2b7f4471e764dd4b1a924837b6f515ad7e8a294a,coremltools/converters/nnssa/coreml/ssa_converter.py,SSAConverter,_convert_set_global,#SSAConverter#Any#,924

Before Change

                                 input_name=input_names[0],
                                 output_name=output_name)

        shapes.propagate_single_layer(layer, self.tensor_shapes)

        if len(node.outputs) > 0:
            layer = builder.add_copy(name=node.name,
                                     input_name=input_names[0],

After Change

        if len(node.outputs) > 0:
            self.op_tensor_map[node.name] = [input_names[0]]

        if input_nodes[0].op == "Const" and input_nodes[0].value.val.size == 0:
            return

        if output_name != input_names[0]:
            layer = builder.add_copy(name=node.name,
                                     input_name=input_names[0],
                                     output_name=output_name)

            shapes.propagate_single_layer(layer, self.tensor_shapes)

    def _convert_return(self, node):
        // When converting a body function of a loop, return node should overwrite body functions" input tensors
        pass

Instances