[submodule] Upgrade to oneDNN v1.6 #18801

TaoLv · 2020-07-28T00:20:08Z

Description

(Brief description on what this PR is about)

Checklist

Essentials

Please feel free to remove inapplicable items for your PR.

The PR title starts with [MXNET-$JIRA_ID], where $JIRA_ID refers to the relevant JIRA issue created (except PRs with tiny changes)
Changes are complete (i.e. I finished coding on this PR)
All changes have test coverage:
Unit tests are added for small changes to verify correctness (e.g. adding a new operator)
Nightly tests are added for complicated/long-running ones (e.g. changing distributed kvstore)
Build tests will be added for build configuration changes (e.g. adding a new build option with NCCL)
Code is well-documented:
For user-facing API changes, API doc string has been updated.
For new C++ functions in header files, their functionalities and arguments are documented.
For new examples, README.md is added to explain the what the example does, the source of the dataset, expected performance on test set and reference to the original paper if applicable
Check the API doc at https://mxnet-ci-doc.s3-accelerate.dualstack.amazonaws.com/PR-$PR_ID/$BUILD_ID/index.html
To the best of my knowledge, examples are either not affected by this change, or have been fixed to be compatible with this change

Changes

Feature1, tests, (and when applicable, API doc)
Feature2, tests, (and when applicable, API doc)

Comments

If this change is a backward incompatible change, why must this change be made.
Interesting edge cases to note here

mxnet-bot · 2020-07-28T00:20:10Z

Hey @TaoLv , Thanks for submitting the PR
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…to dnnl-v1.6

TaoLv · 2020-08-01T15:14:57Z

The new library doesn't compile with GCC 7.3.1 used in the CI of master branch. But it does compile in PR #18822 to v1.x branch where the CI uses GCC 8. @ChaiBapchya @leezu

ChaiBapchya · 2020-08-04T18:33:33Z

@leezu any guidance on unblocking the centos pipelines which fail coz of the GCC version
Curious why

master centos has older GCC than v1.x?
GCC version mismatch b/w centos vs unix pipelines? Is it intentional

leezu · 2020-08-04T20:35:14Z

1.x branch tests gcc 8 as "some newer supported gcc version", whereas master branch tests gcc 7 as "oldest supported gcc version". As long as we support gcc7, we should ensure that we can compile with gcc7

leezu · 2020-08-04T20:35:44Z

@mxnet-bot run ci [centos-cpu, centos-gpu]

mxnet-bot · 2020-08-04T20:35:49Z

Jenkins CI successfully triggered : [centos-cpu, centos-gpu]

pengzhao-intel

LGTM

pengzhao-intel · 2020-08-05T02:37:35Z

1.x branch tests gcc 8 as "some newer supported gcc version", whereas master branch tests gcc 7 as "oldest supported gcc version". As long as we support gcc7, we should ensure that we can compile with gcc7

@bgawrych could you try gcc7?

TaoLv · 2020-08-05T03:31:30Z

The error log is:

[2020-08-04T20:48:43.355Z] ../3rdparty/mkldnn/src/cpu/x64/jit_avx512_core_amx_1x1_convolution.cpp:111:13:   required from 'void dnnl::impl::cpu::x64::jit_avx512_core_amx_1x1_convolution_fwd_t<src_type, wei_type, dst_type>::execute_forward(const dnnl::impl::exec_ctx_t&) const [with dnnl_data_type_t src_type = (dnnl_data_type_t)5; dnnl_data_type_t wei_type = (dnnl_data_type_t)5; dnnl_data_type_t dst_type = (dnnl_data_type_t)6]'

[2020-08-04T20:48:43.355Z] ../3rdparty/mkldnn/src/cpu/x64/jit_avx512_core_amx_1x1_convolution.cpp:192:17:   required from here

[2020-08-04T20:48:43.355Z] ../3rdparty/mkldnn/src/cpu/x64/jit_avx512_core_amx_1x1_convolution.cpp:151:28: internal compiler error: in maybe_undo_parenthesized_ref, at cp/semantics.c:1705
[2020-08-04T20:48:43.355Z]                      size_t dst_offset = (is_1d) ? dst_d.blk_off(mb, oc, ow)
[2020-08-04T20:48:43.355Z]                             ^~~~~~~~~~
[2020-08-04T20:48:43.355Z] Please submit a full bug report,
[2020-08-04T20:48:43.355Z] with preprocessed source if appropriate.
[2020-08-04T20:48:43.355Z] See <http://bugzilla.redhat.com/bugzilla> for instructions.
[2020-08-04T20:48:43.355Z] Preprocessed source stored into /tmp/ccn2o87g.out file, please attach this to your bugreport.

