From b788db4851fd4418a10138d3f9b29cc66a1df112 Mon Sep 17 00:00:00 2001 From: Hans Johnson Date: Wed, 24 Sep 2025 15:32:36 -0500 Subject: [PATCH 1/4] STYLE: Scripts with shebang should be executable scripts/eigen_gen_split_test_help.cmake: has a shebang but is not marked executable! scripts/eigen_gen_docs: has a shebang but is not marked executable! bench/basicbench.cxxlist: has a shebang but is not marked executable! ci/scripts/vars.linux.sh: has a shebang but is not marked executable! ci/scripts/test.linux.after_script.sh: has a shebang but is not marked executable! ci/scripts/build.linux.script.sh: has a shebang but is not marked executable! ci/scripts/common.linux.before_script.sh: has a shebang but is not marked executable! ci/scripts/test.linux.script.sh: has a shebang but is not marked executable! bench/btl/data/mk_gnuplot_script.sh: has a shebang but is not marked executable! bench/btl/data/mk_mean_script.sh: has a shebang but is not marked executable! --- bench/basicbench.cxxlist | 0 bench/btl/data/mk_gnuplot_script.sh | 0 bench/btl/data/mk_mean_script.sh | 0 ci/scripts/build.linux.script.sh | 0 ci/scripts/common.linux.before_script.sh | 0 ci/scripts/test.linux.after_script.sh | 0 ci/scripts/test.linux.script.sh | 0 ci/scripts/vars.linux.sh | 0 scripts/eigen_gen_docs | 0 scripts/eigen_gen_split_test_help.cmake | 0 10 files changed, 0 insertions(+), 0 deletions(-) mode change 100644 => 100755 bench/basicbench.cxxlist mode change 100644 => 100755 bench/btl/data/mk_gnuplot_script.sh mode change 100644 => 100755 bench/btl/data/mk_mean_script.sh mode change 100644 => 100755 ci/scripts/build.linux.script.sh mode change 100644 => 100755 ci/scripts/common.linux.before_script.sh mode change 100644 => 100755 ci/scripts/test.linux.after_script.sh mode change 100644 => 100755 ci/scripts/test.linux.script.sh mode change 100644 => 100755 ci/scripts/vars.linux.sh mode change 100644 => 100755 scripts/eigen_gen_docs mode change 100644 => 100755 scripts/eigen_gen_split_test_help.cmake diff --git a/bench/basicbench.cxxlist b/bench/basicbench.cxxlist old mode 100644 new mode 100755 diff --git a/bench/btl/data/mk_gnuplot_script.sh b/bench/btl/data/mk_gnuplot_script.sh old mode 100644 new mode 100755 diff --git a/bench/btl/data/mk_mean_script.sh b/bench/btl/data/mk_mean_script.sh old mode 100644 new mode 100755 diff --git a/ci/scripts/build.linux.script.sh b/ci/scripts/build.linux.script.sh old mode 100644 new mode 100755 diff --git a/ci/scripts/common.linux.before_script.sh b/ci/scripts/common.linux.before_script.sh old mode 100644 new mode 100755 diff --git a/ci/scripts/test.linux.after_script.sh b/ci/scripts/test.linux.after_script.sh old mode 100644 new mode 100755 diff --git a/ci/scripts/test.linux.script.sh b/ci/scripts/test.linux.script.sh old mode 100644 new mode 100755 diff --git a/ci/scripts/vars.linux.sh b/ci/scripts/vars.linux.sh old mode 100644 new mode 100755 diff --git a/scripts/eigen_gen_docs b/scripts/eigen_gen_docs old mode 100644 new mode 100755 diff --git a/scripts/eigen_gen_split_test_help.cmake b/scripts/eigen_gen_split_test_help.cmake old mode 100644 new mode 100755 -- GitLab From eae836639842020def74e61f1ad4d926fced0922 Mon Sep 17 00:00:00 2001 From: Hans Johnson Date: Wed, 24 Sep 2025 16:01:06 -0500 Subject: [PATCH 2/4] STYLE: Fix end of file inconsistency Makes sure files end in a newline and only a newline. --- CHANGELOG.md | 2 +- COPYING.APACHE | 2 +- COPYING.README | 2 +- Eigen/src/Core/arch/AVX512/MathFunctionsFP16.h | 2 +- bench/README.txt | 3 --- bench/btl/CMakeLists.txt | 2 -- bench/btl/README | 3 --- bench/btl/cmake/FindBLAZE.cmake | 1 - bench/btl/cmake/FindMTL4.cmake | 1 - bench/btl/cmake/FindTvmet.cmake | 1 - bench/btl/data/gnuplot_common_settings.hh | 1 - bench/btl/data/go_mean | 2 +- bench/btl/data/mk_gnuplot_script.sh | 4 ---- bench/btl/data/mk_mean_script.sh | 6 ------ bench/perf_monitoring/resources/s2.js | 2 +- bench/spbench/CMakeLists.txt | 1 - bench/spbench/spbench.dtd | 2 +- bench/tensors/eigen_sycl_bench_contract.sh | 1 - blas/README.txt | 1 - blas/testing/CMakeLists.txt | 1 - blas/testing/cblat2.f | 1 - blas/testing/cblat3.f | 1 - blas/testing/dblat2.f | 1 - blas/testing/dblat3.f | 1 - blas/testing/sblat2.f | 1 - blas/testing/sblat3.f | 1 - blas/testing/zblat2.f | 1 - blas/testing/zblat3.f | 1 - ci/scripts/vars.linux.sh | 1 - cmake/EigenConfigureTesting.cmake | 2 -- cmake/EigenUninstall.cmake | 3 --- cmake/FindFFTW.cmake | 1 - cmake/FindSPQR.cmake | 2 +- cmake/RegexUtils.cmake | 2 +- demos/opengl/CMakeLists.txt | 2 +- demos/opengl/README | 1 - doc/CustomizingEigen_NullaryExpr.dox | 1 - doc/InplaceDecomposition.dox | 2 +- doc/LeastSquares.dox | 2 +- doc/MatrixfreeSolverExample.dox | 2 +- doc/NewExpressionType.dox | 1 - doc/QuickStartGuide.dox | 1 - doc/snippets/MatrixBase_cwiseArg.cpp | 2 +- lapack/svd.inc | 2 +- scripts/buildtests.in | 1 - scripts/ci_cmake_msvc.ps1 | 1 - scripts/eigen_gen_docs | 1 - scripts/eigen_gen_split_test_help.cmake | 2 +- scripts/msvc_setup.ps1 | 2 +- test/SafeScalar.h | 2 +- test/dense_storage.cpp | 2 +- .../Eigen/src/LevenbergMarquardt/CopyrightMINPACK.txt | 1 - unsupported/README.txt | 1 - unsupported/doc/Overview.dox | 1 - 54 files changed, 19 insertions(+), 70 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index e9223ec4f..954b5cf86 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -2016,4 +2016,4 @@ Changes since 2.0.0: ## [2.0.0] -Released February 2, 2009 \ No newline at end of file +Released February 2, 2009 diff --git a/COPYING.APACHE b/COPYING.APACHE index 61e948d2a..9e0484576 100644 --- a/COPYING.APACHE +++ b/COPYING.APACHE @@ -200,4 +200,4 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. -*/ \ No newline at end of file +*/ diff --git a/COPYING.README b/COPYING.README index 11af93ca7..6e732d1a7 100644 --- a/COPYING.README +++ b/COPYING.README @@ -3,4 +3,4 @@ Eigen is primarily MPL2 licensed. See COPYING.MPL2 and these links: http://www.mozilla.org/MPL/2.0/FAQ.html Some files contain third-party code under BSD or other MPL2-compatible licenses, -whence the other COPYING.* files here. \ No newline at end of file +whence the other COPYING.* files here. diff --git a/Eigen/src/Core/arch/AVX512/MathFunctionsFP16.h b/Eigen/src/Core/arch/AVX512/MathFunctionsFP16.h index 240ade43e..26050b99d 100644 --- a/Eigen/src/Core/arch/AVX512/MathFunctionsFP16.h +++ b/Eigen/src/Core/arch/AVX512/MathFunctionsFP16.h @@ -72,4 +72,4 @@ EIGEN_STRONG_INLINE Packet32h pldexp(const Packet32h& a, const Packet } // end namespace internal } // end namespace Eigen -#endif // EIGEN_MATH_FUNCTIONS_FP16_AVX512_H \ No newline at end of file +#endif // EIGEN_MATH_FUNCTIONS_FP16_AVX512_H diff --git a/bench/README.txt b/bench/README.txt index 39831ae8a..880b0e11a 100644 --- a/bench/README.txt +++ b/bench/README.txt @@ -50,6 +50,3 @@ $ ./bench_multi_compilers.sh ompbench.cxxlist ompbenchmark.cpp double, 128x128: 0.0547509s 0.0435519s => x1.25714 (2) double, 512x512: 0.829436s 0.424438s => x1.9542 (2) double, 1024x1024: 14.5243s 10.7735s => x1.34815 (2) - - - diff --git a/bench/btl/CMakeLists.txt b/bench/btl/CMakeLists.txt index 42094e867..bb9c67071 100644 --- a/bench/btl/CMakeLists.txt +++ b/bench/btl/CMakeLists.txt @@ -103,5 +103,3 @@ add_subdirectory(libs/STL) add_subdirectory(libs/blaze) add_subdirectory(data) - - diff --git a/bench/btl/README b/bench/btl/README index ebed88960..6cbfecfd2 100644 --- a/bench/btl/README +++ b/bench/btl/README @@ -149,6 +149,3 @@ Principles : the code modularity is achieved by defining two concepts : in generic/bench.hh . - - - diff --git a/bench/btl/cmake/FindBLAZE.cmake b/bench/btl/cmake/FindBLAZE.cmake index 18a878ff9..3b5392a18 100644 --- a/bench/btl/cmake/FindBLAZE.cmake +++ b/bench/btl/cmake/FindBLAZE.cmake @@ -28,4 +28,3 @@ find_package_handle_standard_args(BLAZE DEFAULT_MSG BLAZE_INCLUDE_DIR) mark_as_advanced(BLAZE_INCLUDE_DIR) endif() - diff --git a/bench/btl/cmake/FindMTL4.cmake b/bench/btl/cmake/FindMTL4.cmake index 1bafc93a6..1919d6f1f 100644 --- a/bench/btl/cmake/FindMTL4.cmake +++ b/bench/btl/cmake/FindMTL4.cmake @@ -28,4 +28,3 @@ find_package_handle_standard_args(MTL4 DEFAULT_MSG MTL4_INCLUDE_DIR) mark_as_advanced(MTL4_INCLUDE_DIR) endif() - diff --git a/bench/btl/cmake/FindTvmet.cmake b/bench/btl/cmake/FindTvmet.cmake index 8ccae271b..936b18527 100644 --- a/bench/btl/cmake/FindTvmet.cmake +++ b/bench/btl/cmake/FindTvmet.cmake @@ -29,4 +29,3 @@ find_package_handle_standard_args(Tvmet DEFAULT_MSG TVMET_INCLUDE_DIR) mark_as_advanced(TVMET_INCLUDE_DIR) endif() - diff --git a/bench/btl/data/gnuplot_common_settings.hh b/bench/btl/data/gnuplot_common_settings.hh index 6f677df60..79cc27d1f 100644 --- a/bench/btl/data/gnuplot_common_settings.hh +++ b/bench/btl/data/gnuplot_common_settings.hh @@ -84,4 +84,3 @@ set rmargin -1 set tmargin -1 set locale "C" set xrange [4:1024] - diff --git a/bench/btl/data/go_mean b/bench/btl/data/go_mean index d01426909..24af0db31 100755 --- a/bench/btl/data/go_mean +++ b/bench/btl/data/go_mean @@ -55,4 +55,4 @@ fi ## compile the web page ## -#echo `cat footer.html` >> $webpagefilename \ No newline at end of file +#echo `cat footer.html` >> $webpagefilename diff --git a/bench/btl/data/mk_gnuplot_script.sh b/bench/btl/data/mk_gnuplot_script.sh index 2ca7b5cb5..caf3e48f6 100755 --- a/bench/btl/data/mk_gnuplot_script.sh +++ b/bench/btl/data/mk_gnuplot_script.sh @@ -62,7 +62,3 @@ echo "'"$LAST"'" title "'"$TITLE"'" >> $WHAT.gnuplot gnuplot -persist < $WHAT.gnuplot rm $WHAT.gnuplot - - - - diff --git a/bench/btl/data/mk_mean_script.sh b/bench/btl/data/mk_mean_script.sh index b10df0240..4d087d77a 100755 --- a/bench/btl/data/mk_mean_script.sh +++ b/bench/btl/data/mk_mean_script.sh @@ -44,9 +44,3 @@ if [ -n "$DATA_FILE" ]; 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0===b)return a.utils.defaultColor();if(a.utils.isArray(b)){var c=d3.scale.ordinal().range(b);return function(a,b){var d=void 0===b?a:b;return a.color||c(d)}}return b},a.utils.defaultColor=function(){return a.utils.getColor(d3.scale.category20().range())},a.utils.customTheme=function(b,c,d){c=c||function(a){return a.key},d=d||d3.scale.category20().range();var e=d.length;return function(f,g){var h=c(f);return a.utils.isFunction(b[h])?b[h]():void 0!==b[h]?b[h]:(e||(e=d.length),e-=1,d[e])}},a.utils.pjax=function(b,c){var d=function(d){d3.html(d,function(d){var e=d3.select(c).node();e.parentNode.replaceChild(d3.select(d).select(c).node(),e),a.utils.pjax(b,c)})};d3.selectAll(b).on("click",function(){history.pushState(this.href,this.textContent,this.href),d(this.href),d3.event.preventDefault()}),d3.select(window).on("popstate",function(){d3.event.state&&d(d3.event.state)})},a.utils.calcApproxTextWidth=function(b){if(a.utils.isFunction(b.style)&&a.utils.isFunction(b.text)){var 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F=[];q.selectAll("g.nv-axisMaxMin").each(function(a,b){try{b?F.push(d(a)-this.getBoundingClientRect().width-4):F.push(d(a)+this.getBoundingClientRect().width+4)}catch(c){b?F.push(d(a)-4):F.push(d(a)+4)}}),u.selectAll("g").each(function(a,b){(d(a)F[1])&&(a>1e-10||-1e-10>a?d3.select(this).remove():d3.select(this).select("text").remove())})}u.selectAll(".tick").filter(function(a){return!parseFloat(Math.round(1e5*a)/1e6)&&void 0!==a}).classed("zero",!0),s=d.copy()}),t.renderEnd("axis immediate"),b}var c=d3.svg.axis(),d=d3.scale.linear(),e={top:0,right:0,bottom:0,left:0},f=75,g=60,h=null,i=!0,j=0,k=!0,l=!1,m=!1,n=null,o=0,p=void 0,q=250,r=d3.dispatch("renderEnd");c.scale(d).orient("bottom").tickFormat(function(a){return a});var s,t=a.utils.renderWatch(r,q);return b.axis=c,b.dispatch=r,b.options=a.utils.optionsFunc.bind(b),b._options=Object.create({},{axisLabelDistance:{get:function(){return o},set:function(a){o=a}},staggerLabels:{get:function(){return 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c.dispatch=r,c.content=b,c.brush=h,c.xAxis=f,c.yAxis=g,c.options=a.utils.optionsFunc.bind(c),c._options=Object.create({},{width:{get:function(){return k},set:function(a){k=a}},height:{get:function(){return l},set:function(a){l=a}},showXAxis:{get:function(){return m},set:function(a){m=a}},showYAxis:{get:function(){return n},set:function(a){n=a}},brushExtent:{get:function(){return p},set:function(a){p=a}},margin:{get:function(){return i},set:function(a){i.top=void 0!==a.top?a.top:i.top,i.right=void 0!==a.right?a.right:i.right,i.bottom=void 0!==a.bottom?a.bottom:i.bottom,i.left=void 0!==a.left?a.left:i.left}},duration:{get:function(){return q},set:function(a){q=a,s.reset(q),b.duration(q),f.duration(q),g.duration(q)}},color:{get:function(){return j},set:function(c){j=a.utils.getColor(c),b.color(j)}},interpolate:{get:function(){return b.interpolate()},set:function(a){b.interpolate(a)}},xTickFormat:{get:function(){return f.tickFormat()},set:function(a){f.tickFormat(a)}},yTickFormat:{get:function(){return g.tickFormat()},set:function(a){g.tickFormat(a)}},x:{get:function(){return b.x()},set:function(a){b.x(a)}},y:{get:function(){return b.y()},set:function(a){b.y(a)}},rightAlignYAxis:{get:function(){return o},set:function(a){o=a,g.orient(o?"right":"left")}}}),a.utils.inheritOptions(c,b),a.utils.initOptions(c),c},a.models.forceDirectedGraph=function(){"use strict";function b(g){return u.reset(),g.each(function(g){f=d3.select(this),a.utils.initSVG(f);var j=a.utils.availableWidth(d,f,c),u=a.utils.availableHeight(e,f,c);if(f.attr("width",j).attr("height",u),!(g&&g.links&&g.nodes))return a.utils.noData(b,f),b;f.selectAll(".nv-noData").remove(),f.selectAll("*").remove();var v=new Set;g.nodes.forEach(function(a){var b=Object.keys(a);b.forEach(function(a){v.add(a)})});var w=d3.layout.force().nodes(g.nodes).links(g.links).size([j,u]).linkStrength(k).friction(l).linkDistance(m).charge(n).gravity(o).theta(p).alpha(q).start(),x=f.selectAll(".link").data(g.links).enter().append("line").attr("class","nv-force-link").style("stroke-width",function(a){return Math.sqrt(a.value)}),y=f.selectAll(".node").data(g.nodes).enter().append("g").attr("class","nv-force-node").call(w.drag);y.append("circle").attr("r",r).style("fill",function(a){return h(a)}).on("mouseover",function(a){f.select(".nv-series-"+a.seriesIndex+" .nv-distx-"+a.pointIndex).attr("y1",a.py),f.select(".nv-series-"+a.seriesIndex+" .nv-disty-"+a.pointIndex).attr("x2",a.px);var b=h(a);a.series=[],v.forEach(function(c){a.series.push({color:b,key:c,value:a[c]})}),i.data(a).hidden(!1)}).on("mouseout",function(a){i.hidden(!0)}),i.headerFormatter(function(a){return"Node"}),t(x),s(y),w.on("tick",function(){x.attr("x1",function(a){return a.source.x}).attr("y1",function(a){return 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a=d3.mouse(this),d=a[0],e=a[1],h=!0,i=!1;if(k&&(d=d3.event.offsetX,e=d3.event.offsetY,"svg"!==d3.event.target.tagName&&(h=!1),d3.event.target.className.baseVal.match("nv-legend")&&(i=!0)),h&&(d-=c.left,e-=c.top),"mouseout"===d3.event.type||0>d||0>e||d>o||e>p||d3.event.relatedTarget&&void 0===d3.event.relatedTarget.ownerSVGElement||i){if(k&&d3.event.relatedTarget&&void 0===d3.event.relatedTarget.ownerSVGElement&&(void 0===d3.event.relatedTarget.className||d3.event.relatedTarget.className.match(j.nvPointerEventsClass)))return;return g.elementMouseout({mouseX:d,mouseY:e}),b.renderGuideLine(null),void j.hidden(!0)}j.hidden(!1);var l="function"==typeof f.rangeBands,m=void 0;if(l){var n=d3.bisect(f.range(),d)-1;if(!(f.range()[n]+f.rangeBand()>=d))return g.elementMouseout({mouseX:d,mouseY:e}),b.renderGuideLine(null),void j.hidden(!0);m=f.domain()[d3.bisect(f.range(),d)-1]}else 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a={width:640,height:480};return window.innerWidth&&window.innerHeight?(a.width=window.innerWidth,a.height=window.innerHeight,a):"CSS1Compat"==document.compatMode&&document.documentElement&&document.documentElement.offsetWidth?(a.width=document.documentElement.offsetWidth,a.height=document.documentElement.offsetHeight,a):document.body&&document.body.offsetWidth?(a.width=document.body.offsetWidth,a.height=document.body.offsetHeight,a):a},a.utils.isArray=Array.isArray,a.utils.isObject=function(a){return null!==a&&"object"==typeof a},a.utils.isFunction=function(a){return"function"==typeof a},a.utils.isDate=function(a){return"[object Date]"===toString.call(a)},a.utils.isNumber=function(a){return!isNaN(a)&&"number"==typeof a},a.utils.windowResize=function(b){return window.addEventListener?window.addEventListener("resize",b):a.log("ERROR: Failed to bind to window.resize with: ",b),{callback:b,clear:function(){window.removeEventListener("resize",b)}}},a.utils.getColor=function(b){if(void 0===b)return a.utils.defaultColor();if(a.utils.isArray(b)){var c=d3.scale.ordinal().range(b);return function(a,b){var d=void 0===b?a:b;return a.color||c(d)}}return b},a.utils.defaultColor=function(){return a.utils.getColor(d3.scale.category20().range())},a.utils.customTheme=function(b,c,d){c=c||function(a){return a.key},d=d||d3.scale.category20().range();var e=d.length;return function(f,g){var h=c(f);return a.utils.isFunction(b[h])?b[h]():void 0!==b[h]?b[h]:(e||(e=d.length),e-=1,d[e])}},a.utils.pjax=function(b,c){var d=function(d){d3.html(d,function(d){var e=d3.select(c).node();e.parentNode.replaceChild(d3.select(d).select(c).node(),e),a.utils.pjax(b,c)})};d3.selectAll(b).on("click",function(){history.pushState(this.href,this.textContent,this.href),d(this.href),d3.event.preventDefault()}),d3.select(window).on("popstate",function(){d3.event.state&&d(d3.event.state)})},a.utils.calcApproxTextWidth=function(b){if(a.utils.isFunction(b.style)&&a.utils.isFunction(b.text)){var c=parseInt(b.style("font-size").replace("px",""),10),d=b.text().length;return a.utils.NaNtoZero(d*c*.5)}return 0},a.utils.NaNtoZero=function(b){return!a.utils.isNumber(b)||isNaN(b)||null===b||b===1/0||b===-(1/0)?0:b},d3.selection.prototype.watchTransition=function(a){var b=[this].concat([].slice.call(arguments,1));return a.transition.apply(a,b)},a.utils.renderWatch=function(b,c){if(!(this instanceof a.utils.renderWatch))return new a.utils.renderWatch(b,c);var d=void 0!==c?c:250,e=[],f=this;this.models=function(a){return a=[].slice.call(arguments,0),a.forEach(function(a){a.__rendered=!1,function(a){a.dispatch.on("renderEnd",function(b){a.__rendered=!0,f.renderEnd("model")})}(a),e.indexOf(a)<0&&e.push(a)}),this},this.reset=function(a){void 0!==a&&(d=a),e=[]},this.transition=function(a,b,c){if(b=arguments.length>1?[].slice.call(arguments,1):[],c=b.length>1?b.pop():void 0!==d?d:250,a.__rendered=!1,e.indexOf(a)<0&&e.push(a),0===c)return a.__rendered=!0,a.delay=function(){return 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a}),g.orient(n?"right":"left").tickFormat(d3.format(",.1f")),p.duration(0);var t=a.utils.renderWatch(r,s);return e.dispatch.on("elementMouseover.tooltip",function(a){p.data(a).hidden(!1)}),e.dispatch.on("elementMouseout.tooltip",function(a){p.data(a).hidden(!0)}),e.dispatch.on("elementMousemove.tooltip",function(a){p()}),b.dispatch=r,b.boxplot=e,b.xAxis=f,b.yAxis=g,b.tooltip=p,b.options=a.utils.optionsFunc.bind(b),b._options=Object.create({},{width:{get:function(){return i},set:function(a){i=a}},height:{get:function(){return j},set:function(a){j=a}},staggerLabels:{get:function(){return o},set:function(a){o=a}},showXAxis:{get:function(){return l},set:function(a){l=a}},showYAxis:{get:function(){return m},set:function(a){m=a}},tooltipContent:{get:function(){return p},set:function(a){p=a}},noData:{get:function(){return q},set:function(a){q=a}},margin:{get:function(){return h},set:function(a){h.top=void 0!==a.top?a.top:h.top,h.right=void 0!==a.right?a.right:h.right,h.bottom=void 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s=h.call(this,e,o).slice().sort(d3.descending),t=i.call(this,e,o).slice().sort(d3.descending),u=j.call(this,e,o).slice().sort(d3.descending),v=p.selectAll("g.nv-wrap.nv-bulletChart").data([e]),w=v.enter().append("g").attr("class","nvd3 nv-wrap nv-bulletChart"),x=w.append("g"),y=v.select("g");x.append("g").attr("class","nv-bulletWrap"),x.append("g").attr("class","nv-titles"),v.attr("transform","translate("+g.left+","+g.top+")");var z=d3.scale.linear().domain([0,Math.max(s[0],t[0]||0,u[0])]).range(f?[q,0]:[0,q]),A=this.__chart__||d3.scale.linear().domain([0,1/0]).range(z.range());this.__chart__=z;var B=x.select(".nv-titles").append("g").attr("text-anchor","end").attr("transform","translate(-6,"+(l-g.top-g.bottom)/2+")");B.append("text").attr("class","nv-title").text(function(a){return a.title}),B.append("text").attr("class","nv-subtitle").attr("dy","1em").text(function(a){return a.subtitle}),c.width(q).height(r);var C=y.select(".nv-bulletWrap");d3.transition(C).call(c);var D=m||z.tickFormat(q/100),E=y.selectAll("g.nv-tick").data(z.ticks(n?n:q/50),function(a){return this.textContent||D(a)}),F=E.enter().append("g").attr("class","nv-tick").attr("transform",function(a){return"translate("+A(a)+",0)"}).style("opacity",1e-6);F.append("line").attr("y1",r).attr("y2",7*r/6),F.append("text").attr("text-anchor","middle").attr("dy","1em").attr("y",7*r/6).text(D);var G=d3.transition(E).attr("transform",function(a){return"translate("+z(a)+",0)"}).style("opacity",1);G.select("line").attr("y1",r).attr("y2",7*r/6),G.select("text").attr("y",7*r/6),d3.transition(E.exit()).attr("transform",function(a){return"translate("+z(a)+",0)"}).style("opacity",1e-6).remove()}),d3.timer.flush(),b}var c=a.models.bullet(),d=a.models.tooltip(),e="left",f=!1,g={top:5,right:40,bottom:20,left:120},h=function(a){return a.ranges},i=function(a){return a.markers?a.markers:[]},j=function(a){return a.measures},k=null,l=55,m=null,n=null,o=null,p=d3.dispatch();return d.duration(0).headerEnabled(!1),c.dispatch.on("elementMouseover.tooltip",function(a){a.series={key:a.label,value:a.value,color:a.color},d.data(a).hidden(!1)}),c.dispatch.on("elementMouseout.tooltip",function(a){d.hidden(!0)}),c.dispatch.on("elementMousemove.tooltip",function(a){d()}),b.bullet=c,b.dispatch=p,b.tooltip=d,b.options=a.utils.optionsFunc.bind(b),b._options=Object.create({},{ranges:{get:function(){return h},set:function(a){h=a}},markers:{get:function(){return i},set:function(a){i=a}},measures:{get:function(){return j},set:function(a){j=a}},width:{get:function(){return k},set:function(a){k=a}},height:{get:function(){return l},set:function(a){l=a}},tickFormat:{get:function(){return m},set:function(a){m=a}},ticks:{get:function(){return n},set:function(a){n=a}},noData:{get:function(){return o},set:function(a){o=a}},margin:{get:function(){return g},set:function(a){g.top=void 0!==a.top?a.top:g.top,g.right=void 0!