This is an automated email from the ASF dual-hosted git repository.
marcoabreu 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 5f38c27 Bump the publish
Chouffe commented on issue #15023: Extend Clojure BERT example
URL: https://github.com/apache/incubator-mxnet/pull/15023#issuecomment-498972117
Will take a look this week @kedarbellare. Thanks for your contribution
@daveliepmann :)
I am looking forward to reviewing it!
pengzhao-intel commented on issue #15108: The test time of the model on GPU is
normal, but the test time on CPU is very long.
URL:
https://github.com/apache/incubator-mxnet/issues/15108#issuecomment-498975741
Got it. It's interesting that the runtime is very different.
Does the
kshitij12345 commented on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-498950371
> So are you saying that by chain rule, the node is ograd(of log) * d
(log(x)) / dx = ograd * reciprocal?
Following the unary_bwd
inglada commented on issue #12849: [cmake][cpp-package] Building with cmake
does not install the cpp-package API
URL:
https://github.com/apache/incubator-mxnet/issues/12849#issuecomment-498963118
@leleamol I did not go further on this. Since "make install" does not
install the C++
roywei opened a new pull request #15156: fix kvstore nightly failure
URL: https://github.com/apache/incubator-mxnet/pull/15156
## Description ##
See analysis in issue:
https://github.com/apache/incubator-mxnet/issues/15152
Talked to @eric-haibin-li, it seems to fail on CI
david-seiler commented on issue #15147: Python test failures under windows now
report the exit code
URL: https://github.com/apache/incubator-mxnet/pull/15147#issuecomment-498984022
> @david-seiler Thanks for your contributions. Could you look into the CI
failure on windows-gpu ?
>
Chancebair commented on issue #15152: [CI][nightly] nightly test tutorial
failure: test_tutorials.test_python_kvstore
URL:
https://github.com/apache/incubator-mxnet/issues/15152#issuecomment-498987793
Looking through this. Probably not the cause but worth mentioning we use
P3.2xLarge
moneypi opened a new issue #15157: How to print data of NDArray in c++？
URL: https://github.com/apache/incubator-mxnet/issues/15157
Maybe I have the similar question with
https://github.com/apache/incubator-mxnet/issues/3125,
I learn the source code
xianyujie commented on issue #15108: The test time of the model on GPU is
normal, but the test time on CPU is very long.
URL:
https://github.com/apache/incubator-mxnet/issues/15108#issuecomment-499012789
@pengzhao-intel Yeah, I've tested it many times. Here is my test file link:
xianyujie commented on issue #15108: The test time of the model on GPU is
normal, but the test time on CPU is very long.
URL:
https://github.com/apache/incubator-mxnet/issues/15108#issuecomment-499014301
I've saved the pre_output1, the pre_output2, the conv1_weight, and the
conv2_weight
wkcn merged pull request #15153: [DOC] Add clarification to
MXNET_CPU_WORKER_NTHREADS
URL: https://github.com/apache/incubator-mxnet/pull/15153
This is an automated message from the Apache Git Service.
To respond to the
This is an automated email from the ASF dual-hosted git repository.
wkcn 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 c474f5f Update env_var.md (#15153)
wkcn commented on issue #15153: [DOC] Add clarification to
MXNET_CPU_WORKER_NTHREADS
URL: https://github.com/apache/incubator-mxnet/pull/15153#issuecomment-499052759
Thank you for the update : )
This is an automated message
This is an automated email from the ASF dual-hosted git repository.
