ZiyueHuang commented on issue #11024: concat of CSR NDArrays on first dimension
URL: https://github.com/apache/incubator-mxnet/pull/11024#issuecomment-393407577
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ZiyueHuang commented on issue #11097: fix nd.backward when out_grad is None
URL: https://github.com/apache/incubator-mxnet/pull/11097#issuecomment-393402264
Original way is OK since the check here
https://github.com/apache/incubator-mxnet/blob/master/src/imperative/imperative.cc#L301.
ZiyueHuang closed pull request #11097: fix nd.backward when out_grad is None
URL: https://github.com/apache/incubator-mxnet/pull/11097
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piiswrong opened a new pull request #11107: [WIP][PoC] mxnet-lite
URL: https://github.com/apache/incubator-mxnet/pull/11107
Proof of concept for mxnet-lite. The idea is to include minimum
functionalities necessary for deployment. Also use SymbolBlock instead of
Executor for easier
asitstands commented on a change in pull request #10970: [MXNET-424] dtype
option for multinomial
URL: https://github.com/apache/incubator-mxnet/pull/10970#discussion_r191984961
##
File path: src/operator/random/sample_multinomial_op.h
##
@@ -67,6 +70,10 @@ inline bool
HyperGroups commented on issue #11032: Problem with load lstm model with
mx.Module's bind
URL:
https://github.com/apache/incubator-mxnet/issues/11032#issuecomment-393392230
@reminisce
Hi, I've added the [model link] in Level 1.
another version means In this way of using load
HyperGroups commented on issue #11032: Problem with load lstm model with
mx.Module's bind
URL:
https://github.com/apache/incubator-mxnet/issues/11032#issuecomment-393392230
@reminisce I've add the [model link]
In this
HyperGroups commented on issue #11032: Problem with load lstm model with
mx.Module's bind
URL:
https://github.com/apache/incubator-mxnet/issues/11032#issuecomment-393391621
@reminisce I've add the [model link]
In this method
HyperGroups commented on issue #11032: Problem with load lstm model with
mx.Module's bind
URL:
https://github.com/apache/incubator-mxnet/issues/11032#issuecomment-393391621
@reminisce I've add the [model link]
In this
larroy commented on a change in pull request #11096: [MXNET-472] ccache for
docker builds
URL: https://github.com/apache/incubator-mxnet/pull/11096#discussion_r191979340
##
File path: ci/docker/install/ubuntu_install_ccache.sh
##
@@ -0,0 +1,59 @@
+#!/bin/bash
+
+#
larroy commented on a change in pull request #11096: [MXNET-472] ccache for
docker builds
URL: https://github.com/apache/incubator-mxnet/pull/11096#discussion_r191979420
##
File path: ci/docker/runtime_functions.sh
##
@@ -31,14 +31,49 @@ clean_repo() {
git submodule
larroy commented on a change in pull request #11096: [MXNET-472] ccache for
docker builds
URL: https://github.com/apache/incubator-mxnet/pull/11096#discussion_r191979310
##
File path: ci/docker/install/centos7_install_ccache.sh
##
@@ -0,0 +1,53 @@
+#!/bin/bash
+
+#
larroy commented on a change in pull request #11096: [MXNET-472] ccache for
docker builds
URL: https://github.com/apache/incubator-mxnet/pull/11096#discussion_r191979245
##
File path: ci/docker/install/centos7_install_ccache.sh
##
@@ -0,0 +1,53 @@
+#!/bin/bash
+
+#
larroy commented on a change in pull request #11096: [MXNET-472] ccache for
docker builds
URL: https://github.com/apache/incubator-mxnet/pull/11096#discussion_r191979201
##
File path: ci/docker/install/centos7_install_ccache.sh
##
@@ -0,0 +1,53 @@
+#!/bin/bash
+
+#
larroy commented on a change in pull request #11096: [MXNET-472] ccache for
docker builds
URL: https://github.com/apache/incubator-mxnet/pull/11096#discussion_r191979046
##
File path: ci/docker/Dockerfile.build.android_arm64
##
@@ -18,9 +18,16 @@
#
# Dockerfile to
larroy commented on a change in pull request #11094: [MXNET-115] USE_LAPACK is
forced on all platforms with OpenBLAS and c…
URL: https://github.com/apache/incubator-mxnet/pull/11094#discussion_r191977471
##
File path: CMakeLists.txt
##
@@ -363,17 +364,17 @@ elseif(UNIX)
TaoLv commented on issue #10921: Test cases improvement for MKLDNN on Gluon
URL: https://github.com/apache/incubator-mxnet/pull/10921#issuecomment-393383591
Any other road blocks for this PR merge?
