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Fix warnings for diagonal matrix format #622

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merged 1 commit into from
Aug 20, 2020

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fritzgoebel
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The diagonal format was missing using EnableLinOp<Diagonal>::convert_to and using EnableLinOp<Diagonal>::move_to which caused a ton of warnings when compiling with cuda enabled.

@fritzgoebel fritzgoebel added is:bug Something looks wrong. 1:ST:ready-for-review This PR is ready for review labels Aug 19, 2020
@fritzgoebel fritzgoebel self-assigned this Aug 19, 2020
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upsj commented Aug 19, 2020

We should maybe think about making the warnings CI job more strict by considering all warnings as errors (currently we only consider -Wpedantic errors)

@upsj upsj added 1:ST:ready-to-merge This PR is ready to merge. and removed 1:ST:ready-for-review This PR is ready for review labels Aug 19, 2020
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sonarcloud bot commented Aug 19, 2020

Kudos, SonarCloud Quality Gate passed!

Bug A 0 Bugs
Vulnerability A 0 Vulnerabilities (and Security Hotspot 0 Security Hotspots to review)
Code Smell A 0 Code Smells

No Coverage information No Coverage information
0.0% 0.0% Duplication

warning The version of Java (1.8.0_121) you have used to run this analysis is deprecated and we will stop accepting it from October 2020. Please update to at least Java 11.
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codecov bot commented Aug 19, 2020

Codecov Report

Merging #622 into develop will decrease coverage by 0.00%.
The diff coverage is n/a.

Impacted file tree graph

@@             Coverage Diff             @@
##           develop     #622      +/-   ##
===========================================
- Coverage    92.86%   92.86%   -0.01%     
===========================================
  Files          303      303              
  Lines        21105    21115      +10     
===========================================
+ Hits         19599    19608       +9     
- Misses        1506     1507       +1     
Impacted Files Coverage Δ
include/ginkgo/core/matrix/diagonal.hpp 100.00% <ø> (ø)
include/ginkgo/core/base/range_accessors.hpp 73.68% <0.00%> (-5.27%) ⬇️
core/base/extended_float.hpp 91.26% <0.00%> (-0.98%) ⬇️
core/test/matrix/diagonal.cpp 100.00% <0.00%> (ø)
omp/test/matrix/diagonal_kernels.cpp 100.00% <0.00%> (ø)
reference/test/matrix/dense_kernels.cpp 100.00% <0.00%> (ø)
omp/test/matrix/dense_kernels.cpp 99.66% <0.00%> (+<0.01%) ⬆️
reference/test/matrix/diagonal_kernels.cpp 83.72% <0.00%> (+0.19%) ⬆️
core/matrix/diagonal.cpp 65.97% <0.00%> (+1.03%) ⬆️

Continue to review full report at Codecov.

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@fritzgoebel fritzgoebel merged commit 6dd2eb4 into develop Aug 20, 2020
@fritzgoebel fritzgoebel deleted the fix_warnings_for_diag_format branch August 20, 2020 07:45
tcojean added a commit that referenced this pull request Aug 26, 2020
Release 1.3.0 of Ginkgo.

The Ginkgo team is proud to announce the new minor release of Ginkgo version
1.3.0. This release brings CUDA 11 support, changes the default C++ standard to
be C++14 instead of C++11, adds a new Diagonal matrix format and capacity for
diagonal extraction, significantly improves the CMake configuration output
format, adds the Ginkgo paper which got accepted into the Journal of Open Source
Software (JOSS), and fixes multiple issues.

Supported systems and requirements:
+ For all platforms, cmake 3.9+
+ Linux and MacOS
  + gcc: 5.3+, 6.3+, 7.3+, all versions after 8.1+
  + clang: 3.9+
  + Intel compiler: 2017+
  + Apple LLVM: 8.0+
  + CUDA module: CUDA 9.0+
  + HIP module: ROCm 2.8+
+ Windows
  + MinGW and Cygwin: gcc 5.3+, 6.3+, 7.3+, all versions after 8.1+
  + Microsoft Visual Studio: VS 2017 15.7+
  + CUDA module: CUDA 9.0+, Microsoft Visual Studio
  + OpenMP module: MinGW or Cygwin.


The current known issues can be found in the [known issues page](https://github.com/ginkgo-project/ginkgo/wiki/Known-Issues).


