IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
206516b verified
raw
history blame
7.02 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.dev0",
"optimum_benchmark_commit": "d58bb2582b872c25ab476fece19d4fa78e190673",
"transformers_version": "4.45.2",
"transformers_commit": null,
"accelerate_version": "1.0.0",
"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
},
"print_report": true,
"log_report": true
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 948.36736,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.2418745559999707
],
"count": 1,
"total": 1.2418745559999707,
"mean": 1.2418745559999707,
"p50": 1.2418745559999707,
"p90": 1.2418745559999707,
"p95": 1.2418745559999707,
"p99": 1.2418745559999707,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 956.624896,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.03463428999998541,
0.034308370000019295,
0.03475067700003365,
0.03356136200000037,
0.03386831699998538,
0.034589667000034297,
0.0346217570000249,
0.03423755800002937,
0.03415185700004031,
0.03468850100000509,
0.033533890000001065,
0.0331314669999756,
0.034968836000018655,
0.03510866799996393,
0.034676138000008905,
0.03456900699995913,
0.034674245000019255,
0.03317471799999794,
0.03501726700000063,
0.03410035100000641,
0.034121540000001005,
0.03447958000003837,
0.03473288399999319,
0.03418385699995952,
0.03455161499999804,
0.033205765999980486,
0.03465340599996125,
0.032665424000015264,
0.030023058000040237,
0.0304168860000118
],
"count": 30,
"total": 1.0194009590001087,
"mean": 0.03398003196667029,
"p50": 0.03439397500002883,
"p90": 0.03477249290003215,
"p95": 0.03499547305000874,
"p99": 0.03508216170997457,
"stdev": 0.0011727608694153213,
"stdev_": 3.4513236201944646
},
"throughput": {
"unit": "samples/s",
"value": 29.429048241651497
},
"energy": {
"unit": "kWh",
"cpu": 1.1253693044444745e-06,
"ram": 4.7057832859684803e-08,
"gpu": 0.0,
"total": 1.1724271373041592e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 852931.4685596304
}
}
}
}