Comments (6)
@teju85 We checked this and the problem still exists, despite the cuML bug being resolved. @cjnolet is looking into it.
from rapids-single-cell-examples.
Possibly relevant cuML issue: rapidsai/cuml#2478
from rapids-single-cell-examples.
. Also, I note that while the CPU output is sorted by score (i.e., the top 50 diff. genes have high scores, and are sorted in decreasing order), the GPU output seems to be unsorted, and some of the scores are very low.
Are you referring to the resulting scores (.e.g, adata.uns['rank_genes_groups']['scores']
)? For me, the output for both CPU and GPU seem to be unsorted.
Correction: When using penalty='none'
, the major axis is indeed sorted in both the GPU and CPU notebooks.
While we wait for the release of the fix for rapidsai/cuml#2478, we have a couple options:
- Turn off regularization by passing
penalty='none'
into therank_genes_groups
functions for both CPU and GPU. - Set the
C
hyper-parameter to the number of elements in X as recommended in rapidsai/cuml#2478.
from rapids-single-cell-examples.
hey folks,
just curious. Since the above cuML issue has been fixed, did any of you get a chance rerun the code afterwards? Are you still facing this issue?
from rapids-single-cell-examples.
@teju85 thanks for the reminder, we'll check and get back to you.
from rapids-single-cell-examples.
This issue should be resolved now: rapidsai/cuml#3645
Will test and close.
from rapids-single-cell-examples.
Related Issues (20)
- RuntimeError: exception occured! when analysis using multigpu HOT 2
- The results consistency of RAPIDS implementation
- error of read_with_filter function
- Cannot open UCX library: (null) in PCA analysis of 1M_brain_gpu_analysis_multigpu HOT 3
- TypeError: rank_genes_groups() got multiple values for argument 'groups'
- jupyter notebooks difference between in the repo and within docker container
- can't run inference with atacworks pretrained model within the container on A100
- fix `rapids_scanpy_funcs.highly_variable_genes`
- ImportError: /usr/lib/x86_64-linux-gnu/libcuda.so.1: file too short HOT 1
- Illegal Memory Access: 1.3M cells RTX A6000 48GB out of memory on scaling step HOT 1
- change of cuml library
- gpu memory issue - 8M cell 24G GPU out of memory during umap HOT 1
- cell number limit: data point for 10M and 70M dataset
- weird UMAP results and very inconsistent with CPU results HOT 1
- conda import environment not working HOT 1
- csr_matrix with the .get method will return "Last value of index pointer should be less than the size of index and data arrays" HOT 3
- Getting a scalar from an IntervalIndex is not yet supported
- Residual GPU Memory usage HOT 3
- error in rapids_scanpy_funcs.highly_variable_genes HOT 5
- MultiGPU notebooks calculated differentially expressed PCAs HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from rapids-single-cell-examples.