IlyasMoutawwakil's picture
Upload cpu_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
fc52db2 verified
raw
history blame
6.02 kB
{
"config": {
"name": "cpu_inference_transformers_image-classification_google/vit-base-patch16-224",
"backend": {
"name": "pytorch",
"version": "2.4.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "image-classification",
"library": "transformers",
"model_type": "vit",
"model": "google/vit-base-patch16-224",
"processor": "google/vit-base-patch16-224",
"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": "4a884fa4ee31f882ca8d7e63513b8fff8137b30d",
"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": 807.817216,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.280374219999999,
"mean": 4.280374219999999,
"stdev": 0.0,
"p50": 4.280374219999999,
"p90": 4.280374219999999,
"p95": 4.280374219999999,
"p99": 4.280374219999999,
"values": [
4.280374219999999
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 4.535651306666814e-05,
"ram": 1.8967297071547284e-06,
"gpu": 0,
"total": 4.725324277382287e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 826.691584,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 4,
"total": 1.0014275110000312,
"mean": 0.2503568777500078,
"stdev": 0.014153046752497818,
"p50": 0.2549923285000091,
"p90": 0.2629045143000212,
"p95": 0.2630406721500208,
"p99": 0.26314959843002045,
"values": [
0.26317683000002035,
0.26226911100002326,
0.2477155459999949,
0.22826602399999274
]
},
"throughput": {
"unit": "samples/s",
"value": 3.9942980955312253
},
"energy": {
"unit": "kWh",
"cpu": 8.998818383333414e-06,
"ram": 3.762957147001918e-07,
"gpu": 0.0,
"total": 9.375114098033607e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 106665.36850039467
}
}
}
}