IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
f83e9e7 verified
raw
history blame
9.2 kB
{
"config": {
"name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
"backend": {
"name": "pytorch",
"version": "2.3.1+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": "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": 1082014.482432,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-122-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": "0.5.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.45.2",
"transformers_commit": null,
"accelerate_version": "1.0.0",
"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": "0.13.0",
"peft_commit": null
},
"print_report": true,
"log_report": true
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 1113.812992,
"max_global_vram": 68702.69952,
"max_process_vram": 4222.029824,
"max_reserved": 773.849088,
"max_allocated": 736.603648
},
"latency": {
"unit": "s",
"values": [
0.07348367309570313
],
"count": 1,
"total": 0.07348367309570313,
"mean": 0.07348367309570313,
"p50": 0.07348367309570313,
"p90": 0.07348367309570313,
"p95": 0.07348367309570313,
"p99": 0.07348367309570313,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1249.902592,
"max_global_vram": 68702.69952,
"max_process_vram": 309969.412096,
"max_reserved": 773.849088,
"max_allocated": 745.086976
},
"latency": {
"unit": "s",
"values": [
0.014592350006103516,
0.014352829933166503,
0.014455069541931152,
0.014211230278015137,
0.014233469009399414,
0.014418429374694824,
0.01430690860748291,
0.014284509658813477,
0.014272990226745606,
0.014276188850402832,
0.014322749137878418,
0.013233468055725098,
0.013266427040100098,
0.013572347640991212,
0.013607547760009766,
0.013937149047851562,
0.014556670188903808,
0.014398590087890625,
0.014332509994506836,
0.014314109802246094,
0.014343230247497559,
0.013998748779296875,
0.01325138759613037,
0.01318674659729004,
0.01320450782775879,
0.013646588325500489,
0.01321442699432373,
0.013297467231750489,
0.013221628189086914,
0.01349746799468994,
0.012619706153869628,
0.012672986030578613,
0.012790586471557617,
0.012855546951293945,
0.012612345695495606,
0.012888027191162109,
0.012632665634155273,
0.014308029174804688,
0.014380189895629883,
0.013914909362792969,
0.013553627967834473,
0.01319186782836914,
0.012924826622009278,
0.013820829391479493,
0.014735389709472656,
0.014807391166687011,
0.014291230201721192,
0.013708988189697265,
0.013991708755493165,
0.013662748336791992,
0.013510587692260743,
0.013750268936157226,
0.013413787841796875,
0.013566588401794434,
0.013387067794799805,
0.013962268829345703,
0.013618428230285645,
0.013247227668762207,
0.013425627708435058,
0.012943866729736329,
0.013244827270507813,
0.012817466735839844,
0.0128109073638916,
0.013009146690368652,
0.01268194580078125,
0.012707226753234864,
0.012712185859680175,
0.012705145835876465,
0.012932186126708984,
0.012947226524353027,
0.012700666427612304,
0.012693945884704589,
0.012972347259521485,
0.01292402744293213
],
"count": 74,
"total": 1.0028563165664672,
"mean": 0.01355211238603334,
"p50": 0.013504027843475342,
"p90": 0.014371981906890869,
"p95": 0.014490629768371581,
"p99": 0.014754830102920532,
"stdev": 0.0006400903398916058,
"stdev_": 4.723177624702079
},
"throughput": {
"unit": "samples/s",
"value": 73.78923458682273
},
"energy": null,
"efficiency": null
}
}
}