8edfa441b61a8ecf11515e6007a9e21054dbad19,deeplift/blobs/convolution.py,Conv2D,_get_mxts_increments_for_inputs,#Conv2D#,178

Before Change

                - mult_times_filter_ref_on_layer_below)
         
    def _get_mxts_increments_for_inputs(self): 
        return B.conv2d_grad(
                out_grad=self.get_mxts(),
                conv_in=self._get_input_activation_vars(),
                filters=self.W,
                border_mode=self.border_mode,
                subsample=self.strides)


class ZeroPad2D(SingleInputMixin, Node):

After Change

        return to_return
         
    def _get_mxts_increments_for_inputs(self): 
        effective_mxts = self.get_mxts()
        input_act_vars = self._get_input_activation_vars()
        if (self.channels_come_last):
            effective_mxts = B.dimshuffle(effective_mxts,(0,3,1,2))   
            input_act_vars = B.dimshuffle(input_act_vars, (0,3,1,2))
        to_return = B.conv2d_grad(
                out_grad=effective_mxts,
                conv_in=input_act_vars,
                filters=self.W,
                border_mode=self.border_mode,
                subsample=self.strides)
        if (self.channels_come_last):
            to_return = B.dimshuffle(to_return,(0,2,3,1))   
        return to_return


class ZeroPad2D(SingleInputMixin, Node):

Instances