3c9a0f9e53742ae95b394e2016b1a3a391049d77,lib/model/layers.py,KResizeImages,call,#KResizeImages#Any#,211

Before Change

        tensor
            A tensor or list/tuple of tensors
        
        return K.resize_images(inputs,
                               self.size,
                               self.size,
                               "channels_last",
                               interpolation=self.interpolation)

    def compute_output_shape(self, input_shape):
        Computes the output shape of the layer.

After Change

        tensor
            A tensor or list/tuple of tensors
        
        if isinstance(self.size, int):
            retval = K.resize_images(inputs,
                                     self.size,
                                     self.size,
                                     "channels_last",
                                     interpolation=self.interpolation)
        else:
            // Arbitrary resizing
            size = int(round(K.int_shape(inputs)[1] * self.size))
            if get_backend() != "amd":
                retval = tf.image.resize(inputs, (size, size), method=self.interpolation)
            else:
                raise NotImplementedError
            return retval

    def compute_output_shape(self, input_shape):
        Computes the output shape of the layer.

        This is the input shape with size dimensions multiplied by :attr:`size`

Instances