IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
445db7f verified
raw
history blame
7.01 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": 16766.767104,
"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": "0.4.0",
"optimum_benchmark_commit": "dad41f7a1213c56e1c7e335e5ce6e7b2ddb68a83",
"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": 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": 941.641728,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.3970706179999866,
"mean": 4.3970706179999866,
"stdev": 0.0,
"p50": 4.3970706179999866,
"p90": 4.3970706179999866,
"p95": 4.3970706179999866,
"p99": 4.3970706179999866,
"values": [
4.3970706179999866
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 4.823239831666608e-05,
"ram": 2.0170194718628813e-06,
"gpu": 0,
"total": 5.0249417788528965e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 949.506048,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 28,
"total": 1.0252606579997519,
"mean": 0.03661645207141971,
"stdev": 0.0007680997553676145,
"p50": 0.03670047949998434,
"p90": 0.03747961000001965,
"p95": 0.037523412949971656,
"p99": 0.037877373540003416,
"values": [
0.0367528819999734,
0.037171843000010085,
0.036674124999990454,
0.03443487199996298,
0.03800178900002038,
0.036293274999991354,
0.035464590999993106,
0.037012395999965975,
0.03658955800000285,
0.03589582500001143,
0.035842455000022255,
0.03749076799999784,
0.03734097799997471,
0.03685008400003653,
0.036276514000007865,
0.03747482800002899,
0.037194223999961196,
0.036119530999997096,
0.0361089919999813,
0.036726833999978226,
0.03643892699994922,
0.03617755999999872,
0.03555983900002957,
0.036071771999957036,
0.03743094599997221,
0.03754099099995756,
0.03710874500001182,
0.0372155139999677
]
},
"throughput": {
"unit": "samples/s",
"value": 27.310128191817125
},
"energy": {
"unit": "kWh",
"cpu": 1.230337874305576e-06,
"ram": 5.14463664730045e-08,
"gpu": 0.0,
"total": 1.2817842407785806e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 780162.5017581591
}
}
}
}