rocm
/
cuda_inference_transformers_image-classification_google
/vit-base-patch16-224
/benchmark.json

IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
731af71
verified
{ | |
"config": { | |
"name": "cuda_inference_transformers_image-classification_google/vit-base-patch16-224", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.2.2+rocm5.7", | |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
"task": "image-classification", | |
"library": "transformers", | |
"model_type": "vit", | |
"model": "google/vit-base-patch16-224", | |
"processor": "google/vit-base-patch16-224", | |
"device": "cuda", | |
"device_ids": "0", | |
"seed": 42, | |
"inter_op_num_threads": null, | |
"intra_op_num_threads": null, | |
"model_kwargs": {}, | |
"processor_kwargs": {}, | |
"no_weights": true, | |
"device_map": null, | |
"torch_dtype": null, | |
"eval_mode": true, | |
"to_bettertransformer": false, | |
"low_cpu_mem_usage": null, | |
"attn_implementation": null, | |
"cache_implementation": null, | |
"autocast_enabled": false, | |
"autocast_dtype": null, | |
"torch_compile": false, | |
"torch_compile_target": "forward", | |
"torch_compile_config": {}, | |
"quantization_scheme": null, | |
"quantization_config": {}, | |
"deepspeed_inference": false, | |
"deepspeed_inference_config": {}, | |
"peft_type": null, | |
"peft_config": {} | |
}, | |
"scenario": { | |
"name": "inference", | |
"_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario", | |
"iterations": 1, | |
"duration": 1, | |
"warmup_runs": 1, | |
"input_shapes": { | |
"batch_size": 1, | |
"num_choices": 2, | |
"sequence_length": 2 | |
}, | |
"new_tokens": null, | |
"memory": true, | |
"latency": true, | |
"energy": false, | |
"forward_kwargs": {}, | |
"generate_kwargs": { | |
"max_new_tokens": 2, | |
"min_new_tokens": 2 | |
}, | |
"call_kwargs": { | |
"num_inference_steps": 2 | |
} | |
}, | |
"launcher": { | |
"name": "process", | |
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher", | |
"device_isolation": true, | |
"device_isolation_action": "error", | |
"numactl": false, | |
"numactl_kwargs": {}, | |
"start_method": "spawn" | |
}, | |
"environment": { | |
"cpu": " AMD EPYC 7763 64-Core Processor", | |
"cpu_count": 128, | |
"cpu_ram_mb": 1082015.236096, | |
"system": "Linux", | |
"machine": "x86_64", | |
"platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35", | |
"processor": "x86_64", | |
"python_version": "3.10.12", | |
"gpu": [ | |
"Advanced Micro Devices, Inc. [AMD/ATI]" | |
], | |
"gpu_count": 1, | |
"gpu_vram_mb": 68702699520, | |
"optimum_benchmark_version": "0.3.1", | |
"optimum_benchmark_commit": "802823c7274dfd9b1edbe9a02521fdbafa78149a", | |
"transformers_version": "4.42.4", | |
"transformers_commit": null, | |
"accelerate_version": "0.32.1", | |
"accelerate_commit": null, | |
"diffusers_version": "0.29.2", | |
"diffusers_commit": null, | |
"optimum_version": null, | |
"optimum_commit": null, | |
"timm_version": "1.0.7", | |
"timm_commit": null, | |
"peft_version": null, | |
"peft_commit": null | |
} | |
}, | |
"report": { | |
"load": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 898.031616, | |
"max_global_vram": 2394.853376, | |
"max_process_vram": 42352.590848, | |
"max_reserved": 400.556032, | |
"max_allocated": 346.271744 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 1, | |
"total": 7.0837529296875, | |
"mean": 7.0837529296875, | |
"stdev": 0.0, | |
"p50": 7.0837529296875, | |
"p90": 7.0837529296875, | |
"p95": 7.0837529296875, | |
"p99": 7.0837529296875, | |
"values": [ | |
7.0837529296875 | |
] | |
}, | |
"throughput": null, | |
"energy": null, | |
"efficiency": null | |
}, | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 1068.978176, | |
"max_global_vram": 2483.163136, | |
"max_process_vram": 183563.669504, | |
"max_reserved": 406.847488, | |
"max_allocated": 355.303424 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 154, | |
"total": 0.9966683845520021, | |
"mean": 0.006471872626961052, | |
"stdev": 0.0004483659979799419, | |
"p50": 0.00637843656539917, | |
"p90": 0.0068722891330719, | |
"p95": 0.007202646946907043, | |
"p99": 0.00810027932167053, | |
"values": [ | |
