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[v1.7] Backport Gluon Activations Fix #18370 #18700

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Jul 14, 2020

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@sxjscience sxjscience requested a review from szha as a code owner July 13, 2020 20:48
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Hey @sxjscience , Thanks for submitting the PR
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@ciyongch I will also need this fix about Gluon Activations in Numpy.

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@ciyongch Would you help review or merge this?

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Hi @TaoLv , please help to merge the PR. Thanks.

@TaoLv TaoLv merged commit 61597a5 into apache:v1.7.x Jul 14, 2020
@ChaiBapchya
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@TaoLv @sxjscience Missing in v1.x branch. Intentional?

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sxjscience commented Sep 20, 2020 via email

@ChaiBapchya
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Can we cherry-pick this into v1.x then? So that we can ensure it gets into v1.8 as well?

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@ChaiBapchya Yes, feel free to go ahead and pick it to v1.x.

leezu pushed a commit to leezu/mxnet that referenced this pull request Oct 1, 2020
samskalicky pushed a commit that referenced this pull request Oct 2, 2020
* * Fix einsum gradient (#18482)

* [v1.7.x] Backport PRs of numpy features (#18653)

* add zero grad for npi_unique (#18080)

* fix np.clip scalar input case (#17788)

* fix true_divide (#18393)

Co-authored-by: Hao Jin <hjjn.amzn@gmail.com>
Co-authored-by: Xi Wang <xidulu@gmail.com>

* [v1.7.x] backport mixed type binary ops to v1.7.x (#18649)

* Fix Windows GPU CI (#17962)

Update Windows CI to use VS 2019 and enable x64 bit toolchain. Previously we are using an older 32 bit toolchain causing OOM errors during linking. Switching to x64 bit toolchain on the older VS version previously used by the CI was attempted in #17912 and did not work. Update to Cuda 10.2 as it is required by VS 2019. Switch to ninja-build on Windows to speed up build as ninja-build is now preinstalled. Remove logic to install cmake 3.16 on every PR as cmake 3.17 is now preinstalled. Add build retrials due to cuda thrust + VS2019 flakyness.

Co-authored-by: vexilligera <vexilligera@gmail.com>

* backport mixed type

Co-authored-by: Leonard Lausen <lausen@amazon.com>
Co-authored-by: vexilligera <vexilligera@gmail.com>

* revise activations (#18700)

* [v1.6] Fix the monitor_callback invalid issue during calibration with variable input shapes (#18632) (#18703)

* Fix the monitor_callback invalid issue during calibration with variable input shapes

* retrigger CI

* Add UT for monitor check and disable codecov

Co-authored-by: Tao Lv <tao.a.lv@intel.com>

* Fail build_windows.py if all retries failed (#18177)

* Update to thrust 1.9.8 on Windows (#18218)

* Update to thrust 1.9.8 on Windows

* Remove debug logic

* Re-enable build retries on MSVC (#18230)

Updating thrust alone did not help. Similar issues (though less often) still
occur with updated thrust, and also with nvidia cub. Tracked upstream at
NVIDIA/thrust#1090

Co-authored-by: Ke Han <38852697+hanke580@users.noreply.github.com>
Co-authored-by: Xingjian Shi <xshiab@connect.ust.hk>
Co-authored-by: Hao Jin <hjjn.amzn@gmail.com>
Co-authored-by: Xi Wang <xidulu@gmail.com>
Co-authored-by: Yijun Chen <chenyijun0902@gmail.com>
Co-authored-by: vexilligera <vexilligera@gmail.com>
Co-authored-by: ciyong <ciyong.chen@intel.com>
Co-authored-by: Tao Lv <tao.a.lv@intel.com>
samskalicky pushed a commit to samskalicky/incubator-mxnet that referenced this pull request Oct 2, 2020
* * Fix einsum gradient (apache#18482)

* [v1.7.x] Backport PRs of numpy features (apache#18653)

* add zero grad for npi_unique (apache#18080)

* fix np.clip scalar input case (apache#17788)

* fix true_divide (apache#18393)

Co-authored-by: Hao Jin <hjjn.amzn@gmail.com>
Co-authored-by: Xi Wang <xidulu@gmail.com>

* [v1.7.x] backport mixed type binary ops to v1.7.x (apache#18649)

* Fix Windows GPU CI (apache#17962)

Update Windows CI to use VS 2019 and enable x64 bit toolchain. Previously we are using an older 32 bit toolchain causing OOM errors during linking. Switching to x64 bit toolchain on the older VS version previously used by the CI was attempted in apache#17912 and did not work. Update to Cuda 10.2 as it is required by VS 2019. Switch to ninja-build on Windows to speed up build as ninja-build is now preinstalled. Remove logic to install cmake 3.16 on every PR as cmake 3.17 is now preinstalled. Add build retrials due to cuda thrust + VS2019 flakyness.

