@@ -13,111 +13,28 @@ across various devices by running comprehensive GitHub workflows.
1313
1414<!-- Torchbenchmark start -->
1515
16- | | [ torch_npu] [ 1 ] |
17- | ---------------------------------| ----------------|
18- | simple_gpt | ❌ |
19- | detectron2_fasterrcnn_r_50_dc5 | ❌ |
20- | LearningToPaint | ✅ |
21- | hf_GPT2_large | ✅ |
22- | dcgan | ✅ |
23- | nanogpt | ✅ |
24- | fastNLP_Bert | ✅ |
25- | moondream | ❌ |
26- | mobilenet_v2_quantized_qat | ❌ |
27- | functorch_dp_cifar10 | ✅ |
28- | simple_gpt_tp_manual | ❌ |
29- | speech_transformer | ✅ |
30- | yolov3 | ✅ |
31- | resnet50_quantized_qat | ❌ |
32- | sam_fast | ❌ |
33- | alexnet | ✅ |
34- | timm_efficientnet | ✅ |
35- | pyhpc_isoneutral_mixing | ✅ |
36- | basic_gnn_edgecnn | ✅ |
37- | nvidia_deeprecommender | ❌ |
38- | opacus_cifar10 | ✅ |
39- | dlrm | ✅ |
40- | hf_Bert | ✅ |
41- | hf_T5_generate | ✅ |
42- | resnet50 | ✅ |
43- | hf_BigBird | ✅ |
44- | resnext50_32x4d | ✅ |
45- | pyhpc_turbulent_kinetic_energy | ✅ |
46- | llama | ✅ |
47- | detectron2_maskrcnn_r_50_c4 | ❌ |
48- | Super_SloMo | ✅ |
49- | moco | ❌ |
50- | stable_diffusion_unet | ❌ |
51- | microbench_unbacked_tolist_sum | ✅ |
52- | detectron2_maskrcnn_r_101_c4 | ❌ |
53- | hf_distil_whisper | ✅ |
54- | mnasnet1_0 | ✅ |
55- | detectron2_fasterrcnn_r_50_fpn | ❌ |
56- | timm_resnest | ✅ |
57- | hf_GPT2 | ✅ |
58- | squeezenet1_1 | ✅ |
59- | basic_gnn_gin | ✅ |
60- | hf_clip | ✅ |
61- | mobilenet_v2 | ✅ |
62- | drq | ✅ |
63- | hf_Roberta_base | ✅ |
64- | detectron2_maskrcnn_r_50_fpn | ❌ |
65- | timm_nfnet | ✅ |
66- | timm_vovnet | ✅ |
67- | doctr_det_predictor | ✅ |
68- | sam | ✅ |
69- | hf_T5_large | ✅ |
70- | mobilenet_v3_large | ✅ |
71- | detectron2_fcos_r_50_fpn | ❌ |
72- | soft_actor_critic | ✅ |
73- | llava | ❌ |
74- | timm_regnet | ✅ |
75- | functorch_maml_omniglot | ✅ |
76- | detectron2_fasterrcnn_r_101_c4 | ❌ |
77- | hf_DistilBert | ✅ |
78- | tts_angular | ✅ |
79- | detectron2_maskrcnn | ❌ |
80- | basic_gnn_sage | ✅ |
81- | tacotron2 | ❌ |
82- | detectron2_maskrcnn_r_101_fpn | ❌ |
83- | lennard_jones | ✅ |
84- | pytorch_unet | ✅ |
85- | vgg16 | ✅ |
86- | BERT_pytorch | ✅ |
87- | timm_efficientdet | ❌ |
88- | pyhpc_equation_of_state | ✅ |
89- | maml | ✅ |
90- | detectron2_fasterrcnn_r_50_c4 | ❌ |
91- | resnet152 | ✅ |
92- | phlippe_densenet | ✅ |
93- | maml_omniglot | ✅ |
94- | phlippe_resnet | ✅ |
95- | pytorch_CycleGAN_and_pix2pix | ✅ |
96- | hf_Whisper | ✅ |
97- | hf_T5 | ✅ |
98- | densenet121 | ✅ |
99- | cm3leon_generate | ✅ |
100- | detectron2_fasterrcnn_r_101_fpn | ❌ |
101- | hf_Bert_large | ✅ |
102- | stable_diffusion_text_encoder | ❌ |
103- | hf_Reformer | ❌ |
104- | detectron2_fasterrcnn_r_101_dc5 | ❌ |
105- | demucs | ✅ |
106- | pytorch_stargan | ✅ |
107- | hf_T5_base | ✅ |
108- | torch_multimodal_clip | ✅ |
109- | vision_maskrcnn | ❌ |
110- | timm_vision_transformer_large | ✅ |
111- | hf_Bart | ✅ |
112- | shufflenet_v2_x1_0 | ✅ |
113- | llama_v2_7b_16h | ❌ |
114- | basic_gnn_gcn | ✅ |
115- | resnet18 | ✅ |
116- | Background_Matting | ✅ |
117- | doctr_reco_predictor | ✅ |
118- | timm_vision_transformer | ✅ |
119- | hf_Albert | ✅ |
120- | hf_Longformer | ✅ |
16+ | | Ascend NPU | Intel Gaudi |
17+ | ------------------------| ------------| -------------|
18+ | alexnet | ✅ | ✅ |
19+ | BERT_pytorch | ✅ | ✅ |
20+ | dcgan | ✅ | ✅ |
21+ | hf_clip | ✅ | ✅ |
22+ | hf_GPT2 | ✅ | ✅ |
23+ | hf_GPT2_large | ✅ | ✅ |
24+ | hf_Reformer | ⚠️ | ✅ |
25+ | hf_Whisper | ✅ | ✅ |
26+ | llama | ✅ | ✅ |
27+ | llama_v2_7b_16h | ❌ | ❌ |
28+ | llava | ⚠️ | ✅ |
29+ | moondream | ❌ | ❌ |
30+ | nanogpt | ✅ | ✅ |
31+ | nvidia_deeprecommender | ❌ | ❌ |
32+ | opacus_cifar10 | ✅ | ✅ |
33+ | resnet152 | ✅ | ✅ |
34+ | resnet18 | ✅ | ✅ |
35+ | resnet50 | ✅ | ✅ |
36+ | vgg16 | ✅ | ✅ |
37+ | yolov3 | ✅ | ✅ |
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12239[ 1 ] : https://github.com/ascend/pytorch
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