IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
5b21681 verified
raw
history blame
9.14 kB
{
"config": {
"name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
"backend": {
"name": "pytorch",
"version": "2.4.0+cu121",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "token-classification",
"library": "transformers",
"model_type": "deberta-v2",
"model": "microsoft/deberta-v3-base",
"processor": "microsoft/deberta-v3-base",
"device": "cuda",
"device_ids": "0",
"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": true,
"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 7R32",
"cpu_count": 16,
"cpu_ram_mb": 66697.25696,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"NVIDIA A10G"
],
"gpu_count": 1,
"gpu_vram_mb": 24146608128,
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.44.0",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.8",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 751.251456,
"max_global_vram": 1403.518976,
"max_process_vram": 0.0,
"max_reserved": 773.849088,
"max_allocated": 736.603648
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.401595703125,
"mean": 7.401595703125,
"stdev": 0.0,
"p50": 7.401595703125,
"p90": 7.401595703125,
"p95": 7.401595703125,
"p99": 7.401595703125,
"values": [
7.401595703125
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.0919329854169905e-06,
"ram": 5.77506647268745e-07,
"gpu": 1.8244459040004518e-06,
"total": 3.493885536686187e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1034.248192,
"max_global_vram": 1434.976256,
"max_process_vram": 0.0,
"max_reserved": 794.820608,
"max_allocated": 753.606656
},
"latency": {
"unit": "s",
"count": 75,
"total": 1.0017148504257203,
"mean": 0.01335619800567627,
"stdev": 0.00030535898245113177,
"p50": 0.013347840309143067,
"p90": 0.013560831832885742,
"p95": 0.01369057264328003,
"p99": 0.014558044013977051,
"values": [
0.014735360145568848,
0.014495743751525878,
0.014382080078125,
0.01316051197052002,
0.013046784400939941,
0.013347840309143067,
0.013405183792114257,
0.013343744277954102,
0.013401087760925292,
0.013370368003845215,
0.0132741117477417,
0.013305855751037597,
0.01326796817779541,
0.012818431854248047,
0.013081600189208984,
0.013248512268066406,
0.013208576202392578,
0.013012991905212403,
0.013273088455200196,
0.013317119598388672,
0.013322239875793456,
0.013217791557312012,
0.01318502426147461,
0.01337446403503418,
0.013442048072814941,
0.013125632286071777,
0.012912608146667481,
0.012922880172729492,
0.012930047988891602,
0.013354047775268555,
0.01337548828125,
0.013427712440490723,
0.013415424346923829,
0.013373439788818359,
0.013352959632873536,
0.013428735733032226,
0.01340006446838379,
0.013306879997253418,
0.013399040222167969,
0.013355008125305176,
0.01338265609741211,
0.013338624000549316,
0.013599743843078613,
0.013489151954650879,
0.013330431938171386,
0.013381600379943848,
0.013364224433898926,
0.013348863601684571,
0.013504511833190918,
0.013543423652648925,
0.013517824172973633,
0.01366323184967041,
0.013545472145080567,
0.013571071624755859,
0.0135731201171875,
0.01339395236968994,
0.013347840309143067,
0.013331487655639648,
0.013282303810119628,
0.01325977611541748,
0.013231103897094726,
0.013312000274658203,
0.013327391624450683,
0.013366304397583007,
0.013393919944763183,
0.013021151542663574,
0.012955648422241211,
0.012867584228515624,
0.012867584228515624,
0.013365247726440429,
0.01375436782836914,
0.01349120044708252,
0.013278207778930663,
0.013298687934875488,
0.013296640396118165
]
},
"throughput": {
"unit": "samples/s",
"value": 74.87160639390106
},
"energy": {
"unit": "kWh",
"cpu": 1.591881818055617e-07,
"ram": 8.684815353255269e-08,
"gpu": 3.4704472208000697e-07,
"total": 5.930810574181213e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 1686110.165705396
}
}
}
}