IlyasMoutawwakil's picture
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
8791373 verified
raw
history blame
13.7 kB
{
"config": {
"name": "cuda_inference_transformers_image-classification_google/vit-base-patch16-224",
"backend": {
"name": "pytorch",
"version": "2.3.1+cu121",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "image-classification",
"library": "transformers",
"model": "google/vit-base-patch16-224",
"processor": "google/vit-base-patch16-224",
"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,
"latency": true,
"memory": 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": 66697.293824,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.219-208.866.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": "0.2.1",
"optimum_benchmark_commit": null,
"transformers_version": "4.42.3",
"transformers_commit": null,
"accelerate_version": "0.31.0",
"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": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 876.138496,
"max_global_vram": 1057.488896,
"max_process_vram": 0.0,
"max_reserved": 406.847488,
"max_allocated": 363.85792
},
"latency": {
"unit": "s",
"count": 208,
"total": 1.020686345100401,
"mean": 0.0049071458899057835,
"stdev": 9.273250811312916e-05,
"p50": 0.0048527359962463375,
"p90": 0.005062655925750732,
"p95": 0.005093836808204651,
"p99": 0.005144903755187989,
"values": [
0.005436416149139404,
0.005108736038208008,
0.004892672061920166,
0.0049827837944030765,
0.004989952087402344,
0.005098495960235596,
0.0051036162376403805,
0.005105663776397705,
0.005150720119476319,
0.005075967788696289,
0.004884479999542236,
0.00506060791015625,
0.004898816108703613,
0.004971519947052002,
0.005057536125183106,
0.005062655925750732,
0.0049530878067016604,
0.004894720077514648,
0.0048496642112731934,
0.004881408214569092,
0.004952064037322998,
0.005030911922454834,
0.005061632156372071,
0.005022719860076904,
0.005146624088287354,
0.005029888153076172,
0.005024767875671386,
0.004959231853485108,
0.0051036162376403805,
0.005079040050506592,
0.0050657281875610355,
0.005085184097290039,
0.0050657281875610355,
0.00510975980758667,
0.004986879825592041,
0.005024767875671386,
0.00502784013748169,
0.004874239921569825,
0.004858880043029785,
0.004847616195678711,
0.004848639965057373,
0.0048496642112731934,
0.0048496642112731934,
0.004900864124298096,
0.00491315221786499,
0.00497049617767334,
0.00496127986907959,
0.004933631896972656,
0.005054463863372802,
0.00506879997253418,
0.005064703941345215,
0.005045248031616211,
0.005104640007019043,
0.00501145601272583,
0.004844543933868409,
0.004842495918273926,
0.004846591949462891,
0.004844543933868409,
0.0048455681800842285,
0.0049500160217285155,
0.0050032639503479,
0.004976640224456787,
0.00487116813659668,
0.004955135822296143,
0.0049489917755126955,
0.004999167919158935,
0.0050421757698059086,
0.004882431983947754,
0.004904960155487061,
0.0049489917755126955,
0.004966400146484375,
0.004926464080810547,
0.004944896221160889,
0.0049090561866760255,
0.004971519947052002,
0.004994048118591309,
0.005062655925750732,
0.005122047901153564,
0.005073919773101807,
0.005062655925750732,
0.005033984184265137,
0.005037055969238281,
0.004994048118591309,
0.0048558077812194825,
0.004848639965057373,
0.004853759765625,
0.004905983924865722,
0.004853759765625,
0.004881408214569092,
0.004847616195678711,
0.004850687980651855,
0.0048527359962463375,
0.0048496642112731934,
0.004847616195678711,
0.0048496642112731934,
0.004851712226867676,
0.004851712226867676,
0.0048527359962463375,
0.00485478401184082,
0.004851712226867676,
0.004851712226867676,
0.004850687980651855,
0.0048496642112731934,
0.0048527359962463375,
0.0048527359962463375,
0.0048527359962463375,
0.004853759765625,
0.004848639965057373,
0.004853759765625,
0.004851712226867676,
0.004851712226867676,
0.004850687980651855,
0.0048496642112731934,
0.0048496642112731934,
0.0048558077812194825,
0.0048496642112731934,
0.004851712226867676,
0.004851712226867676,
0.004850687980651855,
0.004847616195678711,
0.004850687980651855,
0.004851712226867676,
0.004851712226867676,
0.0048496642112731934,
0.0048527359962463375,
0.0048496642112731934,
0.00485478401184082,
0.004853759765625,
0.004850687980651855,
0.0048496642112731934,
0.004853759765625,
0.0048527359962463375,
0.004850687980651855,
0.0048527359962463375,
0.004853759765625,
0.004850687980651855,
0.00485478401184082,
0.00485478401184082,
0.0048527359962463375,
0.004853759765625,
0.00485478401184082,
0.004851712226867676,
0.0048527359962463375,
0.004850687980651855,
0.004850687980651855,
0.004850687980651855,
0.004851712226867676,
0.004853759765625,
0.00485478401184082,
0.004850687980651855,
0.0048496642112731934,
0.0048496642112731934,
0.004850687980651855,
0.004850687980651855,
0.0048496642112731934,
0.004850687980651855,
0.0048527359962463375,
0.0048496642112731934,
0.004848639965057373,
0.004853759765625,
0.004851712226867676,
0.0048496642112731934,
0.004848639965057373,
0.004851712226867676,
0.004847616195678711,
0.004851712226867676,
0.004847616195678711,
0.004848639965057373,
0.0048496642112731934,
0.004851712226867676,
0.004851712226867676,
0.0048496642112731934,
0.004848639965057373,
0.004851712226867676,
0.004848639965057373,
0.004853759765625,
0.004850687980651855,
0.004851712226867676,
0.004848639965057373,
0.004850687980651855,
0.004851712226867676,
0.0048496642112731934,
0.0048496642112731934,
0.004851712226867676,
0.004850687980651855,
0.0048496642112731934,
0.004848639965057373,
0.004847616195678711,
0.0048496642112731934,
0.004850687980651855,
0.004850687980651855,
0.004850687980651855,
0.004851712226867676,
0.004850687980651855,
0.0048496642112731934,
0.004853759765625,
0.004851712226867676,
0.004853759765625,
0.0048455681800842285,
0.004851712226867676,
0.004851712226867676,
0.0048496642112731934,
0.004853759765625,
0.004851712226867676,
0.0048496642112731934,
0.00485478401184082,
0.0048527359962463375,
0.004848639965057373
]
},
"throughput": {
"unit": "samples/s",
"value": 203.7844446518381
},
"energy": {
"unit": "kWh",
"cpu": 5.753525929131098e-08,
"ram": 3.1459716813267276e-08,
"gpu": 3.457196161981139e-07,
"total": 4.347145923026922e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 2300359.863014902
}
}
}
}