pengzhao-intel commented on issue #9828: Building with MKL fails on OSX
URL:
https://github.com/apache/incubator-mxnet/issues/9828#issuecomment-368712362
Update: This bug is fixed in MKL-DNN and the patch will be ready in the
official branch soon.
@xinyu-intel
pengzhao-intel commented on issue #9828: Building with MKL fails on OSX
URL:
https://github.com/apache/incubator-mxnet/issues/9828#issuecomment-368712362
Update: This bug is fixed in MKL-DNN and the patch will be ready in the
official branch soon.
@xiinyu-intel
pengzhao-intel commented on issue #9828: Building with MKL fails on OSX
URL:
https://github.com/apache/incubator-mxnet/issues/9828#issuecomment-368712362
Update: This bug is fixed in MKL-DNN and the patch will be ready in the
official branch soon.
@xinyulab
thinksanky commented on issue #9896: Updated build_doc.sh to build on the new
release tag found
URL: https://github.com/apache/incubator-mxnet/pull/9896#issuecomment-368772292
* Testing:
Currently building on ubuntu. I can see the extracted tag and building it
when found, but the build
thinksanky opened a new pull request #9896: Updated build_doc.sh to build on
the new release tag found
URL: https://github.com/apache/incubator-mxnet/pull/9896
## Description ##
- Checked out the new release tag if found and do makes docs on it.
- Rest of the logic stays same.
-
thinksanky opened a new pull request #9895: updated version to 1.1.0
URL: https://github.com/apache/incubator-mxnet/pull/9895
## Description ##
Update Version number to 1.1.0
This is an automated message from the Apache
pengzhao-intel commented on issue #9545: Profiling discussion
URL:
https://github.com/apache/incubator-mxnet/issues/9545#issuecomment-368759486
@cjolivier01 I come back to this discussion regarding MKL-DNN backend
profiling :)
Now, adding the env "export MKLDNN_VERBOSE =1" and run
jeremiedb commented on issue #9625: sparse regression operators
URL: https://github.com/apache/incubator-mxnet/pull/9625#issuecomment-368752590
@ZiyueHuang The issue with `Matrix Factorization` seems to comes from the
`label` argument to the regressionOutput operator being named as `score`
arokem opened a new issue #9894: Undefined name `get_cifar10_iterator` in gluon
image_classification example
URL: https://github.com/apache/incubator-mxnet/issues/9894
Note: Providing complete information in the most concise form is the best
way to get help. This issue template serves as
billhyde commented on issue #8707: Fail to build amalgamation for Android in
latest version
URL:
https://github.com/apache/incubator-mxnet/issues/8707#issuecomment-368732166
@someoneAlready Thank you for your reply, I will try it. Thanks
ZiyueHuang commented on issue #9625: sparse regression operators
URL: https://github.com/apache/incubator-mxnet/pull/9625#issuecomment-368732046
Hi @thirdwing @jeremiedb , R-test fails on `Matrix Factorization`
> test_model.R:242: error: Matrix Factorization
[16:33:22]
someoneAlready commented on issue #8707: Fail to build amalgamation for Android
in latest version
URL:
https://github.com/apache/incubator-mxnet/issues/8707#issuecomment-368729480
@billhyde I use
[docker](https://github.com/apache/incubator-mxnet/tree/master/docker_multiarch)
to build
someoneAlready commented on issue #8707: Fail to build amalgamation for Android
in latest version
URL:
https://github.com/apache/incubator-mxnet/issues/8707#issuecomment-368729480
@billhyde I use
[docker](https://github.com/apache/incubator-mxnet/tree/master/docker_multiarch)
to build
billhyde commented on issue #8707: Fail to build amalgamation for Android in
latest version
URL:
https://github.com/apache/incubator-mxnet/issues/8707#issuecomment-368727944
@someoneAlready I meet the same problem,have you solve this?
tqchen commented on issue #9880: TVM bridge support to JIT NDArray Function by
TVM
URL: https://github.com/apache/incubator-mxnet/pull/9880#issuecomment-368727403
This design is certainly unconventional and takes me a while to come up with
it, in a sense that it tries to achieve something
tqchen commented on a change in pull request #9880: TVM bridge support to JIT
NDArray Function by TVM
URL: https://github.com/apache/incubator-mxnet/pull/9880#discussion_r170800127
##
File path: src/nnvm/tvm_bridge.cc
##
@@ -0,0 +1,180 @@
+/*
+ * Licensed to the Apache
ascust commented on issue #9885: A question about Operator "crop" and "slice".
URL:
https://github.com/apache/incubator-mxnet/issues/9885#issuecomment-368722912
@reminisce For fixed-sized input, your way has no problem, but image we have
various input size for both "data" and "ref", we
piiswrong commented on issue #9880: TVM bridge support to JIT NDArray Function
by TVM
URL: https://github.com/apache/incubator-mxnet/pull/9880#issuecomment-368722092
I understand that this is a quick hack to plug TVM support to mxnet NDArray
and I think we should merge it for the time
piiswrong commented on a change in pull request #9880: TVM bridge support to
JIT NDArray Function by TVM
URL: https://github.com/apache/incubator-mxnet/pull/9880#discussion_r170796863
##
File path: src/nnvm/tvm_bridge.cc
##
@@ -0,0 +1,180 @@
+/*
+ * Licensed to the Apache
thbupt commented on issue #9420: add use_global_stats in nn.BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/9420#issuecomment-368721069
@7oud I think 8 is too small for bn, you can try larger bz like 16, 32.
piiswrong opened a new pull request #9893: Add constant parameter
URL: https://github.com/apache/incubator-mxnet/pull/9893
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
- [ ] Passed code style checking (`make lint`)
- [
JulianSlzr commented on a change in pull request #9877: Better even_split=False
support in gluon.split_data()
URL: https://github.com/apache/incubator-mxnet/pull/9877#discussion_r170796056
##
File path: python/mxnet/gluon/utils.py
##
@@ -56,13 +56,10 @@ def
yancz1989 commented on issue #9888: get runtime error when compile and install
URL:
https://github.com/apache/incubator-mxnet/issues/9888#issuecomment-368717591
I found if I use "import requests" first, it would run smoothly. This should
be a dependency problem, I suggest the develop team
piiswrong commented on a change in pull request #9892: [WIP] Serde Module for
Import/Export of models between Onnx and Mxnet
URL: https://github.com/apache/incubator-mxnet/pull/9892#discussion_r170791350
##
File path: python/mxnet/contrib/serde/_import/backend.py
##
@@
piiswrong commented on a change in pull request #9892: [WIP] Serde Module for
Import/Export of models between Onnx and Mxnet
URL: https://github.com/apache/incubator-mxnet/pull/9892#discussion_r170791109
##
File path: python/mxnet/contrib/serde/_export/__init__.py
##
@@
piiswrong commented on a change in pull request #9892: [WIP] Serde Module for
Import/Export of models between Onnx and Mxnet
URL: https://github.com/apache/incubator-mxnet/pull/9892#discussion_r170793607
##
File path: python/mxnet/contrib/serde/_import/import_onnx.py
##
piiswrong commented on a change in pull request #9892: [WIP] Serde Module for
Import/Export of models between Onnx and Mxnet
URL: https://github.com/apache/incubator-mxnet/pull/9892#discussion_r170793654
##
File path: python/mxnet/contrib/serde/_import/import_onnx.py
##
piiswrong commented on a change in pull request #9892: [WIP] Serde Module for
Import/Export of models between Onnx and Mxnet
URL: https://github.com/apache/incubator-mxnet/pull/9892#discussion_r170791122
##
File path: python/mxnet/contrib/__init__.py
##
@@ -28,3 +28,4 @@
piiswrong commented on a change in pull request #9892: [WIP] Serde Module for
Import/Export of models between Onnx and Mxnet
URL: https://github.com/apache/incubator-mxnet/pull/9892#discussion_r170793263
##
File path: python/mxnet/contrib/serde/_import/tests/onnx_backend_test.py
piiswrong commented on a change in pull request #9892: [WIP] Serde Module for
Import/Export of models between Onnx and Mxnet
URL: https://github.com/apache/incubator-mxnet/pull/9892#discussion_r170792427
##
File path: python/mxnet/contrib/serde/_import/common.py
##
@@
7oud commented on issue #9420: add use_global_stats in nn.BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/9420#issuecomment-368716803
@thbupt batch size in training is 8, and in inference is usually 1.
This is
cjolivier01 commented on issue #9868: MKL and CMake
URL:
https://github.com/apache/incubator-mxnet/issues/9868#issuecomment-368716489
...or @pengzhao-intel or @jinhuang415 or someone who is more familiar with
the changes
cjolivier01 commented on issue #9868: MKL and CMake
URL:
https://github.com/apache/incubator-mxnet/issues/9868#issuecomment-368716124
I don?t know what?s still left of USE_MKLML_MKL, so I?ll leave it to
@zheng-da?s judgement
tornadomeet commented on issue #9420: add use_global_stats in nn.BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/9420#issuecomment-368715334
@7oud the correct way which using bn during training from scratch is setting
`use_global_status=False`;
just make
thbupt commented on issue #9420: add use_global_stats in nn.BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/9420#issuecomment-368715232
@7oud how about your batch size? bn seems to prefer large batch size.
This
reminisce commented on issue #9885: A question about Operator "crop" and
"slice".
URL:
https://github.com/apache/incubator-mxnet/issues/9885#issuecomment-368715135
I don't know why `Crop` is deprecated, but it looks like so. As I said in a
previous comment, you can use `slice` to achieve
tornadomeet commented on issue #9420: add use_global_stats in nn.BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/9420#issuecomment-368713864
@7oud do you mean in your small task, set `use_global_stats=True` during
training will get better result than `use_global_stats=False`
7oud commented on issue #9420: add use_global_stats in nn.BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/9420#issuecomment-368714486
@tornadomeet it seems that, but I cannot give the conclusion, bcz the
dataset is too small to giving truth
tornadomeet commented on issue #9420: add use_global_stats in nn.BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/9420#issuecomment-368713864
@7oud do you mean in your small task, set `use_global_stats=True` during
training will get better result than `use_global_stats=False`
thbupt commented on issue #9420: add use_global_stats in nn.BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/9420#issuecomment-368714220
@tornadomeet Is there a simple way to set all use_global_status=True as
finetuning. I know one way is to set use_global_status=True for
7oud commented on issue #9420: add use_global_stats in nn.BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/9420#issuecomment-368713958
@thbupt Actually I did like what you said, but the same data batch has
different output when using forward(is_train=False) and
tornadomeet commented on issue #9420: add use_global_stats in nn.BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/9420#issuecomment-368713864
@7oud do you mean in your small task, set `use_global_stats=True` during
training will get better result than `use_global_stats=False`
piiswrong commented on a change in pull request #9892: [WIP] Serde Module for
Import/Export of models between Onnx and Mxnet
URL: https://github.com/apache/incubator-mxnet/pull/9892#discussion_r170791038
##
File path: python/mxnet/contrib/__init__.py
##
@@ -28,3 +28,4 @@
ascust commented on issue #9885: A question about Operator "crop" and "slice".
URL:
https://github.com/apache/incubator-mxnet/issues/9885#issuecomment-368713425
@reminisce It seems both Crop and crop are deprecated in the documentation.
So are you saying the documentation is a bit
piiswrong commented on a change in pull request #9892: [WIP] Serde Module for
Import/Export of models between Onnx and Mxnet
URL: https://github.com/apache/incubator-mxnet/pull/9892#discussion_r170791038
##
File path: python/mxnet/contrib/__init__.py
##
@@ -28,3 +28,4 @@
pengzhao-intel commented on issue #9828: Building with MKL fails on OSX
URL:
https://github.com/apache/incubator-mxnet/issues/9828#issuecomment-368712362
Update: This bug is fixed in MKL-DNN and the patch will be ready in the
official branch soon.
reminisce commented on issue #9885: A question about Operator "crop" and
"slice".
URL:
https://github.com/apache/incubator-mxnet/issues/9885#issuecomment-368711743
I just checked the code, there is indeed a `Crop` (upper-case C) operator
working as you described. What has been deprecated
pengzhao-intel commented on issue #9868: MKL and CMake
URL:
https://github.com/apache/incubator-mxnet/issues/9868#issuecomment-368711665
@jinhuang415 please take a look for this issue and file a PR to fix.
This is an
jinhuang415 commented on a change in pull request #9810: remove
MKL_EXPERIMENTAL and update make files for MKL-DNN
URL: https://github.com/apache/incubator-mxnet/pull/9810#discussion_r170617385
##
File path: docker_multiarch/arm.crosscompile.mk
##
@@ -115,13 +100,10 @@
7oud commented on issue #9420: add use_global_stats in nn.BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/9420#issuecomment-368709872
@thbupt I found in some small dataset training tasks such as segmentation,
the inference result is worse than training when using BatchNorm
iblis17 commented on issue #8727: jenkins: julia build script
URL: https://github.com/apache/incubator-mxnet/pull/8727#issuecomment-368709434
I agree your thought-process.
cc (other MXNet.jl maintainer) @pluskid, @vchuravy .
> then publishes it to a new repository, e.g.
anirudhacharya opened a new pull request #9892: [WIP] Serde Module for
Import/Export of models between Onnx and Mxnet
URL: https://github.com/apache/incubator-mxnet/pull/9892
## Description ##
ImportExport module based on this design doc -
tornadomeet commented on issue #9420: add use_global_stats in nn.BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/9420#issuecomment-368707758
@7oud just as @thbupt said, it used for fine-tune pre-trained model, such
as fix some layer which using bn during fine-tune. if with
zhanghang1989 commented on issue #9547: Implementing new operators in an
external module
URL:
https://github.com/apache/incubator-mxnet/issues/9547#issuecomment-368705813
Agree. A feature similar to [PyTorch
FFI](https://github.com/pytorch/extension-ffi) is desired.
Caenorst commented on issue #9874: ResNet-50 is slower on Volta since #8302
URL:
https://github.com/apache/incubator-mxnet/issues/9874#issuecomment-368701787
It's averaged over 1200 batches, I'm ignoring the 100 first batches.
szha commented on issue #8638: allow_extra parameter in Line 652 in
incubator-mxnet/python/mxnet/module/base_module.py needs to be removed to make
things work
URL:
https://github.com/apache/incubator-mxnet/issues/8638#issuecomment-368701198
@apache/mxnet-committers: This issue has been
reminisce commented on issue #9885: A question about Operator "crop" and
"slice".
URL:
https://github.com/apache/incubator-mxnet/issues/9885#issuecomment-36879
Are you referring to the definition here:
https://turi.com/products/create/docs/generated/graphlab.mxnet.symbol.Crop.html?
rahul003 commented on issue #9874: ResNet-50 is slower on Volta since #8302
URL:
https://github.com/apache/incubator-mxnet/issues/9874#issuecomment-368699365
Are the speeds that you mention averages? If so, averaged over how many
batches?
ascust commented on issue #9885: A question about Operator "crop" and "slice".
URL:
https://github.com/apache/incubator-mxnet/issues/9885#issuecomment-368698180
@reminisce
In the official doc,
Crop the 2nd and 3rd dim of input data, with the corresponding size of h_w
or with
reminisce commented on issue #9885: A question about Operator "crop" and
"slice".
URL:
https://github.com/apache/incubator-mxnet/issues/9885#issuecomment-368697755
What is the role of `ref` here? What's the expected behavior of `Crop` in
your code?
pharish93 commented on issue #9690: Possible memory leak with de-convolution
operator in CPU mode
URL:
https://github.com/apache/incubator-mxnet/issues/9690#issuecomment-368695565
hi @sxjscience sorry for the delay
got held up with other work . I'll provide you updates soon
lupesko commented on issue #9874: ResNet-50 is slower on Volta since #8302
URL:
https://github.com/apache/incubator-mxnet/issues/9874#issuecomment-368694710
@piiswrong @zheng-da - please take a look, this degradation may be related
to your commit.
tqchen commented on issue #9880: TVM bridge support to JIT NDArray Function by
TVM
URL: https://github.com/apache/incubator-mxnet/pull/9880#issuecomment-368694729
Thanks for the reviews! If there is no requests to change things today. I am
going to merge this in tomorrow
tqchen commented on issue #9880: TVM bridge support to JIT NDArray Function by
TVM
URL: https://github.com/apache/incubator-mxnet/pull/9880#issuecomment-368693448
OK, will do an update in the python part as well
This is an
anirudh2290 opened a new issue #9891: UTF-8 Support for Text Parsers
URL: https://github.com/apache/incubator-mxnet/issues/9891
Please see: https://github.com/dmlc/dmlc-core/issues/372
This is an automated message from the
ascust commented on issue #9885: A question about Operator "crop" and "slice".
