Later NumPy versions?
by William Smith
Dear all,
My colleagues and I use PyOpenCL as part of an cell-based modelling program
(Tim Rudge's CellModeller, here <http://haselofflab.github.io/CellModeller/>
).
We would like to use CellModeller alongside a PDE Solver (FEniCS
<https://fenicsproject.org/>), whose NumPy requirements (>=1.13) conflict
with those of PyOpenCL (1.9). Is it possible to make PyOpenCL compatible
with later NumPy versions?
Here's the conflict in my conda environment:
$ conda install numpy=1.13
Solving environment: failed
UnsatisfiableError: The following specifications were found to be in
conflict:
- numpy=1.13
- pyopencl -> numpy=1.9.2
Use "conda info <package>" to see the dependencies for each package.
It looks like even the latest version of PyOpenCL (2018.2.2) still only
uses NumPy 1.9.3. What scope is there for overcoming this compatibility
issue?
Many thanks and best wishes,
W
Dr. William P J Smith
_____________________________________________
Postdoctoral researcher, Foster lab, University of Oxford
1 year, 3 months
Double free error ...
by Jerome Kieffer
Hi,
We encounter a bug in pyFAI which looks related to pyopencl & pybind11 ...
https://github.com/silx-kit/pyFAI/issues/1131
But this is a "rare" bug so we are struggling in reproduce it.
It has been seen on Linux, python3.5 and on MacOS.
Here is the config on Mac OS X
```
libc++abi.dylib: terminating with uncaught exception of type std::runtime_error: pybind11_object_dealloc(): Tried to deallocate unregistered instance!
Abort trap: 6
```
```
$ pip list
Package Version
------------------------ ----------
alabaster 0.7.12
appdirs 1.4.3
appnope 0.1.0
Babel 2.6.0
backcall 0.1.0
bitshuffle 0.3.5
bleach 3.1.0
certifi 2018.11.29
chardet 3.0.4
coverage 4.5.2
cycler 0.10.0
Cython 0.29.4
decorator 4.3.2
docutils 0.14
entrypoints 0.3
fabio 0.8.0
h5py 2.9.0
hdf5plugin 1.4.1
idna 2.8
imagesize 1.1.0
ipykernel 5.1.0
ipython 7.2.0
ipython-genutils 0.2.0
jedi 0.13.2
Jinja2 2.10
jsonschema 2.6.0
jupyter-client 5.2.4
jupyter-core 4.4.0
kiwisolver 1.0.1
lxml 4.3.0
Mako 1.0.7
MarkupSafe 1.1.0
matplotlib 3.0.2
mistune 0.8.4
nbconvert 5.3.1
nbformat 4.4.0
nbsphinx 0.4.2
numexpr 2.6.9
numpy 1.16.1
packaging 19.0
pandoc 1.0.2
pandocfilters 1.4.2
parso 0.3.2
pexpect 4.6.0
pickleshare 0.7.5
Pillow 5.4.1
pip 18.1
ply 3.11
prompt-toolkit 2.0.8
ptyprocess 0.6.0
pybind11 2.2.4
pyFAI 0.18.0a1
Pygments 2.3.1
pyopencl 2018.2.2
PyOpenGL 3.1.0
pyparsing 2.3.1
PyQt5 5.11.3
PyQt5-sip 4.19.13
python-dateutil 2.7.5
pytools 2019.1
pytz 2018.9
pyzmq 17.1.2
qtconsole 4.4.3
requests 2.21.0
scipy 1.2.0
setuptools 28.8.0
silx 0.10.0a0
six 1.12.0
snowballstemmer 1.2.1
Sphinx 1.8.4
sphinxcontrib-websupport 1.1.0
testpath 0.4.2
tornado 5.1.1
traitlets 4.3.2
urllib3 1.24.1
wcwidth 0.1.7
webencodings 0.5.1
wheel 0.32.3
```
Cheers,
Jerome
1 year, 3 months