File ".\train.py", line 80, in train
    batch_size=args["batch_size"], epochs=args["epoch"], callbacks=callback_list, verbose=1)
  File "F:\Anaconda3\lib\site-packages\tensorflow\python\keras\engine\training.py", line 108, in _method_wrapper
    return method(self, *args, **kwargs)
  File "F:\Anaconda3\lib\site-packages\tensorflow\python\keras\engine\training.py", line 1098, in fit
    tmp_logs = train_function(iterator)
  File "F:\Anaconda3\lib\site-packages\tensorflow\python\eager\def_function.py", line 780, in __call__
    result = self._call(*args, **kwds)
  File "F:\Anaconda3\lib\site-packages\tensorflow\python\eager\def_function.py", line 823, in _call
    self._initialize(args, kwds, add_initializers_to=initializers)
  File "F:\Anaconda3\lib\site-packages\tensorflow\python\eager\def_function.py", line 697, in _initialize
    *args, **kwds))
  File "F:\Anaconda3\lib\site-packages\tensorflow\python\eager\function.py", line 2855, in _get_concrete_function_internal_garbage_collected
    graph_function, _, _ = self._maybe_define_function(args, kwargs)
  File "F:\Anaconda3\lib\site-packages\tensorflow\python\eager\function.py", line 3213, in _maybe_define_function
    graph_function = self._create_graph_function(args, kwargs)
  File "F:\Anaconda3\lib\site-packages\tensorflow\python\eager\function.py", line 3075, in _create_graph_function
    capture_by_value=self._capture_by_value),
  File "F:\Anaconda3\lib\site-packages\tensorflow\python\framework\func_graph.py", line 986, in func_graph_from_py_func
    func_outputs = python_func(*func_args, **func_kwargs)
  File "F:\Anaconda3\lib\site-packages\tensorflow\python\eager\def_function.py", line 600, in wrapped_fn
    return weak_wrapped_fn().__wrapped__(*args, **kwds)
  File "F:\Anaconda3\lib\site-packages\tensorflow\python\framework\func_graph.py", line 973, in wrapper
    raise e.ag_error_metadata.to_exception(e)
TypeError: in user code:

    F:\Anaconda3\lib\site-packages\tensorflow\python\keras\engine\training.py:806 train_function  *
        return step_function(self, iterator)
    E:\Github\RCF-keras-master\loss_functions.py:64 cross_entropy_balanced  *
        cost = tf.nn.weighted_cross_entropy_with_logits(targets=y_true, logits=y_pred, pos_weight=pos_weight)
    F:\Anaconda3\lib\site-packages\tensorflow\python\util\dispatch.py:201 wrapper  **
        return target(*args, **kwargs)

    TypeError: weighted_cross_entropy_with_logits_v2() got an unexpected keyword argument 'targets'

tf.nn.weighted_cross_entropy_with_logits(targets=y_true, logits=y_pred, pos_weight=pos_weight)

改为：

tf.nn.weighted_cross_entropy_with_logits(labels=y_true, logits=y_pred, pos_weight=pos_weight)