Tveek commented on issue #7532: using python interface,some doubts for c++ api
URL:
https://github.com/apache/incubator-mxnet/issues/7532#issuecomment-323650920
No,i am looking for the defination of parameters(name,attr,out) in
`mxnet.symbol.Activation(..)` api .
qingzhouzhen commented on issue #7528: I found a bug, modify counting
parameters of FullyConnected layer
URL: https://github.com/apache/incubator-mxnet/pull/7528#issuecomment-323647300
Checking if no_bias=True for FullyConnected and Convolution
crazy-cat commented on issue #7517: Add Depthwise Deconvolution support?
URL:
https://github.com/apache/incubator-mxnet/issues/7517#issuecomment-323647203
I think so?you can try it yourself. It's not supported yet.
This is
piiswrong commented on issue #7534: Need Python bindings for Depthwise 2d
Convolution (?)
URL:
https://github.com/apache/incubator-mxnet/issues/7534#issuecomment-323641834
no
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piiswrong closed issue #7534: Need Python bindings for Depthwise 2d Convolution
(?)
URL: https://github.com/apache/incubator-mxnet/issues/7534
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akturtle commented on issue #7281: Gradient function not returning enough
gradient
URL:
https://github.com/apache/incubator-mxnet/issues/7281#issuecomment-323633812
check the number of in_gradient which should be the same as the number of
the input data.
zhreshold commented on issue #7528: I found a bug, modify counting parameters
of FullyConnected layer
URL: https://github.com/apache/incubator-mxnet/pull/7528#issuecomment-323626605
should check if no_bias=False before that
domdivakaruni commented on issue #7395: Drafted documentation for autograd.
URL: https://github.com/apache/incubator-mxnet/pull/7395#issuecomment-323623803
this is awesome! Thanks guys
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buryang closed issue #7519: cmake -DUSE_DIST_KVSTORE=1 . ERROR
URL: https://github.com/apache/incubator-mxnet/issues/7519
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zhreshold commented on issue #7533: Call symbol/nd.smooth_l1 without scalar
causing uncaught exception
URL:
https://github.com/apache/incubator-mxnet/issues/7533#issuecomment-323623659
Mark and will fix later.
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zhreshold opened a new issue #7533: Call symbol/nd.smooth_l1 without scalar
causing uncaught exception
URL: https://github.com/apache/incubator-mxnet/issues/7533
Call mx.nd.smooth_l1 without scalar parameter will cause mxnet to crash
```
libc++abi.dylib: terminating with uncaught
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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 0efc326 Fix a bug in
piiswrong closed pull request #7449: Fix a bug in SequentialRNNCell.reset()
URL: https://github.com/apache/incubator-mxnet/pull/7449
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szha commented on issue #7532: using python interface,some doubts for c++ api
URL:
https://github.com/apache/incubator-mxnet/issues/7532#issuecomment-323603381
Are you looking for this?
https://github.com/apache/incubator-mxnet/blob/master/src/operator/activation-inl.h#L51-L58
Tveek opened a new issue #7532: using python interface,some doubts for c++ api
URL: https://github.com/apache/incubator-mxnet/issues/7532
like following python api
`mxnet.symbol.Activation(data=None, act_type=_Null, name=None, attr=None,
out=None, **kwargs)`
in activation.cc file ,i
sxjscience commented on issue #7510: mx.sym.argsort() cannot sort array with
large tensor
URL:
https://github.com/apache/incubator-mxnet/issues/7510#issuecomment-323585073
I'll pr the fix after the MShadow side is merged.
edmBernard commented on issue #7531: Change Network parameters in Gluon API
URL:
https://github.com/apache/incubator-mxnet/issues/7531#issuecomment-323582320
@szha thanks for your answer, my example was not enough accurate to describe
what I wanted.
I find another solution:
edmBernard closed issue #7531: Change Network parameters in Gluon API
URL: https://github.com/apache/incubator-mxnet/issues/7531
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edmBernard commented on issue #7530: Network with shared layer
URL:
https://github.com/apache/incubator-mxnet/issues/7530#issuecomment-323581743
ok my bad I have an activation layer before softmax
when we replace
```python
net_mod1 = gluon.nn.Sequential()
with
edmBernard closed issue #7530: Network with shared layer
URL: https://github.com/apache/incubator-mxnet/issues/7530
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baj12 commented on issue #7520: example for custom iterator not working
URL:
https://github.com/apache/incubator-mxnet/issues/7520#issuecomment-323577298
i got it finally to work with python 2.7. It would be nice to have some
better handle on the python version hell, but I am not sure if
baj12 closed issue #7520: example for custom iterator not working
URL: https://github.com/apache/incubator-mxnet/issues/7520
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edmBernard commented on issue #7530: Network with shared layer
URL:
https://github.com/apache/incubator-mxnet/issues/7530#issuecomment-323573051
I test the gluon API to achieve this goal:
I have this code:
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