Tommliu commented on a change in pull request #16786: Add OP diag [numpy]
URL: https://github.com/apache/incubator-mxnet/pull/16786#discussion_r346698038
##
File path: src/operator/numpy/np_matrix_op-inl.h
##
@@ -945,6 +950,207 @@ void NumpyConcatenateBackward(const nnvm::N
artor1os commented on a change in pull request #16786: Add OP diag [numpy]
URL: https://github.com/apache/incubator-mxnet/pull/16786#discussion_r346693576
##
File path: src/operator/numpy/np_matrix_op-inl.h
##
@@ -945,6 +950,207 @@ void NumpyConcatenateBackward(const nnvm::
artor1os commented on a change in pull request #16786: Add OP diag [numpy]
URL: https://github.com/apache/incubator-mxnet/pull/16786#discussion_r346692228
##
File path: src/operator/numpy/np_matrix_op-inl.h
##
@@ -945,6 +950,207 @@ void NumpyConcatenateBackward(const nnvm::
artor1os commented on a change in pull request #16801: add op bitwise_or [numpy]
URL: https://github.com/apache/incubator-mxnet/pull/16801#discussion_r346688671
##
File path: python/mxnet/ndarray/numpy/_op.py
##
@@ -1150,6 +1150,56 @@ def lcm(x1, x2, out=None, **kwargs):
artor1os commented on a change in pull request #16813: add numpy op diagflat
[numpy]
URL: https://github.com/apache/incubator-mxnet/pull/16813#discussion_r346684344
##
File path: python/mxnet/ndarray/numpy/_op.py
##
@@ -5308,3 +5307,57 @@ def nan_to_num(x, copy=True, nan=0
artor1os commented on a change in pull request #16813: add numpy op diagflat
[numpy]
URL: https://github.com/apache/incubator-mxnet/pull/16813#discussion_r346684821
##
File path: python/mxnet/ndarray/numpy/_op.py
##
@@ -5308,3 +5307,57 @@ def nan_to_num(x, copy=True, nan=0
artor1os commented on a change in pull request #16813: add numpy op diagflat
[numpy]
URL: https://github.com/apache/incubator-mxnet/pull/16813#discussion_r346685004
##
File path: python/mxnet/symbol/numpy/_symbol.py
##
@@ -4558,6 +4558,61 @@ def rot90(m, k=1, axes=(0, 1)):
artor1os commented on a change in pull request #16813: add numpy op diagflat
[numpy]
URL: https://github.com/apache/incubator-mxnet/pull/16813#discussion_r346685057
##
File path: python/mxnet/symbol/numpy/_symbol.py
##
@@ -4558,6 +4558,61 @@ def rot90(m, k=1, axes=(0, 1)):
artor1os commented on a change in pull request #16813: add numpy op diagflat
[numpy]
URL: https://github.com/apache/incubator-mxnet/pull/16813#discussion_r346685108
##
File path: python/mxnet/symbol/numpy/_symbol.py
##
@@ -4558,6 +4558,61 @@ def rot90(m, k=1, axes=(0, 1)):
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reminisce commented on a change in pull request #16800: [Numpy] Add NumPy
support for np.linalg.det and np.linalg.slogdet
URL: https://github.com/apache/incubator-mxnet/pull/16800#discussion_r346675733
##
File path: src/operator/tensor/la_op.h
##
@@ -428,7 +429,14 @@ inlin
reminisce commented on a change in pull request #16800: [Numpy] Add NumPy
support for np.linalg.det and np.linalg.slogdet
URL: https://github.com/apache/incubator-mxnet/pull/16800#discussion_r346676063
##
File path: src/operator/tensor/la_op-inl.h
##
@@ -502,6 +502,8 @@ st
TaoLv opened a new pull request #16823: [WIP] Upgrade MKL-DNN dependency to v1.1
URL: https://github.com/apache/incubator-mxnet/pull/16823
## Description ##
MKL-DNN library is renaming to DNNL since its v1.1 release. APIs are
backward compatible but we still need handle header names for
jonatan1626 opened a new issue #16822: Trouble building Mxnet 1.6.x
URL: https://github.com/apache/incubator-mxnet/issues/16822
## Description
Failure when trying to build mxnet 1.6.x from source code.
### Error Message
In file included from
/home/ubuntu/MXnet_perf/MXnet1.6/inc
cjolivier01 commented on issue #11417: libomp.so dependency (need REAL fix)
URL:
https://github.com/apache/incubator-mxnet/issues/11417#issuecomment-554227903
same as before.
