initialised training module

src/modules/training.py

+__author__ = "Lukas Leufen"
+__date__ = '2019-12-05'
+
+
+from src.modules.run_environment import RunEnvironment
+
+
+class Training(RunEnvironment):
+
+    def __init__(self):
+        super().__init__()
+        self.model = self.data_store.get("model", "general.model")
+
+    def make_predict_function(self):
+        # create the predict function before distributing. This is necessary, because tf will compile the predict
+        # function just in the moment it is used the first time. This can cause problems, if the model is distributed
+        # on different workers. To prevent this, the function is pre-compiled. See discussion @
+        # https://stackoverflow.com/questions/40850089/is-keras-thread-safe/43393252#43393252
+        self.model._make_predict_function()
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