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igm_old's Issues

_tkinter.TclError

I'm running the example "paleo-alps" and get this error:

Traceback (most recent call last):
  File "igm-run.py", line 94, in <module>
    glacier.animate_result('ex.nc','thk',save=True)
  File "/home/bowen/igm/src/igm.py", line 3625, in animate_result
    HTML(ani.to_html5_video())
  File "/home/bowen/anaconda3/envs/igm/lib/python3.8/site-packages/matplotlib/animation.py", line 1266, in to_html5_video
    self.save(str(path), writer=writer)
  File "/home/bowen/anaconda3/envs/igm/lib/python3.8/site-packages/matplotlib/animation.py", line 1063, in save
    with mpl.rc_context({'savefig.bbox': None}), \
  File "/home/bowen/anaconda3/envs/igm/lib/python3.8/contextlib.py", line 113, in __enter__
    return next(self.gen)
  File "/home/bowen/anaconda3/envs/igm/lib/python3.8/site-packages/matplotlib/animation.py", line 229, in saving
    self.setup(fig, outfile, dpi, *args, **kwargs)
  File "/home/bowen/anaconda3/envs/igm/lib/python3.8/site-packages/matplotlib/animation.py", line 315, in setup
    self._w, self._h = self._adjust_frame_size()
  File "/home/bowen/anaconda3/envs/igm/lib/python3.8/site-packages/matplotlib/animation.py", line 304, in _adjust_frame_size
    self.fig.set_size_inches(w, h, forward=True)
  File "/home/bowen/anaconda3/envs/igm/lib/python3.8/site-packages/matplotlib/figure.py", line 2961, in set_size_inches
    manager.resize(*(size * self.dpi).astype(int))
  File "/home/bowen/anaconda3/envs/igm/lib/python3.8/site-packages/matplotlib/backends/_backend_tk.py", line 506, in resize
    self.canvas._tkcanvas.configure(width=width, height=height)
  File "/home/bowen/anaconda3/envs/igm/lib/python3.8/tkinter/__init__.py", line 1646, in configure
    return self._configure('configure', cnf, kw)
  File "/home/bowen/anaconda3/envs/igm/lib/python3.8/tkinter/__init__.py", line 1636, in _configure
    self.tk.call(_flatten((self._w, cmd)) + self._options(cnf))
_tkinter.TclError: invalid command name ".!canvas"

I searched it but cannot figure it out. Do you have any idea about this?

Installation instructions

Just reporting what I had to do to get TF installed on my Linux Mint machine. The current doc has instructions for TF 2.8.0 and I encountered this problem when using mamba + conda-forge for all packages.

$ mamba install -y cudatoolkit=11.2 cudnn=8.1 -c conda-forge   
$ CONDA_OVERRIDE_CUDA="11.2" mamba install -y tensorflow=2.11.0 tensorflow-gpu=2.11.0 -c conda-forge

Setting the CONDA_OVERRIDE_CUDA was important, and it did not work for TF 2.8.0 but it did for 2.11.0

With this at least I can run on CPU, but not yet on GPU, with error:

2023-05-12 13:06:22.925539: E tensorflow/compiler/xla/stream_executor/cuda/cuda_driver.cc:267] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected
2023-05-12 13:06:22.925574: I tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (flappi-top): /proc/driver/nvidia/version does not exist

I'll investigate further and report back.

Installation on Ubuntu 22.04 - setting up environment with mamba

What the wiki suggests, 1. create an environment and 2. install mamba in it, worked. However, later it caused problems with dependencies (tensorflow, even matplotlib). My solution was to install mamba directly after conda in the base and then build the environment with mamba. This caused no complications with the packages. Installing mamba directly into the base is also strongly recommended by the mamba documentation.

Maybe someone has had similar or different experiences and can use my experience as a starting point if there are problems with the installation.

in the base:
mamba 1.4.1

environment:
python 3.10.11
tensorflow 2.11.0
and all other packages..

Tensorflow and Keras installation

Hi Guillaume,

I was wondering why are Keras and Tensorflow installed with pip and not conda? ("Installing Python Packages" section of your README)

Installing with pip in a conda environment can lead to complex issues. And here, all the packages you install with pip are available with conda`.

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