IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
4b531d7 verified
raw
history blame
10.7 kB
{
"config": {
"name": "cuda_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.2.2+rocm5.7",
"_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": false,
"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 7763 64-Core Processor",
"cpu_count": 128,
"cpu_ram_mb": 1082015.236096,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"Advanced Micro Devices, Inc. [AMD/ATI]"
],
"gpu_count": 1,
"gpu_vram_mb": 68702699520,
"optimum_benchmark_version": "0.3.0",
"optimum_benchmark_commit": "748abd0c7ac21cfb1798768cad39007b466ce8e8",
"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": 1009.283072,
"max_global_vram": 897.757184,
"max_process_vram": 199577.481216,
"max_reserved": 555.74528,
"max_allocated": 499.443712
},
"latency": {
"unit": "s",
"count": 144,
"total": 0.9971801538467412,
"mean": 0.006924862179491255,
"stdev": 0.0004506721662233124,
"p50": 0.006799014568328857,
"p90": 0.0072383089542388925,
"p95": 0.007481276130676269,
"p99": 0.009047464542388901,
"values": [
0.0075162920951843265,
0.007142054080963135,
0.006784934997558594,
0.0067676548957824705,
0.006787654876708985,
0.006765574932098389,
0.006756295204162597,
0.006754374980926513,
0.006751814842224121,
0.0067689352035522465,
0.006696774959564209,
0.006686534881591797,
0.006716135025024414,
0.006697414875030517,
0.00667085599899292,
0.006663974761962891,
0.006668775081634521,
0.006668135166168213,
0.006715015888214111,
0.006664135932922363,
0.006696455001831055,
0.006699015140533447,
0.006710215091705322,
0.006707334995269775,
0.006678054809570313,
0.006665736198425293,
0.006702694892883301,
0.006698695182800293,
0.006709575176239014,
0.006718375205993652,
0.006736774921417236,
0.006710054874420166,
0.006702694892883301,
0.01038124179840088,
0.006963813781738281,
0.006810854911804199,
0.006730535984039307,
0.006777894973754883,
0.006733735084533691,
0.006740294933319092,
0.006731174945831299,
0.006722054958343506,
0.006976774215698242,
0.006770534992218018,
0.006786855220794677,
0.006760775089263916,
0.006741095066070557,
0.006889413833618164,
0.006726055145263672,
0.006741415023803711,
0.006739174842834473,
0.0070198140144348145,
0.006939333915710449,
0.00678077507019043,
0.00679981517791748,
0.006762535095214844,
0.010038043022155762,
0.007071333885192871,
0.006929094791412353,
0.006928935050964356,
0.006793254852294922,
0.006757894992828369,
0.0067602949142456055,
0.006739815235137939,
0.006827014923095703,
0.006761254787445069,
0.006765095233917237,
0.006798213958740235,
0.006763814926147461,
0.006737895011901855,
0.006760934829711914,
0.0067486147880554195,
0.0067548551559448245,
0.0067498950958251955,
0.006747175216674805,
0.006719494819641113,
0.006745894908905029,
0.0067486147880554195,
0.006763494968414306,
0.006709734916687012,
0.0067622151374816895,
0.006732295036315918,
0.00676061487197876,
0.006793574810028076,
0.006790695190429688,
0.006766214847564698,
0.006800934791564941,
0.0068623747825622555,
0.006839654922485352,
0.006835333824157715,
0.006825415134429932,
0.00681517505645752,
0.006815013885498047,
0.00678509521484375,
0.00687469482421875,
0.006825254917144775,
0.006841734886169433,
0.006847653865814209,
0.00685613489151001,
0.006818214893341065,
0.0068599748611450195,
0.006860935211181641,
0.006845414161682129,
0.006831974983215332,
0.006809094905853272,
0.006863814830780029,
0.006827494144439697,
0.006818534851074219,
0.007227333068847657,
0.0076705322265625,
0.007734372138977051,
0.007508131980895996,
0.0070462141036987305,
0.00728221321105957,
0.007174373149871826,
0.007200772762298584,
0.007171974182128906,
0.007296133041381836,
0.007671492099761963,
0.007656132221221924,
0.007156773090362549,
0.00724301290512085,
0.0072702131271362306,
0.007180774211883545,
0.007161094188690186,
0.007219333171844483,
0.007303173065185547,
0.007329092979431152,
0.007247172832489014,
0.007187812805175781,
0.007127813816070557,
0.007113093852996826,
0.006889894962310791,
0.006847175121307373,
0.006818055152893066,
0.006824294090270996,
0.006834374904632568,
0.006858695030212403,
0.006828134059906006,
0.0068391752243042,
0.006870053768157959,
0.006801575183868408,
0.00685277509689331,
0.0068457350730896
]
},
"throughput": {
"unit": "samples/s",
"value": 144.40720610463708
},
"energy": null,
"efficiency": null
}
}
}