janelu9 commented on issue #8999: how to train data on hadoop ?
URL:
https://github.com/apache/incubator-mxnet/issues/8999#issuecomment-350968969
I have a data of 81GB need to be trained
This is an automated message from the
caiqi commented on issue #8977: v1.0 with NCCL
URL:
https://github.com/apache/incubator-mxnet/issues/8977#issuecomment-350964077
Thanks! By the way, is there any plan to support prebuilt package with more
flags open, like USE_PROFILER ?
vsooda commented on issue #8950: fix build error in clang-900.0.38 in mac
URL: https://github.com/apache/incubator-mxnet/pull/8950#issuecomment-350961211
I can use Makefile to build the whole mxnet successfully. but when I build
mxnet_predict-all.cc, the error occurs. I have to add namespa
leleamol commented on issue #9004: test_nccl.py script causes a core dump on
P2.16xlarge instance when ran against NCCL enabled MXNet build.
URL:
https://github.com/apache/incubator-mxnet/issues/9004#issuecomment-350951363
@ptrendx
### Following is the output of test_nccl.py when ran w
leleamol commented on issue #9004: test_nccl.py script causes a core dump on
P2.16xlarge instance when ran against NCCL enabled MXNet build.
URL:
https://github.com/apache/incubator-mxnet/issues/9004#issuecomment-350951363
@ptrendx following is the output of test_nccl.py when ran with
NCC
piiswrong commented on a change in pull request #8993: Fix compatibility of
examples with py3
URL: https://github.com/apache/incubator-mxnet/pull/8993#discussion_r156273921
##
File path: example/rcnn/rcnn/core/tester.py
##
@@ -15,13 +15,14 @@
# specific language governing
piiswrong commented on a change in pull request #9025: fix small memory leak of
sparse embedding
URL: https://github.com/apache/incubator-mxnet/pull/9025#discussion_r156273598
##
File path: src/operator/tensor/indexing_op.cu
##
@@ -91,6 +91,7 @@ void
SparseEmbeddingOpForw
piiswrong commented on issue #8763: Add mxnet.text APIs
URL: https://github.com/apache/incubator-mxnet/pull/8763#issuecomment-350945987
can we move this into gluon.data and make use of Dataset?
This is an automated message fro
piiswrong commented on issue #8851: Use backtrace from dmlc-core
(dmlc::stack_trace())
URL: https://github.com/apache/incubator-mxnet/pull/8851#issuecomment-350945745
You are not updating dmlc-core in this PR. Is it already updated and
contains StackTrace?
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156271400
##
File path: include/mxnet/ndarray.h
##
@@ -608,6 +549,37 @@ class NDArray {
<< "CheckAndAllocAu
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156271162
##
File path: src/operator/nn/cudnn/cudnn_convolution-inl.h
##
@@ -42,9 +42,19 @@ namespace op {
* \brief The
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156270697
##
File path: src/operator/nn/cudnn/cudnn_activation-inl.h
##
@@ -54,67 +60,55 @@ class CuDNNActivationOp : pub
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156270453
##
File path: src/ndarray/ndarray.cc
##
@@ -64,17 +158,147 @@ nnvm::Symbol NDArray::get_autograd_symbol() const
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156270370
##
File path: src/ndarray/ndarray.cc
##
@@ -64,17 +158,147 @@ nnvm::Symbol NDArray::get_autograd_symbol() const
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156270291
##
File path: src/ndarray/ndarray.cc
##
@@ -64,17 +158,147 @@ nnvm::Symbol NDArray::get_autograd_symbol() const
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156270211
##
File path: src/ndarray/ndarray.cc
##
@@ -64,17 +158,147 @@ nnvm::Symbol NDArray::get_autograd_symbol() const
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156270186
##
File path: src/ndarray/ndarray.cc
##
@@ -64,17 +158,147 @@ nnvm::Symbol NDArray::get_autograd_symbol() const
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156270078
##
File path: src/ndarray/ndarray.cc
##
@@ -64,17 +158,147 @@ nnvm::Symbol NDArray::get_autograd_symbol() const
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156270126
##
File path: src/ndarray/ndarray.cc
##
@@ -64,17 +158,147 @@ nnvm::Symbol NDArray::get_autograd_symbol() const
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156269916
##
File path: src/operator/nn/mkldnn/mkldnn_convolution.cc
##
@@ -0,0 +1,255 @@
+/*
+ * Licensed to the Apache
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156269494
##
File path: src/operator/nn/mkldnn/mkldnn_act-inl.h
##
@@ -0,0 +1,133 @@
+/*
+ * Licensed to the Apache Softw
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156269450
##
File path: src/operator/nn/mkldnn/mkldnn_act-inl.h
##
@@ -0,0 +1,133 @@
+/*
