haojin2 merged pull request #15837: Numpy add numpy op indices
URL: https://github.com/apache/incubator-mxnet/pull/15837
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haoj pushed a change to branch master
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from 5b42065 Fixing build for gluon estimator test, including libtvm in
pack libs (#16148)
add 287e3b5
RomanSteinberg edited a comment on issue #16134: Incorrect subtraction
URL:
https://github.com/apache/incubator-mxnet/issues/16134#issuecomment-530705229
@leezu the results are the same. And once again I want to point out that I
can find workaround, but it *doesn't remove vulnerability
szha commented on issue #16097: [numpy] array ufunc and array function protocols
URL: https://github.com/apache/incubator-mxnet/pull/16097#issuecomment-530701110
The downside of upgrading is the potential conflict of the numpy dependency
version between mxnet’s and other packages’. Shall
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RomanSteinberg commented on issue #16134: Incorrect subtraction
URL:
https://github.com/apache/incubator-mxnet/issues/16134#issuecomment-530705229
@leezu the results are the same. And once again I want to point out that I
can find workaround, but it *doesn't remove vulnerability from
reminisce commented on issue #16097: [numpy] array ufunc and array function
protocols
URL: https://github.com/apache/incubator-mxnet/pull/16097#issuecomment-530706856
I will add proper error message when it is used with numpy 1.16 versions.
Thanks.
larroy removed a comment on issue #15167: Pointwise fusion for GPU
URL: https://github.com/apache/incubator-mxnet/pull/15167#issuecomment-529180384
@cjolivier01 you are no longer active in this project and are just blocking
PRs and preventing contributions, do the right thing for the
RomanSteinberg edited a comment on issue #16134: Incorrect subtraction
URL:
https://github.com/apache/incubator-mxnet/issues/16134#issuecomment-530268559
There are 2 computers with GPU and 2 without. All have linux installed and
python works in virtual environments. For simplification, I
RomanSteinberg commented on issue #16134: Incorrect subtraction
URL:
https://github.com/apache/incubator-mxnet/issues/16134#issuecomment-530710565
By the way, has anyone managed to reproduce the error? If not I'll try to
find possibility to "copy" the system on "deploy" computer.
tingying2020 commented on a change in pull request #16016: [numpy] operator
ravel, derive from reshape
URL: https://github.com/apache/incubator-mxnet/pull/16016#discussion_r323614375
##
File path: python/mxnet/ndarray/numpy/_op.py
##
@@ -2363,3 +2363,55 @@ def var(a,
leezu commented on issue #16097: [numpy] array ufunc and array function
protocols
URL: https://github.com/apache/incubator-mxnet/pull/16097#issuecomment-530725409
@szha this assumes that people can't upgrade to numpy 1.17 if they are using
1.16. However, I don't see any backword
haojin2 commented on a change in pull request #15838: [numpy] nonzero
URL: https://github.com/apache/incubator-mxnet/pull/15838#discussion_r323632354
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -1744,6 +1744,44 @@ def test_indexing_mode(sampler, set_size,
haojin2 commented on a change in pull request #16126: [numpy] operator around
URL: https://github.com/apache/incubator-mxnet/pull/16126#discussion_r323647478
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -1647,6 +1647,40 @@ def hybrid_forward(self, F, a):
haojin2 commented on a change in pull request #16126: [numpy] operator around
URL: https://github.com/apache/incubator-mxnet/pull/16126#discussion_r323645802
##
File path: src/operator/tensor/elemwise_unary_op.h
##
@@ -560,6 +560,101 @@ struct ReshapeLikeParam : public
tingying2020 commented on a change in pull request #15819: [Numpy]flip
URL: https://github.com/apache/incubator-mxnet/pull/15819#discussion_r323651440
##
File path: src/operator/numpy/np_matrix_op-inl.h
##
@@ -60,6 +60,81 @@ void NumpyTranspose(const nnvm::NodeAttrs&
gyshi commented on a change in pull request #16025: Numpy add numpy op
left_shift and right_shift
URL: https://github.com/apache/incubator-mxnet/pull/16025#discussion_r323609421
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -1647,6 +1647,50 @@ def
