anirudh2290 commented on a change in pull request #10374: Sparse support for
Custom Op
URL: https://github.com/apache/incubator-mxnet/pull/10374#discussion_r179910358
##
File path: python/mxnet/operator.py
##
@@ -522,6 +525,71 @@ def infer_type(self, in_type):
ret
anirudh2290 commented on a change in pull request #10374: Sparse support for
Custom Op
URL: https://github.com/apache/incubator-mxnet/pull/10374#discussion_r179910359
##
File path: src/operator/custom/custom.cc
##
@@ -266,97 +292,243 @@ OpStatePtr CreateState(const NodeAtt
anirudh2290 commented on a change in pull request #10374: Sparse support for
Custom Op
URL: https://github.com/apache/incubator-mxnet/pull/10374#discussion_r179910356
##
File path: tests/python/unittest/test_operator.py
##
@@ -4059,14 +4080,100 @@ def create_operator(self,
anirudh2290 commented on a change in pull request #10374: Sparse support for
Custom Op
URL: https://github.com/apache/incubator-mxnet/pull/10374#discussion_r179910335
##
File path: tests/python/unittest/test_operator.py
##
@@ -4059,14 +4080,100 @@ def create_operator(self,
Godricly opened a new issue #9704: Misleading Document for conv1d and max1d in
gluon
URL: https://github.com/apache/incubator-mxnet/issues/9704
The document claims to support 'NWC' layout, while it actually not.
my current mxnet version is mxnet-cu80 (1.0.0.post4).
@zhreshold @ml
Godricly commented on issue #9704: Misleading Document for conv1d and max1d in
gluon
URL:
https://github.com/apache/incubator-mxnet/issues/9704#issuecomment-379437062
@gianlucacorrado reopened
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eric-haibin-lin commented on issue #10453: Bug of CuDNN RNN with variable
sequence length
URL:
https://github.com/apache/incubator-mxnet/issues/10453#issuecomment-379435652
@szha how much memory consumption did you observe?
One thing to try is to can run the code step by step and figure
szha commented on issue #10453: Bug of CuDNN RNN with variable sequence length
URL:
https://github.com/apache/incubator-mxnet/issues/10453#issuecomment-379435474
I was able to finish running the script by setting `export
MXNET_GPU_MEM_POOL_RESERVE=7`
--
haojin2 commented on issue #10454: Improve row_sparse tutorial
URL: https://github.com/apache/incubator-mxnet/pull/10454#issuecomment-379435064
LGTM!
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eric-haibin-lin opened a new pull request #10454: Improve row_sparse tutorial
URL: https://github.com/apache/incubator-mxnet/pull/10454
## Description ##
@haojin2
## Checklist ##
### Essentials ###
- [ ] Passed code style checking (`make lint`)
- [ ] Changes are complete
lvyong1943 commented on issue #9662: Gluon PReLU, ELU, SELU, Swish
URL: https://github.com/apache/incubator-mxnet/pull/9662#issuecomment-379434049
@szha I just run the mlp.cpp file, when it run this lineļ¼
Executor* exe = new Executor(sym_out, ctx_dev, in_args,
arg_grad_store,grad_req_t
sandeep-krishnamurthy closed issue #8883: Fatal error on dot operation between
dense and sparse vectors
URL: https://github.com/apache/incubator-mxnet/issues/8883
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sxjscience closed issue #10073: NaN in loss when using gluon ELU block
URL: https://github.com/apache/incubator-mxnet/issues/10073
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szhengac commented on issue #10453: Bug of CuDNN RNN with variable sequence
length
URL:
https://github.com/apache/incubator-mxnet/issues/10453#issuecomment-379429151
The bug occurs when we have variable sequence length. I think it may be
related to how the mxnet reuses the memory.
--
szhengac commented on issue #10453: Bug of CuDNN RNN with variable sequence
length
URL:
https://github.com/apache/incubator-mxnet/issues/10453#issuecomment-379429151
The bug occurs when we have variable sequence length. I think it may be
related to how the mxnet reuse the memory.
---
szhengac commented on issue #10453: Bug of CuDNN RNN with variable sequence
length
URL:
https://github.com/apache/incubator-mxnet/issues/10453#issuecomment-379429151
The bug occurs when have variable sequence length. I think it may be related
to how the mxnet reuse the memory.
--
anirudh2290 commented on issue #10073: NaN in loss when using gluon ELU block
URL:
https://github.com/apache/incubator-mxnet/issues/10073#issuecomment-379428890
Since we didnt get a MWE can we close this ? @sxjscience
This i
anirudh2290 commented on issue #8883: Fatal error on dot operation between
dense and sparse vectors
URL:
https://github.com/apache/incubator-mxnet/issues/8883#issuecomment-379428000
@sandeep-krishnamurthy @marfago this is fixed by the Exception handling
change. Can this be closed ?
-
anirudh2290 commented on issue #10452: [MXNET-294] Fix element wise multiply
for csr ndarrays
URL: https://github.com/apache/incubator-mxnet/pull/10452#issuecomment-379427072
Can you add a test which calls elemwise_mul with same ndarray ?
---
sxjscience commented on issue #10453: Bug of CuDNN RNN with variable sequence
length
URL:
https://github.com/apache/incubator-mxnet/issues/10453#issuecomment-379426878
The following code, which always use `seq_len=500` will not trigger the seg
fault. This is a very critical bug.
``
sxjscience opened a new issue #10453: Bug of CuDNN RNN with variable sequence
length
URL: https://github.com/apache/incubator-mxnet/issues/10453
## Description
Segfault will be triggered by the following code:
```python
from mxnet.gluon.rnn import LSTM
import mxnet as mx
rahul003 opened a new pull request #10452: [MXNET-294] Fix element wise
multiply for csr ndarrays
URL: https://github.com/apache/incubator-mxnet/pull/10452
## Description ##
Fixes Issue https://github.com/apache/incubator-mxnet/issues/10431
[JIRA](https://issues.apache.org/jira/browse
roywei commented on issue #8337: mx.autograd.grad works or fails depending on
use of slices
URL:
https://github.com/apache/incubator-mxnet/issues/8337#issuecomment-379423074
@kpot may I know what's the purpose of slice? let's say if you want a[0:2],
how you want to use it?
`a[0:4]` is
gautamkmr commented on issue #10185: [Documentation][Installation][macOS]
Building From Source Has Incomplete Instructions For macOS 10.13.3
URL:
https://github.com/apache/incubator-mxnet/issues/10185#issuecomment-379422915
That sounds more to me like a feature request than bug/installati
gautamkmr commented on issue #10445: Make the numpy version compatible with
Official Mac OS system python-2.7.10's numpy
URL: https://github.com/apache/incubator-mxnet/pull/10445#issuecomment-379422251
@marcoabreu if you want a pinned version for CI then you have to tell me
which numpy is
zheng-da opened a new pull request #10451: [WIP] Add Foreach
URL: https://github.com/apache/incubator-mxnet/pull/10451
## Description ##
This PR adds a control flow operator: foreach. It takes a Python function as
input and run the function over the elements in the input array. foreach i
sxjscience commented on issue #9171: MXNet: Using FusedRNNCell with its
"bidirectional" flag turned True, can lead to hanging of training run.
URL:
https://github.com/apache/incubator-mxnet/issues/9171#issuecomment-379421985
The error message:
```
Traceback (most recent call last):
anirudhacharya opened a new pull request #10450: [R] Fix Random Samplers from
Uniform and Gaussian distribution in R bindings
URL: https://github.com/apache/incubator-mxnet/pull/10450
## Description ##
Sampling from uniform and normal distribution is currently broken in mxnet's
R bindin
kpmurali opened a new pull request #10449: [MXNET-293] Navigation updates
URL: https://github.com/apache/incubator-mxnet/pull/10449
## Description ##
Updates to the website navigation to be in line with the new organization.
### Changes ###
- [ x ] Add ONNX to Docs
- [ x ] R
aaronmarkham commented on issue #10286: [MXNET-250] CSS and .htaccess fix
URL: https://github.com/apache/incubator-mxnet/pull/10286#issuecomment-379421679
This is fine for now. Package links can be re-enabled later.
This is an
aaronmarkham commented on issue #10013: [MXNET-48] update on setting up Scala
with MXNet and the IntelliJ IDE
URL: https://github.com/apache/incubator-mxnet/pull/10013#issuecomment-379420740
@eric-haibin-lin @nswamy - resolved the conflict.
-
eric-haibin-lin commented on a change in pull request #10374: Sparse support
for Custom Op
URL: https://github.com/apache/incubator-mxnet/pull/10374#discussion_r179902293
##
File path: src/operator/custom/custom.cc
##
@@ -266,97 +292,243 @@ OpStatePtr CreateState(const Nod
szha commented on issue #8714: win10 cuda8.0 vs2013 compile problem
URL:
https://github.com/apache/incubator-mxnet/issues/8714#issuecomment-379418123
@apache/mxnet-committers: This issue has been inactive for the past 90 days.
