AntiZpvoh opened a new pull request #17316: [NumPy] add op random.laplace
URL: https://github.com/apache/incubator-mxnet/pull/17316
## Description ##
Add op random.laplace, which could generate random samples with Laplace
Distribution.
## Checklist ##
### Essentials ###
ronnac opened a new issue #17315: mvn install scala package sigsev
mxnet::TShape::Size()
URL: https://github.com/apache/incubator-mxnet/issues/17315
## Description
mvn install of the scala package fails on armhf 32bit with SIGSEGV at
Building MXNet Scala Package - Core INTERNAL
rondogency commented on issue #16654: Multithreaded Inference Support
URL: https://github.com/apache/incubator-mxnet/pull/16654#issuecomment-574539215
@anirudh2290 Thanks for this big contribution! one suggestion is that lots
of developers complaining about cached op lacking docblocks and
rondogency commented on a change in pull request #16654: Multithreaded
Inference Support
URL: https://github.com/apache/incubator-mxnet/pull/16654#discussion_r366730799
##
File path: src/imperative/cached_op_threadsafe.cc
##
@@ -0,0 +1,329 @@
+/*
+ * Licensed to the
TaoLv commented on issue #16890: Mkldnn fullyConnect bwd bug fix
URL: https://github.com/apache/incubator-mxnet/pull/16890#issuecomment-574526907
@rongzha1 Any update for this PR and the flaky CPP test?
This is an automated
eric-haibin-lin commented on issue #17244: Incorrect installation instruction
URL:
https://github.com/apache/incubator-mxnet/issues/17244#issuecomment-574520361
@aaronmarkham what's the alternative solution you're proposing?
eric-haibin-lin commented on a change in pull request #16654: Multithreaded
Inference Support
URL: https://github.com/apache/incubator-mxnet/pull/16654#discussion_r366715578
##
File path: src/imperative/cached_op_threadsafe.cc
##
@@ -0,0 +1,329 @@
+/*
+ * Licensed to the
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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 58edf36 Bump the
apeforest commented on a change in pull request #17305: grouping large array
tests based on type and updating nightly CI funtion
URL: https://github.com/apache/incubator-mxnet/pull/17305#discussion_r366707955
##
File path: tests/nightly/test_large_array.py
##
@@ -35,1658
Tommliu opened a new pull request #17314: all/any_fix [Numpy]
URL: https://github.com/apache/incubator-mxnet/pull/17314
## Description ##
add all/any self method
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
- [ ] The PR
ptrendx closed pull request #15834: Check expected vs. actual Node inputs.
Many operators non-compliant.
URL: https://github.com/apache/incubator-mxnet/pull/15834
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ptrendx commented on issue #15834: Check expected vs. actual Node inputs. Many
operators non-compliant.
URL: https://github.com/apache/incubator-mxnet/pull/15834#issuecomment-574501961
Relevant changes from this PR were incorporated in #17049, so closing this
one.
ResearchingDexter edited a comment on issue #15647: Segmentation fault: 11
URL:
https://github.com/apache/incubator-mxnet/issues/15647#issuecomment-574496320
I ran ```python diagnose.py```
then printed
```shell
--Python Info--
Version : 3.6.8
Compiler
ResearchingDexter edited a comment on issue #15647: Segmentation fault: 11
URL:
https://github.com/apache/incubator-mxnet/issues/15647#issuecomment-574496320
I runned ```python diagnose.py```
then printed
```shell
--Python Info--
Version : 3.6.8
ResearchingDexter commented on issue #15647: Segmentation fault: 11
URL:
https://github.com/apache/incubator-mxnet/issues/15647#issuecomment-574496320
I runned ```python python diagnose.py```
then printed
```shell
--Python Info--
Version : 3.6.8
larroy commented on issue #15530: [MXNET-978] Higher Order Gradient Support
`arcsinh`, `arccosh`.
URL: https://github.com/apache/incubator-mxnet/pull/15530#issuecomment-574474424
Flaky test?