haojin2 commented on a change in pull request #16126: [numpy] operator around
URL: https://github.com/apache/incubator-mxnet/pull/16126#discussion_r323646468
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -1647,6 +1647,40 @@ def hybrid_forward(self, F, a):
haojin2 commented on a change in pull request #16126: [numpy] operator around
URL: https://github.com/apache/incubator-mxnet/pull/16126#discussion_r323646730
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -1647,6 +1647,40 @@ def hybrid_forward(self, F, a):
RomanSteinberg edited a comment on issue #16134: Incorrect subtraction
URL:
https://github.com/apache/incubator-mxnet/issues/16134#issuecomment-530705229
@leezu the results are the same. And once again I want to point out that I
can find workaround, but it *doesn't remove vulnerability
tingying2020 opened a new pull request #16151: [numpy] [tvm] operator
floor_divide
URL: https://github.com/apache/incubator-mxnet/pull/16151
@haojin2
@yzhliu
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haojin2 commented on a change in pull request #15838: [numpy] nonzero
URL: https://github.com/apache/incubator-mxnet/pull/15838#discussion_r323631849
##
File path: python/mxnet/_numpy_op_doc.py
##
@@ -100,6 +100,54 @@ def _np_cumsum(a, axis=None, dtype=None, out=None):
haojin2 commented on a change in pull request #15838: [numpy] nonzero
URL: https://github.com/apache/incubator-mxnet/pull/15838#discussion_r323632081
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -1744,6 +1744,44 @@ def test_indexing_mode(sampler, set_size,
haojin2 commented on a change in pull request #15838: [numpy] nonzero
URL: https://github.com/apache/incubator-mxnet/pull/15838#discussion_r323632202
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -1744,6 +1744,44 @@ def test_indexing_mode(sampler, set_size,
tingying2020 commented on a change in pull request #16126: [numpy] operator
around
URL: https://github.com/apache/incubator-mxnet/pull/16126#discussion_r323703197
##
File path: src/operator/tensor/elemwise_unary_op.h
##
@@ -560,6 +560,101 @@ struct ReshapeLikeParam :
tingying2020 closed pull request #15799: [doc]numpy doc new pr after rebase
URL: https://github.com/apache/incubator-mxnet/pull/15799
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xidulu opened a new pull request #16152: [Numpy] Random.gamma() implemented
URL: https://github.com/apache/incubator-mxnet/pull/16152
## Description ##
As title, implementation detail is described in
https://github.com/apache/incubator-mxnet/issues/15928
The current
tingying2020 commented on a change in pull request #16016: [numpy] operator
ravel, derive from reshape
URL: https://github.com/apache/incubator-mxnet/pull/16016#discussion_r323689966
##
File path: python/mxnet/symbol/numpy/_symbol.py
##
@@ -2678,4 +2678,42 @@ def var(a,
tingying2020 commented on a change in pull request #16016: [numpy] operator
ravel, derive from reshape
URL: https://github.com/apache/incubator-mxnet/pull/16016#discussion_r323689923
##
File path: python/mxnet/ndarray/numpy/_op.py
##
@@ -2363,3 +2363,55 @@ def var(a,
tingying2020 commented on a change in pull request #16016: [numpy] operator
ravel, derive from reshape
URL: https://github.com/apache/incubator-mxnet/pull/16016#discussion_r323694953
##
File path: python/mxnet/ndarray/numpy/_op.py
##
@@ -2363,3 +2363,55 @@ def var(a,
haojin2 commented on a change in pull request #16126: [numpy] operator around
URL: https://github.com/apache/incubator-mxnet/pull/16126#discussion_r323646292
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -1647,6 +1647,40 @@ def hybrid_forward(self, F, a):
haojin2 commented on a change in pull request #16126: [numpy] operator around
URL: https://github.com/apache/incubator-mxnet/pull/16126#discussion_r323646091
##
File path: src/operator/tensor/elemwise_unary_op.h
##
@@ -560,6 +560,101 @@ struct ReshapeLikeParam : public
haojin2 commented on a change in pull request #16126: [numpy] operator around
URL: https://github.com/apache/incubator-mxnet/pull/16126#discussion_r323645802
##
File path: src/operator/tensor/elemwise_unary_op.h
##
@@ -560,6 +560,101 @@ struct ReshapeLikeParam : public
tingying2020 commented on a change in pull request #15819: [Numpy]flip
