Replies: 1 comment
-
|
This warning shouldn't cause any problems, because we don't write these
arrays internally. It is annoying, though, so we'll look at suppressing it
in future releases.
If this is causing other errors or you're seeing unexpected problems with
the output, then let us know.
…On Wed, 19 Oct 2022, 05:52 nthevan, ***@***.***> wrote:
Hello,
I've sucessfully installed Topaz in a conda environment. The conda
environment uses python 3.10 to allow for the correct pytorch installation
(I need CUDA11.6 compatibility). Unfortunately, I think this version of
python doesn't have the correct numpy for Topaz. I'm trying to run Topaz
from the wrapper in Relion4.0 and I'm stuck with this error:
UserWarning: The given NumPy array is not writable, and PyTorch does not
support non-writable tensors. This means writing to this tensor will result
in undefined behavior. You may want to copy the array to protect its data
or make it writable before converting it to a tensor. This type of warning
will be suppressed for the rest of this program. (Triggered internally at
/opt/conda/conda-bld/pytorch_1659484803030/work/torch/csrc/utils/tensor_numpy.cpp:172.
Does anyone know how to fix for this? I'm new to both Linux and Relion.
—
Reply to this email directly, view it on GitHub
<#157>, or unsubscribe
<https://github.com/notifications/unsubscribe-auth/ABIUKLUAPWOAW3XEWTKNHSDWD4LZFANCNFSM6AAAAAARIQJYD4>
.
You are receiving this because you are subscribed to this thread.Message
ID: ***@***.***>
|
Beta Was this translation helpful? Give feedback.
0 replies
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
-
Hello,
I've sucessfully installed Topaz in a conda environment. The conda environment uses python 3.10 to allow for the correct pytorch installation (I need CUDA11.6 compatibility). Unfortunately, I think this version of python doesn't have the correct numpy for Topaz. I'm trying to run Topaz from the wrapper in Relion4.0 and I'm stuck with this error:
UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /opt/conda/conda-bld/pytorch_1659484803030/work/torch/csrc/utils/tensor_numpy.cpp:172.
Does anyone know how to fix for this? I'm new to both Linux and Relion.
Beta Was this translation helpful? Give feedback.
All reactions