mmdnn/conversion/coreml/coreml_emitter.py [219:252]:
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        padding = self._get_padding(IR_node)

        if isinstance(padding, list):
            border_mode = "valid"
            # see protobuf
            padding_top, padding_left, padding_bottom, padding_right = padding[1], padding [2], padding[5], padding [6]
        else:
            border_mode = "same"
            padding_top, padding_left, padding_bottom, padding_right = 0, 0, 0, 0


        input_name = self.IR_graph.get_parent(IR_node.name, [0]).real_name

        self.builder.add_convolution(name=IR_node.real_name,
                                     kernel_channels=kernel_channels,
                                     output_channels=output_channels,
                                     height=height,
                                     width=width,
                                     stride_height=stride_height,
                                     stride_width=stride_width,
                                     border_mode= border_mode,
                                     groups=groups,
                                     W=W,
                                     b=b,
                                     has_bias=has_bias,
                                     is_deconv=is_deconv,
                                     output_shape=output_shape,
                                     input_name=input_name,
                                     padding_top= padding_top,
                                     padding_left= padding_left,
                                     padding_bottom= padding_bottom,
                                     padding_right= padding_right,
                                     output_name=IR_node.real_name,
                                     dilation_factors=dilations)
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mmdnn/conversion/coreml/coreml_emitter.py [296:329]:
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        padding = self._get_padding(IR_node)

        if isinstance(padding, list):
            border_mode = "valid"
            # see protobuf
            padding_top, padding_left, padding_bottom, padding_right = padding[1], padding [2], padding[5], padding [6]
        else:
            border_mode = "same"
            padding_top, padding_left, padding_bottom, padding_right = 0, 0, 0, 0


        input_name = self.IR_graph.get_parent(IR_node.name, [0]).real_name

        self.builder.add_convolution(name=IR_node.real_name,
                                     kernel_channels=kernel_channels,
                                     output_channels=output_channels,
                                     height=height,
                                     width=width,
                                     stride_height=stride_height,
                                     stride_width=stride_width,
                                     border_mode= border_mode,
                                     groups=groups,
                                     W=W,
                                     b=b,
                                     has_bias=has_bias,
                                     is_deconv=is_deconv,
                                     output_shape=output_shape,
                                     input_name=input_name,
                                     padding_top= padding_top,
                                     padding_left= padding_left,
                                     padding_bottom= padding_bottom,
                                     padding_right= padding_right,
                                     output_name=IR_node.real_name,
                                     dilation_factors=dilations)
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