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
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
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
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
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
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
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
##
sxjscience closed issue #10305: Segment fault on the latest master
URL: https://github.com/apache/incubator-mxnet/issues/10305
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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
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
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
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
##
File path: ci/docker/install/centos7_python.sh
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
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
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
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
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
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
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
##
File path: ci/docker/install/centos7_python.sh
##
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 @@
+#
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_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_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_r179855937
##
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_r179855576
##
File path: docs/tutorials/python/float16.md
##
@@ -0,0 +1,280 @@
+#
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
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
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
##
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
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
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
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):
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
##
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
the sake of
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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 6f6a1dc [MXNET-291] Fix an 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.
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
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"
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
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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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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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):
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,
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,
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
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 :)
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
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
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
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
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]
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
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
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
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
##
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.
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]`
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
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
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
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.
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
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.
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)*.
})
cjolivier01 closed pull request #10447: Reduce emails
URL: https://github.com/apache/incubator-mxnet/pull/10447
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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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)
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
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 ]
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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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,
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 closed issue #10073: NaN in loss when using gluon ELU block
URL: https://github.com/apache/incubator-mxnet/issues/10073
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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
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
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 ?
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 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 we have variable sequence length. I think it may be
related to how the mxnet reuse the memory.
reminisce commented on a change in pull request #10434: [MXNET-155] Add support
for np.int32 and np.int64 as basic index types
URL: https://github.com/apache/incubator-mxnet/pull/10434#discussion_r179672250
##
File path: python/mxnet/ndarray/ndarray.py
##
@@ -102,6
reminisce commented on a change in pull request #10434: [MXNET-155] Add support
for np.int32 and np.int64 as basic index types
URL: https://github.com/apache/incubator-mxnet/pull/10434#discussion_r179671984
##
File path: tests/python/unittest/test_sparse_ndarray.py
##
@@
reminisce commented on a change in pull request #10434: [MXNET-155] Add support
for np.int32 and np.int64 as basic index types
URL: https://github.com/apache/incubator-mxnet/pull/10434#discussion_r179672250
##
File path: python/mxnet/ndarray/ndarray.py
##
@@ -102,6
szha commented on issue #8532: mxnet-mkl (v0.12.0) crash when using
(conda-installed) numpy with MKL
URL:
https://github.com/apache/incubator-mxnet/issues/8532#issuecomment-379156918
Unless intel provides a static library for libiomp5 built with -fPIC flag,
or drop the dependency on it,
reminisce commented on issue #10433: Merge to master last
URL: https://github.com/apache/incubator-mxnet/pull/10433#issuecomment-379157028
@wentingj Could you change the title to the one describing the topic
precisely?
This
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marcoabreu 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 582ec40 [MXNET-287] ARMv6 build
marcoabreu commented on issue #10398: [MXNET-287] ARMv6 build with 8-10 times
bigger file size
URL:
https://github.com/apache/incubator-mxnet/issues/10398#issuecomment-379245219
Fixed as of
https://github.com/apache/incubator-mxnet/commit/582ec4015dff60a6ae6ff25f32cf4b1e3b65925a
marcoabreu closed issue #10398: [MXNET-287] ARMv6 build with 8-10 times bigger
file size
URL: https://github.com/apache/incubator-mxnet/issues/10398
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marcoabreu 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_r179752389
##
File path: tests/python/quantization/test_quantization_mkldnn.py
##
@@ -0,0 +1,309
lebeg commented on issue #10439: [MXNET-287] ARMv6 build with 8-10 times bigger
file size
URL: https://github.com/apache/incubator-mxnet/pull/10439#issuecomment-379235579
@larroy what do you mean?
This is an automated
MoritzMaxeiner commented on issue #8836: Backward shape inconsistent with
custom HybridBlock and gluon.loss
URL:
https://github.com/apache/incubator-mxnet/issues/8836#issuecomment-379242737
@reminisce I'm unsure as to what you're asking, specifically. The script
should ideally have
dimon777 closed issue #9912: No training happening when CSVIter() is used.
URL: https://github.com/apache/incubator-mxnet/issues/9912
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reminisce commented on a change in pull request #10424: Improved error message
URL: https://github.com/apache/incubator-mxnet/pull/10424#discussion_r179667151
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File path: python/mxnet/gluon/block.py
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@@ -458,7 +458,11 @@ def _build_cache(self, *args):
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zhreshold 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 b4161b0 [MXNET-288] Fix ssd
zhreshold closed pull request #10427: [MXNET-288] Fix ssd example
URL: https://github.com/apache/incubator-mxnet/pull/10427
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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As this is a foreign
marcoabreu 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_r179747474
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File path: tests/python/quantization/test_quantization_mkldnn.py
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@@ -0,0 +1,309
xinyu-intel 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_r179751807
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File path: tests/python/quantization/test_quantization_mkldnn.py
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@@ -0,0
dimon777 commented on issue #9912: No training happening when CSVIter() is used.
URL:
https://github.com/apache/incubator-mxnet/issues/9912#issuecomment-379252206
Nice! Thanks for taking a look at this. Closing now.
This is
marcoabreu 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_r179747207
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File path: tests/python/quantization/test_quantization_mkldnn.py
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@@ -0,0 +1,309
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