Skip to content
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.

Sign up for GitHub

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

Jump to bottom

CUDA implementation of MLPG #4

Closed
r9y9 opened this issue Aug 1, 2017 · 0 comments
Closed

CUDA implementation of MLPG #4

r9y9 opened this issue Aug 1, 2017 · 0 comments
Milestone
0.1.0

Comments

@r9y9
Copy link
Owner

r9y9 commented Aug 1, 2017 •
edited

MGE training is quite slow.
@r9y9 r9y9 added this to the 0.2.0 milestone Aug 6, 2017
@r9y9 r9y9 modified the milestones: 0.1.0, 0.2.0 Aug 15, 2017
r9y9 added a commit that referenced this issue Aug 20, 2017
@r9y9
Add faster version of MLPG and linalg utilities
1484238 
New function `UnitVarianceMLPG` can run on GPU/CPU. Fixes #4

The package now requires cython.
@r9y9 r9y9 mentioned this issue Aug 20, 2017
Merged
r9y9 added a commit that referenced this issue Aug 20, 2017
@r9y9
Add faster version of MLPG and linalg utilities
e80d3fb 
New function `UnitVarianceMLPG` can run on GPU/CPU. Fixes #4

The package now requires cython.

Add variance expand for autograd MLPG

Fixes
@r9y9 r9y9 closed this as completed in #21 Aug 21, 2017
r9y9 added a commit that referenced this issue Aug 21, 2017
@r9y9
Add faster version of autograd MLPG and linalg utilities (#21)
1ac385b 
* Add faster version of MLPG and linalg utilities

New function `UnitVarianceMLPG` can run on GPU/CPU. Fixes #4

The package now requires cython.

Add variance expand for autograd MLPG

Fixes

* Add simple benchmark for MLPG

* Minor fix

* UnitVarianceMLPG can now support reshaped/unreshaped means

and also support 3d tensors
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
0.1.0
Development

No branches or pull requests
1 participant
@r9y9