hyxie6 opened a new pull request #7699: Fix bug in rpn.py
URL: https://github.com/apache/incubator-mxnet/pull/7699
logger.level = loggin.INFO by default, which can harm the performance when
trained using default setting.
piiswrong commented on a change in pull request #7698: Refactor Autograd
backward
URL: https://github.com/apache/incubator-mxnet/pull/7698#discussion_r136499398
##
File path: include/mxnet/ndarray.h
##
@@ -875,8 +860,10 @@ class NDArray {
size_t byte_offset_ = 0;
eric-haibin-lin commented on a change in pull request #7698: Refactor Autograd
backward
URL: https://github.com/apache/incubator-mxnet/pull/7698#discussion_r136497709
##
File path: include/mxnet/ndarray.h
##
@@ -875,8 +860,10 @@ class NDArray {
size_t byte_offset_ = 0;
universewill commented on issue #6142: Does anyone have pretrained
inception-resnet-v2 model?
URL:
https://github.com/apache/incubator-mxnet/issues/6142#issuecomment-326480403
I am also looking for inception-v4 and inception-resnet-v2, does anyone have
them?
piiswrong opened a new pull request #7698: Refactor Autograd backward
URL: https://github.com/apache/incubator-mxnet/pull/7698
This is an automated message from the Apache Git Service.
To respond to the message, please log
universewill opened a new issue #7697: can not find pretrained model of
inception-v4 and inception-resnet-v2 in model zoo.
URL: https://github.com/apache/incubator-mxnet/issues/7697
i need pretrained model of inception-v4 and inception-resnet-v2 , but i can
not find them in model zoo. I
zzningxp commented on issue #2027: [lib/libmxnet.so] Error installing mxnet for
EI Capitan 10.11.4
URL:
https://github.com/apache/incubator-mxnet/issues/2027#issuecomment-326478495
I ran into the same issue with Macbook Pro late 2015, 10.12.3 Sierra, gcc-7.
I believe that the issue
piiswrong closed pull request #7694: [R] fix Jenkins R testing.
URL: https://github.com/apache/incubator-mxnet/pull/7694
This is an automated message from the Apache Git Service.
To respond to the message, please log on
This is an automated email from the ASF dual-hosted git repository.
jxie 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 93cd017 [R] fix Jenkins R testing.
This is an automated email from the ASF dual-hosted git repository.
jxie 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 7835864 [WIP] support autograd with
This is an automated email from the ASF dual-hosted git repository.
jxie 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 31f27d6 Fix unit test for test_loss.py
CodingCat opened a new pull request #7696: [scala-package] fix the bug in
parent section of pom files
URL: https://github.com/apache/incubator-mxnet/pull/7696
Sorry for introducing this bug several weeks ago
Actually, Maven cannot parse any variable in parent section
I have
piiswrong commented on issue #7690: Change gluon link
URL: https://github.com/apache/incubator-mxnet/pull/7690#issuecomment-326461229
Can we change this to .. Gluon: style node?
This is an automated message from the Apache
szha commented on issue #7692: Fixed Embedding Layer on Gluon
URL:
https://github.com/apache/incubator-mxnet/issues/7692#issuecomment-326458830
Or you can do the dot and addition yourself with the fixed weight matrix.
This
szha commented on issue #7692: Fixed Embedding Layer on Gluon
URL:
https://github.com/apache/incubator-mxnet/issues/7692#issuecomment-326458646
```python
layer = Dense(10)
layer.weight.lr_mult=0
```
This is an
astonzhang commented on a change in pull request #7678: Clean amalgamation ws
and skip failing test
URL: https://github.com/apache/incubator-mxnet/pull/7678#discussion_r136480471
##
File path: tests/python/unittest/test_loss.py
##
@@ -63,6 +63,9 @@ def
thirdwing opened a new pull request #7694: [R] fix Jenkins R testing.
URL: https://github.com/apache/incubator-mxnet/pull/7694
Please don't merge too quick. I need some time to confirm I didn't break
anything.
