fast-reid/fastreid/modeling/backbones/regnet/regnetx/RegNetX-32GF_dds_8gpu.yaml

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YAML

MODEL:
TYPE: regnet
NUM_CLASSES: 1000
REGNET:
DEPTH: 23
W0: 320
WA: 69.86
WM: 2.0
GROUP_W: 168
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: .