Alicia1529 opened a new pull request #17390: [Numpy]add op random.beta
URL: https://github.com/apache/incubator-mxnet/pull/17390
add np.random.beta
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reminisce opened a new issue #17389: Indexing ndarray should give empty array
output
URL: https://github.com/apache/incubator-mxnet/issues/17389
## Description
When indexing an ndarray with an index greater than the dim size, it should
produce an empty ndarray as in NumPy, instead of th
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rongzha1 commented on a change in pull request #17170: add mkldnn softmax
backward
URL: https://github.com/apache/incubator-mxnet/pull/17170#discussion_r368829691
##
File path: src/operator/nn/mkldnn/mkldnn_softmax.cc
##
@@ -131,6 +143,80 @@ void MKLDNNSoftmaxForward(cons
KellenSunderland commented on issue #15547: Pybind11 license issue from onnx
tensorrt
URL:
https://github.com/apache/incubator-mxnet/issues/15547#issuecomment-576528385
I'd also propose we do this in the 1.7 release.
This is
eric-haibin-lin commented on a change in pull request #15124: [MXNET-1294]
Priority-based parameter propagation for improved data parallel training
throughput
URL: https://github.com/apache/incubator-mxnet/pull/15124#discussion_r368809705
##
File path: src/kvstore/p3store.h
##
eric-haibin-lin commented on a change in pull request #15124: [MXNET-1294]
Priority-based parameter propagation for improved data parallel training
throughput
URL: https://github.com/apache/incubator-mxnet/pull/15124#discussion_r368813696
##
File path: python/mxnet/kvstore/kvstore.
eric-haibin-lin commented on a change in pull request #15124: [MXNET-1294]
Priority-based parameter propagation for improved data parallel training
throughput
URL: https://github.com/apache/incubator-mxnet/pull/15124#discussion_r368811146
##
File path: include/mxnet/c_api.h
##
eric-haibin-lin commented on a change in pull request #15124: [MXNET-1294]
Priority-based parameter propagation for improved data parallel training
throughput
URL: https://github.com/apache/incubator-mxnet/pull/15124#discussion_r368807494
##
File path: docs/static_site/src/pages/ap
eric-haibin-lin commented on a change in pull request #15124: [MXNET-1294]
Priority-based parameter propagation for improved data parallel training
throughput
URL: https://github.com/apache/incubator-mxnet/pull/15124#discussion_r368814411
##
File path: python/mxnet/kvstore/kvstore.
eric-haibin-lin commented on a change in pull request #15124: [MXNET-1294]
Priority-based parameter propagation for improved data parallel training
throughput
URL: https://github.com/apache/incubator-mxnet/pull/15124#discussion_r368807735
##
File path: python/mxnet/kvstore/base.py
eric-haibin-lin commented on a change in pull request #15124: [MXNET-1294]
Priority-based parameter propagation for improved data parallel training
throughput
URL: https://github.com/apache/incubator-mxnet/pull/15124#discussion_r368809867
##
File path: src/kvstore/p3store.h
##
eric-haibin-lin commented on a change in pull request #15124: [MXNET-1294]
Priority-based parameter propagation for improved data parallel training
throughput
URL: https://github.com/apache/incubator-mxnet/pull/15124#discussion_r368809460
##
File path: src/kvstore/p3store.h
##
eric-haibin-lin commented on a change in pull request #15124: [MXNET-1294]
Priority-based parameter propagation for improved data parallel training
throughput
URL: https://github.com/apache/incubator-mxnet/pull/15124#discussion_r368808125
##
File path: python/mxnet/kvstore/kvstore.
eric-haibin-lin commented on a change in pull request #15124: [MXNET-1294]
Priority-based parameter propagation for improved data parallel training
throughput
URL: https://github.com/apache/incubator-mxnet/pull/15124#discussion_r368809279
##
File path: src/kvstore/p3store.h
##
eric-haibin-lin commented on a change in pull request #15124: [MXNET-1294]
Priority-based parameter propagation for improved data parallel training
throughput
URL: https://github.com/apache/incubator-mxnet/pull/15124#discussion_r368813200
##
File path: python/mxnet/kvstore/base.py
eric-haibin-lin commented on a change in pull request #15124: [MXNET-1294]
Priority-based parameter propagation for improved data parallel training
throughput
URL: https://github.com/apache/incubator-mxnet/pull/15124#discussion_r368813825
##
File path: python/mxnet/kvstore/kvstore.