@marcoabreu Do you think we can merge these tests firstly, with those failed
tests
xinyu-intel commented on a change in pull request #11049: Add linux and macos
MKLDNN Building Instruction
URL: https://github.com/apache/incubator-mxnet/pull/11049#discussion_r191974393
##
File path: MKLDNN_README.md
##
@@ -0,0 +1,229 @@
+# Build/Install MXNet with
xinyu-intel commented on a change in pull request #11049: Add linux and macos
MKLDNN Building Instruction
URL: https://github.com/apache/incubator-mxnet/pull/11049#discussion_r191974393
##
File path: MKLDNN_README.md
##
@@ -0,0 +1,229 @@
+# Build/Install MXNet with
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new 6ef1ab4 Bump the publish
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new 6e6f87c Nightly build
piiswrong closed pull request #10817: Static memory allocation for cached_op
URL: https://github.com/apache/incubator-mxnet/pull/10817
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szha commented on issue #9767: [feature request]arg_scope in gluon
URL:
https://github.com/apache/incubator-mxnet/issues/9767#issuecomment-393365086
Seems doable with decorators and scope.
http://code.activestate.com/recipes/577382-keyword-argument-injection-with-python-decorators/
eric-haibin-lin closed pull request #11087: fix dot(csr.T, dns)=dns can't be
called on cpu and gpu
URL: https://github.com/apache/incubator-mxnet/pull/11087
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haibin pushed a commit to branch master
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The following commit(s) were added to refs/heads/master by this push:
new 8be4b8e fix dot(csr.T, dns)=dns can't
eric-haibin-lin closed pull request #10894: [MXNET-399] Elemwise_mul between
dense and csr on CPU & GPU
URL: https://github.com/apache/incubator-mxnet/pull/10894
This is a PR merged from a forked repository.
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rahul003 commented on a change in pull request #9994: [MXNET-59] Tensorboard:
Add histogram callback
URL: https://github.com/apache/incubator-mxnet/pull/9994#discussion_r189720574
##
File path: python/mxnet/contrib/tensorboard.py
##
@@ -71,3 +72,43 @@ def __call__(self,
szha commented on issue #11097: fix nd.backward when out_grad is None
URL: https://github.com/apache/incubator-mxnet/pull/11097#issuecomment-393362884
What happens currently is
https://github.com/apache/incubator-mxnet/blob/master/src/c_api/c_api_ndarray.cc#L352
which matches
szha commented on issue #11097: fix nd.backward when out_grad is None
URL: https://github.com/apache/incubator-mxnet/pull/11097#issuecomment-393362884
What happens currently is
https://github.com/apache/incubator-mxnet/blob/master/src/c_api/c_api_ndarray.cc#L352
which matches
spidyDev opened a new pull request #11106: [ONNX] Added Unsqueeze operator
import support
URL: https://github.com/apache/incubator-mxnet/pull/11106
## Description ##
ONNX Unsqueeze op maps to expand dims. Added the support.
## Checklist ##
### Essentials ###
Please feel
kpmurali opened a new pull request #11105: Navbar community fix
URL: https://github.com/apache/incubator-mxnet/pull/11105
## Description ##
The community drop-down doesn't work properly when the screen width is
drastically reduced. This is because it's sub-menu was never added to the
indhub commented on issue #11069: [MXNET-480] New version select for Install
page
URL: https://github.com/apache/incubator-mxnet/pull/11069#issuecomment-393354028
**Problem:**
If I have to give someone a link to install the latest stable Python version
on GPU, I guess I will have
anirudhacharya commented on a change in pull request #10605: [MXNET-310]
[ONNX-MXNet] API to import ONNX models into Gluon.
URL: https://github.com/apache/incubator-mxnet/pull/10605#discussion_r191953923
##
File path: python/mxnet/contrib/onnx/_import/import_onnx.py
##
@@
anirudhacharya commented on a change in pull request #10605: [MXNET-310]
[ONNX-MXNet] API to import ONNX models into Gluon.
