IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
63d7f8e verified
raw
history blame
8.65 kB
{
"config": {
"name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
"backend": {
"name": "pytorch",
"version": "2.2.2+rocm5.7",
"_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": {},
"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,
"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": "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": "0.3.1",
"optimum_benchmark_commit": "33013b51e0268a2fd7f07c903783b994ac1e0021",
"transformers_version": "4.42.4",
"transformers_commit": null,
"accelerate_version": "0.32.1",
"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": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 889.708544,
"max_global_vram": 1059.889152,
"max_process_vram": 45589.44256,
"max_reserved": 773.849088,
"max_allocated": 736.605184
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.07100830078125,
"mean": 7.07100830078125,
"stdev": 0.0,
"p50": 7.07100830078125,
"p90": 7.07100830078125,
"p95": 7.07100830078125,
"p99": 7.07100830078125,
"values": [
7.07100830078125
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1034.358784,
"max_global_vram": 1122.816,
"max_process_vram": 274592.354304,
"max_reserved": 773.849088,
"max_allocated": 745.086976
},
"latency": {
"unit": "s",
"count": 73,
"total": 0.9995602931976323,
"mean": 0.013692606756131941,
"stdev": 0.00047439090992711384,
"p50": 0.01354798412322998,
"p90": 0.014277775955200194,
"p95": 0.01473703861236572,
"p99": 0.015275746574401856,
"values": [
0.014588942527770996,
0.014099184036254883,
0.013990384101867676,
0.014129103660583496,
0.013911664009094238,
0.014111662864685058,
0.01372142505645752,
0.013780303955078125,
0.013570223808288574,
0.013745583534240723,
0.013547184944152833,
0.013732943534851074,
0.01358510398864746,
0.015240623474121093,
0.01385934352874756,
0.01354798412322998,
0.013332625389099122,
0.013540143966674805,
0.013375024795532226,
0.013747023582458497,
0.013635663986206055,
0.013458544731140137,
0.013349264144897462,
0.013490385055541992,
0.013344944953918457,
0.013476625442504882,
0.013476625442504882,
0.013324945449829102,
0.013271184921264648,
0.013602383613586426,
0.013242864608764648,
0.013321425437927246,
0.013274225234985351,
0.013589264869689942,
0.013265583992004394,
0.013351024627685547,
0.013529104232788086,
0.013326544761657715,
0.013302064895629883,
0.013501104354858398,
0.013296625137329102,
0.0132551851272583,
0.013580623626708985,
0.013370224952697754,
0.013557583808898925,
0.013595664024353027,
0.013348304748535156,
0.013327025413513183,
0.01330174446105957,
0.013304784774780273,
0.013262064933776855,
0.013742383956909179,
0.013290704727172852,
0.013375663757324218,
0.01327646541595459,
0.013338865280151367,
0.013289584159851073,
0.013790064811706543,
0.013310704231262207,
0.014335344314575196,
0.0150252628326416,
0.013953583717346191,
0.01408574390411377,
0.015366063117980958,
0.014959182739257813,
0.01387342357635498,
0.014313424110412597,
0.014112784385681152,
0.014135183334350586,
0.01436894416809082,
0.013945262908935547,
0.013643024444580078,
0.01353854465484619
]
},
"throughput": {
"unit": "samples/s",
"value": 73.03211271675288
},
"energy": null,
"efficiency": null
}
}
}