3d305831a0edd1288cc2f94f81debbdc359d7bb3,tensorlayer/layers/lambda_layers.py,Lambda,__init__,#Lambda#Any#Any#Any#Any#,61

Before Change

        logging.info("Lambda  %s" % self.name)

        if fn is None:
            raise AssertionError("The `fn` argument cannot be None")

        with tf.compat.v1.variable_scope(name) as vs:
            self.outputs = fn(self.inputs, **self.fn_args)
            variables = tf.compat.v1.get_collection(TF_GRAPHKEYS_VARIABLES, scope=vs.name)

        self._add_layers(self.outputs)
        self._add_params(variables)

After Change

        self._weights = fn_weights if fn_weights is not None else []
        self.fn_args = fn_args if fn_args is not None else {}

        try:
            fn_name = repr(self.fn)
        except:
            fn_name = "name not available"
        logging.info("Lambda  %s: func: %s, len_weights: %s" % (self.name, fn_name, len(self._weights)))

        self.build()
        self._built = True

Instances