xinyu-intel commented on issue #9918: [MXNET-74]Update mkldnn to the newest &
Add clang build test with mkldnn.
URL: https://github.com/apache/incubator-mxnet/pull/9918#issuecomment-372226657
@marcoabreu @KellenSunderland @cjolivier01 please help confirm the latest
changes, Thanks!
--
jinhuang415 commented on issue #10049: Building MxNet on Win10 with CPP
package, CUDA9 and MKL 2018
URL:
https://github.com/apache/incubator-mxnet/issues/10049#issuecomment-372229747
@EternalSaga Besides put all .dll at the same directory, would you also
check if this issue could be resol
wkcn commented on issue #9939: [MXNET-40]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-372239545
@TaoLv @ZiyueHuang @precedenceguo @piiswrong @pengzhao-intel @xinyu-intel
@marcoab
marcoabreu commented on a change in pull request #9963: [MXNET-34] Onnx Module
to import onnx models into mxnet
URL: https://github.com/apache/incubator-mxnet/pull/9963#discussion_r173756140
##
File path: Jenkinsfile
##
@@ -560,7 +560,18 @@ try {
}
stage('Integrati
marcoabreu commented on a change in pull request #9963: [MXNET-34] Onnx Module
to import onnx models into mxnet
URL: https://github.com/apache/incubator-mxnet/pull/9963#discussion_r173756565
##
File path: ci/docker/Dockerfile.build.ubuntu_cpu
##
@@ -46,6 +46,8 @@ COPY inst
marcoabreu commented on a change in pull request #9963: [MXNET-34] Onnx Module
to import onnx models into mxnet
URL: https://github.com/apache/incubator-mxnet/pull/9963#discussion_r173756982
##
File path: example/onnx/test_super_resolution.py
##
@@ -0,0 +1,112 @@
+# Licens
marcoabreu commented on a change in pull request #9963: [MXNET-34] Onnx Module
to import onnx models into mxnet
URL: https://github.com/apache/incubator-mxnet/pull/9963#discussion_r173758169
##
File path: example/onnx/test_super_resolution.py
##
@@ -0,0 +1,84 @@
+# License
marcoabreu commented on a change in pull request #9963: [MXNET-34] Onnx Module
to import onnx models into mxnet
URL: https://github.com/apache/incubator-mxnet/pull/9963#discussion_r173758757
##
File path: tests/python-pytest/onnx/onnx_backend_test.py
##
@@ -0,0 +1,116 @@
+
marcoabreu commented on a change in pull request #10048: [MXNET-68] Random
shuffle implementation
URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173759100
##
File path: python/mxnet/ndarray/random.py
##
@@ -431,3 +431,35 @@ def multinomial(data, shap
ShootingSpace commented on issue #9934: [MXNET-31] Support variable sequence
length in gluon.RecurrentCell
URL: https://github.com/apache/incubator-mxnet/pull/9934#issuecomment-372271476
Is this feature available? I could not find any function called the `unroll`
-
marcoabreu commented on a change in pull request #10048: [MXNET-68] Random
shuffle implementation
URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173759223
##
File path: src/operator/random/shuffle_op.cc
##
@@ -0,0 +1,134 @@
+/*
+ * Licensed to the Ap
sensharma commented on issue #9699: MXNet pip package installs older version of
numpy (1.13)
URL:
https://github.com/apache/incubator-mxnet/issues/9699#issuecomment-372277630
This is something I am facing as well. When installing numba and mxnet,
mxnet pulls down numpy to 1.13 and breaks
marcoabreu commented on issue #10062: [MXNET-72] [WIP] Improve
sparse.adam_update
URL: https://github.com/apache/incubator-mxnet/pull/10062#issuecomment-372279423
Ah we already got benchmarks at
https://github.com/apache/incubator-mxnet/tree/master/benchmark
ShootingSpace commented on issue #9934: [MXNET-31] Support variable sequence
length in gluon.RecurrentCell
URL: https://github.com/apache/incubator-mxnet/pull/9934#issuecomment-372271476
Is this feature available? I could not find any function called the `unroll`
-
marcoabreu opened a new pull request #10069: [MXNET-60] Enable
MXNET_MKLDNN_DEBUG
URL: https://github.com/apache/incubator-mxnet/pull/10069
## Description ##
Re-enables MXNET_MKLDNN_DEBUG flag to ensure more thorough testing
## Checklist ##
### Essentials ###
- [x] Passed co
Jeffery4000 opened a new issue #10070: Distributed Training (Permission denied)
URL: https://github.com/apache/incubator-mxnet/issues/10070
Hi, I am trying to run distributed training the example provided on 2
different node with the following internal IP address:
```
user1@111.1
marcoabreu commented on issue #10070: Distributed Training (Permission denied)
URL:
https://github.com/apache/incubator-mxnet/issues/10070#issuecomment-372315919
Have you tried using private-key based authentication instead of password
based?
