marcoabreu closed pull request #9968: Fix typo 'maked' => made
URL: https://github.com/apache/incubator-mxnet/pull/9968
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 pull req
sxjscience commented on issue #8866: src/operator/./bilinear_sampler-inl.h:105:
Have not implemented the data req combinations! gdata_req=0 ggrid_req=1
URL:
https://github.com/apache/incubator-mxnet/issues/8866#issuecomment-370094839
@chowkamlee81 There is no need to provide an example. I'
aaronmarkham opened a new issue #9973: update Scala tutorial - using IntelliJ
IDE
URL: https://github.com/apache/incubator-mxnet/issues/9973
## Description
http://mxnet.incubator.apache.org/tutorials/scala/mxnet_scala_on_intellij.html
1. Dated info - update and verify actual setu
yajiedesign commented on issue #9572: Return a NaN when using operator ( ** )
on Windows version with GPU
URL:
https://github.com/apache/incubator-mxnet/issues/9572#issuecomment-370098120
sorry for later,The problem has come back, and I'll try to find out.
zhanghang1989 commented on issue #9688: Adapt operators from PyTorch, will keep
adding
URL: https://github.com/apache/incubator-mxnet/pull/9688#issuecomment-363525503
@chinakook
```
import mxnet as mx
x1 = mx.nd.ones(shape=(2,3,4,4))
y1 = mx.nd.BilinearResize2D(x1, out_height=5
yajiedesign commented on issue #9940: remove set CMAKE_GENERATOR_TOOLSET
URL: https://github.com/apache/incubator-mxnet/pull/9940#issuecomment-370098699
It can also maintain the status quo. It doesn't affect the compilation. Only
CMAKE_GENERATOR_TOOLSET doesn't work. CMAKE_GENERATOR_TOOLSET
jwfromm opened a new issue #9974: DataLoader with workers not compatible with
ImageRecordDataset
URL: https://github.com/apache/incubator-mxnet/issues/9974
## Description
Using a DataLoader with a non-zero number of workers on a ImageRecordDataset
crashes. Being able to have multiple wo
cjolivier01 commented on issue #9940: remove set CMAKE_GENERATOR_TOOLSET
URL: https://github.com/apache/incubator-mxnet/pull/9940#issuecomment-370101619
i don?t understand the statement about status quo?
with your change, is it still possible to build the ?old way? without the
generator?
yajiedesign commented on issue #9940: remove set CMAKE_GENERATOR_TOOLSET
URL: https://github.com/apache/incubator-mxnet/pull/9940#issuecomment-370102121
If cmake is lower than 3.9.0, the ?old way? will be automatically enabled.
--
yajiedesign commented on issue #9940: remove set CMAKE_GENERATOR_TOOLSET
URL: https://github.com/apache/incubator-mxnet/pull/9940#issuecomment-370102668
ok,I've updated it again..
at present:
1.if cmake is lower than 3.9.0, auto choose "old way?.
2.if cmake greater than equal to or
cjolivier01 commented on issue #9940: remove set CMAKE_GENERATOR_TOOLSET
URL: https://github.com/apache/incubator-mxnet/pull/9940#issuecomment-370102721
We must have the ability to turn it off for any version of cmake, because it
causes problems for some use cases such as running unit tests
yajiedesign commented on issue #9940: remove set CMAKE_GENERATOR_TOOLSET
URL: https://github.com/apache/incubator-mxnet/pull/9940#issuecomment-370102783
i am updated .
