556116104125976,
68
- 0.012706835746765137,
69
- 0.012535956382751465,
70
- 0.01271435546875,
71
- 0.012568916320800781,
72
- 0.013914511680603028,
73
- 0.014129871368408204,
74
- 0.013825072288513183,
75
- 0.014029710769653321,
76
- 0.014246030807495117,
77
- 0.013175953865051269,
78
- 0.013306353569030762,
79
- 0.01274187469482422,
80
- 0.01299179458618164,
81
- 0.012746834754943847,
82
- 0.01273227596282959,
83
- 0.012606514930725097,
84
- 0.012747316360473633,
85
- 0.01266411590576172,
86
- 0.0125469970703125,
87
- 0.013093074798583985,
88
- 0.013328912734985352,
89
- 0.012595155715942382,
90
- 0.012541075706481934,
91
- 0.012549076080322265,
92
- 0.012883475303649902,
93
- 0.012570996284484864,
94
- 0.012581235885620117,
95
- 0.012563316345214844,
96
- 0.012861075401306153,
97
- 0.012529555320739747,
98
- 0.012556435585021973
99
  ]
100
  },
101
  "throughput": {
102
  "unit": "samples/s",
103
- "value": 77.215335273616
104
  },
105
  "energy": null,
106
  "efficiency": null
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1027.01056,
6
+ "max_global_vram": 2103.230464,
7
+ "max_process_vram": 271741.923328,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 745.087488
10
  },
11
  "latency": {
12
  "unit": "s",
13
+ "count": 71,
14
+ "total": 1.0067317752838136,
15
+ "mean": 0.014179320778645263,
16
+ "stdev": 0.00018300380326025583,
17
+ "p50": 0.014146254539489747,
18
+ "p90": 0.014352814674377441,
19
+ "p95": 0.014407295227050781,
20
+ "p99": 0.014751742839813231,
21
  "values": [
22
+ 0.013863215446472168,
23
+ 0.014178894996643066,
24
+ 0.014320175170898437,
25
+ 0.014320175170898437,
26
+ 0.014437935829162597,
27
+ 0.014319535255432128,
28
+ 0.014146254539489747,
29
+ 0.014176975250244141,
30
+ 0.014077774047851562,
31
+ 0.014012174606323242,
32
+ 0.013957614898681641,
33
+ 0.014132655143737793,
34
+ 0.01428465461730957,
35
+ 0.014328495025634765,
36
+ 0.014228014945983887,
37
+ 0.01428193473815918,
38
+ 0.01442641544342041,
39
+ 0.014194093704223632,
40
+ 0.014306095123291016,
41
+ 0.014118734359741212,
42
+ 0.014111373901367187,
43
+ 0.01412353515625,
44
+ 0.01421473503112793,
45
+ 0.014025935173034668,
46
+ 0.014118735313415526,
47
+ 0.014155055046081543,
48
+ 0.014276974678039551,
49
+ 0.014094414710998536,
50
+ 0.014249774932861328,
51
+ 0.014262894630432128,
52
+ 0.01422017478942871,
53
+ 0.014105295181274414,
54
+ 0.014207374572753907,
55
+ 0.014093295097351074,
56
+ 0.01401489543914795,
57
+ 0.01433089542388916,
58
+ 0.014377935409545899,
59
+ 0.014312655448913573,
60
+ 0.014388175010681152,
61
+ 0.01514161491394043,
62
+ 0.014584654808044434,
63
+ 0.014220335006713868,
64
+ 0.013984015464782715,
65
+ 0.01401185417175293,
66
+ 0.014163213729858399,
67
+ 0.013985774993896484,
68
+ 0.01396097469329834,
69
+ 0.014176494598388672,
70
+ 0.014028815269470215,
71
+ 0.013972333908081055,
72
+ 0.014237133979797364,
73
+ 0.013994414329528809,
74
+ 0.013989615440368652,
75
+ 0.013967855453491211,
76
+ 0.01397297477722168,
77
+ 0.014266735076904296,
78
+ 0.014065613746643066,
79
+ 0.01402657413482666,
80
+ 0.014053774833679198,
81
+ 0.014057615280151366,
82
+ 0.014346895217895507,
83
+ 0.014117774963378906,
84
+ 0.014079375267028809,
85
+ 0.01429233455657959,
86
+ 0.014135054588317871,
87
+ 0.014352814674377441,
88
+ 0.01409777545928955,
89
+ 0.014105134963989258,
90
+ 0.014378415107727052,
91
+ 0.014106575012207032,
92
+ 0.014061293601989745
 
 
 
 
 
 
93
  ]
94
  },
95
  "throughput": {
96
  "unit": "samples/s",
97
+ "value": 70.52523993293444
98
  },
99
  "energy": null,
100
  "efficiency": null