kshitij12345 commented on a change in pull request #15253: Add higher order
gradient support `sigmoid`, `tan`, `tanh`
URL: https://github.com/apache/incubator-mxnet/pull/15253#discussion_r294611629
##
File path: src/operator/tensor/elemwise_unary_op_basic.cc
##
@@ -121,7
kshitij12345 commented on a change in pull request #15253: Add higher order
gradient support `sigmoid`, `tan`, `tanh`
URL: https://github.com/apache/incubator-mxnet/pull/15253#discussion_r294611629
##
File path: src/operator/tensor/elemwise_unary_op_basic.cc
##
@@ -121,7
kshitij12345 commented on a change in pull request #15253: Add higher order
gradient support `sigmoid`, `tan`, `tanh`
URL: https://github.com/apache/incubator-mxnet/pull/15253#discussion_r294611629
##
File path: src/operator/tensor/elemwise_unary_op_basic.cc
##
@@ -121,7
kshitij12345 commented on a change in pull request #15253: Add higher order
gradient support `sigmoid`, `tan`, `tanh`
URL: https://github.com/apache/incubator-mxnet/pull/15253#discussion_r294611629
##
File path: src/operator/tensor/elemwise_unary_op_basic.cc
##
@@ -121,7
kshitij12345 commented on a change in pull request #15253: Add higher order
gradient support `sigmoid`, `tan`, `tanh`
URL: https://github.com/apache/incubator-mxnet/pull/15253#discussion_r294611629
##
File path: src/operator/tensor/elemwise_unary_op_basic.cc
##
@@ -121,7
apeforest commented on a change in pull request #15253: Add higher order
gradient support `sigmoid`, `tan`, `tanh`
URL: https://github.com/apache/incubator-mxnet/pull/15253#discussion_r29467
##
File path: src/operator/tensor/elemwise_unary_op_basic.cc
##
@@ -121,7
kshitij12345 commented on a change in pull request #15253: Add higher order
gradient support `sigmoid`, `tan`, `tanh`
URL: https://github.com/apache/incubator-mxnet/pull/15253#discussion_r294610865
##
File path: src/operator/tensor/elemwise_unary_op_basic.cc
##
@@ -121,7
kshitij12345 commented on issue #15253: Add higher order gradient support
`sigmoid`, `tan`, `tanh`
URL: https://github.com/apache/incubator-mxnet/pull/15253#issuecomment-502947850
> @kshitij12345 I will review it carefully later tonight. Could you please
also rebase your other PR #15120
apeforest commented on a change in pull request #15253: Add higher order
gradient support `sigmoid`, `tan`, `tanh`
URL: https://github.com/apache/incubator-mxnet/pull/15253#discussion_r294609295
##
File path: src/operator/tensor/elemwise_unary_op_basic.cc
##
@@ -121,7
wuxun-zhang commented on a change in pull request #15164: [C++] Improve
inference script to support benchmark on Imagenet
URL: https://github.com/apache/incubator-mxnet/pull/15164#discussion_r294608192
##
File path: cpp-package/example/inference/imagenet_inference.cpp
##
ksellesk commented on issue #14956: mxnet.image.imread can not correctly read
jpg with orientation
URL:
https://github.com/apache/incubator-mxnet/issues/14956#issuecomment-502942097
>>> img = cv2.imread("test.jpg")
>>> img.shape
(4032, 3024, 3)
>>> img =
wuxun-zhang commented on a change in pull request #15164: [C++] Improve
inference script to support benchmark on Imagenet
URL: https://github.com/apache/incubator-mxnet/pull/15164#discussion_r294605640
##
File path: cpp-package/example/inference/unit_test_imagenet_inference.sh
mouryarishik commented on issue #9686: [Discussion] MXNet 2.0 Roadmap (was:
APIs that might be a good idea to break in 2.0)
URL:
https://github.com/apache/incubator-mxnet/issues/9686#issuecomment-502940440
> There's an estimator class with the fit function in contrib now:
szha commented on issue #9686: [Discussion] MXNet 2.0 Roadmap (was: APIs that
might be a good idea to break in 2.0)
URL:
https://github.com/apache/incubator-mxnet/issues/9686#issuecomment-502935956
> MXNet is by far my favourite framework
Thanks for the encouraging words! It makes
wuxun-zhang commented on a change in pull request #15164: [C++] Improve
inference script to support benchmark on Imagenet
URL: https://github.com/apache/incubator-mxnet/pull/15164#discussion_r294598237
##
File path: cpp-package/example/inference/imagenet_inference.cpp
