IlyasMoutawwakil
HF staff
Upload cuda_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
7c17226
verified
| { | |
| "config": { | |
| "name": "cuda_inference_timm_image-classification_timm/resnet50.a1_in1k", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.3.0+cu121", | |
| "_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": "3.10.12", | |
| "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": "0.30.1", | |
| "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": 951.27552, | |
| "max_global_vram": 1047.003136, | |
| "max_process_vram": 0.0, | |
| "max_reserved": 396.361728, | |
| "max_allocated": 253.912576 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 178, | |
| "total": 0.99708611536026, | |
| "mean": 0.005601607389664381, | |
| "stdev": 0.00020456756707885312, | |
| "p50": 0.005658112049102783, | |
| "p90": 0.0058541632652282715, | |
| "p95": 0.005878575992584229, | |
| "p99": 0.005959890947341919, | |
| "values": [ | |
| 0.006119423866271972, | |
| 0.005855231761932373, | |
| 0.005959648132324219, | |
| 0.005856256008148194, | |
| 0.005923840045928955, | |
| 0.005895167827606201, | |
| 0.005866496086120605, | |
| 0.005896192073822021, | |
| 0.005912576198577881, | |
| 0.005863423824310303, | |
| 0.005912576198577881, | |
| 0.005836800098419189, | |
| 0.005857279777526855, | |
| 0.005785600185394287, | |
| 0.005795839786529541, | |
| 0.005776383876800537, | |
| 0.005509119987487793, | |
| 0.005569536209106446, | |
| 0.005600255966186523, | |
| 0.00571289587020874, | |
| 0.005702655792236328, | |
| 0.00573747205734253, | |
| 0.005830656051635743, | |
| 0.005863423824310303, | |
| 0.005831679821014404, | |
| 0.005854144096374512, | |
| 0.005755904197692871, | |
| 0.005724160194396972, | |
| 0.005690368175506591, | |
| 0.005756896018981933, | |
| 0.005864448070526123, | |
| 0.005764095783233642, | |
| 0.0059023361206054685, | |
| 0.005788671970367432, | |
| 0.005826560020446778, | |
| 0.005753856182098388, | |
| 0.005713920116424561, | |
| 0.005760000228881836, | |
| 0.0057292799949646, | |
| 0.005844992160797119, | |
| 0.005798912048339844, | |
| 0.0057712640762329105, | |
| 0.005650432109832764, | |
| 0.005609471797943116, | |
| 0.005596159934997558, | |
| 0.005684224128723145, | |
| 0.005709824085235596, | |
| 0.005612544059753418, | |
| 0.005675007820129394, | |
| 0.0057374401092529295, | |
| 0.005723135948181152, | |
| 0.005803008079528809, | |
| 0.005875648021697998, | |
| 0.005811200141906738, | |
| 0.005804031848907471, | |
| 0.005835775852203369, | |
| 0.005803008079528809, | |
| 0.005823488235473633, | |
| 0.005716991901397705, | |
| 0.005724160194396972, | |
| 0.005775360107421875, | |
| 0.005834815979003906, | |
| 0.005757952213287353, | |
| 0.005734399795532226, | |
| 0.005738560199737549, | |
| 0.0057190399169921875, | |
| 0.005634047985076904, | |
| 0.005660672187805176, | |
| 0.005753856182098388, | |
| 0.005696512222290039, | |
| 0.005695487976074219, | |
| 0.0058122239112854005, | |
| 0.005811200141906738, | |
| 0.005673984050750733, | |
| 0.0056483840942382815, | |
| 0.005696512222290039, | |
| 0.005685215950012207, | |
| 0.005773312091827393, | |
| 0.005733376026153565, | |
| 0.00570681619644165, | |
| 0.00566476821899414, | |
| 0.005705728054046631, | |
| 0.005718016147613526, | |
| 0.005783552169799804, | |
| 0.005854207992553711, | |
| 0.005816319942474365, | |
| 0.005791744232177734, | |
| 0.00582144021987915, | |
| 0.005960703849792481, | |
| 0.005753856182098388, | |
| 0.005788735866546631, | |
| 0.005745632171630859, | |
| 0.005611519813537597, | |
| 0.005758975982666016, | |
| 0.005695487976074219, | |
| 0.005618688106536865, | |
| 0.005583871841430664, | |
| 0.005417984008789062, | |
| 0.005483520030975342, | |
| 0.005641215801239013, | |
| 0.005675007820129394, | |
| 0.005429247856140137, | |
| 0.005372928142547607, | |
| 0.005417984008789062, | |
| 0.005370880126953125, | |
| 0.0053944320678710935, | |
| 0.005496831893920898, | |
| 0.005594048023223877, | |
| 0.005661695957183838, | |
| 0.005569536209106446, | |
| 0.005645311832427978, | |
| 0.005742591857910156, | |
| 0.005832704067230224, | |
| 0.0056555519104003905, | |
| 0.005475327968597412, | |
| 0.005450751781463623, | |
| 0.0053534722328186036, | |
| 0.005433343887329102, | |
| 0.005445631980895996, | |
| 0.005370880126953125, | |
| 0.005397439956665039, | |
| 0.005404704093933106, | |
| 0.0053637118339538575, | |
| 0.005351424217224121, | |
| 0.005401599884033203, | |
| 0.005392384052276611, | |
| 0.005354496002197265, | |
| 0.005410816192626953, | |
| 0.005372928142547607, | |
| 0.005335103988647461, | |
| 0.005325823783874512, | |
| 0.0054241280555725096, | |
| 0.005348351955413819, | |
| 0.005322751998901368, | |
| 0.005343167781829834, | |
| 0.00536575984954834, | |
| 0.005323775768280029, | |
| 0.005337088108062744, | |
| 0.005399551868438721, | |
| 0.0053350400924682614, | |
| 0.005349376201629639, | |
| 0.005341184139251709, | |
| 0.005345280170440674, | |
| 0.005345280170440674, | |
| 0.005346303939819336, | |
| 0.0053298878669738765, | |
| 0.005331967830657959, | |
| 0.005369855880737305, | |
| 0.0053309440612792965, | |
| 0.005349376201629639, | |
| 0.00535756778717041, | |
| 0.005370880126953125, | |
| 0.005337088108062744, | |
| 0.005391359806060791, | |
| 0.005347328186035156, | |
| 0.005339136123657226, | |
| 0.005371903896331787, | |
| 0.005345280170440674, | |
| 0.005322751998901368, | |
| 0.005412864208221436, | |
| 0.005336063861846924, | |
| 0.00535859203338623, | |
| 0.0053257918357849125, | |
| 0.005429247856140137, | |
| 0.005368832111358642, | |
| 0.00537497615814209, | |
| 0.005351424217224121, | |
| 0.0053842558860778805, | |
| 0.005361663818359375, | |
| 0.005343264102935791, | |
| 0.005401535987854004, | |
| 0.005337088108062744, | |
| 0.00537497615814209, | |
| 0.005395455837249756, | |
| 0.0053658242225646975, | |
| 0.005350399971008301, | |
| 0.005369855880737305, | |
| 0.005399551868438721 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 178.52018723145727 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 6.284749574481845e-08, | |
| "ram": 3.433324449043351e-08, | |
| "gpu": 1.2887282502645365e-07, | |
| "total": 2.2605356526170563e-07 | |
| }, | |
| "efficiency": { | |
| "unit": "samples/kWh", | |
| "value": 4423730.273142495 | |
| } | |
| } | |
| } | |
| } |