modify weight init

example/resnet101_imagenet2012/train.py

@@ -14,7 +14,6 @@
 # ============================================================================
 """train_imagenet."""
 import os
-import math
 import argparse
 import random
 import numpy as np
@@ -64,7 +63,6 @@ if __name__ == '__main__':
     epoch_size = config.epoch_size
     net = resnet101(class_num=config.class_num)
     # weight init
-    default_recurisive_init(net)
     for _, cell in net.cells_and_names():
         if isinstance(cell, nn.Conv2d):
             cell.weight.default_input = weight_init.initializer(weight_init.XavierUniform(),