Docs says:
Run "dart help <command>" for more information about a command.
But, if I run
dart help run
It doesn't show --enable-experiment option, so how can I find all the options for a command?
Use the following to see a more complete list of what you can do. I cannot guarantee the list are complete:
dart help -v run
Related
Im working on Ubuntu 20. I've installed docker, nvidia-docker2. On Pycharm, I've followed jetbrain guide, but in the advanced steps it isn't consistent with what I see in my setup. I use PyCharm Proffesional 2022.2.
In this step:
in the run options I put additionally --runtime=nvidia and --gpus=all.
Step 4 finishes as same as in the guide (almost, but it seems that it doesn't bother anything so on that later) and on step 5 I put manually the path to the interpreter in the virtual environment I've created using the Dockerfile.
In that way I am able to run the command of nvidia-smi and see correctly the GPU, but I don't see any packages I've installed during the Dockerfile build.
There is another option to connect the interpreter a little bit differently in which I do see the packages, but I can't run the nvidia-smi command and the torch.cuda.is_availble return False.
The way is instead of doing this as in the guide:
I press on the little down arrow in left of the Add Interpreter button and then click on Show all:
After which I can press the + button :
works, so it might be PyCharm "Python Console" issue.
and then I can choose Docker:
which will result in the difference mentioned above in functionality and also in the path dispalyed (the first one is the first remote interpreter top to bottom direction and the second is the second correspondingly):
Here of course the effect of the first and the second correspondingly:
Here is the results of the interpreter run with the first method connected interpreter:
and here is the second:
Of the following code:
Here is the Dockerfile file if you want to take a look:
Anyone configured it correctly and can help ?
Thank you in advance.
P.S: if I run the docker from services and enter the terminal the command nvidia-smi works fine and also the import of torch and the command torch.cuda.is_available return True.
P.S.2:
The thing that has worked for me for now is to change the Dockerfile to install directly torch with pip without create conda environement.
Then I set the path to the python2.7 and I can run the code, but not debug it.
for run the result is as expected (the packages list as was shown before is still empty, but it works, I guess somehow my IDE cannot access the packages list of the remote interpreter in that case, I dont know why):
But the debugger outputs the following error:
Any suggestions for the debugger issue also will be welcome, although it is a different issue.
Please update to 2022.2.1 as it looks like a known regression that has been fixed.
Let me know if it still does not work well.
After using "Source installation on macOS" to install drake, "Bazel built//..." and " Bazel test//..." are done. The question is: how I run an example , for examples/acrobot/run_swing_up ? Should I input a command like: Bazel-bin/examples/acrobot/run_swing_up ?
Yup, you can either run it via bazel run or ./bazel-bin (the latter being better for running multiple processes, having stdin access, etc.):
https://drake.mit.edu/bazel.html
Some of the examples also have brief READMEs or docs on how to run it; e.g.:
jaco arm
inclined plane
I'm using default sphinx-quickstart and Ubuntu 18.01
I'm having this issue with Jenkins when I try to do make html
/bin/sh: 1: sphinx-build: not found
Makefile:19: recipe for target 'html' failed
It works fine when I do the make html while in a terminal...
What could be the issue?
More information: I'm using the same user (tested with whoami) and I have installed sphinx using pip
I found a workaround based on one answer here
I changed the SPHINXBUILD to SPHINXBUILD = python -m sphinx. I'm not sure this is the best way to do it, but at least it works.
I'm pretty sure my original bug has something to do with make and sh executing on its own context and not finding sphinx-build. If someone has a better answer, please post :)
bazel run typically occupies the Bazel server, blocking other commands.
https://github.com/bazelbuild/bazel/blob/c484f19a2cf7427887d6e4c71c8534806e1ba83e/scripts/bazel-run.sh is a fantastic replacement
Question: what's a good way for end-users to get hold of that shell script and add to their path? Can we make that part of the bazel install?
I tried ls -R $(bazel info install_base) | grep bazel-run but no luck there.
Bazel run is a good replacement for end-user to run a Bazel command if you need to run interactively or multiple command (#2337). There has been no need for us to consider it as an installation script.
Please file an issue on Github to discuss the possibility of installing it along with Bazel.
I've been trying to have a docker file setup where it can install a specific ODBC driver I need in an application.
I use the following commands:
RUN cd /tmp/./client1201/
RUN ./setup
and it runs the installer without any problem. The issue is that It requires user input in order to proceed with some steps.
Is there any way I can make this silent? If so, is this some docker specific feature? Or it actually requires some sort of support from the installer itself in order to achieve this?
Thanks for any assistance
RUN echo "yes" | ./script.sh
This may work for you.