##
wuxun-zhang commented on a change in pull request #15164: [C++] Improve
inference script to support benchmark on Imagenet
URL: https://github.com/apache/incubator-mxnet/pull/15164#discussion_r294597248
##
File path: cpp-package/example/inference/imagenet_inference.cpp
##
pengxin99 edited a comment on issue #12893: Dummy-data based benchmarking
script for Gluon RNN-API
URL: https://github.com/apache/incubator-mxnet/pull/12893#issuecomment-502710383
@roywei thanks for you review, and I test our script on 8180-1s with 28
cores, below is the results:
wuxun-zhang commented on a change in pull request #15164: [C++] Improve
inference script to support benchmark on Imagenet
URL: https://github.com/apache/incubator-mxnet/pull/15164#discussion_r294584975
##
File path: cpp-package/example/inference/imagenet_inference.cpp
##
pengxin99 edited a comment on issue #12893: Dummy-data based benchmarking
script for Gluon RNN-API
URL: https://github.com/apache/incubator-mxnet/pull/12893#issuecomment-502710383
@roywei thanks for you review, and I test our script on 8180-1s with 28
cores, below is the results:
hubutui opened a new issue #15263: question about BUILD_CYTHON_MODULES when
building with cmake
URL: https://github.com/apache/incubator-mxnet/issues/15263
## Description
`make install` doesn't install python binding properly when building with
cmake.
## Environment info (Required)
mxnet-label-bot commented on issue #15263: question about BUILD_CYTHON_MODULES
when building with cmake
URL:
https://github.com/apache/incubator-mxnet/issues/15263#issuecomment-502914805
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some
ZhennanQin commented on a change in pull request #15164: [C++] Improve
inference script to support benchmark on Imagenet
URL: https://github.com/apache/incubator-mxnet/pull/15164#discussion_r294582567
##
File path: cpp-package/example/inference/imagenet_inference.cpp
##
wuxun-zhang commented on a change in pull request #15164: [C++] Improve
inference script to support benchmark on Imagenet
URL: https://github.com/apache/incubator-mxnet/pull/15164#discussion_r294579885
##
File path: cpp-package/example/inference/imagenet_inference.cpp
##
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tomoncle commented on issue #15254:
mxnet(mxnet-full_2.11-linux-x86_64-gpu-1.5.0-SNAPSHOT) cannot support cuda10.1?
URL:
https://github.com/apache/incubator-mxnet/issues/15254#issuecomment-502906535
**Thank you all. I lowered the CUDA version(9.2), and now it's OK.
But my code can't
aaronmarkham commented on issue #14535: [DOC] Updated install instructions for
mac
URL: https://github.com/apache/incubator-mxnet/pull/14535#issuecomment-502902668
I'm hesitant to push the python3 thing through. It'll start a wave of
issues. If python3 is on someone's plate and they'll
larroy commented on issue #14940: Work on warnings
URL: https://github.com/apache/incubator-mxnet/pull/14940#issuecomment-502900880
@mxnet-label-bot remove [pr-work-in-progress]
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larroy commented on issue #14535: [DOC] Updated install instructions for mac
URL: https://github.com/apache/incubator-mxnet/pull/14535#issuecomment-502900772
@vandanavk rebased
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larroy commented on a change in pull request #15210: [WIP] Custom Operator
Profiling Enhancement
URL: https://github.com/apache/incubator-mxnet/pull/15210#discussion_r294568840
##
File path: src/engine/naive_engine.cc
##
@@ -159,7 +160,11 @@ class NaiveEngine final :
leleamol commented on issue #15260: Gluon Trainer fails with Horovod
DistributedTrainer
URL:
https://github.com/apache/incubator-mxnet/issues/15260#issuecomment-502897905
@mxnet-label-bot add [Gluon]
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larroy commented on a change in pull request #15171: Upgrade archive utility
and add back FC improvement
URL: https://github.com/apache/incubator-mxnet/pull/15171#discussion_r294566472
##
File path: Makefile
##
@@ -368,10 +368,32 @@ endif
