IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
a501d09 verified
raw
history blame
9.91 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",
"model": "FacebookAI/roberta-base",
"library": "transformers",
"device": "cuda",
"device_ids": "0",
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"hub_kwargs": {
"revision": "main",
"force_download": false,
"local_files_only": false,
"trust_remote_code": false
},
"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",
"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": "0.2.0",
"optimum_benchmark_commit": "ebd20fcf042acf5db8d8956e7057fa93c82e14ab",
"transformers_version": "4.40.2",
"transformers_commit": null,
"accelerate_version": "0.30.1",
"accelerate_commit": null,
"diffusers_version": "0.27.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "0.9.16",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1002.684416,
"max_global_vram": 897.14688,
"max_process_vram": 261801.775104,
"max_reserved": 555.74528,
"max_allocated": 499.443712
},
"latency": {
"unit": "s",
"count": 125,
"total": 0.9957488594055177,
"mean": 0.00796599087524414,
"stdev": 0.00014217940476750785,
"p50": 0.007937283039093017,
"p90": 0.008125123023986816,
"p95": 0.008183874893188475,
"p99": 0.008305353469848634,
"values": [
0.008300003051757812,
0.008143362998962402,
0.008180803298950195,
0.008209922790527343,
0.008307043075561524,
0.008221762657165527,
0.008138883590698242,
0.008076963424682617,
0.008051202774047852,
0.008021443367004395,
0.007993603229522705,
0.007983043193817138,
0.007979203224182128,
0.007963683128356934,
0.007967523097991943,
0.007905922889709472,
0.00790928316116333,
0.007925922870635987,
0.007957922935485839,
0.007950082778930664,
0.00795488405227661,
0.0079393630027771,
0.007934402942657471,
0.00791200304031372,
0.007898242950439453,
0.007914243221282959,
0.008059843063354492,
0.008098882675170898,
0.00803200340270996,
0.008011842727661133,
0.008006402969360352,
0.007977283000946045,
0.007949283123016357,
0.007931202888488769,
0.007930882930755615,
0.007938242912292481,
0.007948643207550048,
0.007893763065338134,
0.007946883201599121,
0.007904003143310547,
0.007904482841491698,
0.007937283039093017,
0.007995683193206787,
0.008109442710876465,
0.008184642791748046,
0.008128003120422363,
0.008032483100891113,
0.008015362739562989,
0.008028803825378418,
0.008043362617492675,
0.008037443161010743,
0.007970882892608642,
0.007952642917633057,
0.00803648281097412,
0.008066722869873047,
0.007998403072357177,
0.007935682773590087,
0.007895523071289063,
0.007906403064727783,
0.007879843235015869,
0.007861443042755127,
0.008004962921142578,
0.008253764152526856,
0.008162403106689453,
0.008068483352661132,
0.008054883003234863,
0.008021443367004395,
0.00893120288848877,
0.007966564178466798,
0.00808624267578125,
0.008076322555541993,
0.008064482688903809,
0.008058882713317872,
0.008028642654418945,
0.008031203269958495,
0.00802496337890625,
0.00792352294921875,
0.007896162986755372,
0.007876643180847168,
0.007874242782592774,
0.007862722873687744,
0.007829442977905273,
0.00784768295288086,
0.007849603176116944,
0.007822563171386718,
0.007818562984466553,
0.007838562965393066,
0.00782416296005249,
0.007872962951660156,
0.008130244255065918,
0.008120802879333497,
0.007975203037261963,
0.007918723106384277,
0.007889762878417968,
0.00790992307662964,
0.007856002807617187,
0.007885922908782959,
0.007884482860565185,
0.007898882865905761,
0.007821123123168945,
0.007915203094482421,
0.007894883155822754,
0.007897122859954834,
0.007899202823638917,
0.007873443126678467,
0.007856002807617187,
0.007955683231353759,
0.007871842861175538,
0.007842082977294922,
0.007858242988586426,
0.00784816312789917,
0.00784816312789917,
0.0078760027885437,
0.007844482898712158,
0.007837923049926757,
0.007795362949371338,
0.0078214430809021,
0.007806562900543213,
0.007799683094024658,
0.007842722892761231,
0.0077737622261047365,
0.007784162998199463,
0.007810883045196533,
0.007835362911224365,
0.007807202816009521
]
},
"throughput": {
"unit": "samples/s",
"value": 125.53366124328534
},
"energy": null,
"efficiency": null
}
}
}