TaoLv opened a new pull request #16899: [WIP] Enable MKL-DNN in pip packages
URL: https://github.com/apache/incubator-mxnet/pull/16899
## Description ##
Discussion:
https://lists.apache.org/thread.html/1a22dbd79098adab6d02d16e8d607bae2acc908c0bb1b085d28a51ba@%3Cdev.mxnet.apache.org%3E
ChaiBapchya commented on issue #16600: Clojure test failure: Could not transfer
artifact com.fasterxml.jackson.core
URL:
https://github.com/apache/incubator-mxnet/issues/16600#issuecomment-558024159
Similar one here for slingshot (clojure jar) for unrelated PR -
https://github.com/apache/
ChaiBapchya commented on a change in pull request #16894: Adding user
guidelines for using MXNet built with Large Tensor Support
URL: https://github.com/apache/incubator-mxnet/pull/16894#discussion_r350018612
##
File path: docs/static_site/src/pages/api/faq/large_tensor_support.md
ChaiBapchya opened a new pull request #16898: [WIP] Sparse int64 Large tensor
support
URL: https://github.com/apache/incubator-mxnet/pull/16898
## Description ##
Adds support to Sparse tensor creation
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable
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aaronmarkham pushed a commit to branch asf-site
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TaoLv closed pull request #16679: [mkldnn-v1.0][Don't Merge]to fix cpp test
fail:IMPERATIVE.FullyConnectedOp
URL: https://github.com/apache/incubator-mxnet/pull/16679
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TaoLv commented on issue #16679: [mkldnn-v1.0][Don't Merge]to fix cpp test
fail:IMPERATIVE.FullyConnectedOp
URL: https://github.com/apache/incubator-mxnet/pull/16679#issuecomment-558011023
`mkldnn-v1.0` branch has been merged into master. Please move to master
branch for further developmen
knjwhn edited a comment on issue #16749: Ask for advice about using my int8gemm
URL:
https://github.com/apache/incubator-mxnet/issues/16749#issuecomment-558002487
> Are you running experiments or targeting for upstreaming in the future? If
just experiments, I think you can directly replac
knjwhn edited a comment on issue #16749: Ask for advice about using my int8gemm
URL:
https://github.com/apache/incubator-mxnet/issues/16749#issuecomment-558002487
> Are you running experiments or targeting for upstreaming in the future? If
just experiments, I think you can directly replac
knjwhn edited a comment on issue #16749: Ask for advice about using my int8gemm
URL:
https://github.com/apache/incubator-mxnet/issues/16749#issuecomment-558002487
> Are you running experiments or targeting for upstreaming in the future? If
just experiments, I think you can directly replac
knjwhn commented on issue #16749: Ask for advice about using my int8gemm
URL:
https://github.com/apache/incubator-mxnet/issues/16749#issuecomment-558002487
> Are you running experiments or targeting for upstreaming in the future? If
just experiments, I think you can directly replace the `
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from 11edb70 [Numpy] Add NumPy support for np.linalg.det and
np.linalg.slogdet (#16800)
add 9b49cfe tr
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from 11edb70 [Numpy] Add NumPy support for np.linalg.det and
np.linalg.slogdet (#16800)
add 9b49cfe tr
reminisce merged pull request #16897: [Numpy Extension] Move shape_array to npx
URL: https://github.com/apache/incubator-mxnet/pull/16897
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leezu commented on issue #16888: Add evaluation_loss to the estimator base
class.
URL: https://github.com/apache/incubator-mxnet/pull/16888#issuecomment-557998537
Could you also add a test case to
https://github.com/apache/incubator-mxnet/blob/master/tests/python/unittest/test_gluon_estima
aaronmarkham commented on a change in pull request #16894: Adding user
guidelines for using MXNet built with Large Tensor Support
URL: https://github.com/apache/incubator-mxnet/pull/16894#discussion_r349994954
##
File path: docs/static_site/src/pages/api/faq/large_tensor_support.md
liuzh91 commented on a change in pull request #16888: Add evaluation_loss to
the estimator base class.
URL: https://github.com/apache/incubator-mxnet/pull/16888#discussion_r349980329
##
File path: python/mxnet/gluon/contrib/estimator/estimator.py
##
@@ -64,13 +64,17 @@ def
leezu commented on a change in pull request #16888: Add evaluation_loss to the
estimator base class.
URL: https://github.com/apache/incubator-mxnet/pull/16888#discussion_r349979434
##
File path: python/mxnet/gluon/contrib/estimator/estimator.py
##
@@ -64,13 +64,17 @@ def _
liuzh91 commented on a change in pull request #16888: Add evaluation_loss to
the estimator base class.