# Guard against displaying
larroy commented on a change in pull request #15167: [WIP] Pointwise fusion for
GPU
URL: https://github.com/apache/incubator-mxnet/pull/15167#discussion_r294564712
##
File path: src/operator/fusion/fused_op.cu
##
@@ -0,0 +1,396 @@
+/*
+ * Licensed to the Apache Software
larroy commented on a change in pull request #15167: [WIP] Pointwise fusion for
GPU
URL: https://github.com/apache/incubator-mxnet/pull/15167#discussion_r294564654
##
File path: src/operator/fusion/fused_op.cu
##
@@ -0,0 +1,396 @@
+/*
+ * Licensed to the Apache Software
larroy commented on a change in pull request #15167: [WIP] Pointwise fusion for
GPU
URL: https://github.com/apache/incubator-mxnet/pull/15167#discussion_r294565565
##
File path: src/operator/fusion/fused_op.cu
##
@@ -0,0 +1,396 @@
+/*
+ * Licensed to the Apache Software
larroy commented on a change in pull request #15167: [WIP] Pointwise fusion for
GPU
URL: https://github.com/apache/incubator-mxnet/pull/15167#discussion_r294565947
##
File path: src/operator/fusion/fused_op.cu
##
@@ -0,0 +1,396 @@
+/*
+ * Licensed to the Apache Software
larroy commented on a change in pull request #15167: [WIP] Pointwise fusion for
GPU
URL: https://github.com/apache/incubator-mxnet/pull/15167#discussion_r294565002
##
File path: src/operator/fusion/fused_op.cu
##
@@ -0,0 +1,396 @@
+/*
+ * Licensed to the Apache Software
larroy commented on a change in pull request #15167: [WIP] Pointwise fusion for
GPU
URL: https://github.com/apache/incubator-mxnet/pull/15167#discussion_r294563823
##
File path: src/operator/fusion/fused_op.cu
##
@@ -0,0 +1,396 @@
+/*
+ * Licensed to the Apache Software
larroy commented on a change in pull request #15167: [WIP] Pointwise fusion for
GPU
URL: https://github.com/apache/incubator-mxnet/pull/15167#discussion_r294565494
##
File path: src/operator/fusion/fused_op.cu
##
@@ -0,0 +1,396 @@
+/*
+ * Licensed to the Apache Software
larroy commented on a change in pull request #15167: [WIP] Pointwise fusion for
GPU
URL: https://github.com/apache/incubator-mxnet/pull/15167#discussion_r294555264
##
File path: src/executor/exec_pass.h
##
@@ -170,6 +190,16 @@ void AttachOpResources(const Graph& g,
*/
larroy commented on a change in pull request #15167: [WIP] Pointwise fusion for
GPU
URL: https://github.com/apache/incubator-mxnet/pull/15167#discussion_r294566005
##
File path: src/operator/fusion/fused_op.cu
##
@@ -0,0 +1,396 @@
+/*
+ * Licensed to the Apache Software
larroy commented on a change in pull request #15167: [WIP] Pointwise fusion for
GPU
URL: https://github.com/apache/incubator-mxnet/pull/15167#discussion_r294564517
##
File path: src/operator/fusion/fused_op.cu
##
@@ -0,0 +1,396 @@
+/*
+ * Licensed to the Apache Software
larroy commented on a change in pull request #15167: [WIP] Pointwise fusion for
GPU
URL: https://github.com/apache/incubator-mxnet/pull/15167#discussion_r294564220
##
File path: src/operator/fusion/fused_op.cu
##
@@ -0,0 +1,396 @@
+/*
+ * Licensed to the Apache Software
larroy commented on a change in pull request #15167: [WIP] Pointwise fusion for
GPU
URL: https://github.com/apache/incubator-mxnet/pull/15167#discussion_r294553087
##
File path: src/executor/infer_graph_attr_pass.cc
##
@@ -209,51 +213,86 @@ nnvm::Graph
larroy commented on a change in pull request #15167: [WIP] Pointwise fusion for
GPU
URL: https://github.com/apache/incubator-mxnet/pull/15167#discussion_r294555340
##
File path: src/executor/node_entry_count.cc
##
@@ -0,0 +1,46 @@
+/*
+ * Licensed to the Apache Software
leleamol commented on issue #15261: C++ Can't load model with Symbol::Load when
using static library
URL:
https://github.com/apache/incubator-mxnet/issues/15261#issuecomment-502896454
Thanks for filing this issue @cyrusbehr
Currently, the CI system does build static target for mxnet
leleamol commented on issue #15238: about train imagenet 1k
URL:
https://github.com/apache/incubator-mxnet/issues/15238#issuecomment-502895203
@frischzenger can you please share the commandline that you are using to
train the model?
