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
5d860e8
verified
{ | |
"config": { | |
"name": "cuda_inference_transformers_image-classification_google/vit-base-patch16-224", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.3.0+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": 66697.29792, | |
"system": "Linux", | |
"machine": "x86_64", | |
"platform": "Linux-5.10.215-203.850.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": "4.41.0", | |
"transformers_commit": null, | |
"accelerate_version": "0.30.1", | |
"accelerate_commit": null, | |
"diffusers_version": "0.27.2", | |
"diffusers_commit": null, | |
"optimum_version": null, | |
"optimum_commit": null, | |
"timm_version": "1.0.3", | |
"timm_commit": null, | |
"peft_version": null, | |
"peft_commit": null | |
} | |
}, | |
"report": { | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 875.638784, | |
"max_global_vram": 1057.488896, | |
"max_process_vram": 0.0, | |
"max_reserved": 406.847488, | |
"max_allocated": 363.85792 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 207, | |
"total": 1.0292172374725337, | |
"mean": 0.004972063949142677, | |
"stdev": 0.0001826264505206363, | |
"p50": 0.00486195182800293, | |
"p90": 0.005150720119476319, | |
"p95": 0.005173945617675781, | |
"p99": 0.005261148195266724, | |
"values": [ | |
0.005477375984191894, | |
0.005017600059509277, | |
0.004987904071807861, | |
0.005039103984832764, | |
0.005067776203155518, | |
0.0051363840103149415, | |
0.004981760025024414, | |
0.005053440093994141, | |
0.005051392078399658, | |
0.005037055969238281, | |
0.0049797120094299315, | |
0.005150720119476319, | |
0.005022719860076904, | |
0.004980735778808594, | |
0.0050360321998596195, | |
0.004936704158782959, | |
0.00487116813659668, | |
0.00487014389038086, | |
0.004876287937164306, | |
0.0050954241752624516, | |
0.005025792121887207, | |
0.005150720119476319, | |
0.005149695873260498, | |
0.005174272060394287, | |
0.005075967788696289, | |
0.005122047901153564, | |
0.005088255882263183, | |
0.0050503678321838375, | |
0.005149695873260498, | |
0.005173183917999267, | |
0.005172224044799805, | |
0.005126143932342529, | |
0.005114880084991455, | |
0.005135359764099121, | |
0.005135359764099121, | |
0.005149695873260498, | |
0.0051363840103149415, | |
0.00516812801361084, | |
0.005212160110473632, | |
0.006841343879699707, | |
0.005150720119476319, | |
0.004975615978240967, | |
0.0050135040283203125, | |
0.004985856056213379, | |
0.00511078405380249, | |
0.005132287979125977, | |
0.005115903854370117, | |
0.005175295829772949, | |
0.005157887935638428, | |
0.005174272060394287, | |
0.00516099214553833, | |
0.00516096019744873, | |
0.0051066880226135255, | |
0.0050728960037231445, | |
0.005127168178558349, | |
0.005104640007019043, | |
0.005115903854370117, | |
0.005145599842071533, | |
0.005161983966827393, | |
0.005071872234344482, | |
0.005041152000427246, | |
0.0050360321998596195, | |
0.0050094079971313476, | |
0.004983808040618896, | |
0.005201920032501221, | |
0.005134335994720459, | |
0.00495411205291748, | |
0.005063680171966553, | |
0.0050954241752624516, | |
0.005092351913452148, | |
0.004984831809997559, | |
0.0050063362121582035, | |
0.005000192165374756, | |
0.005041152000427246, | |
0.005119999885559082, | |
0.00522649621963501, | |
0.005157887935638428, | |
0.005169151782989502, | |
0.005149695873260498, | |
0.005186560153961181, | |
0.0050769920349121095, | |
0.0049192957878112795, | |
0.0048752641677856446, | |
0.004858880043029785, | |
0.004872191905975342, | |
