piiswrong commented on a change in pull request #7393: add depthwise
convolution's gpu version optimization
URL: https://github.com/apache/incubator-mxnet/pull/7393#discussion_r132094838
##
File path: tests/python/unittest/test_operator.py
##
@@ -955,6 +955,40 @@ def
piiswrong commented on a change in pull request #7393: add depthwise
convolution's gpu version optimization
URL: https://github.com/apache/incubator-mxnet/pull/7393#discussion_r132094170
##
File path: tests/python/unittest/test_operator.py
##
@@ -955,6 +955,40 @@ def
piiswrong commented on a change in pull request #7393: add depthwise
convolution's gpu version optimization
URL: https://github.com/apache/incubator-mxnet/pull/7393#discussion_r132093497
##
File path: src/operator/convolution-inl.h
##
@@ -97,6 +98,8 @@ struct
piiswrong closed pull request #7391: Update CONTRIBUTORS.md
URL: https://github.com/apache/incubator-mxnet/pull/7391
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crazy-cat opened a new pull request #7393: add depthwise convolution's gpu
version optimization
URL: https://github.com/apache/incubator-mxnet/pull/7393
As the cudnn is not optimized for depthwise convolution, we optimized the
gpu version of depthwise 2D convolution.
The training
szha closed pull request #7392: update for cudnn7 for rnn changes
URL: https://github.com/apache/incubator-mxnet/pull/7392
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szha commented on issue #7392: update for cudnn7 for rnn changes
URL: https://github.com/apache/incubator-mxnet/pull/7392#issuecomment-321150940
#7347 already covers this
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piiswrong commented on a change in pull request #7347: Tensorcore conv deconv
support
URL: https://github.com/apache/incubator-mxnet/pull/7347#discussion_r132088512
##
File path: src/operator/cudnn_algoreg-inl.h
##
@@ -40,12 +65,17 @@ class CuDNNAlgoReg {
oss <<
piiswrong commented on a change in pull request #7347: Tensorcore conv deconv
support
URL: https://github.com/apache/incubator-mxnet/pull/7347#discussion_r132088433
##
File path: src/operator/cudnn_algoreg-inl.h
##
@@ -40,12 +65,17 @@ class CuDNNAlgoReg {
oss <<
piiswrong commented on a change in pull request #7347: Tensorcore conv deconv
support
URL: https://github.com/apache/incubator-mxnet/pull/7347#discussion_r132088433
##
File path: src/operator/cudnn_algoreg-inl.h
##
@@ -40,12 +65,17 @@ class CuDNNAlgoReg {
oss <<
szha commented on issue #7304: [WIP] gluon bce & ctc losses
URL: https://github.com/apache/incubator-mxnet/pull/7304#issuecomment-321144365
Updating the interface now for potential integration with cudnn7. Do not
merge yet.
szha opened a new pull request #7392: update for cudnn7 for rnn changes
URL: https://github.com/apache/incubator-mxnet/pull/7392
This is to reflect a change in `cudnnSetRNNDescriptor` in cudnn 7, and
should enable building with cudnn7.
nikrao commented on issue #7390: adding ranking metrics (precision/recall) at
position K.
URL: https://github.com/apache/incubator-mxnet/pull/7390#issuecomment-321143824
fixed. pylint checks pass now.
This is an
eric-haibin-lin commented on a change in pull request #7390: adding ranking
metrics (precision/recall) at position K.
URL: https://github.com/apache/incubator-mxnet/pull/7390#discussion_r132081575
##
File path: python/mxnet/ranking_metrics.py
##
@@ -0,0 +1,45 @@
+"""
+A
kkk669 opened a new pull request #7391: Update CONTRIBUTORS.md
URL: https://github.com/apache/incubator-mxnet/pull/7391
Because my patches have been merged in #6908 and #6927.
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zhreshold commented on issue #7376: MXbox -- a simple and flexible vision
toolbox for mxnet framework.