Co-authored-by: vexilligera <vexilligera@gmail.com>

* backport mixed type

Co-authored-by: Leonard Lausen <lausen@amazon.com>
Co-authored-by: vexilligera <vexilligera@gmail.com>

* revise activations (apache#18700)

* [v1.6] Fix the monitor_callback invalid issue during calibration with variable input shapes (apache#18632) (apache#18703)

* Fix the monitor_callback invalid issue during calibration with variable input shapes

* retrigger CI

* Add UT for monitor check and disable codecov

Co-authored-by: Tao Lv <tao.a.lv@intel.com>

* Fail build_windows.py if all retries failed (apache#18177)

* Update to thrust 1.9.8 on Windows (apache#18218)

* Update to thrust 1.9.8 on Windows

* Remove debug logic

* Re-enable build retries on MSVC (apache#18230)

Updating thrust alone did not help. Similar issues (though less often) still
occur with updated thrust, and also with nvidia cub. Tracked upstream at
NVIDIA/thrust#1090

Co-authored-by: Ke Han <38852697+hanke580@users.noreply.github.com>
Co-authored-by: Xingjian Shi <xshiab@connect.ust.hk>
Co-authored-by: Hao Jin <hjjn.amzn@gmail.com>
Co-authored-by: Xi Wang <xidulu@gmail.com>
Co-authored-by: Yijun Chen <chenyijun0902@gmail.com>
Co-authored-by: vexilligera <vexilligera@gmail.com>
Co-authored-by: ciyong <ciyong.chen@intel.com>
Co-authored-by: Tao Lv <tao.a.lv@intel.com>
samskalicky added a commit that referenced this pull request Oct 3, 2020
* * Fix einsum gradient (#18482)

* [v1.7.x] Backport PRs of numpy features (#18653)

* add zero grad for npi_unique (#18080)

* fix np.clip scalar input case (#17788)

* fix true_divide (#18393)

Co-authored-by: Hao Jin <hjjn.amzn@gmail.com>
Co-authored-by: Xi Wang <xidulu@gmail.com>

* [v1.7.x] backport mixed type binary ops to v1.7.x (#18649)

* Fix Windows GPU CI (#17962)

Update Windows CI to use VS 2019 and enable x64 bit toolchain. Previously we are using an older 32 bit toolchain causing OOM errors during linking. Switching to x64 bit toolchain on the older VS version previously used by the CI was attempted in #17912 and did not work. Update to Cuda 10.2 as it is required by VS 2019. Switch to ninja-build on Windows to speed up build as ninja-build is now preinstalled. Remove logic to install cmake 3.16 on every PR as cmake 3.17 is now preinstalled. Add build retrials due to cuda thrust + VS2019 flakyness.

Co-authored-by: vexilligera <vexilligera@gmail.com>

* backport mixed type

Co-authored-by: Leonard Lausen <lausen@amazon.com>
Co-authored-by: vexilligera <vexilligera@gmail.com>

* revise activations (#18700)

* [v1.6] Fix the monitor_callback invalid issue during calibration with variable input shapes (#18632) (#18703)

* Fix the monitor_callback invalid issue during calibration with variable input shapes

* retrigger CI

* Add UT for monitor check and disable codecov

Co-authored-by: Tao Lv <tao.a.lv@intel.com>

* Fail build_windows.py if all retries failed (#18177)

* Update to thrust 1.9.8 on Windows (#18218)

* Update to thrust 1.9.8 on Windows

* Remove debug logic

* Re-enable build retries on MSVC (#18230)

Updating thrust alone did not help. Similar issues (though less often) still
occur with updated thrust, and also with nvidia cub. Tracked upstream at
NVIDIA/thrust#1090

Co-authored-by: Ke Han <38852697+hanke580@users.noreply.github.com>
Co-authored-by: Xingjian Shi <xshiab@connect.ust.hk>
Co-authored-by: Hao Jin <hjjn.amzn@gmail.com>
Co-authored-by: Xi Wang <xidulu@gmail.com>
Co-authored-by: Yijun Chen <chenyijun0902@gmail.com>
Co-authored-by: vexilligera <vexilligera@gmail.com>
Co-authored-by: ciyong <ciyong.chen@intel.com>
Co-authored-by: Tao Lv <tao.a.lv@intel.com>

Co-authored-by: Leonard Lausen <lausen@amazon.com>
Co-authored-by: Ke Han <38852697+hanke580@users.noreply.github.com>
Co-authored-by: Xingjian Shi <xshiab@connect.ust.hk>
Co-authored-by: Hao Jin <hjjn.amzn@gmail.com>
Co-authored-by: Xi Wang <xidulu@gmail.com>
Co-authored-by: Yijun Chen <chenyijun0902@gmail.com>
Co-authored-by: vexilligera <vexilligera@gmail.com>
Co-authored-by: ciyong <ciyong.chen@intel.com>
Co-authored-by: Tao Lv <tao.a.lv@intel.com>
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6 participants