File size: 7,070 Bytes
fb87904 66001ae fb87904 20dc9bb aec5f23 c6333ce fb87904 c6333ce fb87904 fa83ef7 76c95c5 fb87904 2b2a774 fb87904 1a92a73 fb87904 2748924 fb87904 159104f 1a92a73 65008a9 fb87904 66001ae fb87904 65008a9 fb87904 8b13191 fb87904 d48868c fb87904 1a92a73 fb87904 1a92a73 fb87904 1a92a73 fb87904 1a92a73 fb87904 1a92a73 fb87904 1a92a73 fb87904 1a92a73 fb87904 1a92a73 fb87904 1a92a73 fb87904 1a92a73 fb87904 1a92a73 fb87904 1a92a73 fb87904 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 |
{
"config": {
"name": "cpu_training_transformers_image-classification_google/vit-base-patch16-224",
"backend": {
"name": "pytorch",
"version": "2.4.0+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": "training",
"_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
"max_steps": 5,
"warmup_steps": 2,
"dataset_shapes": {
"dataset_size": 500,
"sequence_length": 16,
"num_choices": 1
},
"training_arguments": {
"per_device_train_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": "./trainer_output",
"evaluation_strategy": "no",
"eval_strategy": "no",
"save_strategy": "no",
"do_train": true,
"use_cpu": false,
"max_steps": 5,
"do_eval": false,
"do_predict": false,
"report_to": "none",
"skip_memory_metrics": true,
"ddp_find_unused_parameters": false
},
"latency": true,
"memory": true,
"energy": false
},
"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": "6d9d5ca2350731ed23f64c0368b5a761377a7dae",
"transformers_version": "4.44.0",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.8",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 2480.86528,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 5,
"total": 7.715547178000008,
"mean": 1.5431094356000017,
"stdev": 0.05529655937986578,
"p50": 1.514562600999966,
"p90": 1.6063214125999934,
"p95": 1.6285141297999872,
"p99": 1.646268303559982,
"values": [
1.6507068469999808,
1.5397432610000124,
1.514562600999966,
1.5085097020000262,
1.502024767000023
]
},
"throughput": {
"unit": "samples/s",
"value": 6.4804217829902235
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2480.86528,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 2,
"total": 3.190450107999993,
"mean": 1.5952250539999966,
"stdev": 0.055481792999984236,
"p50": 1.5952250539999966,
"p90": 1.639610488399984,
"p95": 1.6451586676999823,
"p99": 1.649597211139981,
"values": [
1.6507068469999808,
1.5397432610000124
]
},
"throughput": {
"unit": "samples/s",
"value": 2.507483185504187
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2480.86528,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 3,
"total": 4.525097070000015,
"mean": 1.508365690000005,
"stdev": 0.005119562152153485,
"p50": 1.5085097020000262,
"p90": 1.513352021199978,
"p95": 1.513957311099972,
"p99": 1.5144415430199671,
"values": [
1.514562600999966,
1.5085097020000262,
1.502024767000023
]
},
"throughput": {
"unit": "samples/s",
"value": 3.9778152206577833
},
"energy": null,
"efficiency": null
}
}
} |