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84 lines
2.2 KiB
Python
84 lines
2.2 KiB
Python
from easydict import EasyDict as edict
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import math
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import numpy as np
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# make training faster
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# our RAM is 256G
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# mount -t tmpfs -o size=140G tmpfs /train_tmp
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config = edict()
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config.loss = "cosface"
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config.network = "r50"
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config.resume = False
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config.output = "ms1mv3_arcface_r50"
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config.dataset = "ms1m-retinaface-t1"
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config.embedding_size = 512
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config.sample_rate = 1
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config.fp16 = True
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config.momentum = 0.9
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config.weight_decay = 5e-4
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config.batch_size = 128
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config.lr = 0.1 # batch size is 512
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config.model_load_dir = ''
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config.val_batch_size = 10
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config.node_ips = ["192.168.1.13"]
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config.num_nodes = 1
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config.device_num_per_node = 1
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config.model_parallel = 1
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config.partial_fc = 0
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config.use_synthetic_data = False
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config.fc_type = "FC"
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config.nccl_fusion_threshold_mb = 16
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config.nccl_fusion_max_ops = 64
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config.val_dataset_dir = "/train_tmp/glint360k/val"
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config.part_name_prefix = "part-"
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config.part_name_suffix_length = 5
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config.train_data_part_num = 16
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config.shuffle = True
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if config.dataset == "emore":
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config.ofrecord_path = "/train_tmp/faces_emore"
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config.num_classes = 85742
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config.num_image = 5822653
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config.num_epoch = 16
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config.warmup_epoch = -1
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config.decay_epoch = [8, 14, ]
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config.val_targets = ["lfw", ]
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config.train_data_part_num = 32
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elif config.dataset == "ms1m-retinaface-t1":
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config.ofrecord_path = "/dev/shm/ms1m-retinaface-t1/ofrecord"
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config.num_classes = 93432
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config.num_image = 5179510
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config.num_epoch = 25
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config.warmup_epoch = -1
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config.decay_epoch = [11, 17, 22]
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config.val_targets = ["lfw", "cfp_fp", "agedb_30"]
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config.train_data_part_num = 32
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elif config.dataset == "glint360k":
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config.ofrecord_path = "/train_tmp/glint360k"
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config.num_classes = 360232
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config.num_image = 17091657
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config.num_epoch = 20
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config.warmup_epoch = -1
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config.decay_epoch = [8, 12, 15, 18]
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config.val_targets = ["lfw", "cfp_fp", "agedb_30"]
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elif config.dataset == "webface":
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config.ofrecord_path = "/train_tmp/faces_webface_112x112"
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config.num_classes = 10572
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config.num_image = "forget"
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config.num_epoch = 34
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config.warmup_epoch = -1
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config.decay_epoch = [20, 28, 32]
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config.val_targets = ["lfw", "cfp_fp", "agedb_30"]
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