88ff1953e94cfbbcd53f4d659a1099fce8a7344e,tensorlayer/layers/convolution.py,DownSampling2dLayer,__init__,#DownSampling2dLayer#Any#Any#Any#Any#Any#Any#,581

Before Change

            align_corners=False,
            name="downsample2d_layer",
    ):
        Layer.__init__(self, prev_layer=prev_layer, name=name)
        self.inputs = prev_layer.outputs
        if len(self.inputs.get_shape()) == 3:
            if is_scale:
                size_h = size[0] * int(self.inputs.get_shape()[0])

After Change

        self.inputs = prev_layer.outputs

        if not isinstance(size, (list, tuple)) and len(size) == 2:
            raise AssertionError()

        if len(self.inputs.get_shape()) == 3:
            if is_scale:
                size_h = size[0] * int(self.inputs.get_shape()[0])
                size_w = size[1] * int(self.inputs.get_shape()[1])

Instances