GNU Nano to Receive Version 3.2

Check new features and updates of popular text editor
13 November 2018   239

Benno Schulenberg announced the release of the text editor GNU nano version 3.2. In the new version, the developers solved the problem of ignoring Unicode characters in lines, added processing of nanorc files in a limited mode, and implemented the display of the cursor in help mode using the --showcursor function.

In addition to fixing bugs developers added next features:

  • Removed the default action binding to the F13, F14, and F15 keys.
  • Implemented the ability to open other files in view mode (using --restricted together with --view prohibits it).
  • Added processing of nanorc files in limited mode. The user can disable reading files using the --ignorercfiles function.
  • Renamed the prevhistory and nexthistory functions in older and newer (for this you need to change the nanorc files).
  • The --zap function is bound to the Alt and Delete key combinations for strings, as well as to Backspace and Delete for selected areas. Using the function, the developer deletes lines or selected areas without changing the buffer of the deleted information.
  • Changed the default key combination to call the linter function. It is invoked by simultaneously pressing Meta and B, and the combination of Ctrl and T changes the color of the status bar and the title text. At the same time, it can be used in application analysis mode.

GNU nano is a free text editor for use on UNIX and Unix-like systems.

Facebook to Release PyTorch 1.0

This release added support for large cloud platforms, a C ++ interface, a set of JIT compilers
10 December 2018   103

Facebook has released a stable version of the library for machine learning PyTorch 1.0. This iteration added support for large cloud platforms, a C ++ interface, a set of JIT compilers, and various improvements.

The stable version received a set of JIT compilers that eliminate the dependence of the code on the Python interpreter. The model code is transformed into Torch Script - a superstructure over Python. Keeping the opportunity to work with the model in the Python environment, the user can download it to other projects not related to this language. So, the PyTorch developers state that the code processed in this way can be used in the C ++ API.

The torch.distributed package and the torch.nn.parallel.DistributedDataParallel module are completely redesigned. torch.distributed now has better performance and works asynchronously with the Gloo, NCCL and MPI libraries.

The developers added a C ++ wrapper to PyTorch 1.0. It contains analogs of Python interface components, such astorch.nn,torch.optim, torch.data. According to the creators, the new interface should provide high performance for C ++ applications. True, the C ++ API is still experimental, but it can be used in projects now.

To improve the efficiency of working with PyTorch 1.0, a Torch Hub repository has been created, which stores pre-trained models of neural networks. You can publish your own development using the hubconf.py file, after which the model will be available for download by any user via the torch.hub.load API.

Support for C extensions and the module torch.utils.trainer were removed from the library.

Facebook released the preliminary version of PyTorch 1.0 at the beginning of October 2018, and in two months the developers brought the framework to a stable state.