zhasheng pushed a commit to branch v1.4.x
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/v1.4.x by this push:
new b241c41 Backporting the fix to
abhinavs95 edited a comment on issue #14373: Passing parameters to HybridBlocks
and not using them
URL:
https://github.com/apache/incubator-mxnet/issues/14373#issuecomment-499224791
@mxnet-label-bot add [pending requester info]
apeforest commented on a change in pull request #15120: [bug] fix higher grad
log
URL: https://github.com/apache/incubator-mxnet/pull/15120#discussion_r290902765
##
File path: tests/python/unittest/test_higher_order_grad.py
##
@@ -27,52 +27,79 @@ def test_log():
def
apeforest commented on a change in pull request #15120: [bug] fix higher grad
log
URL: https://github.com/apache/incubator-mxnet/pull/15120#discussion_r290902895
##
File path: tests/python/unittest/test_higher_order_grad.py
##
@@ -27,52 +27,79 @@ def test_log():
def
larroy commented on a change in pull request #14613: [MXNET-978] Higher order
gradient support for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#discussion_r290913262
##
File path: src/operator/tensor/elemwise_unary_op_trig.cc
##
@@ -46,7
apeforest edited a comment on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-499192329
I did some more probing. I think the reason that head_grads.grad being all
zeros is the variable head_grads was not specified during the
leleamol commented on issue #15157: How to print data of NDArray in c++？
URL:
https://github.com/apache/incubator-mxnet/issues/15157#issuecomment-499195722
@moneypi
You can use the overloaded operator "<<" of mxnet::cpp::NDArray object as
follows:
`
NDArray image_data =
larroy commented on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-499200579
@apeforest see my reply above, head_grads is not in the graph so it's not
updated during backward
piyushghai commented on issue #15156: fix kvstore nightly failure
URL: https://github.com/apache/incubator-mxnet/pull/15156#issuecomment-499204592
@mxnet-label-bot Add [pr-awaiting-review, KVStore]
This is an automated
apeforest commented on a change in pull request #15120: [bug] fix higher grad
log
URL: https://github.com/apache/incubator-mxnet/pull/15120#discussion_r290902233
##
File path: tests/python/unittest/test_higher_order_grad.py
##
@@ -27,52 +27,79 @@ def test_log():
def
apeforest commented on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-499192329
I did some more probing. I think the reason that head_grads.grad being all
zeros is the variable head_grads was not specified during the second
apeforest edited a comment on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-499192329
I did some more probing. I think the reason that head_grads.grad being all
zeros is the variable head_grads was not specified during the
abhinavs95 commented on issue #14373: Passing parameters to HybridBlocks and
not using them
URL:
https://github.com/apache/incubator-mxnet/issues/14373#issuecomment-499224791
@mxnet-label-bot add [pending-requester-info]
apeforest edited a comment on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-499170409
@kshitij12345 I have some question about the equation `expected_head_grad =
(grad_op(x) * head_grad_grads).asnumpy()` in your test.
roywei commented on issue #15156: fix kvstore nightly failure
URL: https://github.com/apache/incubator-mxnet/pull/15156#issuecomment-499193892
root cause is GPU changed from 2 to 1. I mistook the instance type used in
CI. see updates in
larroy commented on a change in pull request #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#discussion_r290873336
##
File path: tests/python/unittest/test_higher_order_grad.py
##
@@ -27,52 +27,79 @@ def test_log():
def
apeforest commented on issue #14613: [MXNET-978] Higher order gradient support
for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#issuecomment-499198547
Ping @aidan-plenert-macdonald for review
apeforest edited a comment on issue #14613: [MXNET-978] Higher order gradient
support for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#issuecomment-499172139
@kshitij12345 I updated the test locally and it also fails with sin(x) and
cos(x) as well with
apeforest commented on a change in pull request #14613: [MXNET-978] Higher
order gradient support for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#discussion_r290914583
##
File path: tests/python/unittest/test_higher_order_grad.py
##
@@
apeforest commented on a change in pull request #14613: [MXNET-978] Higher
order gradient support for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#discussion_r290914409
##
File path: src/operator/tensor/elemwise_unary_op_trig.cc
##
@@
apeforest commented on a change in pull request #14613: [MXNET-978] Higher
order gradient support for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#discussion_r290913893
##
File path: src/operator/tensor/elemwise_unary_op_basic.cc
##
@@
larroy commented on a change in pull request #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#discussion_r290873336
##
File path: tests/python/unittest/test_higher_order_grad.py
##
@@ -27,52 +27,79 @@ def test_log():
def
This is an automated email from the ASF dual-hosted git repository.
