Add MXNet GPU + GluonNLP and GluonCV toolkits#484
Merged
rosbo merged 3 commits intoKaggle:masterKaggle/docker-python:masterfrom Feb 25, 2019
Merged
Add MXNet GPU + GluonNLP and GluonCV toolkits#484rosbo merged 3 commits intoKaggle:masterKaggle/docker-python:masterfrom
rosbo merged 3 commits intoKaggle:masterKaggle/docker-python:masterfrom
Conversation
Contributor
|
Hi @Ishitori, Can you add smoke tests for GluonNLP + CV and also tests that exercises the GPU? See the tensorflow tests for an example: For tests that requires a GPU, add the Thank you |
Contributor
|
Thank you @Ishitori for adding the tests. |
Contributor
|
Hi @Ishitori, We have released new docker python images yesterday. Your new packages are available on Kaggle Kernels :) Thank you |
This file contains hidden or 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
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
This pull request adds GPU version of MXNet to GPU kernel + GluonNLP and GluonCV toolkits to both kernels.
I use pure (not MKL version) of MXNet in case MKL is not supported on the host.
I use CUDA 9.2 version, as I see other packages of GPU kernel relies on 9.2 version of CUDA. Feel free to change to MKL versions if it is guaranteed to present on the host:
mxnet-mklandmxnet-cu92mklpackages for CPU and GPU respectively.Relates to #452
@rosbo, thanks for fixing the master!