Additions:
+ Add paper for Journal of Open Source Software (JOSS). [#479](#479)
+ Add a DiagonalExtractable interface. [#563](#563)
+ Add a new diagonal Matrix Format. [#580](#580)
+ Add Cuda11 support. [#603](#603)
+ Add information output after CMake configuration. [#610](#610)
+ Add a new preconditioner export example. [#595](#595)
+ Add a new cuda-memcheck CI job. [#592](#592)

Changes:
+ Use unified memory in CUDA debug builds. [#621](#621)
+ Improve `BENCHMARKING.md` with more detailed info. [#619](#619)
+ Use C++14 standard instead of C++11. [#611](#611)
+ Update the Ampere sm information and CudaArchitectureSelector. [#588](#588)

Fixes:
+ Fix documentation warnings and errors. [#624](#624)
+ Fix warnings for diagonal matrix format. [#622](#622)
+ Fix criterion factory parameters in CUDA. [#586](#586)
+ Fix the norm-type in the examples. [#612](#612)
+ Fix the WAW race in OpenMP is_sorted_by_column_index. [#617](#617)
+ Fix the example's exec_map by creating the executor only if requested. [#602](#602)
+ Fix some CMake warnings. [#614](#614)
+ Fix Windows building documentation. [#601](#601)
+ Warn when CXX and CUDA host compiler do not match. [#607](#607)
+ Fix reduce_add, prefix_sum, and doc-build. [#593](#593)
+ Fix find_library(cublas) issue on machines installing multiple cuda. [#591](#591)
+ Fix allocator in sellp read. [#589](#589)
+ Fix the CAS with HIP and NVIDIA backends. [#585](#585)

Deletions:
+ Remove unused preconditioner parameter in LowerTrs. [#587](#587)

Related PR: #625
tcojean added a commit that referenced this pull request Aug 27, 2020
The Ginkgo team is proud to announce the new minor release of Ginkgo version
1.3.0. This release brings CUDA 11 support, changes the default C++ standard to
be C++14 instead of C++11, adds a new Diagonal matrix format and capacity for
diagonal extraction, significantly improves the CMake configuration output
format, adds the Ginkgo paper which got accepted into the Journal of Open Source
Software (JOSS), and fixes multiple issues.

Supported systems and requirements:
+ For all platforms, cmake 3.9+
+ Linux and MacOS
  + gcc: 5.3+, 6.3+, 7.3+, all versions after 8.1+
  + clang: 3.9+
  + Intel compiler: 2017+
  + Apple LLVM: 8.0+
  + CUDA module: CUDA 9.0+
  + HIP module: ROCm 2.8+
+ Windows
  + MinGW and Cygwin: gcc 5.3+, 6.3+, 7.3+, all versions after 8.1+
  + Microsoft Visual Studio: VS 2017 15.7+
  + CUDA module: CUDA 9.0+, Microsoft Visual Studio
  + OpenMP module: MinGW or Cygwin.


The current known issues can be found in the [known issues page](https://github.com/ginkgo-project/ginkgo/wiki/Known-Issues).


Additions:
+ Add paper for Journal of Open Source Software (JOSS). [#479](#479)
+ Add a DiagonalExtractable interface. [#563](#563)
+ Add a new diagonal Matrix Format. [#580](#580)
+ Add Cuda11 support. [#603](#603)
+ Add information output after CMake configuration. [#610](#610)
+ Add a new preconditioner export example. [#595](#595)
+ Add a new cuda-memcheck CI job. [#592](#592)

Changes:
+ Use unified memory in CUDA debug builds. [#621](#621)
+ Improve `BENCHMARKING.md` with more detailed info. [#619](#619)
+ Use C++14 standard instead of C++11. [#611](#611)
+ Update the Ampere sm information and CudaArchitectureSelector. [#588](#588)

Fixes:
+ Fix documentation warnings and errors. [#624](#624)
+ Fix warnings for diagonal matrix format. [#622](#622)
+ Fix criterion factory parameters in CUDA. [#586](#586)
+ Fix the norm-type in the examples. [#612](#612)
+ Fix the WAW race in OpenMP is_sorted_by_column_index. [#617](#617)
+ Fix the example's exec_map by creating the executor only if requested. [#602](#602)
+ Fix some CMake warnings. [#614](#614)
+ Fix Windows building documentation. [#601](#601)
+ Warn when CXX and CUDA host compiler do not match. [#607](#607)
+ Fix reduce_add, prefix_sum, and doc-build. [#593](#593)
+ Fix find_library(cublas) issue on machines installing multiple cuda. [#591](#591)
+ Fix allocator in sellp read. [#589](#589)
+ Fix the CAS with HIP and NVIDIA backends. [#585](#585)

Deletions:
+ Remove unused preconditioner parameter in LowerTrs. [#587](#587)

Related PR: #627
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