It's a known issue in GCC 7: https://gcc.gnu.org/bugzilla/show_bug.cgi?id=83204 and was addressed in GCC 8.

bgawrych · 2020-08-05T07:35:12Z

@pengzhao-intel

1.x branch tests gcc 8 as "some newer supported gcc version", whereas master branch tests gcc 7 as "oldest supported gcc version". As long as we support gcc7, we should ensure that we can compile with gcc7

@bgawrych could you try gcc7?

On Ubuntu 18.04.4 LTS with gcc 7.5 MXNet is succesfully build.
CI is using: gcc (GCC) 7.3.1 20180303 (Red Hat 7.3.1-5))
I've tried to install gcc 7.3 on my ubuntu machine, but couldn't done that (there is no such version in apt repository). Built from sources gcc doesn't work with cmake (couldn't compile simple test program)

leezu · 2020-08-05T16:24:02Z

@bgawrych Ubuntu bumped GCC 7 version to 7.4 in April 2019. You can still install the older version from the archives to verify, as the older files are still present in the apt repository (see http://security.ubuntu.com/ubuntu/pool/main/g/gcc-defaults/). Just run apt or aptitude and install the older version.

Are you sure this is related to bug https://gcc.gnu.org/bugzilla/show_bug.cgi?id=83204? That bug is, according to the bug tracker, only fixed in GCC 8 but not in GCC 7. It's not listed as part of the fixes for 7.4 and 7.5 (https://gcc.gnu.org/bugzilla/buglist.cgi?bug_status=RESOLVED&list_id=276490&resolution=FIXED&target_milestone=7.4 and https://gcc.gnu.org/bugzilla/buglist.cgi?bug_status=RESOLVED&list_id=276490&resolution=FIXED&target_milestone=7.5)

Did your "On Ubuntu 18.04.4 LTS with gcc 7.5 MXNet is succesfully build." run with the master branch or the 1.x branch?

In any case, CentOS CI uses the GCC 7 from https://www.softwarecollections.org/en/scls/rhscl/devtoolset-7/ We can report a bug and ask them to update to GCC 7.5 instead of 7.3. I opened https://bugzilla.redhat.com/show_bug.cgi?id=1866477

bgawrych · 2020-08-06T10:11:15Z

@TaoLv @leezu
I've built GCC from sources:
GCC 7.3.0 shows following error in multiple files:

[55/782] Building CXX object 3rdparty/mkldnn/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_reorder.cpp.o
FAILED: 3rdparty/mkldnn/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_reorder.cpp.o 
/home/wihajster/Desktop/install_gcc/bin/g++  -DDMLC_LOG_STACK_TRACE_SIZE=0 -DDMLC_MODERN_THREAD_LOCAL=0 -DDMLC_STRICT_CXX11 -DDMLC_USE_CXX11 -DDMLC_USE_CXX14 -DDNNL_ENABLE_CONCURRENT_EXEC -DDNNL_ENABLE_MAX_CPU_ISA -DDNNL_X64=1 -DMSHADOW_IN_CXX11 -D_GLIBCXX_USE_CXX11_ABI=1 -D__STDC_CONSTANT_MACROS -D__STDC_LIMIT_MACROS -I../3rdparty/mkldnn/include -I3rdparty/mkldnn/include -I../3rdparty/mkldnn/src -D_GLIBCXX_ASSERTIONS  -Wall -Wno-sign-compare -O0 -g -std=c++11 -fopenmp -fvisibility-inlines-hidden  -Wall -Wno-unknown-pragmas -fvisibility=internal  -fPIC -Wformat -Wformat-security -fstack-protector-strong  -Wmissing-field-initializers  -Wno-strict-overflow  -g -fPIC   -std=gnu++1z -MD -MT 3rdparty/mkldnn/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_reorder.cpp.o -MF 3rdparty/mkldnn/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_reorder.cpp.o.d -o 3rdparty/mkldnn/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_reorder.cpp.o -c ../3rdparty/mkldnn/src/cpu/cpu_reorder.cpp
In file included from ../3rdparty/mkldnn/src/cpu/cpu_reorder.cpp:27:0:
../3rdparty/mkldnn/src/cpu/rnn/rnn_reorders.hpp: In lambda function:
../3rdparty/mkldnn/src/cpu/rnn/rnn_reorders.hpp:124:9: sorry, unimplemented: unexpected AST of kind omp_simd
         });
         ^