--
hsddlz opened a new issue #10071: warpctc issues
URL: https://github.com/apache/incubator-mxnet/issues/10071
FC = mx.sym.FullyConnected(data=x_3,flatten=False, num_hidden=n_class)
x = mx.sym.softmax(data=FC)
sm_label = mx.sym.Reshape(data=label, shape=(-1,))
sm_label = mx.sym.C
Jeffery4000 commented on issue #10070: Distributed Training (Permission denied)
URL:
https://github.com/apache/incubator-mxnet/issues/10070#issuecomment-372334407
@marcoabreu Thank you for your prompt reply.
I did try on this following guide but still doesn't work at all. As mention
cjolivier01 commented on issue #8465: TypeError: zip argument #2 must support
iteration
URL:
https://github.com/apache/incubator-mxnet/issues/8465#issuecomment-372352113
This appears to be answered, closing. Please reopen if your issue remains.
cjolivier01 closed issue #8465: TypeError: zip argument #2 must support
iteration
URL: https://github.com/apache/incubator-mxnet/issues/8465
This is an automated message from the Apache Git Service.
To respond to the message
cjolivier01 closed issue #8456: setting OMP_NUM_THREADS doesn't improve
performance with MKL2017
URL: https://github.com/apache/incubator-mxnet/issues/8456
This is an automated message from the Apache Git Service.
To respond
cjolivier01 commented on issue #8422: Implementing a new activation function in
Gluon
URL:
https://github.com/apache/incubator-mxnet/issues/8422#issuecomment-372353720
This appears to be resolved in this merge:
https://github.com/apache/incubator-mxnet/pull/9662
Please reopen if necess
cjolivier01 commented on issue #8422: Implementing a new activation function in
Gluon
URL:
https://github.com/apache/incubator-mxnet/issues/8422#issuecomment-372353720
This appears to be resolved in this merge:
https://github.com/apache/incubator-mxnet/pull/9662
Please reopen if necess
cjolivier01 closed issue #8422: Implementing a new activation function in Gluon
URL: https://github.com/apache/incubator-mxnet/issues/8422
This is an automated message from the Apache Git Service.
To respond to the message, p
cjolivier01 commented on issue #8422: Implementing a new activation function in
Gluon
URL:
https://github.com/apache/incubator-mxnet/issues/8422#issuecomment-372353970
This appears to be resolved in this merge: #9662
Please reopen if necessary
--
KellenSunderland commented on a change in pull request #9918: [MXNET-74]Update
mkldnn to the newest & Add clang build test with mkldnn.
URL: https://github.com/apache/incubator-mxnet/pull/9918#discussion_r173846106
##
File path: Jenkinsfile
##
@@ -175,6 +175,24 @@ try {
KellenSunderland commented on a change in pull request #9918: [MXNET-74]Update
mkldnn to the newest & Add clang build test with mkldnn.
URL: https://github.com/apache/incubator-mxnet/pull/9918#discussion_r173845939
##
File path: Jenkinsfile
##
@@ -175,6 +175,24 @@ try {
KellenSunderland opened a new issue #10072: Default CMake build failure.
URL: https://github.com/apache/incubator-mxnet/issues/10072
## Description
Building in my environment is failing with a default cmake build.
## Environment info (Required)
```
--Python Info--
dmas-at-wiris opened a new issue #10073: NaN in loss when using gluon ELU block
URL: https://github.com/apache/incubator-mxnet/issues/10073
I have a CNN that uses ELUs as activation function. When I use the gluon
implementation (`F.where(x > 0, x, self._alpha * (F.exp(x) - 1.0))` from
[her
KellenSunderland commented on issue #10072: Default CMake build failure.