URL: https://github.com/apache/incubator-mxnet/pull/15819#discussion_r323651406
##
File path: src/operator/numpy/np_matrix_op-inl.h
##
@@ -60,6 +60,81 @@ void NumpyTranspose(const nnvm::NodeAttrs&
gyshi commented on a change in pull request #15815: Numpy add numpy op hanning,
hamming, blackman
URL: https://github.com/apache/incubator-mxnet/pull/15815#discussion_r323617237
##
File path: python/mxnet/ndarray/numpy/_op.py
##
@@ -2145,3 +2145,275 @@ def argmax(a,
tingying2020 commented on a change in pull request #16016: [numpy] operator
ravel, derive from reshape
URL: https://github.com/apache/incubator-mxnet/pull/16016#discussion_r323621370
##
File path: python/mxnet/symbol/numpy/_symbol.py
##
@@ -2678,4 +2678,42 @@ def var(a,
haojin2 commented on a change in pull request #15819: [Numpy]flip
URL: https://github.com/apache/incubator-mxnet/pull/15819#discussion_r323629714
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -1744,6 +1744,66 @@ def test_indexing_mode(sampler, set_size,
haojin2 commented on a change in pull request #15819: [Numpy]flip
URL: https://github.com/apache/incubator-mxnet/pull/15819#discussion_r323629194
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -1744,6 +1744,66 @@ def test_indexing_mode(sampler, set_size,
QueensGambit commented on a change in pull request #16144: added
-DCMAKE_BUILD_TYPE=Release to docs for building from source
URL: https://github.com/apache/incubator-mxnet/pull/16144#discussion_r323675640
##
File path: docs/install/build_from_source.md
##
@@ -182,6 +182,8
gyshi commented on a change in pull request #15815: Numpy add numpy op hanning,
hamming, blackman
URL: https://github.com/apache/incubator-mxnet/pull/15815#discussion_r323618268
##
File path: python/mxnet/ndarray/numpy/_op.py
##
@@ -2145,3 +2145,275 @@ def argmax(a,
leezu commented on issue #16114: improve dataloader signals and messages
URL: https://github.com/apache/incubator-mxnet/pull/16114#issuecomment-530729242
Thanks @zhreshold! I wonder if adding a default timeout is a backwards
incompatible change that affects our semantic versioning
haojin2 commented on a change in pull request #15819: [Numpy]flip
URL: https://github.com/apache/incubator-mxnet/pull/15819#discussion_r323630349
##
File path: src/operator/numpy/np_matrix_op-inl.h
##
@@ -60,6 +60,81 @@ void NumpyTranspose(const nnvm::NodeAttrs& attrs,
haojin2 commented on a change in pull request #15819: [Numpy]flip
URL: https://github.com/apache/incubator-mxnet/pull/15819#discussion_r323630430
##
File path: src/operator/numpy/np_matrix_op-inl.h
##
@@ -60,6 +60,81 @@ void NumpyTranspose(const nnvm::NodeAttrs& attrs,
haojin2 commented on a change in pull request #16016: [numpy] operator ravel,
derive from reshape
URL: https://github.com/apache/incubator-mxnet/pull/16016#discussion_r323648765
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -1323,6 +1323,39 @@ def
haojin2 commented on a change in pull request #16016: [numpy] operator ravel,
derive from reshape
URL: https://github.com/apache/incubator-mxnet/pull/16016#discussion_r323648906
##
File path: python/mxnet/ndarray/numpy/_op.py
##
@@ -2363,3 +2363,55 @@ def var(a,
haojin2 commented on a change in pull request #16016: [numpy] operator ravel,
derive from reshape
URL: https://github.com/apache/incubator-mxnet/pull/16016#discussion_r323648555
##
File path: python/mxnet/symbol/numpy/_symbol.py
##
@@ -2678,4 +2678,42 @@ def var(a,
tingying2020 commented on a change in pull request #16016: [numpy] operator
ravel, derive from reshape
URL: https://github.com/apache/incubator-mxnet/pull/16016#discussion_r323690459
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -1744,6 +1777,45 @@ def
tingying2020 commented on a change in pull request #16016: [numpy] operator
ravel, derive from reshape
URL: https://github.com/apache/incubator-mxnet/pull/16016#discussion_r323690352
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -1323,6 +1323,39 @@ def
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from d9364ba julia: fix `mx.forward` kwargs checking (#16138)
add b4b7bfb Update env_var.md (#16145)
No
tingying2020 commented on a change in pull request #16126: [numpy] operator
around
URL: https://github.com/apache/incubator-mxnet/pull/16126#discussion_r323710250
