IlyasMoutawwakil
HF staff
Upload cuda_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
c2e9a75
verified
| { | |
| "config": { | |
| "name": "cuda_inference_timm_image-classification_timm/resnet50.a1_in1k", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.2.2", | |
| "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
| "task": "image-classification", | |
| "model": "timm/resnet50.a1_in1k", | |
| "library": "timm", | |
| "device": "cuda", | |
| "device_ids": "0", | |
| "seed": 42, | |
| "inter_op_num_threads": null, | |
| "intra_op_num_threads": null, | |
| "hub_kwargs": { | |
| "revision": "main", | |
| "force_download": false, | |
| "local_files_only": false, | |
| "trust_remote_code": false | |
| }, | |
| "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, | |
| "latency": true, | |
| "memory": 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", | |
| "start_method": "spawn" | |
| }, | |
| "environment": { | |
| "cpu": " AMD EPYC 7R32", | |
| "cpu_count": 16, | |
| "cpu_ram_mb": 66697.29792, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35", | |
| "processor": "x86_64", | |
| "python_version": "3.10.14", | |
| "gpu": [ | |
| "NVIDIA A10G" | |
| ], | |
| "gpu_count": 1, | |
| "gpu_vram_mb": 24146608128, | |
| "optimum_benchmark_version": "0.2.0", | |
| "optimum_benchmark_commit": null, | |
| "transformers_version": "4.40.2", | |
| "transformers_commit": null, | |
| "accelerate_version": "0.30.0", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.27.2", | |
| "diffusers_commit": null, | |
| "optimum_version": null, | |
| "optimum_commit": null, | |
| "timm_version": "0.9.16", | |
| "timm_commit": null, | |
| "peft_version": null, | |
| "peft_commit": null | |
| } | |
| }, | |
| "report": { | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 945.364992, | |
| "max_global_vram": 1047.003136, | |
| "max_process_vram": 0.0, | |
| "max_reserved": 396.361728, | |
| "max_allocated": 253.912576 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 179, | |
| "total": 0.9988475871086119, | |
| "mean": 0.005580154117925206, | |
| "stdev": 0.0003427077686315029, | |
| "p50": 0.005647488117218017, | |
| "p90": 0.005904384136199951, | |
| "p95": 0.006203494405746459, | |
| "p99": 0.006702053899765015, | |
| "values": [ | |
| 0.005993472099304199, | |
| 0.005601280212402344, | |
| 0.00566374397277832, | |
| 0.006199295997619629, | |
| 0.005901343822479248, | |
| 0.005910528182983398, | |
| 0.005904384136199951, | |
| 0.006001664161682129, | |
| 0.006384640216827392, | |
| 0.006339583873748779, | |
| 0.005854207992553711, | |
| 0.005868544101715088, | |
| 0.00576204776763916, | |
| 0.006106112003326416, | |
| 0.005848063945770264, | |
| 0.005822463989257813, | |
| 0.005718016147613526, | |
| 0.005744639873504639, | |
| 0.005727231979370117, | |
| 0.005672959804534912, | |
| 0.005738495826721191, | |
| 0.005840896129608154, | |
| 0.005856256008148194, | |
| 0.005727136135101318, | |
| 0.005904384136199951, | |
| 0.005750783920288086, | |
| 0.005747712135314941, | |
| 0.005700607776641845, | |
| 0.005756927967071533, | |
| 0.005883903980255127, | |
| 0.00669593620300293, | |
| 0.00587059211730957, | |
| 0.005783552169799804, | |
| 0.00576204776763916, | |
| 0.005695487976074219, | |
| 0.005804031848907471, | |
| 0.005686272144317627, | |
| 0.005758975982666016, | |
| 0.005791744232177734, | |
| 0.005767168045043946, | |
| 0.005313536167144775, | |
| 0.005210112094879151, | |
| 0.005239808082580567, | |
| 0.005279744148254394, | |
| 0.005341184139251709, | |
| 0.005450751781463623, | |
| 0.005320703983306885, | |
| 0.005395455837249756, | |
| 0.005493760108947754, | |
| 0.005346303939819336, | |
| 0.005396480083465576, | |
| 0.005883999824523926, | |
| 0.005916672229766846, | |
| 0.005874559879302978, | |
| 0.005801023960113526, | |
| 0.006116288185119629, | |
