Implementation and operator test for Wngrad optimizer #8999
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Contributor
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What's the difference between this and #9001? |
Contributor
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@JianGoForIt has this replaced by #9001? |
Author
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Yes. It is replaced by 9001. Thanks
…On Tue, Jul 10, 2018, 9:48 AM Wei Yang ***@***.***> wrote:
@JianGoForIt <https://github.com/JianGoForIt> has this replaced by #9001
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Summary: Pull Request resolved: pytorch#8999 Closes pytorch#8999 Implemented the WRgrad optimizer operator for dense (base case as well as the case with additional output for effective learning rate and update value) and sparse case. Differential Revision: D8627933 fbshipit-source-id: 9f265dc815f650393f8332a881dd0f2b2a7b96cd
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petrex
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Jul 16, 2018
* upstream/master: (24 commits) Implement tensor weak references (pytorch#9363) Nuke TestCollectEnv (pytorch#9459) Add test case for segmentation fault fix in grad_fn (pytorch#9457) Add peephole optimization for type_as operators. (pytorch#9316) Fix out-of-range error for test_neg (pytorch#9431) add depthwise conv support for mkldnn (pytorch#8782) Refactor `_log_sum_exp` (pytorch#9173) Add ModuleDict and ParameterDict containers (pytorch#8463) Introduce SupervisedPtr, delete THAllocator and THCDeviceAllocator (pytorch#9358) Introducing IsInf (pytorch#9169) add device to CUDAEvent (pytorch#9415) Make localScalar error message more intuitive (pytorch#9443) Only accept continguous tensors in TopK for cuda (pytorch#9441) Add support for .norm() pytorch onnx export and ReduceL1/ReduceL2 caffe2 operators (pytorch#9299) Only view() rhs of index_put if we need to (pytorch#9424) Add BatchBucketizeOp in caffe2 (pytorch#9385) Implementation of Wngrad optimizer caffe2 python wrapper and unit test on least square regression (pytorch#9001) Implementation and operator test for Wngrad optimizer (pytorch#8999) Fix segmentation fault in grad_fn (pytorch#9292) update docs (pytorch#9423) ...
goldsborough
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Jul 20, 2018
Summary: Pull Request resolved: pytorch#8999 Closes pytorch#8999 Implemented the WRgrad optimizer operator for dense (base case as well as the case with additional output for effective learning rate and update value) and sparse case. Reviewed By: pjh5 Differential Revision: D8627933 fbshipit-source-id: a63cde46c04bcc6b428ab5f77a4b3b2beb66c046
jramseyer
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Jul 30, 2018
Summary: Pull Request resolved: pytorch#8999 Closes pytorch#8999 Implemented the WRgrad optimizer operator for dense (base case as well as the case with additional output for effective learning rate and update value) and sparse case. Reviewed By: pjh5 Differential Revision: D8627933 fbshipit-source-id: a63cde46c04bcc6b428ab5f77a4b3b2beb66c046
goodlux
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Aug 15, 2018
Summary: Pull Request resolved: pytorch#8999 Closes pytorch#8999 Implemented the WRgrad optimizer operator for dense (base case as well as the case with additional output for effective learning rate and update value) and sparse case. Reviewed By: pjh5 Differential Revision: D8627933 fbshipit-source-id: a63cde46c04bcc6b428ab5f77a4b3b2beb66c046
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Summary: Implemented the WRgrad optimizer operator for dense (base case as well as the case with additional output for effective learning rate and update value) and sparse case.
Differential Revision: D8627933