cudatoolkit 10.1 #18
Open
cudatoolkit 10.1 #18
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Add entries for CUDA 10.1 to build.py. 10.1 update 1 added two new libraries, libcublasLt and libnvjpeg. The linux run file requires the extraction path to be specified using: --installpath=path rather than the previous --toolkitpath path.
|
I not yet tested this on Windows, once I have I will remove the WIP label. |
|
Added few minor changes for the Windows build. |
|
This PR needs some more work as the |
Use the rhel6 runfile for CUDA 10.1. The cublas libraries are removed if a toolkit install is performed, rather extract the embedded cuda blob and extract the files from there.
|
This is working again. The linux install requires a bit of work as the standard installer does not support RHEL6/CentOS 6. The installer which does support these distributions does not extract the |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Recipe and modification to the build.py script needed for cudatoolkit 10.1 update 1.
Two new libraries are included in this release, libcublasLt and libnvjpeg (linux only), both are distributable under the same license as other libraries in the previous release.
The linux run file requires that the extraction path be passed via the --installpath argument
The cublas library version is 10.2 not 10.1.