DickJC123 commented on issue #17312: Fix flakey test_ndarray.py:test_reduce
URL: https://github.com/apache/incubator-mxnet/pull/17312#issuecomment-574468792
I see now that the relaxing of precision for float32 was already applied by
PR https://github.com/apache/incubator-mxnet/pull/16992.
litaotju commented on issue #17132: TX2 gpu memory cost abnormal
URL:
https://github.com/apache/incubator-mxnet/issues/17132#issuecomment-574467741
Which memory are you referencong here? TX2 shares gpu and host cpu memory.
While in x86 the cpu and gpu does not share mem
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zhasheng pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 71e70f2 adding asnumpy() to output of gather(implicitly called) to
fix gather test in large vector and
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zhasheng pushed a change to branch master
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from 71e70f2 adding asnumpy() to output of gather(implicitly called) to
fix gather test in large vector and
szha merged pull request #17308: Fix CosineEmbeddingLoss in when symbol API is
used
URL: https://github.com/apache/incubator-mxnet/pull/17308
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TaoLv opened a new pull request #17313: [WIP] Update 3rdparty/mkldnn to v1.2.0
URL: https://github.com/apache/incubator-mxnet/pull/17313
## Description ##
Currently it's the release candidate for v1.2.0. Will change to formal
release once it's published.
## Checklist ##
###
anjishnu edited a comment on issue #17298: [MXNET-1438] Adding SDML loss
function
URL: https://github.com/apache/incubator-mxnet/pull/17298#issuecomment-574458020
It looks a little tricky to port this into the 'fit' and 'score' paradigm
since this is a retrieval specific loss function
anjishnu edited a comment on issue #17298: [MXNET-1438] Adding SDML loss
function
URL: https://github.com/apache/incubator-mxnet/pull/17298#issuecomment-574458020
It looks a little tricky to port this into the 'fit' and 'score' paradigm
since this is a retrieval specific loss function
TaoLv commented on issue #17300: Align repr() function for rnn cell and rnn
layer of Gluon
URL: https://github.com/apache/incubator-mxnet/pull/17300#issuecomment-574458209
@szha Is this change good to you?
This is an
anjishnu commented on issue #17298: [MXNET-1438] Adding SDML loss function
URL: https://github.com/apache/incubator-mxnet/pull/17298#issuecomment-574458020
It looks a little tricky to port this into the 'fit' and 'score' paradigm
since this is a retrieval specific loss function which uses
zixuanweeei commented on issue #17300: Align repr() function for rnn cell and
rnn layer of Gluon
URL: https://github.com/apache/incubator-mxnet/pull/17300#issuecomment-574456481
> Looks good, as it's just a helper message for LSTM/GRU cell, not related
to the functionality. I don't think
ChaiBapchya commented on issue #14728: [MXNET-1386] fix for shape mismatch
URL: https://github.com/apache/incubator-mxnet/pull/14728#issuecomment-574456214
@ZhennanQin does #15518 address `test_subgraph.test_pos_conv_add2` issue?
DickJC123 opened a new pull request #17312: Fix flakey
test_ndarray.py:test_reduce
URL: https://github.com/apache/incubator-mxnet/pull/17312
## Description ##
This PR improves the reliability of the test_reduce unittest in
test_ndarray.py. Two seen test failure outputs are shown below
rongzha1 commented on a change in pull request #17170: add mkldnn softmax
backward
URL: https://github.com/apache/incubator-mxnet/pull/17170#discussion_r366658974
##
File path: src/operator/nn/mkldnn/mkldnn_softmax.cc
##
@@ -131,6 +143,80 @@ void
rongzha1 commented on a change in pull request #17170: add mkldnn softmax
backward
URL: https://github.com/apache/incubator-mxnet/pull/17170#discussion_r366658426
##
File path: src/operator/nn/mkldnn/mkldnn_softmax.cc
##
@@ -131,6 +143,80 @@ void
ciyongch commented on issue #17300: Align repr() function for rnn cell and rnn
layer of Gluon
URL: https://github.com/apache/incubator-mxnet/pull/17300#issuecomment-574448410
Looks good, as it's just a helper message for LSTM/GRU cell, not related to
the functionality. I don't think it's
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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:
new 0737692 Bump the
access2rohit commented on issue #17305: grouping large array tests based on
type and updating nightly CI funtion
