IlyasMoutawwakil's picture
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
7aafe43 verified
raw
history blame
12.8 kB
{
"config": {
"name": "cuda_inference_transformers_image-classification_google/vit-base-patch16-224",
"backend": {
"name": "pytorch",
"version": "2.3.1+rocm5.7",
"_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": "6",
"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": 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": "warn",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 128,
"cpu_ram_mb": 1082014.482432,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-122-generic-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]"
],
"gpu_count": 8,
"gpu_vram_mb": 549621596160,
"optimum_benchmark_version": "0.5.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.45.2",
"transformers_commit": null,
"accelerate_version": "1.0.0",
"accelerate_commit": null,
"diffusers_version": "0.30.3",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": "0.13.0",
"peft_commit": null
},
"print_report": true,
"log_report": true
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 1096.409088,
"max_global_vram": 68702.69952,
"max_process_vram": 5172.445184,
"max_reserved": 400.556032,
"max_allocated": 346.271744
},
"latency": {
"unit": "s",
"values": [
0.10999639892578125
],
"count": 1,
"total": 0.10999639892578125,
"mean": 0.10999639892578125,
"p50": 0.10999639892578125,
"p90": 0.10999639892578125,
"p95": 0.10999639892578125,
"p99": 0.10999639892578125,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1268.85888,
"max_global_vram": 68702.69952,
"max_process_vram": 151984.676864,
"max_reserved": 406.847488,
"max_allocated": 355.303424
},
"latency": {
"unit": "s",
"values": [
0.006976974964141846,
0.006805934906005859,
0.006820014953613281,
0.006828014850616455,
0.006832974910736084,
0.006762574195861817,
0.006326094150543213,
0.006247374057769775,
0.006436014175415039,
0.006537774085998535,
0.006379374027252197,
0.006544333934783935,
0.0063137741088867185,
0.0063027338981628414,
0.0061494531631469725,
0.00637217378616333,
0.005985773086547851,
0.005989772796630859,
0.00597985315322876,
0.006171533107757568,
0.006423533916473389,
0.006409453868865967,
0.006462254047393799,
0.006433932781219482,
0.006378733158111573,
0.006379693984985352,
0.0063988938331604,
0.00647313404083252,
0.0063894538879394535,
0.006360174179077149,
0.006296654224395752,
0.006214252948760986,
0.0061956939697265625,
0.006175532817840577,
0.006258254051208496,
0.006223052978515625,
0.0062115340232849125,
0.0065558538436889646,
0.006735215187072754,
0.006474894046783447,
0.006467214107513428,
0.006465134143829346,
0.006499053955078125,
0.006512013912200928,
0.006434413909912109,
0.006382093906402588,
0.006217453002929687,
0.006275373935699463,
0.006240972995758057,
0.006196653842926026,
0.006064493179321289,
0.006055532932281494,
0.006079854011535645,
0.006167852878570556,
0.0060528130531311035,
0.006068973064422607,
0.00605713415145874,
0.006051853179931641,
0.006050413131713867,
0.006061452865600586,
0.0060337729454040525,
0.006058572769165039,
0.0060790529251098634,
0.00606769323348999,
0.006071853160858154,
0.006691054821014404,
0.006533614158630371,
0.006410254001617432,
0.00628865385055542,
0.006464973926544189,
0.006880334854125977,
0.006839535236358643,
0.0068208141326904295,
0.006820653915405274,
0.006374733924865723,
0.006407373905181884,
0.006352334022521972,
0.006306253910064698,
0.006756494045257569,
0.006830413818359375,
0.006838095188140869,
0.006753934860229492,
0.006470573902130127,
0.006810414791107178,
0.006819694995880127,
0.0068548951148986815,
0.006840334892272949,
0.006801134109497071,
0.006810894012451172,
0.006834575176239014,
0.006424493789672851,
0.0063491339683532716,
0.006400013923645019,
0.00640049409866333,
0.00633553409576416,
0.0062968130111694335,
0.006301613807678222,
0.006031692981719971,
0.006099534034729004,
0.0062110528945922856,
0.006207533836364746,
0.006054893016815186,
0.006002892971038818,
0.006209133148193359,
0.006186092853546142,
0.006042253017425537,
0.0060380930900573735,
0.006204654216766357,
0.006045133113861084,
0.00604705286026001,
0.006040332794189453,
0.006051853179931641,
0.006050093173980713,
0.006038893222808838,
0.0060380930900573735,
0.0060142531394958496,
0.006024972915649414,
0.006018572807312011,
0.006032332897186279,
0.006008333206176758,
0.006060492992401123,
0.006034412860870361,
0.0060006527900695805,
0.0060068931579589846,
0.006033452987670898,
0.0060368127822875975,
0.006009772777557373,
0.006013613224029541,
0.006039533138275146,
0.006003693103790283,
0.006014092922210694,
0.005995693206787109,
0.006038413047790527,
0.005985773086547851,
0.006018572807312011,
0.0059908928871154786,
0.006011053085327149,
0.006000813007354736,
0.006032652854919433,
0.006008492946624756,
0.0060099329948425295,
0.006020493030548095,
0.005977132797241211,
0.0059982528686523436,
0.006047692775726319,
0.006016172885894775,
0.005998093128204346,
0.006008172988891601,
0.006031532764434814,
0.0060118532180786135,
0.006027213096618652,
0.006026093006134033,
0.006024813175201416,
0.0060025730133056645,
0.005991532802581787,
0.006013453006744385,
0.006004493236541748,
0.006035532951354981,
0.006012331962585449
],
"count": 159,
"total": 0.9963354353904718,
"mean": 0.006266260599940078,
"p50": 0.0061956939697265625,
"p90": 0.006806830883026123,
"p95": 0.006830669927597045,
"p99": 0.006865579805374145,
"stdev": 0.0002796012984714966,
"stdev_": 4.462011976874539
},
"throughput": {
"unit": "samples/s",
"value": 159.5848088427032
},
"energy": null,
"efficiency": null
}
}
}