vexilligera commented on a change in pull request #17387: [TVM][Windows] TVM
Ops windows build
URL: https://github.com/apache/incubator-mxnet/pull/17387#discussion_r368794934
##
File path: CMakeLists.txt
##
@@ -134,7 +134,7 @@ if(MSVC)
if(USE_F16C)
message("F16C in
vexilligera commented on a change in pull request #17387: [TVM][Windows] TVM
Ops windows build
URL: https://github.com/apache/incubator-mxnet/pull/17387#discussion_r368794934
##
File path: CMakeLists.txt
##
@@ -134,7 +134,7 @@ if(MSVC)
if(USE_F16C)
message("F16C in
vexilligera commented on a change in pull request #17014: [NumPy] Add NumPy
support for norm
URL: https://github.com/apache/incubator-mxnet/pull/17014#discussion_r368790115
##
File path: src/operator/numpy/linalg/np_norm-inl.h
##
@@ -0,0 +1,830 @@
+/*
+ * Licensed to the A
vexilligera commented on a change in pull request #17014: [NumPy] Add NumPy
support for norm
URL: https://github.com/apache/incubator-mxnet/pull/17014#discussion_r368790115
##
File path: src/operator/numpy/linalg/np_norm-inl.h
##
@@ -0,0 +1,830 @@
+/*
+ * Licensed to the A
leezu commented on a change in pull request #17387: [TVM][Windows] TVM Ops
windows build
URL: https://github.com/apache/incubator-mxnet/pull/17387#discussion_r368792178
##
File path: CMakeLists.txt
##
@@ -419,7 +419,7 @@ if(USE_OPENMP)
# could a Windows user please fix?
vexilligera commented on a change in pull request #17014: [NumPy] Add NumPy
support for norm
URL: https://github.com/apache/incubator-mxnet/pull/17014#discussion_r368791962
##
File path: src/operator/numpy/linalg/broadcast_reduce_customized-inl.cuh
##
@@ -0,0 +1,416 @@
+/*
vexilligera commented on a change in pull request #17014: [NumPy] Add NumPy
support for norm
URL: https://github.com/apache/incubator-mxnet/pull/17014#discussion_r368790115
##
File path: src/operator/numpy/linalg/np_norm-inl.h
##
@@ -0,0 +1,830 @@
+/*
+ * Licensed to the A
access2rohit commented on issue #17388: skipping randint flaky test for large
vector and reordering op execution
URL: https://github.com/apache/incubator-mxnet/pull/17388#issuecomment-576485523
@ChaiBapchya @apeforest PR ready for review
---
access2rohit edited a comment on issue #17388: skipping randint flaky test for
large vector and reordering op execution
URL: https://github.com/apache/incubator-mxnet/pull/17388#issuecomment-576485460
@mxnet-label-bot add [pr-awaiting-review]
--
access2rohit commented on issue #17388: skipping randint flaky test for large
vector and reordering op execution
URL: https://github.com/apache/incubator-mxnet/pull/17388#issuecomment-576485460
@mxnet-label-bot add [pre-awaiting-review]
access2rohit opened a new pull request #17388: skipping randint flaky test for
large vector and reordering op execution
URL: https://github.com/apache/incubator-mxnet/pull/17388
## Description ##
Disables flaky test randint since natively none of the randing APIs used
internally suppor
haojin2 commented on issue #17384: Error in numpy unit test
URL:
https://github.com/apache/incubator-mxnet/issues/17384#issuecomment-576485062
I have 1.18.1, I'll try with my numpy downgraded.
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heaseny commented on issue #17384: Error in numpy unit test
URL:
https://github.com/apache/incubator-mxnet/issues/17384#issuecomment-576484737
The test can fail with numpy==1.16.4, so should I upgrade my numpy?
This is an au
vexilligera commented on a change in pull request #17387: [TVM][Windows] TVM
Ops windows build
URL: https://github.com/apache/incubator-mxnet/pull/17387#discussion_r368778676
##
File path: CMakeLists.txt
##
@@ -134,7 +134,7 @@ if(MSVC)
if(USE_F16C)
message("F16C in
vexilligera commented on a change in pull request #17387: [TVM][Windows] TVM
Ops windows build
URL: https://github.com/apache/incubator-mxnet/pull/17387#discussion_r368778573
##
File path: CMakeLists.txt
##
@@ -419,7 +419,7 @@ if(USE_OPENMP)
# could a Windows user pleas
vexilligera commented on a change in pull request #17387: [TVM][Windows] TVM
Ops windows build
URL: https://github.com/apache/incubator-mxnet/pull/17387#discussion_r368778350
##
File path: python/mxnet/space.py
##
@@ -1 +1,214 @@
-../../contrib/tvmop/space.py
Review com
rondogency commented on issue #17382: document of lib_custom_op support gpu
without rebuilding mxnet
URL:
https://github.com/apache/incubator-mxnet/issues/17382#issuecomment-576471945
Hi @a550461053, the lib_custom_op in c++ doesn't support GPU for now, and we
are working on both c++ cust
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leezu edited a comment on issue #17121: Include 3rdparty/jemalloc (Fix for
Ubuntu 18.10+, Debian Stable, etc.)