==a.right?a.right:g.right,g.bottom=void 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B=d3.select(this).selectAll("g.nv-wrap.nv-candlestickBar").data([b[0].values]),C=B.enter().append("g").attr("class","nvd3 nv-wrap nv-candlestickBar"),D=C.append("defs"),E=C.append("g"),F=B.select("g");E.append("g").attr("class","nv-ticks"),B.attr("transform","translate("+h.left+","+h.top+")"),c.on("click",function(a,b){z.chartClick({data:a,index:b,pos:d3.event,id:k})}),D.append("clipPath").attr("id","nv-chart-clip-path-"+k).append("rect"),B.select("#nv-chart-clip-path-"+k+" rect").attr("width",x).attr("height",y),F.attr("clip-path",w?"url(#nv-chart-clip-path-"+k+")":"");var G=B.select(".nv-ticks").selectAll(".nv-tick").data(function(a){return a});G.exit().remove();var H=G.enter().append("g");G.attr("class",function(a,b,c){return(p(a,b)>q(a,b)?"nv-tick negative":"nv-tick positive")+" nv-tick-"+c+"-"+b});H.append("line").attr("class","nv-candlestick-lines").attr("transform",function(a,b){return"translate("+l(n(a,b))+",0)"}).attr("x1",0).attr("y1",function(a,b){return m(r(a,b))}).attr("x2",0).attr("y2",function(a,b){return m(s(a,b))}),H.append("rect").attr("class","nv-candlestick-rects nv-bars").attr("transform",function(a,b){return"translate("+(l(n(a,b))-A/2)+","+(m(o(a,b))-(p(a,b)>q(a,b)?m(q(a,b))-m(p(a,b)):0))+")"}).attr("x",0).attr("y",0).attr("width",A).attr("height",function(a,b){var c=p(a,b),d=q(a,b);return c>d?m(d)-m(c):m(c)-m(d)});G.select(".nv-candlestick-lines").transition().attr("transform",function(a,b){return"translate("+l(n(a,b))+",0)"}).attr("x1",0).attr("y1",function(a,b){return m(r(a,b))}).attr("x2",0).attr("y2",function(a,b){return m(s(a,b))}),G.select(".nv-candlestick-rects").transition().attr("transform",function(a,b){return"translate("+(l(n(a,b))-A/2)+","+(m(o(a,b))-(p(a,b)>q(a,b)?m(q(a,b))-m(p(a,b)):0))+")"}).attr("x",0).attr("y",0).attr("width",A).attr("height",function(a,b){var c=p(a,b),d=q(a,b);return c>d?m(d)-m(c):m(c)-m(d)})}),b}var c,d,e,f,g,h={top:0,right:0,bottom:0,left:0},i=null,j=null,k=Math.floor(1e4*Math.random()),l=d3.scale.linear(),m=d3.scale.linear(),n=function(a){return a.x},o=function(a){return a.y},p=function(a){return a.open},q=function(a){return a.close},r=function(a){return a.high},s=function(a){return a.low},t=[],u=[],v=!1,w=!0,x=a.utils.defaultColor(),y=!1,z=d3.dispatch("stateChange","changeState","renderEnd","chartClick","elementClick","elementDblClick","elementMouseover","elementMouseout","elementMousemove");return b.highlightPoint=function(a,d){b.clearHighlights(),c.select(".nv-candlestickBar .nv-tick-0-"+a).classed("hover",d)},b.clearHighlights=function(){c.select(".nv-candlestickBar .nv-tick.hover").classed("hover",!1)},b.dispatch=z,b.options=a.utils.optionsFunc.bind(b),b._options=Object.create({},{width:{get:function(){return i},set:function(a){i=a}},height:{get:function(){return j},set:function(a){j=a}},xScale:{get:function(){return l},set:function(a){l=a}},yScale:{get:function(){return 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a/bench/tensors/eigen_sycl_bench_contract.sh b/bench/tensors/eigen_sycl_bench_contract.sh index 3ab0138a1..158b0a940 100644 --- a/bench/tensors/eigen_sycl_bench_contract.sh +++ b/bench/tensors/eigen_sycl_bench_contract.sh @@ -4,4 +4,3 @@ echo "COMPUTECPP_PACKAGE_ROOT_DIR is set to: "$COMPUTECPP_PACKAGE_ROOT_DIR ${COMPUTECPP_PACKAGE_ROOT_DIR}/bin/compute++ tensor_contract_sycl_bench.cc -I ../../ -I ${COMPUTECPP_PACKAGE_ROOT_DIR}/include/ -std=c++11 -O3 -DNDEBUG -DEIGEN_USE_SYCL=1 -no-serial-memop -mllvm -inline-threshold=10000 -fsycl-ih-last -sycl-driver -Xclang -cl-mad-enable -lOpenCL -lComputeCpp -lpthread -o tensor_contract_sycl_bench ${@:1} export LD_LIBRARY_PATH=${COMPUTECPP_PACKAGE_ROOT_DIR}/lib:$LD_LIBRARY_PATH ./tensor_contract_sycl_bench - diff --git a/blas/README.txt b/blas/README.txt index 63a5203b9..257218c65 100644 --- a/blas/README.txt +++ b/blas/README.txt @@ -3,4 +3,3 @@ This directory contains a BLAS library built on top of Eigen. This module is not built by default. In order to compile it, you need to type 'make blas' from within your build dir. - diff --git a/blas/testing/CMakeLists.txt b/blas/testing/CMakeLists.txt index f0ee6a487..2daa9e34b 100644 --- a/blas/testing/CMakeLists.txt +++ b/blas/testing/CMakeLists.txt @@ -49,4 +49,3 @@ ei_add_blas_test(zblat3) # add_dependencies(level1 sblat1) endif() - diff --git a/blas/testing/cblat2.f b/blas/testing/cblat2.f index 5833ea81a..74dd85d78 100644 --- a/blas/testing/cblat2.f +++ b/blas/testing/cblat2.f @@ -3276,4 +3276,3 @@ * End of XERBLA * END - diff --git a/blas/testing/cblat3.f b/blas/testing/cblat3.f index 09f2cb9c5..c0a8b8c11 100644 --- a/blas/testing/cblat3.f +++ b/blas/testing/cblat3.f @@ -3489,4 +3489,3 @@ * End of XERBLA * END - diff --git a/blas/testing/dblat2.f b/blas/testing/dblat2.f index 0fa80afa4..637a84b66 100644 --- a/blas/testing/dblat2.f +++ b/blas/testing/dblat2.f @@ -3173,4 +3173,3 @@ * End of XERBLA * END - diff --git a/blas/testing/dblat3.f b/blas/testing/dblat3.f index 8d37c7453..96f0bcc5b 100644 --- a/blas/testing/dblat3.f +++ b/blas/testing/dblat3.f @@ -2870,4 +2870,3 @@ * End of XERBLA * END - diff --git a/blas/testing/sblat2.f b/blas/testing/sblat2.f index 71605ed31..66e3dcc36 100644 --- a/blas/testing/sblat2.f +++ b/blas/testing/sblat2.f @@ -3173,4 +3173,3 @@ * End of XERBLA * END - diff --git a/blas/testing/sblat3.f b/blas/testing/sblat3.f index 879269633..ce886d199 100644 --- a/blas/testing/sblat3.f +++ b/blas/testing/sblat3.f @@ -2870,4 +2870,3 @@ * End of XERBLA * END - diff --git a/blas/testing/zblat2.f b/blas/testing/zblat2.f index 53129a11e..aa5a430a2 100644 --- a/blas/testing/zblat2.f +++ b/blas/testing/zblat2.f @@ -3284,4 +3284,3 @@ * End of XERBLA * END - diff --git a/blas/testing/zblat3.f b/blas/testing/zblat3.f index 59ca24145..ed52804ef 100644 --- a/blas/testing/zblat3.f +++ b/blas/testing/zblat3.f @@ -3499,4 +3499,3 @@ * End of XERBLA * END - diff --git a/ci/scripts/vars.linux.sh b/ci/scripts/vars.linux.sh index 6676868d1..ca951ec1f 100755 --- a/ci/scripts/vars.linux.sh +++ b/ci/scripts/vars.linux.sh @@ -11,4 +11,3 @@ export EIGEN_CI_TEST_CUSTOM_CXX_FLAGS="" export EIGEN_CI_CTEST_LABEL="Official" export EIGEN_CI_CTEST_REGEX="" export EIGEN_CI_CTEST_ARGS="" - diff --git a/cmake/EigenConfigureTesting.cmake b/cmake/EigenConfigureTesting.cmake index d72d88a02..5a64f8a0a 100644 --- a/cmake/EigenConfigureTesting.cmake +++ b/cmake/EigenConfigureTesting.cmake @@ -70,5 +70,3 @@ if(CMAKE_COMPILER_IS_GNUCXX) elseif(MSVC) set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /D_CRT_SECURE_NO_WARNINGS /D_SCL_SECURE_NO_WARNINGS") endif() - - diff --git a/cmake/EigenUninstall.cmake b/cmake/EigenUninstall.cmake index 5e63c98d9..400eee691 100644 --- a/cmake/EigenUninstall.cmake +++ b/cmake/EigenUninstall.cmake @@ -35,6 +35,3 @@ else() message(STATUS "Probably make install has not been performed") message(STATUS " or install_manifest.txt has been deleted.") endif() - - - diff --git a/cmake/FindFFTW.cmake b/cmake/FindFFTW.cmake index ed55c5fad..bdfbe52d7 100644 --- a/cmake/FindFFTW.cmake +++ b/cmake/FindFFTW.cmake @@ -117,4 +117,3 @@ find_package_handle_standard_args(FFTW DEFAULT_MSG FFTW_INCLUDES FFTW_LIBRARIES) mark_as_advanced(FFTW_INCLUDES FFTW_LIBRARIES FFTW_LIB FFTWF_LIB FFTWL_LIB) - diff --git a/cmake/FindSPQR.cmake b/cmake/FindSPQR.cmake index d6fb2e13d..677c43256 100644 --- a/cmake/FindSPQR.cmake +++ b/cmake/FindSPQR.cmake @@ -38,4 +38,4 @@ endif() include(FindPackageHandleStandardArgs) find_package_handle_standard_args(SPQR DEFAULT_MSG SPQR_INCLUDES SPQR_LIBRARIES) -mark_as_advanced(SPQR_INCLUDES SPQR_LIBRARIES) \ No newline at end of file +mark_as_advanced(SPQR_INCLUDES SPQR_LIBRARIES) diff --git a/cmake/RegexUtils.cmake b/cmake/RegexUtils.cmake index f0a15248b..e0c5819cd 100644 --- a/cmake/RegexUtils.cmake +++ b/cmake/RegexUtils.cmake @@ -16,4 +16,4 @@ function(test_escape_string_as_regex) if(NOT test2 STREQUAL testRef) message("Error in the escape_string_for_regex function : \n ${test1} was escaped as ${test2}, should be ${testRef}") endif() -endfunction() \ No newline at end of file +endfunction() diff --git a/demos/opengl/CMakeLists.txt b/demos/opengl/CMakeLists.txt index 299aa441d..c4d5adfc4 100644 --- a/demos/opengl/CMakeLists.txt +++ b/demos/opengl/CMakeLists.txt @@ -25,4 +25,4 @@ else() message(STATUS "OpenGL demo disabled because Qt4 and/or OpenGL have not been found.") -endif() \ No newline at end of file +endif() diff --git a/demos/opengl/README b/demos/opengl/README index 8fb16496c..92514450f 100644 --- a/demos/opengl/README +++ b/demos/opengl/README @@ -10,4 +10,3 @@ R : move the camera to initial position A : start/stop animation C : clear the animation G : add a key frame - diff --git a/doc/CustomizingEigen_NullaryExpr.dox b/doc/CustomizingEigen_NullaryExpr.dox index 37c8dcd89..b1518c82a 100644 --- a/doc/CustomizingEigen_NullaryExpr.dox +++ b/doc/CustomizingEigen_NullaryExpr.dox @@ -83,4 +83,3 @@ and the output is: */ } - diff --git a/doc/InplaceDecomposition.dox b/doc/InplaceDecomposition.dox index cb1c6d413..f23d9adbc 100644 --- a/doc/InplaceDecomposition.dox +++ b/doc/InplaceDecomposition.dox @@ -112,4 +112,4 @@ Here is the list of matrix decompositions supporting this inplace mechanism: */ -} \ No newline at end of file +} diff --git a/doc/LeastSquares.dox b/doc/LeastSquares.dox index ddbf38dec..1708a7325 100644 --- a/doc/LeastSquares.dox +++ b/doc/LeastSquares.dox @@ -72,4 +72,4 @@ methods mentioned above. */ -} \ No newline at end of file +} diff --git a/doc/MatrixfreeSolverExample.dox b/doc/MatrixfreeSolverExample.dox index 3efa292b5..ab641ae67 100644 --- a/doc/MatrixfreeSolverExample.dox +++ b/doc/MatrixfreeSolverExample.dox @@ -17,4 +17,4 @@ Output: \verbinclude matrixfree_cg.out */ -} \ No newline at end of file +} diff --git a/doc/NewExpressionType.dox b/doc/NewExpressionType.dox index c2f243312..acc8cc78d 100644 --- a/doc/NewExpressionType.dox +++ b/doc/NewExpressionType.dox @@ -140,4 +140,3 @@ showing that the program works as expected: */ } - diff --git a/doc/QuickStartGuide.dox b/doc/QuickStartGuide.dox index 6042acaf9..762be0cb9 100644 --- a/doc/QuickStartGuide.dox +++ b/doc/QuickStartGuide.dox @@ -97,4 +97,3 @@ However if you think you don't need it, you can directly use the classes documen */ } - diff --git a/doc/snippets/MatrixBase_cwiseArg.cpp b/doc/snippets/MatrixBase_cwiseArg.cpp index e0857cf97..1bf7e6284 100644 --- a/doc/snippets/MatrixBase_cwiseArg.cpp +++ b/doc/snippets/MatrixBase_cwiseArg.cpp @@ -1,3 +1,3 @@ MatrixXcf v = MatrixXcf::Random(2, 3); cout << v << endl << endl; -cout << v.cwiseArg() << endl; \ No newline at end of file +cout << v.cwiseArg() << endl; diff --git a/lapack/svd.inc b/lapack/svd.inc index 262c5c696..b08a5621f 100644 --- a/lapack/svd.inc +++ b/lapack/svd.inc @@ -147,4 +147,4 @@ EIGEN_LAPACK_FUNC(gesvd) } } -#undef EIGEN_LAPACK_ARG_IF_COMPLEX \ No newline at end of file +#undef EIGEN_LAPACK_ARG_IF_COMPLEX diff --git a/scripts/buildtests.in b/scripts/buildtests.in index ab9c18fb1..cbc6a8c61 100755 --- a/scripts/buildtests.in +++ b/scripts/buildtests.in @@ -19,4 +19,3 @@ else @CMAKE_MAKE_PROGRAM@ $targets_to_make @EIGEN_TEST_BUILD_FLAGS@ fi exit $? - diff --git a/scripts/ci_cmake_msvc.ps1 b/scripts/ci_cmake_msvc.ps1 index c08b9ae58..8a9300aec 100644 --- a/scripts/ci_cmake_msvc.ps1 +++ b/scripts/ci_cmake_msvc.ps1 @@ -62,4 +62,3 @@ IF ($EIGEN_CI_BUILD_TARGET) { # building the rest, then try to build again with a single thread. cmake --build . --target $EIGEN_CI_BUILD_TARGET -- -k0 || cmake --build . --target $EIGEN_CI_BUILD_TARGET -- -k0 -j1 } - diff --git a/scripts/eigen_gen_docs b/scripts/eigen_gen_docs index 787dcb325..9a3956761 100755 --- a/scripts/eigen_gen_docs +++ b/scripts/eigen_gen_docs @@ -21,4 +21,3 @@ rsync -az --no-p --delete build/doc/html/ $USER@ssh.tuxfamily.org:eigen/eigen.tu ssh $USER@ssh.tuxfamily.org "chmod -R g+w /home/eigen/eigen.tuxfamily.org-web/htdocs/$UPLOAD_DIR" || { echo "perm failed"; exit 1; } echo "Uploaded successfully" - diff --git a/scripts/eigen_gen_split_test_help.cmake b/scripts/eigen_gen_split_test_help.cmake index e43f5aabe..d30edfec0 100755 --- a/scripts/eigen_gen_split_test_help.cmake +++ b/scripts/eigen_gen_split_test_help.cmake @@ -8,4 +8,4 @@ foreach(i RANGE 1 999) "#define CALL_SUBTEST_${i}(FUNC)\n" "#endif\n\n" ) -endforeach() \ No newline at end of file +endforeach() diff --git a/scripts/msvc_setup.ps1 b/scripts/msvc_setup.ps1 index e2d06422e..896faf386 100644 --- a/scripts/msvc_setup.ps1 +++ b/scripts/msvc_setup.ps1 @@ -18,4 +18,4 @@ $global:EIGEN_CI_MSVC_VER = $EIGEN_CI_MSVC_VER $global:VS_INSTALL_DIR = &"${Env:ProgramFiles(x86)}\Microsoft Visual Studio\Installer\vswhere.exe" -latest -property installationPath # Run VCVarsAll.bat incitialization script and extract environment variables. # http://allen-mack.blogspot.com/2008/03/replace-visual-studio-command-prompt.html -cmd.exe /c "`"${VS_INSTALL_DIR}\VC\Auxiliary\Build\vcvarsall.bat`" $EIGEN_CI_MSVC_ARCH -vcvars_ver=$EIGEN_CI_MSVC_VER & set" | foreach { if ($_ -match "=") { $v = $_.split("="); set-item -force -path "ENV:\$($v[0])" -value "$($v[1])" } } \ No newline at end of file +cmd.exe /c "`"${VS_INSTALL_DIR}\VC\Auxiliary\Build\vcvarsall.bat`" $EIGEN_CI_MSVC_ARCH -vcvars_ver=$EIGEN_CI_MSVC_VER & set" | foreach { if ($_ -match "=") { $v = $_.split("="); set-item -force -path "ENV:\$($v[0])" -value "$($v[1])" } } diff --git a/test/SafeScalar.h b/test/SafeScalar.h index 33a54c5af..aa88906fb 100644 --- a/test/SafeScalar.h +++ b/test/SafeScalar.h @@ -30,4 +30,4 @@ template struct NumTraits> : GenericNumTraits { enum { RequireInitialization = 1 }; }; -} // namespace Eigen \ No newline at end of file +} // namespace Eigen diff --git a/test/dense_storage.cpp b/test/dense_storage.cpp index d394a94f9..63bdca53f 100644 --- a/test/dense_storage.cpp +++ b/test/dense_storage.cpp @@ -282,4 +282,4 @@ EIGEN_DECLARE_TEST(dense_storage) { } } -#undef EIGEN_TESTING_PLAINOBJECT_CTOR \ No newline at end of file +#undef EIGEN_TESTING_PLAINOBJECT_CTOR diff --git a/unsupported/Eigen/src/LevenbergMarquardt/CopyrightMINPACK.txt b/unsupported/Eigen/src/LevenbergMarquardt/CopyrightMINPACK.txt index ae7984dae..132cc3f33 100644 --- a/unsupported/Eigen/src/LevenbergMarquardt/CopyrightMINPACK.txt +++ b/unsupported/Eigen/src/LevenbergMarquardt/CopyrightMINPACK.txt @@ -49,4 +49,3 @@ SUCH LIABILITY IS ASSERTED ON THE BASIS OF CONTRACT, TORT (INCLUDING NEGLIGENCE OR STRICT LIABILITY), OR OTHERWISE, EVEN IF ANY OF SAID PARTIES HAS BEEN WARNED OF THE POSSIBILITY OF SUCH LOSS OR DAMAGES. - diff --git a/unsupported/README.txt b/unsupported/README.txt index 70793bf13..27c56c751 100644 --- a/unsupported/README.txt +++ b/unsupported/README.txt @@ -47,4 +47,3 @@ unsupported/test/.cpp <- unit test files The documentation is generated at the same time than the main Eigen documentation. The .html files are generated in: build_dir/doc/html/unsupported/ - diff --git a/unsupported/doc/Overview.dox b/unsupported/doc/Overview.dox index b3cfa964e..b0f10385f 100644 --- a/unsupported/doc/Overview.dox +++ b/unsupported/doc/Overview.dox @@ -28,4 +28,3 @@ subject to be included in %Eigen in the future. /// \internal \brief Namespace containing low-level routines from the %Eigen library. namespace internal {} } - -- GitLab From dfa38d85b5ea4fe0a968ee18ad2acb3ea3b0a49b Mon Sep 17 00:00:00 2001 From: Hans Johnson Date: Wed, 24 Sep 2025 16:59:42 -0500 Subject: [PATCH 3/4] STYLE: Trims trailing whitespace. Trims all whitespace from the ends of lines. Keeps code tidy and minimize git diffs in the future. --- .gitlab/issue_templates/Bug Report.md | 16 ++-- .../Merge Request Template.md | 2 +- CHANGELOG.md | 2 +- COPYING.MPL2 | 2 +- bench/btl/cmake/FindATLAS.cmake | 4 +- .../cmake/FindPackageHandleStandardArgs.cmake | 8 +- .../cmake/MacroOptionalAddSubdirectory.cmake | 2 +- .../resources/chart_footer.html | 54 ++++++------ .../resources/chart_header.html | 86 +++++++++--------- bench/perf_monitoring/run.sh | 10 +-- bench/spbench/CMakeLists.txt | 2 +- bench/spbench/spbench.dtd | 2 +- bench/tensors/README | 4 +- blas/testing/CMakeLists.txt | 2 +- blas/testing/runblastest.sh | 2 +- cmake/Eigen3ConfigVersion.cmake.in | 2 +- cmake/FindAdolc.cmake | 6 +- cmake/FindCHOLMOD.cmake | 2 +- cmake/FindDPCPP.cmake | 2 +- cmake/FindFFTW.cmake | 2 +- cmake/FindKLU.cmake | 2 +- cmake/FindMPFR.cmake | 10 +-- cmake/FindMPREAL.cmake | 16 ++-- cmake/FindSPQR.cmake | 4 +- cmake/FindUMFPACK.cmake | 2 +- debug/gdb/printers.py | 78 ++++++++-------- doc/AsciiQuickReference.txt | 4 +- doc/ClassHierarchy.dox | 12 +-- doc/CustomizingEigen_InheritingMatrix.dox | 4 +- doc/FunctionsTakingEigenTypes.dox | 4 +- doc/HiPerformance.dox | 2 +- doc/LeastSquares.dox | 2 +- doc/NewExpressionType.dox | 8 +- doc/Pitfalls.dox | 2 +- doc/PreprocessorDirectives.dox | 8 +- doc/SparseLinearSystems.dox | 38 ++++---- doc/SparseQuickReference.dox | 88 +++++++++---------- doc/StlContainers.dox | 4 +- doc/StorageOrders.dox | 2 +- doc/TemplateKeyword.dox | 4 +- doc/TopicAliasing.dox | 18 ++-- doc/TopicMultithreading.dox | 2 +- doc/TutorialAdvancedInitialization.dox | 4 +- doc/TutorialArrayClass.dox | 14 +-- doc/TutorialBlockOperations.dox | 30 +++---- doc/TutorialLinearAlgebra.dox | 6 +- doc/TutorialMapClass.dox | 2 +- doc/TutorialMatrixClass.dox | 4 +- ...TutorialReductionsVisitorsBroadcasting.dox | 38 ++++---- doc/TutorialSTL.dox | 2 +- doc/UsingNVCC.dox | 4 +- doc/eigendoxy.css | 10 +-- lapack/CMakeLists.txt | 22 ++--- scripts/cdashtesting.cmake.in | 8 +- scripts/ci_cmake_msvc.ps1 | 2 +- scripts/msvc_setup.ps1 | 2 +- .../src/Tensor/TensorContractionThreadPool.h | 10 +-- .../CXX11/src/Tensor/TensorVolumePatch.h | 2 +- unsupported/Eigen/IterativeSolvers | 2 +- unsupported/Eigen/MPRealSupport | 2 +- unsupported/doc/SYCL.dox | 4 +- unsupported/test/CMakeLists.txt | 2 +- 62 files changed, 348 insertions(+), 348 deletions(-) diff --git a/.gitlab/issue_templates/Bug Report.md b/.gitlab/issue_templates/Bug Report.md index 0c49b0fe3..b85ae6884 100644 --- a/.gitlab/issue_templates/Bug Report.md +++ b/.gitlab/issue_templates/Bug Report.md @@ -24,9 +24,9 @@ and verify the issue you're about to submit isn't a duplicate. --> ### Minimal Example @@ -40,7 +40,7 @@ on how to create a good minimal example. --> 1. first step 2. second step -3. ... +3. ... ### What is the current *bug* behavior? @@ -60,10 +60,10 @@ on how to create a good minimal example. --> ### Anything else that might help - +- last known working/first broken version (release number or commit hash). --> - [ ] Have a plan to fix this issue. diff --git a/.gitlab/merge_request_templates/Merge Request Template.md b/.gitlab/merge_request_templates/Merge Request Template.md index 3fe963afa..04da0859b 100644 --- a/.gitlab/merge_request_templates/Merge Request Template.md +++ b/.gitlab/merge_request_templates/Merge Request Template.md @@ -1,4 +1,4 @@ - - + diff --git a/bench/tensors/README b/bench/tensors/README index 3aca7672c..d8b5feb7e 100644 --- a/bench/tensors/README +++ b/bench/tensors/README @@ -16,11 +16,11 @@ following commands: 1. export COMPUTECPP_PACKAGE_ROOT_DIR={PATH TO COMPUTECPP ROOT DIRECTORY} 2. bash eigen_sycl_bench.sh -To compile the floating point GPU benchmarks using Intel DPCPP compiler +To compile the floating point GPU benchmarks using Intel DPCPP compiler /path/to/dpcpp/bin/clang+ -DSYCL_COMPILER_IS_DPCPP -DNDEBUG -DEIGEN_USE_SYCL=1 -I ../../ -O3 -DNDEBUG -fsycl -fsycl-targets="supported backend in DPCPP. i.e. spir64 or nvptx64-nvidia-cuda" -std=c++17 tensor_benchmarks_sycl.cc benchmark_main.cc -lpthread -o eigen_dpcpp_sycl Last but not least, we also provide a suite of benchmarks to measure the scalability of the contraction code on CPU. To compile these benchmarks, call g++ contraction_benchmarks_cpu.cc benchmark_main.cc -I ../../ -std=c++11 -O3 -DNDEBUG -pthread -mavx -o benchmarks_cpu -To compile the contraction with DPCPP: +To compile the contraction with DPCPP: /path/to/dpcpp/bin/clang++ -DSYCL_COMPILER_IS_DPCPP -DNDEBUG -DEIGEN_USE_SYCL=1 -I ../../ -O3 -DNDEBUG -fsycl -fsycl-targets="supported backend in DPCPP. i.e. spir64 or nvptx64-nvidia-cuda" -std=c++17 tensor_contract_sycl_bench.cc -lpthread -o eigen_dpcpp_contract diff --git a/blas/testing/CMakeLists.txt b/blas/testing/CMakeLists.txt index 2daa9e34b..d5512595c 100644 --- a/blas/testing/CMakeLists.txt +++ b/blas/testing/CMakeLists.txt @@ -26,7 +26,7 @@ macro(ei_add_blas_test testname) add_test(${testname} "${Eigen_SOURCE_DIR}/blas/testing/runblastest.sh" "${testname}" "${Eigen_SOURCE_DIR}/blas/testing/${testname}.dat") add_dependencies(buildtests ${targetname}) - + endmacro() ei_add_blas_test(sblat1) diff --git a/blas/testing/runblastest.sh b/blas/testing/runblastest.sh index 4ffaf0111..abac198f7 100755 --- a/blas/testing/runblastest.sh +++ b/blas/testing/runblastest.sh @@ -39,7 +39,7 @@ else cat .runtest.log echo -e $black exit 1; - fi + fi fi echo -e $green Test $1 passed$black fi diff --git a/cmake/Eigen3ConfigVersion.cmake.in b/cmake/Eigen3ConfigVersion.cmake.in index b680c63a0..e40320ba9 100644 --- a/cmake/Eigen3ConfigVersion.cmake.in +++ b/cmake/Eigen3ConfigVersion.cmake.in @@ -1,5 +1,5 @@ # This is a CMake version file for the Config-mode of find_package(). -# +# # The version constraint is compatible with the current package under the # following conditions: # - If a version range is specified, the package version falls within the diff --git a/cmake/FindAdolc.cmake b/cmake/FindAdolc.cmake index 13c59fcf7..12df181e1 100644 --- a/cmake/FindAdolc.cmake +++ b/cmake/FindAdolc.cmake @@ -8,9 +8,9 @@ find_path(ADOLC_INCLUDES PATHS $ENV{ADOLCDIR} $ENV{ADOLCDIR}/include ${INCLUDE_INSTALL_DIR} ) -find_library(ADOLC_LIBRARIES - adolc - PATHS $ENV{ADOLCDIR} ${LIB_INSTALL_DIR} +find_library(ADOLC_LIBRARIES + adolc + PATHS $ENV{ADOLCDIR} ${LIB_INSTALL_DIR} PATH_SUFFIXES lib lib64) include(FindPackageHandleStandardArgs) diff --git a/cmake/FindCHOLMOD.cmake b/cmake/FindCHOLMOD.cmake index e470cb2e0..c24086d25 100644 --- a/cmake/FindCHOLMOD.cmake +++ b/cmake/FindCHOLMOD.cmake @@ -79,7 +79,7 @@ if(CHOLMOD_LIBRARIES) if (SUITESPARSE_LIBRARY) set(CHOLMOD_LIBRARIES ${CHOLMOD_LIBRARIES} ${SUITESPARSE_LIBRARY}) endif () - + endif() include(FindPackageHandleStandardArgs) diff --git a/cmake/FindDPCPP.cmake b/cmake/FindDPCPP.cmake index 73aa30f65..727381429 100644 --- a/cmake/FindDPCPP.cmake +++ b/cmake/FindDPCPP.cmake @@ -9,7 +9,7 @@ if("${DPCPP_SYCL_TARGET}" STREQUAL "amdgcn-amd-amdhsa" AND " please specify in DPCPP_SYCL_ARCH") endif() -set(DPCPP_USER_FLAGS "" CACHE STRING +set(DPCPP_USER_FLAGS "" CACHE STRING "Additional user-specified compiler flags for DPC++") get_filename_component(DPCPP_BIN_DIR ${CMAKE_CXX_COMPILER} DIRECTORY) diff --git a/cmake/FindFFTW.cmake b/cmake/FindFFTW.cmake index bdfbe52d7..e0415e3d9 100644 --- a/cmake/FindFFTW.cmake +++ b/cmake/FindFFTW.cmake @@ -2,7 +2,7 @@ # # Usage: # find_package(FFTW [REQUIRED] [QUIET] ) -# +# # It sets the following variables: # FFTW_FOUND ... true if fftw is found on the system # FFTW_LIBRARIES ... full path to fftw library diff --git a/cmake/FindKLU.cmake b/cmake/FindKLU.cmake index 6217d1490..a07d1aa47 100644 --- a/cmake/FindKLU.cmake +++ b/cmake/FindKLU.cmake @@ -28,7 +28,7 @@ if(KLU_LIBRARIES) if(COLAMD_LIBRARY) set(KLU_LIBRARIES ${KLU_LIBRARIES} ${COLAMD_LIBRARY}) endif () - + find_library(AMD_LIBRARY amd PATHS ${KLU_LIBDIR} $ENV{KLUDIR} ${LIB_INSTALL_DIR}) if(AMD_LIBRARY) set(KLU_LIBRARIES ${KLU_LIBRARIES} ${AMD_LIBRARY}) diff --git a/cmake/FindMPFR.cmake b/cmake/FindMPFR.cmake index d8da9d6ff..c19cc90da 100644 --- a/cmake/FindMPFR.cmake +++ b/cmake/FindMPFR.cmake @@ -47,20 +47,20 @@ endif() if(MPFR_INCLUDES) # Set MPFR_VERSION - + file(READ "${MPFR_INCLUDES}/mpfr.h" _mpfr_version_header) - + string(REGEX MATCH "define[ \t]+MPFR_VERSION_MAJOR[ \t]+([0-9]+)" _mpfr_major_version_match "${_mpfr_version_header}") set(MPFR_MAJOR_VERSION "${CMAKE_MATCH_1}") string(REGEX MATCH "define[ \t]+MPFR_VERSION_MINOR[ \t]+([0-9]+)" _mpfr_minor_version_match "${_mpfr_version_header}") set(MPFR_MINOR_VERSION "${CMAKE_MATCH_1}") string(REGEX MATCH "define[ \t]+MPFR_VERSION_PATCHLEVEL[ \t]+([0-9]+)" _mpfr_patchlevel_version_match "${_mpfr_version_header}") set(MPFR_PATCHLEVEL_VERSION "${CMAKE_MATCH_1}") - + set(MPFR_VERSION ${MPFR_MAJOR_VERSION}.