IlyasMoutawwakil's picture
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
b2a3c98 verified
raw
history blame
10.6 kB
{
"config": {
"name": "cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.0+rocm6.1",
"_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": 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": 1082015.256576,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-101-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": "0.4.0",
"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": 1384.873984,
"max_global_vram": 0.0,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 499.37152
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.55648388671875,
"mean": 7.55648388671875,
"stdev": 0.0,
"p50": 7.55648388671875,
"p90": 7.55648388671875,
"p95": 7.55648388671875,
"p99": 7.55648388671875,
"values": [
7.55648388671875
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1510.137856,
"max_global_vram": 0.0,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 499.5072
},
"latency": {
"unit": "s",
"count": 123,
"total": 1.0013995909690863,
"mean": 0.008141460089179558,
"stdev": 0.00029199832924892453,
"p50": 0.008030699729919434,
"p90": 0.008587626266479492,
"p95": 0.008758409690856934,
"p99": 0.008829511089324952,
"values": [
0.00876445770263672,
0.008657418251037597,
0.008240300178527832,
0.008669258117675781,
0.008796937942504883,
0.008424139022827149,
0.00837597942352295,
0.008236140251159667,
0.008298540115356445,
0.008222219467163085,
0.008117259979248047,
0.007927820205688477,
0.008146220207214356,
0.008047499656677247,
0.00784253978729248,
0.008155659675598144,
0.009178696632385254,
0.008388619422912597,
0.008262699127197265,
0.008031339645385742,
0.007997580051422119,
0.008038860321044922,
0.008084460258483887,
0.008060460090637206,
0.008220938682556153,
0.008168780326843261,
0.00793805980682373,
0.008164299964904784,
0.008059659004211427,
0.00817549991607666,
0.00802910041809082,
0.008502379417419433,
0.008465739250183105,
0.008295499801635742,
0.008426218986511231,
0.008561258316040038,
0.008555659294128418,
0.008484938621520995,
0.008528298377990722,
0.008535658836364746,
0.008684138298034667,
0.008482218742370606,
0.008472139358520508,
0.008703977584838866,
0.008550539016723632,
0.008152460098266602,
0.008040459632873535,
0.008237899780273438,
0.008305258750915527,
0.008124300003051758,
0.007835340023040772,
0.007995820045471192,
0.008063179969787598,
0.007927340030670166,
0.007841421127319335,
0.00806365966796875,
0.008123660087585449,
0.00789422082901001,
0.007924621105194091,
0.008001899719238282,
0.00794462013244629,
0.007817259788513184,
0.008038860321044922,
0.008005579948425294,
0.007878701210021972,
0.007883340835571288,
0.007952939987182618,
0.00793198013305664,
0.007786701202392578,
0.008060139656066894,
0.00796589994430542,
0.007866539955139161,
0.007893420219421387,
0.008089260101318359,
0.00796254014968872,
0.0077804608345031735,
0.007958859920501708,
0.007994379997253418,
0.007826059818267823,
0.007898221015930176,
0.008023180007934571,
0.007991180896759034,
0.007927340030670166,
0.007931180000305176,
0.008007980346679688,
0.007841899871826171,
0.00802542018890381,
0.008035340309143067,
0.007987339973449708,
0.007919661045074463,
0.008030699729919434,
0.007960620880126954,
0.007877740859985351,
0.007946539878845214,
0.007928460121154786,
0.00793582010269165,
0.007817420959472656,
0.007969099998474121,
0.007993899822235107,
0.0078850998878479,
0.007846701145172118,
0.007925260066986083,
0.007979979991912842,
0.007788939952850342,
0.007991980075836182,
0.007957581043243409,
0.007826060771942138,
0.007928460121154786,
0.00794670009613037,
0.007974860191345214,
0.007814860820770264,
0.007937739849090577,
0.007969260215759277,
0.008019339561462403,
0.008786377906799316,
0.008794378280639649,
0.00864621925354004,
0.008424619674682617,
0.008134380340576172,
0.00840557861328125,
0.008594218254089356,
0.008794057846069335,
0.008838698387145997
]
},
"throughput": {
"unit": "samples/s",
"value": 122.82809091320786
},
"energy": null,
"efficiency": null
}
}
}