GCC 7.4.0 and 7.5.0 (from sources) shows:

[229/782] Building CXX object 3rdparty/mkldnn/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_amx_1x1_convolution.cpp.o
FAILED: 3rdparty/mkldnn/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_amx_1x1_convolution.cpp.o 
/home/wihajster/Desktop/install_gcc/bin/g++  -DDMLC_LOG_STACK_TRACE_SIZE=0 -DDMLC_MODERN_THREAD_LOCAL=0 -DDMLC_STRICT_CXX11 -DDMLC_USE_CXX11 -DDMLC_USE_CXX14 -DDNNL_ENABLE_CONCURRENT_EXEC -DDNNL_ENABLE_JIT_PROFILING=0 -DDNNL_ENABLE_MAX_CPU_ISA -DDNNL_X64=1 -DMSHADOW_IN_CXX11 -D_GLIBCXX_USE_CXX11_ABI=1 -D__STDC_CONSTANT_MACROS -D__STDC_LIMIT_MACROS -I../3rdparty/mkldnn/include -I3rdparty/mkldnn/include -I../3rdparty/mkldnn/src -D_GLIBCXX_ASSERTIONS  -Wall -Wno-sign-compare -O0 -g -std=c++11 -fopenmp -fvisibility-inlines-hidden  -Wall -Wno-unknown-pragmas -fvisibility=internal  -fPIC -Wformat -Wformat-security -fstack-protector-strong  -Wmissing-field-initializers  -Wno-strict-overflow  -g -fPIC   -std=gnu++1z -MD -MT 3rdparty/mkldnn/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_amx_1x1_convolution.cpp.o -MF 3rdparty/mkldnn/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_amx_1x1_convolution.cpp.o.d -o 3rdparty/mkldnn/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_amx_1x1_convolution.cpp.o -c ../3rdparty/mkldnn/src/cpu/x64/jit_avx512_core_amx_1x1_convolution.cpp
../3rdparty/mkldnn/src/cpu/x64/jit_avx512_core_amx_1x1_convolution.cpp: In instantiation of 'dnnl::impl::cpu::x64::jit_avx512_core_amx_1x1_convolution_fwd_t<src_type, wei_type, dst_type>::execute_forward(const dnnl::impl::exec_ctx_t&) const::<lambda(int, int)> [with dnnl_data_type_t src_type = (dnnl_data_type_t)5; dnnl_data_type_t wei_type = (dnnl_data_type_t)5; dnnl_data_type_t dst_type = (dnnl_data_type_t)6]':
../3rdparty/mkldnn/src/cpu/x64/jit_avx512_core_amx_1x1_convolution.cpp:159:29:   required from 'struct dnnl::impl::cpu::x64::jit_avx512_core_amx_1x1_convolution_fwd_t<src_type, wei_type, dst_type>::execute_forward(const dnnl::impl::exec_ctx_t&) const [with dnnl_data_type_t src_type = (dnnl_data_type_t)5; dnnl_data_type_t wei_type = (dnnl_data_type_t)5; dnnl_data_type_t dst_type = (dnnl_data_type_t)6]::<lambda(int, int)>'
../3rdparty/mkldnn/src/cpu/x64/jit_avx512_core_amx_1x1_convolution.cpp:111:13:   required from 'void dnnl::impl::cpu::x64::jit_avx512_core_amx_1x1_convolution_fwd_t<src_type, wei_type, dst_type>::execute_forward(const dnnl::impl::exec_ctx_t&) const [with dnnl_data_type_t src_type = (dnnl_data_type_t)5; dnnl_data_type_t wei_type = (dnnl_data_type_t)5; dnnl_data_type_t dst_type = (dnnl_data_type_t)6]'
../3rdparty/mkldnn/src/cpu/x64/jit_avx512_core_amx_1x1_convolution.cpp:192:17:   required from here
../3rdparty/mkldnn/src/cpu/x64/jit_avx512_core_amx_1x1_convolution.cpp:151:28: internal compiler error: in maybe_undo_parenthesized_ref, at cp/semantics.c:1739
                     size_t dst_offset = (is_1d) ? dst_d.blk_off(mb, oc, ow)
                            ^~~~~~~~~~

But as I've mentioned earlier - GCC 7.5.0 provided by ubuntu doesn't trigger this error.
GCC 8.1.0 built from sources also compile sucessfully.