URL:
https://github.com/apache/incubator-mxnet/issues/7376#issuecomment-321130007
Good intuition and hitting the point, but seems like there's a lot of
duplicated function with gluon
LakeCarrot commented on issue #5837: Error caused by two different dependencies
in protobuf version when using both distributed mode and tensorboard
URL:
https://github.com/apache/incubator-mxnet/issues/5837#issuecomment-321120862
I met the same problem, MXNet v0.10.0-support and Ubuntu
szha commented on issue #7381: fix [#7368] Caffe converter test fails, causing
CI to halt for all PRs
URL: https://github.com/apache/incubator-mxnet/pull/7381#issuecomment-321121243
Thanks, @joey2014. Please revert the removed test cases.
LakeCarrot commented on issue #5837: Error caused by two different dependencies
in protobuf version when using both distributed mode and tensorboard
URL:
https://github.com/apache/incubator-mxnet/issues/5837#issuecomment-321120862
I met the same problem, with MXNet v0.10.0-support and
joey2014 commented on issue #7381: fix [#7368] Caffe converter test fails,
causing CI to halt for all PRs
URL: https://github.com/apache/incubator-mxnet/pull/7381#issuecomment-321120896
Yes, I have test it locally. The fix works
INFO:root:test performance of model: vgg-16
LakeCarrot commented on issue #5837: Error caused by two different dependencies
in protobuf version when using both distributed mode and tensorboard
URL:
https://github.com/apache/incubator-mxnet/issues/5837#issuecomment-321120862
I met the same problem, with MXNet v0.10.0support and
qingzhouzhen closed issue #7386: How could I define function for GPU only?
URL: https://github.com/apache/incubator-mxnet/issues/7386
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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 44c2bfe Clarify definition of
piiswrong closed pull request #7365: Clarify definition of cross-entropy metric
in the documentation (clean up PR #7291)
URL: https://github.com/apache/incubator-mxnet/pull/7365
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joey2014 commented on a change in pull request #7381: fix [#7368] Caffe
converter test fails, causing CI to halt for all PRs
URL: https://github.com/apache/incubator-mxnet/pull/7381#discussion_r132065167
##
File path: tools/caffe_converter/convert_symbol.py
##
@@ -128,6
piiswrong closed pull request #7379: Add license header
URL: https://github.com/apache/incubator-mxnet/pull/7379
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szha commented on issue #7264: gluon conv rnns
URL: https://github.com/apache/incubator-mxnet/pull/7264#issuecomment-321104507
@ykim362 I tried adding dim=5 extension in MKL but didn't get it to work.
For now I will use 1D conv as test.
thirdwing commented on issue #7375: Can I set instance weight when training?
URL:
https://github.com/apache/incubator-mxnet/issues/7375#issuecomment-321101775
@regzhuce The output of Makeloss is the gradient. See
ZihengJiang commented on issue #7319: [RoadMap] Legacy issue resolution before
1.0 release
URL:
https://github.com/apache/incubator-mxnet/issues/7319#issuecomment-321099604
Should enable multiple times resource requests
piiswrong closed pull request #7388: Update conv_layers.py
URL: https://github.com/apache/incubator-mxnet/pull/7388
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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 4c13b96 Update conv_layers.py (#7388)
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jxie pushed a commit to branch master
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new 07661ae decouple record/train and add
eric-haibin-lin commented on issue #7082: Sparse Tensor: request for reviews
URL: https://github.com/apache/incubator-mxnet/pull/7082#issuecomment-321096175
Hi everyone,
I've updated the branch to include code changes to address comments from
reviewers (except the discussion re:
nikrao opened a new pull request #7390: adding ranking metrics
(precision/recall) at position K.
URL: https://github.com/apache/incubator-mxnet/pull/7390
The file takes in data in dictionary format, for both predictions and ground
truth.
Ranking problems are very common in
lxn2 commented on issue #7379: Add license header
URL: https://github.com/apache/incubator-mxnet/pull/7379#issuecomment-321092807
Can we merge?