URL:
https://github.com/apache/incubator-mxnet/issues/10072#issuecomment-372368927
It seems that MKL_FOUND is set to true by default regardless of what the
FindMKL.cmake search returns due to this line:
https://githu
asitstands commented on a change in pull request #10048: [MXNET-68] Random
shuffle implementation
URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173857649
##
File path: src/operator/random/shuffle_op.cc
##
@@ -0,0 +1,134 @@
+/*
+ * Licensed to the Ap
astonzhang opened a new pull request #10074: Add vocabulary and embedding
URL: https://github.com/apache/incubator-mxnet/pull/10074
## Description ##
Add vocabulary and embedding
## Checklist ##
### Essentials ###
- [x] Passed code style checking (`make lint`)
- [x
asitstands commented on a change in pull request #10048: [MXNET-68] Random
shuffle implementation
URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173857649
##
File path: src/operator/random/shuffle_op.cc
##
@@ -0,0 +1,134 @@
+/*
+ * Licensed to the Ap
KellenSunderland commented on issue #10072: Default CMake build failure.
URL:
https://github.com/apache/incubator-mxnet/issues/10072#issuecomment-372376424
I'm actually getting another default cmake build failure related to
tvm_bridge. Will open a separate ticket.
---
KellenSunderland opened a new pull request #10075: WIP: Fix default cmake builds
URL: https://github.com/apache/incubator-mxnet/pull/10075
## Description ##
Fixes issue #10072
I'd like to do a test run in CI to make sure this doesn't have unintended
side effects.
---
Roshrini commented on issue #9954: Update on OSX_setup.md
URL: https://github.com/apache/incubator-mxnet/pull/9954#issuecomment-372381370
@CodingCat Do we need to create Jira for document changes as well?
This is an automated
asitstands commented on a change in pull request #10048: [MXNET-68] Random
shuffle implementation
URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173857649
##
File path: src/operator/random/shuffle_op.cc
##
@@ -0,0 +1,134 @@
+/*
+ * Licensed to the Ap
KellenSunderland opened a new issue #10076: Build error w/ TVM in NNVM.
URL: https://github.com/apache/incubator-mxnet/issues/10076
## Description
MXNet fails during compilation for users without NVM installed on their
local machine.
## Environment info (Required)
```
--
KellenSunderland commented on issue #10059: Gluon Trainer causes OOM on multi
GPU instance for more than 5 GPUs
URL:
https://github.com/apache/incubator-mxnet/issues/10059#issuecomment-372385711
Reproduced on another machine.
---
tqchen commented on issue #10076: Build error w/ TVM in NNVM.
URL:
https://github.com/apache/incubator-mxnet/issues/10076#issuecomment-372388001
gits submodule update --init --recursive
This is an automated message from the A
KellenSunderland commented on issue #10076: Build error w/ TVM in NNVM.
URL:
https://github.com/apache/incubator-mxnet/issues/10076#issuecomment-372389969
Thanks! @tqchen. Totally missed those.
This is an automated message f
KellenSunderland closed issue #10076: Build error w/ TVM in NNVM.
URL: https://github.com/apache/incubator-mxnet/issues/10076
This is an automated message from the Apache Git Service.
To respond to the message, please log on
tqchen commented on issue #10076: Build error w/ TVM in NNVM.
URL:
https://github.com/apache/incubator-mxnet/issues/10076#issuecomment-372390265
This is something a user might miss as well and maybe we should post it on
some trouble shooting page.
-
KellenSunderland commented on issue #10072: Default CMake build failure.
URL:
https://github.com/apache/incubator-mxnet/issues/10072#issuecomment-372376424
I'm actually getting another default cmake build failure related to
tvm_bridge. Will open a separate ticket.
---
KellenSunderland commented on issue #10075: Fix CMake build issue with MKL.
URL: https://github.com/apache/incubator-mxnet/pull/10075#issuecomment-372392635
Looks like this is building properly in CI and locally for me. @cjolivier01
would you be able to have a look and see if there's any i
cjolivier01 commented on issue #10075: Fix CMake build issue with MKL.
URL: https://github.com/apache/incubator-mxnet/pull/10075#issuecomment-372395151
Not sure. At this point, I really don't know what's going on with the mkl
build, what works with what, does mkldnn use mklml or mkl? can mk
marcoabreu commented on a change in pull request #10075: Fix CMake build issue
with MKL.
