IlyasMoutawwakil's picture
Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
82663ae verified
raw
history blame
6.9 kB
{
"config": {
"name": "cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"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": "11fc1578907ddfc66a9a7fb8f19815e001677ad1",
"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": 949.02272,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
4.396634223000035
],
"count": 1,
"total": 4.396634223000035,
"mean": 4.396634223000035,
"p50": 4.396634223000035,
"p90": 4.396634223000035,
"p95": 4.396634223000035,
"p99": 4.396634223000035,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 4.8174487783332636e-05,
"ram": 2.014552909327014e-06,
"gpu": 0,
"total": 5.018904069265965e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 960.65536,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.04429098299999623,
0.04387259699996093,
0.0434552730000064,
0.04444765699997788,
0.043792816999996376,
0.043447518999983004,
0.04358106899996983,
0.04414540899995245,
0.04392214000000649,
0.04379939900002228,
0.04342429500002254,
0.04361827899998616,
0.04364403699997865,
0.044020885000009,
0.04348806399997329,
0.043620524000004934,
0.04377876099999867,
0.04160964099997955,
0.03869096599999011,
0.03846992000001137,
0.038648073999979715,
0.04209717199995566,
0.039465981000034844,
0.03886018299999705
],
"count": 24,
"total": 1.0221916449997934,
"mean": 0.04259131854165806,
"p50": 0.043599673999977995,
"p90": 0.04410805179996942,
"p95": 0.04426914689998966,
"p99": 0.0444116219799821,
"stdev": 0.002024265408112495,
"stdev_": 4.752765299183178
},
"throughput": {
"unit": "samples/s",
"value": 23.478963184056205
},
"energy": {
"unit": "kWh",
"cpu": 1.5504305025640902e-06,
"ram": 6.483255537522708e-08,
"gpu": 0.0,
"total": 1.6152630579393173e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 619094.2057919387
}
}
}
}