IlyasMoutawwakil's picture
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
f55d184 verified
raw
history blame
9.61 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",
"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": "0.3.0",
"optimum_benchmark_commit": "748abd0c7ac21cfb1798768cad39007b466ce8e8",
"transformers_version": "4.42.3",
"transformers_commit": null,
"accelerate_version": "0.31.0",
"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": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1004.675072,
"max_global_vram": 899.100672,
"max_process_vram": 200687.804416,
"max_reserved": 555.74528,
"max_allocated": 499.507712
},
"latency": {
"unit": "s",
"count": 118,
"total": 1.001658578872681,
"mean": 0.008488632024344751,
"stdev": 9.822969229939478e-05,
"p50": 0.00847003984451294,
"p90": 0.008629062938690186,
"p95": 0.008666486120224,
"p99": 0.008750708103179931,
"values": [
0.008424919128417968,
0.00844204044342041,
0.008435958862304688,
0.008415960311889648,
0.008517559051513673,
0.008484599113464355,
0.008630518913269042,
0.00853947925567627,
0.008489079475402832,
0.008473078727722167,
0.00846172046661377,
0.0085225191116333,
0.008460279464721679,
0.008481719970703124,
0.008456439971923828,
0.0085225191116333,
0.008460279464721679,
0.008465239524841309,
0.008429400444030762,
0.008460760116577148,
0.008421719551086426,
0.00845259952545166,
0.008453880310058594,
0.008558198928833008,
0.008704758644104004,
0.008624117851257324,
0.008655959129333497,
0.008624917984008789,
0.008603158950805665,
0.008542678833007812,
0.008535320281982423,
0.00847115993499756,
0.008484119415283204,
0.008500759124755859,
0.008482359886169433,
0.008447159767150879,
0.008480439186096192,
0.008434679985046387,
0.00847067928314209,
0.008665718078613282,
0.008618199348449707,
0.008580759048461914,
0.008534038543701172,
0.008516279220581055,
0.008587799072265624,
0.008547639846801758,
0.008528920173645019,
0.008558999061584473,
0.008512920379638671,
0.008469400405883789,
0.008454198837280274,
0.008461239814758301,
0.008440759658813477,
0.008403800010681152,
0.008494839668273926,
0.00868699836730957,
0.008632119178771974,
0.008529239654541016,
0.008599159240722656,
0.008670838356018066,
0.008696599006652832,
0.008760119438171387,
0.008646839141845703,
0.008602039337158203,
0.008587638854980468,
0.00858267879486084,
0.008473719596862793,
0.008411640167236329,
0.008435640335083008,
0.008384599685668945,
0.008411160469055176,
0.008354200363159179,
0.008430039405822754,
0.00843723964691162,
0.008421238899230956,
0.00838107967376709,
0.008364279747009278,
0.008353879928588867,
0.008582999229431152,
0.008797238349914551,
0.008628438949584961,
0.008536918640136719,
0.008514199256896973,
0.008529878616333008,
0.008414360046386718,
0.00836396026611328,
0.00843276023864746,
0.008534198760986328,
0.008554518699645996,
0.008488119125366211,
0.008444600105285645,
0.00843179988861084,
0.008444600105285645,
0.008435319900512696,
0.008452439308166504,
0.008435319900512696,
0.008458998680114746,
0.008475000381469727,
0.00843723964691162,
0.008364919662475587,
0.008508599281311036,
0.008429880142211915,
0.008388119697570801,
0.008360440254211426,
0.008291319847106933,
0.008365240097045899,
0.00835692024230957,
0.008331159591674804,
0.008319319725036621,
0.008302200317382812,
0.008366680145263672,
0.008385720252990723,
0.008398037910461426,
0.008389880180358886,
0.00866507911682129,
0.008480759620666503,
0.008408759117126465,
0.008401399612426757
]
},
"throughput": {
"unit": "samples/s",
"value": 117.80461175983079
},
"energy": null,
"efficiency": null
}
}
}