IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
fc7b23e verified
raw
history blame
8.95 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": 1082015.256576,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-101-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": "0.4.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.34.2",
"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": "0.12.0",
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 1091.858432,
"max_global_vram": 68702.69952,
"max_process_vram": 44555.821056,
"max_reserved": 773.849088,
"max_allocated": 736.603648
},
"latency": {
"unit": "s",
"count": 1,
"total": 11.123650390625,
"mean": 11.123650390625,
"stdev": 0.0,
"p50": 11.123650390625,
"p90": 11.123650390625,
"p95": 11.123650390625,
"p99": 11.123650390625,
"values": [
11.123650390625
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1225.867264,
"max_global_vram": 68702.69952,
"max_process_vram": 325549.244416,
"max_reserved": 773.849088,
"max_allocated": 745.086976
},
"latency": {
"unit": "s",
"count": 72,
"total": 1.009400484085083,
"mean": 0.014019451167848375,
"stdev": 0.005026054616798768,
"p50": 0.01310617685317993,
"p90": 0.014403761959075927,
"p95": 0.014579634428024292,
"p99": 0.030332066516876442,
"values": [
0.013977136611938477,
0.014293938636779786,
0.014031858444213867,
0.013597777366638183,
0.014726099014282226,
0.01333057689666748,
0.012748175621032715,
0.012795376777648925,
0.012976816177368164,
0.01347153663635254,
0.012771697044372558,
0.012832816123962403,
0.01297841739654541,
0.01281937599182129,
0.013117616653442382,
0.012810895919799805,
0.05553335189819336,
0.013463697433471679,
0.013484818458557129,
0.01459793758392334,
0.014564659118652344,
0.014340818405151367,
0.013743698120117187,
0.013693937301635742,
0.013055216789245606,
0.013164656639099121,
0.012792495727539063,
0.012764336585998536,
0.01278433609008789,
0.012915375709533692,
0.01275809669494629,
0.012759696006774903,
0.012789776802062988,
0.013811057090759277,
0.014426898956298829,
0.01413233757019043,
0.01282737636566162,
0.012763216018676757,
0.012785136222839355,
0.01281009578704834,
0.013124176979064942,
0.012836175918579102,
0.012810736656188966,
0.012793135643005372,
0.012802577018737793,
0.013170096397399902,
0.01281473731994629,
0.020038583755493163,
0.012858576774597168,
0.012847536087036133,
0.013248336791992188,
0.013020977020263672,
0.012820816040039063,
0.01304721736907959,
0.013376337051391601,
0.01309473705291748,
0.012732815742492676,
0.01277569580078125,
0.014404337882995605,
0.01433201789855957,
0.014246738433837891,
0.01345185661315918,
0.013561137199401855,
0.01368305778503418,
0.014271537780761718,
0.014442097663879395,
0.014398578643798829,
0.014389777183532714,
0.013092817306518555,
0.013197776794433593,
0.012835856437683105,
0.012836496353149414
]
},
"throughput": {
"unit": "samples/s",
"value": 71.32946846687967
},
"energy": null,
"efficiency": null
}
}
}