-
Notifications
You must be signed in to change notification settings - Fork 126
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Python: tsnecuda.TSNE() error, illegal memory access #21
Comments
Any update on this issue? |
Hello, I've got exactly the same issue:
My environment looks like:OS: Ubuntu 16.04 The Install is validated with the random(5000,50) dataset as indicated. The fit_transform gives a result with a random(5583,80) dataset (size of mine); max value 0.999 and min value 3e-7. Takes 4s. The fit_transform fails (GPUassert ... 55) with my sample dataset(5583,80); max value 0.967 and min value -0.601. The fit transform fails (GPUassert ... 55) with my dataset.abs(5583,80); max value 0.967 and min value 8.67e-8. My actual dataset is (785000,200).
I don't understand why the computing time for the projection grows up to 2mn31 for 285k and then decreases to 22.0s for 292k and 22.3s for 296k ?? |
Sorry for the long delay in response. There has been a bug that we've been tracking for a long time that causes this problem randomly. We believe we fixed it, although we're not 100% sure. We also have a new branch ("fit_tsne") which implements a version of tSNE using fast fourier transforms. This is both faster and more stable than the current Barnes-Hut implementation. We will be migrating that to the master branch at some point and also putting it on conda. In the meantime, if you'd like to try cloning the fit_tsne branch and seeing if that works, you may be able to fix the issue that way. |
This problem still exists. GPUassert: an illegal memory access was encountered /home/rmrao/miniconda3/conda-bld/tsnecuda_1538622901232/work/src/util/cuda_utils.cu 55 |
The |
Binaries for new release on CUDA 9.0 were just pushed to conda. You can install with |
I'm having some problems in order to execute the tsnecuda.TSNE() in my dataset.
Here you have a link to a github with the extended information and the data in order to reproduce the error:https://github.com/miqueleg/cuda-tSNE_problem
A a summary:
When I execute the TSNE function, a error is displayed:
System information:
OS: CentOS Linux 7
GPU: nvidia GeForce GTX980
Python 3.6.3
faiss-cpu 1.4.0 py36_cuda0.0_1 pytorch
faiss-gpu 1.4.0 py36_cuda8.0.61_1 pytorch
tsnecuda 0.1.1 py36_cuda80_0 [cuda80] cannylab
tsnecuda 0.1.1
I hope you can help me!
Thanks,
Miquel Estévez Gay
CompBioLab, UdG
The text was updated successfully, but these errors were encountered: