CodingCat commented on issue #9552: [REQUEST FOR REVIEW | DO NOT MERGE] Model
Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#issuecomment-371021235
Hi, the community has passed to vote about associating the code changes with
JIRA
(https://lists.apac
CodingCat commented on issue #9496: Draw labels name
URL: https://github.com/apache/incubator-mxnet/pull/9496#issuecomment-371021278
Hi, the community has passed to vote about associating the code changes with
JIRA
(https://lists.apache.org/thread.html/ab22cf0e35f1bce2c3bf3bec2bc5b85a9583a
CodingCat commented on issue #9603: Btaskaya/stringformatting
URL: https://github.com/apache/incubator-mxnet/pull/9603#issuecomment-371021123
Hi, the community has passed to vote about associating the code changes with
JIRA
(https://lists.apache.org/thread.html/ab22cf0e35f1bce2c3bf3bec2bc5
CodingCat commented on issue #9318: simplify import of citation metadata
URL: https://github.com/apache/incubator-mxnet/pull/9318#issuecomment-371021300
Hi, the community has passed to vote about associating the code changes with
JIRA
(https://lists.apache.org/thread.html/ab22cf0e35f1bce2c
CodingCat commented on issue #9466: WIP (testing windows builds) Enable CUDA
NVTX extensions for profiler
URL: https://github.com/apache/incubator-mxnet/pull/9466#issuecomment-371021291
Hi, the community has passed to vote about associating the code changes with
JIRA
(https://lists.apache
CodingCat commented on issue #9195: [WIP]NCE loss gluon
URL: https://github.com/apache/incubator-mxnet/pull/9195#issuecomment-371021350
Hi, the community has passed to vote about associating the code changes with
JIRA
(https://lists.apache.org/thread.html/ab22cf0e35f1bce2c3bf3bec2bc5b85a95
CodingCat commented on issue #9273: Enhancements to the build mechanism
URL: https://github.com/apache/incubator-mxnet/pull/9273#issuecomment-371021319
Hi, the community has passed to vote about associating the code changes with
JIRA
(https://lists.apache.org/thread.html/ab22cf0e35f1bce2c3
CodingCat commented on issue #9152: tutorial for distributed training
URL: https://github.com/apache/incubator-mxnet/pull/9152#issuecomment-371021385
Hi, the community has passed to vote about associating the code changes with
JIRA
(https://lists.apache.org/thread.html/ab22cf0e35f1bce2c3bf
CodingCat commented on issue #9263: Fixes #9210: Cosine Loss Formula
URL: https://github.com/apache/incubator-mxnet/pull/9263#issuecomment-371021334
Hi, the community has passed to vote about associating the code changes with
JIRA
(https://lists.apache.org/thread.html/ab22cf0e35f1bce2c3bf3
CodingCat 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-371021408
Hi, the community has passed to vote about associating the code changes with
JIRA
(https://lists
CodingCat commented on issue #9142: add lstm sentimental analysis tutorial
URL: https://github.com/apache/incubator-mxnet/pull/9142#issuecomment-371021398
Hi, the community has passed to vote about associating the code changes with
JIRA
(https://lists.apache.org/thread.html/ab22cf0e35f1bce
CodingCat commented on issue #8107: "add warmup lr_scheduler" create a new pr
URL: https://github.com/apache/incubator-mxnet/pull/8107#issuecomment-371021481
Hi, the community has passed to vote about associating the code changes with
JIRA
(https://lists.apache.org/thread.html/ab22cf0e35f
CodingCat commented on issue #8582: Yolo2 operator
URL: https://github.com/apache/incubator-mxnet/pull/8582#issuecomment-371021434
Hi, the community has passed to vote about associating the code changes with
JIRA
(https://lists.apache.org/thread.html/ab22cf0e35f1bce2c3bf3bec2bc5b85a9583a3f
CodingCat commented on issue #8915: NVLink communication pattern updated
URL: https://github.com/apache/incubator-mxnet/pull/8915#issuecomment-371021419
Hi, the community has passed to vote about associating the code changes with
JIRA
(https://lists.apache.org/thread.html/ab22cf0e35f1bce2
CodingCat commented on issue #8797: fix errors for reinterpret_cast usage
URL: https://github.com/apache/incubator-mxnet/pull/8797#issuecomment-371021427
Hi, the community has passed to vote about associating the code changes with
JIRA
(https://lists.apache.org/thread.html/ab22cf0e35f1bce2
CodingCat commented on issue #8027: Optional reshape of predictions in
