IlyasMoutawwakil's picture
Upload cuda_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
59b5465 verified
raw
history blame
10.8 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",
"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": "8320ce6f24eaa5099bd3b49d8d44c0c1368af14b",
"transformers_version": "4.42.3",
"transformers_commit": null,
"accelerate_version": "0.31.0",
"accelerate_commit": null,
"diffusers_version": "0.29.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.7",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1825.021952,
"max_global_vram": 541.261824,
"max_process_vram": 87888.826368,
"max_reserved": 148.897792,
"max_allocated": 113.51808
},
"latency": {
"unit": "s",
"count": 147,
"total": 0.9986438879966736,
"mean": 0.006793495836712064,
"stdev": 0.0002577191363664931,
"p50": 0.006733605861663819,
"p90": 0.006912805938720704,
"p95": 0.007207045841217041,
"p99": 0.00808718147277832,
"values": [
0.008061607360839844,
0.008108966827392578,
0.00817536735534668,
0.007882407188415527,
0.00683904504776001,
0.006891526222229004,
0.00679408597946167,
0.006875845909118652,
0.006808166027069092,
0.00676624584197998,
0.006763044834136963,
0.006709125995635987,
0.0067220859527587894,
0.00671488618850708,
0.0067521648406982425,
0.006787045955657959,
0.006780486106872558,
0.006777925968170166,
0.006738406181335449,
0.006680964946746826,
0.006718085765838623,
0.0067404861450195315,
0.006740806102752686,
0.006761604785919189,
0.00673728609085083,
0.006725605964660645,
0.0067012858390808104,
0.006696165084838867,
0.0066865658760070805,
0.006690085887908936,
0.0067190461158752445,
0.006693445205688477,
0.0068670458793640135,
0.006727206230163574,
0.006678085803985595,
0.006670724868774414,
0.006690085887908936,
0.0068308858871459965,
0.00679024600982666,
0.006717606067657471,
0.006781604766845703,
0.006747684955596924,
0.006734725952148438,
0.006765766143798828,
0.006751046180725097,
0.006732325077056885,
0.006839526176452637,
0.0067478461265563965,
0.006834246158599853,
0.006780486106872558,
0.006812485218048095,
0.0068201651573181156,
0.006784326076507569,
0.006775045871734619,
0.00684864616394043,
0.006896006107330322,
0.006875525951385498,
0.006864484786987305,
0.006891365051269531,
0.0071179261207580564,
0.007210405826568603,
0.007473606109619141,
0.007354886054992676,
0.007215207099914551,
0.007199205875396728,
0.007132805824279785,
0.007114565849304199,
0.007042885780334473,
0.006926246166229248,
0.006848326206207275,
0.006791205883026123,
0.006798725128173828,
0.006814886093139649,
0.006730566024780274,
0.00686944580078125,
0.006888966083526612,
0.006791525840759277,
0.006741445064544677,
0.00674336576461792,
0.006788646221160889,
0.006800806045532227,
0.006765285968780518,
0.006786244869232178,
0.006838726043701172,
0.00690384578704834,
0.00680448579788208,
0.006807365894317627,
0.0068902459144592285,
0.00694912576675415,
0.006856965065002441,
0.006737285137176514,
0.006742085933685303,
0.006727846145629883,
0.006724646091461181,
0.006706244945526123,
0.006733605861663819,
0.006715685844421387,
0.006684645175933838,
0.006693124771118164,
0.006706885814666748,
0.0067001662254333495,
0.006688805103302002,
0.006701926231384278,
0.00672096586227417,
0.006662566184997559,
0.006732165813446045,
0.006722404956817627,
0.006698885917663574,
0.006732645988464355,
0.0066507248878479005,
0.006656644821166992,
0.006720325946807861,
0.006710246086120606,
0.0066544051170349125,
0.0066627259254455565,
0.006654885768890381,
0.006624965190887451,
0.006632326126098632,
0.00663312578201294,
0.006596485137939453,
0.006723686218261719,
0.0066059260368347165,
0.006621126174926758,
0.006606725215911866,
0.006586085796356201,
0.006602725028991699,
0.0066126461029052735,
0.006646885871887207,
0.006604644775390625,
0.0066052861213684085,
0.006594086170196533,
0.006573925018310547,
0.0065912060737609865,
0.0066200060844421385,
0.006637605190277099,
0.006600646018981934,
0.006611045837402344,
0.006619044780731201,
0.006611044883728027,
0.006615365982055664,
0.0065744051933288574,
0.006579845905303955,
0.0065864062309265135,
0.006572965145111084,
0.006614885807037354,
0.006614405155181885,
0.00658880615234375
]
},
"throughput": {
"unit": "samples/s",
"value": 147.19961917044213
},
"energy": null,
"efficiency": null
}
}
}