problem about learning rate

[SmChester]

Hi, When I run the training.py, I faced a problem like this Traceback (most recent call last): File "training.py", line 63, in learning_rate = tf.train.piecewise_constant(global_step, boundaries, values) File "/Users/chestersima/anaconda3/lib/python3.6/site-packages/tensorflow/python/training/learning_rate_decay.py", line 168, in piecewise_constant "The length of boundaries should be 1 less than the length of values")

The source code is below: boundaries = [] br = config.training.base_rate values = [br] for i in range(1, 10): values.append(br / (2 * i)) boundaries.append(15000 i) values.append(br / (2 ** (i + 1))) print(values) print(boundaries) learning_rate = tf.train.piecewise_constant(global_step, boundaries, values)

I read the source code and find that the length of values is 11, however, the length of boundaries is 9. So how to work out this problem? Values has a initial item in config.py, and after the iteration, values append one more item. What's the point at doing so?

[Markkunitomi]

I noticed the same problem. You can either get rid of the initializing value br or the last value added outside of the loop. This allows the script to run.

[mhjabreel]

Hi @SmChester and @Markkunitomi, Now, you can use the new implementation in the branch textify_bases. The problem is solved.

Thanks.