c1d2e0e7dc79e4f1a91ef007771347e475f301e5,gluon/gluoncv2/models/bninception.py,InceptionDouble3x3Branch,__init__,#InceptionDouble3x3Branch#Any#Any#Any#Any#Any#,79

Before Change

                out_channels=out_channels,
                use_bias=True,
                bn_use_global_stats=bn_use_global_stats)
            self.conv3 = conv3x3_block(
                in_channels=out_channels,
                out_channels=out_channels,
                strides=strides,
                use_bias=True,
                bn_use_global_stats=bn_use_global_stats)

    def hybrid_forward(self, F, x):
        x = self.conv1(x)
        x = self.conv2(x)

After Change

    use_bias : bool
        Whether the convolution layer uses a bias vector.
    use_bn : bool
        Whether to use BatchNorm layers.
    bn_use_global_stats : bool
        Whether global moving statistics is used instead of local batch-norm for BatchNorm layers.
    
    def __init__(self,
                 in_channels,
                 out_channels,
                 avg_pool,

Instances