URL: https://github.com/apache/incubator-mxnet/pull/16888#discussion_r349978294
##
File path: python/mxnet/gluon/contrib/estimator/estimator.py
##
@@ -64,13 +64,17 @@ def
zburning removed a comment on issue #16880: Better to flatten the label array
in metric.F1()
URL:
https://github.com/apache/incubator-mxnet/issues/16880#issuecomment-557964023
@sxjscience Sorry I didn't make it clear. An example script is:
```
import mxnet as mx
pred = mx.nd.a
zburning commented on issue #16880: Better to flatten the label array in
metric.F1()
URL:
https://github.com/apache/incubator-mxnet/issues/16880#issuecomment-557964023
@sxjscience Sorry I didn't make it clear. An example script is:
```
import mxnet as mx
pred = mx.nd.array([[-
zburning commented on issue #16880: Better to flatten the label array in
metric.F1()
URL:
https://github.com/apache/incubator-mxnet/issues/16880#issuecomment-557963693
@sxjscience Sorry I didn't make it clear. An example script is:
```
import mxnet as mx
pred = mx.nd.array([[-
access2rohit commented on issue #16894: Adding user guidelines for using MXNet
built with Large Tensor Support
URL: https://github.com/apache/incubator-mxnet/pull/16894#issuecomment-557954728
@aaronmarkham PR is ready for review
access2rohit commented on a change in pull request #16894: Adding user
guidelines for using MXNet built with Large Tensor Support
URL: https://github.com/apache/incubator-mxnet/pull/16894#discussion_r349965361
##
File path: docs/static_site/src/pages/api/faq/large_tensor_support.md
access2rohit commented on a change in pull request #16894: Adding user
guidelines for using MXNet built with Large Tensor Support
URL: https://github.com/apache/incubator-mxnet/pull/16894#discussion_r349965175
##
File path: docs/static_site/src/pages/api/faq/large_tensor_support.md
access2rohit commented on issue #16894: Adding user guidelines for using MXNet
built with Large Tensor Support
URL: https://github.com/apache/incubator-mxnet/pull/16894#issuecomment-557953625
@mxnet-label-bot add [pr-awaiting-review]
access2rohit commented on issue #16885: Multi Precision Lamb Update operator
URL: https://github.com/apache/incubator-mxnet/pull/16885#issuecomment-557950273
@eric-haibin-lin PR is ready for review
This is an automated messag
access2rohit commented on issue #16885: Multi Precision Lamb Update operator
URL: https://github.com/apache/incubator-mxnet/pull/16885#issuecomment-557949156
@mxnet-label-bot add [pr-awaiting-review]
This is an automated messa
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aaronmarkham pushed a commit to branch asf-site
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sxjscience opened a new pull request #16897: [Numpy Extension] Move shape_array
to npx
URL: https://github.com/apache/incubator-mxnet/pull/16897
## Description ##
Move shape_array to npx to facilitate the numpy version of transformer.
## Checklist ##
### Essentials ###
Pleas
sxjscience commented on issue #16880: Better to flatten the label array in
metric.F1()
URL:
https://github.com/apache/incubator-mxnet/issues/16880#issuecomment-557936969
@zburning Also, would you provided an example of this issue that was labeled
as bug? This helps us understand the probl
marcoabreu commented on a change in pull request #16894: [WIP]Adding user
guidelines for using MXNet built with Large Tensor Support
URL: https://github.com/apache/incubator-mxnet/pull/16894#discussion_r349951042
##
File path: docs/static_site/src/pages/api/faq/large_tensor_support.
marcoabreu commented on a change in pull request #16894: [WIP]Adding user
guidelines for using MXNet built with Large Tensor Support
URL: https://github.com/apache/incubator-mxnet/pull/16894#discussion_r349950955
##
File path: docs/static_site/src/pages/api/faq/large_tensor_support.
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from 85d3ef3 Lamb optimizer update (#16715)
add 11edb70 [Numpy] Add NumPy support for np.linalg.det and
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from 85d3ef3 Lamb optimizer update (#16715)
add 11edb70 [Numpy] Add NumPy support for np.linalg.det and
reminisce merged pull request #16800: [Numpy] Add NumPy support for
np.linalg.det and np.linalg.slogdet
URL: https://github.com/apache/incubator-mxnet/pull/16800
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sxjscience commented on a change in pull request #16715: Lamb optimizer update
URL: https://github.com/apache/incubator-mxnet/pull/16715#discussion_r349947004
##
File path: src/operator/optimizer_op-inl.h
##
@@ -1563,6 +1563,192 @@ inline void AdamUpdateEx(const nnvm::NodeA
sxjscience commented on a change in pull request #16715: Lamb optimizer update
URL: https://github.com/apache/incubator-mxnet/pull/16715#discussion_r349945634
##
File path: src/operator/optimizer_op-inl.h
##
@@ -1563,6 +1563,192 @@ inline void AdamUpdateEx(const nnvm::NodeA
artor1os opened a new pull request #16896: [Numpy] Implement numpy operator
'quantile'
URL: https://github.com/apache/incubator-mxnet/pull/16896
## Description ##
Implement numpy operator 'quantile'
https://numpy.org/devdocs/reference/generated/numpy.quantile.html
## Checkl
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aaronmarkham pushed a commit to branch asf-site
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new c457186 Bump the publis
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leezu closed issue #16848: Flaky test_np_mixed_precision_binary_funcs
URL: https://github.com/apache/incubator-mxnet/issues/16848
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sxjscience commented on issue #16279: [Bug] Inconsistency between HybridBlock
and Block
URL:
https://github.com/apache/incubator-mxnet/issues/16279#issuecomment-557869057
This will be solved once
https://github.com/apache/incubator-mxnet/pull/16621 is merged. We have the
following exampl
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