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cjolivier01 commented on a change in pull request #9940: remove set
CMAKE_GENERATOR_TOOLSET
URL: https://github.com/apache/incubator-mxnet/pull/9940#discussion_r171999786
##
File path: CMakeLists.txt
##
@@ -44,16 +44,16 @@ if(USE_CUDA AND NOT USE_OLDCMAKECUDA)
OR
yajiedesign commented on a change in pull request #9940: remove set
CMAKE_GENERATOR_TOOLSET
URL: https://github.com/apache/incubator-mxnet/pull/9940#discussion_r17200
##
File path: CMakeLists.txt
##
@@ -44,16 +44,16 @@ if(USE_CUDA AND NOT USE_OLDCMAKECUDA)
OR
yajiedesign commented on a change in pull request #9940: remove set
CMAKE_GENERATOR_TOOLSET
URL: https://github.com/apache/incubator-mxnet/pull/9940#discussion_r172000299
##
File path: CMakeLists.txt
##
@@ -44,16 +44,16 @@ if(USE_CUDA AND NOT USE_OLDCMAKECUDA)
OR
HaoLiuHust commented on issue #9962: how to group 2 or more outputs in gluon
just like sym.Group()
URL:
https://github.com/apache/incubator-mxnet/issues/9962#issuecomment-370104619
the error is "HybridBlock input must be (nested) list of Symbol or NDArray,
" \
"but got %s of ty
eric-haibin-lin commented on issue #9919: Update PR Template
URL: https://github.com/apache/incubator-mxnet/pull/9919#issuecomment-370107887
Done
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jeremiedb commented on a change in pull request #9965: Fix R build crash in CI
URL: https://github.com/apache/incubator-mxnet/pull/9965#discussion_r172002855
##
File path: R-package/R/viz.graph.R
##
@@ -143,7 +142,7 @@ graph.viz <- function(symbol, shape=NULL, direction="TD
precedenceguo commented on a change in pull request #9939: add multi proposal
operator (cpu version) and fix the bug in proposal op (gpu version)
URL: https://github.com/apache/incubator-mxnet/pull/9939#discussion_r172002879
##
File path: src/operator/contrib/proposal.cu
##
jeremiedb opened a new pull request #9975: revert DiagrammeR compatibility to
0.9.0
URL: https://github.com/apache/incubator-mxnet/pull/9975
Follow comments to maintain compatibility with 0.9.0: #9965
`attr_theme = NULL` is the only material change along the DESCRIPTION
requirement. Ot
wkcn opened a new issue #9976: The assignment problem about NDArray
URL: https://github.com/apache/incubator-mxnet/issues/9976
## Description
If `a` is a multi-dims array, it is not available to use `a[0] = a[1]` to
assign a row.
However, it's available to use `a[0, :] = a[1]` or `a[0
wkcn commented on a change in pull request #9939: add multi proposal operator
(cpu version) and fix the bug in proposal op (gpu version)
URL: https://github.com/apache/incubator-mxnet/pull/9939#discussion_r172003236
##
File path: src/operator/contrib/proposal.cu
##
@@ -553
Jerryzcn opened a new pull request #9977: Cpu lstm inference
URL: https://github.com/apache/incubator-mxnet/pull/9977
## Description ##
(Brief description on what this PR is about)
CPU LSTM inference kernel.
This is around 9.5x faster than gluon LSTM cell.
Verified on speech
wkcn commented on a change in pull request #9939: add multi proposal operator
(cpu version) and fix the bug in proposal op (gpu version)
URL: https://github.com/apache/incubator-mxnet/pull/9939#discussion_r172003236
##
File path: src/operator/contrib/proposal.cu
##
@@ -553
CoinCheung opened a new issue #9978: Error with random generator
URL: https://github.com/apache/incubator-mxnet/issues/9978
## Description
Once I use DataLoader, the nd.random seed will be fixed.
## Environment info (Required)
```
--Python Info--
aidan-plenert-macdonald opened a new issue #9979: Computing the second
derivative
URL: https://github.com/apache/incubator-mxnet/issues/9979
I would like to compute the second derivative like,
```python
from mxnet import nd, autograd
x = nd.array([2.0])
with autograd.rec
eric-haibin-lin opened a new issue #9980: [Feature Request] broadcast_mul(csr,
dense)
URL: https://github.com/apache/incubator-mxnet/issues/9980
Let's say we have a MxN CSR matrix, it's quite common to normalize the CSR
matrix `A` by a length M vector or a length N vector `B`.
