IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
4d65ede verified
raw
history blame
No virus
7.12 kB
{
"config": {
"name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"library": "transformers",
"model_type": "roberta",
"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": {},
"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": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.7712,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0",
"optimum_benchmark_commit": "39d0314f9cf4240111640faabd3741cc6d1a4aa3",
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.34.2",
"accelerate_commit": null,
"diffusers_version": "0.30.3",
"diffusers_commit": null,
"optimum_version": "1.22.0",
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 947.11808,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
4.652912686999969
],
"count": 1,
"total": 4.652912686999969,
"mean": 4.652912686999969,
"p50": 4.652912686999969,
"p90": 4.652912686999969,
"p95": 4.652912686999969,
"p99": 4.652912686999969,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 4.848178875555568e-05,
"ram": 2.0273971704105373e-06,
"gpu": 0,
"total": 5.050918592596622e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 955.506688,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.03897515800002793,
0.03749728899998672,
0.03746151200004988,
0.036999363000006724,
0.038119185000027755,
0.0392765279999594,
0.03976677999997946,
0.03998635900001091,
0.03790993600000547,
0.03769559800002753,
0.03822740700002214,
0.03776818199997933,
0.03680239700003085,
0.036072025000009944,
0.03160333499999979,
0.031544546000020546,
0.03110224400001016,
0.03271917100005339,
0.035031622000019524,
0.032109366999975464,
0.03235635700002604,
0.033738768000034725,
0.03179031400003396,
0.03156702800004041,
0.0324532259999728,
0.032514499999990676,
0.03284502500002873,
0.032344934999969155,
0.03281736399998181
],
"count": 29,
"total": 1.0190955210002812,
"mean": 0.035141224862078664,
"p50": 0.035031622000019524,
"p90": 0.03903543200001423,
"p95": 0.03957067919997143,
"p99": 0.039924876880002104,
"stdev": 0.002978937999681973,
"stdev_": 8.477046578124778
},
"throughput": {
"unit": "samples/s",
"value": 28.4566062772363
},
"energy": {
"unit": "kWh",
"cpu": 1.2995245127239525e-06,
"ram": 5.4340457232747315e-08,
"gpu": 0.0,
"total": 1.3538649699567e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 738626.0980162465
}
}
}
}