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zhasheng pushed a commit to branch master
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new c1db2d5 Remove caffe plugin
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new c1db2d5 Remove caffe plugin
szha merged pull request #18787:
URL: https://github.com/apache/incubator-mxnet/pull/18787
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szha closed issue #18150:
URL: https://github.com/apache/incubator-mxnet/issues/18150
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szha commented on issue #18789:
URL:
https://github.com/apache/incubator-mxnet/issues/18789#issuecomment-663831981
I think the numpy array support in autograd.function was missed.
https://github.com/apache/incubator-mxnet/pull/18790
szha opened a new pull request #18790:
URL: https://github.com/apache/incubator-mxnet/pull/18790
## Description ##
add support for np.ndarray in autograd.function
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
- [x] Changes
mxnet-bot commented on pull request #18790:
URL: https://github.com/apache/incubator-mxnet/pull/18790#issuecomment-663831944
Hey @szha , Thanks for submitting the PR
All tests are already queued to run once. If tests fail, you can trigger one
or more tests again with the following
Hrushikesh-github opened a new issue #18791:
URL: https://github.com/apache/incubator-mxnet/issues/18791
## Description
Mxnet is giving the following error with a correct code.
This has been observer in the kaggle Notebook as well as Google Colab (!pip
install mxnet-cu101) was done.
szha commented on issue #18566:
URL:
https://github.com/apache/incubator-mxnet/issues/18566#issuecomment-663901184
deep numpy was a temporary code name. we cannot continue to use due to
trademark. please remove any reference of it and replace with simply "np".
szha commented on issue #18682:
URL:
https://github.com/apache/incubator-mxnet/issues/18682#issuecomment-663901026
@ys2843 @sandeep-krishnamurthy please treat this task as high priority. now
that we have a stable version as the default on the website, the website fixes
are not nearly as
andrei5055 opened a new pull request #18792:
URL: https://github.com/apache/incubator-mxnet/pull/18792
## Make TopK functions working with fp16 arguments ##
1. TopK functions (sort, argsort) can work with the fp16 tensors.
2. On GPU the switch from `cub::DeviceRadixSort` to
mxnet-bot commented on pull request #18792:
URL: https://github.com/apache/incubator-mxnet/pull/18792#issuecomment-663906264
Hey @andrei5055 , Thanks for submitting the PR
All tests are already queued to run once. If tests fail, you can trigger one
or more tests again with the
szha commented on a change in pull request #17298:
URL: https://github.com/apache/incubator-mxnet/pull/17298#discussion_r460480501
##
File path: python/mxnet/gluon/loss.py
##
@@ -930,3 +930,118 @@ def _cosine_similarity(self, F, x, y, axis=-1):
else:
szha commented on issue #18617:
URL:
https://github.com/apache/incubator-mxnet/issues/18617#issuecomment-663939057
The PR should be ready now.
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wuxun-zhang commented on pull request #18777:
URL: https://github.com/apache/incubator-mxnet/pull/18777#issuecomment-663926758
Thanks for the fix. Looks that master branch also needs this fix.
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szha commented on a change in pull request #18691:
URL: https://github.com/apache/incubator-mxnet/pull/18691#discussion_r460479156
##
File path: docs/python_docs/python/tutorials/packages/ndarray/index.rst
##
@@ -45,10 +45,16 @@ NDArray
For Sparse NDArray tutorials
szha commented on pull request #18792:
URL: https://github.com/apache/incubator-mxnet/pull/18792#issuecomment-663910295
lint needs fixing. you can test it locally with `ci/build.py -R
--docker-registry mxnetci --platform ubuntu_cpu --docker-build-retries 3
--shm-size 500m
szha commented on pull request #18570:
URL: https://github.com/apache/incubator-mxnet/pull/18570#issuecomment-663913384
@mxnet-bot run ci [all]
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mseth10 commented on pull request #18744:
URL: https://github.com/apache/incubator-mxnet/pull/18744#issuecomment-663914361
Here are the test results:
```
>>> pytest tests/nightly/test_large_array.py::test_linalg
mseth10 commented on a change in pull request #18744:
URL: https://github.com/apache/incubator-mxnet/pull/18744#discussion_r460454769
##
File path: tests/nightly/test_large_array.py
##
@@ -1168,6 +1169,76 @@ def check_correctness(mxnet_op, numpy_op, atol=1e-3):
mseth10 edited a comment on pull request #18744:
URL: https://github.com/apache/incubator-mxnet/pull/18744#issuecomment-663914361
All unit tests pass. Here are the results using pytest:
```
>>> pytest tests/nightly/test_large_array.py::test_linalg
mseth10 commented on pull request #18744:
URL: https://github.com/apache/incubator-mxnet/pull/18744#issuecomment-663914422
> Also I don't see a `out.backward()` invocation. How are the gradients been
tested? @mseth10
Added backward invocation @ChaiBapchya
saudet commented on issue #17783:
URL:
https://github.com/apache/incubator-mxnet/issues/17783#issuecomment-663916338
> @saudet Thanks for your proposal. I have four questions would like to ask
you:
>
> 1. If we adopt JavaCpp package, how will that be consumed? Under byteco or
access2rohit edited a comment on pull request #18744:
URL: https://github.com/apache/incubator-mxnet/pull/18744#issuecomment-663918134
I see missing shape checks, can you add them? ... rest LGTM!
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access2rohit commented on pull request #18744:
URL: https://github.com/apache/incubator-mxnet/pull/18744#issuecomment-663918134
I see missing shape checks ... rest LGTM!
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yajiedesign opened a new issue #18793:
URL: https://github.com/apache/incubator-mxnet/issues/18793
Prepare to deploy CD in docker like Linux.
Can docker be installed on the machine and start Windows container mode?
leonard
@leezu
@szha
ChaiBapchya commented on pull request #18785:
URL: https://github.com/apache/incubator-mxnet/pull/18785#issuecomment-663923298
@mxnet-bot run ci [unix-gpu]
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szha commented on issue #17988:
URL:
https://github.com/apache/incubator-mxnet/issues/17988#issuecomment-663913199
this is due to a shared buffer bug that #18219 addresses. it affects only
v1.x
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szha closed pull request #18219:
URL: https://github.com/apache/incubator-mxnet/pull/18219
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szha commented on pull request #18629:
URL: https://github.com/apache/incubator-mxnet/pull/18629#issuecomment-663913289
What's the status for this?
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liuyizhi pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/master by this push:
new 98b3f73 add support for np.ndarray
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liuyizhi pushed a commit to branch master
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new 98b3f73 add support for np.ndarray
yzhliu merged pull request #18790:
URL: https://github.com/apache/incubator-mxnet/pull/18790
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saudet commented on issue #17783:
URL:
https://github.com/apache/incubator-mxnet/issues/17783#issuecomment-663921595
> ## What's missing
>
> javacpp-presets-mxnet doesn't expose APIs form nnvm/c_api.h (some of
current python/gluon API depends on APIs in nnvm/c_api.h)
I've
saudet edited a comment on issue #17783:
URL:
https://github.com/apache/incubator-mxnet/issues/17783#issuecomment-663916338
> @saudet Thanks for your proposal. I have four questions would like to ask
you:
>
> 1. If we adopt JavaCpp package, how will that be consumed? Under byteco
ChaiBapchya commented on pull request #18715:
URL: https://github.com/apache/incubator-mxnet/pull/18715#issuecomment-663923710
@mxnet-bot run ci [sanity]
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mxnet-bot commented on pull request #18715:
URL: https://github.com/apache/incubator-mxnet/pull/18715#issuecomment-663923713
Jenkins CI successfully triggered : [sanity]
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