URL: https://github.com/apache/incubator-mxnet/pull/17121#issuecomment-576464949
Close this until stable upstream. See
https://github.com/jemalloc/jemalloc/issues/303.
http
leezu commented on issue #17121: Include 3rdparty/jemalloc (Fix for Ubuntu
18.10+, Debian Stable, etc.)
URL: https://github.com/apache/incubator-mxnet/pull/17121#issuecomment-576464949
Close this until stable upstream. See
https://github.com/jemalloc/jemalloc/issues/303.
-
leezu closed pull request #17121: Include 3rdparty/jemalloc (Fix for Ubuntu
18.10+, Debian Stable, etc.)
URL: https://github.com/apache/incubator-mxnet/pull/17121
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larroy edited a comment on issue #16995: CI timeout on unix-cpu Python2 test
URL:
https://github.com/apache/incubator-mxnet/issues/16995#issuecomment-576458573
Thanks the team will look into it in the following days.
This is
larroy commented on issue #16995: CI timeout on unix-cpu Python2 test
URL:
https://github.com/apache/incubator-mxnet/issues/16995#issuecomment-576458573
Thanks the team will look into this next week.
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haojin2 commented on issue #17384: Error in numpy unit test
URL:
https://github.com/apache/incubator-mxnet/issues/17384#issuecomment-576454166
Hi, I'm not able to reproduce with latest master branch, which branch were
you using? and what kind of build are you using?
```
nosetests -s
haojin2 commented on issue #17317: Floor division operator "//" in deepnumpy
URL:
https://github.com/apache/incubator-mxnet/issues/17317#issuecomment-576450916
working on it
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lausen pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 28742cf [numpy] add op random.exponential (#17280)
add 425319c Set USE_JEMALLOC=OFF by default due to
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lausen pushed a change to branch master
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from 28742cf [numpy] add op random.exponential (#17280)
add 425319c Set USE_JEMALLOC=OFF by default due to
leezu merged pull request #17324: USE_JEMALLOC=OFF by default
URL: https://github.com/apache/incubator-mxnet/pull/17324
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leezu commented on a change in pull request #17387: [TVM][Windows] TVM Ops
windows build
URL: https://github.com/apache/incubator-mxnet/pull/17387#discussion_r368691253
##
File path: python/mxnet/space.py
##
@@ -1 +1,214 @@
-../../contrib/tvmop/space.py
Review comment:
leezu commented on a change in pull request #17387: [TVM][Windows] TVM Ops
windows build
URL: https://github.com/apache/incubator-mxnet/pull/17387#discussion_r368690456
##
File path: CMakeLists.txt
##
@@ -419,7 +419,7 @@ if(USE_OPENMP)
