def testBasic(self):
ray.init(num_cpus=4)
local = _MockEvaluator()
remotes = ray.remote(_MockEvaluator)
remote_evaluators = [remotes.remote() for i in range(5)]
test_optimizer = AsyncGradientsOptimizer(local, remote_evaluators,
{"grads_per_step": 10})
test_optimizer.step()
self.assertTrue(all(local.get_weights() == 0))
def testBasic(self):
ray.init(num_cpus=4)
local = _MockEvaluator()
remotes = ray.remote(_MockEvaluator)
remote_evaluators = [remotes.remote() for i in range(5)]
test_optimizer = AsyncOptimizer(
{"grads_per_step": 10}, local, remote_evaluators)
test_optimizer.step()
self.assertTrue(all(local.get_weights() == 0))