Perplexity metric
URL: https://github.com/apache/incubator-mxnet/pull/8027#issuecomment-371021494
Hi, the community has passed to vote about associating the code changes with
JIRA
(https://lists.apache.org/thread.html/
CodingCat commented on issue #8423: Re-implement segnet in MXnet
URL: https://github.com/apache/incubator-mxnet/pull/8423#issuecomment-371021462
Hi, the community has passed to vote about associating the code changes with
JIRA
(https://lists.apache.org/thread.html/ab22cf0e35f1bce2c3bf3bec2
CodingCat commented on issue #8547: Revised validating process of a bounding
box in ImageDetIter
URL: https://github.com/apache/incubator-mxnet/pull/8547#issuecomment-371021444
Hi, the community has passed to vote about associating the code changes with
JIRA
(https://lists.apache.org/thre
CodingCat commented on issue #8107: "add warmup lr_scheduler" create a new pr
URL: https://github.com/apache/incubator-mxnet/pull/8107#issuecomment-371021474
Hi, the community has passed to vote about associating the code changes with
JIRA
(https://lists.apache.org/thread.html/ab22cf0e35f
Mabinogiysk opened a new issue #10020: How can I build C++ package?
URL: https://github.com/apache/incubator-mxnet/issues/10020
I can not find anything about installing mxnet for C++.
The tutorials about
[C++](https://mxnet.incubator.apache.org/tutorials/c++/basics.html) mentions
["bui
starimpact commented on issue #8695: Hangs training on P100
URL:
https://github.com/apache/incubator-mxnet/issues/8695#issuecomment-371023082
i encountered the deadlock also
mxnet version is v0.8.0
```
#0 pthread_cond_wait@@GLIBC_2.3.2 ()
#1 0x7f39f58198dc in
std::con
nihui commented on issue #9960: [MXNET-30] Add label augmentation support in
image recordio2
URL: https://github.com/apache/incubator-mxnet/pull/9960#issuecomment-371023666
jenkins please retest changes
This is an automated m
piiswrong commented on issue #10018: Bug Fix and performance optimized for rtc
URL: https://github.com/apache/incubator-mxnet/pull/10018#issuecomment-371026295
@CodingCat When was this? JIRA is ancient and arcane. This only adds
unnecessary overhead.
---
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-371026517
@wkcn thanks for the detail profiling data.
Regarding sorting, you can use M
piiswrong commented on a change in pull request #10014: Fix crash with
mx.nd.ones
URL: https://github.com/apache/incubator-mxnet/pull/10014#discussion_r172745323
##
File path: src/imperative/imperative_utils.h
##
@@ -70,12 +70,14 @@ inline Context GetContext(const nnvm::No
This is an automated email from the ASF dual-hosted git repository.
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 0fe04e9 add SameType as default type inf
piiswrong closed pull request #9942: add SameType as default type inference
function in imperative mode
URL: https://github.com/apache/incubator-mxnet/pull/9942
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
ashokei opened a new pull request #10021: [MXNET-33] Mkldnn pooling convention
crash
URL: https://github.com/apache/incubator-mxnet/pull/10021
## Description ##
As crash is seen if pooling convention is "full" with Max pool. This PR
resolves the crash by defaulting to CPU implementation
eric-haibin-lin closed issue #9957: R Package Fails to Build since #9882
URL: https://github.com/apache/incubator-mxnet/issues/9957
This is an automated message from the Apache Git Service.
To respond to the message, please l
ashokei commented on issue #10021: [MXNET-33] Mkldnn pooling convention crash
URL: https://github.com/apache/incubator-mxnet/pull/10021#issuecomment-371031468
@zheng-da @TaoLv please review. I notice we do not have proper "full"
pooling convention support, this PR disables mkl-dnn pooling f
eric-haibin-lin commented on issue #9921: [DISCUSSION]
module.contrib.SparseModule API
URL:
https://github.com/apache/incubator-mxnet/issues/9921#issuecomment-371033223
@anirudh2290 Yes. It takes any function. So you could have sth like:
```
class A:
def __init__(self):
Mabinogiysk commented on issue #9814: C++ Convolution layer usage produces
"Segmentation fault"
URL:
https://github.com/apache/incubator-mxnet/issues/9814#issuecomment-371033697
Hi, could you tell me where to find the tutorials about building C++ package?