How
pengzhao-intel commented on issue #9977: Cpu lstm inference
URL: https://github.com/apache/incubator-mxnet/pull/9977#issuecomment-370118760
@Jerryzcn It's very great to explore the full CPU power for RNN cell.
FYI, we have implemented the fused LSTM OP of CPU in local including
infer
pengzhao-intel commented on issue #9939: add multi proposal operator (cpu
version) and fix the bug in proposal op (gpu version)
URL: https://github.com/apache/incubator-mxnet/pull/9939#issuecomment-370119051
@wkcn What's the size of your for-loop in the test-case?
How can I
asitstands commented on issue #9978: Error with random generator
URL:
https://github.com/apache/incubator-mxnet/issues/9978#issuecomment-370119319
The random number genertors in `mxnet.nd.random` and `mxnet.sym.random` have
a fixed seed regardless of the use of `DataLoader`. You need to se
asitstands commented on issue #9978: Error with random generator
URL:
https://github.com/apache/incubator-mxnet/issues/9978#issuecomment-370119319
The random number genertors in `mxnet.nd.random` and `mxnet.sym.random` have
a fixed seed regardless of the use of `DataLoader`. You need to se
CoinCheung commented on issue #9978: Error with random generator
URL:
https://github.com/apache/incubator-mxnet/issues/9978#issuecomment-370120074
@asitstands
It does not seem so, when I run a single line in the terminal
```
print(mx.nd.random.normal(0,1,shape=(2,2),dtype=np.float
asitstands commented on issue #9978: Error with random generator
URL:
https://github.com/apache/incubator-mxnet/issues/9978#issuecomment-370120684
```python
# test.py
import mxnet as mx
import numpy as np
print(mx.nd.random.normal(0,1,shape=(2,2),dtype=np.float32,ctx=mx.gpu()))
asitstands commented on issue #9978: Error with random generator
URL:
https://github.com/apache/incubator-mxnet/issues/9978#issuecomment-370120684
```python
# test.py
import mxnet as mx
import numpy as np
print(mx.nd.random.normal(0,1,shape=(2,2),dtype=np.float32,ctx=mx.gpu()))
Jerryzcn commented on issue #9977: Cpu lstm inference
URL: https://github.com/apache/incubator-mxnet/pull/9977#issuecomment-370121842
@pengzhao-intel This is great, we can definitely collaborate. The reason I
am sending this PR is for one of our own project. and we would like to have
some
orchidmajumder commented on issue #9962: how to group 2 or more outputs in
gluon just like sym.Group()
URL:
https://github.com/apache/incubator-mxnet/issues/9962#issuecomment-370121916
You are using imperative code in the hybrid block. Either you need to move
it to make it static code (or
reminisce commented on issue #9977: Cpu lstm inference
URL: https://github.com/apache/incubator-mxnet/pull/9977#issuecomment-370122405
It's great to have cpu version implemented. We are deprecating operator
implementation using the legacy interface. It's would be better if you can
refactor
reminisce commented on issue #9552: [REQUEST FOR REVIEW | DO NOT MERGE] Model
Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#issuecomment-370122535
@wentingj Thanks for the benchmark results. It aligns with what we observed
cudnn: int8 conv costs mor
eric-haibin-lin closed pull request #9651: Improve sparse adagrad update
URL: https://github.com/apache/incubator-mxnet/pull/9651
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 foreig
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haibin 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 fc9e70b Improve sparse adagrad update
reminisce commented on issue #9976: The assignment problem about NDArray
URL:
https://github.com/apache/incubator-mxnet/issues/9976#issuecomment-370125976
This is a bug of `CopyFromTo` function. `a[0]` and `a[1]` share the same
`var` and thus the copy is skipped.
https://github.com/apa
wkcn commented on issue #9976: The assignment problem about NDArray
URL:
https://github.com/apache/incubator-mxnet/issues/9976#issuecomment-370127367
@reminisce Thank you! I will try to fix it.
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