| 0.006774784088134766, | |
| 0.006723743915557861, | |
| 0.005747712135314941, | |
| 0.0057190399169921875, | |
| 0.005882880210876465, | |
| 0.005689407825469971, | |
| 0.005771103858947754, | |
| 0.0057497601509094234, | |
| 0.005723135948181152, | |
| 0.005763072013854981, | |
| 0.005742591857910156, | |
| 0.005780479907989502, | |
| 0.005686272144317627, | |
| 0.005798912048339844, | |
| 0.005781504154205322, | |
| 0.005794816017150879, | |
| 0.005667840003967285, | |
| 0.0057415680885314945, | |
| 0.005894144058227539, | |
| 0.005787648200988769, | |
| 0.005765120029449463, | |
| 0.005681151866912842, | |
| 0.005725183963775635, | |
| 0.005683199882507324, | |
| 0.005751808166503906, | |
| 0.005765120029449463, | |
| 0.005834752082824707, | |
| 0.005900288105010986, | |
| 0.005820352077484131, | |
| 0.0058091521263122555, | |
| 0.005756927967071533, | |
| 0.0057784318923950195, | |
| 0.005735424041748047, | |
| 0.005742591857910156, | |
| 0.005848063945770264, | |
| 0.005837855815887451, | |
| 0.005726208209991455, | |
| 0.0055920639038085935, | |
| 0.005706751823425293, | |
| 0.005399551868438721, | |
| 0.00559830379486084, | |
| 0.0056154241561889645, | |
| 0.005535744190216065, | |
| 0.005628928184509278, | |
| 0.005279744148254394, | |
| 0.005384191989898681, | |
| 0.00624128007888794, | |
| 0.006322175979614258, | |
| 0.006375423908233643, | |
| 0.006404096126556396, | |
| 0.00589731216430664, | |
| 0.005751808166503906, | |
| 0.005647488117218017, | |
| 0.005536767959594726, | |
| 0.005326848030090332, | |
| 0.005973919868469239, | |
| 0.00535859203338623, | |
| 0.0053534722328186036, | |
| 0.005378047943115235, | |
| 0.005277696132659912, | |
| 0.0052633600234985355, | |
| 0.005274623870849609, | |
| 0.005284863948822022, | |
| 0.005247007846832275, | |
| 0.0051874880790710445, | |
| 0.005252096176147461, | |
| 0.005206016063690186, | |
| 0.005188479900360108, | |
| 0.005215199947357177, | |
| 0.005201920032501221, | |
| 0.005248032093048096, | |
| 0.00524886417388916, | |
| 0.005214208126068115, | |
| 0.005195775985717774, | |
| 0.005327775955200196, | |
| 0.005221536159515381, | |
| 0.005249983787536621, | |
| 0.0052930560111999515, | |
| 0.00521727991104126, | |
| 0.005183487892150879, | |
| 0.005202943801879883, | |
| 0.005276671886444092, | |
| 0.00522547197341919, | |
| 0.005222400188446045, | |
| 0.0052622718811035155, | |
| 0.0051968002319335935, | |
| 0.005186399936676025, | |
| 0.0052111358642578124, | |
| 0.005285888195037842, | |
| 0.005215231895446777, | |
| 0.005287936210632324, | |
| 0.005269504070281982, | |
| 0.005255167961120606, | |
| 0.005208064079284668, | |
| 0.005202943801879883, | |
| 0.005239808082580567, | |
| 0.0052674560546875, | |
| 0.005246975898742676, | |
| 0.005248000144958496, | |
| 0.005259263992309571, | |
| 0.005318655967712403, | |
| 0.005384191989898681, | |
| 0.005310463905334473, | |
| 0.0052715520858764645, | |
| 0.005203968048095703, | |
| 0.005187424182891845, | |
| 0.005279744148254394, | |
| 0.0052787837982177736, | |
| 0.005219327926635742, | |
| 0.0052674560546875, | |
| 0.0052008957862854, | |
| 0.0052070398330688475, | |
| 0.005224448204040527, | |
| 0.005158912181854248, | |
| 0.005210976123809815, | |
| 0.005254144191741943, | |
| 0.0052336640357971195, | |
| 0.0051916160583496095, | |
| 0.005204991817474365, | |
| 0.005214208126068115, | |
| 0.005193727970123291, | |
| 0.005213183879852295, | |
| 0.005231616020202637 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 179.20651990375788 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 6.22407486093398e-08, | |
| "ram": 3.402259922731139e-08, | |
| "gpu": 1.3082471198952895e-07, | |
| "total": 2.2708805982618014e-07 | |
| }, | |
| "efficiency": { | |
| "unit": "samples/kWh", | |
| "value": 4403578.069077825 | |
| } | |
| } | |
| } | |
| } |