URL:
https://github.com/apache/incubator-mxnet/issues/9885#issuecomment-368687459
@reminisce
For example, for "crop", we can have something like this:
```
data = mx.sym.Variable("data")
ref =
marcoabreu commented on issue #9880: TVM bridge support to JIT NDArray Function
by TVM
URL: https://github.com/apache/incubator-mxnet/pull/9880#issuecomment-368687349
Not in the Python part and there's no link to where this number actually
comes from. I personally would not know where to
tqchen commented on issue #9880: TVM bridge support to JIT NDArray Function by
TVM
URL: https://github.com/apache/incubator-mxnet/pull/9880#issuecomment-368686482
I added comment in the declaration point
This is an automated
piiswrong commented on a change in pull request #9877: Better even_split=False
support in gluon.split_data()
URL: https://github.com/apache/incubator-mxnet/pull/9877#discussion_r170760306
##
File path: python/mxnet/gluon/utils.py
##
@@ -56,13 +56,10 @@ def
piiswrong closed pull request #9889: Fix doc in autograd.Function
URL: https://github.com/apache/incubator-mxnet/pull/9889
This is a PR merged from a forked repository.
As GitHub hides the original diff on merge, it is displayed below for
the sake of provenance:
As this is a foreign pull
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 5d49205 Fix doc (#9889)
5d49205 is
piiswrong closed issue #9872: A bug in an example in the python API document
URL: https://github.com/apache/incubator-mxnet/issues/9872
This is an automated message from the Apache Git Service.
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dabraude commented on a change in pull request #9860: [WIP] CMake NNPack support
URL: https://github.com/apache/incubator-mxnet/pull/9860#discussion_r170758657
##
File path: CMakeLists.txt
##
@@ -551,6 +552,37 @@ if(NOT EXISTS
anirudh2290 commented on issue #9869: Exception handling documentation
URL: https://github.com/apache/incubator-mxnet/pull/9869#issuecomment-368673277
@rahul003 All exceptions that are a subclass of dmlc::Error in the C++
backend is propagated to the frontend and rethrown as
marcoabreu commented on a change in pull request #9860: [WIP] CMake NNPack
support
URL: https://github.com/apache/incubator-mxnet/pull/9860#discussion_r170756315
##
File path: CMakeLists.txt
##
@@ -551,6 +552,37 @@ if(NOT EXISTS
dabraude commented on a change in pull request #9860: [WIP] CMake NNPack support
URL: https://github.com/apache/incubator-mxnet/pull/9860#discussion_r170755593
##
File path: CMakeLists.txt
##
@@ -551,6 +552,37 @@ if(NOT EXISTS
dabraude commented on a change in pull request #9860: [WIP] CMake NNPack support
URL: https://github.com/apache/incubator-mxnet/pull/9860#discussion_r170749738
##
File path: CMakeLists.txt
##
@@ -551,6 +552,37 @@ if(NOT EXISTS
dabraude commented on issue #9860: [WIP] CMake NNPack support
URL: https://github.com/apache/incubator-mxnet/pull/9860#issuecomment-368664643
I wasn't going to push but I had conflicts with the upstream/master that
needed to be resolved.
The problem is that none of the old
marcoabreu commented on a change in pull request #9860: [WIP] CMake NNPack
support
URL: https://github.com/apache/incubator-mxnet/pull/9860#discussion_r170745042
##
File path: CMakeLists.txt
##
@@ -551,6 +552,37 @@ if(NOT EXISTS
mayer79 commented on issue #8936: Issue on MXNet R installation with GPU
support on Windows
URL:
https://github.com/apache/incubator-mxnet/issues/8936#issuecomment-368654683
I have exactly the same problem.
This is an
rahul003 commented on a change in pull request #9869: Exception handling
documentation
URL: https://github.com/apache/incubator-mxnet/pull/9869#discussion_r170734554
##
File path: docs/tutorials/basic/exception_handling.md
##
@@ -0,0 +1,111 @@
+# Exception Handling in
rahul003 commented on a change in pull request #9869: Exception handling
documentation
URL: https://github.com/apache/incubator-mxnet/pull/9869#discussion_r170736736
##
File path: docs/tutorials/basic/exception_handling.md
##
@@ -0,0 +1,111 @@
+# Exception Handling in
rahul003 commented on a change in pull request #9869: Exception handling
documentation
URL: https://github.com/apache/incubator-mxnet/pull/9869#discussion_r170734563
##
File path: docs/tutorials/basic/exception_handling.md
##
@@ -0,0 +1,111 @@
+# Exception Handling in
rahul003 commented on a change in pull request #9869: Exception handling
documentation
URL: https://github.com/apache/incubator-mxnet/pull/9869#discussion_r170735533
##
File path: docs/tutorials/basic/exception_handling.md
##
@@ -0,0 +1,111 @@
+# Exception Handling in
sxjscience commented on issue #9881: Inconsistent weight decay logics in
multiple optimizers
URL:
https://github.com/apache/incubator-mxnet/issues/9881#issuecomment-368639164
Just curious, is `clip_gradient` used anywhere?
