IlyasMoutawwakil's picture
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
cb16459 verified
raw
history blame
11.5 kB
{
"config": {
"name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.2.2+rocm5.7",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "fill-mask",
"library": "transformers",
"model_type": "bert",
"model": "google-bert/bert-base-uncased",
"processor": "google-bert/bert-base-uncased",
"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": 1082015.236096,
"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": "0.3.1",
"optimum_benchmark_commit": "8bf68d01ce920e01ece8935a1cc6d7e3f17c2d2b",
"transformers_version": "4.42.4",
"transformers_commit": null,
"accelerate_version": "0.32.1",
"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": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 898.428928,
"max_global_vram": 875.319296,
"max_process_vram": 47915.491328,
"max_reserved": 589.299712,
"max_allocated": 533.571072
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.8942939453125,
"mean": 7.8942939453125,
"stdev": 0.0,
"p50": 7.8942939453125,
"p90": 7.8942939453125,
"p95": 7.8942939453125,
"p99": 7.8942939453125,
"values": [
7.8942939453125
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1017.618432,
"max_global_vram": 938.86464,
"max_process_vram": 219077.476352,
"max_reserved": 589.299712,
"max_allocated": 439.456768
},
"latency": {
"unit": "s",
"count": 142,
"total": 1.0009910035133363,
"mean": 0.007049232419108002,
"stdev": 0.00024115932762082916,
"p50": 0.006954113006591797,
"p90": 0.00732745475769043,
"p95": 0.007645860028266906,
"p99": 0.007890263719558716,
"values": [
0.007328910827636719,
0.007146192073822021,
0.00710971212387085,
0.007314350128173828,
0.007060752868652344,
0.006997073173522949,
0.007554348945617676,
0.007036912918090821,
0.006925872802734375,
0.006962353229522705,
0.00715067195892334,
0.006954513072967529,
0.00692939281463623,
0.006890994071960449,
0.0069281129837036135,
0.006930832862854004,
0.006920753002166748,
0.0069071540832519535,
0.006851792812347412,
0.006926514148712158,
0.006921553134918213,
0.007002033233642578,
0.006982992172241211,
0.006990832805633545,
0.00701403284072876,
0.007024752140045166,
0.0069757928848266605,
0.007040593147277832,
0.006924273014068604,
0.007044112205505371,
0.006946513175964356,
0.006976753234863281,
0.006971473217010498,
0.006965073108673095,
0.008036425590515137,
0.007371311187744141,
0.006948273181915283,
0.0069116330146789555,
0.0071143522262573245,
0.007219951152801513,
0.0072053918838500975,
0.007218831062316895,
0.007131152153015137,
0.007125872135162354,
0.007158191204071045,
0.007246510982513428,
0.007056912899017334,
0.006867312908172608,
0.00691227388381958,
0.006896432876586914,
0.007101712226867676,
0.007148111820220947,
0.0071975507736206056,
0.0072380309104919435,
0.0071271519660949705,
0.007114672183990479,
0.007102831840515137,
0.007238990783691406,
0.007224431991577148,
0.0071962718963623044,
0.007135632038116455,
0.007170190811157226,
0.007253070831298828,
0.007299631118774414,
0.007175951957702637,
0.0071505107879638674,
0.006978672981262207,
0.006900594234466552,
0.006822992801666259,
0.006950833797454834,
0.00685499382019043,
0.0069428329467773435,
0.006890674114227295,
0.006878993034362793,
0.00688651418685913,
0.0068645930290222165,
0.006849073886871338,
0.006852593898773194,
0.006931793212890625,
0.006856433868408203,
0.006826513767242431,
0.006963313102722168,
0.006901712894439698,
0.006884274005889893,
0.006837872982025146,
0.0068575539588928225,
0.006853553771972656,
0.006930353164672852,
0.006865873813629151,
0.00690043306350708,
0.007034352779388428,
0.006953712940216065,
0.006881553173065186,
0.007396749973297119,
0.00701451301574707,
0.006913393020629883,
0.006955152988433838,
0.0069028339385986326,
0.00695995283126831,
0.007250511169433594,
0.007673707962036133,
0.007673068046569824,
0.007704108238220215,
0.007650187969207764,
0.00769898796081543,
0.007732428073883056,
0.007999946117401123,
0.0072185111045837405,
0.007225552082061768,
0.007101232051849365,
0.007563629150390625,
0.007301870822906494,
0.007427470207214355,
0.007350029945373535,
0.006805233955383301,
0.006912913799285889,
0.006832913875579834,
0.00689659309387207,
0.006823634147644043,
0.006907473087310791,
0.0068380341529846195,
0.006906192779541015,
0.006853553771972656,
0.006894673824310303,
0.006904432773590088,
0.006894352912902832,
0.006875473976135254,
0.0068746738433837894,
0.006836593151092529,
0.0068386740684509275,
0.00681835412979126,
0.006892754077911377,
0.006814833164215088,
0.0068479528427124025,
0.006917873859405518,
0.0068412327766418455,
0.0069100341796875,
0.00687259292602539,
0.006847794055938721,
0.006881073951721191,
0.006820754051208496,
0.006860272884368896
]
},
"throughput": {
"unit": "samples/s",
"value": 141.85941681953202
},
"energy": null,
"efficiency": null
}
}
}