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##
@@ -560,6 +560,101 @@ struct ReshapeLikeParam :
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iblis pushed a change to branch master
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from 287e3b5 Numpy add numpy op indices (#15837)
add d9364ba julia: fix `mx.forward` kwargs checking
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was bb8a6f4 julia: fix `mx.forward` kwargs checking
The revisions that were on this branch are still
iblis17 merged pull request #16138: julia: fix `mx.forward` kwargs checking
URL: https://github.com/apache/incubator-mxnet/pull/16138
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TaoLv merged pull request #16145: [DOC] Update env_var.md
URL: https://github.com/apache/incubator-mxnet/pull/16145
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tingying2020 commented on a change in pull request #16126: [numpy] operator
around
URL: https://github.com/apache/incubator-mxnet/pull/16126#discussion_r323716861
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -1647,6 +1647,40 @@ def hybrid_forward(self, F,
tingying2020 commented on a change in pull request #16126: [numpy] operator
around
URL: https://github.com/apache/incubator-mxnet/pull/16126#discussion_r323716913
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -1647,6 +1647,40 @@ def hybrid_forward(self, F,
tingying2020 commented on a change in pull request #16126: [numpy] operator
around
URL: https://github.com/apache/incubator-mxnet/pull/16126#discussion_r323716956
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -1647,6 +1647,40 @@ def hybrid_forward(self, F,
tingying2020 commented on a change in pull request #16126: [numpy] operator
around
URL: https://github.com/apache/incubator-mxnet/pull/16126#discussion_r323716994
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -1647,6 +1647,40 @@ def hybrid_forward(self, F,
iblis17 commented on issue #15568: julia: rename build env var `MXNET_HOME` to
`MXNET_ROOT`
URL: https://github.com/apache/incubator-mxnet/pull/15568#issuecomment-530812290
oh, @aaronmarkham what are the recent changes on the website builds?
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iblis pushed a change to branch ib/backport-jl
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from aa3677d update julia install doc (#15609)
add 6559b80 julia: fix `mx.forward` kwargs checking
igolan opened a new issue #16154: Deprecated MXNET website is still online ?
URL: https://github.com/apache/incubator-mxnet/issues/16154
Hi,
I searched for "install mxnet" in Google, and the first results was this
link:
http://mxnet.incubator.apache.org/test/get_started/install.html
mxnet-label-bot commented on issue #16154: Deprecated MXNET website is still
online ?
URL:
https://github.com/apache/incubator-mxnet/issues/16154#issuecomment-530892870
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels so
that
matteosal commented on issue #16143: Failure of MKL-DNN Convolution from C API
URL:
https://github.com/apache/incubator-mxnet/issues/16143#issuecomment-530901486
I've discovered an example which is not fixed by the above patch. Again, I
couldn't reproduce this problem using python:
```
zhreshold commented on issue #16114: improve dataloader signals and messages
URL: https://github.com/apache/incubator-mxnet/pull/16114#issuecomment-530934136
@leezu the timeout is for dataloader workers, not including the network
training on the main thread. Is there any use case where
sxjscience commented on a change in pull request #15851: [Numpy] Numpy copysign
URL: https://github.com/apache/incubator-mxnet/pull/15851#discussion_r323830449
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -149,6 +149,66 @@ def hybrid_forward(self, F, a):
sxjscience commented on a change in pull request #16016: [numpy] operator
ravel, derive from reshape
URL: https://github.com/apache/incubator-mxnet/pull/16016#discussion_r323831244
##
File path: python/mxnet/symbol/numpy/_symbol.py
##
@@ -2748,4 +2748,44 @@ def
apeforest opened a new pull request #16155: set fixed seed for profiler
URL: https://github.com/apache/incubator-mxnet/pull/16155
## Description ##
Use a fixed seed for profiler to reduce run-to-run variation.
