IlyasMoutawwakil's picture
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
2ee4a87 verified
raw
history blame
11.5 kB
{
"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": "3b109cf557e2496fe3c954817385781e6dc5cad1",
"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,
"llama_cpp_version": null,
"llama_cpp_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 898.097152,
"max_global_vram": 689.344512,
"max_process_vram": 50035.273728,
"max_reserved": 400.556032,
"max_allocated": 346.271744
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.67158447265625,
"mean": 7.67158447265625,
"stdev": 0.0,
"p50": 7.67158447265625,
"p90": 7.67158447265625,
"p95": 7.67158447265625,
"p99": 7.67158447265625,
"values": [
7.67158447265625
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1069.084672,
"max_global_vram": 777.678848,
"max_process_vram": 195688.689664,
"max_reserved": 406.847488,
"max_allocated": 355.303424
},
"latency": {
"unit": "s",
"count": 140,
"total": 0.9935675382614136,
"mean": 0.007096910987581525,
"stdev": 0.00031447044168364177,
"p50": 0.0071288466453552244,
"p90": 0.007197246170043945,
"p95": 0.007219645857810974,
"p99": 0.008289147577285756,
"values": [
0.007190526962280274,
0.007123647212982177,
0.0072606058120727535,
0.007284445762634277,
0.0072814059257507325,
0.009420275688171387,
0.007842043876647949,
0.007018366813659668,
0.006991806983947754,
0.007086846828460693,
0.007031167030334472,
0.0070095682144165035,
0.007019008159637451,
0.007058207035064697,
0.007050366878509522,
0.007031806945800781,
0.007057567119598388,
0.007079007148742676,
0.007036928176879883,
0.007026526927947998,
0.007112926959991455,
0.007104607105255127,
0.007085727214813232,
0.007038207054138184,
0.007034526824951172,
0.007073087215423584,
0.007084607124328613,
0.007129406929016114,
0.007117406845092773,
0.007147326946258545,
0.007115646839141846,
0.007146206855773926,
0.007150046825408936,
0.007134847164154053,
0.007142046928405762,
0.007128766059875488,
0.007095487117767334,
0.007116607189178467,
0.007139646053314209,
0.007119007110595703,
0.007044767856597901,
0.007134047031402588,
0.007104126930236816,
0.00715484619140625,
0.00710828685760498,
0.007170687198638916,
0.007149726867675781,
0.007164766788482666,
0.007112767219543457,
0.007156766891479492,
0.007159165859222412,
0.007155487060546875,
0.007091806888580322,
0.007171486854553223,
0.0071039671897888184,
0.007115806102752685,
0.007116766929626464,
0.007057726860046387,
0.007094206809997558,
0.007083326816558838,
0.007100447177886963,
0.007015168190002441,
0.007073727130889893,
0.007116607189178467,
0.007064927101135254,
0.007041566848754883,
0.006352770805358887,
0.006327331066131592,
0.0063729300498962405,
0.006655808925628662,
0.006703649044036865,
0.007161887168884278,
0.0071038069725036625,
0.007101087093353271,
0.0071345272064208985,
0.007165407180786133,
0.008575000762939454,
0.007201887130737304,
0.00717724609375,
0.007199007034301758,
0.00719724702835083,
0.007155965805053711,
0.007128927230834961,
0.007175166130065918,
0.007165407180786133,
0.00706684684753418,
0.0067042880058288574,
0.006665568828582763,
0.006546850204467773,
0.006399170875549316,
0.00664172887802124,
0.0065986900329589844,
0.006362209796905518,
0.00653036880493164,
0.0063378911018371585,
0.006703487873077393,
0.007133727073669434,
0.0071860461235046386,
0.007147326946258545,
0.00716252613067627,
0.007213566780090332,
0.007150527000427246,
0.007165566921234131,
0.007168766975402832,
0.007125086784362793,
0.0071910061836242675,
0.0071633272171020505,
0.0071447668075561525,
0.007145086765289307,
0.007160605907440186,
0.007131647109985351,
0.007192605972290039,
0.00714044713973999,
0.007156445980072022,
0.007186686992645264,
0.007228766918182373,
0.007197246074676513,
0.007219165802001953,
0.007215487003326416,
0.007146206855773926,
0.007202045917510986,
0.00715628719329834,
0.00714508581161499,
0.007156607151031494,
0.007174046039581299,
0.007182847023010254,
0.007173565864562989,
0.007156927108764649,
0.007145407199859619,
0.007163647174835205,
0.007156766891479492,
0.007106846809387207,
0.007114206790924072,
0.007149406909942627,
0.0071564469337463375,
0.007126846790313721,
0.007120606899261475,
0.007100926876068115,
0.007118684768676758,
0.007096286773681641
]
},
"throughput": {
"unit": "samples/s",
"value": 140.90637486504232
},
"energy": null,
"efficiency": null
}
}
}