This repository has been archived by the owner on Nov 17, 2023. It is now read-only.
[BUGFIX][CD] fix failing MNIST tests #20014
Merged
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
|
Hey @access2rohit , Thanks for submitting the PR
CI supported jobs: [edge, unix-gpu, unix-cpu, centos-gpu, clang, windows-gpu, windows-cpu, website, sanity, miscellaneous, centos-cpu] Note: |
lanking520
added
the
pr-awaiting-testing
4 tasks
Zha0q1
approved these changes
Mar 12, 2021
lanking520
added
pr-work-in-progress
access2rohit
added a commit
to access2rohit/incubator-mxnet
that referenced
this pull request
Mar 12, 2021
Co-authored-by: Rohit Kumar Srivastava <[email protected]>
mseth10
added a commit
that referenced
this pull request
Mar 14, 2021
…20015) * [BACKPORT]Enable CUDA 11.0 on nightly + CUDA 11.2 on pip (#19295)(#19764) (#19930) * Enable CUDA 11.0 on nightly development builds (#19295) Remove CUDA 9.2 and CUDA 10.0 * [PIP] add build variant for cuda 11.2 (#19764) * adding ci docker files for cu111 and cu112 * removing previous CUDA make versions and adding support for cuda11.2 Co-authored-by: waytrue17 <[email protected]> Co-authored-by: Sheng Zha <[email protected]> Co-authored-by: Rohit Kumar Srivastava <[email protected]> * [FEATURE]Migrating all CD pipelines to Ninja build + fix cu112 CD pipeline (#19974) * migrating cd builds to ninja + removing static links to nvidia libs and leagacy cuda versions * installing NCCL manually for cuda11.2 container * set MSHADOW_USE_CUDNN=1 in CMakelists of mshadow to build properly for CUDNN support * adding coverage to cd requirements file to fix cu100, cu101 and cu102 tests * updating cd_test containers to ubuntu 18 * adding cmake config for linux native and adding USE_KV_STORE in linux_cpu * updating zmq builds to statically link to libmxnet.so * updating toolchains for r, clang and llvm for ubuntu18. OpenBlas Static link for 'distribution' build type only. Fix caffe build to use openCV 3. Remove leagacy Clang 3.9 from CI * fix versions for pip install in ubuntu_core_sh add new search path for cuDNN * finxing cudnn link problem for CUDA<=11.0 * adding library paths for libjpegturbo and lapack to fix failing CI on ubuntu 18 images * removing ASAN integration test from miscellaneous CI as its not required * fix lapack path for gpu builds * correctly installing libjpegturbo for ubuntu 18 * updating docker images of r,jekyll,julia etc test containers+ fix java version to 8 * installing libomp.so * removing debug test as its not required. Code clean-up * adding alternate URL source for MNIST dataset as original website is down * skipping flaky tests issue tracked #20011 Co-authored-by: Rohit Kumar Srivastava <[email protected]> * update cudnn from 7 to 8 for cu102 (#19506) * update cudnn from 7 to 8 for cu102 (#19522) * downloading MNIST dataset from alternate URL (#20014) Co-authored-by: Rohit Kumar Srivastava <[email protected]> * fixing CI issue with v1.8.x * addressing review comments Co-authored-by: waytrue17 <[email protected]> Co-authored-by: Sheng Zha <[email protected]> Co-authored-by: Rohit Kumar Srivastava <[email protected]> Co-authored-by: Manu Seth <[email protected]>
mseth10
added a commit
to mseth10/incubator-mxnet
that referenced
this pull request
Mar 15, 2021
…pache#20015) * [BACKPORT]Enable CUDA 11.0 on nightly + CUDA 11.2 on pip (apache#19295)(apache#19764) (apache#19930) * Enable CUDA 11.0 on nightly development builds (apache#19295) Remove CUDA 9.2 and CUDA 10.0 * [PIP] add build variant for cuda 11.2 (apache#19764) * adding ci docker files for cu111 and cu112 * removing previous CUDA make versions and adding support for cuda11.2 Co-authored-by: waytrue17 <[email protected]> Co-authored-by: Sheng Zha <[email protected]> Co-authored-by: Rohit Kumar Srivastava <[email protected]> * [FEATURE]Migrating all CD pipelines to Ninja build + fix cu112 CD pipeline (apache#19974) * migrating cd builds to ninja + removing static links to nvidia libs and leagacy cuda versions * installing NCCL manually for cuda11.2 container * set MSHADOW_USE_CUDNN=1 in CMakelists of mshadow to build properly for CUDNN support * adding coverage to cd requirements file to fix cu100, cu101 and cu102 tests * updating cd_test containers to ubuntu 18 * adding cmake config for linux native and adding USE_KV_STORE in linux_cpu * updating zmq builds to statically link to libmxnet.so * updating toolchains for r, clang and llvm for ubuntu18. OpenBlas Static link for 'distribution' build type only. Fix caffe build to use openCV 3. Remove leagacy Clang 3.9 from CI * fix versions for pip install in ubuntu_core_sh add new search path for cuDNN * finxing cudnn link problem for CUDA<=11.0 * adding library paths for libjpegturbo and lapack to fix failing CI on ubuntu 18 images * removing ASAN integration test from miscellaneous CI as its not required * fix lapack path for gpu builds * correctly installing libjpegturbo for ubuntu 18 * updating docker images of r,jekyll,julia etc test containers+ fix java version to 8 * installing libomp.so * removing debug test as its not required. Code clean-up * adding alternate URL source for MNIST dataset as original website is down * skipping flaky tests issue tracked apache#20011 Co-authored-by: Rohit Kumar Srivastava <[email protected]> * update cudnn from 7 to 8 for cu102 (apache#19506) * update cudnn from 7 to 8 for cu102 (apache#19522) * downloading MNIST dataset from alternate URL (apache#20014) Co-authored-by: Rohit Kumar Srivastava <[email protected]> * fixing CI issue with v1.8.x * addressing review comments Co-authored-by: waytrue17 <[email protected]> Co-authored-by: Sheng Zha <[email protected]> Co-authored-by: Rohit Kumar Srivastava <[email protected]> Co-authored-by: Manu Seth <[email protected]>
Sign up for free
to subscribe to this conversation on GitHub.
Already have an account?
Sign in.
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.
Description
downloading MNIST dataset from alternate URL
Checklist
Essentials
Testing
Local CD pipeline which clone of v1.x one: https://jenkins.mxnet-ci.amazon-ml.com/job/restricted-mxnet-cd/job/mxnet-cd-pipeline-1.x-rohit/