I am writing machine learning code using Keras to grade the severity of prostate cancer. After running it the following error appears:
---------------------------------------------------------------------------
UnboundLocalError Traceback (most recent call last)
<ipython-input-14-0e08590512ec> in <module>
8 for file in column:
9 data = generate_tiles(file)
---> 10 prediction = model.predict(data)
11 max_score = prediction.max()
12
/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/engine/training.py in _method_wrapper(self, *args, **kwargs)
86 raise ValueError('{} is not supported in multi-worker mode.'.format(
87 method.__name__))
---> 88 return method(self, *args, **kwargs)
89
90 return tf_decorator.make_decorator(
/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/engine/training.py in predict(self, x, batch_size, verbose, steps, callbacks, max_queue_size, workers, use_multiprocessing)
1283 callbacks.on_predict_batch_end(step, {'outputs': batch_outputs})
1284 callbacks.on_predict_end()
-> 1285 all_outputs = nest.map_structure_up_to(batch_outputs, concat, outputs)
1286 return tf_utils.to_numpy_or_python_type(all_outputs)
1287
UnboundLocalError: local variable 'batch_outputs' referenced before assignment
Does anyone know what batch outputs would be refering too? I don't have such a variable in my code.