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If you're asking about an unexpected problem which you do not know the root cause,
use this template. PLEASE DO NOT DELETE THIS TEMPLATE, FILL IT:
If you already know the root cause to your problem,
feel free to delete everything in this template.
1. What you did:
(1) If you're using examples, what's the command you run:
(2) If you're using examples, have you made any changes to the examples? Paste git status; git diff here:
(3) If not using examples, help us reproduce your issue:
It's always better to copy-paste what you did than to describe them.
Please try to provide enough information to let others reproduce your issues.
Without reproducing the issue, we may not be able to investigate it.
2. What you observed:
(1) Include the ENTIRE logs here:
<paste logs here>
It's always better to copy-paste what you observed instead of describing them.
It's always better to paste as much as possible, although sometimes a partial log is OK.
Tensorpack typically saves stdout to its training log.
If stderr is relevant, you can run a command with my_command 2>&1 | tee logs.txt
to save both stdout and stderr to one file.
(2) Other observations, if any:
For example, CPU/GPU utilization, output images, tensorboard curves, if relevant to your issue.
If you expect the model to converge / work better, note that we do not help you on how to improve a model.
Only in one of the two conditions can we help with it:
(1) You're unable to reproduce the results documented in tensorpack examples.
(2) It indicates a tensorpack bug.
4. Your environment:
Paste the output of this command: python -m tensorpack.tfutils.collect_env
If this command failed, also tell us your version of Python/TF/tensorpack.
Note that:
You can install tensorpack master by pip install -U git+https://github.com/tensorpack/tensorpack.git
and see if your issue is already solved.
If you're not using tensorpack under a normal command line shell (e.g.,
using an IDE or jupyter notebook), please retry under a normal command line shell.
You may often want to provide extra information related to your issue, but
at the minimum please try to provide the above information accurately to save effort in the investigation.
The text was updated successfully, but these errors were encountered:
If you're asking about an unexpected problem which you do not know the root cause,
use this template. PLEASE DO NOT DELETE THIS TEMPLATE, FILL IT:
If you already know the root cause to your problem,
feel free to delete everything in this template.
1. What you did:
(1) If you're using examples, what's the command you run:
(2) If you're using examples, have you made any changes to the examples? Paste
git status; git diff
here:(3) If not using examples, help us reproduce your issue:
It's always better to copy-paste what you did than to describe them.
Please try to provide enough information to let others reproduce your issues.
Without reproducing the issue, we may not be able to investigate it.
2. What you observed:
(1) Include the ENTIRE logs here:
It's always better to copy-paste what you observed instead of describing them.
It's always better to paste as much as possible, although sometimes a partial log is OK.
Tensorpack typically saves stdout to its training log.
If stderr is relevant, you can run a command with
my_command 2>&1 | tee logs.txt
to save both stdout and stderr to one file.
(2) Other observations, if any:
For example, CPU/GPU utilization, output images, tensorboard curves, if relevant to your issue.
3. What you expected, if not obvious.
If you expect higher speed, please read
http://tensorpack.readthedocs.io/tutorial/performance-tuning.html
before posting.
If you expect the model to converge / work better, note that we do not help you on how to improve a model.
Only in one of the two conditions can we help with it:
(1) You're unable to reproduce the results documented in tensorpack examples.
(2) It indicates a tensorpack bug.
4. Your environment:
Paste the output of this command:
python -m tensorpack.tfutils.collect_env
If this command failed, also tell us your version of Python/TF/tensorpack.
Note that:
pip install -U git+https://github.com/tensorpack/tensorpack.git
and see if your issue is already solved.
using an IDE or jupyter notebook), please retry under a normal command line shell.
You may often want to provide extra information related to your issue, but
at the minimum please try to provide the above information accurately to save effort in the investigation.
The text was updated successfully, but these errors were encountered: