cjolivier01 commented on a change in pull request #9672: CMake CUDA fixes + NCCL
URL: https://github.com/apache/incubator-mxnet/pull/9672#discussion_r165660835
##
File path: CMakeLists.txt
##
@@ -168,12 +167,43 @@ endif()
include_directories(${CMAKE_CURRENT_SOURCE_DIR}/inc
pengzhao-intel commented on a change in pull request #9552: [REQUEST FOR REVIEW
| DO NOT MERGE] Model Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#discussion_r165646442
##
File path: src/operator/quantization/quantized_conv.cc
##
@
pengzhao-intel commented on issue #9552: [REQUEST FOR REVIEW | DO NOT MERGE]
Model Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#issuecomment-362588513
@reminisce and all, This is an awesome PR ?
Our team (@wentingj @jinhuang415) is also work
KellenSunderland commented on a change in pull request #9671: Exp backoff for
downloads.
URL: https://github.com/apache/incubator-mxnet/pull/9671#discussion_r165642736
##
File path: python/mxnet/gluon/utils.py
##
@@ -61,13 +52,13 @@ def split_data(data, num_slice, batch_ax
KellenSunderland commented on a change in pull request #9671: Exp backoff for
downloads.
URL: https://github.com/apache/incubator-mxnet/pull/9671#discussion_r165642736
##
File path: python/mxnet/gluon/utils.py
##
@@ -61,13 +52,13 @@ def split_data(data, num_slice, batch_ax
benqua commented on issue #8245: Use argmax instead of argmax_channel in
Accuracy to keep dimention
URL: https://github.com/apache/incubator-mxnet/pull/8245#issuecomment-362581380
@yzhliu Can you check and merge if ok?
This i
larroy commented on a change in pull request #9671: Exp backoff for downloads.
URL: https://github.com/apache/incubator-mxnet/pull/9671#discussion_r165637624
##
File path: python/mxnet/gluon/utils.py
##
@@ -61,13 +52,13 @@ def split_data(data, num_slice, batch_axis=0,
even
KellenSunderland commented on issue #9612: CUDNN_STATUS_SUCCESS (4 vs. 0)
cuDNN: CUDNN_STATUS_INTERNAL_ERROR on jetson TX2
URL:
https://github.com/apache/incubator-mxnet/issues/9612#issuecomment-36259
Thanks again for iterating on this. The guide is updated with a build that
should i
KineticCookie closed issue #9361: infer_shape error for 'resnet-152'
URL: https://github.com/apache/incubator-mxnet/issues/9361
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KellenSunderland commented on issue #9612: CUDNN_STATUS_SUCCESS (4 vs. 0)
cuDNN: CUDNN_STATUS_INTERNAL_ERROR on jetson TX2
URL:
https://github.com/apache/incubator-mxnet/issues/9612#issuecomment-36259
Thanks again for iterating on this. The guide is updated with a build that
should i
KineticCookie commented on issue #9361: infer_shape error for 'resnet-152'
URL:
https://github.com/apache/incubator-mxnet/issues/9361#issuecomment-362577135
@kevinthesun thanks for the detailed explanation. ?
This is an auto
szha commented on issue #8529: What is the functionality of OrderMutation
URL:
https://github.com/apache/incubator-mxnet/issues/8529#issuecomment-362573098
@apache/mxnet-committers: This issue has been inactive for the past 90 days.
It has no label and needs triage.
For general "how
KellenSunderland commented on issue #9552: [REQUEST FOR REVIEW | DO NOT MERGE]
Model Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#issuecomment-362572156
Hey @reminisce, looking forward to this one on the edge team (if you can't
tell). If you're go
viebboy commented on issue #7642: Max norm regularization
URL:
https://github.com/apache/incubator-mxnet/issues/7642#issuecomment-362570173
Have you figured out how to implement max norm regularization yet?
This is an automa
KellenSunderland opened a new pull request #9684: Enable dp4a for the CI
URL: https://github.com/apache/incubator-mxnet/pull/9684
## Description ##
Turn on sm61 so that when we add p3 support to the CI env we'll be able to
execute the dp4a instruction. This should help test features lik
dma100180 commented on issue #9673: MX.LSTM time series
URL:
https://github.com/apache/incubator-mxnet/issues/9673#issuecomment-362560897
Thank you very much ... I've been several weeks gracious again for letting
me know
Thi
dma100180 closed issue #9673: MX.LSTM time series
URL: https://github.com/apache/incubator-mxnet/issues/9673
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SBMahapatra commented on issue #6023: pip install error: No matching
distribution found for mxnet-cu80
URL:
https://github.com/apache/incubator-mxnet/issues/6023#issuecomment-362561464
I am getting the same installation error for kera on windows 10.
Could not find a version that satis
KellenSunderland commented on a change in pull request #9681: Better Exception
Handling for Operators
URL: https://github.com/apache/incubator-mxnet/pull/9681#discussion_r165600888
##
File path: tests/python/unittest/test_exc_handling.py
##
@@ -0,0 +1,112 @@
+# Licensed to
KellenSunderland commented on issue #9681: Better Exception Handling for
Operators
URL: https://github.com/apache/incubator-mxnet/pull/9681#issuecomment-362538618
This is going to be a big improvement for new users experimenting with the
library. Thanks for the great work @anirudh2290.
-
KellenSunderland commented on issue #9612: CUDNN_STATUS_SUCCESS (4 vs. 0)
cuDNN: CUDNN_STATUS_INTERNAL_ERROR on jetson TX2
URL:
https://github.com/apache/incubator-mxnet/issues/9612#issuecomment-362535807
Indeed that seems to be a bug, I should be building with cudnn enabled. Let
me try
yanhn commented on issue #9612: CUDNN_STATUS_SUCCESS (4 vs. 0) cuDNN:
CUDNN_STATUS_INTERNAL_ERROR on jetson TX2
URL:
https://github.com/apache/incubator-mxnet/issues/9612#issuecomment-362532985
Hi @KellenSunderland ~
I managed to install mxnet on TX2 using docker image build on the host
jjinking commented on issue #9350: Trouble building with mkl from source
URL:
https://github.com/apache/incubator-mxnet/issues/9350#issuecomment-362498033
It's a 2g RAM CentOS7.3 docker container. I'm able to successfully compile
v0.10.0 with this but I guess I gotta reduce memory usage du
jjinking commented on issue #9350: Trouble building with mkl from source
URL:
https://github.com/apache/incubator-mxnet/issues/9350#issuecomment-362498033
It's a 2g RAM CentOS7.3 docker container. I'm able to successfully compile
v0.10.0 with this but I guess I gotta reduce memory usage du
jjinking commented on issue #9350: Trouble building with mkl from source
URL:
https://github.com/apache/incubator-mxnet/issues/9350#issuecomment-362498033
It's a 2g CentOS7.3 docker container. I'm able to successfully compile
v0.10.0 with this but I guess I gotta reduce memory usage during
jjinking commented on issue #9350: Trouble building with mkl from source
URL:
https://github.com/apache/incubator-mxnet/issues/9350#issuecomment-362498033
It's a 2g CentOS7.3 docker container. I'm able to successfully compile
v0.10.0 with this but I guess not for v1.0.0
This worked
willbadr closed issue #9682: eifjccfutnudujnjcleetcrftbceijufdrbbeerrfeit
URL: https://github.com/apache/incubator-mxnet/issues/9682
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dongzhuoyao opened a new pull request #9683: gluon block.py typo
URL: https://github.com/apache/incubator-mxnet/pull/9683
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
- [Y] Passed code style checking (`make lint`)
- [Y]
willbadr opened a new issue #9682: eifjccfutnudujnjcleetcrftbceijufdrbbeerrfeit
URL: https://github.com/apache/incubator-mxnet/issues/9682
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