IlyasMoutawwakil's picture
Upload cuda_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
64ea7fa verified
raw
history blame
10.7 kB
{
"config": {
"name": "cuda_inference_timm_image-classification_timm/resnet50.a1_in1k",
"backend": {
"name": "pytorch",
"version": "2.4.0+rocm6.1",
"_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": {},
"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": 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": 1082015.256576,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-101-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": "0.4.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.1",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 1464.930304,
"max_global_vram": 0.0,
"max_process_vram": 0.0,
"max_reserved": 123.731968,
"max_allocated": 102.475264
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.99927392578125,
"mean": 7.99927392578125,
"stdev": 0.0,
"p50": 7.99927392578125,
"p90": 7.99927392578125,
"p95": 7.99927392578125,
"p99": 7.99927392578125,
"values": [
7.99927392578125
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 2442.518528,
"max_global_vram": 0.0,
"max_process_vram": 0.0,
"max_reserved": 148.897792,
"max_allocated": 113.516032
},
"latency": {
"unit": "s",
"count": 125,
"total": 0.9947714557647706,
"mean": 0.007958171646118164,
"stdev": 0.0004949117403206781,
"p50": 0.007787975788116455,
"p90": 0.008611141204833984,
"p95": 0.00862752513885498,
"p99": 0.009410543556213383,
"values": [
0.008099493980407714,
0.008106534957885742,
0.00798109483718872,
0.008013094902038574,
0.008022374153137207,
0.008072614669799805,
0.00790141487121582,
0.007857574939727783,
0.008055974960327148,
0.007857094764709473,
0.007797895908355713,
0.007832775115966797,
0.007803336143493652,
0.0078108558654785155,
0.007775176048278809,
0.008064775466918946,
0.007789256095886231,
0.007736935138702393,
0.007963815212249755,
0.007715335845947266,
0.0077252559661865235,
0.0076866960525512696,
0.007701416015625,
0.007673096179962158,
0.008065094947814941,
0.007697415828704834,
0.00771037483215332,
0.009592289924621583,
0.007970055103302003,
0.007969894886016845,
0.008347813606262206,
0.008630373001098634,
0.00861693286895752,
0.011228764533996582,
0.008835013389587403,
0.008607973098754882,
0.008600933074951172,
0.00858413314819336,
0.008634853363037109,
0.008589893341064454,
0.008593413352966308,
0.00859821319580078,
0.008629093170166016,
0.008612293243408203,
0.008636452674865723,
0.008599653244018554,
0.008615973472595215,
0.008606212615966797,
0.008615973472595215,
0.008609413146972656,
0.008583972930908203,
0.00862125301361084,
0.008617093086242675,
0.008594853401184082,
0.008510533332824708,
0.00803741455078125,
0.007668136119842529,
0.007588137149810791,
0.007586377143859863,
0.0075705361366271975,
0.007610216140747071,
0.007582856178283691,
0.007590536117553711,
0.007597576141357422,
0.007579815864562988,
0.007596776962280273,
0.007787975788116455,
0.007618055820465088,
0.0075868558883667,
0.007623976230621338,
0.007609735965728759,
0.007608615875244141,
0.007629255771636963,
0.007646215915679932,
0.007597896099090576,
0.007839816093444824,
0.007601417064666748,
0.007598536014556885,
0.007581575870513916,
0.007596615791320801,
0.007599656105041504,
0.007629576206207275,
0.007615335941314697,
0.0076114959716796875,
0.007833415031433106,
0.007652616024017334,
0.007606855869293213,
0.007642695903778076,
0.007643176078796387,
0.007617576122283936,
0.007647336006164551,
0.0076468558311462405,
0.007635176181793213,
0.007635496139526367,
0.007853254795074463,
0.007895336151123047,
0.007826695919036866,
0.008291334152221679,
0.008171174049377441,
0.008144615173339843,
0.007631176948547363,
0.007627976894378662,
0.00775437593460083,
0.007639976024627686,
0.007626696109771729,
0.007633895874023438,
0.00775485610961914,
0.0076114959716796875,
0.007657735824584961,
0.007619816780090332,
0.007643657207489014,
0.007623977184295654,
0.007631816864013672,
0.007626057147979736,
0.007626057147979736,
0.007657576084136963,
0.008003655433654786,
0.007870055198669434,
0.007904294967651368,
0.007841576099395751,
0.0076207761764526365,
0.007810375213623047,
0.007824135780334472,
0.007986215114593506,
0.007638536930084229
]
},
"throughput": {
"unit": "samples/s",
"value": 125.65700319969598
},
"energy": null,
"efficiency": null
}
}
}