diff --git a/tests/models/test_model_hooks.py b/tests/models/test_model_hooks.py
deleted file mode 100644
index 2e004584119f4..0000000000000
--- a/tests/models/test_model_hooks.py
+++ /dev/null
@@ -1,49 +0,0 @@
-# Copyright The PyTorch Lightning team.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-from unittest import mock
-
-from pytorch_lightning import Trainer
-from tests.helpers.boring_model import BoringModel
-
-
-@mock.patch('pytorch_lightning.core.hooks.ModelHooks.on_validation_model_eval')
-@mock.patch('pytorch_lightning.core.hooks.ModelHooks.on_validation_model_train')
-@mock.patch('pytorch_lightning.core.hooks.ModelHooks.on_test_model_eval')
-@mock.patch('pytorch_lightning.core.hooks.ModelHooks.on_test_model_train')
-def test_eval_train_calls(test_train_mock, test_eval_mock, val_train_mock, val_eval_mock, tmpdir):
-    """
-    Tests that only training_step can be used
-    """
-    model = BoringModel()
-    model.validation_epoch_end = None
-
-    trainer = Trainer(
-        default_root_dir=tmpdir,
-        limit_train_batches=2,
-        limit_val_batches=2,
-        max_epochs=2,
-        log_every_n_steps=1,
-        weights_summary=None,
-    )
-
-    trainer.fit(model)
-    trainer.test()
-
-    # sanity + 2 epochs
-    assert val_eval_mock.call_count == 3
-    assert val_train_mock.call_count == 3
-
-    # test is called only once
-    assert test_eval_mock.call_count == 1
-    assert test_train_mock.call_count == 1