It has no label and needs triage.
For general "how-to" q
pengzhao-intel commented on issue #10442: use correct prop_kind for mkl-dnn FC
layer
URL: https://github.com/apache/incubator-mxnet/pull/10442#issuecomment-379417618
Looks good to pass a parameter (is_train) to FC OP and we can do further
optimizations for the inference :)
--
szhengac commented on issue #10388: [MXNET-265] Update optimizer doc to clarify
wd behaviors
URL: https://github.com/apache/incubator-mxnet/pull/10388#issuecomment-379409027
wd needs to be merged into the gradient before taking the clipping. I list
one example as below, but this also exis
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jxie pushed a commit to branch master
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The following commit(s) were added to refs/heads/master by this push:
new 6f6a1dc [MXNET-291] Fix an ndarray index
piiswrong closed pull request #10440: [MXNET-291] Fix an ndarray indexing bug
with index -1
URL: https://github.com/apache/incubator-mxnet/pull/10440
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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ThomasDelteil commented on issue #9622: Unable to reproduce the published mAP
for example/ssd with VGGNET model VOC0712 data
URL:
https://github.com/apache/incubator-mxnet/issues/9622#issuecomment-379408023
I confirm this is still the case:
`INFO:root:Epoch[239] Validation-mAP=0.709660
cjolivier01 closed pull request #10447: Reduce emails
URL: https://github.com/apache/incubator-mxnet/pull/10447
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the sake of provenance:
As this is a foreign pull request (fr
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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 4f306c9 Reduce emails (#10447)
4f
conradwt commented on issue #10185: [Documentation][Installation][macOS]
Building From Source Has Incomplete Instructions For macOS 10.13.3
URL:
https://github.com/apache/incubator-mxnet/issues/10185#issuecomment-379407064
In general, it may be also a good idea to install both the includ
conradwt commented on issue #10185: [Documentation][Installation][macOS]
Building From Source Has Incomplete Instructions For macOS 10.13.3
URL:
https://github.com/apache/incubator-mxnet/issues/10185#issuecomment-379407064
In general, it may be also a good idea to install both the includ
wentingj commented on a change in pull request #10433: [MXNET-290] MKLDNN
support for model quantization
URL: https://github.com/apache/incubator-mxnet/pull/10433#discussion_r179894359
##
File path: src/operator/nn/pooling.cc
##
@@ -368,7 +368,11 @@ height, width)*.
})
.
piiswrong commented on a change in pull request #10374: Sparse support for
Custom Op
URL: https://github.com/apache/incubator-mxnet/pull/10374#discussion_r179893617
##
File path: tests/python/unittest/test_operator.py
##
@@ -4059,14 +4080,100 @@ def create_operator(self, c
piiswrong commented on a change in pull request #10374: Sparse support for
Custom Op
URL: https://github.com/apache/incubator-mxnet/pull/10374#discussion_r179893667
##
File path: python/mxnet/operator.py
##
@@ -522,6 +525,71 @@ def infer_type(self, in_type):
retur
piiswrong commented on a change in pull request #10374: Sparse support for
Custom Op
URL: https://github.com/apache/incubator-mxnet/pull/10374#discussion_r179893577
##
File path: tests/python/unittest/test_operator.py
##
@@ -4059,14 +4080,100 @@ def create_operator(self, c
indhub commented on a change in pull request #10437: [MXNET-171] Fix a bug that
was causing training accuracy to be printed as nan sometimes
URL: https://github.com/apache/incubator-mxnet/pull/10437#discussion_r179893166
##
File path: python/mxnet/module/base_module.py
##
reminisce commented on issue #8799: Dangling outputs and dtype != float32:
Gradient computation fails
URL:
https://github.com/apache/incubator-mxnet/issues/8799#issuecomment-379404238
Minimum reproducible script:
```python
import mxnet as mx
from mxnet import autograd
d
eric-haibin-lin commented on issue #10041: Reduce operators do not support
axis=None
URL:
https://github.com/apache/incubator-mxnet/issues/10041#issuecomment-379403843
fixed
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eric-haibin-lin closed issue #10041: Reduce operators do not support axis=None
URL: https://github.com/apache/incubator-mxnet/issues/10041
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sxjscience commented on issue #9171: MXNet: Using FusedRNNCell with its
"bidirectional" flag turned True, can lead to hanging of training run.
