reminisce commented on issue #9552: [REQUEST FOR REVIEW | DO NOT MERGE] Model
Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#issuecomment-370205130
@wentingj Yes, I noticed that too. I think there is still value of doing
this. We can always keep
thinksanky commented on issue #55: Fixing 404 issue caused due to missing
how_to directory
URL:
https://github.com/apache/incubator-mxnet-site/pull/55#issuecomment-370204760
@yzhliu
This is an automated message from the
thinksanky opened a new pull request #55: Fixing 404 issue caused due to
missing how_to directory
URL: https://github.com/apache/incubator-mxnet-site/pull/55
## Description ##
* Added the how_to folder with all the missing files and redirected to
faq/.
* Example redirection -
reminisce commented on a change in pull request #9887: Non-blocking
row_sparse_pull
URL: https://github.com/apache/incubator-mxnet/pull/9887#discussion_r172038187
##
File path: tests/python/unittest/test_kvstore.py
##
@@ -76,7 +76,7 @@ def check_row_sparse_pull(kv,
reminisce commented on a change in pull request #9981: [fix issue#9976] The
assignment problem in NDArray
URL: https://github.com/apache/incubator-mxnet/pull/9981#discussion_r172037661
##
File path: tests/python/unittest/test_ndarray.py
##
@@ -1099,6 +1099,39 @@ def
reminisce commented on a change in pull request #9981: [fix issue#9976] The
assignment problem in NDArray
URL: https://github.com/apache/incubator-mxnet/pull/9981#discussion_r172037688
##
File path: tests/python/unittest/test_ndarray.py
##
@@ -1099,6 +1099,39 @@ def
reminisce commented on a change in pull request #9981: [fix issue#9976] The
assignment problem in NDArray
URL: https://github.com/apache/incubator-mxnet/pull/9981#discussion_r172037698
##
File path: tests/python/unittest/test_ndarray.py
##
@@ -1099,6 +1099,39 @@ def
Feywell commented on issue #9572: Return a NaN when using operator ( ** ) on
Windows version with GPU
URL:
https://github.com/apache/incubator-mxnet/issues/9572#issuecomment-370198874
@cgraywang I find the issue still exist.
I upgraded the mxnet-cu80 windows version to
>
wkcn commented on a change in pull request #9939: add multi proposal operator
(cpu version) and fix the bug in proposal op (gpu version)
URL: https://github.com/apache/incubator-mxnet/pull/9939#discussion_r172035107
##
File path: src/operator/contrib/proposal.cu
##
@@
precedenceguo commented on a change in pull request #9939: add multi proposal
operator (cpu version) and fix the bug in proposal op (gpu version)
URL: https://github.com/apache/incubator-mxnet/pull/9939#discussion_r172034936
##
File path: src/operator/contrib/proposal.cu
precedenceguo commented on a change in pull request #9939: add multi proposal
operator (cpu version) and fix the bug in proposal op (gpu version)
URL: https://github.com/apache/incubator-mxnet/pull/9939#discussion_r172034936
##
File path: src/operator/contrib/proposal.cu
wentingj commented on issue #9552: [REQUEST FOR REVIEW | DO NOT MERGE] Model
Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#issuecomment-370193815
@reminisce But MKLDNN int8 kernel has some performance benefit. Besides, If
we fuse conv and relu into
eric-haibin-lin opened a new pull request #9983: [WIP] language model with
google's billion words dataset
URL: https://github.com/apache/incubator-mxnet/pull/9983
## Description ##
Reproduced LSTMP 2048-512 baseline, achieving test ppl ~42 in
https://arxiv.org/pdf/1602.02410.pdf
marcoabreu commented on issue #9975: revert DiagrammeR compatibility to 0.9.0
URL: https://github.com/apache/incubator-mxnet/pull/9975#issuecomment-370187701
Is this still compatible with 1.0.0?
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ShownX commented on issue #9405: BucketingModule causes uncaught exception if
symbol name not specified
URL:
https://github.com/apache/incubator-mxnet/issues/9405#issuecomment-370181587
Facing the same problem. However, in Gluon, it cannot define a name
szha closed pull request #9633: Gluon image-classification example improvement
URL: https://github.com/apache/incubator-mxnet/pull/9633
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zhasheng pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/master by this push:
new 8780096 Gluon image-classification
CoinCheung commented on issue #9978: Error with random generator
URL:
https://github.com/apache/incubator-mxnet/issues/9978#issuecomment-370145440
@asitstands
Ah, I see. Thanks a lot. I think this issue can be closed now.
