IlyasMoutawwakil's picture
Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
0716ea2 verified
raw
history blame
6.75 kB
{
"config": {
"name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.4.1+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": 16757.342208,
"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": "a38b9ad1f603bed36d9a51f418af821526aa4776",
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.34.0",
"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": 969.416704,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.49780429599997,
"mean": 4.49780429599997,
"stdev": 0.0,
"p50": 4.49780429599997,
"p90": 4.49780429599997,
"p95": 4.49780429599997,
"p99": 4.49780429599997,
"values": [
4.49780429599997
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 5.072661249444429e-05,
"ram": 2.120143088952673e-06,
"gpu": 0,
"total": 5.2846755583396965e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 885.374976,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 22,
"total": 1.0219324870000719,
"mean": 0.04645147668182145,
"stdev": 0.001133380782730623,
"p50": 0.046343054499999425,
"p90": 0.048113993900034305,
"p95": 0.048557913999979975,
"p99": 0.048910183669955816,
"values": [
0.047265577000018766,
0.046241289000022334,
0.04526365800001031,
0.04577156400000604,
0.045646890999989864,
0.04679975999999897,
0.04857777299997679,
0.04668697900001462,
0.045771742999988874,
0.04751460199997837,
0.04684245999999348,
0.04899854599995024,
0.04585865600000716,
0.04634685700000318,
0.044788392000043586,
0.04637210200002073,
0.04444618399998035,
0.04687420900000916,
0.04514725100000305,
0.04619814900001984,
0.04818059300004052,
0.04633925199999567
]
},
"throughput": {
"unit": "samples/s",
"value": 21.527840909121085
},
"energy": {
"unit": "kWh",
"cpu": 1.5778642288888959e-06,
"ram": 6.594089423846051e-08,
"gpu": 0.0,
"total": 1.6438051231273564e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 608344.6181853294
}
}
}
}