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junrushao1994 commented on issue #7410: mxnet random seed should not be fixed
by default
URL:
https://github.com/apache/incubator-mxnet/issues/7410#issuecomment-554226245
@leezu Having an explicit random seed absolutely helps researchers in terms
of reproducibility, as JAX did it, and sci
vexilligera commented on issue #16800: [Numpy] Add NumPy support for
np.linalg.det and np.linalg.slogdet
URL: https://github.com/apache/incubator-mxnet/pull/16800#issuecomment-554224803
@reminisce @haojin2
This is an automat
TaoLv commented on issue #16814: [Fix] Clean TVM when no extra_operator is given
URL: https://github.com/apache/incubator-mxnet/pull/16814#issuecomment-554221239
@sxjscience @yzhliu Is the cmake configuration output intended when calling
`make clean`?
```
(mxnet) [lvtao@Mlt2-clx10
leezu commented on issue #7410: mxnet random seed should not be fixed by default
URL:
https://github.com/apache/incubator-mxnet/issues/7410#issuecomment-554218918
Would the consensus be already reached based on meta-consenus on numpy
compatibility https://github.com/apache/incubator-mxnet/
leezu edited a comment on issue #16739: Flaky test:
test_higher_order_grad.test_arctan and test_higher_order_grad.test_arccosh
URL:
https://github.com/apache/incubator-mxnet/issues/16739#issuecomment-554217236
This also affects test_higher_order_grad.test_arccosh. I suppose they are
both
leezu commented on issue #16739: Flaky test: test_higher_order_grad.test_arctan
and test_higher_order_grad.test_arccosh
URL:
https://github.com/apache/incubator-mxnet/issues/16739#issuecomment-554217236
This also affects test_higher_order_grad.test_arccosh. I suppose they are
both related
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sxjscience pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from b972406 clean TVM (#16814)
add 4a27b5c [Fix] Add ctx to the original ndarray and revise the usage
sxjscience merged pull request #16819: [Fix] Add ctx to the original ndarray
and revise the usage of context to ctx
URL: https://github.com/apache/incubator-mxnet/pull/16819
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ptrendx commented on issue #16704: Nightly tests fail with "Cannot find TVM op
config"
URL:
https://github.com/apache/incubator-mxnet/issues/16704#issuecomment-554208495
Nightly tests did not run yet, are you sure it fixes the failures?
haojin2 commented on issue #7410: mxnet random seed should not be fixed by
default
URL:
https://github.com/apache/incubator-mxnet/issues/7410#issuecomment-554205276
@leezu Have we all reached a consensus on what is the direction to go? If
there's not even a clear goal yet then I cannot co
awcchungster opened a new issue #16821: Pip package not up to date with latest
build
URL: https://github.com/apache/incubator-mxnet/issues/16821
## Description
The latest successful night build is not accessible on pip.
### Error Message
```
ERROR: Could not find a versi
leezu commented on issue #16821: Pip package not up to date with latest build
URL:
https://github.com/apache/incubator-mxnet/issues/16821#issuecomment-554204632
It depends on your definition of "nightly build pipeline". I considered
uploading to pypi as part of the pipeline. In either way,
awcchungster commented on issue #16821: Pip package not up to date with latest
build
URL:
https://github.com/apache/incubator-mxnet/issues/16821#issuecomment-554204312
@leezu This is different. the build is successful, but the pip package isn't
available.
leezu commented on issue #16821: Pip package not up to date with latest build
URL:
https://github.com/apache/incubator-mxnet/issues/16821#issuecomment-554203960
Duplicate https://github.com/apache/incubator-mxnet/issues/16799
leezu closed issue #16821: Pip package not up to date with latest build
URL: https://github.com/apache/incubator-mxnet/issues/16821
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hzfan commented on issue #16660: [WIP] [Numpy] TVM implementation for binary ops
URL: https://github.com/apache/incubator-mxnet/pull/16660#issuecomment-554199958
@hgt312 I agree that `a` and `b` may have different types. But if different
types of inputs are to be supported, all bin ops will
awcchungster opened a new issue #16821: Pip package not up to date with latest
build
URL: https://github.com/apache/incubator-mxnet/issues/16821
## Description
The latest successful night build is not accessible on pip.