+ * Licensed to the Apache Softw
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156269382
##
File path: src/operator/nn/mkldnn/mkldnn_act-inl.h
##
@@ -0,0 +1,133 @@
+/*
+ * Licensed to the Apache Softw
kaonashi-tyc commented on issue #5807: Model Parallelism
URL:
https://github.com/apache/incubator-mxnet/issues/5807#issuecomment-350938578
The example in the tutorial is no longer available
This is an automated message from t
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156266258
##
File path: src/operator/nn/batch_norm-inl.h
##
@@ -212,150 +212,43 @@ class BatchNormOp : public Operator {
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156266045
##
File path: src/operator/nn/batch_norm-inl.h
##
@@ -192,14 +109,16 @@ class BatchNormOp : public Operator {
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156266085
##
File path: src/operator/nn/batch_norm-inl.h
##
@@ -208,155 +127,127 @@ class BatchNormOp : public Operator {
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156266045
##
File path: src/operator/nn/batch_norm-inl.h
##
@@ -192,14 +109,16 @@ class BatchNormOp : public Operator {
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156265847
##
File path: src/operator/nn/activation.cu
##
@@ -31,39 +31,73 @@
namespace mxnet {
namespace op {
+
+#if
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156265784
##
File path: src/operator/nn/activation.cc
##
@@ -21,65 +21,128 @@
* Copyright (c) 2015 by Contributors
*
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156265603
##
File path: src/operator/nn/activation.cc
##
@@ -21,65 +21,128 @@
* Copyright (c) 2015 by Contributors
*
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156265180
##
File path: src/operator/nn/activation-inl.h
##
@@ -61,158 +62,127 @@ struct ActivationParam : public
dmlc::
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156265128
##
File path: src/operator/nn/activation-inl.h
##
@@ -61,158 +62,127 @@ struct ActivationParam : public
dmlc::
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156264862
##
File path: src/operator/nn/activation-inl.h
##
@@ -61,158 +62,127 @@ struct ActivationParam : public
dmlc::
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156264513
##
File path: src/ndarray/ndarray.cc
##
@@ -95,12 +319,36 @@ NDArray NDArray::ReshapeWithRecord(const TShape &s
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156264467
##
File path: src/ndarray/ndarray.cc
##
@@ -64,17 +158,147 @@ nnvm::Symbol NDArray::get_autograd_symbol() const
huabinhuang1994 opened a new issue #9031: cuda error:Check failed: e ==
cudaSuccess || e == cudaErrorCudartUnloading CUDA: unknown error
URL: https://github.com/apache/incubator-mxnet/issues/9031
1.my gpu is 1080ti,my system is ubuntu16.04.
2. I install cuda 8.0 on my computor , and ten
cjolivier01 commented on issue #9016: Add googletest as a 3rdparty library
URL: https://github.com/apache/incubator-mxnet/pull/9016#issuecomment-350924294
Why is appveyor failing? It has to pass to merge
This is an automated
rahul003 commented on issue #9016: Add googletest as a 3rdparty library
URL: https://github.com/apache/incubator-mxnet/pull/9016#issuecomment-350913308
I agree, this makes it so much easier. Will try this
This is an automated
solin319 closed pull request #8961: Fix bug in crossentropy example
URL: https://github.com/apache/incubator-mxnet/pull/8961
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 pul
larroy commented on issue #9016: Add googletest as a 3rdparty library
URL: https://github.com/apache/incubator-mxnet/pull/9016#issuecomment-350913225
Please merge, this is badly needed. The PRs to the subrepos first, then the
submodules need to be restored.
larroy commented on issue #8851: Use backtrace from dmlc-core
(dmlc::stack_trace())
URL: https://github.com/apache/incubator-mxnet/pull/8851#issuecomment-350913767
@cjolivier01 yes, it can be tested.
This is an automated mess
rahul003 commented on issue #9016: Add googletest as a 3rdparty library
URL: https://github.com/apache/incubator-mxnet/pull/9016#issuecomment-350913308
I agree, this makes it so much easier. I installed couple of gtest solutions
I found, but tests don't compile still. Will try this
---
rahul003 commented on issue #9016: Add googletest as a 3rdparty library
URL: https://github.com/apache/incubator-mxnet/pull/9016#issuecomment-350913308
I agree, this makes it so much easier
This is an automated message from th
larroy commented on issue #9016: Add googletest as a 3rdparty library
URL: https://github.com/apache/incubator-mxnet/pull/9016#issuecomment-350913225
Please merge, this is badly needed.