marcoabreu 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 76e91ab Bump the publish
apeforest commented on issue #14613: [MXNET-978] Higher order gradient support
for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#issuecomment-499172139
@kshitij12345 I updated the test locally and it also fails with sin(x) and
cos(x) as well with the same
szha merged pull request #15154: [MXNET-1412] Backporting the fix to v1.4.x
branch to prevent the crash in naive engine
URL: https://github.com/apache/incubator-mxnet/pull/15154
This is an automated message from the Apache
roywei commented on issue #15152: [CI][nightly] nightly test tutorial failure:
test_tutorials.test_python_kvstore
URL:
https://github.com/apache/incubator-mxnet/issues/15152#issuecomment-499193612
root cause is num of GPUs changed from 2 to 1. `NODE_LINUX_GPU` is G3.8x
wiht 2 GPUs and
apeforest edited a comment on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-499170409
@kshitij12345 I have some question about the equation `expected_head_grad =
(grad_op(x) * head_grad_grads).asnumpy()` in your test.
leezu commented on issue #14073: Fp16 support for layernorm
URL:
https://github.com/apache/incubator-mxnet/issues/14073#issuecomment-499130066
This can probably be closed as
https://github.com/apache/incubator-mxnet/pull/15002 is merged
larroy commented on a change in pull request #14836: [Don't merge][Don't
review] Refactor AGInfo and Imperative
URL: https://github.com/apache/incubator-mxnet/pull/14836#discussion_r290879946
##
File path: include/mxnet/imperative.h
##
@@ -35,48 +35,53 @@
#include
roywei commented on issue #15152: [CI][nightly] nightly test tutorial failure:
test_tutorials.test_python_kvstore
URL:
https://github.com/apache/incubator-mxnet/issues/15152#issuecomment-499149917
able to reproduce now on 3.2xlarge
leleamol commented on issue #15154: [MXNET-1412] Backporting the fix to v1.4.x
branch to prevent the crash in naive engine
URL: https://github.com/apache/incubator-mxnet/pull/15154#issuecomment-499186420
Here is the PR in master that added the shared references to NaiveEngine
class
apeforest commented on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-499202039
@larroy Yes, I agree with your reply. Also, I don't understand the meaning
(or need) to return dL/dy_grad. @kshitij12345 Please comment. Thanks
aidan-plenert-macdonald commented on a change in pull request #14613:
[MXNET-978] Higher order gradient support for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#discussion_r290881823
##
File path: tests/python/unittest/test_higher_order_grad.py
aidan-plenert-macdonald commented on a change in pull request #14613:
[MXNET-978] Higher order gradient support for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#discussion_r290883241
##
File path: src/operator/tensor/elemwise_unary_op_trig.cc
apeforest commented on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-499170409
@kshitij12345 I have some question about the equation `expected_head_grad =
(grad_op(x) * head_grad_grads).asnumpy()` in your test.
My
apeforest edited a comment on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-499170409
@kshitij12345 I have some question about the equation `expected_head_grad =
(grad_op(x) * head_grad_grads).asnumpy()` in your test.
abhinavs95 commented on issue #13967: Hybrid Variable Pass Through [Bug]
URL:
https://github.com/apache/incubator-mxnet/issues/13967#issuecomment-499223906
@stephenrawls Could you close the issue since your problem has been resolved?
anirudh2290 edited a comment on issue #15084: MXNet GPU MKLDNN Build failure
URL:
https://github.com/apache/incubator-mxnet/issues/15084#issuecomment-499327579
Alright I was able to reproduce the issue with my commit and I was able to
fix it on the commit when using ar version 2.27: GNU
apeforest commented on a change in pull request #15156: fix kvstore nightly
failure
URL: https://github.com/apache/incubator-mxnet/pull/15156#discussion_r291021519
##
File path: docs/tutorials/python/kvstore.md
##
@@ -53,15 +53,11 @@ print(a.asnumpy())
The data for
larroy edited a comment on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-499261023
> @kshitij12345 I have some question about the equation `expected_head_grad
= (grad_op(x) * head_grad_grads).asnumpy()` in your test.