### Error Message
```
ERROR: Could not find a versi
relaxli00 opened a new issue #16820: c++ examples on deconvolution and
upsampling
URL: https://github.com/apache/incubator-mxnet/issues/16820
Current C++ examples are mainly CNN related for image classification. None
of them includes the deconvolution and/or upsampling processes which are
zburning commented on issue #7410: mxnet random seed should not be fixed by
default
URL:
https://github.com/apache/incubator-mxnet/issues/7410#issuecomment-554193671
I think it could be better to warn users if they do not feed a seed. I'm
training a model but it cannot converge until I fe
hgt312 commented on issue #16660: [WIP] [Numpy] TVM implementation for binary
ops
URL: https://github.com/apache/incubator-mxnet/pull/16660#issuecomment-554193232
@hzfan I means that input `a` and `b` may have different types.
---
leezu edited a comment on issue #7410: mxnet random seed should not be fixed by
default
URL:
https://github.com/apache/incubator-mxnet/issues/7410#issuecomment-554192272
@haojin2 can you comment on if this will be fixed as part of the numpy
compatibility effort?
-
leezu commented on issue #7410: mxnet random seed should not be fixed by default
URL:
https://github.com/apache/incubator-mxnet/issues/7410#issuecomment-554192272
@haojin2 can you confirm this will be fixed as part of the numpy
compatibility effort?
---
hzfan commented on issue #16660: [WIP] [Numpy] TVM implementation for binary ops
URL: https://github.com/apache/incubator-mxnet/pull/16660#issuecomment-554190243
> Seems that we should support inputs with different dtypes, make the api
more flexible could be better.
Could you elabora
hzfan edited a comment on issue #16660: [WIP] [Numpy] TVM implementation for
binary ops
URL: https://github.com/apache/incubator-mxnet/pull/16660#issuecomment-554190243
> Seems that we should support inputs with different dtypes, make the api
more flexible could be better.
@hgt312
access2rohit commented on issue #16715: Lamb optimizer update
URL: https://github.com/apache/incubator-mxnet/pull/16715#issuecomment-554178708
> Please add description and reference to paper in the PR.
Done
This is an a
DickJC123 edited a comment on issue #16765: FusedOp Failing Static Linked Build
URL:
https://github.com/apache/incubator-mxnet/issues/16765#issuecomment-554174049
Finally figured out what's going on here. The build of bin/im2rec via ld
(as driven by g++) is failing because LDFLAGS is miss
DickJC123 commented on issue #16765: FusedOp Failing Static Linked Build
URL:
https://github.com/apache/incubator-mxnet/issues/16765#issuecomment-554174049
Finally figured out what's going on here. The build of bin/im2rec via ld
(as driven by g++) is failing because LDFLAGS is missing '-l
TaoLv commented on issue #11417: libomp.so dependency (need REAL fix)
URL:
https://github.com/apache/incubator-mxnet/issues/11417#issuecomment-554173466
@cjolivier01 Could you please share the build command line for each?
@matteosal For your information.
samskalicky commented on issue #16704: Nightly tests fail with "Cannot find TVM
op config"
URL:
https://github.com/apache/incubator-mxnet/issues/16704#issuecomment-554169774
@ptrendx #16773 is merged, can you cherry pick into 1.6?
-
ZhennanQin commented on issue #16772: [MKLDNN] Use MKLDNNRun
URL: https://github.com/apache/incubator-mxnet/pull/16772#issuecomment-554159990
> Do we fix any specific issue with these changes or they're just for code
refactoring?
Not for any particular issue, but a code refactoring t
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aaronmarkham pushed a commit to branch asf-site
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new 4e5a694 Bump the publis
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liuyizhi pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 33602e5 Update TVM submodule (#16777)
add b972406 clean TVM (#16814)
No new revisions were added b
yzhliu commented on issue #16814: [Fix] Clean TVM when no extra_operator is
given
URL: https://github.com/apache/incubator-mxnet/pull/16814#issuecomment-554145692
Thanks @sxjscience
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yzhliu merged pull request #16814: [Fix] Clean TVM when no extra_operator is
given
URL: https://github.com/apache/incubator-mxnet/pull/16814
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sxjscience opened a new pull request #16819: [Fix] Try to fix all warnings
URL: https://github.com/apache/incubator-mxnet/pull/16819
In the numpy interface, `context` has been renamed to be `ctx`. I've added
the `ctx` back to the original ndarray and also revised the `.context` calls.
