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- [builder.py: 170]: Config:
- BENCHMARK:
- NB201PATH: ./data/NAS-Bench-201-v1_1-096897.pth
- NB301PATH: ./data/nb301models/
- CUDNN_BENCH: True
- DARTS:
- ALPHA_LR: 0.0003
- ALPHA_WEIGHT_DECAY: 0.001
- UNROLLED: True
- DETERMINSTIC: True
- EVAL_PERIOD: 1
- LOADER:
- BATCH_SIZE: 32
- DATAPATH:
- DATASET: mnist
- NUM_CLASSES: 10
- NUM_WORKERS: 8
- PIN_MEMORY: True
- SPLIT: [0.5, 0.5]
- USE_VAL: False
- LOG_PERIOD: 10
- NUM_GPUS: 1
- OPTIM:
- BASE_LR: 0.1
- DAMPENING: 0.0
- FINAL_EPOCH: 0
- GRAD_CLIP: 5.0
- LR_MULT: 0.1
- LR_POLICY: cos
- MAX_EPOCH: 5
- MIN_LR: 0.001
- MOMENTUM: 0.9
- NESTEROV: False
- STEPS: [30, 60, 90]
- WARMUP_EPOCH: 0
- WARMUP_FACTOR: 0.1
- WEIGHT_DECAY: 0.0005
- OUT_DIR: exp/mnist/seed666
- RNG_SEED: 666
- SAVE_PERIOD: 1
- SEARCH:
- AUTO_RESUME: True
- EVALUATION:
- IM_SIZE: 28
- INPUT_CHANNELS: 3
- LABEL_SMOOTH: 0.0
- LOSS_FUN: cross_entropy
- MULTI_SIZES: []
- WEIGHTS:
- SPACE:
- BASIC_OP: []
- CHANNELS: 16
- LAYERS: 5
- NAME: nasbench201
- NODES: 4
- TEST:
- BATCH_SIZE: 128
- IM_SIZE: 224
- TRAIN:
- CHANNELS: 36
- DROP_PATH_PROB: 0.2
- GENOTYPE:
- IM_SIZE: 32
- INPUT_CHANNELS: 3
- LAYERS: 20
- [builder.py: 171]: json_stats: {"BENCHMARK": {"NB201PATH": "./data/NAS-Bench-201-v1_1-096897.pth", "NB301PATH": "./data/nb301models/"}, "CUDNN_BENCH": true, "DARTS": {"ALPHA_LR": 0.0003, "ALPHA_WEIGHT_DECAY": 0.0010, "UNROLLED": true}, "DETERMINSTIC": true, "EVAL_PERIOD": 1, "LOADER": {"BATCH_SIZE": 32, "DATAPATH": "", "DATASET": "mnist", "NUM_CLASSES": 10, "NUM_WORKERS": 8, "PIN_MEMORY": true, "SPLIT": [0.5, 0.5], "USE_VAL": false}, "LOG_PERIOD": 10, "NUM_GPUS": 1, "OPTIM": {"BASE_LR": 0.1000, "DAMPENING": 0.0000, "FINAL_EPOCH": 0, "GRAD_CLIP": 5.0000, "LR_MULT": 0.1000, "LR_POLICY": "cos", "MAX_EPOCH": 5, "MIN_LR": 0.0010, "MOMENTUM": 0.9000, "NESTEROV": false, "STEPS": [30, 60, 90], "WARMUP_EPOCH": 0, "WARMUP_FACTOR": 0.1000, "WEIGHT_DECAY": 0.0005}, "OUT_DIR": "exp/mnist/seed666", "RNG_SEED": 666, "SAVE_PERIOD": 1, "SEARCH": {"AUTO_RESUME": true, "EVALUATION": "", "IM_SIZE": 28, "INPUT_CHANNELS": 3, "LABEL_SMOOTH": 0.0000, "LOSS_FUN": "cross_entropy", "MULTI_SIZES": [], "WEIGHTS": ""}, "SPACE": {"BASIC_OP": [], "CHANNELS": 16, "LAYERS": 5, "NAME": "nasbench201", "NODES": 4}, "TEST": {"BATCH_SIZE": 128, "IM_SIZE": 224}, "TRAIN": {"CHANNELS": 36, "DROP_PATH_PROB": 0.2000, "GENOTYPE": "", "IM_SIZE": 32, "INPUT_CHANNELS": 3, "LAYERS": 20}, "_type": "cfg"}
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- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:39:12", "iter": "20/938", "loss": 1.7149, "lr": 0.1000, "mem": 752, "time_avg": 3.5873, "time_diff": 3.6337, "top1_err": 57.8125, "top5_err": 14.6875}
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- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:34:18", "iter": "50/938", "loss": 1.0925, "lr": 0.1000, "mem": 752, "time_avg": 3.5470, "time_diff": 3.5555, "top1_err": 38.7500, "top5_err": 3.4375}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:33:51", "iter": "60/938", "loss": 0.9390, "lr": 0.1000, "mem": 752, "time_avg": 3.5490, "time_diff": 3.5236, "top1_err": 33.1250, "top5_err": 1.5625}
