IlyasMoutawwakil's picture
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
65ca14d verified
raw
history blame
12.4 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 7643 48-Core Processor",
"cpu_count": 96,
"cpu_ram_mb": 1082028.982272,
"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": "0.4.0",
"optimum_benchmark_commit": "d662120356cf9cce87fb802aea1c49ce74710c29",
"transformers_version": "4.43.3",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.29.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.8",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 898.371584,
"max_global_vram": 689.364992,
"max_process_vram": 48399.949824,
"max_reserved": 400.556032,
"max_allocated": 346.271744
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.31208837890625,
"mean": 7.31208837890625,
"stdev": 0.0,
"p50": 7.31208837890625,
"p90": 7.31208837890625,
"p95": 7.31208837890625,
"p99": 7.31208837890625,
"values": [
7.31208837890625
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1068.752896,
"max_global_vram": 777.674752,
"max_process_vram": 163463.491584,
"max_reserved": 406.847488,
"max_allocated": 355.303424
},
"latency": {
"unit": "s",
"count": 162,
"total": 0.9960953397750854,
"mean": 0.006148736665278306,
"stdev": 7.735197575162339e-05,
"p50": 0.00613274359703064,
"p90": 0.0062561358451843265,
"p95": 0.006294728016853332,
"p99": 0.00638388394355774,
"values": [
0.006294424057006836,
0.006199063777923584,
0.006256343841552735,
0.006210423946380615,
0.006125144004821777,
0.006165623188018799,
0.006109943866729736,
0.0061173028945922855,
0.006092982769012451,
0.006122903823852539,
0.006163702964782715,
0.006156982898712159,
0.0060657839775085445,
0.006071063041687011,
0.006028663158416748,
0.0060725040435791015,
0.006120502948760986,
0.006098583221435547,
0.006063703060150146,
0.006041143894195557,
0.006094422817230225,
0.006053944110870361,
0.006106903076171875,
0.006106904029846191,
0.006091702938079834,
0.006068664073944092,
0.006132503032684326,
0.006098423957824707,
0.0061021032333374026,
0.006091222763061523,
0.006127223968505859,
0.006104342937469483,
0.006086743831634521,
0.006146742820739746,
0.0061168231964111325,
0.006110104084014892,
0.006072503089904785,
0.006130743980407715,
0.006097622871398926,
0.006085783958435059,
0.005982101917266846,
0.006107223033905029,
0.006116504192352295,
0.006107062816619873,
0.006113624095916748,
0.006108663082122803,
0.006123542785644531,
0.006125783920288086,
0.006127383232116699,
0.006117144107818604,
0.006132984161376953,
0.006076182842254639,
0.0061318640708923336,
0.006096182823181152,
0.006105944156646729,
0.006128824234008789,
0.006214104175567627,
0.00615298318862915,
0.006152344226837158,
0.006094103813171387,
0.006092503070831299,
0.006075704097747802,
0.006083063125610352,
0.006147543907165528,
0.006224664211273193,
0.006303224086761474,
0.006254263877868652,
0.006234263896942139,
0.0062243428230285645,
0.00619394302368164,
0.006245304107666016,
0.006251383781433106,
0.0061625828742980955,
0.006172183036804199,
0.006160823822021484,
0.006160823822021484,
0.006384664058685303,
0.006172983169555664,
0.0061825838088989254,
0.006217144012451172,
0.006181144237518311,
0.006164663791656494,
0.006175064086914063,
0.006170903205871582,
0.006095862865447998,
0.006127384185791016,
0.00606898307800293,
0.006080023765563965,
0.006123542785644531,
0.006130263805389404,
0.00610178279876709,
0.006048983097076416,
0.006108663082122803,
0.006081143856048584,
0.006118422985076905,
0.006180822849273682,
0.006267704010009765,
0.006293623924255371,
0.006265143871307373,
0.006310904026031494,
0.006276824951171875,
0.00629474401473999,
0.006244664192199707,
0.006312024116516113,
0.006225143909454346,
0.00630898380279541,
0.0063053050041198735,
0.006291863918304444,
0.006285783767700196,
0.00623410415649414,
0.006238584041595459,
0.006187222957611084,
0.0062053041458129884,
0.006207543849945069,
0.0061917037963867185,
0.006221623897552491,
0.006225944042205811,
0.006202744007110596,
0.006383385181427002,
0.006166264057159424,
0.006218103885650634,
0.006158583164215088,
0.006247064113616943,
0.006387383937835694,
0.006159224033355713,
0.006141784191131591,
0.006140023231506348,
0.006161623954772949,
0.006151703834533692,
0.006144343852996826,
0.0061393828392028804,
0.006173943996429444,
0.006161464214324951,
0.006165463924407959,
0.006154902935028076,
0.006189942836761475,
0.006158102989196777,
0.00613762378692627,
0.006146743774414063,
0.0061339430809020995,
0.006160183906555176,
0.00616434383392334,
0.0061555438041687015,
0.006084022998809814,
0.00605890417098999,
0.006062582969665527,
0.006041782855987549,
0.006061304092407227,
0.006058423042297363,
0.006018423080444336,
0.006045623779296875,
0.006044342994689942,
0.006059702873229981,
0.006104981899261475,
0.00603842306137085,
0.006101143836975098,
0.006061142921447754,
0.006095384120941162,
0.00606466293334961,
0.006053944110870361,
0.006037143230438233,
0.006086422920227051
]
},
"throughput": {
"unit": "samples/s",
"value": 162.63503455058728
},
"energy": null,
"efficiency": null
}
}
}