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szha commented on issue #7264: gluon conv rnns
URL: https://github.com/apache/incubator-mxnet/pull/7264#issuecomment-321091550
@ykim362 looks like a problem in MKL concat. The following code causes the
same error when using MKL version to do 5 dim concat
```
stefanhenneking commented on a change in pull request #7226: Extending the GPU
dot operator
URL: https://github.com/apache/incubator-mxnet/pull/7226#discussion_r132040459
##
File path: src/operator/tensor/dot-inl.cuh
##
@@ -353,27 +640,308 @@ inline void
thirdwing opened a new pull request #7389: [R] im2rec in R. close #7273
URL: https://github.com/apache/incubator-mxnet/pull/7389
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eric-haibin-lin closed pull request #7015: RowSparse pull/push
URL: https://github.com/apache/incubator-mxnet/pull/7015
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ptrendx commented on issue #7319: [RoadMap] Legacy issue resolution before 1.0
release
URL:
https://github.com/apache/incubator-mxnet/issues/7319#issuecomment-321081480
For me the biggest feature mxnet lacks is consistent and full documentation
and tutorials. Gluon tutorial seems to be
szha commented on issue #7376: MXbox -- a simple and flexible vision toolbox
for mxnet framework.
URL:
https://github.com/apache/incubator-mxnet/issues/7376#issuecomment-321074332
@Lyken17 nice! It's great to see the contribution. I'd make similar
suggestion as Eric for the following
Lyken17 commented on issue #7376: MXbox -- a simple and flexible vision toolbox
for mxnet framework.
URL:
https://github.com/apache/incubator-mxnet/issues/7376#issuecomment-321065474
I am going to apply for graduate schools this fall, so the time I can spend
on mxbox will be very
szha commented on issue #7377: gluon.nn.Conv2D initialization int stride not
handled correctly
URL:
https://github.com/apache/incubator-mxnet/issues/7377#issuecomment-321064464
Yes, this will be fixed by #7388
This is an
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jxie pushed a change to branch piiswrong-patch-4
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 11aefbb Update conv_layers.py
add 6821630 Update conv_layers.py
No new revisions were
kurt-o-sys commented on issue #7349: time series delay output mxnet
URL:
https://github.com/apache/incubator-mxnet/issues/7349#issuecomment-321056587
Thx for you answer... It is a one-to-one RNN indeed, unfolded, I'd like to
have a 'many-to-one'. Every time frame, a 'summary' of the
zhanghang1989 closed issue #7377: gluon.nn.Conv2D initialization int stride not
handled correctly
URL: https://github.com/apache/incubator-mxnet/issues/7377
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piiswrong opened a new pull request #7388: Update conv_layers.py
URL: https://github.com/apache/incubator-mxnet/pull/7388
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rahul003 commented on a change in pull request #7321: fixes broken compilation
by including tensor_blob
URL: https://github.com/apache/incubator-mxnet/pull/7321#discussion_r131995423
##
File path: src/io/inst_vector.h
##
@@ -12,6 +12,7 @@
#include
#include
#include
szha commented on issue #7382: GRU not working with layout 'NTC'
URL:
https://github.com/apache/incubator-mxnet/issues/7382#issuecomment-321041727
Should already be fixed by #7385
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zhanghang1989 commented on issue #7377: gluon.nn.Conv2D initialization int
stride not handled correctly
URL:
https://github.com/apache/incubator-mxnet/issues/7377#issuecomment-321041311
```python
import mxnet as mx
from mxnet import gluon
from mxnet.gluon import nn
eric-haibin-lin commented on a change in pull request #7226: Extending the GPU
dot operator
URL: https://github.com/apache/incubator-mxnet/pull/7226#discussion_r131993234
##
File path: src/operator/tensor/dot-inl.cuh
##
@@ -353,27 +640,308 @@ inline void
rahul003 commented on issue #7321: fixes broken compilation by including
tensor_blob
URL: https://github.com/apache/incubator-mxnet/pull/7321#issuecomment-320741353
@piiswrong So what needs to be done to ensure mxnet compiles fine?
piiswrong commented on issue #7376: MXbox -- a simple and flexible vision
toolbox for mxnet framework.