-
piiswrong commented on issue #9934: [MXNET-31] Support variable sequence length
in gluon.RecurrentCell
URL: https://github.com/apache/incubator-mxnet/pull/9934#issuecomment-371034064
@szha Is this ready?
This is an automated
sxjscience commented on issue #9934: [MXNET-31] Support variable sequence
length in gluon.RecurrentCell
URL: https://github.com/apache/incubator-mxnet/pull/9934#issuecomment-371034568
I need to test the VariationalDropoutCell. Will add it after I finish the
implementation of LayerNorm. Ho
TaoLv commented on issue #10021: [MXNET-33] Mkldnn pooling convention crash
URL: https://github.com/apache/incubator-mxnet/pull/10021#issuecomment-371034685
There is a test case for max pooling with `full` convention:
https://github.com/apache/incubator-mxnet/blob/master/tests/python/gpu/te
piiswrong commented on a change in pull request #9960: [MXNET-30] Add label
augmentation support in image recordio2
URL: https://github.com/apache/incubator-mxnet/pull/9960#discussion_r172749317
##
File path: src/io/image_iter_common.h
##
@@ -85,6 +85,14 @@ class ImageLabe
piiswrong commented on a change in pull request #9029: Update ndarray binary
ops to use kernel launch instead of mshadow operations
URL: https://github.com/apache/incubator-mxnet/pull/9029#discussion_r172749967
##
File path: src/ndarray/ndarray.cc
##
@@ -805,15 +808,71 @@
piiswrong commented on a change in pull request #9029: Update ndarray binary
ops to use kernel launch instead of mshadow operations
URL: https://github.com/apache/incubator-mxnet/pull/9029#discussion_r172750286
##
File path: src/ndarray/ndarray_function-inl.h
##
@@ -446,6
piiswrong commented on a change in pull request #10021: [MXNET-33] Mkldnn
pooling convention crash
URL: https://github.com/apache/incubator-mxnet/pull/10021#discussion_r172750399
##
File path: src/operator/nn/mkldnn/mkldnn_pooling-inl.h
##
@@ -92,6 +92,8 @@ inline bool Sup
piiswrong commented on a change in pull request #10018: Bug Fix and performance
optimized for rtc
URL: https://github.com/apache/incubator-mxnet/pull/10018#discussion_r172750653
##
File path: example/numpy-ops/custom_softmax_rtc.py
##
@@ -23,78 +23,91 @@
class Softmax(m
anirudh2290 commented on a change in pull request #10014: Fix crash with
mx.nd.ones
URL: https://github.com/apache/incubator-mxnet/pull/10014#discussion_r172751325
##
File path: src/imperative/imperative_utils.h
##
@@ -70,12 +70,14 @@ inline Context GetContext(const nnvm::
nihui commented on a change in pull request #9960: [MXNET-30] Add label
augmentation support in image recordio2
URL: https://github.com/apache/incubator-mxnet/pull/9960#discussion_r172752595
##
File path: src/io/image_iter_common.h
##
@@ -85,6 +85,14 @@ class ImageLabelMap
rahul003 commented on a change in pull request #9029: [MXNET-36] Update ndarray
binary ops to use kernel launch instead of mshadow operations
URL: https://github.com/apache/incubator-mxnet/pull/9029#discussion_r172760891
##
File path: src/ndarray/ndarray_function-inl.h
##
mseeger commented on issue #9982: Unary ops logcdf_normal, derivlogcdf_normal
for log CDF of standard n?
URL: https://github.com/apache/incubator-mxnet/pull/9982#issuecomment-370703827
@piiswrong Are you worried about polluting the global namespace with
specific mathematical functions?
lightingghost opened a new issue #10002: _backward_Convolution is
non-differentiable
URL: https://github.com/apache/incubator-mxnet/issues/10002
As I saw mxnet has `autograd` package to support high order gradients, I
tried to implement wgan-gp with mxnet. But I got an error of
```
ahkarami opened a new issue #10003: [feature request] C++ API Documentation and
Tutorial
URL: https://github.com/apache/incubator-mxnet/issues/10003
Thanks the MXNet team for releasing the framework. However, I think its
current documentation for C++ API is not complete (_e.g._, How to ins
marcoabreu 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-370716483
Hi, you can just create an empty commit to trigger the CI yourself :)
JackieWu
marcoabreu closed pull request #: R fix
URL: https://github.com/apache/incubator-mxnet/pull/
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 foreign pull request (from a fork),
This is an automated email from the ASF dual-hosted git repository.
