cuda
/
cuda_inference_transformers_image-classification_google
/vit-base-patch16-224
/benchmark.json

IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
a98fb17
verified
{ | |
"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": "0.3.1", | |
"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": 876.519424, | |
"max_global_vram": 1057.488896, | |
"max_process_vram": 0.0, | |
"max_reserved": 406.847488, | |
"max_allocated": 363.85792 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 207, | |
"total": 1.008046146869658, | |
"mean": 0.004869788149128789, | |
"stdev": 8.344313935276691e-05, | |
"p50": 0.0048527359962463375, | |
"p90": 0.004921158409118652, | |
"p95": 0.004965580701828003, | |
"p99": 0.005093549356460571, | |
"values": [ | |
0.005921792030334472, | |
0.005015552043914795, | |
0.004947968006134033, | |
0.004999167919158935, | |
0.004967423915863037, | |
0.0051036162376403805, | |
0.004937727928161621, | |
0.0049797120094299315, | |
0.004930560111999512, | |
0.0049797120094299315, | |
0.004930560111999512, | |
0.005098527908325196, | |
0.004998144149780274, | |
0.004985856056213379, | |
0.00496127986907959, | |
0.004943871974945068, | |
0.004922368049621582, | |
0.004867072105407715, | |
0.0048752641677856446, | |
0.004929535865783692, | |
0.004931583881378174, | |
0.004944896221160889, | |
0.00497049617767334, | |
0.0049203519821166995, | |
0.004866047859191895, | |
0.004908031940460205, | |
0.004888576030731201, | |
0.004851712226867676, | |
0.0048558077812194825, | |
0.0048558077812194825, | |
0.004860928058624267, | |
0.004857855796813965, | |
0.0048527359962463375, | |
0.004857855796813965, | |
0.0048496642112731934, | |
0.0048568320274353025, | |
0.004859903812408447, | |
0.0048558077812194825, | |
0.0048568320274353025, | |
0.004859903812408447, | |
0.00485478401184082, | |
0.004857855796813965, | |
0.0048568320274353025, | |
0.004857855796813965, | |
0.0048527359962463375, | |
0.00485478401184082, | |
0.004857855796813965, | |
0.004853759765625, | |
0.0048568320274353025, | |
0.004857855796813965, | |
0.0048558077812194825, | |
0.0048527359962463375, | |
0.00485478401184082, | |
0.0048568320274353025, | |
0.004868095874786377, | |
0.0048865280151367185, | |
0.004884479999542236, | |
0.0048527359962463375, | |
0.004844543933868409, | |
0.004841472148895264, | |
0.004842495918273926, | |
0.004843520164489746, | |
0.004840447902679444, | |
0.004841472148895264, | |
0.0048455681800842285, | |
0.004846591949462891, | |
0.004841472148895264, | |
0.0048455681800842285, | |
0.004841472148895264, | |
0.0048455681800842285, | |
0.004846591949462891, | |
0.004844543933868409, | |
0.004844543933868409, | |
0.004844543933868409, | |
0.0048455681800842285, | |
0.004842495918273926, | |
0.004841472148895264, | |
0.004848639965057373, | |
0.004841472148895264, | |
0.0048527359962463375, | |
0.004853759765625, | |
0.004851712226867676, | |
0.004853759765625, | |
0.00485478401184082, | |
0.0048527359962463375, | |
0.004853759765625, | |
0.0048527359962463375, | |
0.004851712226867676, | |
0.004853759765625, | |
0.004851712226867676, | |
0.0048496642112731934, | |
0.004850687980651855, | |
0.004851712226867676, | |
0.004853759765625, | |
0.004853759765625, | |
0.004848639965057373, | |
0.004850687980651855, | |
0.004853759765625, | |
0.0048527359962463375, | |
0.004853759765625, | |
0.0048527359962463375, | |
0.004851712226867676, | |
0.0048496642112731934, | |
0.004850687980651855, | |
0.004851712226867676, | |
0.0048527359962463375, | |
0.004847616195678711, | |
0.004847616195678711, | |
0.00485478401184082, | |
0.0048527359962463375, | |
0.004850687980651855, | |
0.0048558077812194825, | |
0.004851712226867676, | |
0.004847616195678711, | |
0.0048496642112731934, | |
0.004850687980651855, | |
0.00485478401184082, | |
0.004851712226867676, | |
0.004853759765625, | |
0.0048527359962463375, | |
0.0048527359962463375, | |
0.0048496642112731934, | |
0.004850687980651855, | |
0.004851712226867676, | |
0.0048527359962463375, | |
0.004850687980651855, | |
0.004847616195678711, | |
0.0048496642112731934, | |
0.004851712226867676, | |
0.004850687980651855, | |
0.004853759765625, | |
0.004848639965057373, | |
0.004848639965057373, | |
0.004853759765625, | |
0.0048496642112731934, | |
0.004853759765625, | |
0.00485478401184082, | |
0.004850687980651855, | |
0.00485478401184082, | |
0.0048496642112731934, | |
0.004850687980651855, | |
0.004850687980651855, | |
0.004853759765625, | |
0.0048527359962463375, | |
0.0048527359962463375, | |
0.004853759765625, | |
0.004851712226867676, | |
0.004853759765625, | |
0.004851712226867676, | |
0.0048527359962463375, | |
0.0048568320274353025, | |
0.004848639965057373, | |
0.004853759765625, | |
0.004846591949462891, | |
0.004853759765625, | |
0.004850687980651855, | |
0.004850687980651855, | |
0.0048496642112731934, | |
0.004853759765625, | |
0.004851712226867676, | |
0.0048496642112731934, | |
0.00485478401184082, | |
0.004850687980651855, | |
0.0048496642112731934, | |
0.0048496642112731934, | |
0.0048496642112731934, | |
0.004850687980651855, | |
0.0048496642112731934, | |
0.004850687980651855, | |
0.004848639965057373, | |
0.004853759765625, | |
0.004850687980651855, | |
0.004853759765625, | |
0.0048527359962463375, | |
0.0048527359962463375, | |
0.004851712226867676, | |
0.004850687980651855, | |
0.004846591949462891, | |
0.004850687980651855, | |
0.004851712226867676, | |
0.0048527359962463375, | |
0.004848639965057373, | |
0.004847616195678711, | |
0.004851712226867676, | |
0.004850687980651855, | |
0.004851712226867676, | |
0.00485478401184082, | |
0.00485478401184082, | |
0.004848639965057373, | |
0.0048496642112731934, | |
0.004853759765625, | |
0.0048527359962463375, | |
0.004850687980651855, | |
0.0048496642112731934, | |
0.004850687980651855, | |
0.004850687980651855, | |
0.004851712226867676, | |
0.0048496642112731934, | |
0.00485478401184082, | |
0.00485478401184082, | |
0.0048496642112731934, | |
0.004847616195678711, | |
0.004850687980651855, | |
0.004846591949462891, | |
0.004851712226867676, | |
0.004851712226867676, | |
0.004848639965057373 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 205.34774190924531 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 5.773553855139254e-08, | |
"ram": 3.1478847560378576e-08, | |
"gpu": 3.4017191783962366e-07, | |
"total": 4.2938630395139486e-07 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 2328905.2091265507 | |
} | |
} | |
} | |
} |