tqchen commented on issue #9880: TVM bridge support to JIT NDArray Function by
TVM
URL: https://github.com/apache/incubator-mxnet/pull/9880#issuecomment-368636020
@piiswrong Can you check and merge, or provide a list of action items that
you think should change?
piiswrong commented on issue #9881: Inconsistent weight decay logics in
multiple optimizers
URL:
https://github.com/apache/incubator-mxnet/issues/9881#issuecomment-368632961
Could you clarify which ones multiply wd with lr and which ones don't?
anirudh2290 closed pull request #9795: Add tests for Exception Handling in
Iterators
URL: https://github.com/apache/incubator-mxnet/pull/9795
This is a PR merged from a forked repository.
As GitHub hides the original diff on merge, it is displayed below for
the sake of provenance:
As
anirudh2290 commented on issue #9795: Add tests for Exception Handling in
Iterators
URL: https://github.com/apache/incubator-mxnet/pull/9795#issuecomment-368629079
Closing this. Please see #9869 which contains these tests
cjolivier01 closed pull request #9883: added function for loading content of
nd_array files from a buffer
URL: https://github.com/apache/incubator-mxnet/pull/9883
This is a PR merged from a forked repository.
As GitHub hides the original diff on merge, it is displayed below for
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This is an automated email from the ASF dual-hosted git repository.
cjolivier01 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 a352d1e added function for
Caenorst opened a new issue #9890: MxNet allow to use same name
URL: https://github.com/apache/incubator-mxnet/issues/9890
## Description
MxNet allow me to reuse a name of a symbol without returning an error, it
eventually leads to a cyclic graph in the visualization.
We should
dabraude commented on a change in pull request #9883: added function for
loading content of nd_array files from a buffer
URL: https://github.com/apache/incubator-mxnet/pull/9883#discussion_r170708924
##
File path: src/c_api/c_api.cc
##
@@ -322,6 +322,38 @@ int
tqchen commented on a change in pull request #9880: TVM bridge support to JIT
NDArray Function by TVM
URL: https://github.com/apache/incubator-mxnet/pull/9880#discussion_r170707789
##
File path: tests/python/gpu/test_tvm_bridge.py
##
@@ -0,0 +1,63 @@
+# Licensed to the
tqchen commented on a change in pull request #9880: TVM bridge support to JIT
NDArray Function by TVM
URL: https://github.com/apache/incubator-mxnet/pull/9880#discussion_r170707789
##
File path: tests/python/gpu/test_tvm_bridge.py
##
@@ -0,0 +1,63 @@
+# Licensed to the
cjolivier01 commented on a change in pull request #9880: TVM bridge support to
JIT NDArray Function by TVM
URL: https://github.com/apache/incubator-mxnet/pull/9880#discussion_r170706390
##
File path: tests/python/gpu/test_tvm_bridge.py
##
@@ -0,0 +1,63 @@
+# Licensed to
tqchen commented on a change in pull request #9880: TVM bridge support to JIT
NDArray Function by TVM
URL: https://github.com/apache/incubator-mxnet/pull/9880#discussion_r170705949
##
File path: tests/python/gpu/test_tvm_bridge.py
##
@@ -0,0 +1,63 @@
+# Licensed to the
cjolivier01 commented on a change in pull request #9883: added function for
loading content of nd_array files from a buffer
URL: https://github.com/apache/incubator-mxnet/pull/9883#discussion_r170704930
##
File path: src/c_api/c_api.cc
##
@@ -322,6 +322,38 @@ int
tqchen commented on a change in pull request #9880: TVM bridge support to JIT
NDArray Function by TVM
URL: https://github.com/apache/incubator-mxnet/pull/9880#discussion_r170703656
##
File path: tests/python/gpu/test_tvm_bridge.py
##
@@ -0,0 +1,63 @@
+# Licensed to the
marcoabreu commented on a change in pull request #9878: Docs build all versions
refactor
URL: https://github.com/apache/incubator-mxnet/pull/9878#discussion_r170701486
##
File path: docs/build_version_doc/setup_docs_ubuntu.sh
##
@@ -0,0 +1,42 @@
+# If you need to build <=
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