Can anyone please help me out in resolving this error. I don't know yet if that's possible, or necessary, or even worth it at all. For this to work, we specify all packages explicitly for abuild, instead of letting abuild do the resolving. I was under the impression that when you assigned a function to a Tkinter button and that function doesn't accept any arguments, you didn't need to put the after the function or self. If fetches is a list, this function will behave like tf.
There's an issue with Busybox's acpid, where it is unable to detect new devices added after the daemon loads. The observation that triggered this was that in main all actions can execute using just one parameter, args. If fetches is a dict then this function will also return a dict where the returned values are associated with the corresponding keys from the fetches dict. What about tuples, nested dictionaries, or dictionaries containing lists of elements? For example, when you check out the pmbootstrap git repository again into another folder, although you have already built packages. With dictionaries the key doesn't change depending on other elements in the dict, so it would be possible to do something like saving summaries without even knowing the schedule: if 'summaries ' in result: writer. I suspect that it wouldn't be hard to do something similar in perhaps as part of , but I didn't want to spend a lot of time on it before asking. The biggest problem though is that this change is going to break thousands of people who have code using session.
While this is not largely a concern now, this will become a problem once we have a binary package repository, because then the packages from the binary repo will always seem to be outdated, if you just freshly checked out the repository. Any help would be highly appreaciated. With this function, fetches can be either a list or a dictionary. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. For instance, there may be some code which feeds in a dict into session.
I think my own needs would be covered if it just works with both lists and dictionaries. Keyword arguments: session -- An open TensorFlow session. But I couldn't zap, because the status check was preventing shutdown on which zap depends from working. This is required for , for a better detection of outdated packages because the internal package database saves the package's timestamp, too. This commit works around that.
Please note, that this implementation is actually slower, than the previous one. I propose adding support for using a dictionary as input for the fetch argument, and receiving a corresponding dictionary as the return value. To combat this, git gets asked if the files from the aport we're looking at are in sync with upstream, or not. I've also used this improved function for determining the apk version for the outdated version check , and I've deleted pmb. The run function I shared above was only made to cover my own basic needs and serve as an example. I tried almost everything that is mentioned on the internet, but to avail. Ultimately most people may be using TensorFlow through one of those higher level interface anyway, rather than calling session.
As a consequence the index in the returned list that contains the loss might vary from one run to the next, and I would have to build extra logic to handle this. Your build exited with 0. Ideally the implementation should of course be fully backwards compatible so it can be included in the main tf. Methods of a class are generally instance methods I think that is the terminology? For example i might want to fetch summaries for TensorBoard every 20 iterations while only fetching the loss printing to the console every 50 iterations. Have a question about this project? Because the file names of these changes will be used to release files from staging to release.
For instance, there may be some code which feeds in a dict into session. Session it is a good policy to be extra cautious. Then all files have the timestamp of the checkout, and the packages will appear to be outdated. That means that the return value would be a list that sometimes have none of the extra elements, sometimes one of them, and sometimes both. I've found out, that this can lead to more rebuilds than expected. Seems, Keras is literally made for a good reason since tensor flow kills time. Finally, the performance of the dependency resolution is faster again when compared to the current version in master , because the parsed apkbuilds and finding the aport by pkgname gets cached during one pmbootstrap call in args.
Probably meant to call 'globals ' and not 'locals '. Only when the files are not in sync with upstream and the timestamps of the sources are newer, a rebuild gets triggered from now on. In general, changes to core interface may break tests in unexpected ways an require some work to get integrated. This commit adds the acpid daemon. I'm not quite sure what you are doing, but the only place where you create an OutputArea instance is line 82 of your gist.
I assume that you are talking about at least initially implementing it as a subclass that can be used as e. This should make development much more intuitive. . This is the case on the N900, where openrc starts acpid well before the kernel is done modprobing drivers e. Prior to this change, it only got restarted, when the architecture changed so it did not allow changing the job count on the fly for example.
You should pass a reference to an instance method in line 28. This uses acpid from busybox I was wrong about the real acpid package , and anl acpi. It might be better to create a different interface on top of TensorFlow, like Keras, PrettyTensor, tf. Here I am trying to convert x4 tf. A nice benefit is, that this is faster than calling apk every time and it doesn't fill up the log as much.