URL: https://github.com/apache/incubator-mxnet/pull/10605#discussion_r191953906
##
File path: python/mxnet/contrib/onnx/_import/translation_utils.py
anirudhacharya commented on a change in pull request #10605: [MXNET-310]
[ONNX-MXNet] API to import ONNX models into Gluon.
URL: https://github.com/apache/incubator-mxnet/pull/10605#discussion_r191953871
##
File path: python/mxnet/contrib/onnx/_import/import_to_gluon.py
##
aaronmarkham commented on a change in pull request #11049: Add linux and macos
MKLDNN Building Instruction
URL: https://github.com/apache/incubator-mxnet/pull/11049#discussion_r191953224
##
File path: MKLDNN_README.md
##
@@ -0,0 +1,229 @@
+# Build/Install MXNet with
szha opened a new pull request #11104: allow int shape in parameter
URL: https://github.com/apache/incubator-mxnet/pull/11104
## Description ##
allow int shape in Gluon parameter
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
aaronmarkham commented on issue #11102: Updating readme to fix broken docs
status
URL: https://github.com/apache/incubator-mxnet/pull/11102#issuecomment-393350590
Thanks Thomas!
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Roshrini commented on issue #10605: [MXNET-310] [ONNX-MXNet] API to import ONNX
models into Gluon.
URL: https://github.com/apache/incubator-mxnet/pull/10605#issuecomment-393347493
Can you rename 'tests/python-pytest/onnx/import/onnx_test.py' to
aaronmarkham commented on issue #11066: migrating docs build and publish job to
secure nodes
URL: https://github.com/apache/incubator-mxnet/pull/11066#issuecomment-393346372
I wanted to get this first part working on the secure slaves. Then circle
back with combining the job if I can
haojin2 opened a new issue #11103: Problem with
test_contrib_io.test_contrib_DataLoaderIter
URL: https://github.com/apache/incubator-mxnet/issues/11103
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/incubator-mxnet/detail/PR-10931/11/pipeline/719
anirudhacharya commented on issue #11093: Some wrong with mxnet on spark:
params.jars = jars.split(",|:")
URL:
https://github.com/apache/incubator-mxnet/issues/11093#issuecomment-393343662
@nswamy
This is an automated
anirudhacharya commented on issue #11098: Installation instructions MacOS/R/CPU
don't work.
URL:
https://github.com/apache/incubator-mxnet/issues/11098#issuecomment-393342377
can you try the following link -
anirudhacharya commented on issue #10889: [MXNET-382] Shape and Size Operator
URL: https://github.com/apache/incubator-mxnet/pull/10889#issuecomment-393278649
@piiswrong Yes, it will not solve the issue. We will also need changes to
define the gradient of a shape operator. Currently shape
rahul003 commented on issue #10455: Bug of group2ctxs for model parallelism
URL:
https://github.com/apache/incubator-mxnet/issues/10455#issuecomment-392881423
Could you provide the script magic.py and the softmax implementation as an
example to investigate?
lebeg commented on a change in pull request #11053: [MXNET-244] Fixed armv7
wheel
URL: https://github.com/apache/incubator-mxnet/pull/11053#discussion_r191941010
##
File path: ci/docker/runtime_functions.sh
##
@@ -83,31 +102,40 @@ build_armv6() {
szha commented on issue #9686: APIs that might be a good idea to break in 2.0
URL:
https://github.com/apache/incubator-mxnet/issues/9686#issuecomment-393338016
#10807
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reminisce closed issue #10277: Flaky test_random.test_shuffle
URL: https://github.com/apache/incubator-mxnet/issues/10277
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ThomasDelteil opened a new pull request #11102: Updating readme to fix broken
docs status
URL: https://github.com/apache/incubator-mxnet/pull/11102
Current readme shows a broken docs build icon because the job has been
removed, fixing and adding a table to know what build is what.
KaiserSozo opened a new issue #11101: Gluon Performance and memory conumption
URL: https://github.com/apache/incubator-mxnet/issues/11101
Working under gpu, I have next code:
for i, (data) in enumerate(trainingInputs):
calcT = time.time()
data =
spidyDev commented on a change in pull request #10605: [MXNET-310] [ONNX-MXNet]
API to import ONNX models into Gluon.
URL: https://github.com/apache/incubator-mxnet/pull/10605#discussion_r191930582
##
File path: ci/docker/runtime_functions.sh
##
@@ -514,8 +514,9 @@
spidyDev commented on a change in pull request #10605: [MXNET-310] [ONNX-MXNet]
API to import ONNX models into Gluon.
