[RLlib] Fix broken tune tests in master due to framework=auto errors. (#8672)

python/ray/tests/test_memory_scheduling.py

@@ -77,6 +77,7 @@ class TestMemoryScheduling(unittest.TestCase):
                 config={
                     "env": "CartPole-v0",
                     "memory": 100 * 1024 * 1024,  # too little
+                    "framework": "tf",
                 },
                 raise_on_failed_trial=False)
             self.assertEqual(result.trials[0].status, "ERROR")
@@ -99,6 +100,7 @@ class TestMemoryScheduling(unittest.TestCase):
                         "env": "CartPole-v0",
                         # too large
                         "object_store_memory": 10000 * 1024 * 1024,
+                        "framework": "tf",
                     }))
         finally:
             ray.shutdown()
@@ -113,6 +115,7 @@ class TestMemoryScheduling(unittest.TestCase):
                     "env": "CartPole-v0",
                     "num_workers": 1,
                     "memory_per_worker": 100 * 1024 * 1024,  # too little
+                    "framework": "tf",
                 },
                 raise_on_failed_trial=False)
             self.assertEqual(result.trials[0].status, "ERROR")
@@ -134,6 +137,7 @@ class TestMemoryScheduling(unittest.TestCase):
                     "num_workers": 1,
                     # too large
                     "object_store_memory_per_worker": 10000 * 1024 * 1024,
+                    "framework": "tf",
                 }))
         finally:
             ray.shutdown()

python/ray/tune/tests/test_cluster.py

@@ -554,7 +554,7 @@ ray.init(address="{address}")
 tune.run(
     "PG",
     name="experiment",
-    config=dict(env="CartPole-v1"),
+    config=dict(env="CartPole-v1", framework="tf"),
     stop=dict(training_iteration=10),
     local_dir="{checkpoint_dir}",
     checkpoint_freq=1,
@@ -593,7 +593,7 @@ tune.run(
             "experiment": {
                 "run": "PG",
                 "checkpoint_freq": 1,
-                "local_dir": dirpath
+                "local_dir": dirpath,
             }
         },
         resume=True)

python/ray/tune/tests/test_tune_restore.py

@@ -36,6 +36,7 @@ class TuneRestoreTest(unittest.TestCase):
             local_dir=tmpdir,
             config={
                 "env": "CartPole-v0",
+                "framework": "tf",
             },
         )
 
@@ -58,6 +59,7 @@ class TuneRestoreTest(unittest.TestCase):
             restore=self.checkpoint_path,  # Restore the checkpoint
             config={
                 "env": "CartPole-v0",
+                "framework": "tf",
             },
         )
 
@@ -73,6 +75,7 @@ class TuneRestoreTest(unittest.TestCase):
             restore=self.checkpoint_path,
             config={
                 "env": "CartPole-v0",
+                "framework": "tf",
             },
         )
         self.assertTrue(os.path.isfile(self.checkpoint_path))

rllib/BUILD

@@ -717,7 +717,8 @@ py_test(
 
 py_test(
     name = "test_impala_cartpole_v0_buffers_2_lstm",
-    main = "train.py", srcs = ["train.py"],
+    main = "train.py",
+    srcs = ["train.py"],
     tags = ["quick_train"],
     args = [
         "--env", "CartPole-v0",
@@ -730,12 +731,14 @@ py_test(
 
 py_test(
     name = "test_impala_pong_deterministic_v4_40k_ts_1G_obj_store",
-    main = "train.py", srcs = ["train.py"],
+    main = "train.py",
+    srcs = ["train.py"],
     tags = ["quick_train"],
+    size = "medium",
     args = [
         "--env", "PongDeterministic-v4",
         "--run", "IMPALA",
-        "--stop", "'{\"timesteps_total\": 40000}'",
+        "--stop", "'{\"timesteps_total\": 30000}'",
         "--ray-object-store-memory=1000000000",
         "--config", "'{\"framework\": \"tf\", \"num_workers\": 1, \"num_gpus\": 0, \"num_envs_per_worker\": 32, \"rollout_fragment_length\": 50, \"train_batch_size\": 50, \"learner_queue_size\": 1}'"
         ]

rllib/agents/mock.py

@@ -18,6 +18,7 @@ class _MockTrainer(Trainer):
         "user_checkpoint_freq": 0,
         "object_store_memory_per_worker": 0,
         "object_store_memory": 0,
+        "framework": "tf",
     })
 
     @classmethod

rllib/tests/test_supported_spaces.py

@@ -123,7 +123,7 @@ class ModelSupportedSpaces(unittest.TestCase):
         check_support(
             "ARS", {
                 "num_workers": 1,
-                "noise_size": 100000,
+                "noise_size": 1500000,
                 "num_rollouts": 1,
                 "rollouts_used": 1
             })
@@ -147,7 +147,7 @@ class ModelSupportedSpaces(unittest.TestCase):
         check_support(
             "ES", {
                 "num_workers": 1,
-                "noise_size": 100000,
+                "noise_size": 1500000,
                 "episodes_per_batch": 1,
                 "train_batch_size": 1
             })