IlyasMoutawwakil's picture
Upload cuda_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
3b5aa4a verified
raw
history blame
12.2 kB
{
"config": {
"name": "cuda_inference_timm_image-classification_timm/resnet50.a1_in1k",
"backend": {
"name": "pytorch",
"version": "2.3.1+cu121",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "image-classification",
"library": "timm",
"model_type": "resnet50",
"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,
"memory": true,
"latency": true,
"energy": true,
"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 7R32",
"cpu_count": 16,
"cpu_ram_mb": 66697.293824,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"NVIDIA A10G"
],
"gpu_count": 1,
"gpu_vram_mb": 24146608128,
"optimum_benchmark_version": "0.3.1",
"optimum_benchmark_commit": null,
"transformers_version": "4.42.4",
"transformers_commit": null,
"accelerate_version": "0.32.1",
"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": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 785.010688,
"max_global_vram": 711.458816,
"max_process_vram": 0.0,
"max_reserved": 125.82912,
"max_allocated": 103.077376
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.4970654296875,
"mean": 7.4970654296875,
"stdev": 0.0,
"p50": 7.4970654296875,
"p90": 7.4970654296875,
"p95": 7.4970654296875,
"p99": 7.4970654296875,
"values": [
7.4970654296875
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 4.302269882626004e-06,
"ram": 2.3344554599776757e-06,
"gpu": 6.606949729999869e-06,
"total": 1.324367507260355e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 971.677696,
"max_global_vram": 1040.71168,
"max_process_vram": 0.0,
"max_reserved": 396.361728,
"max_allocated": 245.323264
},
"latency": {
"unit": "s",
"count": 146,
"total": 0.9961408963203431,
"mean": 0.006822882851509199,
"stdev": 0.00021111793080942764,
"p50": 0.006734335899353027,
"p90": 0.007159840106964112,
"p95": 0.007199488162994385,
"p99": 0.007332676815986634,
"values": [
0.007358496189117432,
0.0072325119972229,
0.0072672638893127445,
0.0071905279159545895,
0.007198719978332519,
0.007279615879058838,
0.00719155216217041,
0.006873087882995605,
0.006874144077301025,
0.007144447803497315,
0.00738918399810791,
0.007113728046417236,
0.006986752033233643,
0.007003136157989502,
0.007060480117797851,
0.0071619200706481935,
0.007157760143280029,
0.007151616096496582,
0.007123968124389648,
0.007116799831390381,
0.007063551902770996,
0.007143424034118652,
0.007169023990631103,
0.007172095775604248,
0.007134208202362061,
0.007134208202362061,
0.007102464199066162,
0.00707583999633789,
0.007192575931549072,
0.007201791763305664,
0.00719974422454834,
0.007018496036529541,
0.006958079814910889,
0.007122943878173828,
0.006806528091430664,
0.006706175804138184,
0.00672870397567749,
0.0068853759765625,
0.006782976150512696,
0.0068392958641052244,
0.006873023986816406,
0.006819839954376221,
0.006800352096557617,
0.006801343917846679,
0.00672870397567749,
0.006696959972381592,
0.006810624122619629,
0.006842368125915528,
0.006731776237487793,
0.006743040084838867,
0.006800384044647217,
0.006673408031463623,
0.006673408031463623,
0.00675328016281128,
0.006689792156219483,
0.006863872051239014,
0.006624256134033203,
0.006646783828735352,
0.006708223819732666,
0.0066344962120056155,
0.006651904106140137,
0.006729728221893311,
0.006668255805969238,
0.006796288013458252,
0.006875135898590088,
0.006796319961547851,
0.0068618240356445315,
0.0068392958641052244,
0.006788095951080322,
0.006752255916595459,
0.006807551860809326,
0.006668288230895996,
0.0067123198509216305,
0.00674508810043335,
0.0066344962120056155,
0.006586368083953857,
0.00648089599609375,
0.006622208118438721,
0.0066826238632202144,
0.006478847980499268,
0.0063569917678833006,
0.0063569917678833006,
0.006425600051879882,
0.006709248065948486,
0.006594560146331787,
0.006482944011688232,
0.0068853759765625,
0.00713318395614624,
0.007301119804382325,
0.00698367977142334,
0.006982656002044678,
0.006913983821868896,
0.007078911781311035,
0.006870016098022461,
0.006808576107025147,
0.006780928134918213,
0.006778880119323731,
0.006719488143920899,
0.006714367866516113,
0.006681600093841553,
0.006666240215301514,
0.006718463897705078,
0.006707200050354004,
0.0067338237762451176,
0.006682591915130615,
0.006756351947784424,
0.006724607944488525,
0.006732800006866455,
0.006739967823028564,
0.006719488143920899,
0.0066826238632202144,
0.006696959972381592,
0.006731776237487793,
0.006684671878814697,
0.0066826238632202144,
0.006715392112731934,
0.006703135967254639,
0.006625279903411865,
0.0066344962120056155,
0.006688831806182861,
0.006707263946533203,
0.00675328016281128,
0.006738944053649902,
0.006714367866516113,
0.006729728221893311,
0.006702079772949219,
0.006680575847625733,
0.006691808223724365,
0.006722559928894043,
0.0066119680404663084,
0.006639616012573242,
0.00669593620300293,
0.0066826238632202144,
0.006707263946533203,
0.0067041277885437015,
0.006665215969085693,
0.006715392112731934,
0.0067348480224609375,
0.006721536159515381,
0.006658048152923584,
0.006684671878814697,
0.0066877121925354,
0.006688767910003662,
0.006704063892364502,
0.006702079772949219,
0.00670304012298584
]
},
"throughput": {
"unit": "samples/s",
"value": 146.5656118921642
},
"energy": {
"unit": "kWh",
"cpu": 8.045627033567286e-08,
"ram": 4.398492530699416e-08,
"gpu": 1.7052190818919053e-07,
"total": 2.9496310383185753e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3390254.5335637834
}
}
}
}