0.005029888153076172, | |
0.005032959938049316, | |
0.0050432000160217285, | |
0.004933631896972656, | |
0.005082111835479736, | |
0.0049797120094299315, | |
0.005053440093994141, | |
0.004963327884674072, | |
0.004860928058624267, | |
0.004859903812408447, | |
0.004857855796813965, | |
0.004857855796813965, | |
0.004853759765625, | |
0.0048558077812194825, | |
0.0048558077812194825, | |
0.0048558077812194825, | |
0.00486195182800293, | |
0.004857855796813965, | |
0.00506060791015625, | |
0.0052633600234985355, | |
0.005148672103881836, | |
0.004989952087402344, | |
0.004968448162078858, | |
0.004908031940460205, | |
0.004860928058624267, | |
0.004857855796813965, | |
0.005116928100585938, | |
0.0051968002319335935, | |
0.004857855796813965, | |
0.004860928058624267, | |
0.004859903812408447, | |
0.00486195182800293, | |
0.0048568320274353025, | |
0.004859903812408447, | |
0.004859903812408447, | |
0.004858880043029785, | |
0.004860928058624267, | |
0.0048568320274353025, | |
0.00485478401184082, | |
0.004860928058624267, | |
0.004857855796813965, | |
0.004857855796813965, | |
0.004857855796813965, | |
0.0048568320274353025, | |
0.004859903812408447, | |
0.0048558077812194825, | |
0.00485478401184082, | |
0.00486297607421875, | |
0.0048568320274353025, | |
0.00486195182800293, | |
0.004859903812408447, | |
0.0048568320274353025, | |
0.004857855796813965, | |
0.004859903812408447, | |
0.004853759765625, | |
0.004857855796813965, | |
0.004859903812408447, | |
0.004857855796813965, | |
0.004857855796813965, | |
0.0048568320274353025, | |
0.004857855796813965, | |
0.004858880043029785, | |
0.004859903812408447, | |
0.004857855796813965, | |
0.00486195182800293, | |
0.004857855796813965, | |
0.004857855796813965, | |
0.00486195182800293, | |
0.0048558077812194825, | |
0.004859903812408447, | |
0.0048558077812194825, | |
0.004857855796813965, | |
0.0048568320274353025, | |
0.0048568320274353025, | |
0.0048568320274353025, | |
0.004857855796813965, | |
0.0048568320274353025, | |
0.00485478401184082, | |
0.004858880043029785, | |
0.00485478401184082, | |
0.004859903812408447, | |
0.00485478401184082, | |
0.004857855796813965, | |
0.004859903812408447, | |
0.004858880043029785, | |
0.0048568320274353025, | |
0.0048558077812194825, | |
0.0048558077812194825, | |
0.004859903812408447, | |
0.004857855796813965, | |
0.0048558077812194825, | |
0.004857855796813965, | |
0.004860928058624267, | |
0.0048568320274353025, | |
0.0048568320274353025, | |
0.0048568320274353025, | |
0.004860928058624267, | |
0.00486195182800293, | |
0.0048568320274353025, | |
0.00486195182800293, | |
0.004857855796813965, | |
0.0048558077812194825, | |
0.0048558077812194825, | |
0.004857855796813965, | |
0.0048558077812194825, | |
0.0048527359962463375, | |
0.004858880043029785, | |
0.0048568320274353025, | |
0.00485478401184082, | |
0.00486195182800293, | |
0.004857855796813965, | |
0.004859903812408447, | |
0.0048568320274353025, | |
0.0048527359962463375, | |
0.0048496642112731934, | |
0.0048527359962463375, | |
0.00486195182800293, | |
0.004859903812408447, | |
0.004859903812408447, | |
0.00486195182800293, | |
0.0048558077812194825, | |
0.004860928058624267 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 201.12372049688298 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 5.766880977703591e-08, | |
"ram": 3.1511238599911316e-08, | |
"gpu": 3.5513131135849295e-07, | |
"total": 4.4431135973544016e-07 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 2250673.943145271 | |
} | |
} | |
} | |
} |