URL:
https://github.com/apache/incubator-mxnet/issues/9171#issuecomment-379403301
Looks similar. I'm trying to give a MWE.
---
eric-haibin-lin commented on issue #10388: [MXNET-265] Update optimizer doc to
clarify wd behaviors
URL: https://github.com/apache/incubator-mxnet/pull/10388#issuecomment-379401680
Ah, good point. I'll change that, too.
This
gautamkmr commented on issue #10445: Make the numpy version compatible with
Official Mac OS system python-2.7.10's numpy
URL: https://github.com/apache/incubator-mxnet/pull/10445#issuecomment-379401659
@marcoabreu so my fix for setup.py was for the people who are runnning the
old version
eric-haibin-lin commented on issue #9171: MXNet: Using FusedRNNCell with its
"bidirectional" flag turned True, can lead to hanging of training run.
URL:
https://github.com/apache/incubator-mxnet/issues/9171#issuecomment-379400334
Hi @DickJC123 this is the issue I mentioned with fused RNN w
ThomasDelteil opened a new pull request #10448: [MXNET-292] Added social media
handles
URL: https://github.com/apache/incubator-mxnet/pull/10448
[MXNET-292](https://issues.apache.org/jira/browse/MXNET-292)
Adding social medial handles
indhub commented on a change in pull request #10437: [MXNET-171] Fix a bug that
was causing training accuracy to be printed as nan sometimes
URL: https://github.com/apache/incubator-mxnet/pull/10437#discussion_r179886054
##
File path: python/mxnet/module/base_module.py
##
cjolivier01 opened a new pull request #10447: Reduce emails
URL: https://github.com/apache/incubator-mxnet/pull/10447
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
indhub commented on a change in pull request #10437: [MXNET-171] Fix a bug that
was causing training accuracy to be printed as nan sometimes
URL: https://github.com/apache/incubator-mxnet/pull/10437#discussion_r179886054
##
File path: python/mxnet/module/base_module.py
##
roywei commented on issue #2116: Shape of labels does not match shape of
predictions
URL:
https://github.com/apache/incubator-mxnet/issues/2116#issuecomment-379395082
@helloworldlxb @Matafight this issue should be fix by PR #10446
-
aidan-plenert-macdonald commented on issue #10002: General support of OPs for
second-order gradient
URL:
https://github.com/apache/incubator-mxnet/issues/10002#issuecomment-379390764
@dmacd Probably not as fast as you would like it to be. This is my side-side
project, so I put a few hours
dmacd commented on issue #10002: General support of OPs for second-order
gradient
URL:
https://github.com/apache/incubator-mxnet/issues/10002#issuecomment-379389732
Hi there. My team is keenly interested in building on mxnet but we are
starting to look at techniques requiring higher order
reminisce commented on issue #8836: Backward shape inconsistent with custom
HybridBlock and gluon.loss
URL:
https://github.com/apache/incubator-mxnet/issues/8836#issuecomment-379384364
@MoritzMaxeiner Thanks for the answers. Since the latest code is working
fine, can we close the ticket f
roywei opened a new pull request #10446: [WIP][MXNET-173]fix acc metric shape
miss match
URL: https://github.com/apache/incubator-mxnet/pull/10446
## Description ##
fix issue #2116
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
zheng-da commented on issue #10317: [MXNET-264] Improve performance of MKLDNN
in small batch sizes.
URL: https://github.com/apache/incubator-mxnet/pull/10317#issuecomment-379372569
@cjolivier01 are you OK with the PR?
