IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
8b84f47 verified
raw
history blame
10.3 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": "4aa72a2fd35e7d46a674935ffaf335b1c0795600",
"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": 1010.93376,
"max_global_vram": 897.163264,
"max_process_vram": 210205.937664,
"max_reserved": 555.74528,
"max_allocated": 499.443712
},
"latency": {
"unit": "s",
"count": 134,
"total": 0.9998656764030455,
"mean": 0.007461684152261534,
"stdev": 0.0004971610932721274,
"p50": 0.007251110076904297,
"p90": 0.008070372867584228,
"p95": 0.008212717008590697,
"p99": 0.008652484025955198,
"values": [
0.008701587677001953,
0.008023029327392578,
0.00796782922744751,
0.008363987922668457,
0.008552788734436035,
0.008267667770385742,
0.007786870002746582,
0.008210868835449218,
0.008378868103027343,
0.008140949249267579,
0.008052788734436035,
0.007751988887786865,
0.00821614933013916,
0.008136149406433105,
0.008067349433898925,
0.008062708854675292,
0.00804750919342041,
0.00807166862487793,
0.008074069023132324,
0.008085589408874511,
0.00801310920715332,
0.008011988639831543,
0.008034388542175292,
0.007435989856719971,
0.007881749153137206,
0.00803278923034668,
0.007793108940124512,
0.007811349868774414,
0.009252786636352539,
0.008112309455871582,
0.007854548931121827,
0.007867029190063476,
0.007838389873504638,
0.007853909015655518,
0.007838549137115479,
0.007836470127105713,
0.007861749172210693,
0.007874069213867187,
0.007872148990631104,
0.00788366985321045,
0.007862390041351319,
0.007912629127502442,
0.007921908855438232,
0.007911828994750977,
0.007915668964385987,
0.007911509990692138,
0.007882069110870362,
0.007879828929901123,
0.007912949085235595,
0.007843830108642579,
0.0071681499481201175,
0.0070206298828125,
0.007468629837036133,
0.007204629898071289,
0.0069887909889221195,
0.006999989986419678,
0.006991829872131348,
0.007037590980529785,
0.00703423023223877,
0.007021591186523437,
0.007230390071868897,
0.006961430072784424,
0.006951991081237793,
0.0069883098602294925,
0.006951190948486328,
0.007661909103393555,
0.0070159912109375,
0.007008470058441162,
0.00700623083114624,
0.006959031105041504,
0.007019989967346192,
0.006951190948486328,
0.0069713501930236815,
0.007011190891265869,
0.0072398300170898435,
0.006979350090026855,
0.006980950832366943,
0.0069670300483703615,
0.00703295087814331,
0.0069951901435852054,
0.0069771108627319335,
0.007005589962005615,
0.006970070838928223,
0.007000790119171142,
0.007006549835205078,
0.0069771108627319335,
0.006999189853668213,
0.006976150989532471,
0.007016149997711182,
0.007013751029968262,
0.006991030216217041,
0.006967191219329834,
0.0071831908226013185,
0.006999670028686523,
0.007016150951385498,
0.006987349987030029,
0.006972630977630615,
0.006997591018676758,
0.007007190227508545,
0.007006711006164551,
0.007033909797668457,
0.007462230205535889,
0.007902389049530029,
0.007867029190063476,
0.007865270137786866,
0.007862548828125,
0.007875188827514649,
0.007354229927062988,
0.007215670108795166,
0.007325109958648682,
0.007425749778747558,
0.0073607897758483885,
0.007344629764556885,
0.007335669994354248,
0.00726239013671875,
0.007338550090789795,
0.007361589908599853,
0.007187349796295166,
0.007116469860076904,
0.007132630825042724,
0.007115509986877442,
0.00711614990234375,
0.007158390045166016,
0.007093111038208008,
0.007021749973297119,
0.006983191013336182,
0.007006071090698242,
0.006997109889984131,
0.006982710838317871,
0.006969268798828125,
0.006981270790100098,
0.007048789978027344,
0.006977910995483398,
0.007018710136413574
]
},
"throughput": {
"unit": "samples/s",
"value": 134.01800178005576
},
"energy": null,
"efficiency": null
}
}
}