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[MXNET-13453] [Clojure] - Add Spec Validations to the Optimizer namespace #13499

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merged 1 commit into from Dec 2, 2018

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hellonico
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Description

add some spec validations to the optimizer namespace

Checklist

Essentials

Please feel free to remove inapplicable items for your PR.

  • [ x] The PR title starts with [MXNET-$JIRA_ID], where $JIRA_ID refers to the relevant JIRA issue created (except PRs with tiny changes)
  • [ x] Changes are complete (i.e. I finished coding on this PR)
  • [ x] All changes have test coverage:

Changes

  • updated optimizer.clj with specs
  • added throw exception checks in optimizer_test.clj

@gigasquid
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Thanks @hellonico so much for your contribution! 😸 I'll take a closer look tomorrow. Don't worry about the failure on the Travis side, there have been some issues with it lately.

@vandanavk
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@mxnet-label-bot add [Clojure, pr-awaiting-review]

@marcoabreu marcoabreu added the pr-awaiting-review PR is waiting for code review label Dec 1, 2018
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@gigasquid gigasquid left a comment

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Looks great! Thanks so much for this contribution and for making the clojure package better 💯

@@ -44,3 +44,13 @@
["sgld" optimizer/sgld]]]
(doseq [opt opts]
(test-optimizer opt))))

(deftest test-optimizers-parameters-specs
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Nice tests 👍

@gigasquid
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I kicked off the Jenkins CI again - when it passes this is good to merge.

@gigasquid
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@hellonico - Can you change the PR to be against master ? Right now it against 1.3.0 - thanks!

@gigasquid gigasquid changed the base branch from v1.3.x to master December 1, 2018 23:32
@gigasquid
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@hellonico I was able to change the base in the PR, but I think you will need to rebase your commits against master to make it all clean :)

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Thanks @hellonico !!

@gigasquid gigasquid added pr-awaiting-merge Review and CI is complete. Ready to Merge and removed pr-awaiting-review PR is waiting for code review labels Dec 2, 2018
@gigasquid gigasquid merged commit b684c65 into apache:master Dec 2, 2018
sergeykolychev pushed a commit that referenced this pull request Dec 5, 2018
…ile (#13478)

* updated to v1.5.0

* Bumped minor version from 1.4.0 to 1.5.0 on master

* added Anirudh as maintainer for R package

... adding something useful and re-trigger PR check

* Updated license file for clojure, onnx-tensorrt, gtest, R-package

* Get the correct include path in pip package (#13452)

* add find_include_path API

* address reviewer comment

* change return type from list to string

* add unit test

* address reviewer comment

* address reviewer comment

* address reviewer comment

* address reviewer comment

* fix include path problem in pip package

* add comment

* fix lint error

* address reviewer comment

* address reviewer comment

* Use ~/.ccache as default ccache directory so is not cache is not erased on reboot (#13431)

* Skip flaky test #13446 (#13480)

* Rewrite dataloader with process pool, improves responsiveness and reliability (#13447)

* fix recordio.py

* rewrite dataloader with pool

* fix batch as tuple

* fix prefetching

* fix pylint

* picklable function

* use pickle

* add missing commit

* Fix errors in docstrings for subgraph op; use code directive (#13463)

* [MXNET-1158] JVM Memory Management Documentation (#13105)

* update train_mnist

* Add documentation for JVM Memory Management

* update doc

* address nit picks

* address nit picks

* Grammar and clarity edits for memory management doc

* Edits for scala memory management

* Update memory-management.md

* Update memory-management.md

* Update memory-management.md

* capitalization fix

* Update row_sparse tutorial (#13414)

Update row_sparse tutorial

* Add resiliency to onnx export code (#13426)

* Added resiliency to onnx export code

- With previous infer-shape implementation, if input shape was list instead of tuple or if extra non-existent parameters were provided, the code would still work. The fixes in this commit make sure that behavior is restored to prevent any compatibility issues with existing export code.

