reminisce commented on issue #16910: Scalar ndarray does not support
exponentiation
URL:
https://github.com/apache/incubator-mxnet/issues/16910#issuecomment-558502561
Please note that scalar tensors are only formally supported in `mxnet.numpy`
module. Many operators in `mx.nd` do not
szhengac opened a new issue #16910: Scalar ndarray does not support
exponentiation
URL: https://github.com/apache/incubator-mxnet/issues/16910
## Description
the following codes produce error:
```
a = mx.nd.array(2)
b = 2**a
```
or
```
a = mx.nd.array(2)
haojin2 commented on issue #16907: Revert "Mkldnn fullyConnect bwd bug fix
(#16890)"
URL: https://github.com/apache/incubator-mxnet/pull/16907#issuecomment-558489644
@TaoLv Can you re-trigger your CI?
This is an automated
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The following commit(s) were added to refs/heads/asf-site by this push:
new a38d892 Bump the
wkcn commented on issue #16909: Build with cv 4.0
URL: https://github.com/apache/incubator-mxnet/pull/16909#issuecomment-558473934
Thank you for the contribution!
We need the compatibility with the lower version of OpenCV.
Could you please define some macros in
ewail opened a new pull request #16909: Build with cv 4.0
URL: https://github.com/apache/incubator-mxnet/pull/16909
## Description ##
Build with cv 4.0
### Changes ###
Change CV_IMWRITE_PNG_COMPRESSION to cv::IMWRITE_PNG_COMPRESSION
Change CV_IMWRITE_JPEG_QUALITY to
hgt312 commented on a change in pull request #16804: add numpy op full_like,
c++ impl, fix zeros_like, ones_like type infe…
URL: https://github.com/apache/incubator-mxnet/pull/16804#discussion_r350543199
##
File path: python/mxnet/numpy_dispatch_protocol.py
##
@@ -233,7
sxjscience opened a new pull request #16908: Try to fix CI
URL: https://github.com/apache/incubator-mxnet/pull/16908
## Description ##
It looks that this issue
https://github.com/apache/incubator-mxnet/issues/16815 is blocking the CI.
## Checklist ##
### Essentials ###
leezu commented on issue #16878: add micro to pearsonr
URL: https://github.com/apache/incubator-mxnet/pull/16878#issuecomment-558454977
@ptrendx this change may be good to include to 1.6. Do you have any
concerns?
This is
hgt312 commented on a change in pull request #16870: [numpy] add logical op
URL: https://github.com/apache/incubator-mxnet/pull/16870#discussion_r350537422
##
File path: contrib/tvmop/core/umath.py
##
@@ -25,6 +25,9 @@
'less': lambda a, b, *idx: a[idx] < b[idx],
hgt312 commented on a change in pull request #16870: [numpy] add logical op
URL: https://github.com/apache/incubator-mxnet/pull/16870#discussion_r350537458
##
File path: contrib/tvmop/core/umath.py
##
@@ -87,6 +90,9 @@ def _binary_logic_gpu(compute_func, op, itype, ndim):
liuzh91 commented on a change in pull request #16900: introduce gradient
update handler to the base estimator
URL: https://github.com/apache/incubator-mxnet/pull/16900#discussion_r350527461
##
File path: python/mxnet/gluon/contrib/estimator/estimator.py
##
@@ -295,13
leezu edited a comment on issue #16900: introduce gradient update handler to
the base estimator
URL: https://github.com/apache/incubator-mxnet/pull/16900#issuecomment-558438234
@ptrendx the estimator API is currently experimental and is not yet up to
more complex real-world use-cases.
