IlyasMoutawwakil's picture
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
74696e4 verified
raw
history blame
9.76 kB
{
"config": {
"name": "cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.2.2+rocm5.7",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"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",
"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": "0.2.1",
"optimum_benchmark_commit": "c1d0b062e90b79e7705510c58cea731c0d90da8a",
"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": "1.0.3",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1003.278336,
"max_global_vram": 1878.8352,
"max_process_vram": 244014.153728,
"max_reserved": 555.74528,
"max_allocated": 499.507712
},
"latency": {
"unit": "s",
"count": 123,
"total": 0.9965150237083437,
"mean": 0.008101748160230434,
"stdev": 0.0002863609215272196,
"p50": 0.008094571113586425,
"p90": 0.008219049644470214,
"p95": 0.0083161865234375,
"p99": 0.00839506721496582,
"values": [
0.008246089935302734,
0.008027210235595703,
0.008013771057128907,
0.007996009826660157,
0.00820753002166748,
0.008319531440734863,
0.008389451026916505,
0.008357130050659179,
0.008380651473999023,
0.008299051284790039,
0.008318090438842773,
0.008275691032409669,
0.008221929550170898,
0.008150570869445801,
0.008115690231323242,
0.007751689910888672,
0.007718729972839356,
0.007807690143585205,
0.007590569972991943,
0.007879209995269776,
0.007898250102996825,
0.00761584997177124,
0.007594408988952636,
0.007623370170593262,
0.007997129917144775,
0.007968009948730469,
0.007818890094757081,
0.007992650985717773,
0.008011369705200196,
0.008006090164184571,
0.007987850189208985,
0.007963689804077148,
0.007976171016693115,
0.007968969821929931,
0.007977290153503418,
0.010891694068908692,
0.008396651268005371,
0.008081130027770996,
0.008104009628295899,
0.008065291404724121,
0.008078889846801758,
0.008096010208129882,
0.008284489631652832,
0.008110569953918458,
0.008102730751037597,
0.008150250434875488,
0.008149130821228028,
0.008103690147399902,
0.008072489738464356,
0.008065291404724121,
0.008089289665222169,
0.008064330101013184,
0.008098251342773437,
0.008123689651489258,
0.008104490280151368,
0.008093131065368653,
0.008118889808654784,
0.008120650291442872,
0.008136170387268066,
0.008069609642028809,
0.008106090545654298,
0.008092169761657714,
0.008087690353393556,
0.008083371162414551,
0.008067689895629882,
0.008080329895019531,
0.008079690933227539,
0.008184650421142577,
0.008104009628295899,
0.008103691101074218,
0.00813329029083252,
0.008066889762878417,
0.00811808967590332,
0.008076169967651366,
0.00811681079864502,
0.008100489616394042,
0.008141610145568847,
0.008083371162414551,
0.008116009712219239,
0.008083370208740235,
0.008095050811767578,
0.008112970352172852,
0.008102089881896972,
0.008071849822998047,
0.008100489616394042,
0.00809009075164795,
0.00813008975982666,
0.008066089630126953,
0.00809281063079834,
0.008099370002746582,
0.00811968994140625,
0.00810753059387207,
0.008087209701538086,
0.00813057041168213,
0.008129131317138672,
0.008095849990844726,
0.008087051391601563,
0.00810433006286621,
0.008153770446777344,
0.008094571113586425,
0.008096969604492188,
0.008059049606323242,
0.008096011161804199,
0.00810321044921875,
0.00807649040222168,
0.008073769569396972,
0.008086569786071777,
0.008079529762268067,
0.008073129653930665,
0.00803617000579834,
0.00810225009918213,
0.008059370040893554,
0.00822992992401123,
0.008107690811157227,
0.008112970352172852,
0.008071049690246582,
0.008088810920715332,
0.008093609809875488,
0.008100810050964356,
0.00810481071472168,
0.008086890220642089,
0.008087529182434081,
0.0081552095413208
]
},
"throughput": {
"unit": "samples/s",
"value": 123.43015115043487
},
"energy": null,
"efficiency": null
}
}
}