# could a Windows user please fix?
leezu commented on a change in pull request #17387: [TVM][Windows] TVM Ops
windows build
URL: https://github.com/apache/incubator-mxnet/pull/17387#discussion_r368690375
##
File path: CMakeLists.txt
##
@@ -134,7 +134,7 @@ if(MSVC)
if(USE_F16C)
message("F16C instruct
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aaronmarkham pushed a commit to branch asf-site
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The following commit(s) were added to refs/heads/asf-site by this push:
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sxjscience commented on issue #17317: Floor division operator "//" in deepnumpy
URL:
https://github.com/apache/incubator-mxnet/issues/17317#issuecomment-576372804
@haojin2 @reminisce
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sxjscience closed issue #17303: New Basic Layer "nn.bias_add"
URL: https://github.com/apache/incubator-mxnet/issues/17303
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sxjscience commented on issue #17303: New Basic Layer "nn.bias_add"
URL:
https://github.com/apache/incubator-mxnet/issues/17303#issuecomment-576364762
Given that we can use broadcasting, it should not be necessary to introduce
`bias_add`. Also, in numpy, we can directly use the auto-broadc
xidulu commented on a change in pull request #17385: [NumPy] add
random.geometric op
URL: https://github.com/apache/incubator-mxnet/pull/17385#discussion_r368596365
##
File path: src/operator/numpy/random/np_geometric_op.h
##
@@ -0,0 +1,177 @@
+/*
+ * Licensed to the Apach
xidulu commented on a change in pull request #17385: [NumPy] add
random.geometric op
URL: https://github.com/apache/incubator-mxnet/pull/17385#discussion_r368595176
##
File path: src/operator/numpy/random/np_geometric_op.h
##
@@ -0,0 +1,177 @@
+/*
+ * Licensed to the Apach
xidulu commented on a change in pull request #17385: [NumPy] add
random.geometric op
URL: https://github.com/apache/incubator-mxnet/pull/17385#discussion_r368595176
##
File path: src/operator/numpy/random/np_geometric_op.h
##
@@ -0,0 +1,177 @@
+/*
+ * Licensed to the Apach
xidulu commented on a change in pull request #17385: [NumPy] add
random.geometric op
URL: https://github.com/apache/incubator-mxnet/pull/17385#discussion_r368594348
##
File path: src/operator/numpy/random/np_geometric_op.h
##
@@ -0,0 +1,177 @@
+/*
+ * Licensed to the Apach
xidulu commented on a change in pull request #17385: [NumPy] add
random.geometric op
URL: https://github.com/apache/incubator-mxnet/pull/17385#discussion_r368592023
##
File path: src/operator/numpy/random/np_geometric_op.h
##
@@ -0,0 +1,177 @@
+/*
+ * Licensed to the Apach
TaoLv commented on a change in pull request #17170: add mkldnn softmax backward
URL: https://github.com/apache/incubator-mxnet/pull/17170#discussion_r368582465
##
File path: src/operator/nn/mkldnn/mkldnn_softmax.cc
##
@@ -131,6 +143,80 @@ void MKLDNNSoftmaxForward(const nn
szha commented on a change in pull request #17376: [MXNET-1404] Implement
storage tagging, the first half of the memory profiler
URL: https://github.com/apache/incubator-mxnet/pull/17376#discussion_r368549404
##
File path: include/mxnet/storage.h
##
@@ -26,15 +26,52 @@
#d
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vexilligera opened a new pull request #17387: [TVM][Windows] TVM Ops windows
build
URL: https://github.com/apache/incubator-mxnet/pull/17387
## Description ##
Linux link and Windows works differently, so I had to paste
contrib/tvmop/space.py to python/mxnet/space.py, otherwise python fr
liuzh91 edited a comment on issue #17380: pip install error
URL:
https://github.com/apache/incubator-mxnet/issues/17380#issuecomment-576188540
@ResearchingDexter Have you `make` under the `incubator-mxnet` directory
before doing `pip install`?
After cloning the git directory, you s
liuzh91 edited a comment on issue #17380: pip install error
URL:
https://github.com/apache/incubator-mxnet/issues/17380#issuecomment-576188540
@ResearchingDexter Have you `make` under the `incubator-mxnet` directory
before doing `pip install`?
After cloning the git directory, you s
liuzh91 commented on issue #17380: pip install error
URL:
https://github.com/apache/incubator-mxnet/issues/17380#issuecomment-576188540
@ResearchingDexter Have you `make` under the `incubator-mxnet` directory
before doing `pip install`?
---
TaoLv commented on issue #17386: fixed seed for mkldnn test
URL: https://github.com/apache/incubator-mxnet/pull/17386#issuecomment-576176991
@apeforest This change should fix the problem in #17352. Could you please
review and check?
-
TaoLv commented on a change in pull request #17386: [MXNET-17352]fixed seed for
mkldnn test
URL: https://github.com/apache/incubator-mxnet/pull/17386#discussion_r368431866
##
File path: tests/python/mkl/test_mkldnn.py
##
@@ -95,7 +97,7 @@ def __getitem__(self, key):
f
heaseny opened a new pull request #17386: [MXNET-17352]fixed seed for mkldnn
test
URL: https://github.com/apache/incubator-mxnet/pull/17386
## Description ##
This PR is intended to fix the issue in JIRA 17352 with fixed seed.
https://github.com/apache/incubator-mxnet/issues/17352
AntiZpvoh opened a new pull request #17385: [NumPy] add random.geometric op
URL: https://github.com/apache/incubator-mxnet/pull/17385
## Description ##
add numpy.random.geometric op and write the unit test
## Checklist ##
### Essentials ###
Please feel free to remove inapplic
TaoLv commented on issue #16995: CI timeout on unix-cpu Python2 test
URL:
https://github.com/apache/incubator-mxnet/issues/16995#issuecomment-576163296
Timeout again:
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-cpu/detail/PR-17355/3/pipeline/
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