* Fixed name of net in unittest

* Fix pylint

* [MXNET-1185] Support large array in several operators (part 1) (#13418)

* fix a few operators with large arrays (# of elements)

* fix bug in broadcast_div and add tests

* address reviewer comment

* add unit test

* add empty line

* retrigger CI

* [MXNET-1210 ] Gluon Audio - Example (#13325)

* Initialized the example

* Addressed PR comments, about existing synset.txt file - no overwrite

* RST - docstring issues fixed

* added README

* Addressed PR comments

* Addressed PR comments, checking Divide by 0

* Raising error if format is not supported.

* changed a line for ndarray of labels

* Trigger CI

* Trigger CI

* PR comments addressed around skip_header argument

* Addressed PR comments around librosa import

* PR Comments

* Passing lazy=lazy from argument

* Added PR comments, labels to README.MD

* Trigger CI

* Addressing PR Comments in README

* Modified README.md

* Added example under audio folder

* Retrigger CI

* Retrigger CI

* ONNX export: Instance normalization, Shape (#12920)

* ONNX import/export: Make backend_rep common

* ONNX export: Instance Normalization

* ONNX export: Shape operator

* Clarify dependency on OpenCV in CNN Visualization tutorial. (#13495)

* clarify ops faq regarding docs strings (#13492)

* Add graph_compact operator. (#13436)

* add graph_compact.

* fix.

* add doc.

* add tests for graph_compact.

* address comments.

* update docs.

* trigger CI

* Deprecate Jenkinsfile (#13474)

* update github location for sampled_block.py (#13508)

Updated to https://github.com/dmlc/gluon-nlp/blob/master/src/gluonnlp/model/sampled_block.py

* #13453 [Clojure] - Add Spec Validations to the Optimizer namespace (#13499)

* ONNX export: Logical operators (#12852)

* Fix cmake options parsing in dev_menu (#13458)

Add GPU+MKLDNN unittests to dev_menu

* Revert "Manually track num_max_thread (#12380)" (#13501)

This reverts commit 7541021.

* Feature/mkldnn static 2 (#13503)

* build mkldnn as static lib

* update makefile to statically build mkldnn

* build static mkldnn

* fix static name

* fix static name

* update static for mac

* rename mkldnn dep in ci

* remove moving mkldnn dynamic lib

* remove commented code

* remove mkldnn dnaymic for unitest

* force static for mkldnn lib

* remove dynamic mkldnn bind

* only link windows

* add mkldnn.mk

* try force linking

* remove mkldnn dynanmic check

* remove test mkldnn install

* fix spacing

* fix index

* add artifacts

* add comment about windows

* remove static

* update makefile

* fix toctree Sphinx errors (#13489)

* fix toctree errors

* nudging file for CI

* Disabled flaky test test_gluon_data.test_recordimage_dataset_with_data_loader_multiworker (#13527)

* [MXNET-1234] Fix shape inference problems in Activation backward (#13409)

* Provide a failing test for ReLU activation shape inference bug

* Fix Activation backward shape inference

fixes: #13333

* Add softsign Activation to test_gluon.py

* Use activation in GPU if we are using CUDNN and not MKLDNN as it's happening right now

* Don't disable MKLDNN
zhaoyao73 pushed a commit to zhaoyao73/incubator-mxnet that referenced this pull request Dec 13, 2018
zhaoyao73 pushed a commit to zhaoyao73/incubator-mxnet that referenced this pull request Dec 13, 2018
…ile (apache#13478)

* updated to v1.5.0

* Bumped minor version from 1.4.0 to 1.5.0 on master

* added Anirudh as maintainer for R package

... adding something useful and re-trigger PR check

* Updated license file for clojure, onnx-tensorrt, gtest, R-package

* Get the correct include path in pip package (apache#13452)

* add find_include_path API

* address reviewer comment

* change return type from list to string

* add unit test

* address reviewer comment

* address reviewer comment

* address reviewer comment

* address reviewer comment

* fix include path problem in pip package

* add comment

* fix lint error

* address reviewer comment

* address reviewer comment

* Use ~/.ccache as default ccache directory so is not cache is not erased on reboot (apache#13431)

* Skip flaky test apache#13446 (apache#13480)

* Rewrite dataloader with process pool, improves responsiveness and reliability (apache#13447)

