szha commented on issue #9767: [feature request]arg_scope in gluon
URL:
https://github.com/apache/incubator-mxnet/issues/9767#issuecomment-365531227
@dongzhuoyao I'm not sure if I follow. How do you intend to change the
batch-norm behavior? Would you provide an example?
--
marcoabreu commented on issue #9625: sparse regression operators
URL: https://github.com/apache/incubator-mxnet/pull/9625#issuecomment-365534913
" c:\jenkins_slave\workspace\build-cpu@3\src\operator\mxnet_op.h(456):
fatal error C1002: compiler is out of heap space in pass 2
[C:\jenkins_sl
marcoabreu commented on issue #9771: Modify NDArrayIter constructor to receive
tuple (i.e. dict in Python)?
URL: https://github.com/apache/incubator-mxnet/pull/9771#issuecomment-365535322
@nswamy do you have an idea?
This is
chowkamlee81 opened a new issue #9792: Any versions of NASNet/ShuffleNet models
available in mxnet?
URL: https://github.com/apache/incubator-mxnet/issues/9792
Any official versions of pretrained models NASNet/ShuffleNet available?
--
tutnixzursache commented on issue #8530: Fatal JVM Error due to Exception in
CustomOpProp#inferTypeEntry
URL:
https://github.com/apache/incubator-mxnet/issues/8530#issuecomment-365561448
Sorry, I've switched to eaplatanios/tensorflow_scala in the mean time.
Back in November my hack was
marcoabreu commented on issue #9791: CI test randomness 3
URL: https://github.com/apache/incubator-mxnet/pull/9791#issuecomment-365562226
Very nice feature, thanks a lot for putting so much effort into this!
This is an automat
marcoabreu commented on a change in pull request #9791: CI test randomness 3
URL: https://github.com/apache/incubator-mxnet/pull/9791#discussion_r168135862
##
File path: tests/python/unittest/common.py
##
@@ -30,3 +35,190 @@ def assertRaises(expected_exception, func, *args,
tdomhan commented on issue #9405: BucketingModule causes uncaught exception if
symbol name not specified
URL:
https://github.com/apache/incubator-mxnet/issues/9405#issuecomment-365563721
+1 for this. This is actually a very annoying bug.
---
marcoabreu commented on a change in pull request #9791: CI test randomness 3
URL: https://github.com/apache/incubator-mxnet/pull/9791#discussion_r168137438
##
File path: tests/python/unittest/test_gluon.py
##
@@ -530,13 +562,19 @@ def __init__(self, **kwargs):
mode
marcoabreu commented on a change in pull request #9791: CI test randomness 3
URL: https://github.com/apache/incubator-mxnet/pull/9791#discussion_r168137653
##
File path: tests/python/unittest/test_autograd.py
##
@@ -360,8 +373,12 @@ def backward(self, dm, dn):
assert
marcoabreu commented on a change in pull request #9791: CI test randomness 3
URL: https://github.com/apache/incubator-mxnet/pull/9791#discussion_r168138105
##
File path: tests/python/unittest/test_operator.py
##
@@ -2265,18 +2317,18 @@ def check_instance_norm_with_shape(sha
szha commented on issue #8627: Documentation update for gluon.nn.Dense.
`flatten` invalid keyword argument.
URL:
https://github.com/apache/incubator-mxnet/issues/8627#issuecomment-365592375
@apache/mxnet-committers: This issue has been inactive for the past 90 days.
It has no label and ne
marcoabreu commented on issue #9791: CI test randomness 3
URL: https://github.com/apache/incubator-mxnet/pull/9791#issuecomment-365594449
```
==
FAIL: test_operator.test_rcbrt_op
marcoabreu commented on issue #9791: CI test randomness 3
URL: https://github.com/apache/incubator-mxnet/pull/9791#issuecomment-365594780
Would it be possible to write a test for this feature? Especially around the
``with random_seed():``
---
juliusshufan opened a new pull request #9793: Enable the reporting of
cross-entropy or nll loss value when training CNN network using the models
defined by example/image-classification
URL: https://github.com/apache/incubator-mxnet/pull/9793
## Description ##
MxNET already implements th
kthr opened a new issue #9794: MKL linker error on macOS 10.13 despite using
configuration without MKL
URL: https://github.com/apache/incubator-mxnet/issues/9794
## Description
Compiling from source on macOS 10.13.3 gives the following linker errors:
```
/opt/local/bin/ranlib: file
eric-haibin-lin commented on issue #9213: Crash when MXNet API called before
spawning multiprocess
URL:
https://github.com/apache/incubator-mxnet/issues/9213#issuecomment-365602224
Before #8995 using Gluon data loader w/ num_workers > 2 will result:
```
terminate called after throwin
rahul003 commented on a change in pull request #8373: distribute training in
fp16
URL: https://github.com/apache/incubator-mxnet/pull/8373#discussion_r168215044
##
File path: src/kvstore/kvstore_dist_server.h
##
@@ -378,25 +379,46 @@ class KVStoreDistServer {
if (req_
rahul003 commented on issue #8373: distribute training in fp16
URL: https://github.com/apache/incubator-mxnet/pull/8373#issuecomment-365647665
I have merged and rebased this onto master, and I see this error.
