d1e6e624ef891543c5bba32bb0a696d350714693,coremltools/converters/nnssa/coreml/ssa_converter.py,SSAConverter,_convert_unary_trigonometric,#SSAConverter#Any#,1397

Before Change

    def _convert_unary_trigonometric(self, node):
        assert len(node.inputs) == 1
        input_name = self._get_input_tensors(node)[0]
        op = node.op.lower()  // type of the unary operator
        // assumes TensorFlow and Core ML has same op name
        func = getattr(self._get_builder(), "add_" + op)
        layer = func(name=node.name, input_name=input_name, output_name=node.name)

After Change

    def _convert_unary_trigonometric(self, node):
        assert len(node.inputs) == 1
        input_nodes, input_names, input_types = self._get_input_tensors(node)
        op = node.op.lower()  // type of the unary operator
        // assumes TensorFlow and Core ML has same op name
        func = getattr(self._get_builder(), "add_" + op)
        layer = func(name=node.name, input_name=input_names[0], output_name=node.name)

Instances