This is an automated message from the Ap
larroy commented on issue #8578: Add development instructions and update
installation instructions
URL: https://github.com/apache/incubator-mxnet/pull/8578#issuecomment-350913087
@rahul003 I integrated Gtest on the repo:
https://github.com/apache/incubator-mxnet/pull/9016
Can yo
larroy commented on issue #8578: Add development instructions and update
installation instructions
URL: https://github.com/apache/incubator-mxnet/pull/8578#issuecomment-350913087
@rahul003 I integrated Gtest on the repo:
https://github.com/apache/incubator-mxnet/pull/9016
larroy commented on a change in pull request #8851: Use backtrace from
dmlc-core (dmlc::stack_trace())
URL: https://github.com/apache/incubator-mxnet/pull/8851#discussion_r156247549
##
File path: src/initialize.cc
##
@@ -25,37 +25,23 @@
#include
#include
#include
-
larroy commented on a change in pull request #8851: Use backtrace from
dmlc-core (dmlc::stack_trace())
URL: https://github.com/apache/incubator-mxnet/pull/8851#discussion_r156247178
##
File path: src/initialize.cc
##
@@ -25,37 +25,23 @@
#include
#include
#include
-
zheng-da commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156240694
##
File path: src/common/utils.h
##
@@ -327,17 +349,7 @@ inline std::string dispatch_mode_string(const
Dispatch
zheng-da commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156240271
##
File path: python/mxnet/ndarray/sparse.py
##
@@ -1138,6 +1139,8 @@ def _ndarray_cls(handle, writable=True,
s
sandeep-krishnamurthy opened a new pull request #9030: Fix Gan
URL: https://github.com/apache/incubator-mxnet/pull/9030
## Description ##
* Remove duplicate broken GAN code from example.
* We have a working and tested GAN tutorial with MXNet in tutorials.
* Made some minor langu
rahul003 commented on issue #8578: Add development instructions and update
installation instructions
URL: https://github.com/apache/incubator-mxnet/pull/8578#issuecomment-350893547
gtest compile fails when I did this. Any idea @larroy ?
Ninja says compile error, some symbols not in scop
reminisce commented on a change in pull request #9014: square sum gpu impl
URL: https://github.com/apache/incubator-mxnet/pull/9014#discussion_r156232351
##
File path: src/operator/tensor/square_sum-inl.h
##
@@ -359,6 +353,24 @@ void SquareSumRspImpl(const nnvm::NodeAttrs&
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156229068
##
File path: src/common/utils.h
##
@@ -327,17 +349,7 @@ inline std::string dispatch_mode_string(const
Dispatc
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156223950
##
File path: python/mxnet/ndarray/sparse.py
##
@@ -1138,6 +1139,8 @@ def _ndarray_cls(handle, writable=True,
rahul003 commented on issue #9029: Replace slower mshadow op with kernel launch
in kvstore_dist_server
URL: https://github.com/apache/incubator-mxnet/pull/9029#issuecomment-350883066
Let me know if there's a better way of doing this elemwise add. I imagine
using kAddTo is more efficient th
reminisce commented on issue #9012: Implementing New Operators
URL:
https://github.com/apache/incubator-mxnet/issues/9012#issuecomment-350882048
1. You can take a look at this. That PR refactored most of nn operators into
using nnvm interfaces. You can register that attribute for an operat
rahul003 commented on a change in pull request #8993: Fix compatibility of
examples with py3
URL: https://github.com/apache/incubator-mxnet/pull/8993#discussion_r156221451
##
File path: example/rcnn/rcnn/core/tester.py
##
@@ -15,13 +15,14 @@
# specific language governing
rahul003 opened a new pull request #9029: Replace slower mshadow op with kernel
launch in kvstore_dist_server
URL: https://github.com/apache/incubator-mxnet/pull/9029
## Description ##
Replaces older deprecated mshadow style addition (using += operator) with
kernel launch.
