IlyasMoutawwakil's picture
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
d38a62d verified
raw
history blame
11.2 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": "034e40c3ab573ad44343a7fcce8e83f9a39327de",
"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": 898.035712,
"max_global_vram": 1160.097792,
"max_process_vram": 42363.265024,
"max_reserved": 589.299712,
"max_allocated": 533.571072
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.0235556640625,
"mean": 7.0235556640625,
"stdev": 0.0,
"p50": 7.0235556640625,
"p90": 7.0235556640625,
"p95": 7.0235556640625,
"p99": 7.0235556640625,
"values": [
7.0235556640625
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1017.749504,
"max_global_vram": 1223.634944,
"max_process_vram": 220515.823616,
"max_reserved": 589.299712,
"max_allocated": 439.456768
},
"latency": {
"unit": "s",
"count": 134,
"total": 1.0024127411842345,
"mean": 0.00748069209838981,
"stdev": 0.00040101286725827785,
"p50": 0.00745411491394043,
"p90": 0.007858709621429443,
"p95": 0.007899916911125182,
"p99": 0.008466717834472653,
"values": [
0.00813411808013916,
0.00736531400680542,
0.007655235767364502,
0.007615715980529785,
0.007532035827636719,
0.007518435955047607,
0.0073977952003479,
0.007360674858093262,
0.0072587537765502926,
0.007245793819427491,
0.007455235004425049,
0.007226113796234131,
0.007177954196929932,
0.007284035205841064,
0.007141794204711914,
0.007168193817138672,
0.007147394180297852,
0.007220993995666504,
0.007100993156433105,
0.007225955009460449,
0.00716387414932251,
0.007193153858184815,
0.0071584339141845706,
0.007184353828430176,
0.007080352783203125,
0.007457155227661133,
0.007574755191802979,
0.007657316207885742,
0.007660995960235595,
0.007781957149505615,
0.007873316764831544,
0.00747043514251709,
0.007424194812774659,
0.009559725761413574,
0.008249958992004395,
0.007941798210144043,
0.007826597213745116,
0.007832197189331055,
0.007814917087554931,
0.007901476860046388,
0.007820837020874024,
0.007818596839904785,
0.007824037075042724,
0.007819716930389404,
0.007851558208465576,
0.007827877044677734,
0.007819077014923096,
0.007845157146453858,
0.0077744369506835935,
0.007866436958312989,
0.007814436912536622,
0.007821317195892335,
0.007823717117309571,
0.007824516773223877,
0.00778499698638916,
0.007882277011871337,
0.007787877082824707,
0.007903878211975097,
0.0077958769798278805,
0.007831236839294434,
0.00783795690536499,
0.00789907693862915,
0.007842758178710937,
0.007189313888549805,
0.00699811315536499,
0.007010112762451172,
0.006943393230438233,
0.0072777938842773435,
0.0069670729637146,
0.006937633037567139,
0.006998272895812988,
0.00698451280593872,
0.006973473072052002,
0.006981633186340332,
0.006939712047576904,
0.0069494729042053225,
0.006924673080444336,
0.006959552764892578,
0.007019073009490967,
0.006932033061981201,
0.00698451280593872,
0.006930273056030273,
0.007025153160095215,
0.007123233795166016,
0.007347235202789307,
0.007650755882263184,
0.007405155181884766,
0.007761316776275635,
0.007858596801757812,
0.007858757972717284,
0.007859716892242432,
0.007865477085113525,
0.0077587571144104,
0.007779397010803222,
0.0077952370643615725,
0.007010593891143799,
0.007325153827667236,
0.006995392799377441,
0.00714803409576416,
0.007358914852142334,
0.007523396015167236,
0.007413955211639405,
0.007796677112579345,
0.007828357219696045,
0.007756516933441162,
0.007783076763153076,
0.008573479652404785,
0.007797156810760498,
0.007764997005462647,
0.007759236812591553,
0.007747076034545899,
0.007770596981048584,
0.0075941162109375,
0.007361794948577881,
0.007436995029449463,
0.007321314811706543,
0.00729603385925293,
0.007377153873443604,
0.00745059585571289,
0.0075832362174987795,
0.007452994823455811,
0.007289474010467529,
0.007148512840270996,
0.006905313014984131,
0.0069635529518127445,
0.006958433151245117,
0.006967872142791748,
0.007112353801727295,
0.006941792964935303,
0.007344674110412597,
0.007088034152984619,
0.007090434074401856,
0.007472835063934326,
0.00775603723526001
]
},
"throughput": {
"unit": "samples/s",
"value": 133.6774708606502
},
"energy": null,
"efficiency": null
}
}
}