I you are using "train_imagenet.py" script in the
leleamol commented on issue #15251: cpp package fails to build
URL:
https://github.com/apache/incubator-mxnet/issues/15251#issuecomment-502894042
@mxnet-label-bot add [Build]
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Zha0q1 commented on issue #15210: [WIP] Custom Operator Profiling Enhancement
URL: https://github.com/apache/incubator-mxnet/pull/15210#issuecomment-502892965
> Can you more test cases like:
> customOp1 + RegisteredOp + customOp2
>
> Try to include python processing code in all
apeforest commented on issue #15253: Add higher order gradient support
`sigmoid`, `tan`, `tanh`
URL: https://github.com/apache/incubator-mxnet/pull/15253#issuecomment-502891156
@kshitij12345 I will review it carefully later tonight. Could you please
also rebase your other PR
leleamol commented on issue #15254:
mxnet(mxnet-full_2.11-linux-x86_64-gpu-1.5.0-SNAPSHOT) cannot support cuda10.1?
URL:
https://github.com/apache/incubator-mxnet/issues/15254#issuecomment-502891215
@mxnet-label-bot add [Installation, Scala, Cuda]
leleamol commented on issue #15257: cann't compile with nnpack, because
"../nn/fully_connected-inl.h" not include class FullyConnectedOp
URL:
https://github.com/apache/incubator-mxnet/issues/15257#issuecomment-502890393
@mxnet-label-bot add [Build]
zheng-da commented on issue #15262: [DO NOT REVIEW] Test
URL: https://github.com/apache/incubator-mxnet/pull/15262#issuecomment-502886151
please add more description of the PR.
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access2rohit commented on issue #15210: [WIP] Custom Operator Profiling
Enhancement
URL: https://github.com/apache/incubator-mxnet/pull/15210#issuecomment-502885962
Can you more test cases like:
customOp1 + RegisteredOp + customOp2
Try to include python processing code in all the
junrushao1994 opened a new pull request #15262: [DO NOT REVIEW] Test
URL: https://github.com/apache/incubator-mxnet/pull/15262
@szha @zheng-da
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cyrusbehr opened a new issue #15261: C++ Can't load model with Symbol::Load
when using static library
URL: https://github.com/apache/incubator-mxnet/issues/15261
## Description
When I use the shared library for mxnet, I am able to load models as
expected using `Symbol::Load(filepath)`
larroy commented on a change in pull request #15167: [WIP] Pointwise fusion for
GPU
URL: https://github.com/apache/incubator-mxnet/pull/15167#discussion_r294550750
##
File path: src/executor/infer_graph_attr_pass.cc
##
@@ -209,51 +213,86 @@ nnvm::Graph
larroy commented on issue #15167: [WIP] Pointwise fusion for GPU
URL: https://github.com/apache/incubator-mxnet/pull/15167#issuecomment-502881080
Did we document MXNET_USE_FUSION in `docs/faq/env_var.md` and add that is
supported only for CUDA?
Zha0q1 edited a comment on issue #15210: [WIP] Custom Operator Profiling
Enhancement
URL: https://github.com/apache/incubator-mxnet/pull/15210#issuecomment-502880215
I have added a new test in test_profiler.py.
I also manually tested using Naive Engine; the result was the same as using
Zha0q1 commented on issue #15210: [WIP] Custom Operator Profiling Enhancement
URL: https://github.com/apache/incubator-mxnet/pull/15210#issuecomment-502880215
I have added a new test in test_profiler.py.
I also manually tested using Naive Engine; the result was the same as using
anirudhacharya commented on issue #14956: mxnet.image.imread can not correctly
read jpg with orientation
URL:
https://github.com/apache/incubator-mxnet/issues/14956#issuecomment-502878668
```python
b = mx.img.imread("img.jpg", flag=cv2.IMREAD_GRAYSCALE)
```
in the above code
larroy commented on issue #15198: Need a debugging utility to dump out
intermediate values of Tensor object
URL:
https://github.com/apache/incubator-mxnet/issues/15198#issuecomment-502876454
FYI I'm working on this.
