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[MXAPPS-581] Fixes for broken Straight Dope tests. #11923

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merged 1 commit into from
Jul 29, 2018

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vishaalkapoor
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This change fixes a few broken notebooks in the Straight Dope tests. It's a follow up to #11814.

  • Update relative paths pointing to the data directory to point to the
    correct place in the testing temporary folder.

  • Enable the notebooks that were previously broken because of relative
    file paths not pointing to the correct place.

  • Move some notebooks we do not plan to test to the whitelist. These
    notebooks are not published in the Straight Dope book.

  • Clean-up: Convert print statements to info/warn/error logging
    statements. Add some logging statements for better status.

* Update relative paths pointing to the data directory to point to the
  correct place in the testing temporary folder.

* Enable the notebooks that were previously broken because of relative
  file paths not pointing to the correct place.

* Move some notebooks we do not plan to test to the whitelist. These
  notebooks are not published in the Straight Dope book.

* Clean-up: Convert print statements to info/warn/error logging
  statements. Add some logging statements for better status.
@vishaalkapoor
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Hey @marcoabreu, here's the first follow up. There'll be one or two more. One notable thing we do here is update the logging so that it's not suppressed (we call nosetests with --nologcapture).

@hasanmua
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Hasan089

@szha szha merged commit 6372037 into apache:master Jul 29, 2018
aaronmarkham added a commit to aaronmarkham/incubator-mxnet that referenced this pull request Aug 7, 2018
* adding param for list of tags to display on website

* using new website display argument for artifact placement in version folder

* adding display logic

* remove restricted setting for testing

* update usage instructions

* reverted Jenkinsfile to use restricted nodes

[MXAPPS-581] Fixes for broken Straight Dope tests. (apache#11923)

* Update relative paths pointing to the data directory to point to the
  correct place in the testing temporary folder.

* Enable the notebooks that were previously broken because of relative
  file paths not pointing to the correct place.

* Move some notebooks we do not plan to test to the whitelist. These
  notebooks are not published in the Straight Dope book.

* Clean-up: Convert print statements to info/warn/error logging
  statements. Add some logging statements for better status.

Disable flaky test: test_spatial_transformer_with_type (apache#11930)

apache#11839

Add linux and macos MKLDNN Building Instruction (apache#11049)

* add linux and macos doc

* update doc

* Update MKL_README.md

* Update MKL_README.md

Add convolution code to verify mkldnn backend

* add homebrew link

* rename to MKLDNN_README

* add mkl verify

* trigger

* trigger

* set mac complier to gcc47

* add VS2017 support experimentally

* improve quality

* improve quality

* modify mac build instruction since prepare_mkldnn.sh has been rm

* trigger

* add some improvement

[MXNET-531] Add download util (apache#11866)

* add changes to example

* place the file to the util

* add retry scheme

* fix the retry logic

* change the DownloadUtil to Util

* Trigger the CI

[MXNET-11241] Avoid use of troublesome cudnnFind() results when grad_req='add' (apache#11338)

* Add tests that fail due to issue 11241

* Fix apache#11241 Conv1D throws CUDNN_STATUS_EXECUTION_FAILED

* Force algo 1 when grad_req==add with large c.  Expand tests.

* Shorten test runtimes.

Improving documentation and error messages for Async distributed training with Gluon (apache#11910)

* Add description about update on kvstore

* add async check for gluon

* only raise error if user set update_on_kvstore

* fix condition

* add async nightly test

* fix case when no kvstore

* add example for trainer creation in doc

[MXNET-641] fix R windows install docs (apache#11805)

* fix R windows install docs

* addressed PR comments

* PR comments

* PR comments

* fixed line wrappings

* fixed line wrappings

a hot fix for mkldnn link (apache#11939)

re-enabling randomized test_l2_normalization (apache#11900)

[MXNET-651] MXNet Model Backwards Compatibility Checker (apache#11626)

* Added MNIST-MLP-Module-API models to check model save and load_checkpoint methods

* Added LENET with Conv2D operator training file

* Added LENET with Conv2d operator inference file

* Added LanguageModelling with RNN training file

* Added LamguageModelling with RNN inference file

* Added hybridized LENET Gluon Model training file

* Added hybridized LENET gluon model inference file

* Added license headers

* Refactored the model and inference files and extracted out duplicate code in a common file

* Added runtime function for executing the MBCC files

* Added JenkinsFile for MBCC to be run as a nightly job

* Added boto3 install for s3 uploads

* Added README for MBCC

* Added license header

* Added more common functions from lm_rnn_gluon_train and inference files into common.py to clean up code

* Added scripts for training models on older versions of MXNet

* Added check for preventing inference script from crashing in case no trained models are found

* Fixed indentation issue

* Replaced Penn Tree Bank Dataset with Sherlock Holmes Dataset

* Fixed indentation issue

* Removed training in models and added smaller models. Now we are simply checking a forward pass in the model with dummy data.

* Updated README

* Fixed indentation error

* Fixed indentation error

* Removed code duplication in the training file

* Added comments for runtime_functions script for training files

* Merged S3 Buckets for storing data and models into one

* Automated the process to fetch MXNet versions from git tags

* Added defensive checks for the case where the data might not be found

* Fixed issue where we were performing inference on state model files

* Replaced print statements with logging ones

* Removed boto install statements and move them into ubuntu_python docker

* Separated training and uploading of models into separate files so that training runs in Docker and upload runs outside Docker

* Fixed pylint warnings

* Updated comments and README

* Removed the venv for training process

* Fixed indentation in the MBCC Jenkins file and also separated out training and inference into two separate stages

* Fixed indendation

* Fixed erroneous single quote

* Added --user flag to check for Jenkins error

* Removed unused methods

* Added force flag in the pip command to install mxnet

* Removed the force-re-install flag

* Changed exit 1 to exit 0

* Added quotes around the shell command

* added packlibs and unpack libs for MXNet builds

* Changed PythonPath from relative to absolute

* Created dedicated bucket with correct permission

* Fix for python path in training

* Changed bucket name to CI bucket

* Added set -ex to the upload shell script

* Now raising an exception if no models are found in the S3 bucket

* Added regex to train models script

* Added check for performing inference only on models trained on same major versions

* Added set -ex flags to shell scripts

* Added multi-version regex checks in training

* Fixed typo in regex

* Now we will train models for all the minor versions for a given major version by traversing the tags

* Added check for validating current_version

[MXNET-531] NeuralStyle Example for Scala (apache#11621)

* add initial neuralstyle and test coverage

* Add two more test and README

* kill comments

* patch on memory leaks fix

* fix formatting issues

* remove redundant files

* disable the Gan example for now

* add ignore method

* add new download scheme to match the changes
XinYao1994 pushed a commit to XinYao1994/incubator-mxnet that referenced this pull request Aug 29, 2018
* Update relative paths pointing to the data directory to point to the
  correct place in the testing temporary folder.

* Enable the notebooks that were previously broken because of relative
  file paths not pointing to the correct place.

* Move some notebooks we do not plan to test to the whitelist. These
  notebooks are not published in the Straight Dope book.

* Clean-up: Convert print statements to info/warn/error logging
  statements. Add some logging statements for better status.
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3 participants