##
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liuyizhi pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 7e21bda Fix nightly build (#16773)
add 33602e5 Update TVM submodule (#16777)
No new revisions were
yzhliu commented on issue #16777: Update TVM submodule
URL: https://github.com/apache/incubator-mxnet/pull/16777#issuecomment-554142123
Thanks @reminisce
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yzhliu merged pull request #16777: Update TVM submodule
URL: https://github.com/apache/incubator-mxnet/pull/16777
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szha commented on issue #16787: [CD] PyPI pipeline fix
URL: https://github.com/apache/incubator-mxnet/pull/16787#issuecomment-554140163
@aaronmarkham the committers are responsible for the quality of the
software, and code review is the standard way to ensure the quality. Approvals
should
Laurawly commented on issue #16818: [Numpy][TVM] TVM reduce added, support
initial value
URL: https://github.com/apache/incubator-mxnet/pull/16818#issuecomment-554139059
Thanks helps from @yzhliu @haojin2 and @reminisce, could you review and
comment?
--
Laurawly opened a new pull request #16818: [Numpy][TVM] TVM reduce added,
support initial value
URL: https://github.com/apache/incubator-mxnet/pull/16818
## Description ##
Add support for initial parameter for reduce in TVMOp; also added support
for min and max. Extended supported data
cjolivier01 edited a comment on issue #11417: libomp.so dependency (need REAL
fix)
URL:
https://github.com/apache/incubator-mxnet/issues/11417#issuecomment-554137600
I do not see gomp linked without mkl:
```
[chriso@chriso-hades:~/src/mxnet (chriso/gomp)]ldd
./cmake-build-debug/libm
cjolivier01 commented on issue #11417: libomp.so dependency (need REAL fix)
URL:
https://github.com/apache/incubator-mxnet/issues/11417#issuecomment-554137600
I no longer see gomp linked without mkl:
```
[chriso@chriso-hades:~/src/mxnet (chriso/gomp)]ldd
./cmake-build-debug/libmxnet.
cjolivier01 edited a comment on issue #11417: libomp.so dependency (need REAL
fix)
URL:
https://github.com/apache/incubator-mxnet/issues/11417#issuecomment-554137600
I do not see gomp linked without mkl:
```
[chriso@chriso-hades:~/src/mxnet (chriso/gomp)]ldd
./cmake-build-debug/libm
anirudh2290 opened a new pull request #16817: Fix InferType logic - add
backward inference for some ops
URL: https://github.com/apache/incubator-mxnet/pull/16817
## Description ##
- Fixes partially https://github.com/apache/incubator-mxnet/issues/16757
- Also fixes: https://github.com
reminisce commented on a change in pull request #16720: [Numpy] Implement numpy
operator 'average'
URL: https://github.com/apache/incubator-mxnet/pull/16720#discussion_r346591726
##
File path: include/mxnet/tensor_blob.h
##
@@ -148,6 +148,43 @@ class TBlob {
TBlob(const
reminisce commented on a change in pull request #16720: [Numpy] Implement numpy
operator 'average'
URL: https://github.com/apache/incubator-mxnet/pull/16720#discussion_r346593188
##
File path: include/mxnet/tensor_blob.h
##
@@ -148,6 +148,43 @@ class TBlob {
TBlob(const
reminisce commented on a change in pull request #16720: [Numpy] Implement numpy
operator 'average'
URL: https://github.com/apache/incubator-mxnet/pull/16720#discussion_r346594183
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -598,6 +598,100 @@ def _test_np_exc
larroy commented on issue #16715: Lamb optimizer update
URL: https://github.com/apache/incubator-mxnet/pull/16715#issuecomment-554125035
I see a crash in the way gluon trainer is calling the optimizer...
