def __setstate__(self, d): Serializable.__setstate__(self, d) global load_params if load_params: tf.get_default_session().run( tf.variables_initializer(self.get_params(all_params=True))) self.set_param_values(d["params"], all_params=True)
def __setstate__(self, state): """Set Serializable state fo the RLAlgorithm instance.""" Serializable.__setstate__(self, state) self.qf.set_param_values(state['qf-params']) self.policy.set_param_values(state['policy-params']) self.pool.__setstate__(state['pool']) self.env.__setstate__(state['env'])
def __setstate__(self, d): Serializable.__setstate__(self, d) global load_params if load_params: tf.get_default_session().run( tf.variables_initializer(self.get_params(all_params=True))) print("debug, setstate using", d, np.shape(d['params'])) self.set_param_values(d["params"][:], all_params=True)
def __setstate__(self, d): Serializable.__setstate__(self, d) global load_params if load_params: try: self.set_param_values(d["params"]) except: pass
def __setstate__(self, d): """Set Serializable state fo the RLAlgorithm instance.""" Serializable.__setstate__(self, d) self._qf.set_param_values(d['qf-params']) self._policy.set_param_values(d['policy-params']) self._pool.__setstate__(d['pool']) self._env.__setstate__(d['env'])
def __setstate__(self, d): if config.TF_NN_SETTRACE: ipdb.set_trace() Serializable.__setstate__(self, d) global load_params if load_params: tf.get_default_session().run( tf.initialize_variables(self.get_params())) self.set_param_values(d["params"])
def __setstate__(self, state): """Set Serializable state fo the RLAlgorithm instance.""" Serializable.__setstate__(self, state) self.qf.set_param_values(state['qf-params']) self.df.set_param_values(state['df-params']) self.policy.set_param_values(state['policy-params']) self.pool.__setstate__(state['pool']) self.env.__setstate__(state['env'])
def __setstate__(self, d): Serializable.__setstate__(self, d) global load_params if load_params: tf.get_default_session().run( tf.variables_initializer(self.get_params(all_params=True))) #print("debug, setstate using", d, np.shape(d['params'])) ###############TODO : change this when temperature is removed##################### self.set_param_values(d["params"][:], all_params=True)
def __setstate__(self, d): Serializable.__setstate__(self, d) global load_params if load_params: tf.get_default_session().run( tf.variables_initializer(self.get_params(all_params=True))) # self.set_param_values(d["params"], all_params=True) # import pdb; pdb.set_trace() # self.set_param_values(d["params"][:13514], all_params=True) self.set_param_values(d["params"][:13114], all_params=True)
def __setstate__(self, d): """Set Serializable state fo the RLAlgorithm instance.""" Serializable.__setstate__(self, d) for i, actor in enumerate(self._arr_actor): for j, qf in enumerate(actor.arr_qf): qf.set_param_values(d['actor-qf-params'][i][j]) for j, target_qf in enumerate(actor.arr_target_qf): target_qf.set_param_values(d['actor-target-qf-params'][i][j]) actor.policy.set_param_values(d['actor-policy-params'][i]) actor.targetpolicy.set_param_values(d['actor-target-policy-params'][i]) actor.pool.__setstate__(d['actor-pool'][i]) self._env.envs[i].__setstate__(d['env'][i])
def __setstate__(self, d): Serializable.__setstate__(self, d) self.state = d["state"]
def __setstate__(self, d): Serializable.__setstate__(self, d) self._reward_freq = d["_reward_freq"]
def __setstate__(self, d): Serializable.__setstate__(self, d) global load_params if load_params: self._sess.run(xplatform.variables_initializer(self.get_params())) self.set_param_values(d["params"])
def __setstate__(self, d): Serializable.__setstate__(self, d) global load_params if load_params: tf.get_default_session().run(tf.initialize_variables(self.get_params())) self.set_param_values(d["params"])
def __setstate__(self, d): Serializable.__setstate__(self, d) self._qf_eval.set_param_values(d["qf_params"]) self._training_policy.set_param_values(d["policy_params"])
def __setstate__(self, d): Serializable.__setstate__(self, d) global load_params if load_params: self.set_param_values(d["params"])
def __setstate__(self, d): Serializable.__setstate__(self, d) self.state = d["state"]
def __setstate__(self, d): Serializable.__setstate__(self, d) self._obs_mean = d["_obs_mean"] self._obs_var = d["_obs_var"]
def __setstate__(self, d): Serializable.__setstate__(self, d) tf.get_default_session().run(tf.initialize_variables( self.get_params())) self.set_param_values(d["params"])
def __setstate__(self, d): Serializable.__setstate__(self, d) self._obs_mean = d["_obs_mean"] self._obs_var = d["_obs_var"]
def __setstate__(self, d): Serializable.__setstate__(self, d)