
IlyasMoutawwakil
HF staff
Upload cuda_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
ed634cd
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": 951.136256, | |
"max_global_vram": 1047.003136, | |
"max_process_vram": 0.0, | |
"max_reserved": 396.361728, | |
"max_allocated": 253.912576 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 198, | |
"total": 0.9958519682884212, | |
"mean": 0.005029555395396069, | |
"stdev": 0.0002530561190212336, | |
"p50": 0.004920319795608521, | |
"p90": 0.005239193439483643, | |
"p95": 0.005478124737739557, | |
"p99": 0.0058962227439880366, | |
"values": [ | |
0.006095871925354004, | |
0.005708672046661377, | |
0.005879807949066162, | |
0.005880832195281982, | |
0.005843967914581299, | |
0.005832704067230224, | |
0.005890048027038574, | |
0.005784575939178467, | |
0.0057825279235839844, | |
0.006375423908233643, | |
0.005122047901153564, | |
0.004921343803405762, | |
0.0048752641677856446, | |
0.004853759765625, | |
0.004910079956054687, | |
0.004910079956054687, | |
0.004898975849151612, | |
0.005003392219543457, | |
0.004994016170501709, | |
0.0048158721923828125, | |
0.004844543933868409, | |
0.004869120121002197, | |
0.004873216152191162, | |
0.004866112232208252, | |
0.004902912139892578, | |
0.00487014389038086, | |
0.004869120121002197, | |
0.004887551784515381, | |
0.004876255989074707, | |
0.004890624046325683, | |
0.0048865280151367185, | |
0.0048230400085449215, | |
0.004816895961761475, | |
0.0048578882217407224, | |
0.004840447902679444, | |
0.004850687980651855, | |
0.0048752641677856446, | |
0.00501043176651001, | |
0.004871232032775879, | |
0.00516812801361084, | |
0.004840447902679444, | |
0.004825088024139404, | |
0.004898848056793213, | |
0.004843520164489746, | |
0.004820991992950439, | |
0.004810751914978028, | |
0.004903935909271241, | |
0.004866047859191895, | |
0.004896768093109131, | |
0.004888607978820801, | |
0.004902912139892578, | |
0.004891647815704346, | |
0.004868063926696777, | |
0.004878464221954345, | |
0.004884543895721435, | |
0.004935679912567138, | |
0.00486195182800293, | |
0.004924416065216064, | |
0.004839424133300781, | |
0.005064608097076416, | |
0.004868095874786377, | |
0.004993023872375488, | |
0.004841407775878906, | |
0.004892672061920166, | |
0.004869120121002197, | |
0.004925439834594727, | |
0.004905983924865722, | |
0.004884479999542236, | |
0.004899839878082276, | |
0.004811776161193848, | |
0.0048384637832641604, | |
0.0048261117935180665, | |
0.004841472148895264, | |
0.00486297607421875, | |
0.004827136039733886, | |
0.0048189439773559575, | |
0.004821887969970703, | |
0.004881311893463134, | |
0.004830207824707031, | |
0.004829184055328369, | |
0.004830336093902588, | |
0.004827136039733886, | |
0.005055488109588623, | |
0.005022719860076904, | |
0.004829184055328369, | |
0.0048158721923828125, | |
0.004878335952758789, | |
0.004837376117706299, | |
0.00486297607421875, | |
0.004866047859191895, | |
0.0049552001953125, | |
0.004939775943756103, | |
0.004908031940460205, | |
0.004897664070129395, | |
0.0048793601989746095, | |
0.00496230411529541, | |
0.004917247772216797, | |
0.0048802242279052735, | |
0.0048895998001098635, | |
0.004899839878082276, | |
0.004934656143188477, | |
0.004876287937164306, | |
0.004827104091644287, | |
0.004888703823089599, | |
0.004994048118591309, | |
0.004898816108703613, | |
0.005049344062805176, | |
0.00506982421875, | |
0.0049541440010070804, | |
0.004926623821258545, | |
0.004842495918273926, | |
0.0048496642112731934, | |
0.004890751838684082, | |
0.004851712226867676, | |
0.0048455681800842285, | |
0.004931583881378174, | |
0.004952064037322998, | |
0.004944896221160889, | |
0.0049192957878112795, | |
0.0049797120094299315, | |
0.004952064037322998, | |
0.004908031940460205, | |
0.004918367862701416, | |
0.004890624046325683, | |
0.0050063362121582035, | |
0.004958208084106445, | |
0.005059584140777588, | |
0.005039103984832764, | |
0.00492252779006958, | |
0.0048793601989746095, | |
0.004884479999542236, | |
0.004829184055328369, | |
0.004817920207977295, | |
0.004875360012054443, | |
0.004826015949249267, | |
0.004858880043029785, | |
0.004857855796813965, | |
0.004890624046325683, | |
0.004877312183380127, | |
0.004895743846893311, | |
0.0049387521743774416, | |
0.004859903812408447, | |
0.004922368049621582, | |
0.005094399929046631, | |
0.005232639789581299, | |
0.0052367358207702636, | |
0.005228544235229492, | |
0.005352447986602784, | |
0.005246975898742676, | |
0.005319680213928223, | |
0.005180511951446533, | |
0.005220479965209961, | |
0.005186592102050781, | |
0.005173247814178467, | |
0.00517632007598877, | |
0.005328896045684814, | |
0.00515993595123291, | |
0.005141503810882568, | |
0.005165056228637695, | |
0.005142335891723633, | |
0.0051476478576660155, | |
0.005187583923339844, | |
0.0051363840103149415, | |
0.005181439876556396, | |
0.00521727991104126, | |
0.005201056003570557, | |
0.005172255992889404, | |
0.005144576072692871, | |
0.005128191947937012, | |
0.00526643180847168, | |
0.005244927883148193, | |
0.005437439918518067, | |
0.005154816150665284, | |
0.005145599842071533, | |
0.005119200229644775, | |
0.005090271949768067, | |
0.005072735786437989, | |
0.005127168178558349, | |
0.005194752216339111, | |
0.005181407928466797, | |
0.005221375942230225, | |
0.005249023914337158, | |
0.005164031982421875, | |
0.005174111843109131, | |
0.0051333122253417966, | |
0.005191679954528809, | |
0.0051270718574523925, | |
0.005153791904449463, | |
0.005172224044799805, | |
0.0051660799980163576, | |
0.005298208236694336, | |
0.005201920032501221, | |
0.005285888195037842, | |
0.0051701760292053225, | |
0.005198912143707275, | |
0.005204991817474365, | |
0.005160831928253174, | |
0.005144576072692871 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 198.8247312904388 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 6.154584658166495e-08, | |
"ram": 3.365077784694664e-08, | |
"gpu": 1.283204826217615e-07, | |
"total": 2.2351710705037307e-07 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 4473930.488795359 | |
} | |
} | |
} | |
} |