I've checked also if standalone oneDNN is compiling with GCC 7.4.0 and it is.
This compiler error is probably triggered when oneDNN is compiled with c++14 standard. With c++11 everything works fine

TaoLv · 2020-08-06T14:40:25Z

MXNet is building with C++ 17 standard: https://github.com/apache/incubator-mxnet/blob/master/CMakeLists.txt#L10.

TaoLv · 2020-08-06T14:47:27Z

@vpirogov Could you please share more information about the compiler issue?

vpirogov · 2020-08-06T15:09:35Z

@TaoLv, I do not have anything to add to information in GCC Bugzilla.

leezu · 2020-08-06T16:54:13Z

But as I've mentioned earlier - GCC 7.5.0 provided by ubuntu doesn't trigger this error.

Thank you for confirming this @bgawrych. Actually Ubuntu backported the fix to their GCC 7 version:

gcc-7 (7.3.0-3ubuntu1) bionic; urgency=medium

  * Update to SVN 20180209 (r257526) from the gcc-7-branch.
    - S/390: Disable branch prediction for indirect branches.
    - Fix PR tree-optimization/84233 (closes: #889724),
      PR target/PR84295 (s390), PR target/84113 (PPC).
  * Fix PR c++/83204, taken from the trunk. Closes: #882855.

One option is to require GCC8 on non-Ubuntu machines. WDYT? For the CI, we just need to replace all occurrences of devtoolset-7 with devtoolset-8 in https://github.com/apache/incubator-mxnet/blob/95fa63f765f33b13c29c7b1c0822d2502eb16721/ci/docker/runtime_functions.sh and https://github.com/apache/incubator-mxnet/blob/a3eabf0d29eaeb03766dd52ef403650a4804f369/ci/docker/Dockerfile.build.centos7

But before that, @bgawrych @vpirogov could you please try adding the target_compile_features(dnnl PUBLIC cxx_std_11) line here:

https://github.com/apache/incubator-mxnet/blob/a3eabf0d29eaeb03766dd52ef403650a4804f369/CMakeLists.txt#L278-L279

Thereby we use CXX11 standard to compile DNNL, which should avoid the bug in gcc7.

…to dnnl-v1.6

TaoLv · 2020-08-07T05:13:50Z

Not sure why it has both -std=c++11 and -std=gnu++1z in the build line.