```what(): [15:42:31] src/kvstore/././kvstore_dist_server.h:484: Check
fai
rahul003 commented on issue #8373: distribute training in fp16
URL: https://github.com/apache/incubator-mxnet/pull/8373#issuecomment-365648029
Wondering if this has to do with fp16 being half of fp32, and 6/3=2...
This is an a
rahul003 commented on issue #8373: distribute training in fp16
URL: https://github.com/apache/incubator-mxnet/pull/8373#issuecomment-365647665
I have merged and rebased this onto master, and I see this error.
```what(): [15:42:31] src/kvstore/././kvstore_dist_server.h:484: Check
fai
rahul003 commented on issue #8373: distribute training in fp16
URL: https://github.com/apache/incubator-mxnet/pull/8373#issuecomment-365648029
Wondering if this has to do with fp16 being half of fp32, and 6/3=2...
This is an a
sethah commented on issue #9777: [MX-9588] Add micro averaging strategy for F1
metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#issuecomment-365664996
Obviously, no change is expected since none of the update logic was changed
here.
**Before**
```
Metric
sethah commented on a change in pull request #9777: [MX-9588] Add micro
averaging strategy for F1 metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#discussion_r168239411
##
File path: tests/python/unittest/test_metric.py
##
@@ -56,18 +55,51 @@ def test_acc():
rahul003 commented on issue #8373: distribute training in fp16
URL: https://github.com/apache/incubator-mxnet/pull/8373#issuecomment-365677294
I'm seeing that fp16 with dist_sync_device is slower than fp32 on a cluster
of 2 p3.8x instances. (volta gpus)
imagenet-benchmark-alexnet
cjolivier01 closed pull request #9789: add activations doc
URL: https://github.com/apache/incubator-mxnet/pull/9789
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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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 581cf90 add activations doc (#978
anirudh2290 commented on issue #9417: [cpp-package] inception_bn.cpp is wrong
URL:
https://github.com/apache/incubator-mxnet/issues/9417#issuecomment-365699089
@marcoabreu
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anirudh2290 commented on issue #9187: Cannot find mxnet-cpp/op.h
URL:
https://github.com/apache/incubator-mxnet/issues/9187#issuecomment-365699186
@marcoabreu
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anirudh2290 commented on issue #9018: Seg Fault on MNIST example - C++
URL:
https://github.com/apache/incubator-mxnet/issues/9018#issuecomment-365699297
@marcoabreu
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T
sxjscience commented on a change in pull request #9777: [MX-9588] Add micro
averaging strategy for F1 metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#discussion_r168266829
##
File path: tests/python/unittest/test_metric.py
##
@@ -56,18 +55,51 @@ def test_ac
sethah commented on a change in pull request #9777: [MX-9588] Add micro
averaging strategy for F1 metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#discussion_r168281425
##
File path: tests/python/unittest/test_metric.py
##
@@ -56,18 +55,51 @@ def test_acc():
DavoFranco commented on issue #8921: windows7::can not stop mxnet process
URL:
https://github.com/apache/incubator-mxnet/issues/8921#issuecomment-365716835
same error on Windows...using anaconda...it is weird because it was working
a few days ago
-
safrooze commented on issue #9213: Crash when MXNet API called before spawning
multiprocess
URL:
https://github.com/apache/incubator-mxnet/issues/9213#issuecomment-365717182
I confirm that this issue is fixed as of 1.0.0.post1 release.