URL: https://github.com/apache/incubator-mxnet/pull/17305#issuecomment-574441116
> LGTM. How about we regroup/rename the groups to test_tensor (including
array_creation and
blchu opened a new pull request #17311: Added beamsearch_set_finished Operator
URL: https://github.com/apache/incubator-mxnet/pull/17311
## Description ##
Added a new operator, beamsearch_set_finished, for updating the scores of
finished beams in beam search more efficiently than using
apeforest commented on a change in pull request #16654: Multithreaded Inference
Support
URL: https://github.com/apache/incubator-mxnet/pull/16654#discussion_r366631962
##
File path: src/imperative/cached_op_threadsafe.cc
##
@@ -0,0 +1,329 @@
+/*
+ * Licensed to the Apache
apeforest commented on a change in pull request #16654: Multithreaded Inference
Support
URL: https://github.com/apache/incubator-mxnet/pull/16654#discussion_r366631849
##
File path: src/imperative/cached_op_threadsafe.cc
##
@@ -0,0 +1,329 @@
+/*
+ * Licensed to the Apache
apeforest commented on a change in pull request #16654: Multithreaded Inference
Support
URL: https://github.com/apache/incubator-mxnet/pull/16654#discussion_r366630967
##
File path: src/imperative/cached_op.cc
##
@@ -32,247 +32,12 @@
ronnac opened a new issue #17310: mvn compile of the scala package fails on
armhf because of hardcoded sse and f16c flags
URL: https://github.com/apache/incubator-mxnet/issues/17310
## Description
mvn compile of the scala package fails on armhf because of hardcoded sse and
f16c flags
haojin2 commented on issue #17298: [MXNET-1438] Adding SDML loss function
URL: https://github.com/apache/incubator-mxnet/pull/17298#issuecomment-574418897
@anjishnu Like this:
https://github.com/apache/incubator-mxnet/pull/17298/files#diff-b129d416cc6980021cb35420a66e4d3aR334
anjishnu commented on issue #17298: [MXNET-1438] Adding SDML loss function
URL: https://github.com/apache/incubator-mxnet/pull/17298#issuecomment-574415884
Sure will address the sanity cases -
Can you give an example of a unit test that is appropriately randomized so I
can base it
anjishnu edited a comment on issue #17298: [MXNET-1438] Adding SDML loss
function
URL: https://github.com/apache/incubator-mxnet/pull/17298#issuecomment-574415884
@haojin2 Sure will address the sanity cases.
Can you give an example of a unit test that is appropriately randomized so
access2rohit commented on a change in pull request #17309: adding docs for
64bit C APIs of large tensor and removing not required int64 C APIs
URL: https://github.com/apache/incubator-mxnet/pull/17309#discussion_r366609591
##
File path: include/mxnet/c_api.h
##
@@ -585,6
ChaiBapchya commented on a change in pull request #17309: adding docs for 64bit
C APIs of large tensor and removing not required int64 C APIs
URL: https://github.com/apache/incubator-mxnet/pull/17309#discussion_r366608184
##
File path: include/mxnet/c_api.h
##
@@
ChaiBapchya commented on a change in pull request #17309: adding docs for 64bit
C APIs of large tensor and removing not required int64 C APIs
URL: https://github.com/apache/incubator-mxnet/pull/17309#discussion_r366607671
##
File path: include/mxnet/c_api.h
##
@@ -1840,6
ChaiBapchya commented on a change in pull request #17309: adding docs for 64bit
C APIs of large tensor and removing not required int64 C APIs
URL: https://github.com/apache/incubator-mxnet/pull/17309#discussion_r366608014
##
File path: include/mxnet/c_api.h
##
@@
ChaiBapchya commented on a change in pull request #17309: adding docs for 64bit
C APIs of large tensor and removing not required int64 C APIs
URL: https://github.com/apache/incubator-mxnet/pull/17309#discussion_r366606053
##
File path: include/mxnet/c_api.h
##
@@ -1840,6
ChaiBapchya commented on a change in pull request #17309: adding docs for 64bit
C APIs of large tensor and removing not required int64 C APIs
URL: https://github.com/apache/incubator-mxnet/pull/17309#discussion_r366606476
##
File path: include/mxnet/c_api.h
##
@@ -1727,6
ChaiBapchya commented on a change in pull request #17309: adding docs for 64bit
C APIs of large tensor and removing not required int64 C APIs
URL: https://github.com/apache/incubator-mxnet/pull/17309#discussion_r366606351
##
File path: include/mxnet/c_api.h
##
@@ -1727,6
ChaiBapchya commented on a change in pull request #17309: adding docs for 64bit
C APIs of large tensor and removing not required int64 C APIs
URL: https://github.com/apache/incubator-mxnet/pull/17309#discussion_r366606283
