master / tensorflow-riemopt Goto Github PK

Hi! First of all, really appreciate you guys taking the time to build a much required riemmannian geometry based package in tensorflow. It is proving to be quite useful for me.
However, I recently ran the [GrNet code] (https://github.com/master/tensorflow-riemopt/tree/master/examples/grnet) with the AFEW dataset(the default dataset used in the code) on my machine and it seems at some point the input tensors get filled with NaN values. I tried tinkering with the learning rate and a few other usual things that could determine the cause of such NaN value in a dl model but it seems to be of no use. Any idea as to why this might be the case- is the code still been checked for bugs or am I missing something? Thanks in advance!

Hi,

Not sure if this package is actively maintained, but here goes. Does this package have an active conflict with the latest tensorflow version? Because trying to use this package leads to a 3 party conflict with tensorflow and tensorflow-probability, unless I used locked down versions mentioned in the requirements.txt.

Hi, nice to see another package doing optimizationon manifolds! I have not yet had the time to check this versus what pymanopt is doing (I think they use tensor flow as a backend, too?) But I just noticed that

https://github.com/master/tensorflow-manopt/blob/93402f6770d5b3c45f232340fddfa92a7126f19a/tensorflow_manopt/manifolds/symmetric_positive.py#L37-L41

This might be wrong. For SPDs, the characteristic property is, that all eigenvalues are positive, so this projection is not projection onto the manifold (of SPDs) but onto the set of positive semidefinite matrices. There is no projection onto the SPDs since that set is open in the set of (symmetric) matrices.

I am trying to install tensorflow-riemopt using pip, but I get the following error:

Collecting tensorflow-riemopt
Using cached tensorflow-riemopt-0.1.0.tar.gz (26 kB)
Preparing metadata (setup.py) ... error
error: subprocess-exited-with-error

× python setup.py egg_info did not run successfully.
│ exit code: 1
╰─> [12 lines of output]
Traceback (most recent call last):
File "", line 2, in
File "", line 34, in
File "/tmp/pip-install-_11t6hkx/tensorflow-riemopt_fac0a1b208494368aed81d89896d0ee5/setup.py", line 13, in
install_requires=Path("requirements.txt").read_text().splitlines(),
File "/usr/lib/python3.8/pathlib.py", line 1236, in read_text
with self.open(mode='r', encoding=encoding, errors=errors) as f:
File "/usr/lib/python3.8/pathlib.py", line 1222, in open
return io.open(self, mode, buffering, encoding, errors, newline,
File "/usr/lib/python3.8/pathlib.py", line 1078, in _opener
return self._accessor.open(self, flags, mode)
FileNotFoundError: [Errno 2] No such file or directory: 'requirements.txt'
[end of output]

note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.

The installation fails. Any ideas how to fix it ? I use python 3.8 and python 3.10 and Tensorflow 2.9.