leezu commented on issue #16900: introduce gradient update handler to the
base estimator
URL: https://github.com/apache/incubator-mxnet/pull/16900#issuecomment-558438234
@ptrendx the estimator API is currently experimental and is not yet up to
more complex real-world use-cases. @liuzh91
liuzh91 commented on a change in pull request #16900: introduce gradient
update handler to the base estimator
URL: https://github.com/apache/incubator-mxnet/pull/16900#discussion_r350519861
##
File path: tests/python/unittest/test_gluon_estimator.py
##
@@ -332,39
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_r350515976
##
File path: docs/static_site/src/pages/api/faq/large_tensor_support.md
haojin2 commented on issue #16443: [CI failure] test_np_linalg_slogdet on
windows-cpu
URL:
https://github.com/apache/incubator-mxnet/issues/16443#issuecomment-558424944
Fixed by #16800 by @vexilligera, closing
This is an
haojin2 closed issue #16443: [CI failure] test_np_linalg_slogdet on windows-cpu
URL: https://github.com/apache/incubator-mxnet/issues/16443
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hubutui commented on issue #16852: Could not build with CUDA_ARCH_LIST=Common
URL:
https://github.com/apache/incubator-mxnet/issues/16852#issuecomment-558420417
I also check https://github.com/apache/incubator-mxnet/pull/15981, but it
seems it's not fixed yet. According to
sxjscience commented on a change in pull request #16621: [Numpy] Basic indexing
in symbolic interface of DeepNumpy
URL: https://github.com/apache/incubator-mxnet/pull/16621#discussion_r350507123
##
File path: python/mxnet/symbol/numpy/_symbol.py
##
@@ -855,6 +972,51 @@
sxjscience commented on a change in pull request #16621: [Numpy] Basic indexing
in symbolic interface of DeepNumpy
URL: https://github.com/apache/incubator-mxnet/pull/16621#discussion_r350507174
##
File path: python/mxnet/symbol/numpy/_symbol.py
##
@@ -855,6 +972,51 @@
sxjscience commented on a change in pull request #16621: [Numpy] Basic indexing
in symbolic interface of DeepNumpy
URL: https://github.com/apache/incubator-mxnet/pull/16621#discussion_r350506519
##
File path: python/mxnet/ndarray/ndarray.py
##
@@ -3125,6 +3128,26 @@ def
TaoLv commented on issue #16895: Fix ndarray indexing bug
URL: https://github.com/apache/incubator-mxnet/pull/16895#issuecomment-558415905
@reminisce I have created a PR to revert the problematic commit. Sorry for
the inconvenience.
TaoLv commented on issue #16890: Mkldnn fullyConnect bwd bug fix
URL: https://github.com/apache/incubator-mxnet/pull/16890#issuecomment-558415536
I'm going to revert this PR as it causes flaky issue reported here:
https://github.com/apache/incubator-mxnet/pull/16895#issuecomment-558391834.
TaoLv opened a new pull request #16907: Revert "Mkldnn fullyConnect bwd bug fix
(#16890)"
URL: https://github.com/apache/incubator-mxnet/pull/16907
This reverts commit 436967bee9e3e3844486fd872b0065902d4324dd.
Flaky issue reported here:
sxjscience commented on a change in pull request #16621: [Numpy] Basic indexing
in symbolic interface of DeepNumpy
URL: https://github.com/apache/incubator-mxnet/pull/16621#discussion_r350500857
##
File path: python/mxnet/symbol/numpy/_symbol.py
##
@@ -4957,4 +5119,62 @@
access2rohit commented on issue #16906: Bumping MXNet version to 1.6.0 in
base.h for C APIs
URL: https://github.com/apache/incubator-mxnet/pull/16906#issuecomment-558410115
@lanking520 @ptrendx
This is an automated message
access2rohit opened a new pull request #16906: Bumping MXNet version to 1.6.0
in base.h for C APIs
URL: https://github.com/apache/incubator-mxnet/pull/16906
## Description ##
Bumping MXNet version to 1.6.0 in base.h for C APIs
## Checklist ##
### Essentials ###
Please feel
access2rohit commented on issue #16905: updating MXNet version to 1.6.0 in
base.h for C APIs
URL: https://github.com/apache/incubator-mxnet/pull/16905#issuecomment-558408444
> This is a key problem with the publish, we should bump it once we make the
release
yes
access2rohit commented on issue #16905: updating MXNet version to 1.6.0 in
base.h for C APIs
URL: https://github.com/apache/incubator-mxnet/pull/16905#issuecomment-558408469
@ptrendx
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access2rohit commented on issue #16905: updating MXNet version to 1.6.0 in
base.h for C APIs
URL: https://github.com/apache/incubator-mxnet/pull/16905#issuecomment-558408232
@lanking520
This is an automated message from the
access2rohit opened a new pull request #16905: updating MXNet version to 1.6.0
in base.h for C APIs
URL: https://github.com/apache/incubator-mxnet/pull/16905
## Description ##
updating MXNet version to 1.6.0 in base.h for C APIs
https://github.com/apache/incubator-mxnet/issues/16904
wkcn commented on issue #15516: Fix memory leak reported by ASAN in NNVM to
ONNX conversion
URL: https://github.com/apache/incubator-mxnet/pull/15516#issuecomment-558407580
Hi, I update this code to use `T[]` as the template type of `shared_ptr`.