${MPFR_MINOR_VERSION}.${MPFR_PATCHLEVEL_VERSION}) - + # Check whether found version exceeds minimum version - + if(${MPFR_VERSION} VERSION_LESS ${MPFR_FIND_VERSION}) set(MPFR_VERSION_OK FALSE) message(STATUS "MPFR version ${MPFR_VERSION} found in ${MPFR_INCLUDES}, " diff --git a/cmake/FindMPREAL.cmake b/cmake/FindMPREAL.cmake index 947a1ce88..65e41f283 100644 --- a/cmake/FindMPREAL.cmake +++ b/cmake/FindMPREAL.cmake @@ -61,33 +61,33 @@ int main(int argc, char** argv) { if(MPREAL_INCLUDES) # Set MPREAL_VERSION - + file(READ "${MPREAL_INCLUDES}/mpreal.h" _mpreal_version_header) - + string(REGEX MATCH "define[ \t]+MPREAL_VERSION_MAJOR[ \t]+([0-9]+)" _mpreal_major_version_match "${_mpreal_version_header}") set(MPREAL_MAJOR_VERSION "${CMAKE_MATCH_1}") string(REGEX MATCH "define[ \t]+MPREAL_VERSION_MINOR[ \t]+([0-9]+)" _mpreal_minor_version_match "${_mpreal_version_header}") set(MPREAL_MINOR_VERSION "${CMAKE_MATCH_1}") string(REGEX MATCH "define[ \t]+MPREAL_VERSION_PATCHLEVEL[ \t]+([0-9]+)" _mpreal_patchlevel_version_match "${_mpreal_version_header}") set(MPREAL_PATCHLEVEL_VERSION "${CMAKE_MATCH_1}") - + set(MPREAL_VERSION ${MPREAL_MAJOR_VERSION}.${MPREAL_MINOR_VERSION}.${MPREAL_PATCHLEVEL_VERSION}) - + # Check whether found version exceeds minimum version - + if(${MPREAL_VERSION} VERSION_LESS ${MPREAL_FIND_VERSION}) set(MPREAL_VERSION_OK FALSE) message(STATUS "MPREAL version ${MPREAL_VERSION} found in ${MPREAL_INCLUDES}, " "but at least version ${MPREAL_FIND_VERSION} is required") else() set(MPREAL_VERSION_OK TRUE) - + list(APPEND MPREAL_INCLUDES "${MPFR_INCLUDES}" "${GMP_INCLUDES}") list(REMOVE_DUPLICATES MPREAL_INCLUDES) - + list(APPEND MPREAL_LIBRARIES "${MPFR_LIBRARIES}" "${GMP_LIBRARIES}") list(REMOVE_DUPLICATES MPREAL_LIBRARIES) - + # Make sure it compiles with the current compiler. unset(MPREAL_WORKS CACHE) include(CheckCXXSourceCompiles) diff --git a/cmake/FindSPQR.cmake b/cmake/FindSPQR.cmake index 677c43256..83e508b04 100644 --- a/cmake/FindSPQR.cmake +++ b/cmake/FindSPQR.cmake @@ -1,7 +1,7 @@ # SPQR lib usually requires linking to a blas and lapack library. # It is up to the user of this module to find a BLAS and link to it. -# SPQR lib requires Cholmod, colamd and amd as well. +# SPQR lib requires Cholmod, colamd and amd as well. # FindCholmod.cmake can be used to find those packages before finding spqr if (SPQR_INCLUDES AND SPQR_LIBRARIES) @@ -32,7 +32,7 @@ if(SPQR_LIBRARIES) if(CHOLMOD_LIBRARY) set(SPQR_LIBRARIES ${SPQR_LIBRARIES} ${CHOLMOD_LIBRARY}) endif() - + endif() include(FindPackageHandleStandardArgs) diff --git a/cmake/FindUMFPACK.cmake b/cmake/FindUMFPACK.cmake index 91cf6372f..c61e9cdd0 100644 --- a/cmake/FindUMFPACK.cmake +++ b/cmake/FindUMFPACK.cmake @@ -28,7 +28,7 @@ if(UMFPACK_LIBRARIES) if(COLAMD_LIBRARY) set(UMFPACK_LIBRARIES ${UMFPACK_LIBRARIES} ${COLAMD_LIBRARY}) endif () - + find_library(AMD_LIBRARY amd PATHS ${UMFPACK_LIBDIR} $ENV{UMFPACKDIR} ${LIB_INSTALL_DIR}) if(AMD_LIBRARY) set(UMFPACK_LIBRARIES ${UMFPACK_LIBRARIES} ${AMD_LIBRARY}) diff --git a/debug/gdb/printers.py b/debug/gdb/printers.py index 2c3fccfa3..4a9cc3f5f 100644 --- a/debug/gdb/printers.py +++ b/debug/gdb/printers.py @@ -9,13 +9,13 @@ # file, You can obtain one at http://mozilla.org/MPL/2.0/. # Pretty printers for Eigen::Matrix -# This is still pretty basic as the python extension to gdb is still pretty basic. +# This is still pretty basic as the python extension to gdb is still pretty basic. # It cannot handle complex eigen types and it doesn't support many of the other eigen types # This code supports fixed size as well as dynamic size matrices # To use it: # -# * Create a directory and put the file as well as an empty __init__.py in +# * Create a directory and put the file as well as an empty __init__.py in # that directory. # * Create a ~/.gdbinit file, that contains the following: # python @@ -32,7 +32,7 @@ from bisect import bisect_left # Basic row/column iteration code for use with Sparse and Dense matrices class _MatrixEntryIterator(object): - + def __init__(self, rows, cols, row_major): self.rows = rows self.cols = cols @@ -52,7 +52,7 @@ class _MatrixEntryIterator(object): if self.rowMajor == 0: if self.currentCol >= self.cols: raise StopIteration - + self.currentRow += 1 if self.currentRow >= self.rows: self.currentRow = 0 @@ -60,7 +60,7 @@ class _MatrixEntryIterator(object): else: if self.currentRow >= self.rows: raise StopIteration - + self.currentCol += 1 if self.currentCol >= self.cols: self.currentCol = 0 @@ -74,10 +74,10 @@ class EigenMatrixPrinter: def __init__(self, variety, val): """Extract all the necessary information""" - + # Save the variety (presumably "Matrix" or "Array") for later usage self.variety = variety - + # The gdb extension does not support value template arguments - need to extract them by hand typeinfo = val.type if typeinfo.code == gdb.TYPE_CODE_REF: @@ -88,33 +88,33 @@ class EigenMatrixPrinter: m = regex.findall(tag)[0][1:-1] template_params = m.split(',') template_params = [x.replace(" ", "") for x in template_params] - + if template_params[1] in ['-0x00000000000000001', '-0x000000001', '-1']: self.rows = val['m_storage']['m_rows'] else: self.rows = int(template_params[1]) - + if template_params[2] in ['-0x00000000000000001', '-0x000000001', '-1']: self.cols = val['m_storage']['m_cols'] else: self.cols = int(template_params[2]) - + self.options = 0 # default value if len(template_params) > 3: self.options = template_params[3] - + self.rowMajor = (int(self.options) & 0x1) - + self.innerType = self.type.template_argument(0) - + self.val = val - + # Fixed size matrices have a struct as their storage, so we need to walk through this self.data = self.val['m_storage']['m_data'] if self.data.type.code == gdb.TYPE_CODE_STRUCT: self.data = self.data['array'] self.data = self.data.cast(self.innerType.pointer()) - + class _Iterator(_MatrixEntryIterator): def __init__(self, rows, cols, data_ptr, row_major): super(EigenMatrixPrinter._Iterator, self).__init__(rows, cols, row_major) @@ -123,7 +123,7 @@ class EigenMatrixPrinter: def __next__(self): row, col = super(EigenMatrixPrinter._Iterator, self).__next__() - + item = self.dataPtr.dereference() self.dataPtr += 1 if self.cols == 1: # if it's a column vector @@ -131,10 +131,10 @@ class EigenMatrixPrinter: elif self.rows == 1: # if it's a row vector return '[%d]' % (col,), item return '[%d,%d]' % (row, col), item - + def children(self): return self._Iterator(self.rows, self.cols, self.data, self.rowMajor) - + def to_string(self): return "Eigen::%s<%s,%d,%d,%s> (data ptr: %s)" % ( self.variety, self.innerType, self.rows, self.cols, @@ -160,11 +160,11 @@ class EigenSparseMatrixPrinter: self.options = 0 if len(template_params) > 1: self.options = template_params[1] - + self.rowMajor = (int(self.options) & 0x1) - + self.innerType = self.type.template_argument(0) - + self.val = val self.data = self.val['m_data'] @@ -175,10 +175,10 @@ class EigenSparseMatrixPrinter: super(EigenSparseMatrixPrinter._Iterator, self).__init__(rows, cols, row_major) self.val = val - + def __next__(self): row, col = super(EigenSparseMatrixPrinter._Iterator, self).__next__() - + # repeat calculations from SparseMatrix.h: outer = row if self.rowMajor else col inner = col if self.rowMajor else row @@ -233,7 +233,7 @@ class EigenSparseMatrixPrinter: class EigenQuaternionPrinter: """Print an Eigen Quaternion""" - + def __init__(self, val): """Extract all the necessary information""" # The gdb extension does not support value template arguments - need to extract them by hand @@ -243,38 +243,38 @@ class EigenQuaternionPrinter: self.type = typeinfo.unqualified().strip_typedefs() self.innerType = self.type.template_argument(0) self.val = val - + # Quaternions have a struct as their storage, so we need to walk through this self.data = self.val['m_coeffs']['m_storage']['m_data']['array'] self.data = self.data.cast(self.innerType.pointer()) - + class _Iterator: def __init__(self, data_ptr): self.dataPtr = data_ptr self.currentElement = 0 self.elementNames = ['x', 'y', 'z', 'w'] - + def __iter__(self): return self - + def next(self): return self.__next__() # Python 2.x compatibility def __next__(self): element = self.currentElement - + if self.currentElement >= 4: # there are 4 elements in a quaternion raise StopIteration - + self.currentElement += 1 - + item = self.dataPtr.dereference() self.dataPtr += 1 return '[%s]' % (self.elementNames[element],), item - + def children(self): return self._Iterator(self.data) - + def to_string(self): return "Eigen::Quaternion<%s> (data ptr: %s)" % (self.innerType, self.data) @@ -314,22 +314,22 @@ def register_eigen_printers(obj): def lookup_function(val): """Look-up and return a pretty-printer that can print val.""" - + typeinfo = val.type - + if typeinfo.code == gdb.TYPE_CODE_REF: typeinfo = typeinfo.target() - + typeinfo = typeinfo.unqualified().strip_typedefs() - + typename = typeinfo.tag if typename is None: return None - + for function in pretty_printers_dict: if function.search(typename): return pretty_printers_dict[function](val) - + return None diff --git a/doc/AsciiQuickReference.txt b/doc/AsciiQuickReference.txt index 0256c813a..712e25e2c 100644 --- a/doc/AsciiQuickReference.txt +++ b/doc/AsciiQuickReference.txt @@ -11,7 +11,7 @@ Matrix3f P, Q, R; // 3x3 float matrix. Vector3f x, y, z; // 3x1 float matrix. RowVector3f a, b, c; // 1x3 float matrix. VectorXd v; // Dynamic column vector of doubles -double s; +double s; // Basic usage // Eigen // Matlab // comments @@ -25,7 +25,7 @@ A.resize(4, 4); // Runtime error if assertions are on. B.resize(4, 9); // Runtime error if assertions are on. A.resize(3, 3); // Ok; size didn't change. B.resize(3, 9); // Ok; only dynamic cols changed. - + A << 1, 2, 3, // Initialize A. The elements can also be 4, 5, 6, // matrices, which are stacked along cols 7, 8, 9; // and then the rows are stacked. diff --git a/doc/ClassHierarchy.dox b/doc/ClassHierarchy.dox index 468e60a76..fa177c4fa 100644 --- a/doc/ClassHierarchy.dox +++ b/doc/ClassHierarchy.dox @@ -28,12 +28,12 @@ types. These are the classes that you need to know about if you want to write functions that accept or return Eigen objects. - - Matrix means plain dense matrix. If \c m is a \c %Matrix, then, for instance, \c m+m is no longer a + - Matrix means plain dense matrix. If \c m is a \c %Matrix, then, for instance, \c m+m is no longer a \c %Matrix, it is a "matrix expression". - MatrixBase means dense matrix expression. This means that a \c %MatrixBase is something that can be - added, matrix-multiplied, LU-decomposed, QR-decomposed... All matrix expression classes, including + added, matrix-multiplied, LU-decomposed, QR-decomposed... All matrix expression classes, including \c %Matrix itself, inherit \c %MatrixBase. - - Array means plain dense array. If \c x is an \c %Array, then, for instance, \c x+x is no longer an + - Array means plain dense array. If \c x is an \c %Array, then, for instance, \c x+x is no longer an \c %Array, it is an "array expression". - ArrayBase means dense array expression. This means that an \c %ArrayBase is something that can be added, array-multiplied, and on which you can perform all sorts of array operations... All array @@ -50,15 +50,15 @@ less interesting for users of the Eigen library. - PlainObjectBase means dense (matrix or array) plain object, i.e. something that stores its own dense array of coefficients. This is where, for instance, the \link PlainObjectBase::resize() resize() \endlink - methods go. \c %PlainObjectBase is inherited by \c %Matrix and by \c %Array. But above, we said that + methods go. \c %PlainObjectBase is inherited by \c %Matrix and by \c %Array. But above, we said that \c %Matrix inherits \c %MatrixBase and \c %Array inherits \c %ArrayBase. So does that mean multiple inheritance? No, because \c %PlainObjectBase \e itself inherits \c %MatrixBase or \c %ArrayBase depending - on whether we are in the matrix or array case. When we said above that \c %Matrix inherited + on whether we are in the matrix or array case. When we said above that \c %Matrix inherited \c %MatrixBase, we omitted to say it does so indirectly via \c %PlainObjectBase. Same for \c %Array. - DenseCoeffsBase means something that has dense coefficient accessors. It is a base class for \c %DenseBase. The reason for \c %DenseCoeffsBase to exist is that the set of available coefficient accessors is very different depending on whether a dense expression has direct memory access or not (the - \c DirectAccessBit flag). For example, if \c x is a plain matrix, then \c x has direct access, and + \c DirectAccessBit flag). For example, if \c x is a plain matrix, then \c x has direct access, and \c x.transpose() and \c x.block(...) also have direct access, because their coefficients can be read right off memory, but for example, \c x+x does not have direct memory access, because obtaining any of its coefficients requires a computation (an addition), it can't be just read off memory. diff --git a/doc/CustomizingEigen_InheritingMatrix.dox b/doc/CustomizingEigen_InheritingMatrix.dox index b21e55433..dad283b10 100644 --- a/doc/CustomizingEigen_InheritingMatrix.dox +++ b/doc/CustomizingEigen_InheritingMatrix.dox @@ -7,7 +7,7 @@ EIGEN_MATRIX_PLUGIN is not what you really want (see previous section). If you just need to add few members to Matrix, this is the way to go. An example of when you actually need to inherit Matrix, is when you -have several layers of heritage such as +have several layers of heritage such as MyVerySpecificVector1, MyVerySpecificVector2 -> MyVector1 -> Matrix and MyVerySpecificVector3, MyVerySpecificVector4 -> MyVector2 -> Matrix. @@ -23,7 +23,7 @@ Output: \verbinclude CustomizingEigen_Inheritance.out This is the kind of error you can get if you don't provide those methods \verbatim error: no match for ‘operator=’ in ‘v = Eigen::operator*( -const Eigen::MatrixBase >::Scalar&, +const Eigen::MatrixBase >::Scalar&, const Eigen::MatrixBase >::StorageBaseType&) (((const Eigen::MatrixBase >::StorageBaseType&) ((const Eigen::MatrixBase >::StorageBaseType*)(& v))))’ diff --git a/doc/FunctionsTakingEigenTypes.dox b/doc/FunctionsTakingEigenTypes.dox index 3e745462c..99b214707 100644 --- a/doc/FunctionsTakingEigenTypes.dox +++ b/doc/FunctionsTakingEigenTypes.dox @@ -149,7 +149,7 @@ When trying to execute the following code MatrixXf C = MatrixXf::Zero(3,6); cov(x,y, C.block(0,0,3,3)); \endcode -the compiler will fail, because it is not possible to convert the expression returned by \c MatrixXf::block() into a non-const \c MatrixXf&. This is the case because the compiler wants to protect you from writing your result to a temporary object. In this special case this protection is not intended -- we want to write to a temporary object. So how can we overcome this problem? +the compiler will fail, because it is not possible to convert the expression returned by \c MatrixXf::block() into a non-const \c MatrixXf&. This is the case because the compiler wants to protect you from writing your result to a temporary object. In this special case this protection is not intended -- we want to write to a temporary object. So how can we overcome this problem? The solution which is preferred at the moment is based on a little \em hack. One needs to pass a const reference to the matrix and internally the constness needs to be cast away. The correct implementation for C98 compliant compilers would be \code @@ -197,7 +197,7 @@ void cov(const MatrixBase& x, const MatrixBase& y, MatrixBase< const RowVectorType y_mean = y.colwise().sum() / num_observations; MatrixBase& C = const_cast< MatrixBase& >(C_); - + C.derived().resize(x.cols(),x.cols()); // resize the derived object C = (x.rowwise() - x_mean).transpose() * (y.rowwise() - y_mean) / num_observations; } diff --git a/doc/HiPerformance.dox b/doc/HiPerformance.dox index 9cee3351c..899973728 100644 --- a/doc/HiPerformance.dox +++ b/doc/HiPerformance.dox @@ -57,7 +57,7 @@ temp = m2 * m3; m1 += temp; \endcode \code m1.noalias() += m2 * m3; \endcode -Use .noalias() to tell Eigen the result and right-hand-sides do not alias. +Use .noalias() to tell Eigen the result and right-hand-sides do not alias. Otherwise the product m2 * m3 is evaluated into a temporary. diff --git a/doc/LeastSquares.dox b/doc/LeastSquares.dox index 1708a7325..3ccdb71f4 100644 --- a/doc/LeastSquares.dox +++ b/doc/LeastSquares.dox @@ -31,7 +31,7 @@ computing least squares solutions: This is example from the page \link TutorialLinearAlgebra Linear algebra and decompositions \endlink. If you just need to solve the least squares problem, but are not interested in the SVD per se, a -faster alternative method is CompleteOrthogonalDecomposition. +faster alternative method is CompleteOrthogonalDecomposition. \section LeastSquaresQR Using the QR decomposition diff --git a/doc/NewExpressionType.dox b/doc/NewExpressionType.dox index acc8cc78d..3cbe33d7d 100644 --- a/doc/NewExpressionType.dox +++ b/doc/NewExpressionType.dox @@ -25,8 +25,8 @@ vectorization etc., and refer to that page here. A circulant matrix is a matrix where each column is the same as the column to the left, except that it is cyclically shifted downwards. For example, here is a 4-by-4 circulant matrix: -\f[ \begin{bmatrix} - 1 & 8 & 4 & 2 \\ +\f[ \begin{bmatrix} + 1 & 8 & 4 & 2 \\ 2 & 1 & 8 & 4 \\ 4 & 2 & 1 & 8 \\ 8 & 4 & 2 & 1 @@ -56,7 +56,7 @@ to the \c makeCirculant function. \section TopicTraits The traits class -For every expression class \c X, there should be a traits class +For every expression class \c X, there should be a traits class \c Traits in the \c Eigen::internal namespace containing information about \c X known as compile time. @@ -113,7 +113,7 @@ which the circulant matrix is constructed. In the constructor, we save the evaluator for the column vector which defined the circulant matrix. We also save the size of that vector; remember that we can query an expression object to find the size but -not the evaluator. +not the evaluator. \include make_circulant.cpp.evaluator diff --git a/doc/Pitfalls.dox b/doc/Pitfalls.dox index 85282bd6f..24164b257 100644 --- a/doc/Pitfalls.dox +++ b/doc/Pitfalls.dox @@ -129,7 +129,7 @@ There are at least two ways around this: The current behaviour of using \c Matrix with boolean coefficients is inconsistent and likely to change in future versions of Eigen, so please use it carefully! -A simple example for such an inconsistency is +A simple example for such an inconsistency is \code template diff --git a/doc/PreprocessorDirectives.dox b/doc/PreprocessorDirectives.dox index 27ae531f6..b7b767666 100644 --- a/doc/PreprocessorDirectives.dox +++ b/doc/PreprocessorDirectives.dox @@ -44,7 +44,7 @@ are doing. preferable. Not defined by default. \warning See the documentation of \c EIGEN_INITIALIZE_MATRICES_BY_ZERO for a discussion on a limitations of these macros when applied to \c 1x1, \c 1x2, and \c 2x1 fixed-size matrices. - - \b EIGEN_NO_AUTOMATIC_RESIZING - if defined, the matrices (or arrays) on both sides of an assignment + - \b EIGEN_NO_AUTOMATIC_RESIZING - if defined, the matrices (or arrays) on both sides of an assignment a = b have to be of the same size; otherwise, %Eigen automatically resizes \c a so that it is of the correct size. Not defined by default. @@ -72,8 +72,8 @@ The %Eigen library contains many assertions to guard against programming errors, run time. However, these assertions do cost time and can thus be turned off. - \b EIGEN_NO_DEBUG - disables %Eigen's assertions if defined. Not defined by default, unless the - \c NDEBUG macro is defined (this is a standard C++ macro which disables all asserts). - - \b EIGEN_NO_STATIC_ASSERT - if defined, compile-time static assertions are replaced by runtime assertions; + \c NDEBUG macro is defined (this is a standard C++ macro which disables all asserts). + - \b EIGEN_NO_STATIC_ASSERT - if defined, compile-time static assertions are replaced by runtime assertions; this saves compilation time. Not defined by default. - \b eigen_assert - macro with one argument that is used inside %Eigen for assertions. By default, it is basically defined to be \c assert, which aborts the program if the assertion is violated. Redefine this @@ -90,7 +90,7 @@ run time. However, these assertions do cost time and can thus be turned off. Let us emphasize that \c EIGEN_MAX_*_ALIGN_BYTES define only a desirable upper bound. In practice data is aligned to largest power-of-two common divisor of \c EIGEN_MAX_STATIC_ALIGN_BYTES and the size of the data, such that memory is not wasted. - \b \c EIGEN_DONT_PARALLELIZE - if defined, this disables multi-threading. This is only relevant if you enabled OpenMP. See \ref TopicMultiThreading for details. - - \b \c EIGEN_DONT_VECTORIZE - disables