
IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
53c743a
verified
{ | |
"config": { | |
"name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.3.1+cu121", | |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
"task": "fill-mask", | |
"library": "transformers", | |
"model_type": "bert", | |
"model": "google-bert/bert-base-uncased", | |
"processor": "google-bert/bert-base-uncased", | |
"device": "cuda", | |
"device_ids": "0", | |
"seed": 42, | |
"inter_op_num_threads": null, | |
"intra_op_num_threads": null, | |
"model_kwargs": {}, | |
"processor_kwargs": {}, | |
"hub_kwargs": {}, | |
"no_weights": true, | |
"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", | |
"numactl": false, | |
"numactl_kwargs": {}, | |
"start_method": "spawn" | |
}, | |
"environment": { | |
"cpu": " AMD EPYC 7R32", | |
"cpu_count": 16, | |
"cpu_ram_mb": 66697.293824, | |
"system": "Linux", | |
"machine": "x86_64", | |
"platform": "Linux-5.10.219-208.866.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": "0.3.1", | |
"optimum_benchmark_commit": null, | |
"transformers_version": "4.42.4", | |
"transformers_commit": null, | |
"accelerate_version": "0.32.1", | |
"accelerate_commit": null, | |
"diffusers_version": "0.29.2", | |
"diffusers_commit": null, | |
"optimum_version": null, | |
"optimum_commit": null, | |
"timm_version": "1.0.7", | |
"timm_commit": null, | |
"peft_version": null, | |
"peft_commit": null | |
} | |
}, | |
"report": { | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 875.638784, | |
"max_global_vram": 1231.552512, | |
"max_process_vram": 0.0, | |
"max_reserved": 591.396864, | |
"max_allocated": 449.269248 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 192, | |
"total": 1.0011557769775392, | |
"mean": 0.00521435300509135, | |
"stdev": 0.00017883960613527348, | |
"p50": 0.005245440006256104, | |
"p90": 0.005377945566177368, | |
"p95": 0.005456793665885925, | |
"p99": 0.005612359762191773, | |
"values": [ | |
0.005890048027038574, | |
0.005371903896331787, | |
0.0055848960876464845, | |
0.005488639831542969, | |
0.005422080039978027, | |
0.00550707197189331, | |
0.005410816192626953, | |
0.0053975038528442385, | |
0.0054579200744628905, | |
0.005386240005493164, | |
0.00536575984954834, | |
0.0053534722328186036, | |
0.005304384231567383, | |
0.005295104026794434, | |
0.005350399971008301, | |
0.005341184139251709, | |
0.005321728229522705, | |
0.005305344104766845, | |
0.005184512138366699, | |
0.005124095916748047, | |
0.005257215976715088, | |
0.005255167961120606, | |
0.005269504070281982, | |
0.005362688064575195, | |
0.005331967830657959, | |
0.0053002238273620605, | |
0.00536678409576416, | |
0.005296127796173096, | |
0.005250048160552978, | |
0.005262335777282715, | |
0.005344255924224854, | |
0.005347328186035156, | |
0.00535859203338623, | |
0.005370880126953125, | |
0.005319680213928223, | |
0.0053534722328186036, | |
0.005350399971008301, | |
0.005557248115539551, | |
0.005377024173736572, | |
0.005302271842956543, | |
0.005313536167144775, | |
0.005359615802764893, | |
0.00531660795211792, | |
0.005265408039093018, | |
0.005214208126068115, | |
0.0051404800415039064, | |
0.005158912181854248, | |
0.005197824001312256, | |
0.00526643180847168, | |
0.005192704200744629, | |
0.005235712051391602, | |
0.00531660795211792, | |
0.005251071929931641, | |
0.005284863948822022, | |
0.005346303939819336, | |
0.005350399971008301, | |
0.005359615802764893, | |
0.00536678409576416, | |
0.005359615802764893, | |
0.005327871799468994, | |
0.005390336036682129, | |
0.005246975898742676, | |
0.0052674560546875, | |
0.00536678409576416, | |
0.005341184139251709, | |