Thank @kevinzh92 for pointing out
samskalicky commented on issue #16904: Upgrade MXNet version to 1.6.0
URL:
https://github.com/apache/incubator-mxnet/issues/16904#issuecomment-558406297
@mxnet-label-bot add [R1.6.0]
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samskalicky opened a new issue #16904: Upgrade MXNet version to 1.6.0
URL: https://github.com/apache/incubator-mxnet/issues/16904
Need to uprev to 1.6 here:
https://github.com/apache/incubator-mxnet/blob/v1.6.x/include/mxnet/base.h#L76
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The following commit(s) were added to refs/heads/asf-site by this push:
new a5ab2f6 Bump the
roywei commented on a change in pull request #16900: introduce gradient update
handler to the base estimator
URL: https://github.com/apache/incubator-mxnet/pull/16900#discussion_r350488360
##
File path: tests/python/unittest/test_gluon_estimator.py
##
@@ -332,39 +332,41
roywei commented on a change in pull request #16900: introduce gradient update
handler to the base estimator
URL: https://github.com/apache/incubator-mxnet/pull/16900#discussion_r350470977
##
File path: python/mxnet/gluon/contrib/estimator/estimator.py
##
@@ -295,13
apeforest commented on a change in pull request #16903: changing data type of
't' to int in lamb_update_phase1
URL: https://github.com/apache/incubator-mxnet/pull/16903#discussion_r350480484
##
File path: src/operator/optimizer_op-inl.h
##
@@ -1639,8 +1639,8 @@ struct
reminisce commented on issue #16895: Fix ndarray indexing bug
URL: https://github.com/apache/incubator-mxnet/pull/16895#issuecomment-558391834
@PatricZhao @TaoLv MKLDNN CPP test keeps failing on `FullyConnectedOp` in
this PR. Could you guys help to take a look? Thanks.
reminisce commented on a change in pull request #16621: [Numpy] Basic indexing
in symbolic interface of DeepNumpy
URL: https://github.com/apache/incubator-mxnet/pull/16621#discussion_r350463623
##
File path: python/mxnet/symbol/numpy/_symbol.py
##
@@ -43,31 +50,131 @@
reminisce commented on a change in pull request #16621: [Numpy] Basic indexing
in symbolic interface of DeepNumpy
URL: https://github.com/apache/incubator-mxnet/pull/16621#discussion_r350470836
##
File path: python/mxnet/symbol/numpy/_symbol.py
##
@@ -4957,4 +5119,62 @@
reminisce commented on a change in pull request #16621: [Numpy] Basic indexing
in symbolic interface of DeepNumpy
URL: https://github.com/apache/incubator-mxnet/pull/16621#discussion_r350469321
##
File path: python/mxnet/symbol/numpy/_symbol.py
##
@@ -855,6 +972,51 @@ def
reminisce commented on a change in pull request #16621: [Numpy] Basic indexing
in symbolic interface of DeepNumpy
URL: https://github.com/apache/incubator-mxnet/pull/16621#discussion_r350468055
##
File path: python/mxnet/ndarray/ndarray.py
##
@@ -3125,6 +3128,26 @@ def
reminisce commented on a change in pull request #16621: [Numpy] Basic indexing
in symbolic interface of DeepNumpy
URL: https://github.com/apache/incubator-mxnet/pull/16621#discussion_r350470620
##
File path: python/mxnet/symbol/numpy/_symbol.py
##
@@ -4957,4 +5119,62 @@
reminisce commented on a change in pull request #16621: [Numpy] Basic indexing
in symbolic interface of DeepNumpy
URL: https://github.com/apache/incubator-mxnet/pull/16621#discussion_r350468294
##
File path: python/mxnet/ndarray/numpy/_op.py
##
@@ -2774,10 +2773,10 @@ def
reminisce commented on a change in pull request #16621: [Numpy] Basic indexing
in symbolic interface of DeepNumpy
URL: https://github.com/apache/incubator-mxnet/pull/16621#discussion_r350469601
##
File path: python/mxnet/symbol/numpy/_symbol.py
##
@@ -855,6 +972,51 @@ def
haojin2 commented on issue #16413: Numpy log is flodding CI output
URL:
https://github.com/apache/incubator-mxnet/issues/16413#issuecomment-558388036
Solved via #16849, closing now.