-
safrooze closed issue #9213: Crash when MXNet API called before spawning
multiprocess
URL: https://github.com/apache/incubator-mxnet/issues/9213
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piiswrong commented on issue #9793: Enable the reporting of cross-entropy or
nll loss value when training CNN network using the models defined by
example/image-classification
URL: https://github.com/apache/incubator-mxnet/pull/9793#issuecomment-365717847
This seems too ad-hoc. Its better t
zhreshold commented on a change in pull request #9784: Fix for the case where
there are no detections
URL: https://github.com/apache/incubator-mxnet/pull/9784#discussion_r168291198
##
File path: example/ssd/detect/detector.py
##
@@ -136,31 +132,52 @@ class names
h
piiswrong commented on a change in pull request #9790: make array.reshape
compatible with numpy
URL: https://github.com/apache/incubator-mxnet/pull/9790#discussion_r168293201
##
File path: python/mxnet/ndarray/ndarray.py
##
@@ -926,12 +926,12 @@ def _at(self, idx):
piiswrong commented on a change in pull request #9790: make array.reshape
compatible with numpy
URL: https://github.com/apache/incubator-mxnet/pull/9790#discussion_r168293562
##
File path: python/mxnet/ndarray/ndarray.py
##
@@ -968,6 +973,14 @@ def reshape(self, shape):
piiswrong commented on a change in pull request #9777: [MX-9588] Add micro
averaging strategy for F1 metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#discussion_r168295539
##
File path: python/mxnet/metric.py
##
@@ -475,8 +475,84 @@ def update(self, labels,
piiswrong commented on a change in pull request #9777: [MX-9588] Add micro
averaging strategy for F1 metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#discussion_r168295625
##
File path: python/mxnet/metric.py
##
@@ -475,8 +475,84 @@ def update(self, labels,
piiswrong commented on issue #9688: Adapt operators from PyTorch, will keep
adding
URL: https://github.com/apache/incubator-mxnet/pull/9688#issuecomment-365733960
I think its more appropriate to call the BilinearResize
This i
piiswrong commented on a change in pull request #9492: fix print_summary bug
and add groups of convolution
URL: https://github.com/apache/incubator-mxnet/pull/9492#discussion_r168301264
##
File path: python/mxnet/visualization.py
##
@@ -134,17 +134,23 @@ def print_layer_su
piiswrong commented on issue #9029: Update ndarray binary ops to use kernel
launch instead of mshadow operations
URL: https://github.com/apache/incubator-mxnet/pull/9029#issuecomment-365736266
@rahul003 ping
This is an automa
piiswrong closed pull request #9318: simplify import of citation metadata
URL: https://github.com/apache/incubator-mxnet/pull/9318
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 forei
katrinleinweber opened a new pull request #9318: simplify import of citation
metadata
URL: https://github.com/apache/incubator-mxnet/pull/9318
This is a copy of the BibTeX snippet from https://arxiv.org/abs/1512.01274
incorporated into the repo as suggested in
https://www.software.ac.uk/b
cjolivier01 commented on issue #9784: Fix for the case where there are no
detections
URL: https://github.com/apache/incubator-mxnet/pull/9784#issuecomment-365740723
Is there a class somewhere with 'class_idx" defined as something other than
zero?
--
cjolivier01 commented on issue #9784: Fix for the case where there are no
detections
URL: https://github.com/apache/incubator-mxnet/pull/9784#issuecomment-365740723
Is there a class somewhere with 'CLASS" defined as something other than zero?
---
szha commented on a change in pull request #9790: make array.reshape compatible
with numpy
URL: https://github.com/apache/incubator-mxnet/pull/9790#discussion_r168315437
##
File path: python/mxnet/ndarray/ndarray.py
##
@@ -968,6 +973,14 @@ def reshape(self, shape):
szha commented on a change in pull request #9790: make array.reshape compatible
with numpy
URL: https://github.com/apache/incubator-mxnet/pull/9790#discussion_r168315361
##
File path: python/mxnet/ndarray/ndarray.py
##
@@ -926,12 +926,12 @@ def _at(self, idx):
szha commented on a change in pull request #9777: [MX-9588] Add micro averaging
strategy for F1 metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#discussion_r168317776
##
File path: python/mxnet/metric.py
##
@@ -475,8 +475,84 @@ def update(self, labels, preds
szha commented on a change in pull request #9492: fix print_summary bug and add
groups of convolution
URL: https://github.com/apache/incubator-mxnet/pull/9492#discussion_r168318967
##
File path: python/mxnet/visualization.py
##
@@ -134,20 +134,26 @@ def print_layer_summary
marcoabreu commented on issue #9018: Seg Fault on MNIST example - C++
URL:
https://github.com/apache/incubator-mxnet/issues/9018#issuecomment-365755507
I'm afraid I can't be of help here
This is an automated message from the
marcoabreu commented on issue #9018: Seg Fault on MNIST example - C++
URL:
https://github.com/apache/incubator-mxnet/issues/9018#issuecomment-365755507
I'm afraid I can't be of help here
This is an automated message from the
szha commented on a change in pull request #9777: [MX-9588] Add micro averaging
strategy for F1 metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#discussion_r168324990
##
File path: python/mxnet/metric.py
##
@@ -475,8 +475,84 @@ def update(self, labels, preds
cjolivier01 commented on a change in pull request #9793: Enable the reporting
of cross-entropy or nll loss value when training CNN network using the models
defined by example/image-classification
URL: https://github.com/apache/incubator-mxnet/pull/9793#discussion_r168325934
##
File
cjolivier01 commented on a change in pull request #9793: Enable the reporting
of cross-entropy or nll loss value when training CNN network using the models
defined by example/image-classification
URL: https://github.com/apache/incubator-mxnet/pull/9793#discussion_r168324964
##
File
cjolivier01 commented on a change in pull request #9793: Enable the reporting
of cross-entropy or nll loss value when training CNN network using the models
defined by example/image-classification
URL: https://github.com/apache/incubator-mxnet/pull/9793#discussion_r168325934
##
File
zheng-da commented on issue #9677: Refactor operators and add MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/9677#issuecomment-365764910
@marcoabreu the requests have been fixed. can you approve it?
This is an auto
rahul003 commented on issue #9774: mx.io.ImageRecordIter does not respect dtype
argument
URL:
https://github.com/apache/incubator-mxnet/issues/9774#issuecomment-365769322
Thanks for the explanation.
Btw, is training in fp16 supposed to be ~2x faster than fp32 for a given
batch siz
rahul003 commented on issue #9774: mx.io.ImageRecordIter does not respect dtype
argument
URL:
https://github.com/apache/incubator-mxnet/issues/9774#issuecomment-365769322
Thanks for the explanation.
Btw, is training in fp16 supposed to be ~2x faster than fp32 for a given
batch siz
rahul003 commented on issue #9774: mx.io.ImageRecordIter does not respect dtype
argument
URL:
https://github.com/apache/incubator-mxnet/issues/9774#issuecomment-365769322
Thanks for the explanation.
Btw, is training in fp16 supposed to be ~2x faster than fp32 for a given
batch siz
ptrendx commented on issue #9774: mx.io.ImageRecordIter does not respect dtype
argument
URL:
https://github.com/apache/incubator-mxnet/issues/9774#issuecomment-365780010
There are few possible explanations.
The most probable reason is workspace size for convolutions. I tried
pitching @
rahul003 commented on issue #9774: mx.io.ImageRecordIter does not respect dtype
argument
URL:
https://github.com/apache/incubator-mxnet/issues/9774#issuecomment-365780748
Thanks, this
[blogpost](http://docs.nvidia.com/deeplearning/sdk/mixed-precision-training/index.html)
mentions trainin
sandeep-krishnamurthy commented on issue #9794: MKL linker error on macOS 10.13
despite using configuration without MKL
URL:
https://github.com/apache/incubator-mxnet/issues/9794#issuecomment-365780663
Hi,
* Issue looks similar to
https://github.com/apache/incubator-mxnet/issues/37
sandeep-krishnamurthy commented on issue #9792: Any versions of
NASNet/ShuffleNet models available in mxnet?
URL:
https://github.com/apache/incubator-mxnet/issues/9792#issuecomment-365781031
Hi, For examples and usability questions, please ask at -
https://discuss.mxnet.io/
Resolv
sandeep-krishnamurthy closed issue #9792: Any versions of NASNet/ShuffleNet
models available in mxnet?
URL: https://github.com/apache/incubator-mxnet/issues/9792
This is an automated message from the Apache Git Service.
