def reopen_current_session(self):
self.current_session = TFT.copy_session(
self.current_session
) # Open a new session with same tensorboard stuff
self.current_session.run(tf.global_variables_initializer())
self.restore_session_params(
) # Reload old weights and biases to continued from where we last left off
def reopenCurrentSession(self): self.currentSession = tft.copy_session(self.currentSession) # Open a new session with the same tensors self.currentSession.run(tf.global_variables_initializer()) self.restore_session_params() # Reload weights and biases