##
File path: include/mxnet/c_api.h
##
@@ -1727,6
ChaiBapchya commented on a change in pull request #17309: adding docs for 64bit
C APIs of large tensor and removing not required int64 C APIs
URL: https://github.com/apache/incubator-mxnet/pull/17309#discussion_r366605962
##
File path: include/mxnet/c_api.h
##
@@ -1840,6
ChaiBapchya commented on a change in pull request #17309: adding docs for 64bit
C APIs of large tensor and removing not required int64 C APIs
URL: https://github.com/apache/incubator-mxnet/pull/17309#discussion_r366605886
##
File path: include/mxnet/c_api.h
##
@@ -1840,6
apeforest commented on issue #17159: Performance regression from 1.4.1 to 1.5.1
URL:
https://github.com/apache/incubator-mxnet/issues/17159#issuecomment-574402879
No regression found when building mxnet from source with 1.4, 1.5 and 1.6.
The difference in performance could be due to the
apeforest closed issue #17159: Performance regression from 1.4.1 to 1.5.1
URL: https://github.com/apache/incubator-mxnet/issues/17159
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zhhoper commented on issue #17231: cannot quantization example
URL:
https://github.com/apache/incubator-mxnet/issues/17231#issuecomment-574399327
@wuxun-zhang Sorry that I haven't been able to touch that after reporting
the bug. Will take a look at that and let you know if the bug is
aaronmarkham commented on a change in pull request #17206: Windows dev
environment configuration, update install instructions from source in the docs.
URL: https://github.com/apache/incubator-mxnet/pull/17206#discussion_r366591319
##
File path:
aaronmarkham commented on a change in pull request #17206: Windows dev
environment configuration, update install instructions from source in the docs.
URL: https://github.com/apache/incubator-mxnet/pull/17206#discussion_r366594527
##
File path:
aaronmarkham commented on a change in pull request #17206: Windows dev
environment configuration, update install instructions from source in the docs.
URL: https://github.com/apache/incubator-mxnet/pull/17206#discussion_r366595186
##
File path:
aaronmarkham commented on a change in pull request #17206: Windows dev
environment configuration, update install instructions from source in the docs.
URL: https://github.com/apache/incubator-mxnet/pull/17206#discussion_r366592778
##
File path:
aaronmarkham commented on a change in pull request #17206: Windows dev
environment configuration, update install instructions from source in the docs.
URL: https://github.com/apache/incubator-mxnet/pull/17206#discussion_r366593590
##
File path:
aaronmarkham commented on issue #17244: Incorrect installation instruction
URL:
https://github.com/apache/incubator-mxnet/issues/17244#issuecomment-574389324
The content looks fine in here:
apeforest commented on a change in pull request #17309: adding docs for 64bit C
APIs of large tensor and removing not required int64 C APIs
URL: https://github.com/apache/incubator-mxnet/pull/17309#discussion_r366588180
##
File path: include/mxnet/c_api.h
##
@@ -585,6
access2rohit commented on issue #17309: adding docs for 64bit C APIs of large
tensor and removing not required int64 C APIs
URL: https://github.com/apache/incubator-mxnet/pull/17309#issuecomment-574378284
@apeforest @ChaiBapchya PR ready for review
access2rohit commented on issue #17309: adding docs for 64bit C APIs of large
tensor and removing not required int64 C APIs
URL: https://github.com/apache/incubator-mxnet/pull/17309#issuecomment-574378172
@mxnet-label-bot add [pr-awaiting-review]
access2rohit opened a new pull request #17309: adding docs for 64bit C APIs of
large tensor and removing not required int64 C APIs
URL: https://github.com/apache/incubator-mxnet/pull/17309
## Description ##
adding docs for 64bit C APIs of large tensor and removing not required int64
C
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apeforest pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 9f2e73f Support R-package with cmake build and fix installation
instructions (#17228)
add 71e70f2
apeforest merged pull request #17290: Fixing gather op in large vector and array
URL: https://github.com/apache/incubator-mxnet/pull/17290
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larroy commented on issue #17293: [Build] Add a reasonable default for
CMAKE_CUDA_COMPILER in *nix
URL: https://github.com/apache/incubator-mxnet/pull/17293#issuecomment-574364704
/usr/local/cuda/bin/nvcc is usually NOT in the path.
