From 9713c41bf419e1b3858880198cbf90a379e0d1c0 Mon Sep 17 00:00:00 2001
From: William Falcon <falc@fb.com>
Date: Wed, 7 Aug 2019 07:33:08 -0400
Subject: [PATCH] removed bad hook call

---
 tests/test_models.py | 57 +++++++++++++++++++++++---------------------
 1 file changed, 30 insertions(+), 27 deletions(-)

diff --git a/tests/test_models.py b/tests/test_models.py
index 509d529c64..1708134aa6 100644
--- a/tests/test_models.py
+++ b/tests/test_models.py
@@ -24,33 +24,6 @@ np.random.seed(SEED)
 # ------------------------------------------------------------------------
 # TESTS
 # ------------------------------------------------------------------------
-def test_amp_gpu_ddp():
-    """
-    Make sure DDP + AMP work
-    :return:
-    """
-    if not torch.cuda.is_available():
-        warnings.warn('test_amp_gpu_ddp cannot run. Rerun on a GPU node to run this test')
-        return
-    if not torch.cuda.device_count() > 1:
-        warnings.warn('test_amp_gpu_ddp cannot run. Rerun on a node with 2+ GPUs to run this test')
-        return
-
-    os.environ['MASTER_PORT'] = str(np.random.randint(12000, 19000, 1)[0])
-
-    hparams = get_hparams()
-    model = LightningTestModel(hparams)
-
-    trainer_options = dict(
-        progress_bar=True,
-        max_nb_epochs=1,
-        gpus=[0, 1],
-        distributed_backend='ddp',
-        use_amp=True
-    )
-
-    run_gpu_model_test(trainer_options, model, hparams)
-
 
 def test_cpu_restore_training():
     """
@@ -126,6 +99,36 @@ def test_cpu_restore_training():
     clear_save_dir()
 
 
+def test_amp_gpu_ddp():
+    """
+    Make sure DDP + AMP work
+    :return:
+    """
+    if not torch.cuda.is_available():
+        warnings.warn('test_amp_gpu_ddp cannot run. Rerun on a GPU node to run this test')
+        return
+    if not torch.cuda.device_count() > 1:
+        warnings.warn('test_amp_gpu_ddp cannot run. Rerun on a node with 2+ GPUs to run this test')
+        return
+
+    os.environ['MASTER_PORT'] = str(np.random.randint(12000, 19000, 1)[0])
+
+    hparams = get_hparams()
+    model = LightningTestModel(hparams)
+
+    trainer_options = dict(
+        progress_bar=True,
+        max_nb_epochs=1,
+        gpus=[0, 1],
+        distributed_backend='ddp',
+        use_amp=True
+    )
+
+    run_gpu_model_test(trainer_options, model, hparams)
+
+
+
+
 def test_cpu_slurm_save_load():
     """
     Verify model save/load/checkpoint on CPU