IlyasMoutawwakil's picture
Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
e194e44 verified
raw
history blame
6.92 kB
{
"config": {
"name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.4.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "fill-mask",
"library": "transformers",
"model_type": "bert",
"model": "google-bert/bert-base-uncased",
"processor": "google-bert/bert-base-uncased",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"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,
"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": false,
"device_isolation_action": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.338112,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": "b437841d8ac0f8671c66ca6a8aa4cc123563284f",
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.2",
"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": 970.24,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.387582371999997,
"mean": 4.387582371999997,
"stdev": 0.0,
"p50": 4.387582371999997,
"p90": 4.387582371999997,
"p95": 4.387582371999997,
"p99": 4.387582371999997,
"values": [
4.387582371999997
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 5.404258595555626e-05,
"ram": 2.258742838064431e-06,
"gpu": 0,
"total": 5.6301328793620695e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 883.798016,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 26,
"total": 1.0082757899999706,
"mean": 0.038779838076921945,
"stdev": 0.0008301811539256552,
"p50": 0.03863479049999796,
"p90": 0.03930182849998687,
"p95": 0.039374060249983245,
"p99": 0.04168432124996002,
"values": [
0.03903239199996733,
0.038452269999993405,
0.03891940100004376,
0.038133936999997786,
0.03842572100001007,
0.03854528400000845,
0.038868796999963706,
0.03833212699998967,
0.039264123000009477,
0.03881113900001765,
0.03873641900003122,
0.03917454600002657,
0.03938556899998957,
0.03933953399996426,
0.03824788899999021,
0.03880210299996634,
0.03852526600002193,
0.03872429699998747,
0.038806399999998575,
0.038222141999995074,
0.03831951300003311,
0.038274268000009215,
0.03793598900000461,
0.038176346000000194,
0.04245057199995017,
0.03836974600000076
]
},
"throughput": {
"unit": "samples/s",
"value": 25.786595550410627
},
"energy": {
"unit": "kWh",
"cpu": 1.4637159559671033e-06,
"ram": 6.117063816185095e-08,
"gpu": 0.0,
"total": 1.5248865941289543e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 655786.4721548163
}
}
}
}