larroy commented on issue #17293: [Build] Add a reasonable default for
CMAKE_CUDA_COMPILER in *nix
URL: https://github.com/apache/incubator-mxnet/pull/17293#issuecomment-574364596
nvcc is normally not in the PATH in ubuntu nvidia packages it goes in the
path that you can see in this PR.
dithyrambe closed issue #17275: CosineEmbeddingLoss won't work after hybridize
(ie. with symbol API)
URL: https://github.com/apache/incubator-mxnet/issues/17275
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D-Roberts commented on issue #17307: NDArray does not have `std()` method
URL:
https://github.com/apache/incubator-mxnet/issues/17307#issuecomment-574361269
@vietspaceanh In case it helps your usecase, there is:
`import mxnet.numpy as np`
`a = np.random.randn(3,3)`
dithyrambe opened a new pull request #17308: Fix CosineEmbeddingLoss in when
symbol API is used
URL: https://github.com/apache/incubator-mxnet/pull/17308
Fixes #17275
## Description ##
Fix inconsistances between `ndarray` & `symbol` API regarding `.reshape`
method
dithyrambe commented on issue #17275: CosineEmbeddingLoss won't work after
hybridize (ie. with symbol API)
URL:
https://github.com/apache/incubator-mxnet/issues/17275#issuecomment-574348641
All right,
Thanks for your help.
vietspaceanh opened a new issue #17307: NDArray does not have `std()` method
URL: https://github.com/apache/incubator-mxnet/issues/17307
Although `ndarray.mean()` exists, I cannot find the standard deviation
method for `NDArray'.
Example:
```python
from mxnet import nd
a =
apeforest edited a comment on issue #17304: [flaky]
test_higher_order_grad.test_tanh
URL:
https://github.com/apache/incubator-mxnet/issues/17304#issuecomment-574326240
@kshitij12345 Would you mind taking a look at this test? Thanks! It looks
like we can increase the precision tolerance
apeforest edited a comment on issue #17304: [flaky]
test_higher_order_grad.test_tanh
URL:
https://github.com/apache/incubator-mxnet/issues/17304#issuecomment-574326240
@kshitij12345 Could you please take a look at this test? Thanks! It looks
like we can increase the precision tolerance
apeforest commented on issue #17304: [flaky] test_higher_order_grad.test_tanh
URL:
https://github.com/apache/incubator-mxnet/issues/17304#issuecomment-574326240
@kshitij12345 Could you please take a look at this test? Thanks!
access2rohit commented on issue #17306: grouping large vector tests based on
their type and adding their nightly test function
URL: https://github.com/apache/incubator-mxnet/pull/17306#issuecomment-574323103
@apeforest @ChaiBapchya PR is ready for review
access2rohit commented on issue #17306: grouping large vector tests based on
their type and adding their nightly test function
URL: https://github.com/apache/incubator-mxnet/pull/17306#issuecomment-574322969
@mxnet-label-bot add [pr-awaiting-review]
access2rohit opened a new pull request #17306: grouping large vector tests
based on their type and adding their nightly test function
URL: https://github.com/apache/incubator-mxnet/pull/17306
Grouped large vector tests for large tensor support into 4:
creation
manipulation
dnn_ops
ptrendx commented on issue #17278: [Performance] CachedOp/Gluon performance
thread
URL:
https://github.com/apache/incubator-mxnet/issues/17278#issuecomment-574321205
There are a few performance issues that we saw in `CachedOp` compared to
graph executor.
