IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
c523b6b verified
raw
history blame
12 kB
{
"config": {
"name": "cuda_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.0+cu124",
"_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": 66697.261056,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.223-211.872.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": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.1",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 791.179264,
"max_global_vram": 1185.415168,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 499.374592
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.41557470703125,
"mean": 7.41557470703125,
"stdev": 0.0,
"p50": 7.41557470703125,
"p90": 7.41557470703125,
"p95": 7.41557470703125,
"p99": 7.41557470703125,
"values": [
7.41557470703125
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.0591699124997294e-06,
"ram": 5.609054799337031e-07,
"gpu": 1.7961125480005224e-06,
"total": 3.4161879404339548e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1081.114624,
"max_global_vram": 1195.900928,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 508.993024
},
"latency": {
"unit": "s",
"count": 143,
"total": 1.0001531200408942,
"mean": 0.006994077762523732,
"stdev": 0.00023248259720239556,
"p50": 0.007058432102203369,
"p90": 0.007220633697509766,
"p95": 0.007315660715103149,
"p99": 0.007699845323562625,
"values": [
0.007299071788787842,
0.007365568161010742,
0.007355391979217529,
0.007328767776489258,
0.007277567863464355,
0.007237631797790528,
0.007155712127685547,
0.007156735897064209,
0.007136256217956543,
0.007073791980743408,
0.007163904190063477,
0.007124991893768311,
0.007077888011932373,
0.0070225920677185055,
0.007076863765716553,
0.007091231822967529,
0.007139328002929687,
0.0071526398658752445,
0.007135263919830322,
0.007174143791198731,
0.007113728046417236,
0.007078911781311035,
0.00709935998916626,
0.007162879943847656,
0.0071495680809020995,
0.007122943878173828,
0.007131135940551757,
0.007108607769012451,
0.007073791980743408,
0.007070720195770264,
0.007101439952850342,
0.007135231971740722,
0.007124991893768311,
0.007045119762420654,
0.0069918718338012695,
0.007016448020935059,
0.006999040126800537,
0.007068672180175781,
0.007035903930664063,
0.007071743965148926,
0.007790592193603516,
0.00719155216217041,
0.007221248149871826,
0.008096768379211425,
0.007142399787902832,
0.007151616096496582,
0.006978559970855713,
0.007574528217315674,
0.00733903980255127,
0.007173120021820068,
0.007110655784606934,
0.006800384044647217,
0.006848512172698974,
0.007198719978332519,
0.007006207942962647,
0.007093247890472412,
0.007076863765716553,
0.007080959796905518,
0.007207935810089112,
0.0070522880554199216,
0.007101439952850342,
0.007090176105499267,
0.007070720195770264,
0.007111680030822754,
0.007129087924957276,
0.00709939193725586,
0.007120895862579346,
0.00724889612197876,
0.00727347183227539,
0.007218175888061523,
0.0072540159225463864,
0.007185408115386963,
0.007144447803497315,
0.0073175039291381834,
0.00707583999633789,
0.0071485438346862796,
0.007128064155578613,
0.007020544052124023,
0.007032832145690918,
0.006875135898590088,
0.00687820816040039,
0.007072768211364746,
0.006966271877288818,
0.006767615795135498,
0.006726655960083008,
0.006732800006866455,
0.006795263767242431,
0.0070256638526916505,
0.006969344139099121,
0.007071743965148926,
0.007058432102203369,
0.007174143791198731,
0.00709939193725586,
0.0069816322326660156,
0.00679423999786377,
0.006756351947784424,
0.006687744140625,
0.006719488143920899,
0.006752255916595459,
0.006711296081542969,
0.0067573761940002445,
0.006738944053649902,
0.0067573761940002445,
0.006713344097137451,
0.006737919807434082,
0.006776832103729248,
0.006706175804138184,
0.006715360164642334,
0.006723584175109864,
0.006707200050354004,
0.006721536159515381,
0.006755328178405762,
0.006732800006866455,
0.006749184131622315,
0.0069253120422363285,
0.006795263767242431,
0.0067276802062988285,
0.006732800006866455,
0.0067686400413513184,
0.00672051191329956,
0.006730751991271973,
0.006730751991271973,
0.006692863941192627,
0.006700032234191895,
0.006729728221893311,
0.006694911956787109,
0.0067358717918396,
0.006719488143920899,
0.006690815925598144,
0.00672979211807251,
0.006729728221893311,
0.006743040084838867,
0.006700032234191895,
0.006715392112731934,
0.006748159885406494,
0.006871071815490723,
0.006747136116027832,
0.006760447978973389,
0.006721536159515381,
0.006907904148101806,
0.007064544200897217,
0.006833151817321777,
0.006722559928894043
]
},
"throughput": {
"unit": "samples/s",
"value": 142.97810718638073
},
"energy": {
"unit": "kWh",
"cpu": 7.766841273147549e-08,
"ram": 4.246705309345686e-08,
"gpu": 1.5462249116339205e-07,
"total": 2.747579569883244e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3639567.0245957393
}
}
}
}