[2020-08-07T02:34:38.577Z] /usr/local/bin/ccache /opt/rh/devtoolset-7/root/usr/bin/g++  -DDMLC_LOG_STACK_TRACE_SIZE=0 -DDMLC_MODERN_THREAD_LOCAL=0 -DDMLC_STRICT_CXX11 -DDMLC_USE_CXX11 -DDMLC_USE_CXX14 -DDNNL_ENABLE_CONCURRENT_EXEC -DDNNL_ENABLE_JIT_PROFILING=0 -DDNNL_ENABLE_MAX_CPU_ISA -DDNNL_X64=1 -DMSHADOW_IN_CXX11 -DNDEBUG=1 -D__STDC_CONSTANT_MACROS -D__STDC_LIMIT_MACROS -I../3rdparty/mkldnn/include -I3rdparty/mkldnn/include -I../3rdparty/mkldnn/src -fPIC -mno-avx -fPIC -mno-avx -Wall -Wno-sign-compare -O3 -std=c++11 -fopenmp -fvisibility-inlines-hidden  -Wall -Wno-unknown-pragmas -fvisibility=internal  -fPIC -Wformat -Wformat-security -fstack-protector-strong  -Wmissing-field-initializers  -Wno-strict-overflow  -fPIC   -std=gnu++1z -MD -MT 3rdparty/mkldnn/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_amx_1x1_convolution.cpp.o -MF 3rdparty/mkldnn/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_amx_1x1_convolution.cpp.o.d -o 3rdparty/mkldnn/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_amx_1x1_convolution.cpp.o -c ../3rdparty/mkldnn/src/cpu/x64/jit_avx512_core_amx_1x1_convolution.cpp
[2020-08-07T02:34:38.577Z] ../3rdparty/mkldnn/src/cpu/x64/jit_avx512_core_amx_1x1_convolution.cpp: In instantiation of 'dnnl::impl::cpu::x64::jit_avx512_core_amx_1x1_convolution_fwd_t<src_type, wei_type, dst_type>::execute_forward(const dnnl::impl::exec_ctx_t&) const::<lambda(int, int)> [with dnnl_data_type_t src_type = (dnnl_data_type_t)5; dnnl_data_type_t wei_type = (dnnl_data_type_t)5; dnnl_data_type_t dst_type = (dnnl_data_type_t)6]':
[2020-08-07T02:34:38.577Z] ../3rdparty/mkldnn/src/cpu/x64/jit_avx512_core_amx_1x1_convolution.cpp:159:29:   required from 'struct dnnl::impl::cpu::x64::jit_avx512_core_amx_1x1_convolution_fwd_t<src_type, wei_type, dst_type>::execute_forward(const dnnl::impl::exec_ctx_t&) const [with dnnl_data_type_t src_type = (dnnl_data_type_t)5; dnnl_data_type_t wei_type = (dnnl_data_type_t)5; dnnl_data_type_t dst_type = (dnnl_data_type_t)6]::<lambda(int, int)>'
[2020-08-07T02:34:38.577Z] ../3rdparty/mkldnn/src/cpu/x64/jit_avx512_core_amx_1x1_convolution.cpp:111:13:   required from 'void dnnl::impl::cpu::x64::jit_avx512_core_amx_1x1_convolution_fwd_t<src_type, wei_type, dst_type>::execute_forward(const dnnl::impl::exec_ctx_t&) const [with dnnl_data_type_t src_type = (dnnl_data_type_t)5; dnnl_data_type_t wei_type = (dnnl_data_type_t)5; dnnl_data_type_t dst_type = (dnnl_data_type_t)6]'
[2020-08-07T02:34:38.577Z] ../3rdparty/mkldnn/src/cpu/x64/jit_avx512_core_amx_1x1_convolution.cpp:192:17:   required from here
[2020-08-07T02:34:38.577Z] ../3rdparty/mkldnn/src/cpu/x64/jit_avx512_core_amx_1x1_convolution.cpp:151:28: internal compiler error: in maybe_undo_parenthesized_ref, at cp/semantics.c:1705
[2020-08-07T02:34:38.577Z]                      size_t dst_offset = (is_1d) ? dst_d.blk_off(mb, oc, ow)
[2020-08-07T02:34:38.577Z]                             ^~~~~~~~~~
[2020-08-07T02:34:38.577Z] Please submit a full bug report,
[2020-08-07T02:34:38.577Z] with preprocessed source if appropriate.
[2020-08-07T02:34:38.577Z] See <http://bugzilla.redhat.com/bugzilla> for instructions.

leezu · 2020-08-07T15:34:21Z

One idea is to remove the global C++17 standard setting and instead set the C++17 only on the mxnet (and related, eg unittest) target. You may need to try a bit locally.

kpuatamazon · 2020-08-17T13:41:40Z

From the release notes of https://github.com/oneapi-src/oneDNN/releases/tag/v1.6.1 it looks like v1.6.1 is mostly bugfixes of v.1.6. Would you mind bumping to v1.6.1?

pengzhao-intel · 2020-08-24T15:45:27Z

From the release notes of https://github.com/oneapi-src/oneDNN/releases/tag/v1.6.1 it looks like v1.6.1 is mostly bugfixes of v.1.6. Would you mind bumping to v1.6.1?

Yes, we need to change to 1.6.1 @TaoLv

pengzhao-intel · 2020-08-31T04:14:52Z

@anko-intel please create a new PR to update oneDNN. I am closing this one.

upgrade to oneDNN v1.6 release branch

01c82eb

TaoLv force-pushed the dnnl-v1.6 branch from d406883 to 01c82eb Compare July 28, 2020 00:21

pengzhao-intel self-requested a review July 28, 2020 03:04

pengzhao-intel added the MKLDNN label Jul 28, 2020

TaoLv added 3 commits August 1, 2020 19:33

Merge branch 'master' of https://github.com/apache/incubator-mxnet in…

ab306aa

…to dnnl-v1.6

oneDNN v1.6

087e970

fix cpp test

fd380cc

pengzhao-intel approved these changes Aug 5, 2020

View reviewed changes

TaoLv added 2 commits August 7, 2020 10:19

Merge branch 'master' of https://github.com/apache/incubator-mxnet in…

ba082c4

…to dnnl-v1.6

build oneDNN with c++11

463d007

TaoLv requested review from leezu and szha as code owners August 7, 2020 02:23

pengzhao-intel closed this Aug 31, 2020

TaoLv mentioned this pull request Sep 15, 2020

[Submodule] Upgrade to oneDNN v1.6.3 #19153

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[submodule] Upgrade to oneDNN v1.6 #18801

[submodule] Upgrade to oneDNN v1.6 #18801

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TaoLv commented Jul 28, 2020

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