pytorch

1
dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio
2
cuda,BERT_pytorch,16,2.6028,22.2879,41.0046,1.1965
3
cuda,Background_Matting,4,1.1296,112.7632,27.8916,1.0396
4
cuda,LearningToPaint,96,1.0951,11.3205,13.0241,0.9960
5
cuda,Super_SloMo,6,1.2160,65.3294,27.1633,1.2396
6
cuda,alexnet,128,1.1919,8.2399,6.5561,1.0008
7
cuda,attention_is_all_you_need_pytorch,256,1.4975,36.6682,43.0610,1.1824
8
cuda,dcgan,32,0.9276,2.2476,5.7151,1.0064
9
cuda,demucs,4,1.0313,51.7716,12.8195,0.9971
10
cuda,densenet121,4,1.1976,46.0111,64.0118,0.9945
11
cuda,dlrm,1024,1.3421,3.2177,4.9493,1.0009
12
cuda,drq,1,1.0820,3.8157,8.0732,0.9687
13
cuda,fastNLP_Bert,6,1.4839,37.9050,32.7583,1.1563
14
cuda,functorch_dp_cifar10,64,1.5014,6.9596,14.1516,0.4432
15
cuda,hf_Albert,8,2.2452,30.6134,25.9036,1.3098
16
cuda,hf_Bart,4,1.7012,34.3999,37.9975,1.0128
17
cuda,hf_Bert,4,1.9003,23.3435,34.8196,1.0273
18
cuda,hf_Bert_large,4,1.6346,52.8525,62.3112,1.0726
19
cuda,hf_BigBird,2,1.9208,105.2672,101.4787,1.1415
20
cuda,hf_DistilBert,8,1.3988,22.5793,20.2386,1.0232
21
cuda,hf_GPT2,4,1.8075,27.5184,25.3428,1.1562
22
cuda,hf_GPT2_large,4,1.7716,118.7404,68.1618,1.1725
23
cuda,hf_Reformer,4,1.1744,70.4228,15.1152,0.9266
24
cuda,hf_T5,8,1.8778,93.3134,37.0046,1.2279
25
cuda,hf_T5_large,2,2.3623,101.5518,143.7982,1.1674
26
cuda,lennard_jones,1000,1.0649,1.5233,4.1119,0.9998
27
cuda,mnasnet1_0,32,1.1957,19.1993,27.2302,0.7758
28
cuda,mobilenet_v2,96,1.4876,32.3311,27.4719,1.1729
29
cuda,mobilenet_v3_large,32,1.3051,21.0818,55.7101,0.7771
30
cuda,nvidia_deeprecommender,256,1.0182,10.0515,5.1433,0.9711
31
cuda,phlippe_densenet,128,1.1230,21.9244,26.8021,1.0062
32
cuda,phlippe_resnet,128,1.0857,8.8702,11.5935,1.0037
33
cuda,pytorch_CycleGAN_and_pix2pix,1,1.8336,7.4113,13.1523,1.0224
34
cuda,pytorch_stargan,16,1.2906,11.6881,45.2834,0.8874
35
cuda,pytorch_struct,200,1.2499,3.9393,18.4688,0.7357
36
cuda,pytorch_unet,1,1.3525,29.6253,14.6794,1.0087
37
cuda,resnet152,32,1.0883,60.3646,65.7002,0.9385
38
cuda,resnet18,16,0.9888,10.3945,15.6529,0.6190
39
cuda,resnet50,32,1.1437,23.2979,27.0392,0.8824
40
cuda,resnext50_32x4d,8,1.0935,19.0480,27.1950,0.7721
41
cuda,shufflenet_v2_x1_0,128,1.3027,25.7017,27.9875,1.1015
42
cuda,soft_actor_critic,256,0.9965,2.2580,4.6661,0.9995
43
cuda,speech_transformer,32,1.8405,35.1645,33.3422,1.0888
44
cuda,squeezenet1_1,32,1.4191,7.3454,9.4751,1.1148
45
cuda,timm_efficientdet,1,1.6630,78.2697,150.9620,0.9904
46
cuda,timm_efficientnet,32,1.2689,28.5348,66.3911,0.9428
47
cuda,timm_nfnet,128,1.5319,79.5429,32.9961,1.1070
48
cuda,timm_regnet,32,1.0564,56.9897,53.0027,0.9500
49
cuda,timm_resnest,32,1.6485,14.3908,56.7240,0.9515
50
cuda,timm_vision_transformer,8,1.6100,18.7736,36.9495,0.7301
51
cuda,timm_vision_transformer_large,8,1.0842,170.9849,72.0604,0.9762
52
cuda,timm_vovnet,32,1.0472,25.4676,24.8428,0.8843
53
cuda,tts_angular,64,1.0366,6.9889,4.2683,0.9973
54
cuda,vgg16,64,1.2560,52.7072,7.3733,0.9884
55
cuda,yolov3,16,1.2600,54.2350,42.4711,1.0108
56