IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
e900918 verified
raw
history blame
10.5 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": "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": {},
"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": "0.2.1",
"optimum_benchmark_commit": null,
"transformers_version": "4.42.3",
"transformers_commit": null,
"accelerate_version": "0.31.0",
"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": 903.745536,
"max_global_vram": 1195.900928,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 508.993536
},
"latency": {
"unit": "s",
"count": 133,
"total": 0.998254143714905,
"mean": 0.007505670253495525,
"stdev": 0.0002626553010592982,
"p50": 0.007400447845458984,
"p90": 0.007787110328674316,
"p95": 0.007942758560180665,
"p99": 0.00818270175933838,
"values": [
0.00818892765045166,
0.007967743873596191,
0.008032256126403809,
0.007998464107513427,
0.007945216178894043,
0.007939072132110595,
0.007633920192718506,
0.00758784008026123,
0.007817215919494629,
0.007678976058959961,
0.007639039993286132,
0.007599103927612305,
0.007825407981872558,
0.008169471740722656,
0.00778547191619873,
0.00881766414642334,
0.00771065616607666,
0.0076912641525268555,
0.007762944221496582,
0.007737343788146973,
0.00773632001876831,
0.007933887958526611,
0.007787519931793213,
0.007680031776428222,
0.007708672046661377,
0.007656447887420655,
0.007579648017883301,
0.007642079830169677,
0.007648255825042725,
0.00774348783493042,
0.007678976058959961,
0.007941120147705078,
0.007822336196899414,
0.007714816093444824,
0.007682047843933106,
0.007697408199310303,
0.007738368034362793,
0.007768064022064209,
0.007668672084808349,
0.007364607810974121,
0.00759500789642334,
0.007762879848480225,
0.00775270414352417,
0.007350272178649903,
0.007387135982513428,
0.007353343963623047,
0.007423999786376953,
0.007674880027770996,
0.007673823833465576,
0.007528448104858398,
0.007393280029296875,
0.00740556812286377,
0.007398399829864502,
0.007549952030181885,
0.007636991977691651,
0.00745472002029419,
0.007316480159759522,
0.007218175888061523,
0.007128064155578613,
0.007329760074615478,
0.007590911865234375,
0.007675903797149658,
0.007400447845458984,
0.007350272178649903,
0.007302144050598145,
0.0075038719177246095,
0.007658495903015137,
0.007693312168121338,
0.007669760227203369,
0.0077281279563903805,
0.007542784214019775,
0.007426047801971435,
0.007342080116271973,
0.007482367992401123,
0.007345151901245117,
0.0073134078979492185,
0.007328767776489258,
0.007321599960327148,
0.007331840038299561,
0.007293951988220215,
0.007264256000518799,
0.007036928176879883,
0.007106560230255127,
0.007278592109680176,
0.007279615879058838,
0.0076943359375,
0.007322624206542969,
0.007333888053894043,
0.007288832187652588,
0.0072765440940856935,
0.007602176189422607,
0.007334911823272705,
0.00773529577255249,
0.007328767776489258,
0.007054336071014404,
0.0072642240524291996,
0.00733081579208374,
0.0073062400817871095,
0.0073021121025085445,
0.007342080116271973,
0.00727347183227539,
0.007282688140869141,
0.007314400196075439,
0.007305215835571289,
0.007237631797790528,
0.0073062400817871095,
0.007271423816680909,
0.007300096035003662,
0.007585792064666748,
0.007602176189422607,
0.007308288097381592,
0.007364607810974121,
0.007308288097381592,
0.007273407936096191,
0.007300096035003662,
0.007299071788787842,
0.007390207767486572,
0.007247871875762939,
0.0072540159225463864,
0.007328767776489258,
0.007311295986175537,
0.007271423816680909,
0.007309311866760254,
0.007237631797790528,
0.007280640125274658,
0.007263232231140137,
0.007294976234436036,
0.007287871837615967,
0.007375904083251953,
0.00725708818435669,
0.007280640125274658,
0.0072765440940856935,
0.007414783954620361
]
},
"throughput": {
"unit": "samples/s",
"value": 133.2326049807853
},
"energy": {
"unit": "kWh",
"cpu": 8.313119318842796e-08,
"ram": 4.5452705357070126e-08,
"gpu": 1.4877440029370648e-07,
"total": 2.7735829883920457e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3605444.669170469
}
}
}
}