URL:
https://github.com/apache/incubator-mxnet/issues/7376#issuecomment-321037816
Thanks a lot for the contribution. This looks pretty similar to the recently
introduced gluon
szha commented on issue #7377: gluon.nn.Conv2D initialization int stride not
handled correctly
URL:
https://github.com/apache/incubator-mxnet/issues/7377#issuecomment-321034194
@zhanghang1989 @Jerryzcn Could you send a minimum example?
mli commented on a change in pull request #7379: Add license header
URL: https://github.com/apache/incubator-mxnet/pull/7379#discussion_r131985346
##
File path: src/operator/softmax_activation.cu
##
@@ -1,5 +1,23 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF)
szha commented on issue #7382: GRU not working with layout 'NTC'
URL:
https://github.com/apache/incubator-mxnet/issues/7382#issuecomment-321029686
Looks like a bug in handling the unfused states. I'm looking into the fix.
```
In [2]: layer.state_info()
Out[2]: [{'__layout__':
stefanhenneking commented on a change in pull request #7226: Extending the GPU
dot operator
URL: https://github.com/apache/incubator-mxnet/pull/7226#discussion_r131982231
##
File path: src/operator/tensor/dot-inl.h
##
@@ -187,8 +187,8 @@ inline bool
piiswrong commented on a change in pull request #7363: Add tensorboard
configure into ./common/fit.py and ./train_mnist.py
URL: https://github.com/apache/incubator-mxnet/pull/7363#discussion_r131982184
##
File path: example/image-classification/common/fit.py
##
@@ -168,10
stefanhenneking commented on a change in pull request #7226: Extending the GPU
dot operator
URL: https://github.com/apache/incubator-mxnet/pull/7226#discussion_r131982060
##
File path: src/operator/tensor/dot-inl.cuh
##
@@ -353,27 +640,308 @@ inline void
piiswrong commented on a change in pull request #7363: Add tensorboard
configure into ./common/fit.py and ./train_mnist.py
URL: https://github.com/apache/incubator-mxnet/pull/7363#discussion_r131981997
##
File path: example/image-classification/common/fit.py
##
@@ -168,10
piiswrong commented on a change in pull request #7356: decouple record/train
and add state readers
URL: https://github.com/apache/incubator-mxnet/pull/7356#discussion_r131980722
##
File path: tests/python/unittest/test_autograd.py
##
@@ -251,18 +251,49 @@ def
stefanhenneking commented on a change in pull request #7226: Extending the GPU
dot operator
URL: https://github.com/apache/incubator-mxnet/pull/7226#discussion_r131980446
##
File path: src/operator/tensor/dot-inl.cuh
##
@@ -9,66 +9,163 @@
#include
#include
+#include
piiswrong commented on a change in pull request #7356: decouple record/train
and add state readers
URL: https://github.com/apache/incubator-mxnet/pull/7356#discussion_r131980348
##
File path: python/mxnet/autograd.py
##
@@ -106,10 +135,41 @@ def pause(is_train=False):
piiswrong commented on a change in pull request #7356: decouple record/train
and add state readers
URL: https://github.com/apache/incubator-mxnet/pull/7356#discussion_r131980315
##
File path: python/mxnet/autograd.py
##
@@ -106,10 +135,41 @@ def pause(is_train=False):
stefanhenneking commented on a change in pull request #7226: Extending the GPU
dot operator
URL: https://github.com/apache/incubator-mxnet/pull/7226#discussion_r131979993
##
File path: src/operator/tensor/dot-inl.cuh
##
@@ -9,66 +9,163 @@
#include
#include
+#include
piiswrong commented on a change in pull request #7381: fix [#7368] Caffe
converter test fails, causing CI to halt for all PRs
URL: https://github.com/apache/incubator-mxnet/pull/7381#discussion_r131979921
##
File path: tools/caffe_converter/convert_symbol.py
##
@@ -128,6
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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 1a617fa fixes the incorrect retrieval
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The following commit(s) were added to refs/heads/master by this push:
new d08abf5 Docs for GAN (#7378)
d08abf5 is
piiswrong closed pull request #7378: Docs for GAN
URL: https://github.com/apache/incubator-mxnet/pull/7378
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piiswrong commented on a change in pull request #7379: Add license header
URL: https://github.com/apache/incubator-mxnet/pull/7379#discussion_r131977890
##
File path: src/operator/softmax_activation.cu
##
@@ -1,5 +1,23 @@
+/*
+ * Licensed to the Apache Software Foundation
LakeCarrot commented on issue #7341: Usage of Tensorboard in Distributed MXNet
URL:
https://github.com/apache/incubator-mxnet/issues/7341#issuecomment-321013823
@zihaolucky Good to know. Thanks a lot!
