def train_dynamic(self):
print("inside train")
model_spec = self.get_model_by_name(MyBatch.dynamic_model)
#print(" action for a dynamic model", model_spec)
session = self.pipeline.get_variable("session")
with self.pipeline.get_variable("print lock"):
print("\n\n ================= train dynamic ====================")
print("----- default graph")
#print(tf.get_default_graph().get_operations())
print("----- session graph")
print(session.graph.get_operations())
input_data, model_output = model_spec
res = session.run(model_output, feed_dict={input_data: self.data})
self.pipeline.get_variable("loss history").append(res)
#print(" ", int(res))
return self
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