IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
4f0e386 verified
raw
history blame
8.99 kB
{
"config": {
"name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
"backend": {
"name": "pytorch",
"version": "2.4.1+cu124",
"_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": 66697.261056,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.223-212.873.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": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.34.0",
"accelerate_commit": null,
"diffusers_version": "0.30.2",
"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": 798.547968,
"max_global_vram": 1403.518976,
"max_process_vram": 0.0,
"max_reserved": 773.849088,
"max_allocated": 736.603648
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.8518486328125,
"mean": 7.8518486328125,
"stdev": 0.0,
"p50": 7.8518486328125,
"p90": 7.8518486328125,
"p95": 7.8518486328125,
"p99": 7.8518486328125,
"values": [
7.8518486328125
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 9.231523576388333e-07,
"ram": 4.901236632346289e-07,
"gpu": 1.5875012699994098e-06,
"total": 3.000777290872872e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1186.4064,
"max_global_vram": 1434.976256,
"max_process_vram": 0.0,
"max_reserved": 794.820608,
"max_allocated": 753.606656
},
"latency": {
"unit": "s",
"count": 71,
"total": 1.00025657749176,
"mean": 0.014088120809743102,
"stdev": 0.0004357210544172913,
"p50": 0.014225407600402832,
"p90": 0.014425087928771972,
"p95": 0.01448857593536377,
"p99": 0.0151612416267395,
"values": [
0.01547878360748291,
0.015025152206420898,
0.015017984390258789,
0.014148608207702636,
0.013537280082702637,
0.013394944190979004,
0.013442048072814941,
0.013407232284545899,
0.013331456184387207,
0.013421600341796874,
0.013396991729736327,
0.013476863861083984,
0.013452287673950195,
0.013505536079406738,
0.01354751968383789,
0.01348300838470459,
0.013412351608276368,
0.013441056251525878,
0.013501472473144531,
0.013423616409301758,
0.013415424346923829,
0.013502464294433594,
0.013443072319030762,
0.014062591552734375,
0.014279680252075195,
0.014334976196289062,
0.014239680290222169,
0.014225407600402832,
0.014331904411315918,
0.0142674560546875,
0.01437388801574707,
0.014445568084716797,
0.014382080078125,
0.014301152229309081,
0.014245887756347657,
0.014262271881103515,
0.014222335815429688,
0.014283743858337403,
0.014238719940185546,
0.014245887756347657,
0.014301183700561524,
0.014216192245483398,
0.014253055572509766,
0.01428172779083252,
0.014246912002563476,
0.014228480339050293,
0.01427353572845459,
0.014255104064941406,
0.014233599662780762,
0.014225407600402832,
0.014202848434448242,
0.014425087928771972,
0.014367744445800782,
0.01447116756439209,
0.01450598430633545,
0.014460895538330078,
0.014402591705322265,
0.014276608467102051,
0.014246912002563476,
0.014230527877807618,
0.014179327964782714,
0.014179327964782714,
0.014199808120727539,
0.014223423957824707,
0.014178303718566895,
0.014201855659484864,
0.014217215538024902,
0.01420902442932129,
0.014213120460510254,
0.014213120460510254,
0.014186495780944825
]
},
"throughput": {
"unit": "samples/s",
"value": 70.98178767095872
},
"energy": {
"unit": "kWh",
"cpu": 1.5888565232407517e-07,
"ram": 8.659802661715813e-08,
"gpu": 3.311261908266657e-07,
"total": 5.766098697678989e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 1734274.8579772438
}
}
}
}