Пример #1
0
    def get_out_shape(ishape, kshape, border_mode, subsample):
        """
        This function computes the output shape for a convolution with
        the specified parameters. `ishape` and `kshape` can be symbolic
        or scalar.

        """
        return get_conv_output_shape(ishape, kshape, border_mode, subsample)
Пример #2
0
 def infer_shape(self, node, input_shape):
     imshp = input_shape[0]
     kshp = input_shape[1]
     res = get_conv_output_shape(
         imshp,
         kshp,
         self.border_mode,
         self.subsample)
     return [res]
Пример #3
0
    def get_out_shape(ishape, kshape, border_mode, subsample):
        """
        This function computes the output shape for a convolution with
        the specified parameters. `ishape` and `kshape` can be symbolic
        or scalar.

        """
        return get_conv_output_shape(
            ishape,
            kshape,
            border_mode,
            subsample)
Пример #4
0
 def infer_shape(self, node, input_shape):
     imshp = input_shape[0]
     kshp = input_shape[1]
     res = get_conv_output_shape(imshp, kshp, self.border_mode,
                                 self.subsample)
     return [res]