URL: https://github.com/apache/incubator-mxnet/pull/10075#discussion_r173887637
##
File path: ci/docker/runtime_functions.sh
##
@@ -278,8 +278,6 @@ build_ubuntu_gpu_cmake() {
cmak
marcoabreu commented on a change in pull request #10074: Add vocabulary and
embedding
URL: https://github.com/apache/incubator-mxnet/pull/10074#discussion_r173891556
##
File path: tests/python/unittest/test_text.py
##
@@ -0,0 +1,675 @@
+# Licensed to the Apache Software Fo
marcoabreu commented on a change in pull request #10074: Add vocabulary and
embedding
URL: https://github.com/apache/incubator-mxnet/pull/10074#discussion_r173891599
##
File path: tests/python/unittest/test_text.py
##
@@ -0,0 +1,675 @@
+# Licensed to the Apache Software Fo
marcoabreu commented on a change in pull request #10074: Add vocabulary and
embedding
URL: https://github.com/apache/incubator-mxnet/pull/10074#discussion_r173891663
##
File path: tests/python/unittest/test_text.py
##
@@ -0,0 +1,675 @@
+# Licensed to the Apache Software Fo
marcoabreu commented on a change in pull request #10074: Add vocabulary and
embedding
URL: https://github.com/apache/incubator-mxnet/pull/10074#discussion_r173892544
##
File path: python/mxnet/text/embedding.py
##
@@ -0,0 +1,583 @@
+# Licensed to the Apache Software Founda
sxjscience commented on a change in pull request #1: fix average pooling
kernel size assignment error
URL: https://github.com/apache/incubator-mxnet/pull/1#discussion_r173892671
##
File path: src/operator/nn/pooling-inl.h
##
@@ -56,11 +56,11 @@ struct PoolingParam
rayjs opened a new issue #10077: Fine tuning network
URL: https://github.com/apache/incubator-mxnet/issues/10077
Hi,
I have a pretrained network and I am fine tuning it. I want to fix some of
the weights of the network and modify the result.
sxjscience commented on issue #1: [MXNET-80]Fix average pooling kernel size
assignment error
URL: https://github.com/apache/incubator-mxnet/pull/1#issuecomment-372407526
@CoinCheung I've created the JIRA issue for you. See
https://issues.apache.org/jira/browse/MXNET-80
---
sxjscience commented on a change in pull request #1: [MXNET-80] Fix average
pooling kernel size assignment error
URL: https://github.com/apache/incubator-mxnet/pull/1#discussion_r173895781
##
File path: tests/python/gpu/test_operator_gpu.py
##
@@ -904,86 +904,87 @@
sxjscience commented on issue #10073: NaN in loss when using gluon ELU block
URL:
https://github.com/apache/incubator-mxnet/issues/10073#issuecomment-372412560
Thanks for reporting this! It would be great if you could get an MWE.
sxjscience commented on issue #10059: Gluon Trainer causes OOM on multi GPU
instance for more than 5 GPUs
URL:
https://github.com/apache/incubator-mxnet/issues/10059#issuecomment-372414330
Seems to be related to https://discuss.gluon.ai/t/topic/5204
---
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-372415466
@marcoabreu I have rebased with the master branch. Could you help to verify
whether my changes in Jenk
yzhliu commented on issue #9526: The method reset() of DataIter does not work
URL:
https://github.com/apache/incubator-mxnet/issues/9526#issuecomment-372418238
The MNISTIter is a JNI call into c++ backend (which reuses the implement in
mxnet c++ core)
it is created here:
https://github
anirudh2290 commented on issue #8667: Compiler/linker error while trying to
build from source on Mac OSX Sierra 10.12.6.
URL:
https://github.com/apache/incubator-mxnet/issues/8667#issuecomment-372424675
@eric-haibin-lin please tag with the label "Installation"
anirudh2290 commented on issue #8673: Unexpected autograd behaviors (about
variables and scope)
URL:
https://github.com/apache/incubator-mxnet/issues/8673#issuecomment-372424484
@eric-haibin-lin please tag "autograd" and "needs triage" labels
--
marcoabreu commented on a change in pull request #9552: [REQUEST FOR REVIEW |
DO NOT MERGE] Model Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#discussion_r173913842
##
File path: Jenkinsfile
##
@@ -360,6 +394,24 @@ try {
}
marcoabreu commented on a change in pull request #9552: [REQUEST FOR REVIEW |
DO NOT MERGE] Model Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#discussion_r173913894
##
File path: Jenkinsfile
##
@@ -360,6 +394,24 @@ try {
}
marcoabreu commented on a change in pull request #9552: [REQUEST FOR REVIEW |
DO NOT MERGE] Model Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#discussion_r173914369
##
File path: ci/docker/runtime_functions.sh
##
@@ -307,6 +307,7 @
marcoabreu commented on a change in pull request #9552: [REQUEST FOR REVIEW |
DO NOT MERGE] Model Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#discussion_r173914529
##
File path: ci/docker/runtime_functions.sh
##
@@ -339,6 +341,32
marcoabreu commented on a change in pull request #9552: [REQUEST FOR REVIEW |
DO NOT MERGE] Model Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#discussion_r173914572
##
File path: ci/docker/runtime_functions.sh
##
@@ -339,6 +341,32
anirudh2290 commented on issue #8663: terminate called after throwing an
instance of 'std::out_of_range?