* fix recordio.py

* rewrite dataloader with pool

* fix batch as tuple

* fix prefetching

* fix pylint

* picklable function

* use pickle

* add missing commit

* Fix errors in docstrings for subgraph op; use code directive (apache#13463)

* [MXNET-1158] JVM Memory Management Documentation (apache#13105)

* update train_mnist

* Add documentation for JVM Memory Management

* update doc

* address nit picks

* address nit picks

* Grammar and clarity edits for memory management doc

* Edits for scala memory management

* Update memory-management.md

* Update memory-management.md

* Update memory-management.md

* capitalization fix

* Update row_sparse tutorial (apache#13414)

Update row_sparse tutorial

* Add resiliency to onnx export code (apache#13426)

* Added resiliency to onnx export code

- With previous infer-shape implementation, if input shape was list instead of tuple or if extra non-existent parameters were provided, the code would still work. The fixes in this commit make sure that behavior is restored to prevent any compatibility issues with existing export code.

* Fixed name of net in unittest

* Fix pylint

* [MXNET-1185] Support large array in several operators (part 1) (apache#13418)

* fix a few operators with large arrays (# of elements)

* fix bug in broadcast_div and add tests

* address reviewer comment

* add unit test

* add empty line

* retrigger CI

* [MXNET-1210 ] Gluon Audio - Example (apache#13325)

* Initialized the example

* Addressed PR comments, about existing synset.txt file - no overwrite

* RST - docstring issues fixed

* added README

* Addressed PR comments

* Addressed PR comments, checking Divide by 0

* Raising error if format is not supported.

* changed a line for ndarray of labels

* Trigger CI

* Trigger CI

* PR comments addressed around skip_header argument

* Addressed PR comments around librosa import

* PR Comments

* Passing lazy=lazy from argument

* Added PR comments, labels to README.MD

* Trigger CI

* Addressing PR Comments in README

* Modified README.md

* Added example under audio folder

* Retrigger CI

* Retrigger CI

* ONNX export: Instance normalization, Shape (apache#12920)

* ONNX import/export: Make backend_rep common

* ONNX export: Instance Normalization

* ONNX export: Shape operator

* Clarify dependency on OpenCV in CNN Visualization tutorial. (apache#13495)

* clarify ops faq regarding docs strings (apache#13492)

* Add graph_compact operator. (apache#13436)

* add graph_compact.

* fix.

* add doc.

* add tests for graph_compact.

* address comments.

* update docs.

* trigger CI

* Deprecate Jenkinsfile (apache#13474)

* update github location for sampled_block.py (apache#13508)

Updated to https://github.com/dmlc/gluon-nlp/blob/master/src/gluonnlp/model/sampled_block.py

* apache#13453 [Clojure] - Add Spec Validations to the Optimizer namespace (apache#13499)

* ONNX export: Logical operators (apache#12852)

* Fix cmake options parsing in dev_menu (apache#13458)

Add GPU+MKLDNN unittests to dev_menu

* Revert "Manually track num_max_thread (apache#12380)" (apache#13501)

This reverts commit 7541021.

* Feature/mkldnn static 2 (apache#13503)

* build mkldnn as static lib

* update makefile to statically build mkldnn

* build static mkldnn

* fix static name

* fix static name

* update static for mac

* rename mkldnn dep in ci

* remove moving mkldnn dynamic lib

* remove commented code

* remove mkldnn dnaymic for unitest

* force static for mkldnn lib

* remove dynamic mkldnn bind

* only link windows

* add mkldnn.mk

* try force linking

* remove mkldnn dynanmic check

* remove test mkldnn install

* fix spacing

* fix index

* add artifacts

* add comment about windows

* remove static

* update makefile

* fix toctree Sphinx errors (apache#13489)

* fix toctree errors

* nudging file for CI

* Disabled flaky test test_gluon_data.test_recordimage_dataset_with_data_loader_multiworker (apache#13527)

* [MXNET-1234] Fix shape inference problems in Activation backward (apache#13409)

* Provide a failing test for ReLU activation shape inference bug

* Fix Activation backward shape inference

fixes: apache#13333

* Add softsign Activation to test_gluon.py

* Use activation in GPU if we are using CUDNN and not MKLDNN as it's happening right now

* Don't disable MKLDNN
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4 participants