向 Ray Tune 状态添加更多指标 Table(Python,PyTorch)

Add More Metrics to Ray Tune Status Table (Python, PyTorch)

当 运行 tune.run() 对一组配置进行搜索时,是否可以添加更多指标列(即 ab 等)状态 table 正在打印出来?

tune.track.log(a=metric1, b=metric2)

将给出以下 table 不包含指标 ab 的列:

== Status ==
Memory usage on this node: 22.1/125.8 GiB
Using FIFO scheduling algorithm.
Resources requested: 1/32 CPUs, 1/4 GPUs, 0.0/65.59 GiB heap, 0.0/22.13 GiB objects
Result logdir: /home/nyxynyx/ray_results/fooba
Number of trials: 4 (3 PENDING, 1 RUNNING)
+--------------+----------+-------+------+-----+
| Trial name   | status   | loc   |   lr |   x |
|--------------+----------+-------+------+-----|
| fooba_00000  | RUNNING  |       | 0.01 |   1 |
| fooba_00001  | PENDING  |       | 0.1  |   1 |
| fooba_00002  | PENDING  |       | 0.01 |   5 |
| fooba_00003  | PENDING  |       | 0.1  |   5 |
+--------------+----------+-------+------+-----+

除了 mean_accuracy 之外,我们如何为传递给 tune.track.log() 的每个指标添加一列?

使用 Python 3.7.3 和 Ray 0.8.4

是的!您应该能够使用报告对象执行此操作:https://ray.readthedocs.io/en/latest/tune/api_docs/reporters.html