To r
rahul003 commented on issue #9774: mx.io.ImageRecordIter does not respect dtype
argument
URL:
https://github.com/apache/incubator-mxnet/issues/9774#issuecomment-365780748
Thanks, this
[blogpost](http://docs.nvidia.com/deeplearning/sdk/mixed-precision-training/index.html)
mentions trainin
sandeep-krishnamurthy commented on issue #9765: Installation with GPU on Fedora
27?
URL:
https://github.com/apache/incubator-mxnet/issues/9765#issuecomment-365783147
Hi, if CUDA library path is the issue, did you try compiling by passing the
CUDA path. Something like below.
```
make
sethah commented on a change in pull request #9777: [MX-9588] Add micro
averaging strategy for F1 metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#discussion_r168348423
##
File path: python/mxnet/metric.py
##
@@ -475,8 +475,84 @@ def update(self, labels, pre
arnaghizadeh commented on issue #9765: Installation with GPU on Fedora 27?
URL:
https://github.com/apache/incubator-mxnet/issues/9765#issuecomment-365784660
@sandeep-krishnamurthy I tried that but it did not work in the end I had to
reinstall the CUDA and NVIDIA driver with a different rep
sandeep-krishnamurthy commented on issue #9764: Large batch size does not
improve predict speed
URL:
https://github.com/apache/incubator-mxnet/issues/9764#issuecomment-365785272
Hi @gaosanyuan - I think this question can get answer faster on discuss -
https://discuss.mxnet.io/latest
So
sandeep-krishnamurthy closed issue #9764: Large batch size does not improve
predict speed
URL: https://github.com/apache/incubator-mxnet/issues/9764
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sandeep-krishnamurthy commented on issue #9763: Too many header files need to
be included when using C++ api
URL:
https://github.com/apache/incubator-mxnet/issues/9763#issuecomment-365785982
There is discussion started by MXNet community to address this issue. Please
chime in to provide y
sandeep-krishnamurthy commented on issue #9762: Should MXNet also support
logical operations?
URL:
https://github.com/apache/incubator-mxnet/issues/9762#issuecomment-365786530
+1
For logical operators in symbolic interface.
--
sandeep-krishnamurthy commented on issue #9760: How can I pad images using
mx.nd.pad?
URL:
https://github.com/apache/incubator-mxnet/issues/9760#issuecomment-365786901
MXNet supports and is more efficient with channels_first format only.
Resolving.
For usability question, please ask
sandeep-krishnamurthy closed issue #9760: How can I pad images using mx.nd.pad?
URL: https://github.com/apache/incubator-mxnet/issues/9760
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sandeep-krishnamurthy commented on issue #9758: unknown output shape before
inference
URL:
https://github.com/apache/incubator-mxnet/issues/9758#issuecomment-365787342
@cccorn - Asking usability questions at discuss - https://discuss.mxnet.io/
will yield faster response.
piiswrong commented on issue #9772: ndarray indexing issues
URL:
https://github.com/apache/incubator-mxnet/issues/9772#issuecomment-365788276
@reminisce
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sandeep-krishnamurthy commented on issue #9750: Any ideas how to implement
Z-Buffer algorithm?
URL:
https://github.com/apache/incubator-mxnet/issues/9750#issuecomment-365788604
Resolving here.
@ShownX as Anirudh mentioned, please ask this query at -
https://discuss.mxnet.io/
-
sandeep-krishnamurthy closed issue #9750: Any ideas how to implement Z-Buffer
algorithm?
URL: https://github.com/apache/incubator-mxnet/issues/9750
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sandeep-krishnamurthy commented on issue #9699: MXNet pip package installs
older version of numpy (1.13)
URL:
https://github.com/apache/incubator-mxnet/issues/9699#issuecomment-365789074
This issue occurs, when I create a conda environment with numpy and later in
the environment, I instal
sandeep-krishnamurthy commented on issue #9702: [Post 1.1.0] Apply PR #9701 to
the master branch
URL:
https://github.com/apache/incubator-mxnet/issues/9702#issuecomment-365789310
@mbaijal - Any update on this issue. Can be resolved?
szha commented on issue #9699: MXNet pip package installs older version of
numpy (1.13)
URL:
https://github.com/apache/incubator-mxnet/issues/9699#issuecomment-365793086
Does conda allow multiple versions of the same package in the same
environment?
