IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
45e85e2 verified
raw
history blame
10.5 kB
{
"config": {
"name": "cuda_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.2.2+rocm5.7",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"model": "FacebookAI/roberta-base",
"library": "transformers",
"device": "cuda",
"device_ids": "0",
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"hub_kwargs": {
"revision": "main",
"force_download": false,
"local_files_only": false,
"trust_remote_code": false
},
"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": "0.2.0",
"optimum_benchmark_commit": "3e2eebdc0f80ae6deeb2e1faad3e889ed5a4df2d",
"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": "0.9.16",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1006.084096,
"max_global_vram": 897.14688,
"max_process_vram": 237518.712832,
"max_reserved": 555.74528,
"max_allocated": 499.443712
},
"latency": {
"unit": "s",
"count": 139,
"total": 0.9977614045143125,
"mean": 0.0071781396008223945,
"stdev": 0.00037241223977587106,
"p50": 0.0069807348251342775,
"p90": 0.007632312965393066,
"p95": 0.007899845886230468,
"p99": 0.00824808925628662,
"values": [
0.007517210006713867,
0.007071774005889892,
0.0069544949531555175,
0.007124413967132568,
0.00816184425354004,
0.008229043006896973,
0.008213204383850098,
0.008209362983703613,
0.007926486015319823,
0.007580090045928955,
0.0075224900245666505,
0.0074044098854064945,
0.00734713077545166,
0.0073431310653686525,
0.007378170967102051,
0.007334331035614014,
0.007396410942077636,
0.00734201192855835,
0.007269213199615479,
0.007616249084472657,
0.007276092052459717,
0.007333531856536866,
0.007116734027862549,
0.006879294872283935,
0.006884416103363037,
0.0068624958992004395,
0.00707081413269043,
0.006875454902648926,
0.007191133022308349,
0.006972734928131104,
0.006916094779968262,
0.006898335933685303,
0.006901216030120849,
0.006880415916442871,
0.006888895988464355,
0.009095754623413086,
0.00825976276397705,
0.006931135177612305,
0.006879776000976562,
0.006910816192626953,
0.0069144959449768065,
0.006955134868621826,
0.0072356128692626955,
0.0069383358955383305,
0.006967295169830323,
0.006934335231781006,
0.006948414802551269,
0.006955295085906982,
0.006953215122222901,
0.0069807348251342775,
0.006967134952545166,
0.006957534790039062,
0.006950174808502197,
0.006950815200805664,
0.006961054801940918,
0.006933216094970703,
0.006942015171051025,
0.0069709749221801755,
0.0069684147834777836,
0.006953054904937744,
0.0069564151763916015,
0.006941534996032715,
0.0069404149055480955,
0.006955134868621826,
0.006934335231781006,
0.0069709749221801755,
0.0069682540893554685,
0.007663289070129395,
0.006988414764404297,
0.006953855037689209,
0.006974174976348877,
0.006964415073394775,
0.00698713493347168,
0.006940255165100098,
0.0069752950668334965,
0.006982494831085205,
0.006957214832305908,
0.006957375049591065,
0.006972575187683105,
0.006966495037078858,
0.006954975128173828,
0.00692601490020752,
0.00697129487991333,
0.006966014862060547,
0.006943934917449951,
0.006915295124053955,
0.006927454948425293,
0.0069684147834777836,
0.006945375919342041,
0.006923935890197754,
0.006936735153198243,
0.006957534790039062,
0.006940094947814941,
0.0069655351638793946,
0.0069880948066711425,
0.006982813835144043,
0.007026334762573242,
0.006950174808502197,
0.0069807348251342775,
0.0069636149406433106,
0.00696521520614624,
0.00692985486984253,
0.006981214046478271,
0.006934014797210694,
0.007089533805847168,
0.007843926906585693,
0.00788088607788086,
0.007802327156066894,
0.007369051933288575,
0.007359131813049317,
0.007342331886291504,
0.007254332065582275,
0.007254012107849121,
0.007870165824890137,
0.007896885871887208,
0.00788792610168457,
0.007624568939208984,
0.007461050987243653,
0.007478010177612304,
0.007508090019226074,
0.007497529983520507,
0.007411931037902832,
0.007353210926055908,
0.007398489952087402,
0.007403450965881348,
0.007517048835754395,
0.007568728923797607,
0.007441530227661133,
0.006974494934082031,
0.007036894798278809,
0.006936416149139404,
0.007026334762573242,
0.007043614864349366,
0.006990815162658691,
0.007006333827972412,
0.006991134166717529,
0.006990654945373535,
0.007054173946380615,
0.0069980149269104
]
},
"throughput": {
"unit": "samples/s",
"value": 139.3118629074072
},
"energy": null,
"efficiency": null
}
}
}