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haojin2 closed issue #16413: Numpy log is flodding CI output
URL: https://github.com/apache/incubator-mxnet/issues/16413
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wkcn commented on a change in pull request #15686: Fix the problem in printing
feature in c++ API examples : feature_extract
URL: https://github.com/apache/incubator-mxnet/pull/15686#discussion_r308541801
##
File path: cpp-package/example/feature_extract/feature_extract.cpp
wkcn edited a comment on issue #15283: mxnet.ndarray.contrib.boolean_mask
running on gpu arrays randomly throws an CUDA illegal memory accessed error
URL:
https://github.com/apache/incubator-mxnet/issues/15283#issuecomment-558377884
There was a bug in boolean_mask of MXNet 1.5.
wkcn edited a comment on issue #15283: mxnet.ndarray.contrib.boolean_mask
running on gpu arrays randomly throws an CUDA illegal memory accessed error
URL:
https://github.com/apache/incubator-mxnet/issues/15283#issuecomment-558377884
There was a bug in boolean_mask of MXNet 1.5.
Could
wkcn edited a comment on issue #15283: mxnet.ndarray.contrib.boolean_mask
running on gpu arrays randomly throws an CUDA illegal memory accessed error
URL:
https://github.com/apache/incubator-mxnet/issues/15283#issuecomment-558377884
There was a bug in boolean_mask of MXNet 1.5.
Could
wkcn commented on issue #15283: mxnet.ndarray.contrib.boolean_mask running on
gpu arrays randomly throws an CUDA illegal memory accessed error
URL:
https://github.com/apache/incubator-mxnet/issues/15283#issuecomment-558377884
There was a bug in boolean_mask of MXNet 1.5.
Could you
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haoj pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 6bff547 Add evaluation_loss to the estimator base class. (#16888)
add f11592d Op Unravel_index PR
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haoj pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 6bff547 Add evaluation_loss to the estimator base class. (#16888)
add f11592d Op Unravel_index PR
haojin2 merged pull request #16862: Op Unravel_index PR [Numpy]
URL: https://github.com/apache/incubator-mxnet/pull/16862
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Jerryzcn commented on issue #15283: mxnet.ndarray.contrib.boolean_mask running
on gpu arrays randomly throws an CUDA illegal memory accessed error
URL:
https://github.com/apache/incubator-mxnet/issues/15283#issuecomment-558347457
hey could u provide the code to reproduce it?
access2rohit commented on issue #16903: changing data type of 't' to int in
lamb_update_phase1
URL: https://github.com/apache/incubator-mxnet/pull/16903#issuecomment-558346117
@sxjscience @eric-haibin-lin PR is ready for review
access2rohit opened a new pull request #16903: changing data type of 't' to int
in lamb_update_phase1
URL: https://github.com/apache/incubator-mxnet/pull/16903
## Description ##
Fixing data type of `t` in lamb_update_phase1
## Checklist ##
### Essentials ###
Please feel
access2rohit commented on issue #16903: changing data type of 't' to int in
lamb_update_phase1
URL: https://github.com/apache/incubator-mxnet/pull/16903#issuecomment-558346026
@mxnet-label-bot add [pr-awaiting-review]
This
jonatan1626 closed issue #16845: MXNet 1.6.0 performance regression
URL: https://github.com/apache/incubator-mxnet/issues/16845
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Jerryzcn commented on issue #16656: When I use different size inference,
self.reshape() Error in `/usr/bin/python': free(): invalid pointer:
0x7f9a484890a0
URL:
https://github.com/apache/incubator-mxnet/issues/16656#issuecomment-558344688
Could u provide the code u are using?
mikeobr commented on issue #16173: Saving and loading cudNN autotune and graph
optimization
URL:
https://github.com/apache/incubator-mxnet/issues/16173#issuecomment-558341889
This feature would be very useful for us.
