4479113488fb94b72b9aa6bb23b611b57635ff25,src/symbols/fresnet.py,,resnet,#Any#Any#Any#Any#Any#,487

Before Change

      body = Act(data=body, act_type=act_type, name="relu0")

    for i in range(num_stages):
      if version_input==0:
        body = residual_unit(body, filter_list[i+1], (1 if i==0 else 2, 1 if i==0 else 2), False,
                             name="stage%d_unit%d" % (i + 1, 1), bottle_neck=bottle_neck, **kwargs)
      else:
        body = residual_unit(body, filter_list[i+1], (2, 2), False,
          name="stage%d_unit%d" % (i + 1, 1), bottle_neck=bottle_neck, **kwargs)
      for j in range(units[i]-1):
        body = residual_unit(body, filter_list[i+1], (1,1), True, name="stage%d_unit%d" % (i+1, j+2),
          bottle_neck=bottle_neck, **kwargs)

After Change

    data = mx.sym.Variable(name="data")
    if version_input==0:
      //data = mx.sym.BatchNorm(data=data, fix_gamma=True, eps=2e-5, momentum=bn_mom, name="bn_data")
      data = mx.sym.identity(data=data, name="id")
      data = data-127.5
      data = data*0.0078125
      body = Conv(data=data, num_filter=filter_list[0], kernel=(7, 7), stride=(2,2), pad=(3, 3),
                                no_bias=True, name="conv0", workspace=workspace)

Instances