def _ray_function():
init_ray()
env = ray_function()
params = {
"actions": {
"dtype": numpy.int64
},
"critic": {
"dtype": numpy.float32
}
}
states = StatesModel(state_dict=params, batch_size=N_WALKERS)
return env, states
def swarm_with_score(self, request):
init_ray()
swarm = swarm_dict.get(request.param, create_cartpole_swarm)()
score = test_scores[request.param]
request.addfinalizer(lambda: kill_swarm(swarm))
return swarm, score
def export_swarm(request):
init_ray()
swarm = swarm_dict.get(request.param)()
request.addfinalizer(lambda: kill_swarm(swarm))
return swarm
def export_swarm(request):
init_ray()
swarm = swarm_dict.get(request.param)()
yield swarm
kill_swarm(swarm)
