90fcbc6bc311bab0454ba03f0ba8fb8717460d19,chainer_/chainercv2/models/senet.py,SENet,__init__,#SENet#Any#Any#Any#Any#Any#Any#,211

Before Change

                setattr(self.output, "flatten", partial(
                    F.reshape,
                    shape=(-1, in_channels)))
                setattr(self.output, "dropout", partial(
                    F.dropout,
                    ratio=0.2))
                setattr(self.output, "fc", L.Linear(
                    in_size=in_channels,
                    out_size=classes))

After Change

                    in_channels=in_channels,
                    out_channels=init_block_channels))
                in_channels = init_block_channels
                for i, channels_per_stage in enumerate(channels):
                    stage = SimpleSequential()
                    identity_conv3x3 = (i != 0)
                    with stage.init_scope():
                        for j, out_channels in enumerate(channels_per_stage):
                            stride = 2 if (j == 0) and (i != 0) else 1
                            setattr(stage, "unit{}".format(j + 1), SENetUnit(
                                in_channels=in_channels,

Instances