This is
larroy commented on issue #14421: Updating mxnet from 1.0.0, networks give
different outputs
URL:
https://github.com/apache/incubator-mxnet/issues/14421#issuecomment-502875876
I understand your problem, I'm sorry that this bug caused you problems when
updating to more recent versions, I
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The following commit(s) were added to refs/heads/master by this push:
new cab1dfa Upgrade archive utility
anirudh2290 closed issue #15084: MXNet GPU MKLDNN Build failure
URL: https://github.com/apache/incubator-mxnet/issues/15084
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anirudh2290 merged pull request #15171: Upgrade archive utility and add back FC
improvement
URL: https://github.com/apache/incubator-mxnet/pull/15171
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stu1130 commented on a change in pull request #15256: Numpy compatible linspace
URL: https://github.com/apache/incubator-mxnet/pull/15256#discussion_r294525211
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -554,6 +554,65 @@ def hybrid_forward(self, F, x):
yuxihu commented on issue #15260: Gluon Trainer fails with Horovod
DistributedTrainer
URL:
https://github.com/apache/incubator-mxnet/issues/15260#issuecomment-502859596
This is not the correct way of using DistributedTrainer.
yuxihu closed issue #15259: MXNet horovod examples result in a seg fault
URL: https://github.com/apache/incubator-mxnet/issues/15259
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chandana1332 commented on issue #15259: MXNet horovod examples result in a seg
fault
URL:
https://github.com/apache/incubator-mxnet/issues/15259#issuecomment-502857838
Issue is resolved based on https://github.com/horovod/horovod/issues/1148
stu1130 commented on a change in pull request #15256: Numpy compatible linspace
URL: https://github.com/apache/incubator-mxnet/pull/15256#discussion_r294525307
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -554,6 +554,65 @@ def hybrid_forward(self, F, x):
stu1130 commented on a change in pull request #15256: Numpy compatible linspace
URL: https://github.com/apache/incubator-mxnet/pull/15256#discussion_r294525211
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -554,6 +554,65 @@ def hybrid_forward(self, F, x):
stu1130 commented on a change in pull request #15256: Numpy compatible linspace
URL: https://github.com/apache/incubator-mxnet/pull/15256#discussion_r294525129
##
File path: tests/python/unittest/test_numpy_op.py
##
@@ -554,6 +554,65 @@ def hybrid_forward(self, F, x):
mxnet-label-bot commented on issue #15260: Gluon Trainer fails with Horovod
DistributedTrainer
URL:
https://github.com/apache/incubator-mxnet/issues/15260#issuecomment-502856581
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels
chandana1332 opened a new issue #15260: Gluon Trainer fails with Horovod
DistributedTrainer
URL: https://github.com/apache/incubator-mxnet/issues/15260
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marcoabreu pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet-site.git
The following commit(s) were added to refs/heads/asf-site by this push:
new 8661d8a Bump the publish
anirudh2290 commented on issue #15171: Upgrade archive utility and add back FC
improvement
URL: https://github.com/apache/incubator-mxnet/pull/15171#issuecomment-502835741
thanks @marcoabreu . will merge unless someone has objections.
anirudh2290 commented on issue #15171: Upgrade archive utility and add back FC
improvement
URL: https://github.com/apache/incubator-mxnet/pull/15171#issuecomment-502830866
@szha @marcoabreu @sandeep-krishnamurthy Is this good to merge ?
apeforest commented on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-502828155
@kshitij12345 still one GPU test failed. I looked at the log and don't find
it related to your change. Could you please rebase and trigger CI one
apeforest opened a new issue #15259: MXNet examples result in a seg fault
URL: https://github.com/apache/incubator-mxnet/issues/15259
## Description
Running mnist example under example/distributed_training-horovod caused
segmentation fault. Cross linked an issue filed in horovod repo:
mxnet-label-bot commented on issue #15259: MXNet examples result in a seg fault
URL:
https://github.com/apache/incubator-mxnet/issues/15259#issuecomment-502823732
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels so
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marcoabreu pushed a commit to branch asf-site
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jmerkow commented on issue #15026: [MXNET-14421] Make global pooling backwards
compatible
URL: https://github.com/apache/incubator-mxnet/pull/15026#issuecomment-502797580
Im not sure this should be merged, but it could provide assistance to those
who have trained with the previous
jmerkow edited a comment on issue #14421: Updating mxnet from 1.0.0, networks
give different outputs
URL:
https://github.com/apache/incubator-mxnet/issues/14421#issuecomment-502796472
@larroy. It’s not about correct behavior. Networks already trained with the
buggy behavior will not work
larroy edited a comment on issue #12160: Remove conflicting llvm OpenMP from
cmake builds
URL: https://github.com/apache/incubator-mxnet/pull/12160#issuecomment-502795730
Why do you mean by your latest comment and what additional info are you
requesting?
