IlyasMoutawwakil's picture
Upload cpu_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
1689dfc verified
raw
history blame
6.15 kB
{
"config": {
"name": "cpu_inference_transformers_token-classification_microsoft/deberta-v3-base",
"backend": {
"name": "pytorch",
"version": "2.4.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "token-classification",
"library": "transformers",
"model_type": "deberta-v2",
"model": "microsoft/deberta-v3-base",
"processor": "microsoft/deberta-v3-base",
"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": "ab5cca637c4d04c05b877ae9d59a826198357fda",
"transformers_version": "4.44.0",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.8",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 1165.922304,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.870193220999965,
"mean": 4.870193220999965,
"stdev": 0.0,
"p50": 4.870193220999965,
"p90": 4.870193220999965,
"p95": 4.870193220999965,
"p99": 4.870193220999965,
"values": [
4.870193220999965
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 6.824041579444611e-05,
"ram": 2.85226431678927e-06,
"gpu": 0,
"total": 7.109268011123539e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1193.889792,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 7,
"total": 1.043990793999967,
"mean": 0.1491415419999953,
"stdev": 0.007365163866683672,
"p50": 0.15125327799995603,
"p90": 0.15565221340000335,
"p95": 0.15838267870000777,
"p99": 0.1605670509400113,
"values": [
0.15059708500001534,
0.15125327799995603,
0.15149925700001177,
0.15201159299999745,
0.1611131440000122,
0.13920507199998156,
0.13831136499999275
]
},
"throughput": {
"unit": "samples/s",
"value": 6.705039968005907
},
"energy": {
"unit": "kWh",
"cpu": 5.8500325333334846e-06,
"ram": 2.4448664105120656e-07,
"gpu": 0.0,
"total": 6.094519174384691e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 164081.85311861965
}
}
}
}