explicit vectorization when defined. Not defined by default, unless + - \b \c EIGEN_DONT_VECTORIZE - disables explicit vectorization when defined. Not defined by default, unless alignment is disabled by %Eigen's platform test or the user defining \c EIGEN_DONT_ALIGN. - \b \c EIGEN_UNALIGNED_VECTORIZE - disables/enables vectorization with unaligned stores. Default is 1 (enabled). If set to 0 (disabled), then expression for which the destination cannot be aligned are not vectorized (e.g., unaligned diff --git a/doc/SparseLinearSystems.dox b/doc/SparseLinearSystems.dox index a82ddfed9..6e0c14d95 100644 --- a/doc/SparseLinearSystems.dox +++ b/doc/SparseLinearSystems.dox @@ -1,6 +1,6 @@ namespace Eigen { /** \eigenManualPage TopicSparseSystems Solving Sparse Linear Systems -In Eigen, there are several methods available to solve linear systems when the coefficient matrix is sparse. Because of the special representation of this class of matrices, special care should be taken in order to get a good performance. See \ref TutorialSparse for a detailed introduction about sparse matrices in Eigen. This page lists the sparse solvers available in Eigen. The main steps that are common to all these linear solvers are introduced as well. Depending on the properties of the matrix, the desired accuracy, the end-user is able to tune those steps in order to improve the performance of its code. Note that it is not required to know deeply what's hiding behind these steps: the last section presents a benchmark routine that can be easily used to get an insight on the performance of all the available solvers. +In Eigen, there are several methods available to solve linear systems when the coefficient matrix is sparse. Because of the special representation of this class of matrices, special care should be taken in order to get a good performance. See \ref TutorialSparse for a detailed introduction about sparse matrices in Eigen. This page lists the sparse solvers available in Eigen. The main steps that are common to all these linear solvers are introduced as well. Depending on the properties of the matrix, the desired accuracy, the end-user is able to tune those steps in order to improve the performance of its code. Note that it is not required to know deeply what's hiding behind these steps: the last section presents a benchmark routine that can be easily used to get an insight on the performance of all the available solvers. \eigenAutoToc @@ -69,7 +69,7 @@ They are summarized in the following tables: SuperLU\link SuperLUSupport_Module SuperLUSupport \endlinkDirect LU factorizationSquareFill-in reducing, Leverage fast dense algebra Requires the SuperLU library, (BSD-like) -SPQR\link SPQRSupport_Module SPQRSupport \endlink QR factorization +SPQR\link SPQRSupport_Module SPQRSupport \endlink QR factorization Any, rectangularfill-in reducing, multithreaded, fast dense algebra requires the SuiteSparse package, \b GPL recommended for linear least-squares problems, has a rank-revealing feature PardisoLLT \n PardisoLDLT \n PardisoLU\link PardisoSupport_Module PardisoSupport \endlinkDirect LLt, LDLt, LU factorizationsSPD \n SPD \n SquareFill-in reducing, Leverage fast dense algebra, Multithreading @@ -141,39 +141,39 @@ More details are available in the documentations of the respective classes. Finally, most of the iterative solvers, can also be used in a \b matrix-free context, see the following \link MatrixfreeSolverExample example \endlink. \section TheSparseCompute The Compute Step -In the `compute()` function, the matrix is generally factorized: LLT for self-adjoint matrices, LDLT for general hermitian matrices, LU for non hermitian matrices and QR for rectangular matrices. These are the results of using direct solvers. For this class of solvers precisely, the compute step is further subdivided into `analyzePattern()` and `factorize()`. +In the `compute()` function, the matrix is generally factorized: LLT for self-adjoint matrices, LDLT for general hermitian matrices, LU for non hermitian matrices and QR for rectangular matrices. These are the results of using direct solvers. For this class of solvers precisely, the compute step is further subdivided into `analyzePattern()` and `factorize()`. The goal of `analyzePattern()` is to reorder the nonzero elements of the matrix, such that the factorization step creates less fill-in. This step exploits only the structure of the matrix. Hence, the results of this step can be used for other linear systems where the matrix has the same structure. Note however that sometimes, some external solvers (like SuperLU) require that the values of the matrix are set in this step, for instance to equilibrate the rows and columns of the matrix. In this situation, the results of this step should not be used with other matrices. Eigen provides a limited set of methods to reorder the matrix in this step, either built-in (COLAMD, AMD) or external (METIS). These methods are set in template parameter list of the solver : \code DirectSolverClassName, OrderingMethod > solver; -\endcode +\endcode -See the \link OrderingMethods_Module OrderingMethods module \endlink for the list of available methods and the associated options. +See the \link OrderingMethods_Module OrderingMethods module \endlink for the list of available methods and the associated options. -In `factorize()`, the factors of the coefficient matrix are computed. This step should be called each time the values of the matrix change. However, the structural pattern of the matrix should not change between multiple calls. +In `factorize()`, the factors of the coefficient matrix are computed. This step should be called each time the values of the matrix change. However, the structural pattern of the matrix should not change between multiple calls. -For iterative solvers, the compute step is used to eventually setup a preconditioner. For instance, with the ILUT preconditioner, the incomplete factors L and U are computed in this step. Remember that, basically, the goal of the preconditioner is to speedup the convergence of an iterative method by solving a modified linear system where the coefficient matrix has more clustered eigenvalues. For real problems, an iterative solver should always be used with a preconditioner. In Eigen, a preconditioner is selected by simply adding it as a template parameter to the iterative solver object. +For iterative solvers, the compute step is used to eventually setup a preconditioner. For instance, with the ILUT preconditioner, the incomplete factors L and U are computed in this step. Remember that, basically, the goal of the preconditioner is to speedup the convergence of an iterative method by solving a modified linear system where the coefficient matrix has more clustered eigenvalues. For real problems, an iterative solver should always be used with a preconditioner. In Eigen, a preconditioner is selected by simply adding it as a template parameter to the iterative solver object. \code -IterativeSolverClassName, PreconditionerName > solver; +IterativeSolverClassName, PreconditionerName > solver; \endcode -The member function `preconditioner()` returns a read-write reference to the preconditioner +The member function `preconditioner()` returns a read-write reference to the preconditioner to directly interact with it. See the \link IterativeLinearSolvers_Module Iterative solvers module \endlink and the documentation of each class for the list of available methods. \section TheSparseSolve The Solve step The `solve()` function computes the solution of the linear systems with one or many right hand sides. \code X = solver.solve(B); -\endcode -Here, B can be a vector or a matrix where the columns form the different right hand sides. `The solve()` function can be called several times as well, for instance when all the right hand sides are not available at once. +\endcode +Here, B can be a vector or a matrix where the columns form the different right hand sides. `The solve()` function can be called several times as well, for instance when all the right hand sides are not available at once. \code x1 = solver.solve(b1); // Get the second right hand side b2 -x2 = solver.solve(b2); +x2 = solver.solve(b2); // ... \endcode -For direct methods, the solution are computed at the machine precision. Sometimes, the solution need not be too accurate. In this case, the iterative methods are more suitable and the desired accuracy can be set before the solve step using \b setTolerance(). For all the available functions, please, refer to the documentation of the \link IterativeLinearSolvers_Module Iterative solvers module \endlink. +For direct methods, the solution are computed at the machine precision. Sometimes, the solution need not be too accurate. In this case, the iterative methods are more suitable and the desired accuracy can be set before the solve step using \b setTolerance(). For all the available functions, please, refer to the documentation of the \link IterativeLinearSolvers_Module Iterative solvers module \endlink. \section BenchmarkRoutine Most of the time, all you need is to know how much time it will take to solve your system, and hopefully, what is the most suitable solver. In Eigen, we provide a benchmark routine that can be used for this purpose. It is very easy to use. In the build directory, navigate to `bench/spbench` and compile the routine by typing `make spbenchsolver`. Run it with `--help` option to get the list of all available options. Basically, the matrices to test should be in MatrixMarket Coordinate format, and the routine returns the statistics from all available solvers in Eigen. @@ -187,7 +187,7 @@ Eigen::saveMarket(A, "filename_SPD.mtx", Eigen::Symmetric); // if A is symmetric Eigen::saveMarketVector(B, "filename_b.mtx"); \endcode -The following table gives an example of XML statistics from several Eigen built-in and external solvers. +The following table gives an example of XML statistics from several Eigen built-in and external solvers.
Matrix N NNZ UMFPACK SUPERLU PASTIX LU BiCGSTAB BiCGSTAB+ILUT GMRES+ILUT LDLT CHOLMOD LDLT PASTIX LDLT LLT CHOLMOD SP LLT CHOLMOD LLT PASTIX LLT CG
vector_graphics 12855 72069 Compute Time 0.02545490.02156770.07018270.0001533880.01401070.01537090.01016010.009305020.0649689 @@ -197,15 +197,15 @@ The following table gives an example of XML statistics from several Eigen built-
poisson_SPD 19788 308232 Compute Time 0.4250261.823780.6173670.0004789211.340011.334710.7964190.8575730.4730070.8148260.1847190.8615550.4705590.000458188
Solve Time 0.02800530.01944020.02687470.2494370.05484440.09269910.008502040.00531710.02589320.008746030.005781550.005303610.02489420.239093
Total Time 0.4530311.843220.6442410.2499161.394861.427410.8049210.8628910.49890.8235720.1905010.8668590.4954530.239551 -
Error(Iter) 4.67146e-16 1.068e-15 1.3397e-15 6.29233e-11 (201) 3.68527e-11 (6) 3.3168e-15 (16) 1.86376e-15 1.31518e-16 1.42593e-15 3.45361e-15 3.14575e-16 2.21723e-15 7.21058e-16 9.06435e-12 (261) +
Error(Iter) 4.67146e-16 1.068e-15 1.3397e-15 6.29233e-11 (201) 3.68527e-11 (6) 3.3168e-15 (16) 1.86376e-15 1.31518e-16 1.42593e-15 3.45361e-15 3.14575e-16 2.21723e-15 7.21058e-16 9.06435e-12 (261)
sherman2 1080 23094 Compute Time 0.006317540.0150520.0247514 -0.02144250.0217988
Solve Time 0.0004784240.0003379980.0010291 -0.002431520.00246152
Total Time 0.006795970.015390.0257805 -0.0238740.0242603 -
Error(Iter) 1.83099e-15 8.19351e-15 2.625e-14 1.3678e+69 (1080) 4.1911e-12 (7) 5.0299e-13 (12) +
Error(Iter) 1.83099e-15 8.19351e-15 2.625e-14 1.3678e+69 (1080) 4.1911e-12 (7) 5.0299e-13 (12)
bcsstk01_SPD 48 400 Compute Time 0.0001690790.000107890.0005725381.425e-069.1612e-058.3985e-055.6489e-057.0913e-050.0004682515.7389e-058.0212e-055.8394e-050.0004630171.333e-06
Solve Time 1.2288e-051.1124e-050.0002863878.5896e-051.6381e-051.6984e-053.095e-064.115e-060.0003254383.504e-067.369e-063.454e-060.0002940956.0516e-05
Total Time 0.0001813670.0001190140.0008589258.7321e-050.0001079930.0001009695.9584e-057.5028e-050.0007936896.0893e-058.7581e-056.1848e-050.0007571126.1849e-05 -
Error(Iter) 1.03474e-16 2.23046e-16 2.01273e-16 4.87455e-07 (48) 1.03553e-16 (2) 3.55965e-16 (2) 2.48189e-16 1.88808e-16 1.97976e-16 2.37248e-16 1.82701e-16 2.71474e-16 2.11322e-16 3.547e-09 (48) +
Error(Iter) 1.03474e-16 2.23046e-16 2.01273e-16 4.87455e-07 (48) 1.03553e-16 (2) 3.55965e-16 (2) 2.48189e-16 1.88808e-16 1.97976e-16 2.37248e-16 1.82701e-16 2.71474e-16 2.11322e-16 3.547e-09 (48)
sherman1 1000 3750 Compute Time 0.002288050.002092310.005282689.846e-060.001635220.001621550.0007892590.0008044950.00438269
Solve Time 0.0002137889.7983e-050.0009388310.006298350.0003617640.000787944.3989e-052.5331e-050.000917166
Total Time 0.002501840.002190290.006221510.00630820.001996980.002409490.0008332480.0008298260.00529986 @@ -213,7 +213,7 @@ The following table gives an example of XML statistics from several Eigen built-
young1c 841 4089 Compute Time 0.002358430.002172280.005680751.2735e-050.002648660.00258236
Solve Time 0.0003295990.0001686340.000801180.05347380.001871930.00450211
Total Time 0.002688030.002340910.006481930.05348650.004520590.00708447 -
Error(Iter) 1.27029e-16 2.81321e-16 5.0492e-15 8.0507e-11 (706) 3.00447e-12 (8) 1.46532e-12 (16) +
Error(Iter) 1.27029e-16 2.81321e-16 5.0492e-15 8.0507e-11 (706) 3.00447e-12 (8) 1.46532e-12 (16)
mhd1280b 1280 22778 Compute Time 0.002348980.002070790.005709182.5976e-050.003025630.002980360.001445250.0009199220.00426444
Solve Time 0.001033920.0002119110.001050.01104320.0006282870.003920890.0001383036.2446e-050.00097564
Total Time 0.00338290.00228270.006759180.01106920.003653920.006901240.001583550.0009823680.00524008 @@ -221,7 +221,7 @@ The following table gives an example of XML statistics from several Eigen built-
crashbasis 160000 1750416 Compute Time 3.20195.789215.75730.003835153.10063.09921
Solve Time 0.2619150.1062250.4021411.490890.248880.443673
Total Time 3.463815.8954216.15941.494733.349483.54288 -
Error(Iter) 1.76348e-16 4.58395e-16 1.67982e-14 8.64144e-11 (61) 8.5996e-12 (2) 6.04042e-14 (5) +
Error(Iter) 1.76348e-16 4.58395e-16 1.67982e-14 8.64144e-11 (61) 8.5996e-12 (2) 6.04042e-14 (5)
*/ diff --git a/doc/SparseQuickReference.dox b/doc/SparseQuickReference.dox index b8eac8d0e..39f613e27 100644 --- a/doc/SparseQuickReference.dox +++ b/doc/SparseQuickReference.dox @@ -4,8 +4,8 @@ namespace Eigen {
-In this page, we give a quick summary of the main operations available for sparse matrices in the class SparseMatrix. First, it is recommended to read the introductory tutorial at \ref TutorialSparse. The important point to have in mind when working on sparse matrices is how they are stored : -i.e either row major or column major. The default is column major. Most arithmetic operations on sparse matrices will assert that they have the same storage order. +In this page, we give a quick summary of the main operations available for sparse matrices in the class SparseMatrix. First, it is recommended to read the introductory tutorial at \ref TutorialSparse. The important point to have in mind when working on sparse matrices is how they are stored : +i.e either row major or column major. The default is column major. Most arithmetic operations on sparse matrices will assert that they have the same storage order. \section SparseMatrixInit Sparse Matrix Initialization @@ -13,29 +13,29 @@ i.e either row major or column major. The default is column major. Most arithmet - - + - @@ -43,9 +43,9 @@ i.e either row major or column major. The default is column major. Most arithmet - + - + - - - - - - - - - -
Constructor \code - SparseMatrix sm1(1000,1000); + SparseMatrix sm1(1000,1000); SparseMatrix,RowMajor> sm2; \endcode Default is ColMajor
Resize/Reserve + \code sm1.resize(m,n); // Change sm1 to a m x n matrix. - sm1.reserve(nnz); // Allocate room for nnz nonzeros elements. - \endcode + sm1.reserve(nnz); // Allocate room for nnz nonzeros elements. + \endcode Note that when calling reserve(), it is not required that nnz is the exact number of nonzero elements in the final matrix. However, an exact estimation will avoid multiple reallocations during the insertion phase.
Assignment -\code + +\code SparseMatrix sm1; // Initialize sm2 with sm1. - SparseMatrix sm2(sm1), sm3; + SparseMatrix sm2(sm1), sm3; // Assignment and evaluations modify the storage order. - sm3 = sm1; + sm3 = sm1; \endcode The copy constructor can be used to convert from a storage order to another
Element-wise Insertion -\code -// Insert a new element; - sm1.insert(i, j) = v_ij; +\code +// Insert a new element; + sm1.insert(i, j) = v_ij; // Update the value v_ij sm1.coeffRef(i,j) = v_ij; @@ -55,7 +55,7 @@ i.e either row major or column major. The default is column major. Most arithmet insert() assumes that the element does not already exist; otherwise, use coeffRef()
Batch insertion \code @@ -67,7 +67,7 @@ i.e either row major or column major. The default is column major. Most arithmet A complete example is available at \link TutorialSparseFilling Triplet Insertion \endlink.
Constant or Random Insertion \code @@ -80,13 +80,13 @@ sm1.setZero(); \section SparseBasicInfos Matrix properties -Beyond the basic functions rows() and cols(), there are some useful functions that are available to easily get some information from the matrix. +Beyond the basic functions rows() and cols(), there are some useful functions that are available to easily get some information from the matrix. - + - + - + @@ -146,18 +146,18 @@ It is easy to perform arithmetic operations on sparse matrices provided that the - + - - @@ -165,7 +165,7 @@ sm2 = perm * sm1; // Permute the columns - - - - - diff --git a/doc/StlContainers.dox b/doc/StlContainers.dox index 0342573d0..b2faa68d1 100644 --- a/doc/StlContainers.dox +++ b/doc/StlContainers.dox @@ -27,7 +27,7 @@ std::map \endcode you need to use \code -std::map, +std::map, Eigen::aligned_allocator > > \endcode Note that the third parameter `std::less` is just the default value, but we have to include it because we want to specify the fourth parameter, which is the allocator type. @@ -53,7 +53,7 @@ In order to avoid that, the only solution we saw was to specialize `std::vector` \subsection vector_spec An alternative - specializing std::vector for Eigen types -As an alternative to the recommended approach described above, you have the option to specialize std::vector for Eigen types requiring alignment. +As an alternative to the recommended approach described above, you have the option to specialize std::vector for Eigen types requiring alignment. The advantage is that you won't need to declare std::vector all over with Eigen::aligned_allocator. One drawback on the other hand side is that the specialization needs to be defined before all code pieces in which e.g. `std::vector` is used. Otherwise, without knowing the specialization the compiler will compile that particular instance with the default `std::allocator` and you program is most likely to crash. diff --git a/doc/StorageOrders.dox b/doc/StorageOrders.dox index 61645313e..53a918e9f 100644 --- a/doc/StorageOrders.dox +++ b/doc/StorageOrders.dox @@ -53,7 +53,7 @@ The storage order of a matrix or a two-dimensional array can be set by specifyin parameter for Matrix or Array. As \ref TutorialMatrixClass explains, the %Matrix class template has six template parameters, of which three are compulsory (\c Scalar, \c RowsAtCompileTime and \c ColsAtCompileTime) and three are optional (\c Options, \c MaxRowsAtCompileTime and \c MaxColsAtCompileTime). If the \c Options -parameter is set to \c RowMajor, then the matrix or array is stored in row-major order; if it is set to +parameter is set to \c RowMajor, then the matrix or array is stored in row-major order; if it is set to \c ColMajor, then it is stored in column-major order. This mechanism is used in the above Eigen program to specify the storage order. diff --git a/doc/TemplateKeyword.dox b/doc/TemplateKeyword.dox index fbf2c7081..837d7c907 100644 --- a/doc/TemplateKeyword.dox +++ b/doc/TemplateKeyword.dox @@ -50,7 +50,7 @@ matrices with double-precision numbers. Second, if you use an expression such as mat.topLeftCorner(3,3) as the parameter \c src, then this is copied into a temporary variable of type MatrixXf; this copy can be avoided. -As explained in \ref TopicFunctionTakingEigenTypes, both issues can be resolved by making +As explained in \ref TopicFunctionTakingEigenTypes, both issues can be resolved by making \c copyUpperTriangularPart() accept any object of type MatrixBase. This leads to the following code:
\code sm1.rows(); // Number of rows - sm1.cols(); // Number of columns - sm1.nonZeros(); // Number of non zero values + sm1.cols(); // Number of columns + sm1.nonZeros(); // Number of non zero values sm1.outerSize(); // Number of columns (resp. rows) for a column major (resp. row major ) sm1.innerSize(); // Number of rows (resp. columns) for a row major (resp. column major) sm1.norm(); // Euclidean norm of the matrix @@ -105,21 +105,21 @@ It is easy to perform arithmetic operations on sparse matrices provided that the
Operations Code Notes
add subtract add subtract \code - sm3 = sm1 + sm2; + sm3 = sm1 + sm2; sm3 = sm1 - sm2; - sm2 += sm1; + sm2 += sm1; sm2 -= sm1; \endcode + sm1 and sm2 should have the same storage order -
scalar product\code - sm3 = sm1 * s1; sm3 *= s1; + sm3 = sm1 * s1; sm3 *= s1; sm3 = s1 * sm1 + s2 * sm2; sm3 /= s1;\endcode @@ -135,7 +135,7 @@ It is easy to perform arithmetic operations on sparse matrices provided that the \endcode
transposition, adjoint Note that the transposition change the storage order. There is no support for transposeInPlace().
Permutation -\code + +\code perm.indices(); // Reference to the vector of indices sm1.twistedBy(perm); // Permute rows and columns sm2 = sm1 * perm; // Permute the rows sm2 = perm * sm1; // Permute the columns -\endcode +\endcode +
Component-wise ops \code + \code sm1.cwiseProduct(sm2); sm1.cwiseQuotient(sm2); sm1.cwiseMin(sm2); @@ -185,11 +185,11 @@ sm2 = perm * sm1; // Permute the columns
Code Notes
Sub-matrices
-\code - sm1.block(startRow, startCol, rows, cols); - sm1.block(startRow, startCol); - sm1.topLeftCorner(rows, cols); + +\code + sm1.block(startRow, startCol, rows, cols); + sm1.block(startRow, startCol); + sm1.topLeftCorner(rows, cols); sm1.topRightCorner(rows, cols); sm1.bottomLeftCorner( rows, cols); sm1.bottomRightCorner( rows, cols); @@ -201,8 +201,8 @@ See \ref TutorialSparse_SubMatrices and below for read-write sub-matrices.