--
anirudh2290 opened a new pull request #9795: Add tests for Exception Handling
in Iterators
URL: https://github.com/apache/incubator-mxnet/pull/9795
## Description ##
This adds additional tests for exception handling in Iterators. This
requires the following PR to be merged:
https://git
reminisce commented on issue #9772: ndarray indexing issues
URL:
https://github.com/apache/incubator-mxnet/issues/9772#issuecomment-365808285
The problem is that in MXNet, `integer_types` are defined as native python
integer types: `int` and `long`, while `np.int32` and `np.int64` are diff
reminisce commented on issue #9743: from tensorboard import SummaryWriter wrong
URL:
https://github.com/apache/incubator-mxnet/issues/9743#issuecomment-365809418
`tensorboard` has been changed to refer to the TensorFlow's TensorBoard in
PyPI.
--
dwSun commented on a change in pull request #9614: MobileNetV2
URL: https://github.com/apache/incubator-mxnet/pull/9614#discussion_r168369399
##
File path: python/mxnet/gluon/model_zoo/vision/mobilenet.py
##
@@ -74,13 +123,69 @@ def hybrid_forward(self, F, x):
x =
dwSun commented on issue #9614: MobileNetV2
URL: https://github.com/apache/incubator-mxnet/pull/9614#issuecomment-365812147
for reference, this is the struct I am using:
```
input shape stride output shape
# conv2d
224x224x3 2 112x112x32
# bottleneck
11
szha commented on a change in pull request #9777: [MX-9588] Add micro averaging
strategy for F1 metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#discussion_r168373771
##
File path: python/mxnet/metric.py
##
@@ -503,21 +582,27 @@ class F1(EvalMetric):
la
anirudh2290 commented on issue #9772: ndarray indexing issues
URL:
https://github.com/apache/incubator-mxnet/issues/9772#issuecomment-365816203
@reminisce I wasnt able to reproduce the issue for python 2. The int type
changed in python3 and not related to numpy classes
---
szha commented on a change in pull request #9777: [MX-9588] Add micro averaging
strategy for F1 metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#discussion_r168374258
##
File path: python/mxnet/metric.py
##
@@ -503,21 +582,27 @@ class F1(EvalMetric):
la
reminisce commented on issue #9772: ndarray indexing issues
URL:
https://github.com/apache/incubator-mxnet/issues/9772#issuecomment-365816759
@anirudh2290 Have you tried the following?
```python
Python 2.7.14 |Anaconda custom (64-bit)| (default, Oct 5 2017, 02:28:52)
[GCC 4.2.1 C
szha commented on issue #9614: MobileNetV2
URL: https://github.com/apache/incubator-mxnet/pull/9614#issuecomment-365818591
Would you mind adding the variants to
`tests/python/unittest/test_gluon_model_zoo.py`?
This is an auto
szha commented on issue #9614: MobileNetV2
URL: https://github.com/apache/incubator-mxnet/pull/9614#issuecomment-365818591
LGTM. Would you mind adding the variants to
`tests/python/unittest/test_gluon_model_zoo.py`?
This is a
szha commented on issue #9614: MobileNetV2
URL: https://github.com/apache/incubator-mxnet/pull/9614#issuecomment-365818591
LGTM. Would you mind adding the variants to
`tests/python/unittest/test_gluon_model_zoo.py`? Click the unchecked checkbox
at the top of this PR once you're done.
szha commented on issue #9614: MobileNetV2
URL: https://github.com/apache/incubator-mxnet/pull/9614#issuecomment-365818872
@zhreshold please approve once you confirm that it's implemented correctly.
This is an automated messag
DickJC123 commented on a change in pull request #9791: CI test randomness 3
URL: https://github.com/apache/incubator-mxnet/pull/9791#discussion_r168375948
##
File path: tests/python/unittest/test_gluon.py
##
@@ -530,13 +562,19 @@ def __init__(self, **kwargs):
model
szha commented on a change in pull request #9790: make array.reshape compatible
with numpy
URL: https://github.com/apache/incubator-mxnet/pull/9790#discussion_r168375961
##
File path: python/mxnet/ndarray/ndarray.py
##
@@ -968,6 +973,14 @@ def reshape(self, shape):
DickJC123 commented on a change in pull request #9791: CI test randomness 3
URL: https://github.com/apache/incubator-mxnet/pull/9791#discussion_r168376036
##
File path: tests/python/unittest/test_autograd.py
##
@@ -360,8 +373,12 @@ def backward(self, dm, dn):
assert_
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