```
+ python3 run_pretraining.py
'--data=/home/piotr/mxnet-data/bert-pretraining/
cjolivier01 edited a comment on issue #11417: libomp.so dependency (need REAL
fix)
URL:
https://github.com/apache/incubator-mxnet/issues/11417#issuecomment-554122012
I no longer see it linking gomp with static mkl:
```bash
[chriso@chriso-hades:~/src/mxnet (chriso/gomp)]ldd
./cmake-b
cjolivier01 commented on issue #11417: libomp.so dependency (need REAL fix)
URL:
https://github.com/apache/incubator-mxnet/issues/11417#issuecomment-554122012
I no longer see it linking gomp with statis mkl:
```bash
[chriso@chriso-hades:~/src/mxnet (chriso/gomp)]ldd
./cmake-build-deb
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apeforest pushed a change to branch benchmark
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 70b65cb Load NDArray only to GPU if GPU is present (#16432)
add 35839bc Make mrcnn_mask_target
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apeforest pushed a change to branch benchmark
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from c4580ae Fix for wrong reqs set after switching from training to
inference (#16553)
add d1797cf
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apeforest pushed a change to branch benchmark
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from d1797cf Move MRCNNMaskTarget op to contrib (#16486)
add 70b65cb Load NDArray only to GPU if GPU
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apeforest pushed a change to branch benchmark
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
discard 89db058 Add mask target generator operator for Mask-RCNN (#16268)
discard 1cac460 Make mrcnn_mask_t
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apeforest pushed a change to branch benchmark
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from 1cac460 Make mrcnn_mask_target arg mask_size a 2d tuple (#16567)
add 89db058 Add mask target ge
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apeforest pushed a change to branch benchmark
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from c4580ae Fix for wrong reqs set after switching from training to
inference (#16553)
add 1cac460
anirudh2290 opened a new issue #16816: Infer Type issue when dtype passed is
None
URL: https://github.com/apache/incubator-mxnet/issues/16816
## Description
```
data = mx.sym.var("data")
data2 = mx.sym.var("data2")
out = mx.sym.elemwise_add(data, data2)
arg_types, out_typ
larroy commented on a change in pull request #16715: Lamb optimizer update
URL: https://github.com/apache/incubator-mxnet/pull/16715#discussion_r346569698
##
File path: python/mxnet/optimizer/optimizer.py
##
@@ -1244,6 +1244,51 @@ def update(self, index, weight, grad, state
sxjscience opened a new issue #16815: [TVMOP] Better error message/installation
doc for TVM_OP
URL: https://github.com/apache/incubator-mxnet/issues/16815
I tried to install the master version of MXNet in an Ubuntu 18.04 machine
(Deep Learning Base AMI Ubuntu 18.04) but ran into the follow
haojin2 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_r346560262
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -3235,6 +
haojin2 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_r346560365
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -3235,6 +
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marcoabreu pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 5139e2c add gammaln, erf, erfinv (#16811)
add 7e21bda Fix nightly build (#16773)
No new revision
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marcoabreu pushed a change to branch master
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from 5139e2c add gammaln, erf, erfinv (#16811)
add 7e21bda Fix nightly build (#16773)
No new revision
marcoabreu merged pull request #16773: Fix nightly build
URL: https://github.com/apache/incubator-mxnet/pull/16773
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haojin2 commented on a change in pull request #16813: add numpy op diagflat
[numpy]
URL: https://github.com/apache/incubator-mxnet/pull/16813#discussion_r346554082
##
File path: src/operator/numpy/np_diagflat_op-inl.h
##
@@ -0,0 +1,213 @@
+/*
+ * Licensed to the Apache Sof
haojin2 commented on a change in pull request #16813: add numpy op diagflat
[numpy]
URL: https://github.com/apache/incubator-mxnet/pull/16813#discussion_r346552527
##
File path: src/operator/numpy/np_diagflat_op.cc
##
@@ -0,0 +1,98 @@
+/*
+ * Licensed to the Apache Softwar
haojin2 commented on a change in pull request #16813: add numpy op diagflat
[numpy]
URL: https://github.com/apache/incubator-mxnet/pull/16813#discussion_r346552304
##
File path: src/operator/numpy/np_diagflat_op-inl.h
##
@@ -0,0 +1,213 @@
+/*
+ * Licensed to the Apache Sof
haojin2 commented on a change in pull request #16813: add numpy op diagflat
[numpy]
URL: https://github.com/apache/incubator-mxnet/pull/16813#discussion_r346551557
##
File path: src/operator/numpy/np_diagflat_op-inl.h
##
@@ -0,0 +1,213 @@
+/*
+ * Licensed to the Apache Sof
haojin2 commented on a change in pull request #16813: add numpy op diagflat
[numpy]
URL: https://github.com/apache/incubator-mxnet/pull/16813#discussion_r346551096
##
File path: src/operator/numpy/np_diagflat_op-inl.h