>
larroy edited a comment on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-499261023
> @kshitij12345 I have some question about the equation `expected_head_grad
= (grad_op(x) * head_grad_grads).asnumpy()` in your test.
>
kshitij12345 commented on a change in pull request #15120: [bug] fix higher
grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#discussion_r290953433
##
File path: tests/python/unittest/test_higher_order_grad.py
##
@@ -27,52 +27,79 @@ def test_log():
kshitij12345 commented on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-499271979
> @kshitij12345 I have some question about the equation `expected_head_grad
= (grad_op(x) * head_grad_grads).asnumpy()` in your test.
>
kshitij12345 commented on a change in pull request #15120: [bug] fix higher
grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#discussion_r290953295
##
File path: tests/python/unittest/test_higher_order_grad.py
##
@@ -27,52 +27,79 @@ def test_log():
sreev opened a new issue #15159: Add meaningful error message
URL: https://github.com/apache/incubator-mxnet/issues/15159
check compatible R version and throw meaningful message and halt
installation.
https://discuss.mxnet.io/t/installation-broken-for-r-alternate-method/4098
mxnet-label-bot commented on issue #15159: Add meaningful error message
URL:
https://github.com/apache/incubator-mxnet/issues/15159#issuecomment-499276162
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels so
that the appropriate
abhinavs95 commented on issue #13135: [Python] CUDNN error from 3D deconvolution
URL:
https://github.com/apache/incubator-mxnet/issues/13135#issuecomment-499282052
Using the following condensed example for debugging:
```
import mxnet as mx
from mxnet import nd
from mxnet.gluon
kshitij12345 commented on a change in pull request #15109: [DOC] refine
autograd docs
URL: https://github.com/apache/incubator-mxnet/pull/15109#discussion_r290965942
##
File path: docs/api/python/autograd/autograd.md
##
@@ -76,7 +82,63 @@ Detailed tutorials are available
roywei commented on issue #15128: update LICENSE
URL: https://github.com/apache/incubator-mxnet/pull/15128#issuecomment-499293016
@zachgk I have added both at source code and README. Also added copyright
This is an automated
lanking520 closed issue #13861: mxnet C API gives the wrong detection results
with yolo coco pretrained model exported form gluonCV
URL: https://github.com/apache/incubator-mxnet/issues/13861
This is an automated message
lanking520 commented on issue #13861: mxnet C API gives the wrong detection
results with yolo coco pretrained model exported form gluonCV
URL:
https://github.com/apache/incubator-mxnet/issues/13861#issuecomment-499240545
@SOWENKIN Close this for now due to the inactivity. Please feel free
apeforest edited a comment on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-499192329
I did some more probing. I think the reason that head_grads.grad being all
zeros is the variable head_grads was not specified during the
apeforest edited a comment on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-499192329
I did some more probing. I think the reason that head_grads.grad being all
zeros is the variable head_grads was not specified during the
Vikas89 commented on issue #14975: Mxnet doesn't reclaim the memory once there
is a cudaMalloc fail
URL:
https://github.com/apache/incubator-mxnet/issues/14975#issuecomment-499256724
@dmidge8 Would you be able to provide the script to repro this ?
sandeep-krishnamurthy closed issue #14712: Conv3DTranspose not work in Ubuntu.
URL: https://github.com/apache/incubator-mxnet/issues/14712
This is an automated message from the Apache Git Service.
