Hugging Face's logo

Datasets:
optimum-benchmark
/
rocm

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
f12c25d
·
verified ·
1 Parent(s): daf8290

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 +78 -85
cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json CHANGED
@@ -2,101 +2,94 @@
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 1027.989504,
6
- "max_global_vram": 1122.861056,
7
- "max_process_vram": 230388.92032,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 745.087488
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 73,
14
- "total": 0.9966716995239261,
15
- "mean": 0.013653036979779805,
16
- "stdev": 0.0007702390262521916,
17
- "p50": 0.013402519226074218,
18
- "p90": 0.014918194389343262,
19
- "p95": 0.015222482681274413,
20
- "p99": 0.015808906173706058,
21
  "values": [
22
- 0.014950034141540527,
23
- 0.015393074035644532,
24
- 0.015108755111694336,
25
- 0.01544011402130127,
26
- 0.015420754432678223,
27
- 0.015090675354003906,
28
- 0.014664435386657714,
29
- 0.014511795997619628,
30
- 0.0147908353805542,
31
- 0.014112756729125977,
32
- 0.013835798263549805,
33
- 0.013993396759033203,
34
- 0.013881558418273926,
35
- 0.013745718002319336,
36
- 0.013756598472595215,
37
- 0.01369451904296875,
38
- 0.01379611873626709,
39
- 0.013701719284057617,
40
- 0.014248757362365723,
41
- 0.013920277595520019,
42
- 0.01675722885131836,
43
- 0.013791478157043457,
44
- 0.013402519226074218,
45
- 0.01305403995513916,
46
- 0.013264439582824706,
47
- 0.01302828025817871,
48
- 0.013303799629211426,
49
- 0.013056920051574708,
50
- 0.013544919013977051,
51
- 0.01325771999359131,
52
- 0.013041879653930664,
53
- 0.013009401321411132,
54
- 0.013227479934692383,
55
- 0.013080439567565917,
56
- 0.013026680946350098,
57
- 0.013414519309997559,
58
- 0.012973560333251952,
59
- 0.012987160682678222,
60
- 0.013378838539123535,
61
- 0.012998041152954101,
62
- 0.013001720428466796,
63
- 0.013438678741455079,
64
- 0.013034681320190429,
65
- 0.012991800308227539,
66
- 0.013433399200439454,
67
- 0.013047321319580078,
68
- 0.01303339958190918,
69
- 0.0134679594039917,
70
- 0.013059639930725097,
71
- 0.013094520568847657,
72
- 0.01497531509399414,
73
- 0.014659475326538086,
74
- 0.013746519088745118,
75
- 0.014140756607055664,
76
- 0.013616598129272461,
77
- 0.013218199729919434,
78
- 0.013154199600219726,
79
- 0.013076760292053223,
80
- 0.013583958625793457,
81
- 0.01316331958770752,
82
- 0.013132280349731445,
83
- 0.013074040412902832,
84
- 0.013099800109863282,
85
- 0.013638198852539063,
86
- 0.013154840469360352,
87
- 0.013215640068054198,
88
- 0.013049880027770995,
89
- 0.013165399551391602,
90
- 0.013699638366699218,
91
- 0.013069721221923828,
92
- 0.013079639434814452,
93
- 0.013107480049133301,
94
- 0.013589879035949708
95
  ]
96
  },
97
  "throughput": {
98
  "unit": "samples/s",
99
- "value": 73.24377729885325
100
  },
101
  "energy": null,
102
  "efficiency": null
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1028.333568,
6
+ "max_global_vram": 1122.873344,
7
+ "max_process_vram": 270759.583744,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 745.087488
10
  },
11
  "latency": {
12
  "unit": "s",
13
+ "count": 66,
14
+ "total": 0.9988252477645873,
15
+ "mean": 0.01513371587522102,
16
+ "stdev": 0.0003932702761218817,
17
+ "p50": 0.015008084774017334,
18
+ "p90": 0.015562244415283203,
19
+ "p95": 0.015780924320220945,
20
+ "p99": 0.01641700458526611,
21
  "values": [
22
+ 0.014846725463867188,
23
+ 0.0155875244140625,
24
+ 0.015965444564819336,
25
+ 0.015979364395141603,
26
+ 0.01579200458526611,
27
+ 0.01565344524383545,
28
+ 0.015533284187316894,
29
+ 0.015536964416503906,
30
+ 0.015316325187683106,
31
+ 0.015222563743591308,
32
+ 0.01526048469543457,
33
+ 0.015282243728637694,
34
+ 0.015494885444641114,
35
+ 0.01574768352508545,
36
+ 0.017229764938354493,
37
+ 0.015372804641723633,
38
+ 0.015077123641967774,
39
+ 0.014921443939208984,
40
+ 0.015158084869384766,
41
+ 0.014903364181518554,
42
+ 0.015272804260253906,
43
+ 0.01495744514465332,
44
+ 0.015105764389038085,
45
+ 0.014981444358825684,
46
+ 0.01523968505859375,
47
+ 0.014901124000549316,
48
+ 0.014877444267272949,
49
+ 0.015034725189208984,
50
+ 0.014815203666687012,
51
+ 0.01490864372253418,
52
+ 0.014813604354858399,
53
+ 0.01482816505432129,
54
+ 0.014804003715515136,
55
+ 0.015092803955078124,
56
+ 0.014855204582214355,
57
+ 0.014861924171447754,
58
+ 0.01518752384185791,
59
+ 0.014791045188903808,
60
+ 0.014823524475097657,
61
+ 0.015118884086608888,
62
+ 0.014752643585205078,
63
+ 0.014823844909667969,
64
+ 0.015114724159240723,
65
+ 0.014882244110107423,
66
+ 0.014830565452575684,
67
+ 0.015105283737182618,
68
+ 0.01492064380645752,
69
+ 0.014894084930419922,
70
+ 0.015140963554382323,
71
+ 0.01476656436920166,
72
+ 0.014861764907836915,
73
+ 0.015202083587646485,
74
+ 0.014875523567199707,
75
+ 0.014887365341186523,
76
+ 0.015140804290771484,
77
+ 0.014886083602905274,
78
+ 0.01493424415588379,
79
+ 0.015206725120544433,
80
+ 0.01494080352783203,
81
+ 0.01490752410888672,
82
+ 0.014895045280456543,
83
+ 0.014903683662414551,
84
+ 0.015313604354858398,
85
+ 0.015440964698791504,
86
+ 0.014958084106445313,
87
+ 0.015086883544921876
 
 
 
 
 
 
 
88
  ]
89
  },
90
  "throughput": {
91
  "unit": "samples/s",
92
+ "value": 66.0776248374886
93
  },
94
  "energy": null,
95
  "efficiency": null