This is
gautamkmr commented on issue #10185: [Documentation][Installation][macOS]
Building From Source Has Incomplete Instructions For macOS 10.13.3
URL:
https://github.com/apache/incubator-mxnet/issues/10185#issuecomment-379371543
@conradwt probably not the best guess, but I will just rename li
gautamkmr commented on issue #10185: [Documentation][Installation][macOS]
Building From Source Has Incomplete Instructions For macOS 10.13.3
URL:
https://github.com/apache/incubator-mxnet/issues/10185#issuecomment-379371543
@conradwt probably not the best guess, but I will just rename li
aaronmarkham commented on a change in pull request #10391: [MXNET-139] Tutorial
for mixed precision training with float16
URL: https://github.com/apache/incubator-mxnet/pull/10391#discussion_r179855937
##
File path: docs/tutorials/python/float16.md
##
@@ -0,0 +1,280 @@
+#
ankkhedia commented on a change in pull request #10424: Improved error message
URL: https://github.com/apache/incubator-mxnet/pull/10424#discussion_r179857275
##
File path: python/mxnet/gluon/block.py
##
@@ -458,7 +458,11 @@ def _build_cache(self, *args):
aaronmarkham commented on a change in pull request #10391: [MXNET-139] Tutorial
for mixed precision training with float16
URL: https://github.com/apache/incubator-mxnet/pull/10391#discussion_r179855253
##
File path: docs/tutorials/python/float16.md
##
@@ -0,0 +1,280 @@
+#
aaronmarkham commented on a change in pull request #10391: [MXNET-139] Tutorial
for mixed precision training with float16
URL: https://github.com/apache/incubator-mxnet/pull/10391#discussion_r179856414
##
File path: docs/tutorials/python/float16.md
##
@@ -0,0 +1,280 @@
+#
aaronmarkham commented on a change in pull request #10391: [MXNET-139] Tutorial
for mixed precision training with float16
URL: https://github.com/apache/incubator-mxnet/pull/10391#discussion_r179854574
##
File path: docs/tutorials/python/float16.md
##
@@ -0,0 +1,280 @@
+#
aaronmarkham commented on a change in pull request #10391: [MXNET-139] Tutorial
for mixed precision training with float16
URL: https://github.com/apache/incubator-mxnet/pull/10391#discussion_r179853936
##
File path: docs/tutorials/python/float16.md
##
@@ -0,0 +1,280 @@
+#
aaronmarkham commented on a change in pull request #10391: [MXNET-139] Tutorial
for mixed precision training with float16
URL: https://github.com/apache/incubator-mxnet/pull/10391#discussion_r179856242
##
File path: docs/tutorials/python/float16.md
##
@@ -0,0 +1,280 @@
+#
aaronmarkham commented on a change in pull request #10391: [MXNET-139] Tutorial
for mixed precision training with float16
URL: https://github.com/apache/incubator-mxnet/pull/10391#discussion_r179855576
##
File path: docs/tutorials/python/float16.md
##
@@ -0,0 +1,280 @@
+#
sxjscience closed issue #10305: Segment fault on the latest master
URL: https://github.com/apache/incubator-mxnet/issues/10305
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MoritzMaxeiner commented on issue #8836: Backward shape inconsistent with
custom HybridBlock and gluon.loss
URL:
https://github.com/apache/incubator-mxnet/issues/8836#issuecomment-379354690
@reminisce Ah, ok. W.r.t. reproducing: I haven't encountered the issue [in
1.0 or
1.1](https://git
MoritzMaxeiner commented on issue #8836: Backward shape inconsistent with
custom HybridBlock and gluon.loss
URL:
https://github.com/apache/incubator-mxnet/issues/8836#issuecomment-379354690
@reminisce Ah, ok. W.r.t. reproducing: I haven't encountered the issue [in
1.0 or
1.1](https://git
gautamkmr commented on issue #10445: Make the numpy version compatible with
Official Mac OS system python-2.7.10's numpy
URL: https://github.com/apache/incubator-mxnet/pull/10445#issuecomment-379352196
@marcoabreu @sandeep-krishnamurthy
---
gautamkmr commented on issue #10426: Make the numpy version compatible with
Official Mac OS system python-2.7.10's numpy
URL: https://github.com/apache/incubator-mxnet/pull/10426#issuecomment-379352135
Messed up with my github branch... creating a new one here
https://github.com/apa
reminisce commented on a change in pull request #10410: Fix output names of nn
operators.
URL: https://github.com/apache/incubator-mxnet/pull/10410#discussion_r179851415
##
File path: tests/python/unittest/test_operator.py
##
@@ -5444,6 +5444,21 @@ def get_output_names_cal
gautamkmr opened a new pull request #10445: Make the numpy version compatible
with Official Mac OS system python-2.7.10's numpy
URL: https://github.com/apache/incubator-mxnet/pull/10445
## Description ##
MAC OS system python-2.7.10 comes with default numpy version 1.8.0.rc1
We have to
gautamkmr closed pull request #10426: Make the numpy version compatible with
Official Mac OS system python-2.7.10's numpy
URL: https://github.com/apache/incubator-mxnet/pull/10426
This is a PR merged from a forked repository.
