IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
51c32f9 verified
raw
history blame
12.4 kB
{
"config": {
"name": "cuda_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.1+cu121",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"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": 66697.293824,
"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": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 720.42496,
"max_global_vram": 1185.415168,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 499.374592
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.132708984375,
"mean": 7.132708984375,
"stdev": 0.0,
"p50": 7.132708984375,
"p90": 7.132708984375,
"p95": 7.132708984375,
"p99": 7.132708984375,
"values": [
7.132708984375
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.077675653828515e-06,
"ram": 5.749925708867447e-07,
"gpu": 1.780556980000153e-06,
"total": 3.433225204715413e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 912.896,
"max_global_vram": 1195.900928,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 508.993024
},
"latency": {
"unit": "s",
"count": 152,
"total": 0.9994370865821842,
"mean": 0.006575243990672262,
"stdev": 0.0002479463670589506,
"p50": 0.00653107213973999,
"p90": 0.006770380830764771,
"p95": 0.0068909407615661625,
"p99": 0.0077316963338851935,
"values": [
0.006790143966674805,
0.006799359798431396,
0.006770688056945801,
0.006721504211425781,
0.0067010560035705566,
0.006711296081542969,
0.006708223819732666,
0.00662937593460083,
0.006597631931304931,
0.006586368083953857,
0.0065812478065490725,
0.006620160102844238,
0.00658022403717041,
0.006482944011688232,
0.006502399921417237,
0.006511616230010986,
0.006576128005981445,
0.006628352165222168,
0.006583295822143555,
0.006659071922302246,
0.006603775978088379,
0.006524928092956543,
0.006606847763061524,
0.006638591766357422,
0.006645760059356689,
0.006647808074951172,
0.00674508810043335,
0.006601727962493896,
0.006675456047058105,
0.006628352165222168,
0.0065474557876586915,
0.006642687797546387,
0.00662224006652832,
0.006564864158630371,
0.0065064959526062015,
0.006491136074066162,
0.0064778242111206055,
0.006553599834442139,
0.00653107213973999,
0.00653107213973999,
0.006574079990386963,
0.006523903846740723,
0.006620160102844238,
0.00667955207824707,
0.006605823993682861,
0.006709248065948486,
0.006885439872741699,
0.0066007041931152345,
0.006649856090545654,
0.0066119680404663084,
0.006618015766143799,
0.006553599834442139,
0.006608895778656006,
0.0066109437942504885,
0.006510591983795166,
0.006496255874633789,
0.0065136637687683106,
0.006557695865631104,
0.006615039825439453,
0.006551551818847656,
0.006499328136444092,
0.006551551818847656,
0.006499328136444092,
0.00653110408782959,
0.0065443840026855465,
0.006526976108551025,
0.006561791896820069,
0.006717440128326416,
0.006659071922302246,
0.006653952121734619,
0.006626304149627686,
0.00695091199874878,
0.006882304191589355,
0.006897664070129395,
0.006818816184997558,
0.006493120193481445,
0.006592512130737305,
0.0065146880149841305,
0.006512639999389648,
0.006491136074066162,
0.006280191898345947,
0.006407167911529541,
0.006523903846740723,
0.006377471923828125,
0.0062197761535644535,
0.006168575763702393,
0.006238207817077636,
0.006202367782592774,
0.00657203197479248,
0.006762495994567871,
0.006767615795135498,
0.006773791790008545,
0.006883327960968018,
0.007641088008880615,
0.00790835189819336,
0.007757791996002197,
0.007706624031066894,
0.0072130560874938965,
0.006500351905822754,
0.006456319808959961,
0.006396927833557129,
0.006597631931304931,
0.006473663806915283,
0.006386688232421875,
0.006437888145446777,
0.0066641921997070315,
0.006455296039581298,
0.006437888145446777,
0.006388735771179199,
0.0064471039772033695,
0.006451200008392334,
0.0066344962120056155,
0.006497280120849609,
0.006407167911529541,
0.006445055961608887,
0.006445055961608887,
0.00638156795501709,
0.006456319808959961,
0.0064471039772033695,
0.006395904064178467,
0.006437888145446777,
0.006403071880340576,
0.006433792114257812,
0.00643891191482544,
0.006400000095367431,
0.006425600051879882,
0.006427648067474365,
0.006459392070770263,
0.006453248023986816,
0.006425600051879882,
0.0063539199829101565,
0.006319104194641113,
0.006366208076477051,
0.006352896213531494,
0.006325215816497803,
0.006366208076477051,
0.006362112045288086,
0.006352896213531494,
0.0063610877990722655,
0.006305791854858398,
0.006429696083068847,
0.0063907837867736815,
0.006428671836853027,
0.006421504020690918,
0.006402048110961914,
0.006461440086364746,
0.006443967819213867,
0.006428671836853027,
0.0064542717933654785,
0.0066078720092773435,
0.006504447937011719,
0.00693555212020874
]
},
"throughput": {
"unit": "samples/s",
"value": 152.0856110311062
},
"energy": {
"unit": "kWh",
"cpu": 7.513217659439217e-08,
"ram": 4.1065195844950434e-08,
"gpu": 1.4882923298733984e-07,
"total": 2.650266054266825e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3773206.0839327397
}
}
}
}