URL:
https://github.com/apache/incubator-mxnet/issues/8663#issuecomment-372434310
@eric-haibin-lin Please tag - "Exception Handling" "Symbol" "Question"
---
marcoabreu commented on a change in pull request #9552: [REQUEST FOR REVIEW |
DO NOT MERGE] Model Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#discussion_r173919392
##
File path: Jenkinsfile
##
@@ -204,6 +218,26 @@ try {
}
anirudh2290 commented on issue #8658: mxnet random seed does not work for
mx.init.Xavier on both CPU and GPU
URL:
https://github.com/apache/incubator-mxnet/issues/8658#issuecomment-372434652
@eric-haibin-lin Please tag as "Bug", "Call For Contribution"
anirudh2290 commented on issue #8653: error: identifier "__float128" is
undefined
URL:
https://github.com/apache/incubator-mxnet/issues/8653#issuecomment-372435322
@eric-haibin-lin Please tag with "Installation"
This is an
anirudh2290 commented on issue #8646: Bug in FullyConnected???
URL:
https://github.com/apache/incubator-mxnet/issues/8646#issuecomment-372435626
@eric-haibin-lin Please tag with "Bug" and "Need triage"
This is an automated me
rahul003 closed issue #9774: mx.io.ImageRecordIter does not respect dtype
argument / FP16 performance on Volta
URL: https://github.com/apache/incubator-mxnet/issues/9774
This is an automated message from the Apache Git Servi
sxjscience commented on issue #9363: Incorrect weight_decay implementation in
AdaGrad
URL:
https://github.com/apache/incubator-mxnet/issues/9363#issuecomment-372435894
Closed by the PR. Is the AdaDelta solved?
This is an aut
sxjscience closed issue #9363: Incorrect weight_decay implementation in AdaGrad
URL: https://github.com/apache/incubator-mxnet/issues/9363
This is an automated message from the Apache Git Service.
To respond to the message, p
anirudh2290 commented on issue #8635: How to make my own customized
transformers
URL:
https://github.com/apache/incubator-mxnet/issues/8635#issuecomment-372435860
@eric-haibin-lin This has been inactive for a while. Can this be closed ?
---
anirudh2290 commented on issue #8640: CustomOp with more than one auxiliary
state segfaults
URL:
https://github.com/apache/incubator-mxnet/issues/8640#issuecomment-372438753
@analog-cbarber are you able to reproduce this on the latest version ?
anirudh2290 commented on issue #8640: CustomOp with more than one auxiliary
state segfaults
URL:
https://github.com/apache/incubator-mxnet/issues/8640#issuecomment-372438753
@analog-cbarber are you able to reproduce this on the latest release ?
szhengac commented on issue #9881: Inconsistent weight decay logics in multiple
optimizers
URL:
https://github.com/apache/incubator-mxnet/issues/9881#issuecomment-372439433
Unless explicitly specified, for most of the optimizers as implemented in
packages such as TF and torch, wd is merge
reminisce commented on a change in pull request #9552: [REQUEST FOR REVIEW | DO
NOT MERGE] Model Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#discussion_r173926870
##
File path: ci/docker/runtime_functions.sh
##
@@ -307,6 +307,7 @@
reminisce commented on a change in pull request #9552: [REQUEST FOR REVIEW | DO
NOT MERGE] Model Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#discussion_r173927217
##
File path: ci/docker/runtime_functions.sh
##
@@ -339,6 +341,32 @
mbaijal commented on issue #10058: Adding back comments to index.md that cause
nightly test to fail
URL: https://github.com/apache/incubator-mxnet/pull/10058#issuecomment-372444085
@marcoabreu Can you please merge this since its causing a nightly test to
fail.