URL: https://github.com/apache/incubator-mxnet/pull/10605#discussion_r191930536
##
File path: ci/docker/runtime_functions.sh
##
@@ -514,8 +514,9 @@
reminisce commented on issue #11032: Problem with load lstm model with
mx.Module's bind
URL:
https://github.com/apache/incubator-mxnet/issues/11032#issuecomment-393318792
My guess is that some operator's shape inference logic is not complete. You
mentioned it can be loaded by another
reminisce commented on issue #11079: Is it possible to apply intersection/union
on mx.nd.array
URL:
https://github.com/apache/incubator-mxnet/issues/11079#issuecomment-393311570
You can call the operators explicitly: `mx.nd.logical_and(a, b)` and
`mx.nd.logical_or(a, b)`. GPU is
marcoabreu commented on issue #11066: migrating docs build and publish job to
secure nodes
URL: https://github.com/apache/incubator-mxnet/pull/11066#issuecomment-393307188
Could you please also put the publish job into the Jenkinsfile structure -
or maybe just combine both parts into one
marcoabreu commented on issue #11066: migrating docs build and publish job to
secure nodes
URL: https://github.com/apache/incubator-mxnet/pull/11066#issuecomment-393307188
Could you please also put the publish job into the Jenkinsfile structure?
Roshrini commented on a change in pull request #10605: [MXNET-310] [ONNX-MXNet]
API to import ONNX models into Gluon.
URL: https://github.com/apache/incubator-mxnet/pull/10605#discussion_r191900033
##
File path: python/mxnet/contrib/onnx/_import/import_onnx.py
##
@@
Roshrini commented on a change in pull request #10605: [MXNET-310] [ONNX-MXNet]
API to import ONNX models into Gluon.
URL: https://github.com/apache/incubator-mxnet/pull/10605#discussion_r191898713
##
File path: python/mxnet/contrib/onnx/_import/import_model.py
##
@@
piiswrong commented on issue #10970: [MXNET-424] dtype option for multinomial
URL: https://github.com/apache/incubator-mxnet/pull/10970#issuecomment-393279769
otherwise LGTM
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piiswrong commented on a change in pull request #10970: [MXNET-424] dtype
option for multinomial
URL: https://github.com/apache/incubator-mxnet/pull/10970#discussion_r191885873
##
File path: src/operator/random/sample_multinomial_op.h
##
@@ -67,6 +70,10 @@ inline bool
anirudhacharya commented on issue #10889: [MXNET-382] Shape and Size Operator
URL: https://github.com/apache/incubator-mxnet/pull/10889#issuecomment-393278649
@piiswrong Yes, it will not solve the issue. We will also need changes to
define the gradient of a shape operator. Currently shape
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 5109b00 added ravel/unravel operators
piiswrong closed issue #10203: [Operator] unravel_index and ravel_multi_index
URL: https://github.com/apache/incubator-mxnet/issues/10203
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piiswrong closed pull request #11025: added ravel/unravel operators
URL: https://github.com/apache/incubator-mxnet/pull/11025
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:
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anirudhacharya commented on issue #10889: [MXNET-382] Shape and Size Operator
URL: https://github.com/apache/incubator-mxnet/pull/10889#issuecomment-393278649
@piiswrong Yes, it will not solve the issue. We will also need changes to
define the gradient of a shape operator. Currently shape
piiswrong commented on issue #10889: [MXNET-382] Shape and Size Operator
URL: https://github.com/apache/incubator-mxnet/pull/10889#issuecomment-393273816
shape_nd still sounds weird as it's also available in symbol.
BTW I think these operators can be useful but they won't solve the
piiswrong closed pull request #11051: Fix DQN example
URL: https://github.com/apache/incubator-mxnet/pull/11051
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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 005f677 setup.sh and fix visualization
reminisce commented on a change in pull request #10889: [MXNET-382] Shape and
Size Operator
URL: https://github.com/apache/incubator-mxnet/pull/10889#discussion_r191868114
##
File path: src/operator/mshadow_op.h
##
@@ -96,6 +96,12 @@ struct identity_with_cast {
}
};
reminisce commented on a change in pull request #10889: [MXNET-382] Shape and
Size Operator
URL: https://github.com/apache/incubator-mxnet/pull/10889#discussion_r191872060
##
File path: src/operator/tensor/elemwise_unary_op.h
##
@@ -388,6 +388,43 @@ void CastCompute(const
piiswrong commented on issue #11097: fix nd.backward when out_grad is None
URL: https://github.com/apache/incubator-mxnet/pull/11097#issuecomment-393262851
What would trigger this bug? I think x.backward() was working?
