IlyasMoutawwakil's picture
Upload cuda_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
eb9a556 verified
raw
history blame
11.3 kB
{
"config": {
"name": "cuda_inference_timm_image-classification_timm/resnet50.a1_in1k",
"backend": {
"name": "pytorch",
"version": "2.2.2+rocm5.7",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "image-classification",
"library": "timm",
"model": "timm/resnet50.a1_in1k",
"processor": "timm/resnet50.a1_in1k",
"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": false,
"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": 1820.921856,
"max_global_vram": 1521.647616,
"max_process_vram": 100882.30912,
"max_reserved": 148.897792,
"max_allocated": 113.51808
},
"latency": {
"unit": "s",
"count": 159,
"total": 0.995585117340088,
"mean": 0.00626154161849112,
"stdev": 0.0006557796893937076,
"p50": 0.006425929069519043,
"p90": 0.0065106330871582034,
"p95": 0.006521817922592163,
"p99": 0.009845882625579833,
"values": [
0.010615694999694824,
0.009822093963623046,
0.00987873363494873,
0.008211530685424805,
0.00573776912689209,
0.005739208221435547,
0.00573200798034668,
0.005748009204864502,
0.00572432804107666,
0.005742087841033936,
0.005732809066772461,
0.005714407920837402,
0.005719848155975342,
0.0057379288673400876,
0.005712647914886474,
0.005707047939300537,
0.005740649223327636,
0.005737127780914307,
0.005729447841644287,
0.005755689144134522,
0.005751688003540039,
0.005767528057098389,
0.005744167804718018,
0.005776008129119873,
0.0057441692352294925,
0.005746247768402099,
0.005759367942810059,
0.005749769210815429,
0.00576912784576416,
0.00575056791305542,
0.005760808944702148,
0.005742087841033936,
0.00577056884765625,
0.005742728233337402,
0.005752327919006347,
0.005786408901214599,
0.005767367839813233,
0.0057792081832885745,
0.005776968955993653,
0.005753767967224121,
0.0056568078994750975,
0.005772808074951172,
0.005769449234008789,
0.0059742479324340824,
0.005751208782196045,
0.005755208015441895,
0.005755688190460205,
0.005771688938140869,
0.005762887954711914,
0.00594304895401001,
0.005766568183898926,
0.005760328769683838,
0.005787367820739746,
0.005892327785491943,
0.005767687797546387,
0.005739848136901856,
0.00577920913696289,
0.005911208152770996,
0.00594464921951294,
0.00593120813369751,
0.005928808212280273,
0.0057400078773498535,
0.005733128070831299,
0.005761288166046143,
0.005728649139404297,
0.005905928134918213,
0.0059649691581726075,
0.005771048069000244,
0.005768649101257324,
0.005813608169555664,
0.006521770000457764,
0.0065147290229797365,
0.006518729209899902,
0.006486248970031738,
0.0064137687683105465,
0.0064350500106811525,
0.00646928882598877,
0.006458088874816894,
0.006490089893341064,
0.006499369144439698,
0.006503210067749023,
0.006473289012908935,
0.006507850170135498,
0.006479049205780029,
0.006509610176086426,
0.0064915289878845215,
0.006421928882598877,
0.0064393701553344725,
0.006507688999176025,
0.006473289966583252,
0.006510889053344727,
0.006497929096221924,
0.006460649013519287,
0.006431209087371826,
0.0064937701225280765,
0.006513449192047119,
0.006515530109405518,
0.0064841690063476565,
0.006541930198669434,
0.0064840087890625,
0.006505289077758789,
0.006509769916534424,
0.006510569095611572,
0.006503210067749023,
0.006386728763580323,
0.0065035300254821776,
0.0065222492218017574,
0.006576010227203369,
0.006469929218292236,
0.006441450119018555,
0.006459848880767822,
0.00646304988861084,
0.0064486489295959475,
0.006478408813476563,
0.006500010013580322,
0.0064884891510009765,
0.0064924898147583005,
0.0064670491218566896,
0.006445929050445557,
0.006426569938659668,
0.0064419288635253905,
0.0064113688468933104,
0.006458569049835205,
0.006437929153442383,
0.006418889999389649,
0.006425929069519043,
0.00640912914276123,
0.0064252901077270505,
0.0064724888801574705,
0.006430728912353516,
0.006420010089874267,
0.006437129020690918,
0.006466729164123535,
0.00640480899810791,
0.006442728996276855,
0.0064084892272949215,
0.00646928882598877,
0.006422089099884033,
0.0064444899559021,
0.006430889129638672,
0.006412168979644775,
0.006448170185089111,
0.006425128936767578,
0.006513769149780273,
0.006490569114685058,
0.0064603290557861326,
0.006519370079040528,
0.006499369144439698,
0.0064444899559021,
0.0064486489295959475,
0.0064848089218139645,
0.006476009845733642,
0.006484329223632812,
0.006457769870758056,
0.006478408813476563,
0.006488328933715821,
0.006470889091491699,
0.00648560905456543,
0.006531849861145019
]
},
"throughput": {
"unit": "samples/s",
"value": 159.7050791847928
},
"energy": null,
"efficiency": null
}
}
}