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LakeCarrot closed issue #7341: Usage of Tensorboard in Distributed MXNet
URL: https://github.com/apache/incubator-mxnet/issues/7341
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edmBernard commented on issue #6999: bgr or rgb input to vgg16?
URL:
https://github.com/apache/incubator-mxnet/issues/6999#issuecomment-321003813
ho shit ...
you are right in the exemple :
http://mxnet.io/tutorials/python/predict_image.html
images are converted in RGB.
edmBernard commented on issue #6999: bgr or rgb input to vgg16?
URL:
https://github.com/apache/incubator-mxnet/issues/6999#issuecomment-321003813
ho shit ...
you are write in the exemple :
http://mxnet.io/tutorials/python/predict_image.html
images are converted in RGB.
thirdwing commented on issue #7273: [R] call im2rec in R
URL:
https://github.com/apache/incubator-mxnet/issues/7273#issuecomment-320985009
First, OpenCV is optional. It is not available in the pre-built pkg.
However, you can add OpenCV support when compiling from source.
Second, I
thirdwing commented on issue #7273: [R] call im2rec in R
URL:
https://github.com/apache/incubator-mxnet/issues/7273#issuecomment-320985009
First, OpenCV is optional. It is not available in the pre-built pkg.
However, you add OpenCV support when compiling from source.
Second, I
coolbrain commented on issue #6999: bgr or rgb input to vgg16?
URL:
https://github.com/apache/incubator-mxnet/issues/6999#issuecomment-320979533
But mxnet change as RGB in implementation. Are you sure? @edmBernard
This
kimtang commented on issue #7273: [R] call im2rec in R
URL:
https://github.com/apache/incubator-mxnet/issues/7273#issuecomment-320959689
Yes, it should not be that difficult but im2rec depends on opencv and this
is not available in R. Can someone please confirm?
As far as I can see we
train-test-laura commented on issue #7364: MxnetR chunk-wise neural nets
URL:
https://github.com/apache/incubator-mxnet/issues/7364#issuecomment-320941845
Thanks for your reply.
I have found that page already pretty helpful, but there are a few questions
I have - maybe you or
train-test-laura commented on issue #7364: MxnetR chunk-wise neural nets
URL:
https://github.com/apache/incubator-mxnet/issues/7364#issuecomment-320941845
Thanks for your reply.
I have found that page already pretty helpful, but there are a few questions
I have - maybe you or
alfredtofu opened a new issue #7387: c_predict_api doesnot support multi
predictor
URL: https://github.com/apache/incubator-mxnet/issues/7387
It seems that c_predict_api doesnot support create multi predictor on
different devices(gpus) in one program and it will raise `invalid device
qingzhouzhen opened a new issue #7386: How could I define function for GPU only?
URL: https://github.com/apache/incubator-mxnet/issues/7386
I need to define a function in .h file for GPU version only, then implenent
it in .cu file,
declaration in .h:
```
void
peschn opened a new pull request #7385: fix[#7382] fixes how the batch size is
obtained in RNN forward pass.
URL: https://github.com/apache/incubator-mxnet/pull/7385
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solin319 opened a new issue #7384: Parameter 'dtype' in the function
'ImageRecordIter' doesn't work
URL: https://github.com/apache/incubator-mxnet/issues/7384
In mxnet-0.10 version, I add 'dtype = float16', 'dtype = float64', 'dtype =
uint8' in the function 'ImageRecordIter' in
edmBernard commented on issue #6999: bgr or rgb input to vgg16?
URL:
https://github.com/apache/incubator-mxnet/issues/6999#issuecomment-320911298
I think it's bgr as opencv convention.
when i use my model I keep opencv color order
githubfragments closed issue #7380: strange phenomenon: 1080Ti is slower than
maxwell gtx titan x. How to analysis the results of Profiler?