This
piiswrong commented on issue #11097: fix nd.backward when out_grad is None
URL: https://github.com/apache/incubator-mxnet/pull/11097#issuecomment-393262701
could you add a test?
This is an automated message from the Apache
anirudhacharya commented on a change in pull request #10605: [MXNET-310]
[ONNX-MXNet] API to import ONNX models into Gluon.
URL: https://github.com/apache/incubator-mxnet/pull/10605#discussion_r191867452
##
File path: python/mxnet/contrib/onnx/_import/import_model.py
##
spidyDev commented on a change in pull request #10605: [MXNET-310] [ONNX-MXNet]
API to import ONNX models into Gluon.
URL: https://github.com/apache/incubator-mxnet/pull/10605#discussion_r191865666
##
File path: tests/python-pytest/onnx/gluon_backend.py
##
@@ -0,0 +1,111
spidyDev commented on a change in pull request #10605: [MXNET-310] [ONNX-MXNet]
API to import ONNX models into Gluon.
URL: https://github.com/apache/incubator-mxnet/pull/10605#discussion_r191863028
##
File path: python/mxnet/contrib/onnx/_import/import_model.py
##
@@
spidyDev commented on a change in pull request #10605: [MXNET-310] [ONNX-MXNet]
API to import ONNX models into Gluon.
URL: https://github.com/apache/incubator-mxnet/pull/10605#discussion_r191866364
##
File path: tests/python-pytest/onnx/mxnet_backend.py
##
@@ -74,80 +74,6
Roshrini commented on a change in pull request #10605: [MXNET-310] [ONNX-MXNet]
API to import ONNX models into Gluon.
URL: https://github.com/apache/incubator-mxnet/pull/10605#discussion_r191865487
##
File path: tests/python-pytest/onnx/mxnet_backend_rep.py
##
@@ -16,18
Roshrini commented on a change in pull request #10605: [MXNET-310] [ONNX-MXNet]
API to import ONNX models into Gluon.
URL: https://github.com/apache/incubator-mxnet/pull/10605#discussion_r191864714
##
File path: python/mxnet/contrib/onnx/_import/translation_utils.py
##
@@
reminisce commented on issue #11099: Fancy indexing with a list instead of a
tuple
URL:
https://github.com/apache/incubator-mxnet/issues/11099#issuecomment-393256981
Thanks for reporting this. There are some concerns about inconsistent
indexing behavior using lists in the numpy world.
spidyDev commented on issue #10605: [MXNET-310] [ONNX-MXNet] API to import ONNX
models into Gluon.
URL: https://github.com/apache/incubator-mxnet/pull/10605#issuecomment-393256706
Please create a folder inside python-pytest/onnx for "import", and move all
the import specific files in
zheng-da commented on issue #10433: [MXNET-290] MKLDNN support for model
quantization
URL: https://github.com/apache/incubator-mxnet/pull/10433#issuecomment-393250740
@marcoabreu i also saw this failure many times. do you have any idea what is
going on?
lebeg commented on a change in pull request #11053: [MXNET-244] Fixed armv7
wheel
URL: https://github.com/apache/incubator-mxnet/pull/11053#discussion_r191843584
##
File path: ci/docker/runtime_functions.sh
##
@@ -83,31 +102,40 @@ build_armv6() {
ptrendx commented on a change in pull request #11041: gpu mem pool strategy
URL: https://github.com/apache/incubator-mxnet/pull/11041#discussion_r191843458
##
File path: src/storage/pooled_storage_manager.h
##
@@ -71,7 +78,7 @@ class GPUPooledStorageManager final : public
lebeg commented on a change in pull request #11094: [MXNET-115] USE_LAPACK is
forced on all platforms with OpenBLAS and c…
URL: https://github.com/apache/incubator-mxnet/pull/11094#discussion_r191840897
##
File path: CMakeLists.txt
##
@@ -363,17 +364,17 @@ elseif(UNIX)
szha commented on a change in pull request #11094: [MXNET-115] USE_LAPACK is
forced on all platforms with OpenBLAS and c…
URL: https://github.com/apache/incubator-mxnet/pull/11094#discussion_r191838201
##
File path: CMakeLists.txt
##
@@ -363,17 +364,17 @@ elseif(UNIX)
szha commented on a change in pull request #11053: [MXNET-244] Fixed armv7 wheel
URL: https://github.com/apache/incubator-mxnet/pull/11053#discussion_r191837181
##
File path: ci/docker/runtime_functions.sh
##
@@ -83,31 +102,40 @@ build_armv6() {
lebeg opened a new issue #11100: Installation instructions for Windows don't
work
URL: https://github.com/apache/incubator-mxnet/issues/11100
In the [Installing MXNet in
Windows](https://mxnet.incubator.apache.org/install/windows_setup.html)
instructions there is a paragraph:
>
jakobetzel commented on issue #10791: Unable to install mxnet in R 3.5.0
URL:
https://github.com/apache/incubator-mxnet/issues/10791#issuecomment-393218491
@jeremiedb I do apologise, I was trying to install on Ubuntu. Sorry for
inconveniences.