marcoabreu pushed a commit to branch v1.1.0
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/v1.1.0 by this push:
new 9f40c74 R fix (#)
9f40c74 is d
marcoabreu commented on a change in pull request #9995: [DO NOT MERGE] Start CI
docker revamp
URL: https://github.com/apache/incubator-mxnet/pull/9995#discussion_r172461200
##
File path: ci/docker/install/ubuntu_perl.sh
##
@@ -0,0 +1,26 @@
+#!/bin/bash
+
+# Licensed to the
wkcn 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-370730412
@marcoabreu Thank you:) I will commit it soon.
-
larroy commented on issue #9993: cmake cannot build mxnet
URL:
https://github.com/apache/incubator-mxnet/issues/9993#issuecomment-370737102
Well, it's clear from the logic in the CMake file what the problem is. I can
fix it, but honestly I would like to test the build system better or be m
larroy commented on issue #9993: cmake cannot build mxnet
URL:
https://github.com/apache/incubator-mxnet/issues/9993#issuecomment-370738175
Another problem right now is what we discussed previously with @cjolivier01 :
When I build in CLion:
```
CMake Error at CMakeLists.txt
sbodenstein commented on issue #9543: Variable Length Support for cuDNN RNN
URL:
https://github.com/apache/incubator-mxnet/issues/9543#issuecomment-370758230
So it seems as though we should wait a little bit before jumping in to add
support. It seems as though Intel will have their RNN ope
larroy opened a new issue #10004: [ARM][Jetson] assertion failed in unit test
URL: https://github.com/apache/incubator-mxnet/issues/10004
## Description
Unit test faillure / assertion triggered in testing forward for
mobilenetv2_0.25
## Environment info (Required)
```
Mabinogiysk opened a new issue #10005: Where should I put my dll after building
from source?
URL: https://github.com/apache/incubator-mxnet/issues/10005
## Description
I have built mxnet from source and I got error when I import mxnet in python:
```
D:\Anaconda3\lib\ctypes\__init__
mseeger commented on issue #9982: Unary ops logcdf_normal, derivlogcdf_normal
for log CDF of standard n?
URL: https://github.com/apache/incubator-mxnet/pull/9982#issuecomment-370795671
If things have to be moved to a namespace, I'd need help on how to do that:
I don't know how this works.
lixiangchun opened a new issue #10006: How to visualise filters of MXNet model?
URL: https://github.com/apache/incubator-mxnet/issues/10006
How to visualise filters of MXNet model like what has been done in keras -
[https://blog.keras.io/how-convolutional-neural-networks-see-the-world.html]
cjolivier01 opened a new pull request #10007: add name
URL: https://github.com/apache/incubator-mxnet/pull/10007
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
- [ ] Passed code style checking (`make lint`)
- [ ] Changes a
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_r172564668
##
File path: src/operator/contrib/proposal.cu
##
tlby commented on a change in pull request #9988: [Perl] Sparse feature.
URL: https://github.com/apache/incubator-mxnet/pull/9988#discussion_r172571957
##
File path: perl-package/AI-MXNetCAPI/mxnet_typemaps.i
##
@@ -112,6 +112,32 @@
}
}
+%typemap(in,numinputs=0) (co
sxjscience commented on issue #10002: _backward_Convolution is
non-differentiable
URL:
https://github.com/apache/incubator-mxnet/issues/10002#issuecomment-370864594
Supporting higher order gradients is on the agenda. Refer to the discussion
in https://github.com/apache/incubator-mxnet/iss
sxjscience commented on issue #10002: _backward_Convolution is
non-differentiable
URL:
https://github.com/apache/incubator-mxnet/issues/10002#issuecomment-370865067
I find the issue is similar as
https://github.com/apache/incubator-mxnet/issues/9979 . Let's move the
discussion there.
--
sxjscience closed issue #10002: _backward_Convolution is non-differentiable
URL: https://github.com/apache/incubator-mxnet/issues/10002
This is an automated message from the Apache Git Service.