---
marcoabreu commented on a change in pull request #9552: [REQUEST FOR REVIEW |
DO NOT MERGE] Model Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#discussion_r173930937
##
File path: ci/docker/runtime_functions.sh
##
@@ -339,6 +341,32
marcoabreu commented on a change in pull request #9552: [REQUEST FOR REVIEW |
DO NOT MERGE] Model Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#discussion_r173931082
##
File path: ci/docker/runtime_functions.sh
##
@@ -307,6 +307,7 @
reminisce commented on a change in pull request #9552: [REQUEST FOR REVIEW | DO
NOT MERGE] Model Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#discussion_r173931539
##
File path: ci/docker/runtime_functions.sh
##
@@ -307,6 +307,7 @@
reminisce commented on a change in pull request #9552: [REQUEST FOR REVIEW | DO
NOT MERGE] Model Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#discussion_r173931539
##
File path: ci/docker/runtime_functions.sh
##
@@ -307,6 +307,7 @@
haojin2 opened a new pull request #10078: Support float16 in L2Normalization
operator
URL: https://github.com/apache/incubator-mxnet/pull/10078
## Description ##
Add support for any datatype for L2Normalization operator.
## Checklist ##
### Essentials ###
- [x] Passed code s
marcoabreu commented on a change in pull request #9552: [REQUEST FOR REVIEW |
DO NOT MERGE] Model Quantization with Calibration
URL: https://github.com/apache/incubator-mxnet/pull/9552#discussion_r173934712
##
File path: tests/ci_build/Dockerfile.build_cuda8_cudnn7
##
@@ -
cjolivier01 commented on a change in pull request #10078: Support float16 in
L2Normalization operator
URL: https://github.com/apache/incubator-mxnet/pull/10078#discussion_r173936443
##
File path: src/operator/l2_normalization-inl.h
##
@@ -294,7 +321,13 @@ class L2Normaliza
haojin2 commented on a change in pull request #10078: Support float16 in
L2Normalization operator
URL: https://github.com/apache/incubator-mxnet/pull/10078#discussion_r173938378
##
File path: src/operator/l2_normalization-inl.h
##
@@ -294,7 +321,13 @@ class L2Normalization
haojin2 commented on a change in pull request #10078: Support float16 in
L2Normalization operator
URL: https://github.com/apache/incubator-mxnet/pull/10078#discussion_r173938378
##
File path: src/operator/l2_normalization-inl.h
##
@@ -294,7 +321,13 @@ class L2Normalization
cjolivier01 commented on a change in pull request #10078: Support float16 in
L2Normalization operator
URL: https://github.com/apache/incubator-mxnet/pull/10078#discussion_r173941034
##
File path: src/operator/l2_normalization-inl.h
##
@@ -294,7 +321,13 @@ class L2Normaliza
cjolivier01 commented on a change in pull request #10078: Support float16 in
L2Normalization operator
URL: https://github.com/apache/incubator-mxnet/pull/10078#discussion_r173941304
##
File path: src/operator/l2_normalization.cc
##
@@ -26,13 +26,18 @@
namespace mxnet {
n
sxjscience opened a new pull request #10079: Fix CorpusReader
URL: https://github.com/apache/incubator-mxnet/pull/10079
## Description ##
Fix the corpus reader
@szha
This is an automated message from the Apache Git Serv
haojin2 commented on a change in pull request #10078: Support float16 in
L2Normalization operator
URL: https://github.com/apache/incubator-mxnet/pull/10078#discussion_r173943169
##
File path: src/operator/l2_normalization.cc
##
@@ -26,13 +26,18 @@
namespace mxnet {
names
nswamy closed issue #10077: Fine tuning network
URL: https://github.com/apache/incubator-mxnet/issues/10077
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
nswamy commented on issue #10077: Fine tuning network
URL:
https://github.com/apache/incubator-mxnet/issues/10077#issuecomment-372460019
We manage user-questions on https://discuss.mxnet.io/, please post your
question there.
I am closing this issue.
---
cjolivier01 commented on a change in pull request #10078: Support float16 in
L2Normalization operator
URL: https://github.com/apache/incubator-mxnet/pull/10078#discussion_r173944782
##
File path: src/operator/l2_normalization.cc
##
@@ -26,13 +26,18 @@
namespace mxnet {
n
KellenSunderland commented on a change in pull request #10075: Fix CMake build
issue with MKL.
URL: https://github.com/apache/incubator-mxnet/pull/10075#discussion_r173944839
##
File path: ci/docker/runtime_functions.sh
##
@@ -278,8 +278,6 @@ build_ubuntu_gpu_cmake() {
cjolivier01 commented on a change in pull request #10078: Support float16 in
L2Normalization operator
URL: https://github.com/apache/incubator-mxnet/pull/10078#discussion_r173945220
##
File path: src/operator/l2_normalization.cc
##
@@ -26,13 +26,18 @@
namespace mxnet {
n
1 - 100 of 193 matches
Mail list logo