Range
-\code + +\code sm1.innerVector(outer); // RW sm1.innerVectors(start, size); // RW sm1.leftCols(size); // RW @@ -219,24 +219,24 @@ As stated earlier, for a read-write sub-matrix (RW), the evaluation can be done
Triangular and selfadjoint views
+ \code sm2 = sm1.triangularview(); sm2 = sm1.selfadjointview(); \endcode Several combination between triangular views and blocks views are possible -\code +\code \endcode
Triangular solve
-\code + +\code dv2 = sm1.triangularView().solve(dv1); dv2 = sm1.topLeftCorner(size, size) .triangularView().solve(dv1); -\endcode +\endcode For general sparse solve, Use any suitable module described at \ref TopicSparseSystems
@@ -86,7 +86,7 @@ The precise rules are rather complicated, but ignoring some subtleties we can su example, \c dst is a dependent name because it is of type MatrixBase<Derived1> which depends on the template parameter \c Derived1. - If the code contains either one of the constructs xxx.yyy or xxx->yyy and \c xxx is a - dependent name and \c yyy refers to a member template, then the \c template keyword must be used before + dependent name and \c yyy refers to a member template, then the \c template keyword must be used before \c yyy, leading to xxx.template yyy or xxx->template yyy. - If the code contains the construct xxx::yyy and \c xxx is a dependent name and \c yyy refers to a member typedef, then the \c typename keyword must be used before the whole construct, leading to diff --git a/doc/TopicAliasing.dox b/doc/TopicAliasing.dox index a8f164428..00a712996 100644 --- a/doc/TopicAliasing.dox +++ b/doc/TopicAliasing.dox @@ -32,7 +32,7 @@ This assignment exhibits aliasing: the coefficient \c mat(1,1) appears both in t mat.bottomRightCorner(2,2) on the left-hand side of the assignment and the block mat.topLeftCorner(2,2) on the right-hand side. After the assignment, the (2,2) entry in the bottom right corner should have the value of \c mat(1,1) before the assignment, which is 5. However, the output shows -that \c mat(2,2) is actually 1. The problem is that %Eigen uses lazy evaluation (see +that \c mat(2,2) is actually 1. The problem is that %Eigen uses lazy evaluation (see \ref TopicEigenExpressionTemplates) for mat.topLeftCorner(2,2). The result is similar to \code mat(1,1) = mat(0,0); @@ -64,9 +64,9 @@ Again, the output shows the aliasing issue. However, by default %Eigen uses a ru and exits with a message like \verbatim -void Eigen::DenseBase::checkTransposeAliasing(const OtherDerived&) const -[with OtherDerived = Eigen::Transpose >, Derived = Eigen::Matrix]: -Assertion `(!internal::check_transpose_aliasing_selector::IsTransposed,OtherDerived>::run(internal::extract_data(derived()), other)) +void Eigen::DenseBase::checkTransposeAliasing(const OtherDerived&) const +[with OtherDerived = Eigen::Transpose >, Derived = Eigen::Matrix]: +Assertion `(!internal::check_transpose_aliasing_selector::IsTransposed,OtherDerived>::run(internal::extract_data(derived()), other)) && "aliasing detected during transposition, use transposeInPlace() or evaluate the rhs into a temporary using .eval()"' failed. \endverbatim @@ -94,10 +94,10 @@ For example, here is the corrected version of the first example above: Now, \c mat(2,2) equals 5 after the assignment, as it should be. -The same solution also works for the second example, with the transpose: simply replace the line +The same solution also works for the second example, with the transpose: simply replace the line a = a.transpose(); with a = a.transpose().eval();. However, in this common case there is a -better solution. %Eigen provides the special-purpose function -\link DenseBase::transposeInPlace() transposeInPlace() \endlink which replaces a matrix by its transpose. +better solution. %Eigen provides the special-purpose function +\link DenseBase::transposeInPlace() transposeInPlace() \endlink which replaces a matrix by its transpose. This is shown below:
@@ -111,7 +111,7 @@ This is shown below: If an xxxInPlace() function is available, then it is best to use it, because it indicates more clearly what you are doing. This may also allow %Eigen to optimize more aggressively. These are some of the xxxInPlace() -functions provided: +functions provided:
@@ -132,7 +132,7 @@ you can use \link PlainObjectBase::conservativeResize() conservativeResize() \en As explained above, it may be dangerous if the same matrix or array occurs on both the left-hand side and the right-hand side of an assignment operator, and it is then often necessary to evaluate the right-hand side explicitly. However, applying component-wise operations (such as matrix addition, scalar multiplication and -array multiplication) is safe. +array multiplication) is safe. The following example has only component-wise operations. Thus, there is no need for \link DenseBase::eval() eval() \endlink even though the same matrix appears on both sides of the assignments. diff --git a/doc/TopicMultithreading.dox b/doc/TopicMultithreading.dox index 7a8ff301f..7b1e44b8f 100644 --- a/doc/TopicMultithreading.dox +++ b/doc/TopicMultithreading.dox @@ -49,7 +49,7 @@ In the case your own application is multithreaded, and multiple threads make cal int main(int argc, char** argv) { Eigen::initParallel(); - + ... } \endcode diff --git a/doc/TutorialAdvancedInitialization.dox b/doc/TutorialAdvancedInitialization.dox index 50374d0d0..d27730db6 100644 --- a/doc/TutorialAdvancedInitialization.dox +++ b/doc/TutorialAdvancedInitialization.dox @@ -100,7 +100,7 @@ with angles in degrees, the corresponding angle in radians, and their sine and c
Original functionIn-place function
This example shows that objects like the ones returned by LinSpaced() can be assigned to variables (and -expressions). Eigen defines utility functions like \link DenseBase::setZero() setZero()\endlink, +expressions). Eigen defines utility functions like \link DenseBase::setZero() setZero()\endlink, \link MatrixBase::setIdentity() \endlink and \link DenseBase::setLinSpaced() \endlink to do this conveniently. The following example contrasts three ways to construct the matrix \f$ J = \bigl[ \begin{smallmatrix} O & I \\ I & O \end{smallmatrix} \bigr] \f$: using static methods and @@ -141,7 +141,7 @@ The expression m + MatrixXf::Constant(3,3,1.2) constructs the 3-by-3 ma equal to 1.2 plus the corresponding coefficient of \a m. The comma-initializer, too, can also be used to construct temporary objects. The following example constructs a random -matrix of size 2-by-3, and then multiplies this matrix on the left with +matrix of size 2-by-3, and then multiplies this matrix on the left with \f$ \bigl[ \begin{smallmatrix} 0 & 1 \\ 1 & 0 \end{smallmatrix} \bigr] \f$. diff --git a/doc/TutorialArrayClass.dox b/doc/TutorialArrayClass.dox index f6f351091..7e09dcf1d 100644 --- a/doc/TutorialArrayClass.dox +++ b/doc/TutorialArrayClass.dox @@ -6,7 +6,7 @@ This page aims to provide an overview and explanations on how to use Eigen's Array class. \eigenAutoToc - + \section TutorialArrayClassIntro What is the Array class? The Array class provides general-purpose arrays, as opposed to the Matrix class which @@ -93,7 +93,7 @@ This provides a functionality that is not directly available for Matrix objects. First of all, of course you can multiply an array by a scalar, this works in the same way as matrices. Where arrays are fundamentally different from matrices, is when you multiply two together. Matrices interpret -multiplication as matrix product and arrays interpret multiplication as coefficient-wise product. Thus, two +multiplication as matrix product and arrays interpret multiplication as coefficient-wise product. Thus, two arrays can be multiplied if and only if they have the same dimensions.
@@ -141,21 +141,21 @@ access to all operations regardless of the choice of declaring objects as arrays can be applied easily. Conversely, \link ArrayBase array expressions \endlink have a \link ArrayBase::matrix() .matrix() \endlink method. As with all Eigen expression abstractions, this doesn't have any runtime cost (provided that you let your compiler optimize). -Both \link MatrixBase::array() .array() \endlink and \link ArrayBase::matrix() .matrix() \endlink +Both \link MatrixBase::array() .array() \endlink and \link ArrayBase::matrix() .matrix() \endlink can be used as rvalues and as lvalues. Mixing matrices and arrays in an expression is forbidden with Eigen. For instance, you cannot add a matrix and array directly; the operands of a \c + operator should either both be matrices or both be arrays. However, -it is easy to convert from one to the other with \link MatrixBase::array() .array() \endlink and +it is easy to convert from one to the other with \link MatrixBase::array() .array() \endlink and \link ArrayBase::matrix() .matrix()\endlink. The exception to this rule is the assignment operator: it is allowed to assign a matrix expression to an array variable, or to assign an array expression to a matrix variable. -The following example shows how to use array operations on a Matrix object by employing the -\link MatrixBase::array() .array() \endlink method. For example, the statement +The following example shows how to use array operations on a Matrix object by employing the +\link MatrixBase::array() .array() \endlink method. For example, the statement result = m.array() * n.array() takes two matrices \c m and \c n, converts them both to an array, uses * to multiply them coefficient-wise and assigns the result to the matrix variable \c result (this is legal -because Eigen allows assigning array expressions to matrix variables). +because Eigen allows assigning array expressions to matrix variables). As a matter of fact, this usage case is so common that Eigen provides a \link MatrixBase::cwiseProduct const .cwiseProduct(.) \endlink method for matrices to compute the coefficient-wise product. This is also shown in diff --git a/doc/TutorialBlockOperations.dox b/doc/TutorialBlockOperations.dox index df277482c..d99daf409 100644 --- a/doc/TutorialBlockOperations.dox +++ b/doc/TutorialBlockOperations.dox @@ -21,7 +21,7 @@ There are two versions, whose syntax is as follows: -
%Block of size (p,q), starting at (i,j) \code matrix.block(i,j,p,q);\endcode \code + \code matrix.block(i,j);\endcode
@@ -115,70 +115,70 @@ The different possibilities are summarized in the following table:
Top-left p by q block \link DenseBase::topLeftCorner() * \endlink \code matrix.topLeftCorner(p,q);\endcode \code + \code matrix.topLeftCorner();\endcode
Bottom-left p by q block \link DenseBase::bottomLeftCorner() * \endlink \code matrix.bottomLeftCorner(p,q);\endcode \code + \code matrix.bottomLeftCorner();\endcode
Top-right p by q block \link DenseBase::topRightCorner() * \endlink \code matrix.topRightCorner(p,q);\endcode \code + \code matrix.topRightCorner();\endcode
Bottom-right p by q block \link DenseBase::bottomRightCorner() * \endlink \code matrix.bottomRightCorner(p,q);\endcode \code + \code matrix.bottomRightCorner();\endcode
%Block containing the first q rows \link DenseBase::topRows() * \endlink \code matrix.topRows(q);\endcode \code + \code matrix.topRows();\endcode
%Block containing the last q rows \link DenseBase::bottomRows() * \endlink \code matrix.bottomRows(q);\endcode \code + \code matrix.bottomRows();\endcode
%Block containing the first p columns \link DenseBase::leftCols() * \endlink \code matrix.leftCols(p);\endcode \code + \code matrix.leftCols

();\endcode

%Block containing the last q columns \link DenseBase::rightCols() * \endlink \code matrix.rightCols(q);\endcode \code + \code matrix.rightCols();\endcode
%Block containing the q columns starting from i \link DenseBase::middleCols() * \endlink \code matrix.middleCols(i,q);\endcode \code + \code matrix.middleCols(i);\endcode
%Block containing the q rows starting from i \link DenseBase::middleRows() * \endlink \code matrix.middleRows(i,q);\endcode \code + \code matrix.middleRows(i);\endcode
@@ -203,25 +203,25 @@ Eigen also provides a set of block operations designed specifically for the spec %Block operation Version constructing a \n dynamic-size block expression Version constructing a \n fixed-size block expression -%Block containing the first \p n elements +%Block containing the first \p n elements \link DenseBase::head() * \endlink \code vector.head(n);\endcode - \code + \code vector.head();\endcode %Block containing the last \p n elements \link DenseBase::tail() * \endlink \code vector.tail(n);\endcode - \code + \code vector.tail();\endcode %Block containing \p n elements, starting at position \p i \link DenseBase::segment() * \endlink \code vector.segment(i,n);\endcode - \code + \code vector.segment(i);\endcode diff --git a/doc/TutorialLinearAlgebra.dox b/doc/TutorialLinearAlgebra.dox index 8042fcad3..8e38944cb 100644 --- a/doc/TutorialLinearAlgebra.dox +++ b/doc/TutorialLinearAlgebra.dox @@ -128,7 +128,7 @@ depending on your matrix, the problem you are trying to solve, and the trade-off To get an overview of the true relative speed of the different decompositions, check this \link DenseDecompositionBenchmark benchmark \endlink. -All of these decompositions offer a solve() method that works as in the above example. +All of these decompositions offer a solve() method that works as in the above example. If you know more about the properties of your matrix, you can use the above table to select the best method. For example, a good choice for solving linear systems with a non-symmetric matrix of full rank is PartialPivLU. @@ -156,7 +156,7 @@ in the least squares sense, is the SVD decomposition. Eigen provides two impleme The recommended one is the BDCSVD class, which scales well for large problems and automatically falls back to the JacobiSVD class for smaller problems. For both classes, their solve() method solved the linear system in the least-squares -sense. +sense. Here is an example: @@ -167,7 +167,7 @@ Here is an example:
-An alternative to the SVD, which is usually faster and about as accurate, is CompleteOrthogonalDecomposition. +An alternative to the SVD, which is usually faster and about as accurate, is CompleteOrthogonalDecomposition. Again, if you know more about the problem, the table above contains methods that are potentially faster. If your matrix is full rank, HouseHolderQR is the method of choice. If your matrix is full rank and well conditioned, diff --git a/doc/TutorialMapClass.dox b/doc/TutorialMapClass.dox index caa2539d8..3a45f2f76 100644 --- a/doc/TutorialMapClass.dox +++ b/doc/TutorialMapClass.dox @@ -17,7 +17,7 @@ A Map object has a type defined by its %Eigen equivalent: \code Map > \endcode -Note that, in this default case, a Map requires just a single template parameter. +Note that, in this default case, a Map requires just a single template parameter. To construct a Map variable, you need two other pieces of information: a pointer to the region of memory defining the array of coefficients, and the desired shape of the matrix or vector. For example, to define a matrix of \c float with sizes determined at compile time, you might do the following: \code diff --git a/doc/TutorialMatrixClass.dox b/doc/TutorialMatrixClass.dox index 6b0c6f6c4..0bb58305d 100644 --- a/doc/TutorialMatrixClass.dox +++ b/doc/TutorialMatrixClass.dox @@ -23,7 +23,7 @@ Matrix See \ref TopicScalarTypes "Scalar types" for a list of all supported scalar types and for how to extend support to new types. \li \c RowsAtCompileTime and \c ColsAtCompileTime are the number of rows - and columns of the matrix as known at compile time (see + and columns of the matrix as known at compile time (see \ref TutorialMatrixDynamic "below" for what to do if the number is not known at compile time). @@ -151,7 +151,7 @@ The numbering starts at 0. This example is self-explanatory: \verbinclude tut_matrix_coefficient_accessors.out -Note that the syntax `m(index)` +Note that the syntax `m(index)` is not restricted to vectors, it is also available for general matrices, meaning index-based access in the array of coefficients. This however depends on the matrix's storage order. All Eigen matrices default to column-major storage order, but this can be changed to row-major, see \ref TopicStorageOrders "Storage orders". diff --git a/doc/TutorialReductionsVisitorsBroadcasting.dox b/doc/TutorialReductionsVisitorsBroadcasting.dox index f5322b4a6..97d0da84e 100644 --- a/doc/TutorialReductionsVisitorsBroadcasting.dox +++ b/doc/TutorialReductionsVisitorsBroadcasting.dox @@ -81,11 +81,11 @@ TODO In the meantime you can have a look at the DenseBase::redux() function. \section TutorialReductionsVisitorsBroadcastingVisitors Visitors -Visitors are useful when one wants to obtain the location of a coefficient inside -a Matrix or Array. The simplest examples are -\link MatrixBase::maxCoeff() maxCoeff(&x,&y) \endlink and +Visitors are useful when one wants to obtain the location of a coefficient inside +a Matrix or Array. The simplest examples are +\link MatrixBase::maxCoeff() maxCoeff(&x,&y) \endlink and \link MatrixBase::minCoeff() minCoeff(&x,&y)\endlink, which can be used to find -the location of the greatest or smallest coefficient in a Matrix or +the location of the greatest or smallest coefficient in a Matrix or Array. The arguments passed to a visitor are pointers to the variables where the @@ -104,12 +104,12 @@ row and column position are to be stored. These variables should be of type Both functions also return the value of the minimum or maximum coefficient. \section TutorialReductionsVisitorsBroadcastingPartialReductions Partial reductions -Partial reductions are reductions that can operate column- or row-wise on a Matrix or -Array, applying the reduction operation on each column or row and -returning a column or row vector with the corresponding values. Partial reductions are applied +Partial reductions are reductions that can operate column- or row-wise on a Matrix or +Array, applying the reduction operation on each column or row and +returning a column or row vector with the corresponding values. Partial reductions are applied with \link DenseBase::colwise() colwise() \endlink or \link DenseBase::rowwise() rowwise() \endlink. -A simple example is obtaining the maximum of the elements +A simple example is obtaining the maximum of the elements in each column in a given matrix, storing the result in a row vector: @@ -164,17 +164,17 @@ then \mbox{m.colwise().sum()} = \begin{bmatrix} 4 & 3 & 13 & 11 \end{bmatrix} \f] -The \link DenseBase::maxCoeff() maxCoeff() \endlink reduction is finally applied -to obtain the column index where the maximum sum is found, +The \link DenseBase::maxCoeff() maxCoeff() \endlink reduction is finally applied +to obtain the column index where the maximum sum is found, which is the column index 2 (third column) in this case. \section TutorialReductionsVisitorsBroadcastingBroadcasting Broadcasting -The concept behind broadcasting is similar to partial reductions, with the difference that broadcasting -constructs an expression where a vector (column or row) is interpreted as a matrix by replicating it in +The concept behind broadcasting is similar to partial reductions, with the difference that broadcasting +constructs an expression where a vector (column or row) is interpreted as a matrix by replicating it in one direction. -A simple example is to add a certain column vector to each column in a matrix. +A simple example is to add a certain column vector to each column in a matrix. This can be accomplished with:
@@ -194,10 +194,10 @@ form a four-by-two matrix which is then added to \c mat: + \begin{bmatrix} 0 & 0 & 0 & 0 \\ 1 & 1 & 1 & 1 \end{bmatrix} = \begin{bmatrix} 1 & 2 & 6 & 9 \\ 4 & 2 & 8 & 3 \end{bmatrix}. \f] -The operators -=, + and - can also be used column-wise and row-wise. On arrays, we -can also use the operators *=, /=, * and / to perform coefficient-wise +The operators -=, + and - can also be used column-wise and row-wise. On arrays, we +can also use the operators *=, /=, * and / to perform coefficient-wise multiplication and division column-wise or row-wise. These operators are not available on matrices because it -is not clear what they would do. If you want multiply column 0 of a matrix \c mat with \c v(0), column 1 with +is not clear what they would do. If you want multiply column 0 of a matrix \c mat with \c v(0), column 1 with \c v(1), and so on, then use mat = mat * v.asDiagonal(). It is important to point out that the vector to be added column-wise or row-wise must be of type Vector, @@ -218,7 +218,7 @@ To perform the same operation row-wise we can do:
\subsection TutorialReductionsVisitorsBroadcastingBroadcastingCombined Combining broadcasting with other operations -Broadcasting can also be combined with other operations, such as Matrix or Array operations, +Broadcasting can also be combined with other operations, such as Matrix or Array operations, reductions and partial reductions. Now that broadcasting, reductions and partial reductions have been introduced, we can dive into a more advanced example that finds @@ -234,7 +234,7 @@ computing the squared Euclidean distance with the partial reduction named \link \verbinclude Tutorial_ReductionsVisitorsBroadcasting_broadcast_1nn.out -The line that does the job is +The line that does the job is \code (m.colwise() - v).colwise().squaredNorm().minCoeff(&index); \endcode @@ -243,7 +243,7 @@ We will go step by step to understand what is happening: - m.colwise() - v is a broadcasting operation, subtracting v from each column in m. The result of this operation is a new matrix whose size is the same as matrix m: \f[ - \mbox{m.colwise() - v} = + \mbox{m.colwise() - v} = \begin{bmatrix} -1 & 21 & 4 & 7 \\ 0 & 8 & 4 & -1 diff --git a/doc/TutorialSTL.dox b/doc/TutorialSTL.dox index 9a825bc48..6329d55f3 100644 --- a/doc/TutorialSTL.dox +++ b/doc/TutorialSTL.dox @@ -7,7 +7,7 @@ As demonstrated below, this makes them naturally compatible with range-for-loops \eigenAutoToc -\section TutorialSTLVectors Iterating over 1D arrays and vectors +\section TutorialSTLVectors Iterating over 1D arrays and vectors Any dense 1D expressions exposes the pair of `begin()/end()` methods to iterate over them. diff --git a/doc/UsingNVCC.dox b/doc/UsingNVCC.dox index 36beb2ddd..c0f34ca76 100644 --- a/doc/UsingNVCC.dox +++ b/doc/UsingNVCC.dox @@ -12,7 +12,7 @@ It is thus \b strongly \b recommended to properly move all costly host computati Known issues: - \c nvcc with MS Visual Studio does not work (patch welcome) - + - \c nvcc 5.5 with gcc-4.7 (or greater) has issues with the standard \c \ header file. To workaround this, you can add the following before including any other files: \code // workaround issue between gcc >= 4.7 and cuda 5.5 @@ -21,7 +21,7 @@ Known issues: #undef _GLIBCXX_USE_INT128 #endif \endcode - + - On 64bits system Eigen uses \c long \c int as the default type for indexes and sizes. On CUDA device, it would make sense to default to 32 bits \c int. However, to keep host and CUDA code compatible, this cannot be done automatically by %Eigen, and the user is thus required to define \c EIGEN_DEFAULT_DENSE_INDEX_TYPE to \c int throughout his code (or only for CUDA code if there is no interaction between host and CUDA code through %Eigen's object). diff --git a/doc/eigendoxy.css b/doc/eigendoxy.css index c746194e6..c554726eb 100644 --- a/doc/eigendoxy.css +++ b/doc/eigendoxy.css @@ -23,7 +23,7 @@ p, dl.warning, dl.attention, dl.note li { max-width:55em; - text-align:justify; + text-align:justify; } img { @@ -52,7 +52,7 @@ table.example, table.manual, table.manual-vl, table.manual-hl { border-width: 1px; border-color: #cccccc; font-size: 1em; - + box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15); -moz-box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15); -webkit-box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15); @@ -64,7 +64,7 @@ table.example th, table.manual th, table.manual-vl th, table.manual-hl th { padding-right: 1em; color: #555555; background-color: #F4F4E5; - + background-image: -webkit-gradient(linear,center top,center bottom,from(#FFFFFF), color-stop(0.3,#FFFFFF), color-stop(0.30,#FFFFFF), color-stop(0.98,#F4F4E5), to(#ECECDE)); background-image: -moz-linear-gradient(center top, #FFFFFF 0%, #FFFFFF 30%, #F4F4E5 98%, #ECECDE); filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#FFFFFF', endColorstr='#F4F4E5'); @@ -203,7 +203,7 @@ table.tutorial_code td { } -/* Whenever doxygen meets a '\n' or a '