## Che
zheng-da commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156219864
##
File path: include/mxnet/ndarray.h
##
@@ -608,6 +549,37 @@ class NDArray {
<< "CheckAndAllocAux
cjolivier01 commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156219111
##
File path: include/mxnet/ndarray.h
##
@@ -35,12 +35,12 @@
#include
#include
#include
+#if MXNET_USE_
zheng-da commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156218843
##
File path: python/mxnet/ndarray/mkldnn.py
##
@@ -0,0 +1,87 @@
+# Licensed to the Apache Software Foundation (
cjolivier01 commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156217462
##
File path: include/mxnet/ndarray.h
##
@@ -820,20 +798,14 @@ class NDArray {
// storage shape is also
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156210958
##
File path: python/mxnet/ndarray/mkldnn.py
##
@@ -0,0 +1,87 @@
+# Licensed to the Apache Software Foundation
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156210541
##
File path: include/mxnet/ndarray.h
##
@@ -608,6 +549,37 @@ class NDArray {
<< "CheckAndAllocAu
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156206914
##
File path: include/mxnet/ndarray.h
##
@@ -608,6 +549,37 @@ class NDArray {
<< "CheckAndAllocAu
piiswrong commented on a change in pull request #8302: Refactor operators &
MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r156206438
##
File path: include/mxnet/ndarray.h
##
@@ -35,12 +35,12 @@
#include
#include
#include
+#if MXNET_USE_MK
piiswrong commented on a change in pull request #8851: Use backtrace from
dmlc-core (dmlc::stack_trace())
URL: https://github.com/apache/incubator-mxnet/pull/8851#discussion_r156195856
##
File path: src/initialize.cc
##
@@ -25,37 +25,23 @@
#include
#include
#include
piiswrong closed pull request #8989: Symbol __getitem__ using list_outputs() is
too expensive
URL: https://github.com/apache/incubator-mxnet/pull/8989
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.
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 2700ddb Symbol __getitem__ using list_ou
piiswrong commented on issue #9012: Implementing New Operators
URL:
https://github.com/apache/incubator-mxnet/issues/9012#issuecomment-350851994
@reminisce
This is an automated message from the Apache Git Service.
To respond
GSanchis commented on issue #8669: module.Module and CSVIter
URL:
https://github.com/apache/incubator-mxnet/issues/8669#issuecomment-350847038
So... diving deep into this, and into some of the python libraries of MXNet,
I managed to craft a first version of an iterator which seems to do th
chsin closed issue #8563: Inconsistent Python calls, Python output different
from C++ output
URL: https://github.com/apache/incubator-mxnet/issues/8563
This is an automated message from the Apache Git Service.
To respond to
chsin opened a new issue #9028: How to use the C API to train simple a Softmax
in pure C?
URL: https://github.com/apache/incubator-mxnet/issues/9028
I want to train Softmax(Wx + b) using the C API defined here:
https://github.com/apache/incubator-mxnet/blob/1.0.0/include/mxnet/c_api.h. I
eric-haibin-lin commented on issue #9027: Usability improvement for
cnn_chinese_text_classification
URL: https://github.com/apache/incubator-mxnet/pull/9027#issuecomment-350813971
@qcl6355
This is an automated message from t
eric-haibin-lin opened a new pull request #9027: Usability improvement for
cnn_chinese_text_classification
URL: https://github.com/apache/incubator-mxnet/pull/9027
Usability improvement for cnn_chinese_text_classification
## Description ##
The logs are silently generated at `cnn_text_
This is an automated email from the ASF dual-hosted git repository.
skm 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 324ba04 fixed the issue of drop
sandeep-krishnamurthy closed pull request #38: fixed the issue of drop down
disappearence when trying to pick the ve?
URL: https://github.com/apache/incubator-mxnet-site/pull/38
This is a PR merged from a forked repository.
As GitHub hides the original diff on merge, it is displayed below
eric-haibin-lin commented on issue #8814: csr slice operator, gpu implementation
URL: https://github.com/apache/incubator-mxnet/pull/8814#issuecomment-350805698
@anirudh2290 could you also help review?
This is an automated mes
masahi commented on issue #3589: add MKL2017 experimental support for high perf
URL: https://github.com/apache/incubator-mxnet/pull/3589#issuecomment-350754193
@zhenlinluo What kind of network architectures have you tested with MKL ops?
On windows, we observed that VGG16 with (1, 1, 2
masahi commented on issue #3589: add MKL2017 experimental support for high perf
URL: https://github.com/apache/incubator-mxnet/pull/3589#issuecomment-350754193
@zhenlinluo What kind of network architectures have you tested with MKL ops?
On windows, we observed that VGG16 with (1, 1, 2
KellenSunderland commented on issue #9026: why is it so slow (MXNET0.12)even
with NVIDIA V100 GPU?