This is an
ChaiBapchya opened a new pull request #16156: Sequence last fix
URL: https://github.com/apache/incubator-mxnet/pull/16156
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your
marcoabreu commented on issue #16134: Incorrect subtraction
URL:
https://github.com/apache/incubator-mxnet/issues/16134#issuecomment-530952395
You could maybe provide a Dockerfile that recreates the environment? That
would make it easier to replicate and debug the error.
chongruo opened a new pull request #16153: Add operator for Modulated
Deformable Convolution
URL: https://github.com/apache/incubator-mxnet/pull/16153
## Description ##
As title
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
sxjscience commented on a change in pull request #16016: [numpy] operator
ravel, derive from reshape
URL: https://github.com/apache/incubator-mxnet/pull/16016#discussion_r323832082
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -1323,6 +1323,39 @@ def
HahTK commented on a change in pull request #16131: Fix for duplicate subgraph
inputs/outputs
URL: https://github.com/apache/incubator-mxnet/pull/16131#discussion_r323889132
##
File path: src/operator/subgraph/subgraph_property.h
##
@@ -296,8 +296,20 @@ class
ChaiBapchya commented on issue #16156: Sequence last fix
URL: https://github.com/apache/incubator-mxnet/pull/16156#issuecomment-530953036
```
nosetests -s -v tests/nightly/test_large_vector.py:test_sequence_last
test_large_vector.test_sequence_last ... ok
matteosal edited a comment on issue #16143: Failure of MKL-DNN Convolution from
C API
URL:
https://github.com/apache/incubator-mxnet/issues/16143#issuecomment-530901486
I've discovered an example which is not fixed by the above patch. This is
time it involves a more complex symbol with
comaniac commented on a change in pull request #15815: Numpy add numpy op
hanning, hamming, blackman
URL: https://github.com/apache/incubator-mxnet/pull/15815#discussion_r323835532
##
File path: python/mxnet/ndarray/numpy/_op.py
##
@@ -2145,3 +2145,275 @@ def argmax(a,
Vikas-kum commented on issue #16138: julia: fix `mx.forward` kwargs checking
URL: https://github.com/apache/incubator-mxnet/pull/16138#issuecomment-530934646
@iblis17 the ci is failing on this PR. Please take a look at this -
marcoabreu commented on issue #16154: Deprecated MXNET website is still online ?
URL:
https://github.com/apache/incubator-mxnet/issues/16154#issuecomment-530950875
You're
ChaiBapchya commented on issue #16156: Sequence last fix
URL: https://github.com/apache/incubator-mxnet/pull/16156#issuecomment-530952767
@access2rohit @apeforest take a look. Thanks.
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ChaiBapchya commented on issue #16156: Sequence last fix
URL: https://github.com/apache/incubator-mxnet/pull/16156#issuecomment-530952650
@mxnet-label-bot add [pr-awaiting-review]
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sxjscience commented on a change in pull request #16016: [numpy] operator
ravel, derive from reshape
URL: https://github.com/apache/incubator-mxnet/pull/16016#discussion_r323832234
##
File path: python/mxnet/numpy/multiarray.py
##
@@ -3873,3 +3873,47 @@ def
matteosal edited a comment on issue #16143: Failure of MKL-DNN Convolution from
C API
URL:
https://github.com/apache/incubator-mxnet/issues/16143#issuecomment-530901486
I've discovered an example which is not fixed by the above patch. Again, I
couldn't reproduce this problem using
apeforest commented on issue #16155: set fixed seed for profiler
URL: https://github.com/apache/incubator-mxnet/pull/16155#issuecomment-530918599
@ChaiBapchya review please
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Vikas-kum commented on issue #15837: Numpy add numpy op indices
URL: https://github.com/apache/incubator-mxnet/pull/15837#issuecomment-530935264
backward compatibility check is failing for this PR:
Can you check this and make sure that it passes -
aaronmarkham commented on issue #15568: julia: rename build env var
`MXNET_HOME` to `MXNET_ROOT`
URL: https://github.com/apache/incubator-mxnet/pull/15568#issuecomment-530958976
> oh, @aaronmarkham what are the recent changes on the website builds?
