IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
d8267af verified
raw
history blame
11.6 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": "6",
"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": 1079.123968,
"max_global_vram": 68702.69952,
"max_process_vram": 54349.582336,
"max_reserved": 555.74528,
"max_allocated": 499.374592
},
"latency": {
"unit": "s",
"count": 1,
"total": 16.21314453125,
"mean": 16.21314453125,
"stdev": 0.0,
"p50": 16.21314453125,
"p90": 16.21314453125,
"p95": 16.21314453125,
"p99": 16.21314453125,
"values": [
16.21314453125
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1196.126208,
"max_global_vram": 68702.69952,
"max_process_vram": 235198.844928,
"max_reserved": 555.74528,
"max_allocated": 499.4432
},
"latency": {
"unit": "s",
"count": 135,
"total": 0.9998540499210355,
"mean": 0.007406326295711375,
"stdev": 0.0018621235977532924,
"p50": 0.007307690143585205,
"p90": 0.0078577054977417,
"p95": 0.007898106193542481,
"p99": 0.01715603702545166,
"values": [
0.007468648910522461,
0.007449289798736572,
0.007478408813476563,
0.007652969837188721,
0.0076022491455078126,
0.007453609943389892,
0.0074952092170715336,
0.007819530010223388,
0.007842889785766602,
0.007837289810180665,
0.007799049854278564,
0.007822569847106933,
0.007816810131072998,
0.007789770126342774,
0.007813768863677979,
0.007836490154266358,
0.007839529991149903,
0.00786097002029419,
0.007871530055999755,
0.007864970207214356,
0.007897290229797363,
0.0078051300048828124,
0.00785329008102417,
0.007879209995269776,
0.007849609851837159,
0.0078331298828125,
0.007575209140777588,
0.007360488891601563,
0.007448968887329102,
0.007398088932037353,
0.007900010108947754,
0.007901130199432373,
0.007874889850616455,
0.00792800998687744,
0.007365449905395508,
0.007288969039916992,
0.007376648902893066,
0.007327369213104248,
0.019017303466796875,
0.002368803024291992,
0.002199043035507202,
0.006098567962646484,
0.007136649131774903,
0.006951848983764649,
0.006932648181915283,
0.006926888942718506,
0.006942089080810547,
0.0074180889129638675,
0.007101288795471191,
0.0071715288162231446,
0.007262729167938233,
0.007254408836364746,
0.007261768817901611,
0.007405609130859375,
0.0071782488822937016,
0.0072382488250732424,
0.007312809944152832,
0.007011689186096191,
0.006980807781219483,
0.0069654488563537596,
0.0069465689659118654,
0.00694960880279541,
0.006999848842620849,
0.007023047924041748,
0.006956647872924804,
0.007001769065856933,
0.006984969139099121,
0.0069678487777709965,
0.006976489067077637,
0.006959847927093506,
0.006996328830718994,
0.0069465689659118654,
0.006941928863525391,
0.006921928882598877,
0.006951047897338867,
0.006913128852844238,
0.016978099822998048,
0.002290721893310547,
0.002653764009475708,
0.007022569179534912,
0.006963687896728516,
0.007307690143585205,
0.007761289119720459,
0.007860649108886718,
0.00768848991394043,
0.007793769836425781,
0.007751689910888672,
0.007516489028930664,
0.007262248992919922,
0.007215848922729492,
0.0071368088722229,
0.007162569046020507,
0.007368168830871582,
0.0069324889183044434,
0.00692336893081665,
0.006910408020019531,
0.00714448881149292,
0.00694304895401001,
0.0069368090629577635,
0.006921608924865722,
0.007181929111480713,
0.00718096923828125,
0.006936169147491455,
0.006925288200378418,
0.007123048782348633,
0.006910888195037842,
0.006926408767700195,
0.006913128852844238,
0.006923367977142334,
0.006921127796173095,
0.006943209171295166,
0.006935049057006836,
0.007029609203338623,
0.007794250011444092,
0.00782176923751831,
0.007837609767913818,
0.007503210067749023,
0.007146248817443848,
0.007768809795379639,
0.007828010082244872,
0.007804169178009033,
0.007780489921569825,
0.017247701644897463,
0.00244096302986145,
0.008084489822387695,
0.007664649963378906,
0.007585450172424317,
0.007667849063873291,
0.007819369792938232,
0.007649129867553711,
0.007740970134735107,
0.007687688827514649,
0.007606089115142822,
0.0072640089988708495,
0.00696160888671875
]
},
"throughput": {
"unit": "samples/s",
"value": 135.0197061367724
},
"energy": null,
"efficiency": null
}
}
}