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Dear all, the following action were executed 1) Compose the nvidia-docker-compose.yml by hand services: exampleservice0: devices: - /dev/nvidia0 - /dev/nvidiactl - /dev/nvidia-uvm - /dev/nvidia-uvm-tools environment: - EXAMPLEENVVARIABLE=example image: floydhub/dl-docker volumes: -./disk:/disk - nvidiadriver390.59:/usr/local/nvidia:ro version: '2' volumes: media: null nvidiadriver390.59: external: true 2) Under the Add Python Interprete-Docker compose, I add the nvidia-docker-compose.yml under the Service. However, when confirming the setting, Pycharm give the following error.
May I know where I do wrong. Thanks in advance for the time spent. Hi Pavel, thanks for the quick response.
I wonder how others are able to connect Pycharm to nvidia-docker. I guess they are using somewhat lower version. Some of the discussion can be found in the following 1) 2) (maybe use lower version of Pycharm) 3) (although he does not show how specifically on the setup) 4) These are few limited resources that I can found on the net discussing the setting up between pycharm and nvidia-docker. So, just to verify, are you sure PyCharm doesn't support nvidia-docker, if yes, then I will halt my current effort in dong this setting-up.
We’re getting started with the Early Access Program for PyCharm 2018.2! Even better, you can! New in PyCharm Improved Pytest support: Fixtures, and more PyCharm 2018.2 supports. Using fixtures allows you to separate your setup code from the actual tests, making for more concise, and more readable tests. Additionally, there have been improvements to code navigation and refactoring Pytest tests, and to using parametrized tests. You might also have noticed that PyCharm’s looks have been updated slightly.
In PyCharm 2018.2 we’re introducing a new set of icons that are mostly gray, and use color only to highlight important icons. Further Improvements. Type inference for math functions in Python 3 now works correctly. An issue where duplicates were shown in autocompletion popups has been resolved.
![V1.2.1 V1.2.1](http://freesoft.ru/screenshots/Linux/708615/708615-0-orig.jpg)
Non-English characters in Django templates are now correctly handled. And more: Interested?. Alternatively, you can to stay up to date throughout the entire EAP.
If you’re on Ubuntu 16.04 or later, you can use snap to get PyCharm EAP, and stay up to date. PyCharm 2018.2 is in development during the EAP phase, therefore not all new features are already available. More features will be added in the coming weeks. As PyCharm 2018.2 is pre-release software, it is not as stable as the release versions. Furthermore, we may decide to change and/or drop certain features as the EAP progresses.
All EAP versions will ship with a built-in EAP license, which means that these versions are free to use for 30 days after the day that they are built. As EAPs are released weekly, you’ll be able to use PyCharm Professional Edition EAP for free for the duration of the EAP program, as long as you upgrade at least once every 30 days.