I already changed my vote to +1 I don't think this a big issue, just a pixel difference of 1 when loading an image.
On Thu, Jun 21, 2018 at 2:20 PM Marco de Abreu <marco.g.ab...@googlemail.com.invalid> wrote: > We had 868 successful runs and no failures for that test so far, Pedro. > > On Thu, Jun 21, 2018 at 11:17 PM Pedro Larroy < > pedro.larroy.li...@gmail.com> > wrote: > > > Observed just one failure in OSX in test_imdecode: > > > > > > ====================================================================== > > FAIL: test_imdecode (test_image.TestImage) > > ---------------------------------------------------------------------- > > Traceback (most recent call last): > > File > > > > > "/Users/pllarroy/devel/mxnet/mxnet_release/tests/python/unittest/test_image.py", > > line 94, in test_imdecode > > assert_almost_equal(image.asnumpy(), cv_image) > > File > > "/Users/pllarroy/devel/mxnet/mxnet_release/python/mxnet/test_utils.py", > > line 493, in assert_almost_equal > > raise AssertionError(msg) > > AssertionError: > > Items are not equal: > > Error 980.392157 exceeds tolerance rtol=0.000010, atol=0.000000. > Location > > of maximum error:(100, 457, 1), a=103.000000, b=102.000000 > > a: array([[[ 0, 10, 20], > > [ 0, 11, 19], > > [ 2, 12, 19],... > > b: array([[[ 0, 10, 20], > > [ 0, 11, 19], > > [ 2, 12, 19],... > > > > ---------------------------------------------------------------------- > > Ran 505 tests in 2018.430s > > > > > > Is this one known? > > > > The other unit tests passed. > > > > On Thu, Jun 21, 2018 at 2:09 PM Haibin Lin <haibin.lin....@gmail.com> > > wrote: > > > > > +1 > > > > > > Built from source with CUDA on Ubuntu. > > > > > > Ran example/gluon/word_language_model/train.py > > > > > > Best, > > > Haibin > > > > > > > > > On Thu, Jun 21, 2018 at 11:08 AM, Anirudh <anirudh2...@gmail.com> > wrote: > > > > > > > Hi Pedro, > > > > > > > > I think you raised this issue in 1.2.0 release here: > > > > https://lists.apache.org/thread.html/ddc088a21aac179144350ea97353a7 > > > > ea885b2765ccb98db08a03ba2d@%3Cdev.mxnet.apache.org%3E > > > > . > > > > I actually forgot about this issue during this release. Having said > > > that, I > > > > think since this works with make and the customers using cmake with > > > > USE_OPENMP=OFF should be considerably small we should not block the > > > release > > > > for this. > > > > The main reason we are doing this release is for this issue > > > > <https://github.com/apache/incubator-mxnet/issues/11091> . Now > pulling > > > > this > > > > change for the cmake fix would be also mean we need to pull 8 more > > > commits > > > > from dmlc-core and its considerable risk to introduce for the patch > > > > release. > > > > This would also mean cutting another rc. I think in the interest of > our > > > > customers who are eagerly waiting for the patch release to fix the > main > > > > issue, we should move ahead here. > > > > I missed reviewing all the known issue of 1.2.0 and add it to 1.2.1 > > > release > > > > notes. I will do that now. > > > > > > > > Anirudh > > > > > > > > > > > > > > > > On Thu, Jun 21, 2018 at 10:42 AM, Pedro Larroy < > > > > pedro.larroy.li...@gmail.com > > > > > wrote: > > > > > > > > > I think I have fixed this before, I will check if the patch didn't > > make > > > > it > > > > > to the branch. > > > > > > > > > > On Thu, Jun 21, 2018 at 10:24 AM Pedro Larroy < > > > > > pedro.larroy.li...@gmail.com> > > > > > wrote: > > > > > > > > > > > -1 I can't compile: > > > > > > > > > > > > 3rdparty/dmlc-core/libdmlc.a(io.cc.o): In function > > > > > > `std::thread::thread<dmlc::ThreadedIter<dmlc::io:: > > > > > InputSplitBase::Chunk>::Init(std::function<bool > > > > > > (dmlc::io::InputSplitBase::Chunk**)>, std::function<void > > > > > > ()>)::{lambda()#1}&>(dmlc::ThreadedIter<dmlc::io:: > > > > > InputSplitBase::Chunk>::Init(std::function<bool > > > > > > (dmlc::io::InputSplitBase::Chunk**)>, std::function<void > > > > > > ()>)::{lambda()#1}&)': > > > > > > /usr/include/c++/5/thread:137: undefined reference to > > > `pthread_create' > > > > > > collect2: error: ld returned 1 exit status > > > > > > ninja: build stopped: subcommand failed. > > > > > > > > > > > > > > > > > > No LSB modules are available. > > > > > > Distributor ID: Ubuntu > > > > > > Description: Ubuntu 16.04.4 LTS > > > > > > Release: 16.04 > > > > > > Codename: xenial > > > > > > > > > > > > > > > > > > My build script: > > > > > > > > > > > > > > > > > > #!/bin/bash > > > > > > set -e > > > > > > set -x > > > > > > > > > > > > renice -n 19 -p $$ > > > > > > > > > > > > mkdir -p build && cd build > > > > > > cmake -DUSE_CPP_PACKAGE=ON -DUSE_CUDA=OFF -DUSE_OPENMP=OFF > > > > > -DUSE_OPENCV=ON > > > > > > -DCMAKE_BUILD_TYPE=Debug -GNinja .. > > > > > > ninja -v > > > > > > > > > > > > cd .. > > > > > > if [ ! -d mxnet_py3 ]; then > > > > > > virtualenv -p `which python3` mxnet_py3 > > > > > > fi > > > > > > source mxnet_py3/bin/activate > > > > > > cd python > > > > > > pip install -e . > > > > > > cd .. > > > > > > pip install opencv-python > > > > > > pip install ipython > > > > > > pip install matplotlib > > > > > > > > > > > > On Wed, Jun 20, 2018 at 6:33 PM Indhu <indhubhara...@gmail.com> > > > wrote: > > > > > > > > > > > >> +1 > > > > > >> > > > > > >> On Mon, Jun 18, 2018, 6:52 PM Anirudh <anirudh2...@gmail.com> > > > wrote: > > > > > >> > > > > > >> > Hi, > > > > > >> > > > > > > >> > This is the vote to release Apache MXNet (incubating) version > > > 1.2.1. > > > > > >> Voting > > > > > >> > will start now and close Thursday June 21st 7:00 PM PDT. > > > > > >> > > > > > > >> > Link to release candidate 1.2.1.rc0: > > > > > >> > > > > > > >> > > > https://github.com/apache/incubator-mxnet/releases/tag/1.2.1.rc0 > > > > > >> > > > > > > >> > View this page for installation instructions: > > > > > >> > > > > > > >> > https://mxnet.incubator.apache.org/install/index.html > > > > > >> > > > > > > >> > (Note: The README.md points to the 1.2.1 tag and does not work > > at > > > > the > > > > > >> > moment). > > > > > >> > > > > > > >> > Please remember to test first before voting accordingly. > > > > > >> > > > > > > >> > +1 = approve > > > > > >> > +0 = no opinion > > > > > >> > -1 = disapprove (provide reason) > > > > > >> > > > > > > >> > Anirudh > > > > > >> > > > > > > >> > > > > > > > > > > > > > > > > > > > > >
