IlyasMoutawwakil's picture
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
c7eebd1 verified
raw
history blame
11.7 kB
{
"config": {
"name": "cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.0+cu121",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"library": "transformers",
"model_type": "roberta",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"device": "cuda",
"device_ids": "0",
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_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,
"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": 66697.25696,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.220-209.869.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": "4.44.0",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.8",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 763.101184,
"max_global_vram": 1185.415168,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 499.37152
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.41068994140625,
"mean": 7.41068994140625,
"stdev": 0.0,
"p50": 7.41068994140625,
"p90": 7.41068994140625,
"p95": 7.41068994140625,
"p99": 7.41068994140625,
"values": [
7.41068994140625
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 9.422364750001578e-07,
"ram": 4.6093342882917027e-07,
"gpu": 1.7377791680004383e-06,
"total": 3.1409490718297663e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 963.551232,
"max_global_vram": 1195.900928,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 509.038592
},
"latency": {
"unit": "s",
"count": 135,
"total": 0.9971638078689574,
"mean": 0.007386398576807093,
"stdev": 0.00035956554890602686,
"p50": 0.007509920120239258,
"p90": 0.007779737567901611,
"p95": 0.007839744091033935,
"p99": 0.008112250747680664,
"values": [
0.007821311950683594,
0.008023039817810058,
0.008158207893371582,
0.007925759792327881,
0.007839744091033935,
0.007802879810333252,
0.007839744091033935,
0.008169471740722656,
0.007740416049957275,
0.007692287921905518,
0.007783423900604248,
0.007669760227203369,
0.007619584083557129,
0.007602176189422607,
0.007702527999877929,
0.007844863891601562,
0.007704576015472412,
0.00773632001876831,
0.007712768077850342,
0.00765337610244751,
0.007607295989990235,
0.007701504230499268,
0.007740384101867676,
0.00782643222808838,
0.007753727912902832,
0.007692287921905518,
0.007601183891296387,
0.007675903797149658,
0.007774208068847656,
0.007702527999877929,
0.0076574721336364745,
0.00753868818283081,
0.007556096076965332,
0.007935999870300293,
0.007654399871826172,
0.007640096187591552,
0.007662528038024903,
0.007732223987579345,
0.007688191890716553,
0.00773632001876831,
0.007726079940795898,
0.007824384212493896,
0.007624703884124756,
0.007612415790557861,
0.0076390719413757325,
0.007683072090148926,
0.007294976234436036,
0.0072540159225463864,
0.007256063938140869,
0.007206912040710449,
0.007173120021820068,
0.007261184215545655,
0.007194623947143554,
0.007461887836456299,
0.007686143875122071,
0.007616511821746826,
0.007591936111450195,
0.00754585599899292,
0.007574528217315674,
0.007602176189422607,
0.007556096076965332,
0.007274496078491211,
0.007327807903289795,
0.007333888053894043,
0.007341055870056152,
0.007307263851165771,
0.007291903972625732,
0.00744652795791626,
0.007723008155822754,
0.007620607852935791,
0.007590911865234375,
0.007632895946502686,
0.007541696071624756,
0.007509920120239258,
0.007422976016998291,
0.007516160011291504,
0.007558144092559814,
0.007546847820281983,
0.007263264179229736,
0.007275519847869873,
0.0074106879234313965,
0.007577600002288819,
0.007620607852935791,
0.007659520149230957,
0.007661568164825439,
0.007706624031066894,
0.007797760009765625,
0.0073820161819458,
0.00724889612197876,
0.007185408115386963,
0.00713318395614624,
0.007238656044006348,
0.007189472198486328,
0.007209983825683594,
0.007228415966033935,
0.007165952205657959,
0.007202816009521484,
0.007214079856872559,
0.007226367950439453,
0.00724070405960083,
0.007158783912658692,
0.007205887794494629,
0.007166975975036621,
0.006883296012878418,
0.006876160144805908,
0.0068392958641052244,
0.006864895820617676,
0.006864895820617676,
0.0068392958641052244,
0.006852608203887939,
0.006860799789428711,
0.006864895820617676,
0.006847487926483154,
0.006842368125915528,
0.006854656219482422,
0.006853631973266602,
0.006860799789428711,
0.006864863872528076,
0.006860799789428711,
0.006845439910888672,
0.00683622407913208,
0.0068689918518066405,
0.006842368125915528,
0.006867968082427979,
0.006846464157104492,
0.006883327960968018,
0.006846464157104492,
0.006875135898590088,
0.0068853759765625,
0.006873055934906006,
0.006853631973266602,
0.0068915200233459475,
0.006863872051239014,
0.00683622407913208,
0.006854656219482422
]
},
"throughput": {
"unit": "samples/s",
"value": 135.38397496446345
},
"energy": {
"unit": "kWh",
"cpu": 8.132470689687975e-08,
"ram": 4.44504337708622e-08,
"gpu": 1.5352371490410673e-07,
"total": 2.7929885557184867e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3580394.1908482094
}
}
}
}