0.0071578707695007324, | |
0.007068750858306885, | |
0.007218350887298584, | |
0.007244270801544189, | |
0.00739946985244751, | |
0.007390830039978027, | |
0.007194190979003906, | |
0.00728203010559082, | |
0.006978833198547364, | |
0.0066805949211120605, | |
0.006374197006225586, | |
0.00634827709197998, | |
0.0063679561614990235, | |
0.006314517021179199, | |
0.006265077114105224, | |
0.006184278011322021, | |
0.006180437088012696, | |
0.006151797771453857, | |
0.006235157012939453, | |
0.006205717086791992, | |
0.006191957950592041, | |
0.006164278030395508, | |
0.006185078144073487, | |
0.0061748380661010745, | |
0.006214036941528321, | |
0.006163318157196045, | |
0.006155636787414551, | |
0.0061631579399108885, | |
0.006213397026062012, | |
0.007075312137603759, | |
0.008740260124206542, | |
0.006094038009643555, | |
0.006083158016204834, | |
0.006067158222198487, | |
0.006104278087615967, | |
0.0060407590866088864, | |
0.006070518016815186, | |
0.00604827880859375, | |
0.0067365942001342775, | |
0.007166350841522217, | |
0.006048597812652588, | |
0.006093398094177246, | |
0.006103157997131348, | |
0.006272117137908936, | |
0.006364275932312011, | |
0.006604915142059326, | |
0.00632811689376831, | |
0.006447155952453613, | |
0.006278676986694336, | |
0.006448596000671387, | |
0.006446996212005615, | |
0.006285397052764893, | |
0.00635883617401123, | |
0.006374835968017578, | |
0.006507636070251465, | |
0.006395796775817871, | |
0.006296116828918457, | |
0.006315156936645507, | |
0.006363316059112549, | |
0.006502834796905518, | |
0.006559794902801514, | |
0.006576435089111328, | |
0.006248277187347412, | |
0.006498674869537354, | |
0.006341876983642578, | |
0.006348116874694824, | |
0.00611723804473877, | |
0.006156436920166016, | |
0.006124917984008789, | |
0.006107478141784668, | |
0.00950185489654541, | |
0.006350515842437744, | |
0.00614395809173584, | |
0.006069077968597412, | |
0.006100917816162109, | |
0.006096278190612793, | |
0.0075327491760253905, | |
0.006688115119934082, | |
0.006535635948181152, | |
0.006371157169342041, | |
0.006269876956939697, | |
0.0065317959785461425, | |
0.006735313892364502, | |
0.006347957134246826, | |
0.006608914852142334, | |
0.006615314960479736, | |
0.00647355604171753, | |
0.006820912837982178, | |
0.006872433185577393, | |
0.006871953010559082, | |
0.006822834014892578, | |
0.0065594749450683595, | |
0.006577394962310791, | |
0.0066121149063110354, | |
0.006464595794677734, | |
0.006626035213470459, | |
0.006474034786224365, | |
0.006089559078216553, | |
0.00625915813446045, | |
0.006453715801239014, | |
0.006278037071228027, | |
0.006303796768188477, | |
0.006300917148590088, | |
0.006220277786254883, | |
0.005986999034881592, | |
0.006054518222808838, | |
0.006025558948516846, | |
0.00602219820022583, | |
0.006064918994903565, | |
0.00604219913482666, | |
0.006017239093780518, | |
0.006024438858032227, | |
0.006088277816772461, | |
0.00608939790725708, | |
0.006168598175048828, | |
0.006852912902832031, | |
0.006808272838592529, | |
0.0068002729415893555, | |
0.0066924338340759275, | |
0.0063941960334777835, | |
0.006518515110015869, | |
0.006385715961456298, | |
0.006457396030426025, | |
0.006382195949554443, | |
0.00642987585067749, | |
0.006838993072509765, | |
0.006834833145141601, | |
0.006842352867126465, | |
0.006748913764953613, | |
0.006592915058135986, | |
0.006465714931488037, | |
0.006438035964965821, | |
0.00654795503616333, | |
0.006392436027526855, | |
0.006519155025482178, | |
0.006468915939331054, | |
0.006255318164825439, | |
0.006402836799621582, | |
0.006244277954101563, | |
0.006382037162780762, | |
0.006136437892913818, | |
0.006093719005584717, | |
0.006103158950805664, | |
0.006107799053192139, | |
0.006629555225372314, | |
0.006699954032897949, | |
0.006497075080871582, | |
0.006651313781738282, | |
0.006879152774810791, | |
0.00652507495880127, | |
0.006755474090576172, | |
0.006682993888854981, | |
0.0064125962257385255, | |
0.006622835159301758 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 154.51478384078806 | |
}, | |
"energy": null, | |
"efficiency": null | |
} | |
} | |
} |