IlyasMoutawwakil's picture
Upload cuda_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
c41eeab verified
raw
history blame
12.1 kB
{
"config": {
"name": "cuda_inference_timm_image-classification_timm/resnet50.a1_in1k",
"backend": {
"name": "pytorch",
"version": "2.4.1+cu124",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "image-classification",
"library": "timm",
"model_type": "resnet50",
"model": "timm/resnet50.a1_in1k",
"processor": "timm/resnet50.a1_in1k",
"device": "cuda",
"device_ids": "0",
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"no_weights": false,
"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": true,
"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 7R32",
"cpu_count": 16,
"cpu_ram_mb": 66697.261056,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"NVIDIA A10G"
],
"gpu_count": 1,
"gpu_vram_mb": 24146608128,
"optimum_benchmark_version": "0.5.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.34.2",
"accelerate_commit": null,
"diffusers_version": "0.30.3",
"diffusers_commit": null,
"optimum_version": "1.22.0",
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": "0.13.0",
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 870.21568,
"max_global_vram": 718.798848,
"max_process_vram": 0.0,
"max_reserved": 125.82912,
"max_allocated": 103.077376
},
"latency": {
"unit": "s",
"values": [
8.2928212890625
],
"count": 1,
"total": 8.2928212890625,
"mean": 8.2928212890625,
"p50": 8.2928212890625,
"p90": 8.2928212890625,
"p95": 8.2928212890625,
"p99": 8.2928212890625,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 4.322820598079286e-06,
"ram": 2.328809962778435e-06,
"gpu": 6.394449559854465e-06,
"total": 1.3046080120712187e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1109.766144,
"max_global_vram": 798.490624,
"max_process_vram": 0.0,
"max_reserved": 148.897792,
"max_allocated": 122.937344
},
"latency": {
"unit": "s",
"values": [
0.007419904232025146,
0.007250944137573242,
0.007222271919250488,
0.006998015880584717,
0.007001088142395019,
0.007053311824798584,
0.007019519805908203,
0.006933504104614257,
0.007006207942962647,
0.007129119873046875,
0.007153664112091064,
0.007057407855987549,
0.007285759925842285,
0.007502848148345947,
0.0073340158462524415,
0.0073994240760803225,
0.007325632095336914,
0.007354368209838867,
0.007230463981628418,
0.00729702377319336,
0.007357439994812012,
0.007370751857757568,
0.007308288097381592,
0.007147520065307617,
0.007085055828094483,
0.007064671993255616,
0.006961152076721191,
0.007064576148986816,
0.007095295906066895,
0.007067647933959961,
0.0072540159225463864,
0.007088128089904785,
0.007326720237731933,
0.006992767810821534,
0.0069797120094299316,
0.007053311824798584,
0.007074816226959229,
0.007066624164581299,
0.007061503887176514,
0.007255040168762207,
0.007209887981414795,
0.007126016139984131,
0.007124991893768311,
0.007095295906066895,
0.0071792640686035155,
0.0071188478469848635,
0.007120895862579346,
0.007128064155578613,
0.0069621758460998535,
0.007017504215240478,
0.007112703800201416,
0.006967296123504638,
0.0069725441932678225,
0.007102464199066162,
0.007009280204772949,
0.007230463981628418,
0.007216063976287842,
0.00687113618850708,
0.006971392154693603,
0.006859776020050049,
0.0068915200233459475,
0.007020544052124023,
0.00709119987487793,
0.007136256217956543,
0.007103487968444824,
0.007178143978118896,
0.0072499198913574215,
0.006987775802612305,
0.006944767951965332,
0.006961152076721191,
0.0069755840301513675,
0.0069816322326660156,
0.006976511955261231,
0.006884352207183838,
0.006922207832336426,
0.006988800048828125,
0.006958079814910889,
0.006773759841918945,
0.0068577280044555666,
0.00692307186126709,
0.006864895820617676,
0.006897664070129395,
0.006862847805023193,
0.0068392958641052244,
0.0068280320167541505,
0.006709248065948486,
0.006647808074951172,
0.006540287971496582,
0.00658022403717041,
0.006625311851501465,
0.0066078720092773435,
0.006673471927642822,
0.006626304149627686,
0.006571167945861816,
0.006576128005981445,
0.006612991809844971,
0.006557695865631104,
0.006846464157104492,
0.006819839954376221,
0.006806464195251465,
0.006952960014343262,
0.006950975894927979,
0.0069027838706970214,
0.006853631973266602,
0.006951935768127441,
0.006941696166992187,
0.006899712085723877,
0.006865920066833496,
0.006859776020050049,
0.006838304042816162,
0.006918144226074219,
0.006895616054534912,
0.006719615936279297,
0.006661056041717529,
0.006924287796020508,
0.006929376125335693,
0.006811647891998291,
0.006760447978973389,
0.006931456089019775,
0.0068249602317810056,
0.006917088031768799,
0.0068351998329162595,
0.0067348480224609375,
0.006713247776031494,
0.0066304001808166506,
0.006663167953491211,
0.006788095951080322,
0.006481823921203614,
0.006529056072235108,
0.006556672096252441,
0.006657023906707763,
0.006699007987976074,
0.0066713600158691405,
0.006666304111480713,
0.006650879859924317,
0.006628352165222168,
0.006627327919006347,
0.006666240215301514,
0.006646783828735352,
0.00657919979095459,
0.006624447822570801,
0.0066344962120056155,
0.006586527824401856,
0.006627327919006347
],
"count": 144,
"total": 0.9991552958488464,
"mean": 0.006938578443394766,
"p50": 0.00695145583152771,
"p90": 0.007250636863708496,
"p95": 0.00732655701637268,
"p99": 0.007411097764968872,
"stdev": 0.00022857172167355195,
"stdev_": 3.2942154295472816
},
"throughput": {
"unit": "samples/s",
"value": 144.12174023224566
},
"energy": {
"unit": "kWh",
"cpu": 8.421921371118916e-08,
"ram": 4.601827533304943e-08,
"gpu": 1.7131219378614187e-07,
"total": 3.0154968283038045e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3316203.123193112
}
}
}
}