jeremiedb commented on issue #9803: R Metrics
URL: https://github.com/apache/incubator-mxnet/pull/9803#issuecomment-366425707
Benchmark performed on AWS K80.
Going to NDArray has no significant speed modification on MNIST:
Original:
```
>
marcoabreu commented on issue #9791: CI test randomness 3
URL: https://github.com/apache/incubator-mxnet/pull/9791#issuecomment-366429224
Approved for merge. Please resolve the test failure if possible.
This is an automated
marcoabreu commented on issue #9815: Equivalent of
per_process_gpu_memory_fraction(TF) in MXNet
URL:
https://github.com/apache/incubator-mxnet/issues/9815#issuecomment-366429325
@KellenSunderland @larroy
This is an
marcoabreu commented on a change in pull request #9810: remove MKL_EXPERIMENTAL
and update make files for MKL-DNN
URL: https://github.com/apache/incubator-mxnet/pull/9810#discussion_r168917395
##
File path: MKL_README.md
##
@@ -17,46 +17,3 @@ Installing and enabling the
stonedl3 commented on issue #9766: DeepLearning on Imagenet with mxnet issues
translating .lst to .rec files
URL:
https://github.com/apache/incubator-mxnet/issues/9766#issuecomment-366445508
Here is the script used to train alexnet
# USAGE
# python train_alexnet.py --checkpoints
tholcman opened a new issue #9817: Example SSD demo doesn't work
URL: https://github.com/apache/incubator-mxnet/issues/9817
I have trained network with command
```
$ python train.py --train-path data/train.rec --val-path data/val.rec
--class-names 1,2 --num-class 2 --end-epoch
cjolivier01 commented on a change in pull request #9801: Set worker thread to
use OMP when necessary (and not to when not nece?
URL: https://github.com/apache/incubator-mxnet/pull/9801#discussion_r168932848
##
File path: src/engine/threaded_engine_perdevice.cc
##
@@
chsin commented on issue #9809: register optimizers only once in CPP-Package
URL: https://github.com/apache/incubator-mxnet/pull/9809#issuecomment-366472582
@marcoabreu, I don't understand how the Python test would fail when I never
made an edit to the Python package? Could you explain?
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 44ead24 Add Support for int64 (#9738)
piiswrong commented on a change in pull request #9801: Set worker thread to use
OMP when necessary (and not to when not nece?
URL: https://github.com/apache/incubator-mxnet/pull/9801#discussion_r168931945
##
File path: src/engine/threaded_engine_perdevice.cc
##
@@ -264,9
ArmageddonKnight commented on issue #9811: How to reinitialize the begin_state
of an RNN
URL:
https://github.com/apache/incubator-mxnet/issues/9811#issuecomment-366463858
@eric-haibin-lin Thanks. This is what I have been looking for.
ArmageddonKnight closed issue #9811: How to reinitialize the begin_state of an
RNN
URL: https://github.com/apache/incubator-mxnet/issues/9811
This is an automated message from the Apache Git Service.
To respond to the
szha commented on a change in pull request #9492: fix print_summary bug and add
groups of convolution
URL: https://github.com/apache/incubator-mxnet/pull/9492#discussion_r168931667
##
File path: python/mxnet/visualization.py
##
@@ -134,20 +134,26 @@ def
piiswrong closed pull request #9738: Add Support for int64
URL: https://github.com/apache/incubator-mxnet/pull/9738
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
piiswrong commented on a change in pull request #9807: temporary solution for
instancenorm, will refactor using backend
URL: https://github.com/apache/incubator-mxnet/pull/9807#discussion_r168931896
##
File path: python/mxnet/gluon/nn/basic_layers.py
##
@@ -463,11 +468,12
chsin commented on issue #9809: register optimizers only once in CPP-Package
URL: https://github.com/apache/incubator-mxnet/pull/9809#issuecomment-366472791
@marcoabreu, I never touched the Python and Gluon package, why do I get this:
```
szha opened a new pull request #9818: add MUSE embeddings
URL: https://github.com/apache/incubator-mxnet/pull/9818
## Description ##
Add Multilingual Unsupervised and Supervised Embeddings (MUSE) embeddings.
## Checklist ##
### Essentials ###
- [x] Passed code style checking
szha commented on a change in pull request #9747: Add contrib.rand_log_uniform
URL: https://github.com/apache/incubator-mxnet/pull/9747#discussion_r168930990
##
File path: python/mxnet/ndarray/contrib.py
##
@@ -18,9 +18,81 @@
# coding: utf-8
# pylint:
piiswrong commented on a change in pull request #9790: make array.reshape
compatible with numpy
URL: https://github.com/apache/incubator-mxnet/pull/9790#discussion_r168931845
##
File path: python/mxnet/ndarray/ndarray.py
##
@@ -968,6 +973,17 @@ def reshape(self, shape):
cjolivier01 commented on issue #9801: Set worker thread to use OMP when
necessary (and not to when not nece?
URL: https://github.com/apache/incubator-mxnet/pull/9801#issuecomment-366483979
don?t merge this yet. i want to make a unit test.
moveforever opened a new issue #9819: Sometime MXDataIter load data quickly,
sometime it load data slowly?
URL: https://github.com/apache/incubator-mxnet/issues/9819
I have implenmented a DataIter of C++ supporting multi data input. Sometime,
usage of cpu loading data is low, that is less
dwSun commented on issue #9614: MobileNetV2
URL: https://github.com/apache/incubator-mxnet/pull/9614#issuecomment-366483368
Add relu in first conv2d as requested.
This is an automated message from the Apache Git Service.
To
chinakook commented on a change in pull request #9492: fix print_summary bug
and add groups of convolution
URL: https://github.com/apache/incubator-mxnet/pull/9492#discussion_r168936777
##
File path: python/mxnet/visualization.py
##
@@ -134,20 +134,26 @@ def
ascust commented on issue #9688: Adapt operators from PyTorch, will keep adding
URL: https://github.com/apache/incubator-mxnet/pull/9688#issuecomment-366481984
I think it would be good that we can pass a reference symbol as a target
shape. For example like mx.sym.Crop, where you can crop
24 matches
Mail list logo