This is an
astonzhang commented on issue #7677: Issue with Loss function
URL:
https://github.com/apache/incubator-mxnet/issues/7677#issuecomment-326457219
Thank you @sandeep-krishnamurthy
The separate PR is now available in #7693
astonzhang commented on issue #7659: Gluon trainer updates: add learning_rate
and lr_scheduler properties and add setter for learning rate
URL: https://github.com/apache/incubator-mxnet/pull/7659#issuecomment-326456981
The unit test patch is in a separate pr as suggested by @piiswrong
astonzhang commented on a change in pull request #7659: Gluon trainer updates:
add learning_rate and lr_scheduler properties and add setter for learning rate,
and patch for issues of hard to pass L1loss unittest
URL: https://github.com/apache/incubator-mxnet/pull/7659#discussion_r136479468
rravu3 opened a new issue #7692: Fixed Embedding Layer on Gluon
URL: https://github.com/apache/incubator-mxnet/issues/7692
Is there a way to declare a Layer(Block) to be constant and not be updated
during training?
The only way I see it as of now is to create my own layer and not add
astonzhang closed pull request #7691: Unit test patch
URL: https://github.com/apache/incubator-mxnet/pull/7691
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and
astonzhang opened a new pull request #7691: Unit test patch
URL: https://github.com/apache/incubator-mxnet/pull/7691
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub
sandeep-krishnamurthy opened a new issue #7675: [Jenkins CI] Broken R Unit test
during build
URL: https://github.com/apache/incubator-mxnet/issues/7675
@thirdwing
R GPU unit tests are failing more frequently on the master branch. Can you
please take a look at this?
Example
sandeep-krishnamurthy commented on issue #7675: [Jenkins CI] Broken R Unit test
during build
URL:
https://github.com/apache/incubator-mxnet/issues/7675#issuecomment-326454909
This is causing a new issue. All master builds are failing. Can we relook at
it? @thirdwing
astonzhang opened a new pull request #7689: Unit test patch
URL: https://github.com/apache/incubator-mxnet/pull/7689
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub
eric-haibin-lin commented on issue #7656: [WIP] CSRNDArray Tutorial
URL: https://github.com/apache/incubator-mxnet/pull/7656#issuecomment-326444818
Updated the tutorial with runnable example for data iterators.
This is an
eric-haibin-lin commented on issue #7688: [WIP] update doc for sparse related
APIs
URL: https://github.com/apache/incubator-mxnet/pull/7688#issuecomment-326435330
@anirudh2290 @rahul003 @reminisce
This is an automated
eric-haibin-lin opened a new pull request #7688: [WIP] update doc for sparse
related APIs
URL: https://github.com/apache/incubator-mxnet/pull/7688
- update NDArrayIter API doc with CSRNDArray inputs
- update document for kv.init, kv.push
- add test for #7676
jiecaoyu commented on issue #5460: very low training accuracies with alexnet or
vgg but good with resnet
URL:
https://github.com/apache/incubator-mxnet/issues/5460#issuecomment-326431931
Using pytorch but has the same problem. Changing the initial lr to 0.01 can
probably fix the problem.
eric-haibin-lin commented on issue #7676: Add more gpu tests and fix nested try
catch in Imperative Invoke
URL: https://github.com/apache/incubator-mxnet/pull/7676#issuecomment-326428539
will do
This is an automated
mli commented on issue #7676: Add more gpu tests and fix nested try catch in
Imperative Invoke
URL: https://github.com/apache/incubator-mxnet/pull/7676#issuecomment-326428196
can you write a test case to avoid this case?
This is an automated email from the ASF dual-hosted git repository.
jxie 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 6d71577 Fix shape inference bug (#7682)
piiswrong closed pull request #7682: Fix shape inference bug
URL: https://github.com/apache/incubator-mxnet/pull/7682
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub
This is an automated email from the ASF dual-hosted git repository.
skm 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 0d294dd [R] update Makefile. close #7675
sandeep-krishnamurthy closed issue #7675: [Jenkins CI] Broken R Unit test
during build
URL: https://github.com/apache/incubator-mxnet/issues/7675
This is an automated message from the Apache Git Service.
To respond to the
szha commented on issue #7390: adding ranking metrics (precision/recall) at
position K.
URL: https://github.com/apache/incubator-mxnet/pull/7390#issuecomment-326396710
Not necessarily. You can compute and bind the update function based on the
type of metric in the constructor, since
nikrao commented on issue #7390: adding ranking metrics (precision/recall) at
position K.
URL: https://github.com/apache/incubator-mxnet/pull/7390#issuecomment-326394318
@eric-haibin-lin @szha I think it's better to have them separate. In many
occasions you might use them together, but
zqkhan opened a new issue #7687: dec (in examples) fails for 2 cluster
URL: https://github.com/apache/incubator-mxnet/issues/7687
For bugs or installation issues, please provide the following information.
