IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
f6e57d4 verified
raw
history blame
11.9 kB
{
"config": {
"name": "cuda_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.1+rocm5.7",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"library": "transformers",
"model_type": "roberta",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"device": "cuda",
"device_ids": "5",
"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": "warn",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 128,
"cpu_ram_mb": 1082015.256576,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-101-generic-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]"
],
"gpu_count": 8,
"gpu_vram_mb": 549621596160,
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.34.2",
"accelerate_commit": null,
"diffusers_version": "0.30.3",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": "0.12.0",
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 1078.64064,
"max_global_vram": 68702.69952,
"max_process_vram": 47922.25792,
"max_reserved": 555.74528,
"max_allocated": 499.374592
},
"latency": {
"unit": "s",
"count": 1,
"total": 8.169423828125,
"mean": 8.169423828125,
"stdev": 0.0,
"p50": 8.169423828125,
"p90": 8.169423828125,
"p95": 8.169423828125,
"p99": 8.169423828125,
"values": [
8.169423828125
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1195.720704,
"max_global_vram": 68702.69952,
"max_process_vram": 222362.963968,
"max_reserved": 555.74528,
"max_allocated": 499.4432
},
"latency": {
"unit": "s",
"count": 141,
"total": 0.99666288971901,
"mean": 0.007068531132758932,
"stdev": 0.0012702802014524916,
"p50": 0.0068404641151428225,
"p90": 0.007661901950836182,
"p95": 0.0077156610488891605,
"p99": 0.011647619819641098,
"values": [
0.007620141983032226,
0.007455821990966797,
0.007517101764678955,
0.007464302062988281,
0.007304302215576172,
0.0072211031913757325,
0.007220781803131103,
0.007375983238220215,
0.00719230318069458,
0.007043343067169189,
0.007070383071899414,
0.007033742904663086,
0.007027663230895996,
0.007007183074951172,
0.01814203643798828,
0.002334873914718628,
0.004799028873443603,
0.006910383224487305,
0.006920302867889404,
0.006880623817443848,
0.006923822879791259,
0.00690558385848999,
0.006912943840026856,
0.006921903133392334,
0.0068929438591003415,
0.006853902816772461,
0.006885424137115479,
0.006882863998413086,
0.006858063220977783,
0.007009424209594726,
0.006927823066711426,
0.009965895652770996,
0.006992783069610596,
0.006813744068145752,
0.006829583168029786,
0.00679582405090332,
0.006801743030548096,
0.006809103965759278,
0.0067841439247131345,
0.006791182994842529,
0.00679966402053833,
0.006806222915649414,
0.006809423923492432,
0.007103823184967041,
0.006837422847747803,
0.006822703838348388,
0.006817742824554444,
0.006809584140777588,
0.006815504074096679,
0.006805744171142578,
0.006815983772277832,
0.006821262836456299,
0.006856783866882325,
0.0068113431930541994,
0.006835824012756348,
0.006848783016204834,
0.006801583766937256,
0.006808303833007813,
0.006845744132995606,
0.00680350399017334,
0.006796463012695313,
0.006823823928833008,
0.006943182945251465,
0.006907662868499756,
0.006835984230041504,
0.00684030294418335,
0.006849103927612304,
0.0068331041336059575,
0.006841904163360596,
0.0068268637657165525,
0.006853583812713623,
0.006785103797912598,
0.0067923030853271485,
0.0068121438026428225,
0.006834222793579102,
0.00679918384552002,
0.00681054401397705,
0.0068350229263305666,
0.006833263874053955,
0.0068046231269836424,
0.006867824077606201,
0.006789422988891601,
0.006795023918151856,
0.006879343032836914,
0.006835984230041504,
0.006780144214630127,
0.006801263809204101,
0.006806863784790039,
0.006813262939453125,
0.0068262238502502445,
0.0068259029388427735,
0.006828944206237793,
0.006821104049682617,
0.006836624145507813,
0.006863503932952881,
0.006837423801422119,
0.006809584140777588,
0.0068137431144714355,
0.006846223831176758,
0.006835342884063721,
0.006809904098510742,
0.006808302879333496,
0.006801583766937256,
0.0068404641151428225,
0.0068171038627624515,
0.006835823059082031,
0.006801583766937256,
0.006790544033050537,
0.006847823143005371,
0.0068001441955566405,
0.012768769264221191,
0.002311194896697998,
0.006708302974700928,
0.006807184219360352,
0.0068617439270019535,
0.006836304187774658,
0.007211503028869629,
0.007657260894775391,
0.007661901950836182,
0.007728940963745117,
0.00708430290222168,
0.007218382835388184,
0.007434542179107666,
0.007660941123962402,
0.007636462211608887,
0.007821101188659668,
0.007667341232299805,
0.007693582057952881,
0.0077156610488891605,
0.007666862010955811,
0.007734860897064209,
0.007809580802917481,
0.007714861869812011,
0.007706861019134522,
0.0076807808876037595,
0.007641100883483886,
0.007612621784210205,
0.007632781982421875,
0.00732222318649292,
0.006760784149169922,
0.006791664123535156
]
},
"throughput": {
"unit": "samples/s",
"value": 141.47210802616755
},
"energy": null,
"efficiency": null
}
}
}