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Upgrade 0.3.x to 0.15.3 #210

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Feb 26, 2019
Merged

Upgrade 0.3.x to 0.15.3 #210

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@nkreeger nkreeger commented Feb 25, 2019

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Reviewed 1 of 1 files at r1, 2 of 2 files at r2.
Reviewable status: :shipit: complete! 1 of 1 approvals obtained (waiting on @dsmilkov, @nsthorat, and @pyu10055)

@nkreeger nkreeger changed the base branch from master to 0.3.x February 25, 2019 23:43
@nkreeger nkreeger merged commit 13f56b5 into 0.3.x Feb 26, 2019
@nkreeger nkreeger deleted the kreeger-0.3.x branch February 26, 2019 22:01
nkreeger added a commit that referenced this pull request Mar 12, 2019
* 0.3.x: Update the publish-npm script to allow publishing from the release branch. (#203)

DEV

* Upgrade 0.3.x to 0.15.3 (#210)


<!-- Reviewable:start -->
This change is [<img src="https://reviewable.io/review_button.svg" height="34" align="absmiddle" alt="Reviewable"/>](https://reviewable.io/reviews/tensorflow/tfjs-node/210)
<!-- Reviewable:end -->

* Fix win GPU packaging. (#208) (#211)

Turns out that the windows GPU builds for TensorFlow 1.12 lack the directory structure and eager headers. A bug has been filed with core TF - but we should bake in some fixes for this.

This PR simply refactors the downloading logic to a new file. I'd like to use this logic in the node-gles package as well (maybe worth releasing as a stand-alone package in the future).

After the refactoring, I check the directory structure in Windows. If the folder structure is missing, but the required tensorflow.dll exists - I re-create the directory structure, move and download the proper header files.

The screenshot below shows the contents of TF 1.12 Windows GPU:
![capture](https://user-images.githubusercontent.com/306276/53048799-719f4b80-344a-11e9-9004-3eef2446a246.PNG)

<!-- Reviewable:start -->
This change is [<img src="https://reviewable.io/review_button.svg" height="34" align="absmiddle" alt="Reviewable"/>](https://reviewable.io/reviews/tensorflow/tfjs-node/208)
<!-- Reviewable:end -->

* Bump 0.3.1

* Add TensorBoard callback for model training: tf.node.tensorBoard() (#202) (#213)

FEATURE

See example screenshot:
![image](https://user-images.githubusercontent.com/16824702/52491877-19d52a80-2b96-11e9-8c24-5a403c2450d3.png)

Fixes tensorflow/tfjs#686

* [0.3.x] Upgrade nyc package fo fix lodash security issue. (#218) (#219)

Bump for 0.3.x so we can get a security release spun.

https://github.com/tensorflow/tfjs-node/network/alert/yarn.lock/lodash/open

<!-- Reviewable:start -->
---
This change is [<img src="https://reviewable.io/review_button.svg" height="34" align="absmiddle" alt="Reviewable"/>](https://reviewable.io/reviews/tensorflow/tfjs-node/219)
<!-- Reviewable:end -->

* Bump to 0.3.2

* Upgrade TS libraries and change binding from typings file to plain
TypeScript definition.

* Upgrade TS dependencies

* save

* Fix deps-stage

* save

* Revert TS changes and keep binary staging fixes.
nkreeger added a commit that referenced this pull request Mar 13, 2019
* 0.3.x: Update the publish-npm script to allow publishing from the release branch. (#203)

DEV

* Upgrade 0.3.x to 0.15.3 (#210)


<!-- Reviewable:start -->
This change is [<img src="https://reviewable.io/review_button.svg" height="34" align="absmiddle" alt="Reviewable"/>](https://reviewable.io/reviews/tensorflow/tfjs-node/210)
<!-- Reviewable:end -->

* Fix win GPU packaging. (#208) (#211)

Turns out that the windows GPU builds for TensorFlow 1.12 lack the directory structure and eager headers. A bug has been filed with core TF - but we should bake in some fixes for this.

This PR simply refactors the downloading logic to a new file. I'd like to use this logic in the node-gles package as well (maybe worth releasing as a stand-alone package in the future).

After the refactoring, I check the directory structure in Windows. If the folder structure is missing, but the required tensorflow.dll exists - I re-create the directory structure, move and download the proper header files.

The screenshot below shows the contents of TF 1.12 Windows GPU:
![capture](https://user-images.githubusercontent.com/306276/53048799-719f4b80-344a-11e9-9004-3eef2446a246.PNG)

<!-- Reviewable:start -->
This change is [<img src="https://reviewable.io/review_button.svg" height="34" align="absmiddle" alt="Reviewable"/>](https://reviewable.io/reviews/tensorflow/tfjs-node/208)
<!-- Reviewable:end -->

* Bump 0.3.1

* Add TensorBoard callback for model training: tf.node.tensorBoard() (#202) (#213)

FEATURE

See example screenshot:
![image](https://user-images.githubusercontent.com/16824702/52491877-19d52a80-2b96-11e9-8c24-5a403c2450d3.png)

Fixes tensorflow/tfjs#686

* [0.3.x] Upgrade nyc package fo fix lodash security issue. (#218) (#219)

Bump for 0.3.x so we can get a security release spun.

https://github.com/tensorflow/tfjs-node/network/alert/yarn.lock/lodash/open

<!-- Reviewable:start -->
---
This change is [<img src="https://reviewable.io/review_button.svg" height="34" align="absmiddle" alt="Reviewable"/>](https://reviewable.io/reviews/tensorflow/tfjs-node/219)
<!-- Reviewable:end -->

* Bump to 0.3.2

* Upgrade TS libraries and change binding from typings file to plain
TypeScript definition.

* Upgrade TS dependencies

* save

* Fix deps-stage

* save

* Revert TS changes and keep binary staging fixes.

* Don't use a definition file for the bindings.

This causes many issues and doesn't help with redistribution. It looks
like exporting a local definition file on top of what else is exported
is not a common supported TypeScript use case. This fix simply moves
defnitions into a normal TypeScript file.

This should fix: tensorflow/tfjs#1092

* save

* Add typescript integration project.

* save

* Add license
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2 participants