The more information you provide, the more likely people will be able to
help you.
eric-haibin-lin commented on issue #7390: adding ranking metrics
(precision/recall) at position K.
URL: https://github.com/apache/incubator-mxnet/pull/7390#issuecomment-326382105
@nikrao It is fair to assume that usually precision and recall are used
together? Do you think it's better
szha commented on issue #7659: Gluon trainer updates: add learning_rate and
lr_scheduler properties and add setter for learning rate, and patch for issues
of hard to pass L1loss unittest
URL: https://github.com/apache/incubator-mxnet/pull/7659#issuecomment-326376129
All tests passed
thirdwing commented on issue #7686: [R] update Makefile. close #7675
URL: https://github.com/apache/incubator-mxnet/pull/7686#issuecomment-326373258
As @sandeep-krishnamurthy pointed out, we might some problems like
madjam commented on issue #7686: [R] update Makefile. close #7675
URL: https://github.com/apache/incubator-mxnet/pull/7686#issuecomment-326367550
@thirdwing what was the issue here?
This is an automated message from the
szha commented on issue #7683: How can I debug mxnet?
URL:
https://github.com/apache/incubator-mxnet/issues/7683#issuecomment-326367470
@mxmxlwlw what would you describe as elegant? IDE integration?
This is an automated
thirdwing opened a new pull request #7686: [R] update Makefile. close #7675
URL: https://github.com/apache/incubator-mxnet/pull/7686
This is an automated message from the Apache Git Service.
To respond to the message,
alexandraj777 commented on issue #7673: Update docs/README link and folder name
URL: https://github.com/apache/incubator-mxnet/pull/7673#issuecomment-326357955
Thanks for reviewing @piiswrong!
This is an automated message
jeremiedb commented on issue #7476: R-package RNN refactor
URL: https://github.com/apache/incubator-mxnet/pull/7476#issuecomment-326354740
@thirdwing I'm out for 10 days, I'll try to put my hands a computer by then
but it may take a few days.
sandeep-krishnamurthy commented on issue #7675: [Jenkins CI] Broken R Unit test
during build
URL:
https://github.com/apache/incubator-mxnet/issues/7675#issuecomment-326352938
@thirdwing Can we work on the fix to this soon? This issue is causing more
frequent build failures.
sandeep-krishnamurthy commented on issue #7677: Issue with Loss function
URL:
https://github.com/apache/incubator-mxnet/issues/7677#issuecomment-326352196
Thanks @astonzhang Can we get this fix to the test go ahead in separate PR
ASAP so that we recover from failing builds?
Thanks for
goodtogood commented on issue #6297: warpctc run sample error
URL:
https://github.com/apache/incubator-mxnet/issues/6297#issuecomment-326352048
same problem.
This is an automated message from the Apache Git Service.
To
alexandraj777 commented on a change in pull request #7673: Update docs/README
link and folder name
URL: https://github.com/apache/incubator-mxnet/pull/7673#discussion_r136378068
##
File path: docs/build_version_doc/build_all_version.sh
##
@@ -24,7 +24,7 @@
ptrendx opened a new pull request #7685: Fix for hang in depthwise convolution
for CUDA 9
URL: https://github.com/apache/incubator-mxnet/pull/7685
This is an automated message from the Apache Git Service.
To respond to the
mxmxlwlw commented on issue #7683: How can I debug mxnet?
URL:
https://github.com/apache/incubator-mxnet/issues/7683#issuecomment-326232607
@szha Yes, that's how I do this now. So there's no elegant way to do this?
Because I want to debug every function in the mxnet.
mxmxlwlw commented on issue #7683: How can I debug mxnet?
URL:
https://github.com/apache/incubator-mxnet/issues/7683#issuecomment-326232607
Yes, that's how I do this now. So there's no elegant way to do this? Because
I want to debug every function in the mxnet.
liuzhi136 opened a new issue #7684: Python3.5 MXNet doesn't execute for loop??
URL: https://github.com/apache/incubator-mxnet/issues/7684
I try to follow The Custom Iterator section's code in the tutorial page at
https://mxnet.incubator.apache.org/tutorials/basic/data.html. But I found
DamonDeng commented on issue #4746: ImportError for mxnet: cannot import name
libinfo
URL:
https://github.com/apache/incubator-mxnet/issues/4746#issuecomment-326216878
One of the reason for this issue is that you run the python command in the
exact directory you install MXNet.