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- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:31:35", "iter": "150/938", "loss": 0.6364, "lr": 0.1000, "mem": 752, "time_avg": 3.5893, "time_diff": 3.6001, "top1_err": 19.6875, "top5_err": 2.5000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:31:14", "iter": "160/938", "loss": 0.5980, "lr": 0.1000, "mem": 752, "time_avg": 3.5927, "time_diff": 3.7201, "top1_err": 17.1875, "top5_err": 1.8750}
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- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "740/938", "mem": 752, "time_avg": 0.0650, "time_diff": 0.0625, "top1_err": 0.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "750/938", "mem": 752, "time_avg": 0.0649, "time_diff": 0.0596, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "760/938", "mem": 752, "time_avg": 0.0648, "time_diff": 0.0565, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "770/938", "mem": 752, "time_avg": 0.0648, "time_diff": 0.0742, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "780/938", "mem": 752, "time_avg": 0.0647, "time_diff": 0.0577, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "790/938", "mem": 752, "time_avg": 0.0647, "time_diff": 0.0657, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "800/938", "mem": 752, "time_avg": 0.0646, "time_diff": 0.0571, "top1_err": 0.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "810/938", "mem": 752, "time_avg": 0.0646, "time_diff": 0.0727, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "820/938", "mem": 752, "time_avg": 0.0645, "time_diff": 0.0780, "top1_err": 1.2500, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "830/938", "mem": 752, "time_avg": 0.0645, "time_diff": 0.0630, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "840/938", "mem": 752, "time_avg": 0.0644, "time_diff": 0.0553, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "850/938", "mem": 752, "time_avg": 0.0644, "time_diff": 0.0680, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "860/938", "mem": 752, "time_avg": 0.0644, "time_diff": 0.0578, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "870/938", "mem": 752, "time_avg": 0.0644, "time_diff": 0.0874, "top1_err": 0.6250, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "880/938", "mem": 752, "time_avg": 0.0643, "time_diff": 0.0564, "top1_err": 0.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "890/938", "mem": 752, "time_avg": 0.0642, "time_diff": 0.0550, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "900/938", "mem": 752, "time_avg": 0.0641, "time_diff": 0.0520, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "910/938", "mem": 752, "time_avg": 0.0640, "time_diff": 0.0513, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "920/938", "mem": 752, "time_avg": 0.0639, "time_diff": 0.0556, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "930/938", "mem": 752, "time_avg": 0.0638, "time_diff": 0.0499, "top1_err": 1.8750, "top5_err": 0.3125}
- [meter.py: 297]: json_stats: {"_type": "test_epoch", "epoch": "5/5", "mem": 752, "min_top1_err": 1.5033, "min_top5_err": 0.0233, "top1_err": 1.5033, "top5_err": 0.0233}
-
- Training procedure completed for SNG.
- Final Accuracy = 72.3
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