URL: https://github.com/apache/incubator-mxnet/issues/7380
This is an automated
githubfragments commented on issue #7380: strange phenomenon: 1080Ti is slower
than maxwell gtx titan x. How to analysis the results of Profiler?
URL:
https://github.com/apache/incubator-mxnet/issues/7380#issuecomment-320909103
I have find where the bottleneck is. @edmBernard .
I have
edmBernard commented on issue #7380: strange phenomenon: 1080Ti is slower than
maxwell gtx titan x. How to analysis the results of Profiler?
URL:
https://github.com/apache/incubator-mxnet/issues/7380#issuecomment-320886272
I don't know for gpu driver and cuda version. But cudnn version
githubfragments commented on issue #7380: strange phenomenon: 1080Ti is slower
than maxwell gtx titan x. How to analysis the results of Profiler?
URL:
https://github.com/apache/incubator-mxnet/issues/7380#issuecomment-320883014
Model checkpoint is written every 10 epoch. Both of the hard
edmBernard commented on issue #7380: strange phenomenon: 1080Ti is slower than
maxwell gtx titan x. How to analysis the results of Profiler?
URL:
https://github.com/apache/incubator-mxnet/issues/7380#issuecomment-320881324
maybe a stupid question but did you write model checkpoint at the
buaacszj opened a new issue #7383: How to build a library without the BLAS
dependency?
URL: https://github.com/apache/incubator-mxnet/issues/7383
As I saw from mxnet document "Deep Learning in a Single File for Smart
Devices", there is a word saying "MXNet provides an amalgamation script
coolbrain commented on issue #6999: bgr or rgb input to vgg16?
URL:
https://github.com/apache/incubator-mxnet/issues/6999#issuecomment-320878728
I want to know this, too. Is the vgg16 model trained by mxnex or just
converted from caffe model?
peschn opened a new issue #7382: GRU not working with layout 'NTC'
URL: https://github.com/apache/incubator-mxnet/issues/7382
For bugs or installation issues, please provide the following information.
The more information you provide, the more likely people will be able to
help you.
joey2014 opened a new pull request #7381: fix [#7368] Caffe converter test
fails, causing CI to halt for all PRs
URL: https://github.com/apache/incubator-mxnet/pull/7381
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joey2014 commented on issue #7368: Caffe converter test fails, causing CI to
halt for all PRs
URL:
https://github.com/apache/incubator-mxnet/issues/7368#issuecomment-320869584
The layer input name in some cases is changed which causes the layer added
to group by mistake, for example, in
szha commented on issue #7264: gluon conv rnns
URL: https://github.com/apache/incubator-mxnet/pull/7264#issuecomment-320868244
Somehow the tests fail in MKLConcatOp in the MKL variant. @ykim362 any idea
what this is?
This
szha commented on issue #7356: decouple record/train and add state readers
URL: https://github.com/apache/incubator-mxnet/pull/7356#issuecomment-320867252
Doc for autograd can be found at
http://mxnet-doc.s3-website-us-east-1.amazonaws.com/api/python/autograd.html
edmBernard commented on issue #7380: strange phenomenon: 1080Ti is slower than
maxwell gtx titan x. How to analysis the results of Profiler?
URL:
https://github.com/apache/incubator-mxnet/issues/7380#issuecomment-320862930
Are you sure the CPU is not the bottleneck ?
I just see there
jeremiedb commented on issue #7375: Can I set instance weight when training?
URL:
https://github.com/apache/incubator-mxnet/issues/7375#issuecomment-320860659
The default behavior when using `predict` function on a model with MakeLoss
is to get the inference on the latest layer, which is
novioleo commented on issue #5224: include/dmlc/logging.h:235: [00:59:21]
src/io/local_filesys.cc:154: Check failed: allow_null LocalFileSystem: fail to
open "model/det1-symbol.json"
URL:
https://github.com/apache/incubator-mxnet/issues/5224#issuecomment-320858716
@ysh329 i know it's
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