', it will put +/* Whenever doxygen meets a '\n' or a '
', it will put * the text containing the character into a

. * This little hack together with table.tutorial_code td.note * aims at fixing this issue. */ @@ -218,7 +218,7 @@ div.eimainmenu { } /* center version number on main page */ -h3.version { +h3.version { text-align: center; } diff --git a/lapack/CMakeLists.txt b/lapack/CMakeLists.txt index b0b5570e2..75384db77 100644 --- a/lapack/CMakeLists.txt +++ b/lapack/CMakeLists.txt @@ -48,7 +48,7 @@ if(EIGEN_ENABLE_LAPACK_TESTS) if(NOT EXISTS ${eigen_full_path_to_reference_lapack}) # Download lapack and install sources and testing at the right place message(STATUS "Download lapack_addons_3.4.1.tgz...") - + file(DOWNLOAD "http://downloads.tuxfamily.org/eigen/lapack_addons_3.4.1.tgz" "${CMAKE_CURRENT_SOURCE_DIR}/lapack_addons_3.4.1.tgz" INACTIVITY_TIMEOUT 15 @@ -56,7 +56,7 @@ if(EIGEN_ENABLE_LAPACK_TESTS) STATUS download_status EXPECTED_MD5 ab5742640617e3221a873aba44bbdc93 SHOW_PROGRESS) - + message(STATUS ${download_status}) list(GET download_status 0 download_status_num) set(download_status_num 0) @@ -67,9 +67,9 @@ if(EIGEN_ENABLE_LAPACK_TESTS) message(STATUS "Download of lapack_addons_3.4.1.tgz failed, LAPACK unit tests won't be enabled") set(EIGEN_ENABLE_LAPACK_TESTS false) endif() - + endif() - + get_filename_component(eigen_full_path_to_reference_lapack "./reference/" ABSOLUTE) if(EXISTS ${eigen_full_path_to_reference_lapack}) set(EigenLapack_funcfilenames @@ -78,7 +78,7 @@ if(EIGEN_ENABLE_LAPACK_TESTS) spotrs.f dpotrs.f cpotrs.f zpotrs.f sgetrf.f dgetrf.f cgetrf.f zgetrf.f sgetrs.f dgetrs.f cgetrs.f zgetrs.f) - + file(GLOB ReferenceLapack_SRCS0 RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} "reference/*.f") foreach(filename1 IN LISTS ReferenceLapack_SRCS0) string(REPLACE "reference/" "" filename ${filename1}) @@ -89,8 +89,8 @@ if(EIGEN_ENABLE_LAPACK_TESTS) endif() endforeach() endif() - - + + endif() endif() @@ -121,7 +121,7 @@ endforeach() get_filename_component(eigen_full_path_to_testing_lapack "./testing/" ABSOLUTE) if(EXISTS ${eigen_full_path_to_testing_lapack}) - + # The following comes from lapack/TESTING/CMakeLists.txt # Get Python find_package(PythonInterp) @@ -136,7 +136,7 @@ if(EXISTS ${eigen_full_path_to_testing_lapack}) set(BUILD_DOUBLE true) set(BUILD_COMPLEX true) set(BUILD_COMPLEX16E true) - + if(MSVC_VERSION) # string(REPLACE "/STACK:10000000" "/STACK:900000000000000000" # CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS}") @@ -157,8 +157,8 @@ if(EXISTS ${eigen_full_path_to_testing_lapack}) add_test(NAME LAPACK-${testName} COMMAND "${CMAKE_COMMAND}" -DTEST=$ - -DINPUT=${TEST_INPUT} - -DOUTPUT=${TEST_OUTPUT} + -DINPUT=${TEST_INPUT} + -DOUTPUT=${TEST_OUTPUT} -DINTDIR=${CMAKE_CFG_INTDIR} -P "${LAPACK_SOURCE_DIR}/testing/runtest.cmake") endif() diff --git a/scripts/cdashtesting.cmake.in b/scripts/cdashtesting.cmake.in index 0bf0fac2a..2327bf3be 100644 --- a/scripts/cdashtesting.cmake.in +++ b/scripts/cdashtesting.cmake.in @@ -26,7 +26,7 @@ include("${CTEST_SOURCE_DIRECTORY}/CTestConfig.cmake") foreach(subproject ${CTEST_PROJECT_SUBPROJECTS}) message("") message("Process ${subproject}") - + set_property(GLOBAL PROPERTY SubProject ${subproject}) set_property(GLOBAL PROPERTY Label ${subproject}) @@ -41,9 +41,9 @@ foreach(subproject ${CTEST_PROJECT_SUBPROJECTS}) ctest_test(BUILD "${CTEST_BINARY_DIRECTORY}" INCLUDE_LABEL "${subproject}" ) # runs only tests that have a LABELS property matching "${subproject}" - + ctest_coverage(BUILD "${CTEST_BINARY_DIRECTORY}" LABELS "${subproject}" ) - + ctest_submit(PARTS Test) - + endforeach() diff --git a/scripts/ci_cmake_msvc.ps1 b/scripts/ci_cmake_msvc.ps1 index 8a9300aec..61c9f7291 100644 --- a/scripts/ci_cmake_msvc.ps1 +++ b/scripts/ci_cmake_msvc.ps1 @@ -12,7 +12,7 @@ param ($EIGEN_CI_ROOTDIR, ) function Get-ScriptDirectory { Split-Path $MyInvocation.ScriptName } - + # Set defaults if not already set. IF (!$EIGEN_CI_ROOTDIR) { $EIGEN_CI_ROOTDIR = Join-Path (Get-ScriptDirectory) '..' } IF (!$EIGEN_CI_BUILDDIR) { $EIGEN_CI_BUILDDIR = ".build" } diff --git a/scripts/msvc_setup.ps1 b/scripts/msvc_setup.ps1 index 896faf386..aaee30897 100644 --- a/scripts/msvc_setup.ps1 +++ b/scripts/msvc_setup.ps1 @@ -5,7 +5,7 @@ param ($EIGEN_CI_MSVC_ARCH, $EIGEN_CI_MSVC_VER) Set-PSDebug -Trace 1 function Get-ScriptDirectory { Split-Path $MyInvocation.ScriptName } - + # Set defaults if not already set. IF (!$EIGEN_CI_MSVC_ARCH) { $EIGEN_CI_MSVC_ARCH = "x64" } IF (!$EIGEN_CI_MSVC_VER) { $EIGEN_CI_MSVC_VER = "14.29" } diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h b/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h index 99e7304d8..b8bdf7c8a 100644 --- a/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h +++ b/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h @@ -932,8 +932,8 @@ struct TensorEvaluator 1) { Index mid = (start + end) / 2; - device_.enqueue([this, mid, end, k, rhs]() { + device_.enqueue([this, mid, end, k, rhs]() { enqueue_packing_helper(mid, end, k, rhs); }); end = mid; @@ -1000,7 +1000,7 @@ struct TensorEvaluator 0 || std::this_thread::get_id() == created_by_thread_id_); if (pack_async) { - device_.enqueue([this, start, end, k, rhs]() { + device_.enqueue([this, start, end, k, rhs]() { enqueue_packing_helper(start, end, k, rhs); }); } else { @@ -1283,7 +1283,7 @@ struct TensorEvaluator 1) { Index mid_block_idx = (start_block_idx + end_block_idx) / 2; evaluator->m_device.enqueue( - [this, mid_block_idx, end_block_idx]() { + [this, mid_block_idx, end_block_idx]() { evalAsync(mid_block_idx, end_block_idx); }); end_block_idx = mid_block_idx; diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorVolumePatch.h b/unsupported/Eigen/CXX11/src/Tensor/TensorVolumePatch.h index cf69fef6e..acdb27701 100644 --- a/unsupported/Eigen/CXX11/src/Tensor/TensorVolumePatch.h +++ b/unsupported/Eigen/CXX11/src/Tensor/TensorVolumePatch.h @@ -449,7 +449,7 @@ struct TensorEvaluator, D // Find the offset of the element wrt the location of the first element. Index first_entry = (indices[0] - patchIndex * m_patchStride) / m_fastOutputDepth; - Index second_entry = PacketSize == 1 ? first_entry : + Index second_entry = PacketSize == 1 ? first_entry : (indices[1] - patchIndex * m_patchStride) / m_fastOutputDepth; const Index patchOffsets[2] = {first_entry, second_entry}; diff --git a/unsupported/Eigen/IterativeSolvers b/unsupported/Eigen/IterativeSolvers index 4ae0975d5..cdc5b0661 100644 --- a/unsupported/Eigen/IterativeSolvers +++ b/unsupported/Eigen/IterativeSolvers @@ -27,7 +27,7 @@ * * Choosing the best solver for solving \c A \c x = \c b depends a lot on the preconditioner chosen as well as the *properties of \c A. The following flowchart might help you. - * \dot width=50% + * \dot width=50% * digraph g { * node [ fontname=Arial, fontsize=11]; * edge [ fontname=Helvetica, fontsize=10 ]; diff --git a/unsupported/Eigen/MPRealSupport b/unsupported/Eigen/MPRealSupport index 322ff45fb..bbdf0b418 100644 --- a/unsupported/Eigen/MPRealSupport +++ b/unsupported/Eigen/MPRealSupport @@ -95,7 +95,7 @@ struct NumTraits : GenericNumTraits { return std::numeric_limits::digits10(Precision); } static inline int digits10(const Real& x) { return std::numeric_limits::digits10(x); } - + static inline int max_digits10(long Precision = mpfr::mpreal::get_default_prec()) { return std::numeric_limits::max_digits10(Precision); } diff --git a/unsupported/doc/SYCL.dox b/unsupported/doc/SYCL.dox index 2295adf21..5c81f2eb5 100644 --- a/unsupported/doc/SYCL.dox +++ b/unsupported/doc/SYCL.dox @@ -2,8 +2,8 @@ Useful information for Eigen SYCL Backend: -- Getting Started with Eigen +- Getting Started with Eigen -- Options for Building Eigen SYCL +- Options for Building Eigen SYCL */ diff --git a/unsupported/test/CMakeLists.txt b/unsupported/test/CMakeLists.txt index 5efa7e822..d11dfff3d 100644 --- a/unsupported/test/CMakeLists.txt +++ b/unsupported/test/CMakeLists.txt @@ -272,7 +272,7 @@ if(CUDA_FOUND AND EIGEN_TEST_CUDA) set(CUDA_NVCC_FLAGS "--expt-relaxed-constexpr -Xcudafe \"--display_error_number\" ${NVCC_ARCH_FLAGS} ${CUDA_NVCC_FLAGS} ${EIGEN_CUDA_CXX_FLAGS}") cuda_include_directories("${CMAKE_CURRENT_BINARY_DIR}" "${CUDA_TOOLKIT_ROOT_DIR}/include") endif() - + set(EIGEN_ADD_TEST_FILENAME_EXTENSION "cu") ei_add_test(cxx11_tensor_complex_gpu) -- GitLab From ee83f15d9d5bd661c3b01fb7cf03b70455fc35bf Mon Sep 17 00:00:00 2001 From: Hans Johnson Date: Wed, 24 Sep 2025 17:03:20 -0500 Subject: [PATCH 4/4] STYLE: Apply clang-format to codebase Enforce a consistent code format style based on the .clang-format. --- Eigen/src/Core/Array.h | 4 +- Eigen/src/Core/AssignEvaluator.h | 7 +- Eigen/src/Core/CommaInitializer.h | 4 +- Eigen/src/Core/ConditionEstimator.h | 2 +- Eigen/src/Core/CwiseBinaryOp.h | 6 +- Eigen/src/Core/CwiseNullaryOp.h | 18 +- Eigen/src/Core/DenseBase.h | 38 +-- Eigen/src/Core/Dot.h | 6 +- Eigen/src/Core/GlobalFunctions.h | 2 +- Eigen/src/Core/InnerProduct.h | 4 +- Eigen/src/Core/PlainObjectBase.h | 4 +- Eigen/src/Core/SelfAdjointView.h | 12 +- Eigen/src/Core/TriangularMatrix.h | 8 +- Eigen/src/Core/VectorwiseOp.h | 16 +- Eigen/src/Core/arch/Default/BFloat16.h | 6 +- Eigen/src/Core/arch/Default/Half.h | 5 +- Eigen/src/Core/arch/GPU/Tuple.h | 4 +- Eigen/src/Core/arch/NEON/Complex.h | 22 +- Eigen/src/Core/arch/ZVector/Complex.h | 3 +- Eigen/src/Core/arch/ZVector/PacketMath.h | 56 +-- Eigen/src/Core/util/Memory.h | 34 +- Eigen/src/Geometry/RotationBase.h | 6 +- Eigen/src/Geometry/Transform.h | 4 +- Eigen/src/OrderingMethods/Amd.h | 2 +- Eigen/src/SVD/BDCSVD.h | 2 +- Eigen/src/SparseCore/SparseAssign.h | 13 +- Eigen/src/SparseCore/SparseMatrixBase.h | 5 +- Eigen/src/SparseLU/SparseLU.h | 4 +- Eigen/src/SparseLU/SparseLU_Memory.h | 2 +- Eigen/src/SparseLU/SparseLU_column_bmod.h | 2 +- Eigen/src/SparseLU/SparseLU_column_dfs.h | 2 +- Eigen/src/SparseLU/SparseLU_copy_to_ucol.h | 2 +- Eigen/src/SparseLU/SparseLU_panel_dfs.h | 4 +- Eigen/src/SparseLU/SparseLU_pruneL.h | 6 +- Eigen/src/ThreadPool/Barrier.h | 2 +- blas/level2_impl.h | 297 ++++++++-------- blas/level3_impl.h | 322 +++++++++--------- test/gpu_test_helper.h | 6 +- test/main.h | 7 +- .../CXX11/src/Tensor/TensorContraction.h | 8 +- .../src/Tensor/TensorContractionMapper.h | 12 +- .../CXX11/src/Tensor/TensorContractionSycl.h | 12 +- .../src/Tensor/TensorContractionThreadPool.h | 16 +- .../Eigen/CXX11/src/Tensor/TensorDimensions.h | 26 +- .../Eigen/CXX11/src/Tensor/TensorEvalTo.h | 2 +- .../Eigen/CXX11/src/Tensor/TensorEvaluator.h | 8 +- .../Eigen/CXX11/src/Tensor/TensorFFT.h | 4 +- .../Eigen/CXX11/src/Tensor/TensorReduction.h | 2 +- .../Eigen/CXX11/src/Tensor/TensorStorage.h | 16 +- .../CXX11/src/Tensor/TensorVolumePatch.h | 3 +- .../Eigen/src/SparseExtra/BlockSparseMatrix.h | 4 +- 51 files changed, 523 insertions(+), 539 deletions(-) diff --git a/Eigen/src/Core/Array.h b/Eigen/src/Core/Array.h index 57f3186b0..79c00ef57 100644 --- a/Eigen/src/Core/Array.h +++ b/Eigen/src/Core/Array.h @@ -178,8 +178,8 @@ class Array : public PlainObjectBase>& list) + EIGEN_DEVICE_FUNC + EIGEN_STRONG_INLINE constexpr Array(const std::initializer_list>& list) : Base(list) {} #ifndef EIGEN_PARSED_BY_DOXYGEN diff --git a/Eigen/src/Core/AssignEvaluator.h b/Eigen/src/Core/AssignEvaluator.h index 36f0a9d74..fdf1aba03 100644 --- a/Eigen/src/Core/AssignEvaluator.h +++ b/Eigen/src/Core/AssignEvaluator.h @@ -664,10 +664,9 @@ class generic_dense_assignment_kernel { typedef copy_using_evaluator_traits AssignmentTraits; typedef typename AssignmentTraits::PacketType PacketType; - EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE constexpr generic_dense_assignment_kernel(DstEvaluatorType& dst, - const SrcEvaluatorType& src, - const Functor& func, - DstXprType& dstExpr) + EIGEN_DEVICE_FUNC + EIGEN_STRONG_INLINE constexpr generic_dense_assignment_kernel(DstEvaluatorType& dst, const SrcEvaluatorType& src, + const Functor& func, DstXprType& dstExpr) : m_dst(dst), m_src(src), m_functor(func), m_dstExpr(dstExpr) { #ifdef EIGEN_DEBUG_ASSIGN AssignmentTraits::debug(); diff --git a/Eigen/src/Core/CommaInitializer.h b/Eigen/src/Core/CommaInitializer.h index c41411790..d9003c475 100644 --- a/Eigen/src/Core/CommaInitializer.h +++ b/Eigen/src/Core/CommaInitializer.h @@ -58,7 +58,7 @@ struct CommaInitializer { } /* inserts a scalar value in the target matrix */ - EIGEN_DEVICE_FUNC CommaInitializer &operator,(const Scalar& s) { + EIGEN_DEVICE_FUNC CommaInitializer& operator,(const Scalar& s) { if (m_col == m_xpr.cols()) { m_row += m_currentBlockRows; m_col = 0; @@ -73,7 +73,7 @@ struct CommaInitializer { /* inserts a matrix expression in the target matrix */ template - EIGEN_DEVICE_FUNC CommaInitializer &operator,(const DenseBase& other) { + EIGEN_DEVICE_FUNC CommaInitializer& operator,(const DenseBase& other) { if (m_col == m_xpr.cols() && (other.cols() != 0 || other.rows() != m_currentBlockRows)) { m_row += m_currentBlockRows; m_col = 0; diff --git a/Eigen/src/Core/ConditionEstimator.h b/Eigen/src/Core/ConditionEstimator.h index dd1770b1a..230d8ff30 100644 --- a/Eigen/src/Core/ConditionEstimator.h +++ b/Eigen/src/Core/ConditionEstimator.h @@ -68,7 +68,7 @@ typename Decomposition::RealScalar rcond_invmatrix_L1_norm_estimate(const Decomp const Index n = dec.rows(); if (n == 0) return 0; - // Disable Index to float conversion warning + // Disable Index to float conversion warning #ifdef __INTEL_COMPILER #pragma warning push #pragma warning(disable : 2259) diff --git a/Eigen/src/Core/CwiseBinaryOp.h b/Eigen/src/Core/CwiseBinaryOp.h index e2b2da5a6..06c45358c 100644 --- a/Eigen/src/Core/CwiseBinaryOp.h +++ b/Eigen/src/Core/CwiseBinaryOp.h @@ -42,8 +42,10 @@ struct traits> { typedef std::remove_reference_t LhsNested_; typedef std::remove_reference_t RhsNested_; enum { - Flags = cwise_promote_storage_order::StorageKind, typename traits::StorageKind, - LhsNested_::Flags & RowMajorBit, RhsNested_::Flags & RowMajorBit>::value + Flags = cwise_promote_storage_order < typename traits::StorageKind, + typename traits::StorageKind, + LhsNested_::Flags& RowMajorBit, + RhsNested_::Flags& RowMajorBit > ::value }; }; } // end namespace internal diff --git a/Eigen/src/Core/CwiseNullaryOp.h b/Eigen/src/Core/CwiseNullaryOp.h index e4c5fedc3..f5ae6f62a 100644 --- a/Eigen/src/Core/CwiseNullaryOp.h +++ b/Eigen/src/Core/CwiseNullaryOp.h @@ -105,11 +105,11 @@ template template EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE #ifndef EIGEN_PARSED_BY_DOXYGEN - const CwiseNullaryOp::PlainObject> +const CwiseNullaryOp::PlainObject> #else - const CwiseNullaryOp +const CwiseNullaryOp #endif - DenseBase::NullaryExpr(Index rows, Index cols, const CustomNullaryOp& func) { +DenseBase::NullaryExpr(Index rows, Index cols, const CustomNullaryOp& func) { return CwiseNullaryOp(rows, cols, func); } @@ -135,11 +135,11 @@ template template EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE #ifndef EIGEN_PARSED_BY_DOXYGEN - const CwiseNullaryOp::PlainObject> +const CwiseNullaryOp::PlainObject> #else - const CwiseNullaryOp +const CwiseNullaryOp #endif - DenseBase::NullaryExpr(Index size, const CustomNullaryOp& func) { +DenseBase::NullaryExpr(Index size, const CustomNullaryOp& func) { EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived) if (RowsAtCompileTime == 1) return CwiseNullaryOp(1, size, func); @@ -160,11 +160,11 @@ template template EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE #ifndef EIGEN_PARSED_BY_DOXYGEN - const CwiseNullaryOp::PlainObject> +const CwiseNullaryOp::PlainObject> #else - const CwiseNullaryOp +const CwiseNullaryOp #endif - DenseBase::NullaryExpr(const CustomNullaryOp& func) { +DenseBase::NullaryExpr(const CustomNullaryOp& func) { return CwiseNullaryOp(RowsAtCompileTime, ColsAtCompileTime, func); } diff --git a/Eigen/src/Core/DenseBase.h b/Eigen/src/Core/DenseBase.h index c81e1d109..6884c6210 100644 --- a/Eigen/src/Core/DenseBase.h +++ b/Eigen/src/Core/DenseBase.h @@ -525,24 +525,24 @@ class DenseBase template inline EIGEN_DEVICE_FUNC - CwiseTernaryOp::Scalar, - typename DenseBase::Scalar, Scalar>, - ThenDerived, ElseDerived, Derived> - select(const DenseBase& thenMatrix, const DenseBase& elseMatrix) const; + CwiseTernaryOp::Scalar, + typename DenseBase::Scalar, Scalar>, + ThenDerived, ElseDerived, Derived> + select(const DenseBase& thenMatrix, const DenseBase& elseMatrix) const; template inline EIGEN_DEVICE_FUNC - CwiseTernaryOp::Scalar, - typename DenseBase::Scalar, Scalar>, - ThenDerived, typename DenseBase::ConstantReturnType, Derived> - select(const DenseBase& thenMatrix, const typename DenseBase::Scalar& elseScalar) const; + CwiseTernaryOp::Scalar, + typename DenseBase::Scalar, Scalar>, + ThenDerived, typename DenseBase::ConstantReturnType, Derived> + select(const DenseBase& thenMatrix, const typename DenseBase::Scalar& elseScalar) const; template inline EIGEN_DEVICE_FUNC - CwiseTernaryOp::Scalar, - typename DenseBase::Scalar, Scalar>, - typename DenseBase::ConstantReturnType, ElseDerived, Derived> - select(const typename DenseBase::Scalar& thenScalar, const DenseBase& elseMatrix) const; + CwiseTernaryOp::Scalar, + typename DenseBase::Scalar, Scalar>, + typename DenseBase::ConstantReturnType, ElseDerived, Derived> + select(const typename DenseBase::Scalar& thenScalar, const DenseBase& elseMatrix) const; template RealScalar lpNorm() const; @@ -580,12 +580,12 @@ class DenseBase #else typedef std::conditional_t<(Flags & DirectAccessBit) == DirectAccessBit, internal::pointer_based_stl_iterator, - internal::generic_randaccess_stl_iterator > + internal::generic_randaccess_stl_iterator> iterator_type; typedef std::conditional_t<(Flags & DirectAccessBit) == DirectAccessBit, internal::pointer_based_stl_iterator, - internal::generic_randaccess_stl_iterator > + internal::generic_randaccess_stl_iterator> const_iterator_type; // Stl-style iterators are supported only for vectors. @@ -660,11 +660,11 @@ class DenseBase */ template EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE - // Use forwarding references to capture all combinations of cv-qualified l+r-value cases. - std::enable_if_t>, std::decay_t>::value && - std::is_base_of>, std::decay_t>::value, - void> - swap(DerivedA&& a, DerivedB&& b) { +// Use forwarding references to capture all combinations of cv-qualified l+r-value cases. +std::enable_if_t>, std::decay_t>::value && + std::is_base_of>, std::decay_t>::value, + void> +swap(DerivedA&& a, DerivedB&& b) { a.swap(b); } diff --git a/Eigen/src/Core/Dot.h b/Eigen/src/Core/Dot.h index 059527c85..48b6991f8 100644 --- a/Eigen/src/Core/Dot.h +++ b/Eigen/src/Core/Dot.h @@ -47,9 +47,9 @@ struct squared_norm_impl { template template EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE - typename ScalarBinaryOpTraits::Scalar, - typename internal::traits::Scalar>::ReturnType - MatrixBase::dot(const MatrixBase& other) const { +typename ScalarBinaryOpTraits::Scalar, + typename internal::traits::Scalar>::ReturnType +MatrixBase::dot(const MatrixBase& other) const { return internal::dot_impl::run(derived(), other.derived()); } diff --git a/Eigen/src/Core/GlobalFunctions.h b/Eigen/src/Core/GlobalFunctions.h index df1098e27..167b4a0e8 100644 --- a/Eigen/src/Core/GlobalFunctions.h +++ b/Eigen/src/Core/GlobalFunctions.h @@ -106,7 +106,7 @@ EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(trunc, scalar_trunc_op, nearest integer not greater in magnitude than the given value,\sa Eigen::trunc DOXCOMMA ArrayBase::trunc) EIGEN_ARRAY_DECLARE_GLOBAL_UNARY( - isnan, scalar_isnan_op, not -a - number test,\sa Eigen::isinf DOXCOMMA Eigen::isfinite DOXCOMMA ArrayBase::isnan) + isnan, scalar_isnan_op, not-a - number test,\sa Eigen::isinf DOXCOMMA Eigen::isfinite DOXCOMMA ArrayBase::isnan) EIGEN_ARRAY_DECLARE_GLOBAL_UNARY( isinf, scalar_isinf_op, infinite value test,\sa Eigen::isnan DOXCOMMA Eigen::isfinite DOXCOMMA ArrayBase::isinf) EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(isfinite, scalar_isfinite_op, diff --git a/Eigen/src/Core/InnerProduct.h b/Eigen/src/Core/InnerProduct.h index 9849d9b1f..8e315bfd8 100644 --- a/Eigen/src/Core/InnerProduct.h +++ b/Eigen/src/Core/InnerProduct.h @@ -72,8 +72,8 @@ struct inner_product_evaluator { bool(LhsFlags & RhsFlags & PacketAccessBit) && Func::PacketAccess && ((MaxSizeAtCompileTime == Dynamic) || (unpacket_traits::size <= MaxSizeAtCompileTime)); - EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit inner_product_evaluator(const Lhs& lhs, const Rhs& rhs, - Func func = Func()) + EIGEN_DEVICE_FUNC + EIGEN_STRONG_INLINE explicit inner_product_evaluator(const Lhs& lhs, const Rhs& rhs, Func func = Func()) : m_func(func), m_lhs(lhs), m_rhs(rhs), m_size(lhs.size()) { inner_product_assert::run(lhs, rhs); } diff --git a/Eigen/src/Core/PlainObjectBase.h b/Eigen/src/Core/PlainObjectBase.h index a78305e25..baed26d5b 100644 --- a/Eigen/src/Core/PlainObjectBase.h +++ b/Eigen/src/Core/PlainObjectBase.h @@ -870,7 +870,7 @@ class PlainObjectBase : public internal::dense_xpr_base::type { */ template EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void swap(DenseBase& other) { - enum {SwapPointers = internal::is_same::value && Base::SizeAtCompileTime == Dynamic}; + enum { SwapPointers = internal::is_same::value && Base::SizeAtCompileTime == Dynamic }; internal::matrix_swap_impl::run(this->derived(), other.derived()); } @@ -882,7 +882,7 @@ class PlainObjectBase : public internal::dense_xpr_base::type { Base::swap(other.derived()); } - enum {IsPlainObjectBase = 1}; + enum { IsPlainObjectBase = 1 }; #endif public: // These apparently need to be down here for nvcc+icc to prevent duplicate diff --git a/Eigen/src/Core/SelfAdjointView.h b/Eigen/src/Core/SelfAdjointView.h index 16f0e7513..8a64acf26 100644 --- a/Eigen/src/Core/SelfAdjointView.h +++ b/Eigen/src/Core/SelfAdjointView.h @@ -160,18 +160,18 @@ class SelfAdjointView : public TriangularBase */ template EIGEN_DEVICE_FUNC - std::conditional_t<(TriMode & (Upper | Lower)) == (UpLo & (Upper | Lower)), TriangularView, - TriangularView > - triangularView() const { + std::conditional_t<(TriMode & (Upper | Lower)) == (UpLo & (Upper | Lower)), TriangularView, + TriangularView > + triangularView() const { std::conditional_t<(TriMode & (Upper | Lower)) == (UpLo & (Upper | Lower)), MatrixType&, typename MatrixType::ConstTransposeReturnType> tmp1(m_matrix); std::conditional_t<(TriMode & (Upper | Lower)) == (UpLo & (Upper | Lower)), MatrixType&, typename MatrixType::AdjointReturnType> tmp2(tmp1); - return std::conditional_t<(TriMode & (Upper | Lower)) == (UpLo & (Upper | Lower)), - TriangularView, - TriangularView >(tmp2); + return std::conditional_t < (TriMode & (Upper | Lower)) == (UpLo & (Upper | Lower)), + TriangularView, + TriangularView > (tmp2); } typedef SelfAdjointView ConjugateReturnType; diff --git a/Eigen/src/Core/TriangularMatrix.h b/Eigen/src/Core/TriangularMatrix.h index 27ad78eca..89e49cceb 100644 --- a/Eigen/src/Core/TriangularMatrix.h +++ b/Eigen/src/Core/TriangularMatrix.h @@ -456,11 +456,11 @@ class TriangularViewImpl : public TriangularBase EIGEN_DEVICE_FUNC #ifdef EIGEN_PARSED_BY_DOXYGEN - void - swap(TriangularBase& other) + void + swap(TriangularBase& other) #else - void - swap(TriangularBase const& other) + void + swap(TriangularBase const& other) #endif { EIGEN_STATIC_ASSERT_LVALUE(OtherDerived); diff --git a/Eigen/src/Core/VectorwiseOp.h b/Eigen/src/Core/VectorwiseOp.h index 688b49b63..e356b383b 100644 --- a/Eigen/src/Core/VectorwiseOp.h +++ b/Eigen/src/Core/VectorwiseOp.h @@ -38,7 +38,7 @@ class PartialReduxExpr; namespace internal { template -struct traits > : traits { +struct traits> : traits { typedef typename MemberOp::result_type Scalar; typedef typename traits::StorageKind StorageKind; typedef typename traits::XprKind XprKind; @@ -55,7 +55,7 @@ struct traits > : traits -class PartialReduxExpr : public internal::dense_xpr_base >::type, +class PartialReduxExpr : public internal::dense_xpr_base>::type, internal::no_assignment_operator { public: typedef typename internal::dense_xpr_base::type Base; @@ -103,7 +103,7 @@ namespace internal { EIGEN_MEMBER_FUNCTOR(norm, (Size + 5) * NumTraits::MulCost + (Size - 1) * NumTraits::AddCost); EIGEN_MEMBER_FUNCTOR(stableNorm, (Size + 5) * NumTraits::MulCost + (Size - 1) * NumTraits::AddCost); EIGEN_MEMBER_FUNCTOR(blueNorm, (Size + 5) * NumTraits::MulCost + (Size - 1) * NumTraits::AddCost); -EIGEN_MEMBER_FUNCTOR(hypotNorm, (Size - 1) * functor_traits >::Cost); +EIGEN_MEMBER_FUNCTOR(hypotNorm, (Size - 1) * functor_traits>::Cost); EIGEN_MEMBER_FUNCTOR(all, (Size - 1) * NumTraits::AddCost); EIGEN_MEMBER_FUNCTOR(any, (Size - 1) * NumTraits::AddCost); EIGEN_MEMBER_FUNCTOR(count, (Size - 1) * NumTraits::AddCost); @@ -595,10 +595,10 @@ class VectorwiseOp { /** Returns the expression of the sum of the vector \a other to each subvector of \c *this */ template - EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC - CwiseBinaryOp, const ExpressionTypeCleaned, - const typename ExtendedType::Type> - operator+(const DenseBase& other) const { + EIGEN_STRONG_INLINE + EIGEN_DEVICE_FUNC CwiseBinaryOp, + const ExpressionTypeCleaned, const typename ExtendedType::Type> + operator+(const DenseBase& other) const { EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived) EIGEN_STATIC_ASSERT_SAME_XPR_KIND(ExpressionType, OtherDerived) return m_matrix + extendedTo(other.derived()); @@ -692,7 +692,7 @@ class VectorwiseOp { typedef CwiseBinaryOp::Scalar>, const HNormalized_Block, const Replicate > + Direction == Horizontal ? HNormalized_SizeMinusOne : 1>> HNormalizedReturnType; EIGEN_DEVICE_FUNC const HNormalizedReturnType hnormalized() const; diff --git a/Eigen/src/Core/arch/Default/BFloat16.h b/Eigen/src/Core/arch/Default/BFloat16.h index b93c4bc2e..20bf41721 100644 --- a/Eigen/src/Core/arch/Default/BFloat16.h +++ b/Eigen/src/Core/arch/Default/BFloat16.h @@ -794,8 +794,10 @@ EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC bfloat16 nextafter(const bfloat16& from, c } // Specialize multiply-add to match packet operations and reduce conversions to/from float. -template<> -EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC Eigen::bfloat16 madd(const Eigen::bfloat16& x, const Eigen::bfloat16& y, const Eigen::bfloat16& z) { +template <> +EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC Eigen::bfloat16 madd(const Eigen::bfloat16& x, + const Eigen::bfloat16& y, + const Eigen::bfloat16& z) { return Eigen::bfloat16(static_cast(x) * static_cast(y) + static_cast(z)); } diff --git a/Eigen/src/Core/arch/Default/Half.h b/Eigen/src/Core/arch/Default/Half.h index 210dfff1e..8dfcc3577 100644 --- a/Eigen/src/Core/arch/Default/Half.h +++ b/Eigen/src/Core/arch/Default/Half.h @@ -956,8 +956,9 @@ EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC uint16_t bit_cast(c } // Specialize multiply-add to match packet operations and reduce conversions to/from float. -template<> -EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC Eigen::half madd(const Eigen::half& x, const Eigen::half& y, const Eigen::half& z) { +template <> +EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC Eigen::half madd(const Eigen::half& x, const Eigen::half& y, + const Eigen::half& z) { return Eigen::half(static_cast(x) * static_cast(y) + static_cast(z)); } diff --git a/Eigen/src/Core/arch/GPU/Tuple.h b/Eigen/src/Core/arch/GPU/Tuple.h index 402d92f76..ed3e28146 100644 --- a/Eigen/src/Core/arch/GPU/Tuple.h +++ b/Eigen/src/Core/arch/GPU/Tuple.h @@ -226,8 +226,8 @@ constexpr EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE typename tuple_get_impl::type>::value...>::value>> constexpr EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE - typename tuple_cat_impl::type...>::ReturnType - tuple_cat(Tuples&&... tuples) { +typename tuple_cat_impl::type...>::ReturnType +tuple_cat(Tuples&&... tuples) { return tuple_cat_impl::type...>::run(std::forward(tuples)...); } diff --git a/Eigen/src/Core/arch/NEON/Complex.h b/Eigen/src/Core/arch/NEON/Complex.h index f3f6a1a1b..c982f387b 100644 --- a/Eigen/src/Core/arch/NEON/Complex.h +++ b/Eigen/src/Core/arch/NEON/Complex.h @@ -48,7 +48,7 @@ struct Packet2cf { }; template <> -struct packet_traits > : default_packet_traits { +struct packet_traits> : default_packet_traits { typedef Packet2cf type; typedef Packet1cf half; enum { @@ -308,22 +308,22 @@ EIGEN_STRONG_INLINE Packet2cf ploaddup(const std::complex* fro } template <> -EIGEN_STRONG_INLINE void pstore >(std::complex* to, const Packet1cf& from) { +EIGEN_STRONG_INLINE void pstore>(std::complex* to, const Packet1cf& from) { EIGEN_ASSUME_ALIGNED(to, unpacket_traits::alignment); EIGEN_DEBUG_ALIGNED_STORE pstore((float*)to, from.v); } template <> -EIGEN_STRONG_INLINE void pstore >(std::complex* to, const Packet2cf& from) { +EIGEN_STRONG_INLINE void pstore>(std::complex* to, const Packet2cf& from) { EIGEN_ASSUME_ALIGNED(to, unpacket_traits::alignment); EIGEN_DEBUG_ALIGNED_STORE pstore(reinterpret_cast(to), from.v); } template <> -EIGEN_STRONG_INLINE void pstoreu >(std::complex* to, const Packet1cf& from) { +EIGEN_STRONG_INLINE void pstoreu>(std::complex* to, const Packet1cf& from) { EIGEN_DEBUG_UNALIGNED_STORE pstoreu((float*)to, from.v); } template <> -EIGEN_STRONG_INLINE void pstoreu >(std::complex* to, const Packet2cf& from) { +EIGEN_STRONG_INLINE void pstoreu>(std::complex* to, const Packet2cf& from) { EIGEN_DEBUG_UNALIGNED_STORE pstoreu(reinterpret_cast(to), from.v); } @@ -356,7 +356,7 @@ EIGEN_DEVICE_FUNC inline void pscatter, Packet2cf>(std::comp } template <> -EIGEN_STRONG_INLINE void prefetch >(const std::complex* addr) { +EIGEN_STRONG_INLINE void prefetch>(const std::complex* addr) { EIGEN_ARM_PREFETCH(reinterpret_cast(addr)); } @@ -501,7 +501,7 @@ struct Packet1cd { }; template <> -struct packet_traits > : default_packet_traits { +struct packet_traits> : default_packet_traits { typedef Packet1cd type; typedef Packet1cd half; enum { @@ -644,18 +644,18 @@ EIGEN_STRONG_INLINE Packet1cd ploaddup(const std::complex* fr } template <> -EIGEN_STRONG_INLINE void pstore >(std::complex* to, const Packet1cd& from) { +EIGEN_STRONG_INLINE void pstore>(std::complex* to, const Packet1cd& from) { EIGEN_ASSUME_ALIGNED(to, unpacket_traits::alignment); EIGEN_DEBUG_ALIGNED_STORE pstore(reinterpret_cast(to), from.v); } template <> -EIGEN_STRONG_INLINE void pstoreu >(std::complex* to, const Packet1cd& from) { +EIGEN_STRONG_INLINE void pstoreu>(std::complex* to, const Packet1cd& from) { EIGEN_DEBUG_UNALIGNED_STORE pstoreu(reinterpret_cast(to), from.v); } template <> -EIGEN_STRONG_INLINE void prefetch >(const std::complex* addr) { +EIGEN_STRONG_INLINE void prefetch>(const std::complex* addr) { EIGEN_ARM_PREFETCH(reinterpret_cast(addr)); } @@ -677,7 +677,7 @@ EIGEN_DEVICE_FUNC inline void pscatter, Packet1cd>(std::com template <> EIGEN_STRONG_INLINE std::complex pfirst(const Packet1cd& a) { EIGEN_ALIGN16 std::complex res; - pstore >(&res, a); + pstore>(&res, a); return res; } diff --git a/Eigen/src/Core/arch/ZVector/Complex.h b/Eigen/src/Core/arch/ZVector/Complex.h index 692f90f3e..cbfee15c8 100644 --- a/Eigen/src/Core/arch/ZVector/Complex.h +++ b/Eigen/src/Core/arch/ZVector/Complex.h @@ -20,7 +20,8 @@ namespace internal { #if !defined(__ARCH__) || (defined(__ARCH__) && __ARCH__ >= 12) inline Packet4ui p4ui_CONJ_XOR() { - return Packet4ui {0x00000000, 0x80000000, 0x00000000, 0x80000000}; // vec_mergeh((Packet4ui)p4i_ZERO, (Packet4ui)p4f_MZERO); + return Packet4ui{0x00000000, 0x80000000, 0x00000000, + 0x80000000}; // vec_mergeh((Packet4ui)p4i_ZERO, (Packet4ui)p4f_MZERO); } #endif diff --git a/Eigen/src/Core/arch/ZVector/PacketMath.h b/Eigen/src/Core/arch/ZVector/PacketMath.h index 39073ed81..fc46d8dc2 100644 --- a/Eigen/src/Core/arch/ZVector/PacketMath.h +++ b/Eigen/src/Core/arch/ZVector/PacketMath.h @@ -594,41 +594,32 @@ EIGEN_STRONG_INLINE void prefetch(const double* addr) { template EIGEN_STRONG_INLINE Packet2l parithmetic_shift_right(const Packet2l& a) { - return Packet2l { parithmetic_shift_right(a[0]), parithmetic_shift_right(a[1]) }; + return Packet2l{parithmetic_shift_right(a[0]), parithmetic_shift_right(a[1])}; } template EIGEN_STRONG_INLINE Packet4i parithmetic_shift_right(const Packet4i& a) { - return Packet4i { - parithmetic_shift_right(a[0]), - parithmetic_shift_right(a[1]), - parithmetic_shift_right(a[2]), - parithmetic_shift_right(a[3]) }; + return Packet4i{parithmetic_shift_right(a[0]), parithmetic_shift_right(a[1]), parithmetic_shift_right(a[2]), + parithmetic_shift_right(a[3])}; } template EIGEN_STRONG_INLINE Packet2l plogical_shift_right(const Packet2l& a) { - return Packet2l { plogical_shift_right(a[0]), plogical_shift_right(a[1]) }; + return Packet2l{plogical_shift_right(a[0]), plogical_shift_right(a[1])}; } template EIGEN_STRONG_INLINE Packet4i plogical_shift_right(const Packet4i& a) { - return Packet4i { - plogical_shift_right(a[0]), - plogical_shift_right(a[1]), - plogical_shift_right(a[2]), - plogical_shift_right(a[3]) }; + return Packet4i{plogical_shift_right(a[0]), plogical_shift_right(a[1]), plogical_shift_right(a[2]), + plogical_shift_right(a[3])}; } template EIGEN_STRONG_INLINE Packet2l plogical_shift_left(const Packet2l& a) { - return Packet2l { plogical_shift_left(a[0]), plogical_shift_left(a[1]) }; + return Packet2l{plogical_shift_left(a[0]), plogical_shift_left(a[1])}; } template EIGEN_STRONG_INLINE Packet4i plogical_shift_left(const Packet4i& a) { - return Packet4i { - plogical_shift_left(a[0]), - plogical_shift_left(a[1]), - plogical_shift_left(a[2]), - plogical_shift_left(a[3]) }; + return Packet4i{plogical_shift_left(a[0]), plogical_shift_left(a[1]), plogical_shift_left(a[2]), + plogical_shift_left(a[3])}; } template <> @@ -1338,62 +1329,51 @@ EIGEN_STRONG_INLINE Packet4f plset(const float& a) { } #if !defined(vec_float) || !defined(__ARCH__) || (defined(__ARCH__) && __ARCH__ < 13) -#pragma GCC warning \ - "float->int and int->float conversion is simulated. compile for z15 for improved performance" +#pragma GCC warning "float->int and int->float conversion is simulated. compile for z15 for improved performance" template <> struct cast_impl { EIGEN_DEVICE_FUNC static inline Packet4f run(const Packet4i& a) { - return Packet4f{float(a[0]), float(a[1]), float(a[2]), float(a[3]) }; + return Packet4f{float(a[0]), float(a[1]), float(a[2]), float(a[3])}; } }; template <> struct cast_impl { EIGEN_DEVICE_FUNC static inline Packet4i run(const Packet4f& a) { - return Packet4i{int(a[0]), int(a[1]), int(a[2]), int(a[3]) }; + return Packet4i{int(a[0]), int(a[1]), int(a[2]), int(a[3])}; } }; template <> struct cast_impl { - EIGEN_DEVICE_FUNC static inline Packet2d run(const Packet2l& a) { - return Packet2d{double(a[0]), double(a[1]) }; - } + EIGEN_DEVICE_FUNC static inline Packet2d run(const Packet2l& a) { return Packet2d{double(a[0]), double(a[1])}; } }; template <> struct cast_impl { EIGEN_DEVICE_FUNC static inline Packet2l run(const Packet2d& a) { - return Packet2l{(long long)(a[0]), (long long)(a[1]) }; + return Packet2l{(long long)(a[0]), (long long)(a[1])}; } }; #else template <> struct cast_impl { - EIGEN_DEVICE_FUNC static inline Packet4f run(const Packet4i& a) { - return vec_float(a); - } + EIGEN_DEVICE_FUNC static inline Packet4f run(const Packet4i& a) { return vec_float(a); } }; template <> struct cast_impl { - EIGEN_DEVICE_FUNC static inline Packet4i run(const Packet4f& a) { - return vec_signed(a); - } + EIGEN_DEVICE_FUNC static inline Packet4i run(const Packet4f& a) { return vec_signed(a); } }; template <> struct cast_impl { - EIGEN_DEVICE_FUNC static inline Packet2d run(const Packet2l& a) { - return vec_double(a); - } + EIGEN_DEVICE_FUNC static inline Packet2d run(const Packet2l& a) { return vec_double(a); } }; template <> struct cast_impl { - EIGEN_DEVICE_FUNC static inline Packet2l run(const Packet2d& a) { - return vec_signed(a); - } + EIGEN_DEVICE_FUNC static inline Packet2l run(const Packet2d& a) { return vec_signed(a); } }; #endif diff --git a/Eigen/src/Core/util/Memory.h b/Eigen/src/Core/util/Memory.h index d6c09a392..540ff651e 100644 --- a/Eigen/src/Core/util/Memory.h +++ b/Eigen/src/Core/util/Memory.h @@ -1279,17 +1279,17 @@ inline void queryCacheSizes(int& l1, int& l2, int& l3) { // by default let's use Intel's API queryCacheSizes_intel(l1, l2, l3, max_std_funcs); - // here is the list of other vendors: - // ||cpuid_is_vendor(abcd,"VIA VIA VIA ") - // ||cpuid_is_vendor(abcd,"CyrixInstead") - // ||cpuid_is_vendor(abcd,"CentaurHauls") - // ||cpuid_is_vendor(abcd,"GenuineTMx86") - // ||cpuid_is_vendor(abcd,"TransmetaCPU") - // ||cpuid_is_vendor(abcd,"RiseRiseRise") - // ||cpuid_is_vendor(abcd,"Geode by NSC") - // ||cpuid_is_vendor(abcd,"SiS SiS SiS ") - // ||cpuid_is_vendor(abcd,"UMC UMC UMC ") - // ||cpuid_is_vendor(abcd,"NexGenDriven") + // here is the list of other vendors: + // ||cpuid_is_vendor(abcd,"VIA VIA VIA ") + // ||cpuid_is_vendor(abcd,"CyrixInstead") + // ||cpuid_is_vendor(abcd,"CentaurHauls") + // ||cpuid_is_vendor(abcd,"GenuineTMx86") + // ||cpuid_is_vendor(abcd,"TransmetaCPU") + // ||cpuid_is_vendor(abcd,"RiseRiseRise") + // ||cpuid_is_vendor(abcd,"Geode by NSC") + // ||cpuid_is_vendor(abcd,"SiS SiS SiS ") + // ||cpuid_is_vendor(abcd,"UMC UMC UMC ") + // ||cpuid_is_vendor(abcd,"NexGenDriven") #else l1 = l2 = l3 = -1; #endif @@ -1344,11 +1344,15 @@ EIGEN_DEVICE_FUNC void destroy_at(T* p) { */ #ifndef EIGEN_ASSUME_ALIGNED #if defined(__cpp_lib_assume_aligned) && (__cpp_lib_assume_aligned >= 201811L) -#define EIGEN_ASSUME_ALIGNED(PTR, ALIGN_BYTES) \ - { PTR = std::assume_aligned<8 * (ALIGN_BYTES)>(PTR); } +#define EIGEN_ASSUME_ALIGNED(PTR, ALIGN_BYTES) \ + { \ + PTR = std::assume_aligned<8 * (ALIGN_BYTES)>(PTR); \ + } #elif EIGEN_HAS_BUILTIN(__builtin_assume_aligned) -#define EIGEN_ASSUME_ALIGNED(PTR, ALIGN_BYTES) \ - { PTR = static_cast(__builtin_assume_aligned(PTR, (ALIGN_BYTES))); } +#define EIGEN_ASSUME_ALIGNED(PTR, ALIGN_BYTES) \ + { \ + PTR = static_cast(__builtin_assume_aligned(PTR, (ALIGN_BYTES))); \ + } #else #define EIGEN_ASSUME_ALIGNED(PTR, ALIGN_BYTES) /* do nothing */ #endif diff --git a/Eigen/src/Geometry/RotationBase.h b/Eigen/src/Geometry/RotationBase.h index 3a3a3e31c..7482a5094 100644 --- a/Eigen/src/Geometry/RotationBase.h +++ b/Eigen/src/Geometry/RotationBase.h @@ -72,9 +72,9 @@ class RotationBase { */ template EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE - typename internal::rotation_base_generic_product_selector::ReturnType - operator*(const EigenBase& e) const { + typename internal::rotation_base_generic_product_selector::ReturnType + operator*(const EigenBase& e) const { return internal::rotation_base_generic_product_selector::run(derived(), e.derived()); } diff --git a/Eigen/src/Geometry/Transform.h b/Eigen/src/Geometry/Transform.h index a5d7b6083..922394750 100644 --- a/Eigen/src/Geometry/Transform.h +++ b/Eigen/src/Geometry/Transform.h @@ -412,8 +412,8 @@ class Transform { */ // note: this function is defined here because some compilers cannot find the respective declaration template - EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename internal::transform_right_product_impl::ResultType + EIGEN_DEVICE_FUNC + EIGEN_STRONG_INLINE const typename internal::transform_right_product_impl::ResultType operator*(const EigenBase& other) const { return internal::transform_right_product_impl::run(*this, other.derived()); } diff --git a/Eigen/src/OrderingMethods/Amd.h b/Eigen/src/OrderingMethods/Amd.h index 0b0bf02ec..fe2a0ee9a 100644 --- a/Eigen/src/OrderingMethods/Amd.h +++ b/Eigen/src/OrderingMethods/Amd.h @@ -317,7 +317,7 @@ void minimum_degree_ordering(SparseMatrix& C, hhead[h] = i; last[i] = h; /* save hash of i in last[i] */ } - } /* scan2 is done */ + } /* scan2 is done */ degree[k] = dk; /* finalize |Lk| */ lemax = std::max(lemax, dk); mark = internal::cs_wclear(mark + lemax, lemax, w, n); /* clear w */ diff --git a/Eigen/src/SVD/BDCSVD.h b/Eigen/src/SVD/BDCSVD.h index db1e4a264..a4ac4f862 100644 --- a/Eigen/src/SVD/BDCSVD.h +++ b/Eigen/src/SVD/BDCSVD.h @@ -1011,7 +1011,7 @@ void BDCSVD::computeSingVals(const ArrayRef& col0, const Ar if (!(numext::isfinite)(fRight)) std::cout << "f(" << rightShifted << ") =" << fRight << " ; " << left << " " << shift << " " << right << "\n"; - // eigen_internal_assert((numext::isfinite)(fRight)); + // eigen_internal_assert((numext::isfinite)(fRight)); #endif #ifdef EIGEN_BDCSVD_DEBUG_VERBOSE diff --git a/Eigen/src/SparseCore/SparseAssign.h b/Eigen/src/SparseCore/SparseAssign.h index f2da51934..245769fa5 100644 --- a/Eigen/src/SparseCore/SparseAssign.h +++ b/Eigen/src/SparseCore/SparseAssign.h @@ -175,9 +175,9 @@ struct assignment_from_dense_op_sparse { // Specialization for dense1 = sparse + dense2; -> dense1 = dense2; dense1 += sparse; template static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE - std::enable_if_t::Shape, DenseShape>::value> - run(DstXprType &dst, const CwiseBinaryOp, const Lhs, const Rhs> &src, - const internal::assign_op & /*func*/) { + std::enable_if_t::Shape, DenseShape>::value> + run(DstXprType &dst, const CwiseBinaryOp, const Lhs, const Rhs> &src, + const internal::assign_op & /*func*/) { #ifdef EIGEN_SPARSE_ASSIGNMENT_FROM_SPARSE_ADD_DENSE_PLUGIN EIGEN_SPARSE_ASSIGNMENT_FROM_SPARSE_ADD_DENSE_PLUGIN #endif @@ -190,10 +190,9 @@ struct assignment_from_dense_op_sparse { // Specialization for dense1 = sparse - dense2; -> dense1 = -dense2; dense1 += sparse; template static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE - std::enable_if_t::Shape, DenseShape>::value> - run(DstXprType &dst, - const CwiseBinaryOp, const Lhs, const Rhs> &src, - const internal::assign_op & /*func*/) { + std::enable_if_t::Shape, DenseShape>::value> + run(DstXprType &dst, const CwiseBinaryOp, const Lhs, const Rhs> &src, + const internal::assign_op & /*func*/) { #ifdef EIGEN_SPARSE_ASSIGNMENT_FROM_SPARSE_SUB_DENSE_PLUGIN EIGEN_SPARSE_ASSIGNMENT_FROM_SPARSE_SUB_DENSE_PLUGIN #endif diff --git a/Eigen/src/SparseCore/SparseMatrixBase.h b/Eigen/src/SparseCore/SparseMatrixBase.h index fbf1313d5..e72e91ee3 100644 --- a/Eigen/src/SparseCore/SparseMatrixBase.h +++ b/Eigen/src/SparseCore/SparseMatrixBase.h @@ -203,8 +203,7 @@ class SparseMatrixBase : public EigenBase { return derived(); } - SparseMatrixBase() : m_isRValue(false) { /* TODO check flags */ - } + SparseMatrixBase() : m_isRValue(false) { /* TODO check flags */ } template Derived& operator=(const ReturnByValue& other); @@ -378,7 +377,7 @@ class SparseMatrixBase : public EigenBase { /** \returns an expression of P H P^-1 where H is the matrix represented by \c *this */ SparseSymmetricPermutationProduct twistedBy( const PermutationMatrix& perm) const { - return SparseSymmetricPermutationProduct(derived(), perm); + return SparseSymmetricPermutationProduct < Derived, Upper | Lower > (derived(), perm); } template diff --git a/Eigen/src/SparseLU/SparseLU.h b/Eigen/src/SparseLU/SparseLU.h index cc69a42de..e0d82725e 100644 --- a/Eigen/src/SparseLU/SparseLU.h +++ b/Eigen/src/SparseLU/SparseLU.h @@ -791,9 +791,9 @@ void SparseLU::factorize(const MatrixType& matrix) { irep = segrep(i); repfnz_k(irep) = emptyIdxLU; } - } // end SparseLU within the panel + } // end SparseLU within the panel jcol += panel_size; // Move to the next panel - } // end for -- end elimination + } // end for -- end elimination m_detPermR = m_perm_r.determinant(); m_detPermC = m_perm_c.determinant(); diff --git a/Eigen/src/SparseLU/SparseLU_Memory.h b/Eigen/src/SparseLU/SparseLU_Memory.h index 22affd221..f0147ef97 100644 --- a/Eigen/src/SparseLU/SparseLU_Memory.h +++ b/Eigen/src/SparseLU/SparseLU_Memory.h @@ -69,7 +69,7 @@ Index SparseLUImpl::expand(VectorType& vec, Index& length, VectorType old_vec; // Temporary vector to hold the previous values if (nbElts > 0) old_vec = vec.segment(0, nbElts); - // Allocate or expand the current vector + // Allocate or expand the current vector #ifdef EIGEN_EXCEPTIONS try #endif diff --git a/Eigen/src/SparseLU/SparseLU_column_bmod.h b/Eigen/src/SparseLU/SparseLU_column_bmod.h index 8435b5622..00b7424fe 100644 --- a/Eigen/src/SparseLU/SparseLU_column_bmod.h +++ b/Eigen/src/SparseLU/SparseLU_column_bmod.h @@ -108,7 +108,7 @@ Index SparseLUImpl::column_bmod(const Index jcol, const In else LU_kernel_bmod::run(segsize, dense, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); } // end if jsupno - } // end for each segment + } // end for each segment // Process the supernodal portion of L\U[*,j] nextlu = glu.xlusup(jcol); diff --git a/Eigen/src/SparseLU/SparseLU_column_dfs.h b/Eigen/src/SparseLU/SparseLU_column_dfs.h index 71a9ff483..b641b3a4a 100644 --- a/Eigen/src/SparseLU/SparseLU_column_dfs.h +++ b/Eigen/src/SparseLU/SparseLU_column_dfs.h @@ -150,7 +150,7 @@ Index SparseLUImpl::column_dfs(const Index m, const Index nsuper++; glu.supno(jcol) = nsuper; } // if a new supernode - } // end else: jcol > 0 + } // end else: jcol > 0 // Tidy up the pointers before exit glu.xsup(nsuper + 1) = jcolp1; diff --git a/Eigen/src/SparseLU/SparseLU_copy_to_ucol.h b/Eigen/src/SparseLU/SparseLU_copy_to_ucol.h index 12e7650c4..7b94c3d17 100644 --- a/Eigen/src/SparseLU/SparseLU_copy_to_ucol.h +++ b/Eigen/src/SparseLU/SparseLU_copy_to_ucol.h @@ -95,7 +95,7 @@ Index SparseLUImpl::copy_to_ucol(const Index jcol, const I } // end if jsupno - } // end for each segment + } // end for each segment glu.xusub(jcol + 1) = nextu; // close U(*,jcol) return 0; } diff --git a/Eigen/src/SparseLU/SparseLU_panel_dfs.h b/Eigen/src/SparseLU/SparseLU_panel_dfs.h index df3154845..315b0f39b 100644 --- a/Eigen/src/SparseLU/SparseLU_panel_dfs.h +++ b/Eigen/src/SparseLU/SparseLU_panel_dfs.h @@ -126,10 +126,10 @@ void SparseLUImpl::dfs_kernel(const StorageIndex jj, Index maxdfs = xprune(krep); } // end if myfnz != -1 - } // end if chperm == -1 + } // end if chperm == -1 } // end if chmark !