fast-reid/fastreid/modeling/backbones/regnet/regnety/RegNetY-16GF_dds_8gpu.yaml

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YAML

MODEL:
TYPE: regnet
NUM_CLASSES: 1000
REGNET:
SE_ON: True
DEPTH: 18
W0: 200
WA: 106.23
WM: 2.48
GROUP_W: 112
OPTIM:
LR_POLICY: cos
BASE_LR: 0.2
MAX_EPOCH: 100
MOMENTUM: 0.9
WEIGHT_DECAY: 5e-5
WARMUP_ITERS: 5
TRAIN:
DATASET: imagenet
IM_SIZE: 224
BATCH_SIZE: 256
TEST:
DATASET: imagenet
IM_SIZE: 256
BATCH_SIZE: 200
NUM_GPUS: 8
OUT_DIR: .