As GitHub hides the original diff on merge, it is displayed bel
marcoabreu commented on issue #10426: Make the numpy version compatible with
Official Mac OS system python-2.7.10's numpy
URL: https://github.com/apache/incubator-mxnet/pull/10426#issuecomment-379343488
We use CentOS for legacy environment tests. Pinning the version there allows
us to test
szhengac commented on issue #10388: [MXNET-265] Update optimizer doc to clarify
wd behaviors
URL: https://github.com/apache/incubator-mxnet/pull/10388#issuecomment-379343414
It also needs to be modified for adadelta
https://github.com/eric-haibin-lin/mxnet/blob/e05933d9e0f9ad60f99e
reminisce commented on issue #8048: Bug in backprop for the transpose of a
transpose
URL:
https://github.com/apache/incubator-mxnet/issues/8048#issuecomment-379342136
@dmadeka I was trying to debug this issue, but couldn't reproduce it using
the latest master branch code. My script is as
marcoabreu commented on a change in pull request #10426: Make the numpy version
compatible with Official Mac OS system python-2.7.10's numpy
URL: https://github.com/apache/incubator-mxnet/pull/10426#discussion_r179843477
##
File path: ci/docker/install/ubuntu_python.sh
##
gautamkmr commented on issue #10426: Make the numpy version compatible with
Official Mac OS system python-2.7.10's numpy
URL: https://github.com/apache/incubator-mxnet/pull/10426#issuecomment-379341085
@marcoabreu Why would it require to have pinned version ?
setup.py might always
ajayvohra2005 closed issue #10037: Example SSD prepare dataset toos are
incompatible with im2rec in MxNet 1.1
URL: https://github.com/apache/incubator-mxnet/issues/10037
This is an automated message from the Apache Git Servi
marcoabreu commented on a change in pull request #10426: Make the numpy version
compatible with Official Mac OS system python-2.7.10's numpy
URL: https://github.com/apache/incubator-mxnet/pull/10426#discussion_r179842525
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File path: ci/docker/install/centos7_python.sh
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sandeep-krishnamurthy commented on a change in pull request #10426: Make the
numpy version compatible with Official Mac OS system python-2.7.10's numpy
URL: https://github.com/apache/incubator-mxnet/pull/10426#discussion_r179839786
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File path: ci/docker/install/centos7_python.sh
imsheridan opened a new pull request #10444: Fix minor math equation rendering
format in NDArray API doc strings
URL: https://github.com/apache/incubator-mxnet/pull/10444
This PR is to fix minor math equation rendering format in [NDArrary
API](https://mxnet.incubator.apache.org/api/python/
gautamkmr commented on issue #10426: Make the numpy version compatible with
Official Mac OS system python-2.7.10's numpy
URL: https://github.com/apache/incubator-mxnet/pull/10426#issuecomment-379328419
@sandeep-krishnamurthy rebased it , that commit got pushed after I posted
this PR.
reminisce commented on issue #8836: Backward shape inconsistent with custom
HybridBlock and gluon.loss
URL:
https://github.com/apache/incubator-mxnet/issues/8836#issuecomment-379326128
@MoritzMaxeiner Sorry should have made question clearer. I wanted to know
that if you could reproduce th
ThomasDelteil commented on issue #10037: Example SSD prepare dataset toos are
incompatible with im2rec in MxNet 1.1
URL:
https://github.com/apache/incubator-mxnet/issues/10037#issuecomment-379326080
@ajayvohra2005 the fix has been merged into master, please consider closing
the issue, tha
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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 4efbbf5 [MXNET-176] Support axis=None fo
piiswrong closed pull request #10405: [MXNET-176] Support axis=None for sum
operator
URL: https://github.com/apache/incubator-mxnet/pull/10405
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 th
ashokei commented on issue #10442: use correct prop_kind for mkl-dnn FC layer
URL: https://github.com/apache/incubator-mxnet/pull/10442#issuecomment-379325534
i have not noticed performance changes; But if mkl-dnn optimizes for
inference in future, this change will make it transparently/aut
zheng-da commented on issue #10442: use correct prop_kind for mkl-dnn FC layer
URL: https://github.com/apache/incubator-mxnet/pull/10442#issuecomment-379324555
@ashokei does the incorrect prop_kind cause perf issues?
This is a
piiswrong commented on a change in pull request #10437: [MXNET-171] Fix a bug
that was causing training accuracy to be printed as nan sometimes
URL: https://github.com/apache/incubator-mxnet/pull/10437#discussion_r179824119
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File path: python/mxnet/module/base_module.py
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nswamy closed issue #8530: Fatal JVM Error due to Exception in
CustomOpProp#inferTypeEntry
URL: https://github.com/apache/incubator-mxnet/issues/8530
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