IlyasMoutawwakil's picture
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
c08d22b verified
raw
history blame
10.9 kB
{
"config": {
"name": "cuda_inference_transformers_image-classification_google/vit-base-patch16-224",
"backend": {
"name": "pytorch",
"version": "2.2.2+rocm5.7",
"_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": 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": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 128,
"cpu_ram_mb": 1082015.236096,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"Advanced Micro Devices, Inc. [AMD/ATI]"
],
"gpu_count": 1,
"gpu_vram_mb": 68702699520,
"optimum_benchmark_version": "0.2.1",
"optimum_benchmark_commit": "fb780fc73efc41258966d25b08045708166d6309",
"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": 1059.913728,
"max_global_vram": 2976.68608,
"max_process_vram": 181600.702464,
"max_reserved": 406.847488,
"max_allocated": 355.30752
},
"latency": {
"unit": "s",
"count": 147,
"total": 0.9961226077079773,
"mean": 0.0067763442701222944,
"stdev": 0.00021928130006501823,
"p50": 0.006687352180480957,
"p90": 0.007041655445098877,
"p95": 0.007211270952224731,
"p99": 0.007467619237899779,
"values": [
0.00668015193939209,
0.006672152042388916,
0.006630711078643799,
0.006821911811828613,
0.006792631149291992,
0.006770071983337403,
0.006746551036834717,
0.006776472091674804,
0.006772151947021484,
0.0067099108695983884,
0.00666975212097168,
0.006968630790710449,
0.006608791828155517,
0.006594552040100098,
0.0065953521728515626,
0.006579831123352051,
0.006581592082977295,
0.006569911956787109,
0.006624311923980713,
0.006578551769256592,
0.006601111888885498,
0.0066484718322753905,
0.006602392196655273,
0.006645270824432373,
0.006613912105560303,
0.006625912189483643,
0.006645751953125,
0.006646390914916992,
0.006670072078704834,
0.00673039197921753,
0.006648311138153076,
0.006658232212066651,
0.006683512210845947,
0.006775671005249023,
0.006899032115936279,
0.006714070796966553,
0.006703991889953614,
0.006645912170410156,
0.006767351150512696,
0.006838232040405273,
0.006956632137298584,
0.006940471172332764,
0.006789591789245606,
0.006755190849304199,
0.006991991996765137,
0.00683535099029541,
0.006780632019042969,
0.00669071102142334,
0.00670031213760376,
0.006833590984344482,
0.007181591033935547,
0.007160790920257568,
0.0071463918685913085,
0.006938392162322998,
0.006807671070098877,
0.006720632076263428,
0.006792471885681152,
0.006796152114868164,
0.006972150802612305,
0.007093911170959473,
0.00695087194442749,
0.006895831108093262,
0.006933112144470215,
0.0068614320755004884,
0.007004470825195313,
0.00695743179321289,
0.007369111061096192,
0.007342071056365967,
0.007056631088256836,
0.006930391788482666,
0.00686703109741211,
0.006811031818389893,
0.006780470848083496,
0.006870232105255127,
0.006774870872497558,
0.006838232040405273,
0.006862071037292481,
0.0069065518379211426,
0.006956791877746582,
0.006957271099090576,
0.006875351905822754,
0.00678191089630127,
0.00694287109375,
0.0070417518615722655,
0.007248311042785644,
0.007399189949035645,
0.00711807107925415,
0.007223990917205811,
0.006893112182617188,
0.007899189949035644,
0.007347990989685058,
0.0068945508003234865,
0.006641592025756836,
0.006638072013854981,
0.006610391139984131,
0.006620151996612549,
0.006606872081756592,
0.0066148719787597655,
0.006615510940551758,
0.0066167922019958495,
0.006622392177581787,
0.006596312046051025,
0.006809751033782959,
0.00676095199584961,
0.0065182318687438965,
0.006881112098693847,
0.006687191009521485,
0.006559192180633545,
0.006608791828155517,
0.006545752048492432,
0.006670711994171142,
0.006630391120910645,
0.006613751888275146,
0.0066009521484375,
0.0066393518447875974,
0.006611351013183594,
0.00661951208114624,
0.007525910854339599,
0.007041591167449951,
0.006598872184753418,
0.006535831928253174,
0.006567990779876709,
0.006652152061462403,
0.006614232063293457,
0.006687352180480957,
0.006638391971588135,
0.006571832180023193,
0.006604152202606201,
0.006631671905517578,
0.006595030784606933,
0.006917912006378174,
0.006613271236419678,
0.006585912227630615,
0.006636951923370361,
0.006620791912078858,
0.006573592185974121,
0.006634070873260498,
0.006634871959686279,
0.006617591857910156,
0.006643832206726074,
0.006661111831665039,
0.006641751766204834,
0.0066271920204162595,
0.006647191047668457,
0.0065916719436645505,
0.006624311923980713,
0.006660790920257569
]
},
"throughput": {
"unit": "samples/s",
"value": 147.5721952925442
},
"energy": null,
"efficiency": null
}
}
}