To respond to the message, plea
cjolivier01 closed pull request #9955: [DO NOT MERGE] Cython CI check
URL: https://github.com/apache/incubator-mxnet/pull/9955
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 foreign p
szha opened a new pull request #10008: gluon dataset download refactor
URL: https://github.com/apache/incubator-mxnet/pull/10008
## Description ##
refactor of download logic in #9986
## Checklist ##
### Essentials ###
- [x] Passed code style checking (`make lint`)
- [x] C
larroy opened a new issue #10009: [CMAKE][IoT] Remove pthread from
android_arm64 build
URL: https://github.com/apache/incubator-mxnet/issues/10009
Logic to detect the target platform should be added to CMake by using
try_run and #error as done in openmp
---
aaronmarkham opened a new pull request #10010: Documentation for
build_version_doc scripts folder
URL: https://github.com/apache/incubator-mxnet/pull/10010
## Description ##
Adding documentation for the `build_version_doc` scripts folder.
zhanghang1989 commented on issue #9931: Add axes support to Dropout for
variational dropout in NLP
URL: https://github.com/apache/incubator-mxnet/pull/9931#issuecomment-370880704
@szha The performance of dropout should be the same as before, when no axes
are given.
--
cjolivier01 commented on issue #9931: Add axes support to Dropout for
variational dropout in NLP
URL: https://github.com/apache/incubator-mxnet/pull/9931#issuecomment-370880967
If you have a request for changes from a committer, you can't merge per
Apache guidelines.
-
cjolivier01 commented on issue #9931: Add axes support to Dropout for
variational dropout in NLP
URL: https://github.com/apache/incubator-mxnet/pull/9931#issuecomment-370881129
What is the performance impact of these changes for default axes behavior
compared ot the older code?
--
szha commented on issue #9931: Add axes support to Dropout for variational
dropout in NLP
URL: https://github.com/apache/incubator-mxnet/pull/9931#issuecomment-370881524
Hang suggested that if `axes` is empty, the behavior is exactly the same as
before the change
https://github.com/apache
szha commented on issue #9931: Add axes support to Dropout for variational
dropout in NLP
URL: https://github.com/apache/incubator-mxnet/pull/9931#issuecomment-370881902
Did the guideline explain how committers deal with stale reviews?
--
cjolivier01 commented on issue #9931: Add axes support to Dropout for
variational dropout in NLP
URL: https://github.com/apache/incubator-mxnet/pull/9931#issuecomment-370883978
Apache say:
"A code-modification proposal may be stopped dead in its tracks by a -1 vote
by a qualified v
szha commented on issue #9931: Add axes support to Dropout for variational
dropout in NLP
URL: https://github.com/apache/incubator-mxnet/pull/9931#issuecomment-370884321
Haha OK. Jokes aside, did Hang sufficiently address your concern?
--
cjolivier01 commented on issue #9931: Add axes support to Dropout for
variational dropout in NLP
URL: https://github.com/apache/incubator-mxnet/pull/9931#issuecomment-370885831
Yeah, I'm good.
This is an automated message fro
reminisce commented on issue #10006: How to visualise filters of MXNet model?
URL:
https://github.com/apache/incubator-mxnet/issues/10006#issuecomment-370885981
Thanks for the reference. We have been working on enabling visualization of
MXNet data in the TensorBoard. You can see the design
szha commented on issue #9986: gluon language modeling dataset and text token
reader
URL: https://github.com/apache/incubator-mxnet/pull/9986#issuecomment-370887670
I created a separate PR (linked above) for making the download refactoring
changes on master, and will rebase this PR once th
anirudhacharya commented on issue #9963: Onnx Module to import onnx models into
mxnet
URL: https://github.com/apache/incubator-mxnet/pull/9963#issuecomment-370888340
@piiswrong can you please take a look at the code. We will keep adding more
operator support, but can you review the general
larroy opened a new issue #10011: [CMake][IoT][Jetson] Building with CMake
produces libomp.so
URL: https://github.com/apache/incubator-mxnet/issues/10011
we should use -fopenmp and not 3rd party openmp depending on the target
platform
-
piiswrong commented on issue #9991: Random shuffle implementation
URL: https://github.com/apache/incubator-mxnet/pull/9991#issuecomment-370892094
Our principle is to try to conform to numpy API as much as possible.
