The init script produces:

fatal: reference is not a tree: 4e8093554080bde69bc66ca15f6fe63de573ef8a
Unable to checkout '4e8093554080bde69bc66ca15f6fe63de573ef8a' in submodule path 'veles/znicz'
Failed to checkout submodules, retrying...
fatal: reference is not a tree: 4e8093554080bde69bc66ca15f6fe63de573ef8a
Unable to checkout '4e8093554080bde69bc66ca15f6fe63de573ef8a' in submodule path 'veles/znicz'
Failed to checkout submodules, retrying...
fatal: reference is not a tree: 4e8093554080bde69bc66ca15f6fe63de573ef8a
Unable to checkout '4e8093554080bde69bc66ca15f6fe63de573ef8a' in submodule path 
...

during a fresh install.

Add link_inputs method to InputJoiner class, add input_0, input_1, ..., offset_0, offset_1, ..., length_0, length_1, ... properties for each of the input.

It is necessary to add the ability to save the results in PDF after the trainings, in any case. This is particularly necessary for a long time training models (for example, imagenet)

Unit.links_from and Unit.links_to may contain weak references in order to enable garbage collection. It may confuse users who try to read linked units.

lpodoynitsina@lpodoynitsinau64:~/Projects/Veles$ python Python 2.7.6 (default, Jun 22 2015, 17:58:13) [GCC 4.8.2] on linux2 Type "help", "copyright", "credits" or "license" for more information.

import veles veles/init.py:67: UserWarning: Cannot expand variables generated by Git, setting them to None warn("Cannot expand variables generated by Git, setting them to None") kwargs={"dry_run": "init", "snapshot": file_name, "stealth": True} Traceback (most recent call last): File "", line 1, in NameError: name 'file_name' is not defined kwargs={"dry_run": "init", "stealth": True} path_to_model = "veles/znicz/samples/MNIST/mnist.py" launcher = veles(path_to_model, **kwargs) Traceback (most recent call last): File "", line 1, in File "veles/init.py", line 179, in call Main = import_module("veles.main").Main TypeError: 'NoneType' object is not callable

Data is in a new format after refactoring preparation_imagenet, so we need to fix loader in ImagenetAE. And plotters does not work at fine tuning stage.

Patching CVE-2007-4559

Hi, we are security researchers from the Advanced Research Center at Trellix. We have began a campaign to patch a widespread bug named CVE-2007-4559. CVE-2007-4559 is a 15 year old bug in the Python tarfile package. By using extract() or extractall() on a tarfile object without sanitizing input, a maliciously crafted .tar file could perform a directory path traversal attack. We found at least one unsantized extractall() in your codebase and are providing a patch for you via pull request. The patch essentially checks to see if all tarfile members will be extracted safely and throws an exception otherwise. We encourage you to use this patch or your own solution to secure against CVE-2007-4559. Further technical information about the vulnerability can be found in this blog.

If you have further questions you may contact us through this projects lead researcher Kasimir Schulz.

using

wget -O - https://velesnet.ml/ubuntu-install.sh | bash -

got

...
Reading package lists... Done
W: The repository 'https://velesnet.ml/apt xenial Release' does not have a Release file.
N: Data from such a repository can't be authenticated and is therefore potentially dangerous to use.
N: See apt-secure(8) manpage for repository creation and user configuration details.
E: Failed to fetch https://velesnet.ml/apt/dists/xenial/main/binary-amd64/Packages  404  Not Found
E: Some index files failed to download. They have been ignored, or old ones used instead.
Reading package lists... Done
Building dependency tree       
Reading state information... Done
E: Unable to locate package python3-veles

Is project even alive? As for now it seems the only ML framework with full OpenCL support - would sad if you buried it.

Hello,

on veles website, the "docs" tab leads to a 404 : https://velesnet.ml/docs Same problem with https://velesnet.ml/jenkins

I just wanted to warn you Many thanks !

Hello,

we are looking for a deep learning platform to train against a vivante gc2000 gpu from the imx6q board which supports only opencl 1.1 Embedded Profile.

Does Veles supports that limited version of opencl?

Thanks

Veles actually is a deep learning(DNN) application. But its description says "Distributed machine learning platform". Deep Learning is a subset of Machine Learning, so it should be "Distributed deep learning platform". Thanks.