IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
d0312a4 verified
raw
history blame
5.88 kB
{
"config": {
"name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"library": "transformers",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"hub_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,
"latency": true,
"memory": 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",
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.354496,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.2.0",
"optimum_benchmark_commit": "6fd377459e287bb09e9383ba2516b1b2a271a562",
"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": 938.438656,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 28,
"total": 1.0215995410001142,
"mean": 0.03648569789286122,
"stdev": 0.0008005848646550593,
"p50": 0.036659293000013804,
"p90": 0.03733936299996685,
"p95": 0.03750497559999246,
"p99": 0.037740641569969285,
"values": [
0.036768950999999106,
0.037187377999998716,
0.03699049200002946,
0.03708207299996502,
0.03467078600004925,
0.0370597620000126,
0.03732167799995523,
0.037380627999993976,
0.03780304099996101,
0.03757193199999165,
0.03482035500002212,
0.035600171999988106,
0.03664010200003531,
0.036425975000042854,
0.03583059000004596,
0.03652385600003072,
0.03646509700001843,
0.036678483999992295,
0.03626789199995528,
0.0348330580000038,
0.03696261000004597,
0.03685502100000804,
0.036109758999998576,
0.03686896699997533,
0.03555964700001368,
0.03629084400000693,
0.0369296100000156,
0.03610078099995917
]
},
"throughput": {
"unit": "samples/s",
"value": 27.407999784914615
},
"energy": {
"unit": "kWh",
"cpu": 1.2260438253482183e-06,
"ram": 5.1238421406347715e-08,
"gpu": 0.0,
"total": 1.277282246754566e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 782912.3144402032
}
}
}
}