diff --git a/docker/examples/Dockerfile b/docker/examples/Dockerfile
index 5f17d31c5..c9a964d8a 100644
--- a/docker/examples/Dockerfile
+++ b/docker/examples/Dockerfile
@@ -4,4 +4,4 @@ FROM ray-project/deploy
 RUN conda install -y -c conda-forge tensorflow
 RUN apt-get install -y zlib1g-dev
 RUN pip install gym[atari] opencv-python==3.2.0.8 smart_open
-RUN conda install -y -q pytorch torchvision -c soumith
+# RUN conda install -y -q pytorch torchvision -c soumith
diff --git a/python/ray/rllib/utils/timer.py b/python/ray/rllib/utils/timer.py
index 3b692f3ab..98770b671 100644
--- a/python/ray/rllib/utils/timer.py
+++ b/python/ray/rllib/utils/timer.py
@@ -24,9 +24,9 @@ class TimerStat(RunningStat):
 
     def __enter__(self):
         assert self._start_time is None, "concurrent updates not supported"
-        self._start_time = time.monotonic()
+        self._start_time = time.time()
 
     def __exit__(self, type, value, tb):
         assert self._start_time is not None
-        self.push(time.monotonic() - self._start_time)
+        self.push(time.time() - self._start_time)
         self._start_time = None
diff --git a/test/jenkins_tests/run_multi_node_tests.sh b/test/jenkins_tests/run_multi_node_tests.sh
index 1789dbf5e..ff5269f79 100755
--- a/test/jenkins_tests/run_multi_node_tests.sh
+++ b/test/jenkins_tests/run_multi_node_tests.sh
@@ -139,12 +139,12 @@ docker run --rm --shm-size=10G --memory=10G $DOCKER_SHA \
     --stop '{"training_iteration": 2}' \
     --config '{"kl_coeff": 1.0, "num_sgd_iter": 10, "sgd_stepsize": 1e-4, "sgd_batchsize": 64, "timesteps_per_batch": 2000, "num_workers": 1, "model": {"dim": 40, "conv_filters": [[16, [8, 8], 4], [32, [4, 4], 2], [512, [5, 5], 1]]}, "extra_frameskip": 4}'
 
-docker run --rm --shm-size=10G --memory=10G $DOCKER_SHA \
-    python /ray/python/ray/rllib/train.py \
-    --env PongDeterministic-v4 \
-    --run A3C \
-    --stop '{"training_iteration": 2}' \
-    --config '{"num_workers": 2, "use_lstm": false, "use_pytorch": true, "model": {"grayscale": true, "zero_mean": false, "dim": 80, "channel_major": true}}'
+# docker run --rm --shm-size=10G --memory=10G $DOCKER_SHA \
+#     python /ray/python/ray/rllib/train.py \
+#     --env PongDeterministic-v4 \
+#     --run A3C \
+#     --stop '{"training_iteration": 2}' \
+#     --config '{"num_workers": 2, "use_lstm": false, "use_pytorch": true, "model": {"grayscale": true, "zero_mean": false, "dim": 80, "channel_major": true}}'
 
 docker run --rm --shm-size=10G --memory=10G $DOCKER_SHA \
     python /ray/python/ray/rllib/test/test_checkpoint_restore.py