Say
DamonDeng commented on issue #4794: ImportError for mxnet: cannot import name
libinfo
URL:
https://github.com/apache/incubator-mxnet/issues/4794#issuecomment-326217436
duplicate with #4746 .
My comment in #4746
One of the reason for this issue is that you run the python
szha commented on issue #7683: How can I debug mxnet?
URL:
https://github.com/apache/incubator-mxnet/issues/7683#issuecomment-326219694
DEBUG flag in make config, and gdb
This is an automated message from the Apache Git
DamonDeng commented on issue #4794: ImportError for mxnet: cannot import name
libinfo
URL:
https://github.com/apache/incubator-mxnet/issues/4794#issuecomment-326217436
duplicate with #4746 .
My comment in #4746
One of the reason for this issue is that you run the python
DamonDeng commented on issue #4794: ImportError for mxnet: cannot import name
libinfo
URL:
https://github.com/apache/incubator-mxnet/issues/4794#issuecomment-326217436
duplicate with #4746 .
My comment in #4746
One of the reason for this issue is that you run the python
DamonDeng commented on issue #4746: ImportError for mxnet: cannot import name
libinfo
URL:
https://github.com/apache/incubator-mxnet/issues/4746#issuecomment-326216878
One of the reason for this issue is that you run the python command in the
exact directory you install MXNet.
Say
DamonDeng commented on issue #4746: ImportError for mxnet: cannot import name
libinfo
URL:
https://github.com/apache/incubator-mxnet/issues/4746#issuecomment-326216878
One of the reason for this that you run the python command in the exact
directory you install MXNet.
Say that you
mxmxlwlw opened a new issue #7683: How can I debug mxnet?
URL: https://github.com/apache/incubator-mxnet/issues/7683
Hi, I want to debug mxnet, and I use mxnet in python. How can I smoothly
debug mxnet and its submodule nnvm?
luoyetx commented on issue #7057: Python CustomOp with parameter failed when
call infer_shape_entry in operator.py
URL:
https://github.com/apache/incubator-mxnet/issues/7057#issuecomment-326211510
f
This is an automated
luoyetx commented on issue #7057: Python CustomOp with parameter failed when
call infer_shape_entry in operator.py
URL:
https://github.com/apache/incubator-mxnet/issues/7057#issuecomment-326211510
f
This is an automated
reminisce opened a new pull request #7682: Fix shape inference bug
URL: https://github.com/apache/incubator-mxnet/pull/7682
This PR fixes a shape inference bug in function `InferAttr`.
Consider the following network:
```
weight --> abs_op --> sum_op
DamonDeng commented on issue #7653: ipython, The kernel appears to have died.
It will restart automatically.
URL:
https://github.com/apache/incubator-mxnet/issues/7653#issuecomment-326203364
Dear,
Would you please share more information of the code you run?
I have tested the
DamonDeng commented on issue #7653: ipython, The kernel appears to have died.
It will restart automatically.
URL:
https://github.com/apache/incubator-mxnet/issues/7653#issuecomment-326203364
Dear,
Would you please share more information of the code you run?
I have tested the
piiswrong commented on issue #7617: Fix memory leak in profiler
URL: https://github.com/apache/incubator-mxnet/pull/7617#issuecomment-326200854
This isn't compiling
This is an automated message from the Apache Git Service.
piiswrong commented on a change in pull request #7673: Update docs/README link
and folder name
URL: https://github.com/apache/incubator-mxnet/pull/7673#discussion_r136252802
##
File path: docs/build_version_doc/build_all_version.sh
##
@@ -24,7 +24,7 @@
This is an automated email from the ASF dual-hosted git repository.
jxie 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 4562ddd Update docs/README link and
piiswrong closed pull request #7673: Update docs/README link and folder name
URL: https://github.com/apache/incubator-mxnet/pull/7673
This is an automated message from the Apache Git Service.
To respond to the message,
piiswrong closed pull request #7670: update log epsilons to 1e-12
URL: https://github.com/apache/incubator-mxnet/pull/7670
This is an automated message from the Apache Git Service.
To respond to the message, please log on
This is an automated email from the ASF dual-hosted git repository.
jxie 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 f9a97ca Add more gpu tests and fix
piiswrong closed pull request #7676: Add more gpu tests and fix nested try
catch in Imperative Invoke
URL: https://github.com/apache/incubator-mxnet/pull/7676
This is an automated message from the Apache Git Service.
To
75 matches
Mail list logo