What is your comment
jmerkow commented on issue #14421: Updating mxnet from 1.0.0, networks give
different outputs
URL:
https://github.com/apache/incubator-mxnet/issues/14421#issuecomment-502796472
@larroy. It’s not about correct behavior. Networks trained with the buggy
behavior will not work, I was looking
larroy commented on issue #12160: Remove conflicting llvm OpenMP from cmake
builds
URL: https://github.com/apache/incubator-mxnet/pull/12160#issuecomment-502795730
Why do you mean by your latest comment and what additional info are you
requesting?
What is your comment regarding the
larroy commented on issue #14421: Updating mxnet from 1.0.0, networks give
different outputs
URL:
https://github.com/apache/incubator-mxnet/issues/14421#issuecomment-502793762
I think this is the first paper that proposed global pooling.
https://arxiv.org/abs/1312.4400
cjolivier01 commented on issue #12160: Remove conflicting llvm OpenMP from
cmake builds
URL: https://github.com/apache/incubator-mxnet/pull/12160#issuecomment-502791334
As you can see, standard MKL builds also use libomp.
ldd /usr/local/lib/python3.6/dist-packages/mxnet/libmxnet.so
cjolivier01 closed pull request #12160: Remove conflicting llvm OpenMP from
cmake builds
URL: https://github.com/apache/incubator-mxnet/pull/12160
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Zha0q1 commented on a change in pull request #15210: [WIP] Custom Operator
Profiling Enhancement
URL: https://github.com/apache/incubator-mxnet/pull/15210#discussion_r294405898
##
File path: src/profiler/custom_op_profiler.h
##
@@ -0,0 +1,91 @@
+/*
+* Licensed to the
piyushghai closed pull request #14462: [MXNET-1358][Fit API] Fit api tutorial
URL: https://github.com/apache/incubator-mxnet/pull/14462
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hzfan opened a new pull request #15258: Numpy Trace
URL: https://github.com/apache/incubator-mxnet/pull/15258
## Description ##
Numpy-compatible version of trace with a new kernel
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
anirudhacharya commented on issue #14503: API to create RecordIO files
URL: https://github.com/apache/incubator-mxnet/pull/14503#issuecomment-502729632
> @anirudhacharya Can you look at the failing CI ?
> What's the path forward here on this PR ?
yes, i will update the PR.
pengxin99 commented on issue #12893: Dummy-data based benchmarking script for
Gluon RNN-API
URL: https://github.com/apache/incubator-mxnet/pull/12893#issuecomment-502712586
@kalyc @vandanavk @anirudhacharya I have addressed the review comments,
could you please take a look? Thanks.
pengxin99 commented on issue #12893: Dummy-data based benchmarking script for
Gluon RNN-API
URL: https://github.com/apache/incubator-mxnet/pull/12893#issuecomment-502710383
@roywei thanks for you review, and I test our script on 8180-1s with 29
cores, below is the results:
zixuanweeei commented on issue #15231: mxnet.nd.random.multinomial is very slow
on CPU and stucked on GPU
URL:
https://github.com/apache/incubator-mxnet/issues/15231#issuecomment-502689461
We used binary search to optimize `mx.nd.random.multinomial` and it got
interesting result. On Xeon
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marcoabreu pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet-site.git
The following commit(s) were added to refs/heads/asf-site by this push:
new ae42c63 Bump the publish
zixuanweeei edited a comment on issue #15231: mxnet.nd.random.multinomial is
very slow on CPU and stucked on GPU
URL:
https://github.com/apache/incubator-mxnet/issues/15231#issuecomment-502514292
@chinakook Thanks for your examples. It's informative. Pytorch uses a binary
search for the
mouryarishik edited a comment on issue #9686: [Discussion] MXNet 2.0 Roadmap
(was: APIs that might be a good idea to break in 2.0)
URL:
https://github.com/apache/incubator-mxnet/issues/9686#issuecomment-502638863
I'd like to share my opinions on the roadmap to build MXNet 2.0.
-
mouryarishik edited a comment on issue #9686: [Discussion] MXNet 2.0 Roadmap
(was: APIs that might be a good idea to break in 2.0)
URL:
https://github.com/apache/incubator-mxnet/issues/9686#issuecomment-502638863
I'd like to share my opinions on the roadmap to build MXNet 2.0.
-
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