IlyasMoutawwakil's picture
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
528841a verified
raw
history blame
14.9 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_type": "vit",
"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": {},
"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": 66697.293824,
"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": "0.3.1",
"optimum_benchmark_commit": null,
"transformers_version": "4.43.2",
"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": "1.0.7",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 758.099968,
"max_global_vram": 1030.22592,
"max_process_vram": 0.0,
"max_reserved": 400.556032,
"max_allocated": 346.271744
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.2762880859375,
"mean": 7.2762880859375,
"stdev": 0.0,
"p50": 7.2762880859375,
"p90": 7.2762880859375,
"p95": 7.2762880859375,
"p99": 7.2762880859375,
"values": [
7.2762880859375
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.6399976280000477e-06,
"ram": 8.831284365156004e-07,
"gpu": 1.795279214001494e-06,
"total": 4.3184052785171415e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 890.662912,
"max_global_vram": 1057.488896,
"max_process_vram": 0.0,
"max_reserved": 406.847488,
"max_allocated": 363.853824
},
"latency": {
"unit": "s",
"count": 211,
"total": 1.0311744999885557,
"mean": 0.0048870829383343885,
"stdev": 6.441736947363168e-05,
"p50": 0.004873216152191162,
"p90": 0.0048793601989746095,
"p95": 0.004977663993835449,
"p99": 0.005155868959426881,
"values": [
0.005221375942230225,
0.0050135040283203125,
0.0050503678321838375,
0.004983808040618896,
0.0049909758567810054,
0.005054463863372802,
0.00497049617767334,
0.004935679912567138,
0.004944896221160889,
0.004964352130889893,
0.004981760025024414,
0.005033984184265137,
0.0051671361923217776,
0.005575679779052735,
0.0049530878067016604,
0.004866047859191895,
0.004865024089813232,
0.004867072105407715,
0.00487116813659668,
0.004867072105407715,
0.004868095874786377,
0.004876287937164306,
0.004877312183380127,
0.0048793601989746095,
0.004874239921569825,
0.004873216152191162,
0.0048763518333435054,
0.00487014389038086,
0.00487116813659668,
0.00487116813659668,
0.004877312183380127,
0.004872191905975342,
0.0048752641677856446,
0.004873216152191162,
0.004869120121002197,
0.00487116813659668,
0.004876287937164306,
0.0048752641677856446,
0.004873216152191162,
0.004877312183380127,
0.004877312183380127,
0.00487014389038086,
0.004872191905975342,
0.0048752641677856446,
0.004874239921569825,
0.004874271869659424,
0.004874239921569825,
0.004876287937164306,
0.004872191905975342,
0.0048752641677856446,
0.004876287937164306,
0.004873216152191162,
0.004873216152191162,
0.004874239921569825,
0.004872191905975342,
0.004876287937164306,
0.0048752641677856446,
0.004872191905975342,
0.004873216152191162,
0.004872191905975342,
0.0048752641677856446,
0.004872191905975342,
0.004873216152191162,
0.004876287937164306,
0.004874239921569825,
0.00487116813659668,
0.004878335952758789,
0.004877312183380127,
0.004876287937164306,
0.004874239921569825,
0.004877312183380127,
0.004873216152191162,
0.004876287937164306,
0.004874239921569825,
0.004872191905975342,
0.0048752641677856446,
0.004874239921569825,
0.0048793601989746095,
0.004874239921569825,
0.00487116813659668,
0.004877312183380127,
0.00487014389038086,
0.004874239921569825,
0.004877312183380127,
0.004876287937164306,
0.004872191905975342,
0.004876287937164306,
0.004874239921569825,
0.004872191905975342,
0.004872191905975342,
0.004876287937164306,
0.004873216152191162,
0.004873216152191162,
0.004873216152191162,
0.004874239921569825,
0.0048752641677856446,
0.0048752641677856446,
0.004876287937164306,
0.004880383968353271,
0.0048752641677856446,
0.004876287937164306,
0.004874239921569825,
0.004873216152191162,
0.004893695831298828,
0.004899839878082276,
0.004894720077514648,
0.00487014389038086,
0.004873216152191162,
0.00487116813659668,
0.00487116813659668,
0.0048752641677856446,
0.004873216152191162,
0.004872191905975342,
0.00487116813659668,
0.004872191905975342,
0.00487014389038086,
0.004868095874786377,
0.004869120121002197,
0.004873216152191162,
0.004874239921569825,
0.004868095874786377,
0.004873216152191162,
0.00487014389038086,
0.004872191905975342,
0.004873216152191162,
0.00487116813659668,
0.004869120121002197,
0.004873216152191162,
0.004872191905975342,
0.004874239921569825,
0.004868095874786377,
0.004872191905975342,
0.004872191905975342,
0.004874239921569825,
0.004874239921569825,
0.004869120121002197,
0.0048752641677856446,
0.004873216152191162,
0.004872191905975342,
0.004872191905975342,
0.004869120121002197,
0.004869120121002197,
0.004873216152191162,
0.004872191905975342,
0.00487116813659668,
0.004866047859191895,
0.00487120008468628,
0.004868095874786377,
0.004873216152191162,
0.004869120121002197,
0.004872191905975342,
0.00487014389038086,
0.004872191905975342,
0.004868095874786377,
0.004869120121002197,
0.004869120121002197,
0.00487014389038086,
0.004873216152191162,
0.005017600059509277,
0.004873216152191162,
0.004868095874786377,
0.00487014389038086,
0.004866047859191895,
0.004873216152191162,
0.004866047859191895,
0.004867072105407715,
0.004868095874786377,
0.004872191905975342,
0.004867072105407715,
0.0048752641677856446,
0.00487116813659668,
0.004872191905975342,
0.004872191905975342,
0.004870207786560059,
0.0048752641677856446,
0.004873216152191162,
0.004872191905975342,
0.004873216152191162,
0.004873216152191162,
0.004973567962646484,
0.004869120121002197,
0.0048752641677856446,
0.004869120121002197,
0.0048681597709655765,
0.00487014389038086,
0.004873216152191162,
0.004876287937164306,
0.004869120121002197,
0.004874239921569825,
0.004872191905975342,
0.004869120121002197,
0.00487116813659668,
0.00487116813659668,
0.004872191905975342,
0.00487014389038086,
0.004869120121002197,
0.004869120121002197,
0.004874239921569825,
0.0048752641677856446,
0.00487116813659668,
0.004868095874786377,
0.004873216152191162,
0.004872191905975342,
0.004869120121002197,
0.004866047859191895,
0.004872191905975342,
0.004872255802154541,
0.004872191905975342,
0.004874239921569825,
0.004874239921569825,
0.00487116813659668
]
},
"throughput": {
"unit": "samples/s",
"value": 204.62104134881312
},
"energy": {
"unit": "kWh",
"cpu": 5.7827507495377933e-08,
"ram": 3.161936520666173e-08,
"gpu": 3.6941972681516015e-07,
"total": 4.5886659951719983e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 2179282.6086103413
}
}
}
}