IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
4f715f4 verified
raw
history blame
8.75 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": {},
"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 7643 48-Core Processor",
"cpu_count": 96,
"cpu_ram_mb": 1082028.982272,
"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": "0.4.0",
"optimum_benchmark_commit": "d662120356cf9cce87fb802aea1c49ce74710c29",
"transformers_version": "4.43.3",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.29.2",
"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": 892.104704,
"max_global_vram": 1334.153216,
"max_process_vram": 41739.399168,
"max_reserved": 773.849088,
"max_allocated": 736.603648
},
"latency": {
"unit": "s",
"count": 1,
"total": 6.84687646484375,
"mean": 6.84687646484375,
"stdev": 0.0,
"p50": 6.84687646484375,
"p90": 6.84687646484375,
"p95": 6.84687646484375,
"p99": 6.84687646484375,
"values": [
6.84687646484375
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1036.98432,
"max_global_vram": 2135.392256,
"max_process_vram": 268029.763584,
"max_reserved": 773.849088,
"max_allocated": 745.086976
},
"latency": {
"unit": "s",
"count": 76,
"total": 1.004804394721985,
"mean": 0.013221110456868223,
"stdev": 0.0014305468698743364,
"p50": 0.012773332118988037,
"p90": 0.014631819248199462,
"p95": 0.01712046909332275,
"p99": 0.01783823299407959,
"values": [
0.013597174644470215,
0.013109972953796387,
0.012988052368164062,
0.012956691741943359,
0.01283701229095459,
0.012728852272033691,
0.012663731575012207,
0.012487250328063965,
0.012600690841674804,
0.019552080154418946,
0.012733331680297852,
0.014595739364624024,
0.01725143051147461,
0.017266950607299804,
0.01717302894592285,
0.017042787551879882,
0.01704486846923828,
0.017102949142456053,
0.014667899131774902,
0.012956531524658203,
0.012770292282104492,
0.0128922119140625,
0.012916051864624023,
0.01282341194152832,
0.012941332817077636,
0.012892051696777344,
0.012920533180236816,
0.012869651794433595,
0.012955733299255371,
0.013004532814025879,
0.012907571792602539,
0.012923892974853515,
0.012959572792053222,
0.012908053398132325,
0.012733490943908691,
0.012518771171569824,
0.012776371955871581,
0.012898773193359374,
0.012779091835021973,
0.012336050033569336,
0.012352049827575684,
0.01243109130859375,
0.012422450065612793,
0.01265061092376709,
0.012665170669555664,
0.012666291236877441,
0.012636691093444825,
0.012669330596923828,
0.012692212104797363,
0.01268965244293213,
0.012779252052307129,
0.012672531127929687,
0.012705012321472168,
0.012814452171325683,
0.012718771934509277,
0.01272533130645752,
0.01279989242553711,
0.012830772399902345,
0.012782611846923829,
0.012716370582580567,
0.012792692184448243,
0.012764211654663085,
0.012968852996826171,
0.012714451789855957,
0.012489330291748047,
0.01247173023223877,
0.012508851051330566,
0.012511731147766113,
0.012552050590515137,
0.012420530319213868,
0.012413649559020997,
0.012405328750610352,
0.012612852096557617,
0.012569491386413573,
0.01255333137512207,
0.012550291061401367
]
},
"throughput": {
"unit": "samples/s",
"value": 75.6366118611853
},
"energy": null,
"efficiency": null
}
}
}