Fix various issues/warnings that come up on Jenkins (#7147)

* Avoid warning about swap being unlimited Currently we get the following message on Jenkins: "Your kernel does not support swap limit capabilities or the cgroup is not mounted. Memory limited without swap." Since we're not limiting swap anyway, we might as well avoid trying to. https://docs.docker.com/config/containers/resource_constraints/#--memory-swap-details * Fix escaping in re.search() * Fix escaping in _noisy_layer() * Raise a more descriptive error when dashboard data isn't found * Don't error on dashboard files not being found when webui isn't required * Change dashboard error to a warning instead
2026-07-04 15:57:44 +08:00 · 2020-02-17 16:08:56 -08:00
parent 734629b4ea
commit 3bd82d0bcd
6 changed files with 70 additions and 65 deletions
@@ -26,22 +26,22 @@ bash $ROOT_DIR/run_tune_tests.sh ${MEMORY_SIZE} ${SHM_SIZE} $DOCKER_SHA

 ######################## EXAMPLE TESTS #################################

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/doc/examples/plot_pong_example.py

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/doc/examples/plot_parameter_server.py

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/doc/examples/plot_hyperparameter.py

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/doc/examples/doc_code/torch_example.py

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/doc/examples/doc_code/tf_example.py

 ######################## RAY BACKEND TESTS #################################

-$SUPPRESS_OUTPUT docker run --rm --shm-size=60G --memory=60G $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=60G --memory=60G --memory-swap=-1 $DOCKER_SHA \
    python /ray/ci/jenkins_tests/miscellaneous/large_memory_test.py
@@ -31,162 +31,162 @@ fi

 echo "Using Docker image" $DOCKER_SHA

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    pytest /ray/python/ray/tune/tests/test_cluster.py

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    pytest /ray/python/ray/tune/tests/test_actor_reuse.py

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    pytest /ray/python/ray/tune/tests/test_tune_restore.py

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/tune/tests/example.py

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    bash -c 'pip install -U tensorflow && python /ray/python/ray/tune/tests/test_logger.py'

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    bash -c 'pip install -U tensorflow==1.15 && python /ray/python/ray/tune/tests/test_logger.py'

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    bash -c 'pip install -U tensorflow==1.14 && python /ray/python/ray/tune/tests/test_logger.py'

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    bash -c 'pip install -U tensorflow==1.12 && python /ray/python/ray/tune/tests/test_logger.py'

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} -e MPLBACKEND=Agg $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 -e MPLBACKEND=Agg $DOCKER_SHA \
    python /ray/python/ray/tune/tests/tutorial.py

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/tune/examples/pbt_example.py \
    --smoke-test

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/tune/examples/hyperband_example.py \
    --smoke-test

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/tune/examples/async_hyperband_example.py \
    --smoke-test

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/tune/examples/tf_mnist_example.py --smoke-test

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/tune/examples/lightgbm_example.py

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/tune/examples/xgboost_example.py

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/tune/examples/logging_example.py \
    --smoke-test

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/tune/examples/mlflow_example.py

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/tune/examples/bayesopt_example.py \
    --smoke-test

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/tune/examples/hyperopt_example.py \
    --smoke-test

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} -e SIGOPT_KEY $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 -e SIGOPT_KEY $DOCKER_SHA \
    python /ray/python/ray/tune/examples/sigopt_example.py \
    --smoke-test

 # Runs only on Python3
-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/tune/examples/nevergrad_example.py \
    --smoke-test

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/tune/examples/tune_mnist_keras.py \
    --smoke-test

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/tune/examples/mnist_pytorch.py --smoke-test

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/tune/examples/mnist_pytorch_trainable.py \
    --smoke-test

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/tune/examples/genetic_example.py \
    --smoke-test

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/tune/examples/skopt_example.py \
    --smoke-test

 # Commenting out because flaky
-# $SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+# $SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
 #     python /ray/python/ray/tune/examples/pbt_memnn_example.py \
 #     --smoke-test

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/tune/examples/pbt_convnet_example.py \
    --smoke-test

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/tune/examples/pbt_dcgan_mnist/pbt_dcgan_mnist.py \
    --smoke-test

 # uncomment once statsmodels is updated.
-# $SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+# $SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
 #     python /ray/python/ray/tune/examples/bohb_example.py \
 #     --smoke-test


 ######################## SGD TESTS #################################

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python -m pytest /ray/python/ray/experimental/sgd/tests

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/doc/examples/doc_code/raysgd_torch_signatures.py

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/experimental/sgd/pytorch/examples/train_example.py

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/experimental/sgd/pytorch/examples/train_example.py --num-replicas=2

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/experimental/sgd/pytorch/examples/tune_example.py

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/experimental/sgd/pytorch/examples/tune_example.py --num-replicas=2

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/experimental/sgd/pytorch/examples/cifar_pytorch_example.py --smoke-test