CoinCheung closed issue #9978: Error with random generator
URL: https://github.com/apache/incubator-mxnet/issues/9978
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haibin pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/master by this push:
new dedfd2d sparse regression operators
eric-haibin-lin closed pull request #9625: sparse regression operators
URL: https://github.com/apache/incubator-mxnet/pull/9625
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marcoabreu commented on issue #9981: [fix issue#9976] The assignment problem in
NDArray
URL: https://github.com/apache/incubator-mxnet/pull/9981#issuecomment-370141962
@piiswrong
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asitstands commented on issue #9978: Error with random generator
URL:
https://github.com/apache/incubator-mxnet/issues/9978#issuecomment-370140101
@CoinCheung That is the usual way that pseudo random number generators work.
They generate a sequence of pseudo random numbers. So each call
asitstands commented on issue #9978: Error with random generator
URL:
https://github.com/apache/incubator-mxnet/issues/9978#issuecomment-370140101
@CoinCheung That is the usual way that pseudo random number generators work.
They generate a sequence of pseudo random numbers. So each call
asitstands commented on issue #9978: Error with random generator
URL:
https://github.com/apache/incubator-mxnet/issues/9978#issuecomment-370140101
@CoinCheung That is the usual way that pseudo random number generators work.
They generate a sequence of pseudo random numbers. So each call
asitstands commented on issue #9978: Error with random generator
URL:
https://github.com/apache/incubator-mxnet/issues/9978#issuecomment-370140101
@CoinCheung That is the usual way that pseudo random number generators work.
They generate a sequence of pseudo random numbers. So each call
dma100180 commented on issue #4527: MXNet for R on Windows installation fails
due to latest update in DiagremmeR
URL:
https://github.com/apache/incubator-mxnet/issues/4527#issuecomment-370139374
Hello, everything was fine with MXNET and an update has caused me to change
the diagrammer.
wkcn commented on issue #9981: [fix issue#9976] The assignment problem in
NDArray
URL: https://github.com/apache/incubator-mxnet/pull/9981#issuecomment-370139225
@marcoabreu Yes, I will add it soon :)
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marcoabreu commented on issue #9981: [fix issue#9976] The assignment problem in
NDArray
URL: https://github.com/apache/incubator-mxnet/pull/9981#issuecomment-370138765
Hello, could you please add a test for this case?
This
CoinCheung commented on issue #9978: Error with random generator
URL:
https://github.com/apache/incubator-mxnet/issues/9978#issuecomment-370138600
@asitstands
Then why it changes when I run it in my command line?
```
$ python
>>> import mxnet as mx
>>> import
mseeger commented on issue #9982: Unary ops logcdf_normal, derivlogcdf_normal
for log CDF of standard n?
URL: https://github.com/apache/incubator-mxnet/pull/9982#issuecomment-370138558
Sorry, this is just #9961 reopened, I deleted the remote branch.
mseeger opened a new pull request #9982: Unary ops logcdf_normal,
derivlogcdf_normal for log CDF of standard n?
URL: https://github.com/apache/incubator-mxnet/pull/9982
?ormal
* New unary ops
* Improved unit tests for basic unary, binary ops
## Description ##
(Brief
mseeger closed pull request #9961: Unary ops norm_logcdf, norm_derivlogcdf for
log CDF of standard normal
URL: https://github.com/apache/incubator-mxnet/pull/9961
This is a PR merged from a forked repository.
As GitHub hides the original diff on merge, it is displayed below for
the sake
wkcn commented on issue #9939: add multi proposal operator (cpu version) and
fix the bug in proposal op (gpu version)
URL: https://github.com/apache/incubator-mxnet/pull/9939#issuecomment-369813766
@pengzhao-intel Thank you! I will have a try.
~~I use `#pragma omp paraller for` for
wkcn commented on issue #9939: add multi proposal operator (cpu version) and
fix the bug in proposal op (gpu version)
URL: https://github.com/apache/incubator-mxnet/pull/9939#issuecomment-370133350
@pengzhao-intel Here is the testing code.
wkcn commented on issue #9939: add multi proposal operator (cpu version) and
fix the bug in proposal op (gpu version)
URL: https://github.com/apache/incubator-mxnet/pull/9939#issuecomment-370133350
@pengzhao-intel Here is the testing code.
wkcn opened a new pull request #9981: [fix issue#9976] The assignment problem
in NDArray
URL: https://github.com/apache/incubator-mxnet/pull/9981
## Description ##
Fix issue[#9976](https://github.com/apache/incubator-mxnet/issues/9976)
```python
>>> a =
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