To respond to the message,
sandeep-krishnamurthy commented on issue #14712: Conv3DTranspose not work in
Ubuntu.
URL:
https://github.com/apache/incubator-mxnet/issues/14712#issuecomment-499259692
Closing it in favor of #13135 Please reopen if you see the issue is
different.
larroy edited a comment on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-499261023
> @kshitij12345 I have some question about the equation `expected_head_grad
= (grad_op(x) * head_grad_grads).asnumpy()` in your test.
>
apeforest commented on issue #14976: [DOC] MXNet build from source instruction
for ubuntu is not working for GPU
URL:
https://github.com/apache/incubator-mxnet/issues/14976#issuecomment-499267130
@larroy thank you for the quick response.
I could verify the instruction works for the
apeforest closed issue #14976: [DOC] MXNet build from source instruction for
ubuntu is not working for GPU
URL: https://github.com/apache/incubator-mxnet/issues/14976
This is an automated message from the Apache Git
kshitij12345 commented on a change in pull request #15120: [bug] fix higher
grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#discussion_r290954157
##
File path: tests/python/unittest/test_higher_order_grad.py
##
@@ -27,52 +27,79 @@ def test_log():
larroy commented on issue #14779: Fully connected, higher order grad
URL: https://github.com/apache/incubator-mxnet/pull/14779#issuecomment-499282926
@mxnet-label-bot remove [pr-work-in-progress]
This is an automated message
larroy commented on issue #14940: Work on warnings
URL: https://github.com/apache/incubator-mxnet/pull/14940#issuecomment-499283090
@mxnet-label-bot add [pr-work-in-progress]
This is an automated message from the Apache Git
larroy commented on issue #15109: [DOC] refine autograd docs
URL: https://github.com/apache/incubator-mxnet/pull/15109#issuecomment-499283177
@mxnet-label-bot add [pr-awaiting-merge]
This is an automated message from the
piyushghai commented on issue #12307: ’ndarray.batch_dot‘ does not handle
general dot product, e.g., those with tensors
URL:
https://github.com/apache/incubator-mxnet/issues/12307#issuecomment-499288911
I think this is a feature request and not a bug.
@mxnet-label-bot Update
kshitij12345 edited a comment on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-499290399
> @kshitij12345 The computation graph for the second backward pass makes
sense to me. As you can see there is only one output from the
roywei commented on a change in pull request #15156: fix kvstore nightly failure
URL: https://github.com/apache/incubator-mxnet/pull/15156#discussion_r290978813
##
File path: docs/tutorials/python/kvstore.md
##
@@ -86,7 +86,7 @@ print(a.asnumpy())
`[[ 4. 4. 4.],[ 4. 4.
anirudhacharya opened a new issue #15160: Missing videos in autograd docs page
URL: https://github.com/apache/incubator-mxnet/issues/15160
The beta docs page for autograd -
http://beta.mxnet.io/guide/packages/autograd/autograd.html has a couple of
embedded videos. But the videos are
mxnet-label-bot commented on issue #15160: Missing videos in autograd docs page
URL:
https://github.com/apache/incubator-mxnet/issues/15160#issuecomment-499301543
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels so
that the
This is an automated email from the ASF dual-hosted git repository.
marcoabreu 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 61464b6 Bump the publish
roywei commented on a change in pull request #15128: update LICENSE
URL: https://github.com/apache/incubator-mxnet/pull/15128#discussion_r290935568
##
File path: tests/nightly/estimator/test_sentiment_rnn.py
##
@@ -101,7 +101,19 @@ def download_imdb(data_dir='/tmp/data'):
larroy edited a comment on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-499261023
> @kshitij12345 I have some question about the equation `expected_head_grad
= (grad_op(x) * head_grad_grads).asnumpy()` in your test.
>
larroy edited a comment on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-499261023
> @kshitij12345 I have some question about the equation `expected_head_grad
= (grad_op(x) * head_grad_grads).asnumpy()` in your test.
