How severe does this issue affect your experience of using Ray?
- None: Just asking a question out of curiosity
- Low: It annoys or frustrates me for a moment.
- Medium: It contributes to significant difficulty to complete my task, but I can work around it.
- High: It blocks me to complete my task.
2023-04-05 03:03:03,344 INFO worker.py:1544 – Started a local Ray instance. View the dashboard at 127.0.0.1:8265
2023-04-05 03:03:05,133 INFO algorithm_config.py:2899 – Your framework setting is ‘tf’, meaning you are using static-graph mode. Set framework=‘tf2’ to enable eager execution with tf2.x. You may also then want to set eager_tracing=True in order to reach similar execution speed as with static-graph mode.
2023-04-05 03:03:05,134 INFO algorithm_config.py:2899 – Your framework setting is ‘tf’, meaning you are using static-graph mode. Set framework=‘tf2’ to enable eager execution with tf2.x. You may also then want to set eager_tracing=True in order to reach similar execution speed as with static-graph mode.
(autoscaler +10s) Tip: use ray status to view detailed cluster status. To disable these messages, set RAY_SCHEDULER_EVENTS=0.
(autoscaler +10s) Error: No available node types can fulfill resource request {‘GPU’: 1.0, ‘CPU’: 1.0}. Add suitable node types to this cluster to resolve this issue.
== Status ==
Current time: 2023-04-05 03:03:10 (running for 00:00:05.11)
Memory usage on this node: 4.7/7.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 0/4 CPUs, 0/0 GPUs, 0.0/1.98 GiB heap, 0.0/0.99 GiB objects
Result logdir: /home/Labexam/ray_results/train_45nm_ngspice
Number of trials: 1/1 (1 PENDING)
±----------------------------±---------±------+
| Trial name | status | loc |
|-----------------------------±---------±------|
| PPO_TwoStageAmp_e98f0_00000 | PENDING | |
±----------------------------±---------±------+
