IlyasMoutawwakil's picture
Upload cuda_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
1c25e10 verified
raw
history blame
11.8 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": "0.4.0",
"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": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": "0.12.0",
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 867.155968,
"max_global_vram": 695.730176,
"max_process_vram": 0.0,
"max_reserved": 123.731968,
"max_allocated": 102.475264
},
"latency": {
"unit": "s",
"count": 1,
"total": 8.30282421875,
"mean": 8.30282421875,
"stdev": 0.0,
"p50": 8.30282421875,
"p90": 8.30282421875,
"p95": 8.30282421875,
"p99": 8.30282421875,
"values": [
8.30282421875
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 5.758809322915997e-06,
"ram": 3.1354210617788427e-06,
"gpu": 7.74222841600121e-06,
"total": 1.6636458800696048e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1106.673664,
"max_global_vram": 798.490624,
"max_process_vram": 0.0,
"max_reserved": 148.897792,
"max_allocated": 114.685952
},
"latency": {
"unit": "s",
"count": 139,
"total": 0.9992488937377931,
"mean": 0.0071888409621423946,
"stdev": 0.00018605967579537404,
"p50": 0.007102464199066162,
"p90": 0.0074944510459899905,
"p95": 0.007542067193984986,
"p99": 0.007586917037963867,
"values": [
0.007241727828979493,
0.007264256000518799,
0.007243775844573975,
0.007234560012817383,
0.007188479900360107,
0.007241727828979493,
0.007223231792449951,
0.007176127910614014,
0.007105535984039306,
0.00704307222366333,
0.007076863765716553,
0.007078911781311035,
0.007134208202362061,
0.007065599918365479,
0.007109632015228271,
0.0069745278358459475,
0.006957056045532227,
0.006998015880584717,
0.007012351989746094,
0.007067647933959961,
0.0071064958572387696,
0.007096288204193116,
0.007107583999633789,
0.007078911781311035,
0.00710041618347168,
0.007073823928833008,
0.007169023990631103,
0.007058432102203369,
0.00709222412109375,
0.007122943878173828,
0.007105535984039306,
0.007036928176879883,
0.0073471999168395995,
0.007106592178344726,
0.0070891518592834475,
0.007160831928253173,
0.007085055828094483,
0.006987775802612305,
0.006957056045532227,
0.006987775802612305,
0.007016511917114257,
0.006971392154693603,
0.007057407855987549,
0.0070563840866088865,
0.0070594558715820314,
0.007024640083312988,
0.007117824077606201,
0.007151616096496582,
0.007147520065307617,
0.007136256217956543,
0.00714035177230835,
0.007064576148986816,
0.007035903930664063,
0.007068672180175781,
0.007102464199066162,
0.007110655784606934,
0.007432191848754883,
0.00760316801071167,
0.007530432224273681,
0.007460864067077637,
0.007383039951324463,
0.007437312126159668,
0.0074926080703735356,
0.0075038719177246095,
0.007568384170532226,
0.0074106879234313965,
0.00745472002029419,
0.007469056129455566,
0.007459839820861816,
0.007434239864349365,
0.007472127914428711,
0.007450623989105225,
0.007541759967803955,
0.00757862377166748,
0.007548927783966064,
0.007544832229614258,
0.007592000007629394,
0.007493631839752197,
0.00744652795791626,
0.007520256042480469,
0.007426047801971435,
0.007398399829864502,
0.007575551986694336,
0.007407616138458252,
0.007375872135162354,
0.007261184215545655,
0.007279615879058838,
0.007401472091674805,
0.007236608028411865,
0.007085055828094483,
0.007059519767761231,
0.007255040168762207,
0.007394303798675537,
0.007428063869476319,
0.00742195177078247,
0.007497727870941162,
0.007525375843048096,
0.007535615921020508,
0.007138304233551026,
0.007047167778015137,
0.0070594558715820314,
0.007076863765716553,
0.007062528133392334,
0.0070522880554199216,
0.007101439952850342,
0.007107583999633789,
0.007094272136688232,
0.007035903930664063,
0.007066624164581299,
0.007082015991210938,
0.007107583999633789,
0.007046144008636474,
0.00709119987487793,
0.007053311824798584,
0.007065599918365479,
0.007053311824798584,
0.007032832145690918,
0.007064576148986816,
0.007077888011932373,
0.007077888011932373,
0.007019519805908203,
0.007030784130096435,
0.007049215793609619,
0.00709939193725586,
0.007173120021820068,
0.0070266880989074704,
0.007013376235961914,
0.006990848064422607,
0.007012351989746094,
0.006978559970855713,
0.007012351989746094,
0.007038976192474365,
0.00704307222366333,
0.007047167778015137,
0.007030784130096435,
0.007041024208068848,
0.007021567821502686,
0.007020544052124023,
0.007041024208068848
]
},
"throughput": {
"unit": "samples/s",
"value": 139.10448224771736
},
"energy": {
"unit": "kWh",
"cpu": 8.327957440752704e-08,
"ram": 4.551019759932609e-08,
"gpu": 1.6615592158041744e-07,
"total": 2.949456935872706e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3390454.655694483
}
}
}
}