>
larroy edited a comment on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-499261023
> @kshitij12345 I have some question about the equation `expected_head_grad
= (grad_op(x) * head_grad_grads).asnumpy()` in your test.
>
zachgk commented on a change in pull request #15128: update LICENSE
URL: https://github.com/apache/incubator-mxnet/pull/15128#discussion_r290950448
##
File path: tests/nightly/estimator/test_sentiment_rnn.py
##
@@ -101,7 +101,19 @@ def download_imdb(data_dir='/tmp/data'):
zachgk commented on a change in pull request #15128: update LICENSE
URL: https://github.com/apache/incubator-mxnet/pull/15128#discussion_r290947501
##
File path: example/gluon/embedding_learning/get_cub200_data.sh
##
@@ -26,5 +26,8 @@ if [[ ! -d "${DATA_DIR}" ]]; then
zachgk commented on a change in pull request #15128: update LICENSE
URL: https://github.com/apache/incubator-mxnet/pull/15128#discussion_r290946270
##
File path: example/gluon/style_transfer/dataset/download_dataset.py
##
@@ -26,6 +26,8 @@ def unzip_file(filename,
zachgk commented on a change in pull request #15128: update LICENSE
URL: https://github.com/apache/incubator-mxnet/pull/15128#discussion_r290948537
##
File path: example/gluon/style_transfer/dataset/download_dataset.py
##
@@ -26,6 +26,8 @@ def unzip_file(filename,
roywei edited a comment on issue #15156: fix kvstore nightly failure
URL: https://github.com/apache/incubator-mxnet/pull/15156#issuecomment-499193892
update: root cause is GPU changed from 2 to 1. I mistook the instance type
used in CI. see updates in
apeforest commented on a change in pull request #15156: fix kvstore nightly
failure
URL: https://github.com/apache/incubator-mxnet/pull/15156#discussion_r290955850
##
File path: docs/tutorials/python/kvstore.md
##
@@ -86,7 +86,7 @@ print(a.asnumpy())
`[[ 4. 4. 4.],[ 4.
larroy commented on issue #14994: Flaky test: test_lstm_clip
URL:
https://github.com/apache/incubator-mxnet/issues/14994#issuecomment-499276548
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-gpu/detail/PR-15109/5/pipeline
piyushghai commented on issue #13968: Hybridization SequenceLast Bug
URL:
https://github.com/apache/incubator-mxnet/issues/13968#issuecomment-499276633
Hi @stephenrawls, Were you able to get a reproducible example for this error
?
kshitij12345 edited a comment on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-499271979
> @kshitij12345 I have some question about the equation `expected_head_grad
= (grad_op(x) * head_grad_grads).asnumpy()` in your test.
larroy commented on a change in pull request #14535: [DOC] Updated install
instructions for mac
URL: https://github.com/apache/incubator-mxnet/pull/14535#discussion_r290964820
##
File path: docs/install/osx_setup.md
##
@@ -89,25 +92,31 @@ Install the dependencies,
apeforest commented on a change in pull request #15156: fix kvstore nightly
failure
URL: https://github.com/apache/incubator-mxnet/pull/15156#discussion_r290965138
##
File path: docs/tutorials/python/kvstore.md
##
@@ -86,7 +86,7 @@ print(a.asnumpy())
`[[ 4. 4. 4.],[ 4.
larroy commented on issue #14535: [DOC] Updated install instructions for mac
URL: https://github.com/apache/incubator-mxnet/pull/14535#issuecomment-499284534
Any more changes requested?
This is an automated message from the
larroy commented on a change in pull request #14535: [DOC] Updated install
instructions for mac
URL: https://github.com/apache/incubator-mxnet/pull/14535#discussion_r290965051
##
File path: docs/install/osx_setup.md
##
@@ -89,25 +92,31 @@ Install the dependencies,
1 - 100 of 149 matches
Mail list logo