Especially in cases like this where users could silently get confusing resul
piiswrong closed issue #9976: The assignment problem about NDArray
URL: https://github.com/apache/incubator-mxnet/issues/9976
This is an automated message from the Apache Git Service.
To respond to the message, please log on
piiswrong closed pull request #9981: [fix issue#9976] The assignment problem in
NDArray
URL: https://github.com/apache/incubator-mxnet/pull/9981
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 an automated email from the ASF dual-hosted git repository.
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 e2b1a56 [fix issue#9976] The assignment
yzhliu closed pull request #9931: Add axes support to Dropout for variational
dropout in NLP
URL: https://github.com/apache/incubator-mxnet/pull/9931
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:
This is an automated email from the ASF dual-hosted git repository.
liuyizhi 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 40de6ab Add axes support to Dropout
piiswrong commented on issue #9982: Unary ops logcdf_normal, derivlogcdf_normal
for log CDF of standard n?
URL: https://github.com/apache/incubator-mxnet/pull/9982#issuecomment-370896548
Is this exactly the same with scipy.stats.norm.logcdf? If so maybe we call
it logcdf too?
derivlogcd
piiswrong commented on issue #9958: Parallelization for ROIpooling OP
URL: https://github.com/apache/incubator-mxnet/pull/9958#issuecomment-370899560
@cjolivier01
This is an automated message from the Apache Git Service.
To r
piiswrong closed pull request #10008: gluon dataset download refactor
URL: https://github.com/apache/incubator-mxnet/pull/10008
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 foreign
This is an automated email from the ASF dual-hosted git repository.
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 29f7f43 gluon dataset download refactor
lightingghost commented on issue #10002: _backward_Convolution is
non-differentiable
URL:
https://github.com/apache/incubator-mxnet/issues/10002#issuecomment-370905340
@sxjscience I think #9979 is a question rather than a feature request. In
his case, he should use `autograd.grad` and set
This is an automated email from the ASF dual-hosted git repository.
zhasheng pushed a change to branch nlp_toolkit
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 02dd89a Non-blocking row_sparse_pull. Fix incorrect indices generated
by device kvstore.row_sparse_
szha commented on issue #9986: gluon language modeling dataset and text token
reader
URL: https://github.com/apache/incubator-mxnet/pull/9986#issuecomment-370906543
Rebased.
This is an automated message from the Apache Git Se
aidan-plenert-macdonald commented on issue #9979: Computing the second
derivative
URL:
https://github.com/apache/incubator-mxnet/issues/9979#issuecomment-370912952
@sxjscience If you tell me how, I can help add support for higher order
gradients in more operators
aidan-plenert-macdonald commented on issue #9979: Computing the second
derivative
URL:
https://github.com/apache/incubator-mxnet/issues/9979#issuecomment-370912952
@sxjscience If you tell me how, I can help add support for higher order
gradients in more operators. A working example and po
sxjscience commented on issue #9979: Computing the second derivative
URL:
https://github.com/apache/incubator-mxnet/issues/9979#issuecomment-370914218
@lightingghost Thanks a lot! Could you help give the solution to the
question in this PR? I'll double confirm with Eric on the current plan
lightingghost opened a new issue #10002: _backward_Convolution is
non-differentiable
URL: https://github.com/apache/incubator-mxnet/issues/10002
As I saw mxnet has `autograd` package to support high order gradients, I
tried to implement wgan-gp with mxnet. But I got an error of
```
lightingghost commented on issue #9979: Computing the second derivative
URL:
https://github.com/apache/incubator-mxnet/issues/9979#issuecomment-370919814
I will suggest using `autograd.grad` for computing second order derivatives.
like [here](https://mxnet.apache.org/api/python/autograd/au
lightingghost commented on issue #9979: Computing the second derivative
URL:
https://github.com/apache/incubator-mxnet/issues/9979#issuecomment-370919814
I will suggest using `autograd.grad` for computing second order derivatives.
like [here](https://mxnet.apache.org/api/python/autograd/au
aidan-plenert-macdonald commented on issue #9979: Computing the second
derivative
URL:
https://github.com/apache/incubator-mxnet/issues/9979#issuecomment-370922133
Gave me
```
MXNetError: [12:44:29] src/pass/gradient.cc:187: Operator
_backward_power_scalar is non-differentiable
1 - 100 of 203 matches
Mail list logo