JeanKossaifi opened a new issue #11099: Fancy indexing with a list instead of a
tuple
URL: https://github.com/apache/incubator-mxnet/issues/11099
Currently, MXNet's fancy indexing will fail when indexing with a list rather
than a tuple (while it works with NumPy or PyTorch).
lebeg commented on a change in pull request #11053: [MXNET-244] Fixed armv7
wheel
URL: https://github.com/apache/incubator-mxnet/pull/11053#discussion_r191825737
##
File path: ci/docker/runtime_functions.sh
##
@@ -83,31 +102,40 @@ build_armv6() {
pwn1 opened a new issue #11098: Installation instructions MacOS/R/CPU don't
work.
URL: https://github.com/apache/incubator-mxnet/issues/11098
## Description
(Brief description of the problem in no more than 2 sentences.)
Doing the installation exactly as indicated on the website
jinhuang415 commented on issue #10433: [MXNET-290] MKLDNN support for model
quantization
URL: https://github.com/apache/incubator-mxnet/pull/10433#issuecomment-393196924
@reminisce @zheng-da We have resolved all the comments, would you help to
check if you have further comments on the
jinhuang415 commented on issue #10433: [MXNET-290] MKLDNN support for model
quantization
URL: https://github.com/apache/incubator-mxnet/pull/10433#issuecomment-393196924
@reminisce @zheng-da We have resolved all the comments, would you help to
check if you have further comments on the
chinakook commented on issue #11062: how to manually occupy all gpu memory like
tensorflow?
URL:
https://github.com/apache/incubator-mxnet/issues/11062#issuecomment-393196433
It’s better to do like this when you have a Tesla card to prevent other
process using the card.
However, Your
xinyu-intel commented on issue #11086: Infer shape error with softmaxoutput
URL:
https://github.com/apache/incubator-mxnet/issues/11086#issuecomment-393192905
Yes, you are right. By the way, is it possible to automatically perform
flatten before softmax when the softmax input is such (N,
chinakook commented on issue #11091: Symbolic .json file not compatible with
.params file generated since MXNet 1.2
URL:
https://github.com/apache/incubator-mxnet/issues/11091#issuecomment-393192105
Using a module to save_checkpoint or gluon’s export would be OK. Getting
mixed with
chinakook commented on issue #11086: Infer shape error with softmaxoutput
URL:
https://github.com/apache/incubator-mxnet/issues/11086#issuecomment-393190465
Flattern is just OK. It’s not bug.
This is an automated message
chinakook commented on issue #10889: [MXNET-382] Shape and Size Operator
URL: https://github.com/apache/incubator-mxnet/pull/10889#issuecomment-393185610
If we have a symbol A with 4 dims, and how can I get the 1-dim size of
shape_nd(A) result?
It’s straightforward in Keras and
chinakook commented on issue #10789: Reshape of input array when the shape is
available only at runtime is not possible
URL:
https://github.com/apache/incubator-mxnet/issues/10789#issuecomment-393185133
To get the shape of symbol is very important in some condition. It can be
done as
chinakook commented on issue #11094: [MXNET-115] USE_LAPACK is forced on all
platforms with OpenBLAS and c…
URL: https://github.com/apache/incubator-mxnet/pull/11094#issuecomment-393168668
Mkl also has lapack95, but it’s not supported by mxnet.
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