0.005343232154846191, | |
0.005338111877441406, | |
0.005310463905334473, | |
0.005329919815063477, | |
0.005281792163848877, | |
0.005156864166259765, | |
0.005167103767395019, | |
0.005292031764984131, | |
0.005246975898742676, | |
0.005299200057983398, | |
0.005343232154846191, | |
0.005302271842956543, | |
0.005232639789581299, | |
0.005318655967712403, | |
0.005279744148254394, | |
0.005228640079498291, | |
0.005279744148254394, | |
0.005241856098175048, | |
0.005294079780578613, | |
0.005250048160552978, | |
0.005337088108062744, | |
0.005345280170440674, | |
0.005378047943115235, | |
0.005370880126953125, | |
0.005336063861846924, | |
0.005336063861846924, | |
0.005351424217224121, | |
0.005285888195037842, | |
0.005313536167144775, | |
0.005331967830657959, | |
0.00521830415725708, | |
0.005174272060394287, | |
0.005381120204925537, | |
0.005241856098175048, | |
0.005185535907745361, | |
0.005182464122772217, | |
0.005058559894561767, | |
0.005023744106292725, | |
0.0051487040519714354, | |
0.005237760066986084, | |
0.005117951869964599, | |
0.004965375900268554, | |
0.004978687763214112, | |
0.005008384227752686, | |
0.004968448162078858, | |
0.004996096134185791, | |
0.004986879825592041, | |
0.005284863948822022, | |
0.0053975038528442385, | |
0.005341184139251709, | |
0.0054609918594360355, | |
0.005455872058868408, | |
0.005536767959594726, | |
0.00550707197189331, | |
0.005298175811767578, | |
0.005375999927520752, | |
0.005254144191741943, | |
0.005206016063690186, | |
0.00521727991104126, | |
0.005167103767395019, | |
0.005158912181854248, | |
0.005187583923339844, | |
0.00521727991104126, | |
0.005183487892150879, | |
0.005202943801879883, | |
0.005974016189575195, | |
0.005213183879852295, | |
0.005183487892150879, | |
0.005238783836364746, | |
0.005191679954528809, | |
0.005234687805175781, | |
0.005254144191741943, | |
0.005161983966827393, | |
0.005189631938934326, | |
0.005243904113769531, | |
0.0051701760292053225, | |
0.0051701760292053225, | |
0.005204991817474365, | |
0.005208064079284668, | |
0.005161983966827393, | |
0.005153791904449463, | |
0.005119999885559082, | |
0.0049725441932678225, | |
0.00495411205291748, | |
0.004956160068511963, | |
0.004992000102996826, | |
0.004960256099700928, | |
0.004966400146484375, | |
0.004980735778808594, | |
0.00497049617767334, | |
0.004946944236755371, | |
0.005419007778167725, | |
0.005000192165374756, | |
0.0050063362121582035, | |
0.00496230411529541, | |
0.005022719860076904, | |
0.004965375900268554, | |
0.004980735778808594, | |
0.004960256099700928, | |
0.004959231853485108, | |
0.0049530878067016604, | |
0.0049827837944030765, | |
0.004964352130889893, | |
0.0049530878067016604, | |
0.004971519947052002, | |
0.004981760025024414, | |
0.004951039791107178, | |
0.004974592208862305, | |
0.004966400146484375, | |
0.00496127986907959, | |
0.00496230411529541, | |
0.004967423915863037, | |
0.0049428482055664065, | |
0.004967423915863037, | |
0.004969471931457519, | |
0.004965375900268554, | |
0.004943871974945068, | |
0.004975615978240967, | |
0.004984831809997559, | |
0.004975615978240967, | |
0.0049428482055664065, | |
0.00497049617767334, | |
0.004977663993835449, | |
0.00497049617767334, | |
0.004963327884674072, | |
0.005005311965942383, | |
0.004976640224456787 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 191.77834700174486 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 6.085894895754649e-08, | |
"ram": 3.327299007882132e-08, | |
"gpu": 1.265613548105066e-07, | |
"total": 2.2069329384687437e-07 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 4531175.291143369 | |
} | |
} | |
} | |
} |