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/experimental/sgd/pytorch/examples/cifar_pytorch_example.py --smoke-test --num-replicas=2

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/experimental/sgd/pytorch/examples/cifar_pytorch_example.py --smoke-test --tune

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/experimental/sgd/pytorch/examples/dcgan.py --smoke-test --num-replicas=2

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/experimental/sgd/tf/examples/tensorflow_train_example.py

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/experimental/sgd/tf/examples/tensorflow_train_example.py --num-replicas=2

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/experimental/sgd/tf/examples/tensorflow_train_example.py --tune

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/experimental/sgd/tf/examples/cifar_tf_example.py --smoke-test

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/experimental/sgd/tf/examples/cifar_tf_example.py --num-replicas 2 --smoke-test

-$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} $DOCKER_SHA \
+$SUPPRESS_OUTPUT docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 $DOCKER_SHA \
    python /ray/python/ray/experimental/sgd/tf/examples/cifar_tf_example.py --num-replicas 2 --smoke-test --augment-data
@@ -17,12 +17,12 @@ git archive -o ./docker/stress_test/ray.tar $(git rev-parse HEAD)
 DOCKER_SHA=$(docker build --no-cache -q -t ray-project/stress_test docker/stress_test)

 echo "Using Docker image" $DOCKER_SHA
-docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} \
+docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 \
    -e AWS_ACCESS_KEY_ID -e AWS_SECRET_ACCESS_KEY -e RAY_AWS_SSH_KEY \
    $DOCKER_SHA \
    bash /ray/ci/stress_tests/run_stress_tests.sh

-# docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} \
+# docker run --rm --shm-size=${SHM_SIZE} --memory=${MEMORY_SIZE} --memory-swap=-1 \
 #     -e AWS_ACCESS_KEY_ID -e AWS_SECRET_ACCESS_KEY -e RAY_AWS_SSH_KEY \
 #     $DOCKER_SHA \
 #     bash /ray/ci/stress_tests/run_application_stress_tests.sh
@@ -8,6 +8,7 @@ except ImportError:
 import argparse
 import copy
 import datetime
+import errno
 import json
 import logging
 import os
@@ -323,12 +324,13 @@ class Dashboard(object):
        build_dir = os.path.join(
            os.path.dirname(os.path.abspath(__file__)), "client/build")
        if not os.path.isdir(build_dir):
-            raise ValueError(
-                "Dashboard build directory not found at '{}'. If installing "
+            raise OSError(
+                errno.ENOENT,
+                "Dashboard build directory not found. If installing "
                "from source, please follow the additional steps required to "
-                "build the dashboard: "
-                "cd python/ray/dashboard/client && npm ci && npm run build"
-                .format(build_dir))
+                "build the dashboard "
+                "(cd python/ray/dashboard/client && npm ci && npm run build)",
+                build_dir)

        static_dir = os.path.join(build_dir, "static")
        self.app.router.add_static("/static", static_dir)
@@ -925,4 +927,7 @@ if __name__ == "__main__":
                   "error:\n{}".format(os.uname()[1], traceback_str))
        ray.utils.push_error_to_driver_through_redis(
            redis_client, ray_constants.DASHBOARD_DIED_ERROR, message)
-        raise e
+        if isinstance(e, OSError) and e.errno == errno.ENOENT:
+            logger.warning(message)
+        else:
+            raise e
@@ -220,10 +220,10 @@ class DistributionalQModel(TFModelV2):
                     non_linear=True):
        """
        a common dense layer: y = w^{T}x + b
-        a noisy layer: y = (w + \epsilon_w*\sigma_w)^{T}x +
-            (b+\epsilon_b*\sigma_b)
+        a noisy layer: y = (w + \\epsilon_w*\\sigma_w)^{T}x +
+            (b+\\epsilon_b*\\sigma_b)
        where \epsilon are random variables sampled from factorized normal
-        distributions and \sigma are trainable variables which are expected to
+        distributions and \\sigma are trainable variables which are expected to
        vanish along the training procedure
        """
        in_size = int(action_in.shape[1])
@@ -128,7 +128,7 @@ def from_config(cls, config=None, **kwargs):
            constructor = type_
        # A string: Filename or a python module+class or a json/yaml str.
        elif isinstance(type_, str):
-            if re.search("\.(yaml|yml|json)$", type_):
+            if re.search("\\.(yaml|yml|json)$", type_):
                return from_file(cls, type_, *ctor_args, **ctor_kwargs)
            # Try un-json/un-yaml'ing the string into a dict.
            obj = yaml.load(type_)
@@ -226,6 +226,6 @@ def lookup_type(cls, type_):
        available_class_for_type = cls.__type_registry__.get(type_)
        if available_class_for_type is None:
            available_class_for_type = \
-                cls.__type_registry__[re.sub("[\W_]", "", type_.lower())]
+                cls.__type_registry__[re.sub("[\\W_]", "", type_.lower())]
        return available_class_for_type
    return None