The [code isn't merged
Laurawly commented on a change in pull request #15901: [Numpy] operator hypot
URL: https://github.com/apache/incubator-mxnet/pull/15901#discussion_r323903524
##
File path: python/mxnet/ndarray/numpy/_op.py
##
@@ -2432,3 +2432,52 @@ def indices(dimensions, dtype=_np.int32,
zachgk merged pull request #16127: CD Fixes
URL: https://github.com/apache/incubator-mxnet/pull/16127
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ThomasDelteil opened a new pull request #15885: [WIP] New Website: Remove Old
Content [2/3]
URL: https://github.com/apache/incubator-mxnet/pull/15885
This specific commit can be reviewed here in isolation here for better
readability: https://github.com/ThomasDelteil/incubator-mxnet/pull/5
ThomasDelteil closed pull request #15885: [WIP] New Website: Remove Old Content
[2/3]
URL: https://github.com/apache/incubator-mxnet/pull/15885
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adis300 commented on issue #15303: Fix amalgamation failure.
URL: https://github.com/apache/incubator-mxnet/pull/15303#issuecomment-531023979
Thanks @marcoabreu .
@TaoLv I will try to rebase this branch and test in the next few days. Since
it is very behind now.
Hope the
marcoabreu commented on issue #15303: Fix amalgamation failure.
URL: https://github.com/apache/incubator-mxnet/pull/15303#issuecomment-530960352
I think we're still running Amalagamation tests:
https://github.com/apache/incubator-mxnet/blob/master/tests/nightly/Jenkinsfile#L76
Laurawly commented on a change in pull request #15816: Numpy Tril (Lower
triangle) operator
URL: https://github.com/apache/incubator-mxnet/pull/15816#discussion_r323902000
##
File path: tests/python/unittest/test_numpy_op.py
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@@ -92,6 +92,65 @@ def is_int(dtype):
Laurawly commented on a change in pull request #15816: Numpy Tril (Lower
triangle) operator
URL: https://github.com/apache/incubator-mxnet/pull/15816#discussion_r323901845
##
File path: tests/python/unittest/test_numpy_op.py
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@@ -92,6 +92,65 @@ def is_int(dtype):
igolan closed issue #16130: Imperative execution in MXNET with multiple GPUs
does not run in parallel
URL: https://github.com/apache/incubator-mxnet/issues/16130
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igolan commented on issue #16130: Imperative execution in MXNET with multiple
GPUs does not run in parallel
URL:
https://github.com/apache/incubator-mxnet/issues/16130#issuecomment-530972213
Hi,
If I use a larger model (cifar_wideresnet40_8) it does run in parallel.
This issue can
access2rohit commented on issue #16156: Sequence last fix
URL: https://github.com/apache/incubator-mxnet/pull/16156#issuecomment-530979994
@ChaiBapchya Can you also run the full suite again and paste the results too
This is
ChaiBapchya edited a comment on issue #16156: Sequence last fix
URL: https://github.com/apache/incubator-mxnet/pull/16156#issuecomment-531001265
For C5.18xl instance (similar to the one used to run Nightly build)
topk,argsort,sort - ERROR
multinomial - fails due to memory shortage
szha closed issue #16135: Sampling fails on mxnet==1.5.0 on Linux?
URL: https://github.com/apache/incubator-mxnet/issues/16135
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ChaiBapchya commented on issue #16156: Sequence last fix
URL: https://github.com/apache/incubator-mxnet/pull/16156#issuecomment-531011526
Subsequent run (commenting the ones already tested)
```
nosetests -s -v tests/nightly/test_large_vector.py
ChaiBapchya edited a comment on issue #16156: Sequence last fix
URL: https://github.com/apache/incubator-mxnet/pull/16156#issuecomment-531001265
For C5.18xl instance (similar to the one used to run Nightly build)
topk,argsort,sort - ERROR
mxnet.base.MXNetError: [21:29:51]
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