We deploy our models via MXNet Model Server:
zachgk commented on issue #16858: Cannot load trainer with AMP
URL:
https://github.com/apache/incubator-mxnet/issues/16858#issuecomment-558332650
@access2rohit Please comment if you want this issue
This is an automated
sxjscience commented on issue #16902: [Numpy] Fix imperative basic indexing in
numpy
URL: https://github.com/apache/incubator-mxnet/pull/16902#issuecomment-558320881
@ptrendx @reminisce I've split the bugfix in this PR.
This
sxjscience opened a new pull request #16902: [Numpy] Fix imperative basic
indexing in numpy
URL: https://github.com/apache/incubator-mxnet/pull/16902
## Description ##
Fix https://github.com/apache/incubator-mxnet/issues/16279
## Checklist ##
### Essentials ###
Please feel
TEChopra1000 commented on issue #16802: Python API Links broken
URL:
https://github.com/apache/incubator-mxnet/issues/16802#issuecomment-558317716
I will make the correction.
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samskalicky commented on issue #16453: [website] Mxnet official website menu
bar background invalid
URL:
https://github.com/apache/incubator-mxnet/issues/16453#issuecomment-558317024
@zachgk assign [@aaronmarkham ]
This is
samskalicky commented on issue #16456: can't install any R package
URL:
https://github.com/apache/incubator-mxnet/issues/16456#issuecomment-558316845
@zachgk assign [@anirudhacharya ]
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larroy 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-558316697
ok
This is an automated
samskalicky commented on issue #16471: CMake build with MKL_USE_ILP64 throws
type mismatch
URL:
https://github.com/apache/incubator-mxnet/issues/16471#issuecomment-558316287
@matteosal Can you try with the USE_INT64_TENSOR_SIZE flag?
samskalicky commented on issue #16485: cudnn_convolution-inl.h:160: Check
failed: e == CUDNN_STATUS_SUCCESS (8 vs. 0) : cuDNN:
CUDNN_STATUS_EXECUTION_FAILED
URL:
https://github.com/apache/incubator-mxnet/issues/16485#issuecomment-558315671
@olojuwin as requested by @szha please try CUDA
TEChopra1000 commented on issue #16633: Python Symbol Package Docs Missing
URL:
https://github.com/apache/incubator-mxnet/issues/16633#issuecomment-558315239
I will take out reference to the Symbol tutorials in the docs.
oorqueda commented on issue #16590: import_onnx.py parser for onnx opset >= 9
has bug
URL:
https://github.com/apache/incubator-mxnet/issues/16590#issuecomment-558315295
Please assign it to me until I find an owner
This is
samskalicky commented on issue #16656: When I use different size inference,
self.reshape() Error in `/usr/bin/python': free(): invalid pointer:
0x7f9a484890a0
URL:
https://github.com/apache/incubator-mxnet/issues/16656#issuecomment-558313785
@IMJerryChen ping
samskalicky commented on issue #16851: broadcast_like requires inputs to have
same dtype
URL:
https://github.com/apache/incubator-mxnet/issues/16851#issuecomment-558312741
Since this issue has 2 parts:
- Should not assert, should throw an error/exception instead
- broadcast_like
samskalicky commented on issue #16852: Could not build with
CUDA_ARCH_LIST=Common
URL:
https://github.com/apache/incubator-mxnet/issues/16852#issuecomment-558310387
@mxnet-label-bot update [Question, Build]
This is an
samskalicky commented on issue #16858: Cannot load trainer with AMP
URL:
https://github.com/apache/incubator-mxnet/issues/16858#issuecomment-558309794
@zachgk assign [@access2rohit ]
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samskalicky commented on issue #16880: Better to flatten the label array in
metric.F1()
URL:
https://github.com/apache/incubator-mxnet/issues/16880#issuecomment-558309338
@zachgk assign [@mli ]
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samskalicky commented on issue #16891: Upgrading MKLDNN to 1.0 causes
performance regression.