URL:
https://github.com/apache/incubator-mxnet/issues/9026#issuecomment-350751277
Hi @dbsxdbsx, thanks for posting demo code. Looking quickly at your code I
would guess you're correct, it's
dbsxdbsx opened a new issue #9026: why is it so slow (MXNET0.12)even with
NVIDIA V100 GPU?
URL: https://github.com/apache/incubator-mxnet/issues/9026
I test my py on AWS EC2 P3.2xlarge(GPU:V100), the .py is as follow:
```
'''this is a py used to predict capts num ranging from 4 to 10~
ZiyueHuang opened a new pull request #9025: disable empty output of
ndarray.slice & fix small mem leak of embedding
URL: https://github.com/apache/incubator-mxnet/pull/9025
## Description ##
(Brief description on what this PR is about)
@eric-haibin-lin @reminisce
## Checklist
my77 opened a new issue #9024: issue with memory cost
URL: https://github.com/apache/incubator-mxnet/issues/9024
## Description
(Brief description of the problem in no more than 2 sentences.)
when training imagenet?the memory cost of resnet has been greatly increased.
batch size
schlichtanders commented on issue #533: [YARN] MXNet on YARN Example
URL: https://github.com/apache/incubator-mxnet/issues/533#issuecomment-350727397
any progress on this?
I probably would like to use MXNet on Hadoop / Yarn, however the lack of
documentation is a real obstacle
-
ZiyueHuang commented on issue #9023: Multiple featureid in one field in
wide&deep example
URL:
https://github.com/apache/incubator-mxnet/issues/9023#issuecomment-350711344
OK, feel free to reopen this issue if you have any further questions or
request other examples. For now user should c
szha commented on issue #7770: MKL ML results depending on number of threads
URL:
https://github.com/apache/incubator-mxnet/issues/7770#issuecomment-350710156
This issue is closed due to lack of activity in the last 90 days. Feel free
to ping me to reopen if this is still an active issue.
szha commented on issue #7838: add $(USE_CUDA_PATH)/lib(64)? as linking lib
search dir
URL: https://github.com/apache/incubator-mxnet/pull/7838#issuecomment-350710163
This issue is closed due to lack of activity in the last 90 days. Feel free
to ping me to reopen if this is still an active
szha closed issue #7770: MKL ML results depending on number of threads
URL: https://github.com/apache/incubator-mxnet/issues/7770
This is an automated message from the Apache Git Service.
To respond to the message, please log
szha commented on issue #7450: reporting bugs: pbegin_ <= pend_. Two thread
conflicts.
URL:
https://github.com/apache/incubator-mxnet/issues/7450#issuecomment-350710159
This issue is closed due to lack of activity in the last 90 days. Feel free
to ping me to reopen if this is still an ac
szha commented on issue #5124: image segmentation Error
URL:
https://github.com/apache/incubator-mxnet/issues/5124#issuecomment-350710169
This issue is closed due to lack of activity in the last 90 days. Feel free
to ping me to reopen if this is still an active issue. Thanks!
Also, do
szha closed issue #7450: reporting bugs: pbegin_ <= pend_. Two thread
conflicts.
URL: https://github.com/apache/incubator-mxnet/issues/7450
This is an automated message from the Apache Git Service.
To respond to the message
szha closed issue #5124: image segmentation Error
URL: https://github.com/apache/incubator-mxnet/issues/5124
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use t
szha closed pull request #7838: add $(USE_CUDA_PATH)/lib(64)? as linking lib
search dir
URL: https://github.com/apache/incubator-mxnet/pull/7838
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
formath commented on issue #9023: Multiple featureid in one field in wide&deep
example
URL:
https://github.com/apache/incubator-mxnet/issues/9023#issuecomment-350709313
I have known how to do it. thanks
This is an automated
formath closed issue #9023: Multiple featureid in one field in wide&deep example
URL: https://github.com/apache/incubator-mxnet/issues/9023
This is an automated message from the Apache Git Service.
To respond to the message,
marcoabreu commented on issue #8738: Fix custom op - infer_storage_type_backward
URL: https://github.com/apache/incubator-mxnet/pull/8738#issuecomment-350706749
Hello @anirudh2290, please rebase your PR in order to be checked by CI.
--
formath commented on issue #9023: Multiple featureid in one field in wide&deep
example
URL:
https://github.com/apache/incubator-mxnet/issues/9023#issuecomment-350702763
Do you mean `libsvm` format like `field:featureid`? But `LibSVMIter` will
parse all `featureid` into one `CSRNDArray`. H
1 - 100 of 108 matches
Mail list logo