##
@@ -0,0 +1,213 @@
+/*
Review comment:
put thos
haojin2 commented on a change in pull request #16813: add numpy op diagflat
[numpy]
URL: https://github.com/apache/incubator-mxnet/pull/16813#discussion_r346551405
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File path: src/operator/numpy/np_diagflat_op-inl.h
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@@ -0,0 +1,213 @@
+/*
+ * Licensed to the Apache Sof
haojin2 commented on a change in pull request #16813: add numpy op diagflat
[numpy]
URL: https://github.com/apache/incubator-mxnet/pull/16813#discussion_r346550777
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File path: python/mxnet/symbol/numpy/_symbol.py
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@@ -4558,6 +4558,61 @@ def rot90(m, k=1, axes=(0, 1)):
CassiniXu commented on a change in pull request #16813: add numpy op diagflat
[numpy]
URL: https://github.com/apache/incubator-mxnet/pull/16813#discussion_r346546153
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File path: python/mxnet/ndarray/numpy/_op.py
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@@ -5308,3 +5307,57 @@ def nan_to_num(x, copy=True, nan=
CassiniXu commented on a change in pull request #16813: add numpy op diagflat
[numpy]
URL: https://github.com/apache/incubator-mxnet/pull/16813#discussion_r346546243
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File path: python/mxnet/ndarray/numpy/_op.py
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@@ -5308,3 +5307,57 @@ def nan_to_num(x, copy=True, nan=
CassiniXu commented on a change in pull request #16813: add numpy op diagflat
[numpy]
URL: https://github.com/apache/incubator-mxnet/pull/16813#discussion_r346546153
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File path: python/mxnet/ndarray/numpy/_op.py
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@@ -5308,3 +5307,57 @@ def nan_to_num(x, copy=True, nan=
larroy commented on issue #16715: Lamb optimizer update
URL: https://github.com/apache/incubator-mxnet/pull/16715#issuecomment-554077596
Please add description and reference to paper in the PR.
This is an automated message fro
samskalicky commented on a change in pull request #16715: Lamb optimizer update
URL: https://github.com/apache/incubator-mxnet/pull/16715#discussion_r346540266
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File path: src/operator/optimizer_op-inl.h
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@@ -1563,6 +1563,192 @@ inline void AdamUpdateEx(const nnvm::Node
samskalicky commented on a change in pull request #16715: Lamb optimizer update
URL: https://github.com/apache/incubator-mxnet/pull/16715#discussion_r346539388
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File path: src/operator/optimizer_op-inl.h
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@@ -1563,6 +1563,192 @@ inline void AdamUpdateEx(const nnvm::Node
sxjscience commented on issue #16814: [Fix] Clean TVM when no extra_operator is
given
URL: https://github.com/apache/incubator-mxnet/pull/16814#issuecomment-554073232
@yzhliu
This is an automated message from the Apache Git
sxjscience opened a new pull request #16814: [Fix] Clean TVM when no
extra_operator is given
URL: https://github.com/apache/incubator-mxnet/pull/16814
## Description ##
Fix Makefile.
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR
haojin2 commented on a change in pull request #16813: add numpy op diagflat
[numpy]
URL: https://github.com/apache/incubator-mxnet/pull/16813#discussion_r346531331
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File path: python/mxnet/ndarray/numpy/_op.py
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@@ -5308,3 +5307,57 @@ def nan_to_num(x, copy=True, nan=0.
haojin2 commented on a change in pull request #16813: add numpy op diagflat
[numpy]
URL: https://github.com/apache/incubator-mxnet/pull/16813#discussion_r346531555
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File path: python/mxnet/ndarray/numpy/_op.py
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@@ -5308,3 +5307,57 @@ def nan_to_num(x, copy=True, nan=0.
haojin2 commented on a change in pull request #16813: add numpy op diagflat
[numpy]
URL: https://github.com/apache/incubator-mxnet/pull/16813#discussion_r346530927
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File path: python/mxnet/ndarray/numpy/_op.py
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@@ -5308,3 +5307,57 @@ def nan_to_num(x, copy=True, nan=0.
haojin2 commented on a change in pull request #16813: add numpy op diagflat
[numpy]
URL: https://github.com/apache/incubator-mxnet/pull/16813#discussion_r346530927
##
File path: python/mxnet/ndarray/numpy/_op.py
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@@ -5308,3 +5307,57 @@ def nan_to_num(x, copy=True, nan=0.
haojin2 commented on a change in pull request #16813: add numpy op diagflat
[numpy]
URL: https://github.com/apache/incubator-mxnet/pull/16813#discussion_r346530707
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File path: python/mxnet/ndarray/numpy/_op.py
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@@ -39,8 +39,7 @@
'around', 'hypot', 'rad2deg'
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