URL:
https://github.com/apache/incubator-mxnet/issues/16891#issuecomment-558308299
@zachgk assign [@apeforest ]
This is an
access2rohit commented on a change in pull request #16715: Lamb optimizer update
URL: https://github.com/apache/incubator-mxnet/pull/16715#discussion_r350381992
##
File path: src/operator/optimizer_op-inl.h
##
@@ -1563,6 +1563,192 @@ inline void AdamUpdateEx(const
sxjscience commented on issue #16621: [Numpy] Basic indexing in symbolic
interface of DeepNumpy
URL: https://github.com/apache/incubator-mxnet/pull/16621#issuecomment-558303574
@ptrendx After a second thought, I think it would be better to fix the bug
first. Let me extract part of this PR
reminisce commented on issue #16895: Fix ndarray indexing bug
URL: https://github.com/apache/incubator-mxnet/pull/16895#issuecomment-558300860
@ptrendx Thanks for the review. I added similar test case in
test_numpy_ndarray.py, but I have also included the cases from #16647 in
reminisce commented on a change in pull request #16895: Fix ndarray indexing bug
URL: https://github.com/apache/incubator-mxnet/pull/16895#discussion_r350371535
##
File path: src/ndarray/ndarray.cc
##
@@ -243,8 +243,14 @@ NDArray NDArray::MKLDNNDataReshape(const
zachgk closed issue #16765: FusedOp Failing Static Linked Build
URL: https://github.com/apache/incubator-mxnet/issues/16765
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ptrendx commented on issue #16845: MXNet 1.6.0 performance regression
URL:
https://github.com/apache/incubator-mxnet/issues/16845#issuecomment-558292347
What is the status of this issue? Based on the result gathered by @rongzha1
it seems we can close this issue?
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_r350359910
##
File path: docs/static_site/src/pages/api/faq/large_tensor_support.md
sxjscience commented on issue #16621: [Numpy] Basic indexing in symbolic
interface of DeepNumpy
URL: https://github.com/apache/incubator-mxnet/pull/16621#issuecomment-558288948
@ptrendx Is it possible to include this into 1.6? It's more like a bug-fix
because in the previous version, we
ptrendx commented on a change in pull request #16895: Fix ndarray indexing bug
URL: https://github.com/apache/incubator-mxnet/pull/16895#discussion_r350359071
##
File path: src/ndarray/ndarray.cc
##
@@ -243,8 +243,14 @@ NDArray NDArray::MKLDNNDataReshape(const
ptrendx commented on issue #16621: [Numpy] Basic indexing in symbolic interface
of DeepNumpy
URL: https://github.com/apache/incubator-mxnet/pull/16621#issuecomment-558287000
@sxjscience Issue #16887 is tagged as 1.6, but this PR introduces new
functionality (so probably we do not want it
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aaronmarkham pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet-site.git
The following commit(s) were added to refs/heads/asf-site by this push:
new a52a600 Bump the
apeforest commented on issue #16164: Re-Enabling Large Tensor Nightly on GPU
URL: https://github.com/apache/incubator-mxnet/pull/16164#issuecomment-558283175
Can you run all the tests in the same container as nightly and paste the
results here? Thanks!
sxjscience commented on issue #16879: loss for training and evaluation in
estimator could be different
URL:
https://github.com/apache/incubator-mxnet/issues/16879#issuecomment-558273378
Fixed in #16888, Thanks @liuzh91
sxjscience closed issue #16879: loss for training and evaluation in estimator
could be different
URL: https://github.com/apache/incubator-mxnet/issues/16879
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leleamol commented on issue #16891: Upgrading MKLDNN to 1.0 causes performance
regression.
URL:
https://github.com/apache/incubator-mxnet/issues/16891#issuecomment-558272571
@TaoLv I have build the mxnet package from source.
I followed the instructions that are mentioned in the
samskalicky commented on issue #16765: FusedOp Failing Static Linked Build
URL:
https://github.com/apache/incubator-mxnet/issues/16765#issuecomment-558263372
@zachgk is this fixed now that #16838 is merged?
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ptrendx pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from ca76bf1 Upgrade MKL-DNN dependency to v1.1 (#16823)
add 6bff547 Add evaluation_loss to the
ptrendx merged pull request #16888: Add evaluation_loss to the estimator base
class.
URL: https://github.com/apache/incubator-mxnet/pull/16888
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asmushetzel commented on issue #16683: fix for enable model parallelism for
non-fp32 data and symbolic interface
URL: https://github.com/apache/incubator-mxnet/pull/16683#issuecomment-558240910
There has been no comment on this request for 25 days. Anyone that I can
make interested?
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