[tune] temporary revert of verbosity changes

[richardliaw]

Why are these changes needed?

These verbosity changes lead to unintuitive logs from RLlib.

In the next reversion PR, we should be careful to test the changes against RLlib's various formats:

• rllib train -f tuned_examples/pg/cartpole-pg.yaml
• tune.run(DQNTrainer)

(pid=45727) WARNING:tensorflow:From /Users/rliaw/miniconda3/lib/python3.7/site-packages/tensorflow/python/compat/v2_compat.py:96: disable_resource_variables (from tensorflow.python.ops.variable_scope) is deprecated and will be removed in a future version.
(pid=45727) Instructions for updating:
(pid=45727) non-resource variables are not supported in the long term
(pid=45727) 2020-11-18 12:45:51,950	INFO trainer.py:580 -- Tip: set framework=tfe or the --eager flag to enable TensorFlow eager execution
(pid=45727) 2020-11-18 12:45:51,950	INFO trainer.py:607 -- Current log_level is WARN. For more information, set 'log_level': 'INFO' / 'DEBUG' or use the -v and -vv flags.
(pid=45727) WARNING:tensorflow:From /Users/rliaw/miniconda3/lib/python3.7/site-packages/tensorflow/python/ops/resource_variable_ops.py:1666: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.
(pid=45727) Instructions for updating:
(pid=45727) If using Keras pass *_constraint arguments to layers.
(pid=raylet) 2020-11-18 12:45:52,308	WARNING util.py:43 -- Install gputil for GPU system monitoring.
== Status ==
Memory usage on this node: 27.2/64.0 GiB
Using FIFO scheduling algorithm.
Resources requested: 1/16 CPUs, 0/0 GPUs, 0.0/24.17 GiB heap, 0.0/8.3 GiB objects
Result logdir: /Users/rliaw/ray_results/cartpole-pg
Number of trials: 1/1 (1 RUNNING)


== Status ==
Memory usage on this node: 27.3/64.0 GiB
Using FIFO scheduling algorithm.
Resources requested: 1/16 CPUs, 0/0 GPUs, 0.0/24.17 GiB heap, 0.0/8.3 GiB objects
Result logdir: /Users/rliaw/ray_results/cartpole-pg
Number of trials: 1/1 (1 RUNNING)


== Status ==
Memory usage on this node: 27.3/64.0 GiB
Using FIFO scheduling algorithm.
Resources requested: 1/16 CPUs, 0/0 GPUs, 0.0/24.17 GiB heap, 0.0/8.3 GiB objects
Result logdir: /Users/rliaw/ray_results/cartpole-pg
Number of trials: 1/1 (1 RUNNING)


== Status ==
Memory usage on this node: 27.4/64.0 GiB
Using FIFO scheduling algorithm.
Resources requested: 0/16 CPUs, 0/0 GPUs, 0.0/24.17 GiB heap, 0.0/8.3 GiB objects
Result logdir: /Users/rliaw/ray_results/cartpole-pg
Number of trials: 1/1 (1 TERMINATED)


2020-11-18 12:46:05,651	INFO tune.py:448 -- Total run time: 16.76 seconds (16.38 seconds for the tuning loop).

Related issue number

Checks

• I've run scripts/format.sh to lint the changes in this PR.
• I've included any doc changes needed for https://docs.ray.io/en/master/.
• I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/
• Testing Strategy
  • Unit tests
  • Release tests
  • This PR is not tested :(