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