-
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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:
new 9189d46 Bump the
ptrendx commented on issue #17303: New Basic Layer "nn.bias_add"
URL:
https://github.com/apache/incubator-mxnet/issues/17303#issuecomment-574316444
You should be able to use `broadcast_add` there, no?
This is an automated
access2rohit commented on issue #17305: grouping large array tests based on
type and updating nightly CI funtion
URL: https://github.com/apache/incubator-mxnet/pull/17305#issuecomment-574315357
@apeforest @ChaiBapchya PR is ready for review
access2rohit commented on issue #17305: grouping large array tests based on
type and updating nightly CI funtion
URL: https://github.com/apache/incubator-mxnet/pull/17305#issuecomment-574315071
@mxnet-label-bot add [pr_awaiting-review]
access2rohit edited a comment on issue #17305: grouping large array tests based
on type and updating nightly CI funtion
URL: https://github.com/apache/incubator-mxnet/pull/17305#issuecomment-574315071
@mxnet-label-bot add [pr-awaiting-review]
reminisce opened a new issue #17304: [flaky]
URL: https://github.com/apache/incubator-mxnet/issues/17304
```
==
FAIL: test_higher_order_grad.test_tanh
access2rohit opened a new pull request #17305: grouping large array tests based
on type and updating nightly CI funtion
URL: https://github.com/apache/incubator-mxnet/pull/17305
## Description ##
Grouped Large Array tests for large tensor support into 4:
creation
manipulation
leezu commented on issue #17275: CosineEmbeddingLoss won't work after hybridize
(ie. with symbol API)
URL:
https://github.com/apache/incubator-mxnet/issues/17275#issuecomment-574306610
If you think it's required to change line 925, 926, 927 above to use tuple
`(-1, 1)` please create a
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lausen pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 3971938 Fix #17267, add expected and got datatype for concat error
msgs (#17271)
add 9f2e73f
leezu merged pull request #17228: Support R-package with cmake build and fix
installation instructions
URL: https://github.com/apache/incubator-mxnet/pull/17228
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leezu closed issue #17103: R installation instructions out of date
URL: https://github.com/apache/incubator-mxnet/issues/17103
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haibin pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 058de55 Fix image display in python autograd tutorial (#17243)
add 3971938 Fix #17267, add expected
eric-haibin-lin commented on issue #17271: Fix #17267, add expected and got
datatype for concat error msgs
URL: https://github.com/apache/incubator-mxnet/pull/17271#issuecomment-574297555
Great. Thansk for the fix! @litaotju
eric-haibin-lin closed issue #17267: Unclear error message in np.dstack
URL: https://github.com/apache/incubator-mxnet/issues/17267
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eric-haibin-lin merged pull request #17271: Fix #17267, add expected and got
datatype for concat error msgs
URL: https://github.com/apache/incubator-mxnet/pull/17271
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dithyrambe commented on issue #17275: CosineEmbeddingLoss won't work after
hybridize (ie. with symbol API)
URL:
https://github.com/apache/incubator-mxnet/issues/17275#issuecomment-574267259
Nice,
I guess the issue is solved then.
What about the fix ?
Regards
leezu commented on issue #17181: Fail to build mxnet from source
URL:
https://github.com/apache/incubator-mxnet/issues/17181#issuecomment-574248904
@apeforest @mjsML please provide the output of your `cmake` commands.
It's unclear whether MKL is found during your compilation attempt
xidulu commented on a change in pull request #17302: [numpy]add op
random.logistic
URL: https://github.com/apache/incubator-mxnet/pull/17302#discussion_r366410192
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File path: tests/python/unittest/test_numpy_op.py
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@@ -3325,15 +3363,15 @@ def hybrid_forward(self, F,
TaoLv commented on a change in pull request #17170: add mkldnn softmax backward
URL: https://github.com/apache/incubator-mxnet/pull/17170#discussion_r366408821
##
File path: src/operator/nn/mkldnn/mkldnn_softmax.cc
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@@ -131,6 +143,80 @@ void MKLDNNSoftmaxForward(const
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