IlyasMoutawwakil's picture
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
856a03b verified
raw
history blame
10.7 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",
"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": "c1d0b062e90b79e7705510c58cea731c0d90da8a",
"transformers_version": "4.40.2",
"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": 1060.958208,
"max_global_vram": 2033.205248,
"max_process_vram": 206770.356224,
"max_reserved": 406.847488,
"max_allocated": 355.912704
},
"latency": {
"unit": "s",
"count": 145,
"total": 0.9995394802093507,
"mean": 0.006893375725581728,
"stdev": 0.00010612563045300694,
"p50": 0.006896010875701904,
"p90": 0.007027884006500244,
"p95": 0.007092428970336914,
"p99": 0.007153919582366943,
"values": [
0.006713771820068359,
0.006701451778411865,
0.006742250919342041,
0.006745292186737061,
0.0067747321128845215,
0.006769771099090576,
0.0068278517723083494,
0.006758572101593018,
0.006722731113433838,
0.006786571979522705,
0.006711212158203125,
0.006770250797271729,
0.006906732082366944,
0.0067019319534301755,
0.006704811096191406,
0.006695211887359619,
0.006735052108764648,
0.0067363309860229495,
0.006659852027893066,
0.006755051136016846,
0.006707211971282959,
0.0067392120361328125,
0.006723690986633301,
0.006726731777191162,
0.006715850830078125,
0.0067547311782836916,
0.0067344121932983395,
0.006741930961608886,
0.006696812152862549,
0.006696812152862549,
0.006876330852508545,
0.006890572071075439,
0.006872171878814697,
0.006928172111511231,
0.006866251945495606,
0.006912652015686035,
0.006874092102050781,
0.006872332096099854,
0.006878732204437256,
0.006934572219848633,
0.006844332218170166,
0.00686049222946167,
0.006910571098327637,
0.006886570930480957,
0.0069190521240234375,
0.006861772060394287,
0.0069001722335815426,
0.006830252170562744,
0.006822092056274414,
0.006841290950775147,
0.006838251113891602,
0.006942892074584961,
0.006905611991882324,
0.006941452026367188,
0.006960492134094238,
0.006953291893005371,
0.00703953218460083,
0.006942891120910645,
0.006971051216125488,
0.0068953709602355955,
0.006856972217559814,
0.006891692161560058,
0.006935212135314941,
0.006899531841278076,
0.006897451877593994,
0.0069929718971252445,
0.007074572086334228,
0.006986732006072998,
0.0069172921180725095,
0.006959531784057617,
0.006954092025756836,
0.007032493114471436,
0.007033291816711426,
0.007075851917266846,
0.007096652030944824,
0.007153293132781982,
0.007112812042236328,
0.007117132186889649,
0.007088972091674805,
0.007093293190002441,
0.007000971794128418,
0.006985772132873535,
0.006987371921539307,
0.007004811763763428,
0.006925292015075683,
0.006873452186584473,
0.006904652118682861,
0.00689489221572876,
0.006924972057342529,
0.006913291931152344,
0.006896010875701904,
0.006892170906066895,
0.006918091773986817,
0.006916972160339355,
0.006970891952514649,
0.006898412227630615,
0.0071665730476379395,
0.007154411792755127,
0.0070988922119140626,
0.006989292144775391,
0.007020971775054932,
0.007006092071533203,
0.006955852031707763,
0.007032492160797119,
0.006961771965026856,
0.006975852012634278,
0.0069478521347045895,
0.006958251953125,
0.006899211883544922,
0.006955371856689453,
0.006941932201385498,
0.006946092128753662,
0.006932171821594238,
0.006897771835327148,
0.006867372035980225,
0.006847531795501709,
0.0068667311668395995,
0.0068768119812011716,
0.0068579320907592774,
0.00688129186630249,
0.006891372203826904,
0.006871692180633545,
0.006871851921081543,
0.006852491855621338,
0.006872331142425537,
0.006911211967468261,
0.0068956918716430666,
0.006957931995391846,
0.006951692104339599,
0.00690481185913086,
0.006981612205505371,
0.006914251804351806,
0.006857131958007813,
0.0068657717704772945,
0.006897771835327148,
0.006904012203216553,
0.006852810859680176,
0.006880492210388184,
0.006937130928039551,
0.006893130779266357,
0.006854891777038574,
0.006890091896057129,
0.006861931800842285,
0.0068486518859863284,
0.006872171878814697
]
},
"throughput": {
"unit": "samples/s",
"value": 145.06680613519157
},
"energy": null,
"efficiency": null
}
}
}