[tune] Add more intensive tests (#7667)

* make_heavier_tests

* help

docker/examples/Dockerfile

@@ -9,10 +9,9 @@ RUN apt-get install -y zlib1g-dev libgl1-mesa-dev
 RUN pip install -U pip
 RUN pip install gym[atari] opencv-python-headless tensorflow lz4 pytest-timeout smart_open tensorflow_probability dm_tree
 RUN pip install -U h5py  # Mutes FutureWarnings
-RUN pip install --upgrade bayesian-optimization
-RUN pip install --upgrade hyperopt==0.1.2
+RUN pip install --upgrade bayesian-optimization hyperopt
 RUN pip install ConfigSpace==0.4.10
 RUN pip install --upgrade sigopt nevergrad scikit-optimize hpbandster lightgbm xgboost torch torchvision tensorboardX dragonfly-opt zoopt
 RUN pip install -U tabulate mlflow
 RUN pip install -U pytest-remotedata>=0.3.1
-RUN pip install -U matplotlib jupyter pandas 
+RUN pip install -U matplotlib jupyter pandas

docker/tune_test/Dockerfile

@@ -13,7 +13,7 @@ RUN pip install torch==1.4.0+cpu torchvision==0.5.0+cpu -f https://download.pyto
 RUN pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow_cpu-2.1.0-cp36-cp36m-manylinux2010_x86_64.whl
 
 COPY requirements.txt .
-RUN pip install -r requirements.txt 
+RUN pip install -r requirements.txt
 
 # We port the source code in so that we run the most up-to-date stress tests.
 ADD ray.tar /ray