=jj - } // end while xdfs < maxdfs + } // end while xdfs < maxdfs // krow has no more unexplored nbrs : // Place snode-rep krep in postorder DFS, if this diff --git a/Eigen/src/SparseLU/SparseLU_pruneL.h b/Eigen/src/SparseLU/SparseLU_pruneL.h index 620f2850c..61a6abf1a 100644 --- a/Eigen/src/SparseLU/SparseLU_pruneL.h +++ b/Eigen/src/SparseLU/SparseLU_pruneL.h @@ -119,9 +119,9 @@ void SparseLUImpl::pruneL(const Index jcol, const IndexVec } // end while xprune(irep) = StorageIndex(kmin); // Pruning - } // end if do_prune - } // end pruning - } // End for each U-segment + } // end if do_prune + } // end pruning + } // End for each U-segment } } // end namespace internal diff --git a/Eigen/src/ThreadPool/Barrier.h b/Eigen/src/ThreadPool/Barrier.h index 8b2f8da71..deb3b4387 100644 --- a/Eigen/src/ThreadPool/Barrier.h +++ b/Eigen/src/ThreadPool/Barrier.h @@ -62,7 +62,7 @@ class Barrier { // Multiple threads can wait on the same Notification object, // but only one caller must call Notify() on the object. struct Notification : Barrier { - Notification() : Barrier(1){}; + Notification() : Barrier(1) {}; }; } // namespace Eigen diff --git a/blas/level2_impl.h b/blas/level2_impl.h index ca9f48f3d..83e80adb5 100644 --- a/blas/level2_impl.h +++ b/blas/level2_impl.h @@ -94,34 +94,36 @@ EIGEN_BLAS_FUNC(trsv) using Eigen::Upper; static const functype func[16] = { // array index: NOTR | (UP << 2) | (NUNIT << 3) - (Eigen::internal::triangular_solve_vector::run), + (Eigen::internal::triangular_solve_vector < Scalar, Scalar, int, OnTheLeft, Upper | 0, false, ColMajor > ::run), // array index: TR | (UP << 2) | (NUNIT << 3) - (Eigen::internal::triangular_solve_vector::run), + (Eigen::internal::triangular_solve_vector < Scalar, Scalar, int, OnTheLeft, Lower | 0, false, RowMajor > ::run), // array index: ADJ | (UP << 2) | (NUNIT << 3) - (Eigen::internal::triangular_solve_vector::run), 0, + (Eigen::internal::triangular_solve_vector < Scalar, Scalar, int, OnTheLeft, Lower | 0, Conj, RowMajor > ::run), 0, // array index: NOTR | (LO << 2) | (NUNIT << 3) - (Eigen::internal::triangular_solve_vector::run), + (Eigen::internal::triangular_solve_vector < Scalar, Scalar, int, OnTheLeft, Lower | 0, false, ColMajor > ::run), // array index: TR | (LO << 2) | (NUNIT << 3) - (Eigen::internal::triangular_solve_vector::run), + (Eigen::internal::triangular_solve_vector < Scalar, Scalar, int, OnTheLeft, Upper | 0, false, RowMajor > ::run), // array index: ADJ | (LO << 2) | (NUNIT << 3) - (Eigen::internal::triangular_solve_vector::run), 0, + (Eigen::internal::triangular_solve_vector < Scalar, Scalar, int, OnTheLeft, Upper | 0, Conj, RowMajor > ::run), 0, // array index: NOTR | (UP << 2) | (UNIT << 3) - (Eigen::internal::triangular_solve_vector::run), + (Eigen::internal::triangular_solve_vector < Scalar, Scalar, int, OnTheLeft, Upper | UnitDiag, false, + ColMajor > ::run), // array index: TR | (UP << 2) | (UNIT << 3) - (Eigen::internal::triangular_solve_vector::run), + (Eigen::internal::triangular_solve_vector < Scalar, Scalar, int, OnTheLeft, Lower | UnitDiag, false, + RowMajor > ::run), // array index: ADJ | (UP << 2) | (UNIT << 3) - (Eigen::internal::triangular_solve_vector::run), + (Eigen::internal::triangular_solve_vector < Scalar, Scalar, int, OnTheLeft, Lower | UnitDiag, Conj, + RowMajor > ::run), 0, // array index: NOTR | (LO << 2) | (UNIT << 3) - (Eigen::internal::triangular_solve_vector::run), + (Eigen::internal::triangular_solve_vector < Scalar, Scalar, int, OnTheLeft, Lower | UnitDiag, false, + ColMajor > ::run), // array index: TR | (LO << 2) | (UNIT << 3) - (Eigen::internal::triangular_solve_vector::run), + (Eigen::internal::triangular_solve_vector < Scalar, Scalar, int, OnTheLeft, Upper | UnitDiag, false, + RowMajor > ::run), // array index: ADJ | (LO << 2) | (UNIT << 3) - (Eigen::internal::triangular_solve_vector::run), + (Eigen::internal::triangular_solve_vector < Scalar, Scalar, int, OnTheLeft, Upper | UnitDiag, Conj, + RowMajor > ::run), 0}; const Scalar *a = reinterpret_cast(pa); @@ -160,41 +162,46 @@ EIGEN_BLAS_FUNC(trmv) using Eigen::RowMajor; using Eigen::UnitDiag; using Eigen::Upper; - static const functype func[16] = { - // array index: NOTR | (UP << 2) | (NUNIT << 3) - (Eigen::internal::triangular_matrix_vector_product::run), - // array index: TR | (UP << 2) | (NUNIT << 3) - (Eigen::internal::triangular_matrix_vector_product::run), - // array index: ADJ | (UP << 2) | (NUNIT << 3) - (Eigen::internal::triangular_matrix_vector_product::run), - 0, - // array index: NOTR | (LO << 2) | (NUNIT << 3) - (Eigen::internal::triangular_matrix_vector_product::run), - // array index: TR | (LO << 2) | (NUNIT << 3) - (Eigen::internal::triangular_matrix_vector_product::run), - // array index: ADJ | (LO << 2) | (NUNIT << 3) - (Eigen::internal::triangular_matrix_vector_product::run), - 0, - // array index: NOTR | (UP << 2) | (UNIT << 3) - (Eigen::internal::triangular_matrix_vector_product::run), - // array index: TR | (UP << 2) | (UNIT << 3) - (Eigen::internal::triangular_matrix_vector_product::run), - // array index: ADJ | (UP << 2) | (UNIT << 3) - (Eigen::internal::triangular_matrix_vector_product::run), - 0, - // array index: NOTR | (LO << 2) | (UNIT << 3) - (Eigen::internal::triangular_matrix_vector_product::run), - // array index: TR | (LO << 2) | (UNIT << 3) - (Eigen::internal::triangular_matrix_vector_product::run), - // array index: ADJ | (LO << 2) | (UNIT << 3) - (Eigen::internal::triangular_matrix_vector_product::run), - 0}; + static const functype func[16] = {// array index: NOTR | (UP << 2) | (NUNIT << 3) + (Eigen::internal::triangular_matrix_vector_product < int, Upper | 0, Scalar, false, + Scalar, false, ColMajor > ::run), + // array index: TR | (UP << 2) | (NUNIT << 3) + (Eigen::internal::triangular_matrix_vector_product < int, Lower | 0, Scalar, false, + Scalar, false, RowMajor > ::run), + // array index: ADJ | (UP << 2) | (NUNIT << 3) + (Eigen::internal::triangular_matrix_vector_product < int, Lower | 0, Scalar, Conj, + Scalar, false, RowMajor > ::run), + 0, + // array index: NOTR | (LO << 2) | (NUNIT << 3) + (Eigen::internal::triangular_matrix_vector_product < int, Lower | 0, Scalar, false, + Scalar, false, ColMajor > ::run), + // array index: TR | (LO << 2) | (NUNIT << 3) + (Eigen::internal::triangular_matrix_vector_product < int, Upper | 0, Scalar, false, + Scalar, false, RowMajor > ::run), + // array index: ADJ | (LO << 2) | (NUNIT << 3) + (Eigen::internal::triangular_matrix_vector_product < int, Upper | 0, Scalar, Conj, + Scalar, false, RowMajor > ::run), + 0, + // array index: NOTR | (UP << 2) | (UNIT << 3) + (Eigen::internal::triangular_matrix_vector_product < int, Upper | UnitDiag, Scalar, + false, Scalar, false, ColMajor > ::run), + // array index: TR | (UP << 2) | (UNIT << 3) + (Eigen::internal::triangular_matrix_vector_product < int, Lower | UnitDiag, Scalar, + false, Scalar, false, RowMajor > ::run), + // array index: ADJ | (UP << 2) | (UNIT << 3) + (Eigen::internal::triangular_matrix_vector_product < int, Lower | UnitDiag, Scalar, + Conj, Scalar, false, RowMajor > ::run), + 0, + // array index: NOTR | (LO << 2) | (UNIT << 3) + (Eigen::internal::triangular_matrix_vector_product < int, Lower | UnitDiag, Scalar, + false, Scalar, false, ColMajor > ::run), + // array index: TR | (LO << 2) | (UNIT << 3) + (Eigen::internal::triangular_matrix_vector_product < int, Upper | UnitDiag, Scalar, + false, Scalar, false, RowMajor > ::run), + // array index: ADJ | (LO << 2) | (UNIT << 3) + (Eigen::internal::triangular_matrix_vector_product < int, Upper | UnitDiag, Scalar, + Conj, Scalar, false, RowMajor > ::run), + 0}; const Scalar *a = reinterpret_cast(pa); Scalar *b = reinterpret_cast(pb); @@ -381,32 +388,36 @@ EIGEN_BLAS_FUNC(tbsv) using Eigen::Upper; static const functype func[16] = { // array index: NOTR | (UP << 2) | (NUNIT << 3) - (Eigen::internal::band_solve_triangular_selector::run), + (Eigen::internal::band_solve_triangular_selector < int, Upper | 0, Scalar, false, Scalar, ColMajor > ::run), // array index: TR | (UP << 2) | (NUNIT << 3) - (Eigen::internal::band_solve_triangular_selector::run), + (Eigen::internal::band_solve_triangular_selector < int, Lower | 0, Scalar, false, Scalar, RowMajor > ::run), // array index: ADJ | (UP << 2) | (NUNIT << 3) - (Eigen::internal::band_solve_triangular_selector::run), + (Eigen::internal::band_solve_triangular_selector < int, Lower | 0, Scalar, Conj, Scalar, RowMajor > ::run), 0, // array index: NOTR | (LO << 2) | (NUNIT << 3) - (Eigen::internal::band_solve_triangular_selector::run), + (Eigen::internal::band_solve_triangular_selector < int, Lower | 0, Scalar, false, Scalar, ColMajor > ::run), // array index: TR | (LO << 2) | (NUNIT << 3) - (Eigen::internal::band_solve_triangular_selector::run), + (Eigen::internal::band_solve_triangular_selector < int, Upper | 0, Scalar, false, Scalar, RowMajor > ::run), // array index: ADJ | (LO << 2) | (NUNIT << 3) - (Eigen::internal::band_solve_triangular_selector::run), + (Eigen::internal::band_solve_triangular_selector < int, Upper | 0, Scalar, Conj, Scalar, RowMajor > ::run), 0, // array index: NOTR | (UP << 2) | (UNIT << 3) - (Eigen::internal::band_solve_triangular_selector::run), + (Eigen::internal::band_solve_triangular_selector < int, Upper | UnitDiag, Scalar, false, Scalar, + ColMajor > ::run), // array index: TR | (UP << 2) | (UNIT << 3) - (Eigen::internal::band_solve_triangular_selector::run), + (Eigen::internal::band_solve_triangular_selector < int, Lower | UnitDiag, Scalar, false, Scalar, + RowMajor > ::run), // array index: ADJ | (UP << 2) | (UNIT << 3) - (Eigen::internal::band_solve_triangular_selector::run), + (Eigen::internal::band_solve_triangular_selector < int, Lower | UnitDiag, Scalar, Conj, Scalar, RowMajor > ::run), 0, // array index: NOTR | (LO << 2) | (UNIT << 3) - (Eigen::internal::band_solve_triangular_selector::run), + (Eigen::internal::band_solve_triangular_selector < int, Lower | UnitDiag, Scalar, false, Scalar, + ColMajor > ::run), // array index: TR | (LO << 2) | (UNIT << 3) - (Eigen::internal::band_solve_triangular_selector::run), + (Eigen::internal::band_solve_triangular_selector < int, Upper | UnitDiag, Scalar, false, Scalar, + RowMajor > ::run), // array index: ADJ | (LO << 2) | (UNIT << 3) - (Eigen::internal::band_solve_triangular_selector::run), + (Eigen::internal::band_solve_triangular_selector < int, Upper | UnitDiag, Scalar, Conj, Scalar, RowMajor > ::run), 0, }; @@ -460,47 +471,46 @@ EIGEN_BLAS_FUNC(tpmv)(char *uplo, char *opa, char *diag, int *n, RealScalar *pap using Eigen::RowMajor; using Eigen::UnitDiag; using Eigen::Upper; - static const functype func[16] = { - // array index: NOTR | (UP << 2) | (NUNIT << 3) - (Eigen::internal::packed_triangular_matrix_vector_product::run), - // array index: TR | (UP << 2) | (NUNIT << 3) - (Eigen::internal::packed_triangular_matrix_vector_product::run), - // array index: ADJ | (UP << 2) | (NUNIT << 3) - (Eigen::internal::packed_triangular_matrix_vector_product::run), - 0, - // array index: NOTR | (LO << 2) | (NUNIT << 3) - (Eigen::internal::packed_triangular_matrix_vector_product::run), - // array index: TR | (LO << 2) | (NUNIT << 3) - (Eigen::internal::packed_triangular_matrix_vector_product::run), - // array index: ADJ | (LO << 2) | (NUNIT << 3) - (Eigen::internal::packed_triangular_matrix_vector_product::run), - 0, - // array index: NOTR | (UP << 2) | (UNIT << 3) - (Eigen::internal::packed_triangular_matrix_vector_product::run), - // array index: TR | (UP << 2) | (UNIT << 3) - (Eigen::internal::packed_triangular_matrix_vector_product::run), - // array index: ADJ | (UP << 2) | (UNIT << 3) - (Eigen::internal::packed_triangular_matrix_vector_product::run), - 0, - // array index: NOTR | (LO << 2) | (UNIT << 3) - (Eigen::internal::packed_triangular_matrix_vector_product::run), - // array index: TR | (LO << 2) | (UNIT << 3) - (Eigen::internal::packed_triangular_matrix_vector_product::run), - // array index: ADJ | (LO << 2) | (UNIT << 3) - (Eigen::internal::packed_triangular_matrix_vector_product::run), - 0}; + static const functype func[16] = {// array index: NOTR | (UP << 2) | (NUNIT << 3) + (Eigen::internal::packed_triangular_matrix_vector_product < int, Upper | 0, Scalar, + false, Scalar, false, ColMajor > ::run), + // array index: TR | (UP << 2) | (NUNIT << 3) + (Eigen::internal::packed_triangular_matrix_vector_product < int, Lower | 0, Scalar, + false, Scalar, false, RowMajor > ::run), + // array index: ADJ | (UP << 2) | (NUNIT << 3) + (Eigen::internal::packed_triangular_matrix_vector_product < int, Lower | 0, Scalar, + Conj, Scalar, false, RowMajor > ::run), + 0, + // array index: NOTR | (LO << 2) | (NUNIT << 3) + (Eigen::internal::packed_triangular_matrix_vector_product < int, Lower | 0, Scalar, + false, Scalar, false, ColMajor > ::run), + // array index: TR | (LO << 2) | (NUNIT << 3) + (Eigen::internal::packed_triangular_matrix_vector_product < int, Upper | 0, Scalar, + false, Scalar, false, RowMajor > ::run), + // array index: ADJ | (LO << 2) | (NUNIT << 3) + (Eigen::internal::packed_triangular_matrix_vector_product < int, Upper | 0, Scalar, + Conj, Scalar, false, RowMajor > ::run), + 0, + // array index: NOTR | (UP << 2) | (UNIT << 3) + (Eigen::internal::packed_triangular_matrix_vector_product < int, Upper | UnitDiag, + Scalar, false, Scalar, false, ColMajor > ::run), + // array index: TR | (UP << 2) | (UNIT << 3) + (Eigen::internal::packed_triangular_matrix_vector_product < int, Lower | UnitDiag, + Scalar, false, Scalar, false, RowMajor > ::run), + // array index: ADJ | (UP << 2) | (UNIT << 3) + (Eigen::internal::packed_triangular_matrix_vector_product < int, Lower | UnitDiag, + Scalar, Conj, Scalar, false, RowMajor > ::run), + 0, + // array index: NOTR | (LO << 2) | (UNIT << 3) + (Eigen::internal::packed_triangular_matrix_vector_product < int, Lower | UnitDiag, + Scalar, false, Scalar, false, ColMajor > ::run), + // array index: TR | (LO << 2) | (UNIT << 3) + (Eigen::internal::packed_triangular_matrix_vector_product < int, Upper | UnitDiag, + Scalar, false, Scalar, false, RowMajor > ::run), + // array index: ADJ | (LO << 2) | (UNIT << 3) + (Eigen::internal::packed_triangular_matrix_vector_product < int, Upper | UnitDiag, + Scalar, Conj, Scalar, false, RowMajor > ::run), + 0}; Scalar *ap = reinterpret_cast(pap); Scalar *x = reinterpret_cast(px); @@ -551,45 +561,46 @@ EIGEN_BLAS_FUNC(tpsv)(char *uplo, char *opa, char *diag, int *n, RealScalar *pap using Eigen::RowMajor; using Eigen::UnitDiag; using Eigen::Upper; - static const functype func[16] = { - // array index: NOTR | (UP << 2) | (NUNIT << 3) - (Eigen::internal::packed_triangular_solve_vector::run), - // array index: TR | (UP << 2) | (NUNIT << 3) - (Eigen::internal::packed_triangular_solve_vector::run), - // array index: ADJ | (UP << 2) | (NUNIT << 3) - (Eigen::internal::packed_triangular_solve_vector::run), - 0, - // array index: NOTR | (LO << 2) | (NUNIT << 3) - (Eigen::internal::packed_triangular_solve_vector::run), - // array index: TR | (LO << 2) | (NUNIT << 3) - (Eigen::internal::packed_triangular_solve_vector::run), - // array index: ADJ | (LO << 2) | (NUNIT << 3) - (Eigen::internal::packed_triangular_solve_vector::run), - 0, - // array index: NOTR | (UP << 2) | (UNIT << 3) - (Eigen::internal::packed_triangular_solve_vector::run), - // array index: TR | (UP << 2) | (UNIT << 3) - (Eigen::internal::packed_triangular_solve_vector::run), - // array index: ADJ | (UP << 2) | (UNIT << 3) - (Eigen::internal::packed_triangular_solve_vector::run), - 0, - // array index: NOTR | (LO << 2) | (UNIT << 3) - (Eigen::internal::packed_triangular_solve_vector::run), - // array index: TR | (LO << 2) | (UNIT << 3) - (Eigen::internal::packed_triangular_solve_vector::run), - // array index: ADJ | (LO << 2) | (UNIT << 3) - (Eigen::internal::packed_triangular_solve_vector::run), - 0}; + static const functype func[16] = {// array index: NOTR | (UP << 2) | (NUNIT << 3) + (Eigen::internal::packed_triangular_solve_vector < Scalar, Scalar, int, OnTheLeft, + Upper | 0, false, ColMajor > ::run), + // array index: TR | (UP << 2) | (NUNIT << 3) + (Eigen::internal::packed_triangular_solve_vector < Scalar, Scalar, int, OnTheLeft, + Lower | 0, false, RowMajor > ::run), + // array index: ADJ | (UP << 2) | (NUNIT << 3) + (Eigen::internal::packed_triangular_solve_vector < Scalar, Scalar, int, OnTheLeft, + Lower | 0, Conj, RowMajor > ::run), + 0, + // array index: NOTR | (LO << 2) | (NUNIT << 3) + (Eigen::internal::packed_triangular_solve_vector < Scalar, Scalar, int, OnTheLeft, + Lower | 0, false, ColMajor > ::run), + // array index: TR | (LO << 2) | (NUNIT << 3) + (Eigen::internal::packed_triangular_solve_vector < Scalar, Scalar, int, OnTheLeft, + Upper | 0, false, RowMajor > ::run), + // array index: ADJ | (LO << 2) | (NUNIT << 3) + (Eigen::internal::packed_triangular_solve_vector < Scalar, Scalar, int, OnTheLeft, + Upper | 0, Conj, RowMajor > ::run), + 0, + // array index: NOTR | (UP << 2) | (UNIT << 3) + (Eigen::internal::packed_triangular_solve_vector < Scalar, Scalar, int, OnTheLeft, + Upper | UnitDiag, false, ColMajor > ::run), + // array index: TR | (UP << 2) | (UNIT << 3) + (Eigen::internal::packed_triangular_solve_vector < Scalar, Scalar, int, OnTheLeft, + Lower | UnitDiag, false, RowMajor > ::run), + // array index: ADJ | (UP << 2) | (UNIT << 3) + (Eigen::internal::packed_triangular_solve_vector < Scalar, Scalar, int, OnTheLeft, + Lower | UnitDiag, Conj, RowMajor > ::run), + 0, + // array index: NOTR | (LO << 2) | (UNIT << 3) + (Eigen::internal::packed_triangular_solve_vector < Scalar, Scalar, int, OnTheLeft, + Lower | UnitDiag, false, ColMajor > ::run), + // array index: TR | (LO << 2) | (UNIT << 3) + (Eigen::internal::packed_triangular_solve_vector < Scalar, Scalar, int, OnTheLeft, + Upper | UnitDiag, false, RowMajor > ::run), + // array index: ADJ | (LO << 2) | (UNIT << 3) + (Eigen::internal::packed_triangular_solve_vector < Scalar, Scalar, int, OnTheLeft, + Upper | UnitDiag, Conj, RowMajor > ::run), + 0}; Scalar *ap = reinterpret_cast(pap); Scalar *x = reinterpret_cast(px); diff --git a/blas/level3_impl.h b/blas/level3_impl.h index 4ea1b46c2..9db618642 100644 --- a/blas/level3_impl.h +++ b/blas/level3_impl.h @@ -240,87 +240,86 @@ EIGEN_BLAS_FUNC(trsm) using Eigen::Upper; typedef void (*functype)(DenseIndex, DenseIndex, const Scalar *, DenseIndex, Scalar *, DenseIndex, DenseIndex, Eigen::internal::level3_blocking &); - static const functype func[32] = { - // array index: NOTR | (LEFT << 2) | (UP << 3) | (NUNIT << 4) - (Eigen::internal::triangular_solve_matrix::run), - // array index: TR | (LEFT << 2) | (UP << 3) | (NUNIT << 4) - (Eigen::internal::triangular_solve_matrix::run), - // array index: ADJ | (LEFT << 2) | (UP << 3) | (NUNIT << 4) - (Eigen::internal::triangular_solve_matrix::run), - 0, - // array index: NOTR | (RIGHT << 2) | (UP << 3) | (NUNIT << 4) - (Eigen::internal::triangular_solve_matrix::run), - // array index: TR | (RIGHT << 2) | (UP << 3) | (NUNIT << 4) - (Eigen::internal::triangular_solve_matrix::run), - // array index: ADJ | (RIGHT << 2) | (UP << 3) | (NUNIT << 4) - (Eigen::internal::triangular_solve_matrix::run), - 0, - // array index: NOTR | (LEFT << 2) | (LO << 3) | (NUNIT << 4) - (Eigen::internal::triangular_solve_matrix::run), - // array index: TR | (LEFT << 2) | (LO << 3) | (NUNIT << 4) - (Eigen::internal::triangular_solve_matrix::run), - // array index: ADJ | (LEFT << 2) | (LO << 3) | (NUNIT << 4) - (Eigen::internal::triangular_solve_matrix::run), - 0, - // array index: NOTR | (RIGHT << 2) | (LO << 3) | (NUNIT << 4) - (Eigen::internal::triangular_solve_matrix::run), - // array index: TR | (RIGHT << 2) | (LO << 3) | (NUNIT << 4) - (Eigen::internal::triangular_solve_matrix::run), - // array index: ADJ | (RIGHT << 2) | (LO << 3) | (NUNIT << 4) - (Eigen::internal::triangular_solve_matrix::run), - 0, - // array index: NOTR | (LEFT << 2) | (UP << 3) | (UNIT << 4) - (Eigen::internal::triangular_solve_matrix::run), - // array index: TR | (LEFT << 2) | (UP << 3) | (UNIT << 4) - (Eigen::internal::triangular_solve_matrix::run), - // array index: ADJ | (LEFT << 2) | (UP << 3) | (UNIT << 4) - (Eigen::internal::triangular_solve_matrix::run), - 0, - // array index: NOTR | (RIGHT << 2) | (UP << 3) | (UNIT << 4) - (Eigen::internal::triangular_solve_matrix::run), - // array index: TR | (RIGHT << 2) | (UP << 3) | (UNIT << 4) - (Eigen::internal::triangular_solve_matrix::run), - // array index: ADJ | (RIGHT << 2) | (UP << 3) | (UNIT << 4) - (Eigen::internal::triangular_solve_matrix::run), - 0, - // array index: NOTR | (LEFT << 2) | (LO << 3) | (UNIT << 4) - (Eigen::internal::triangular_solve_matrix::run), - // array index: TR | (LEFT << 2) | (LO << 3) | (UNIT << 4) - (Eigen::internal::triangular_solve_matrix::run), - // array index: ADJ | (LEFT << 2) | (LO << 3) | (UNIT << 4) - (Eigen::internal::triangular_solve_matrix::run), - 0, - // array index: NOTR | (RIGHT << 2) | (LO << 3) | (UNIT << 4) - (Eigen::internal::triangular_solve_matrix::run), - // array index: TR | (RIGHT << 2) | (LO << 3) | (UNIT << 4) - (Eigen::internal::triangular_solve_matrix::run), - // array index: ADJ | (RIGHT << 2) | (LO << 3) | (UNIT << 4) - (Eigen::internal::triangular_solve_matrix::run), - 0}; + static const functype func[32] = {// array index: NOTR | (LEFT << 2) | (UP << 3) | (NUNIT << 4) + (Eigen::internal::triangular_solve_matrix < Scalar, DenseIndex, OnTheLeft, + Upper | 0, false, ColMajor, ColMajor, 1 > ::run), + // array index: TR | (LEFT << 2) | (UP << 3) | (NUNIT << 4) + (Eigen::internal::triangular_solve_matrix < Scalar, DenseIndex, OnTheLeft, + Lower | 0, false, RowMajor, ColMajor, 1 > ::run), + // array index: ADJ | (LEFT << 2) | (UP << 3) | (NUNIT << 4) + (Eigen::internal::triangular_solve_matrix < Scalar, DenseIndex, OnTheLeft, + Lower | 0, Conj, RowMajor, ColMajor, 1 > ::run), + 0, + // array index: NOTR | (RIGHT << 2) | (UP << 3) | (NUNIT << 4) + (Eigen::internal::triangular_solve_matrix < Scalar, DenseIndex, OnTheRight, + Upper | 0, false, ColMajor, ColMajor, 1 > ::run), + // array index: TR | (RIGHT << 2) | (UP << 3) | (NUNIT << 4) + (Eigen::internal::triangular_solve_matrix < Scalar, DenseIndex, OnTheRight, + Lower | 0, false, RowMajor, ColMajor, 1 > ::run), + // array index: ADJ | (RIGHT << 2) | (UP << 3) | (NUNIT << 4) + (Eigen::internal::triangular_solve_matrix < Scalar, DenseIndex, OnTheRight, + Lower | 0, Conj, RowMajor, ColMajor, 1 > ::run), + 0, + // array index: NOTR | (LEFT << 2) | (LO << 3) | (NUNIT << 4) + (Eigen::internal::triangular_solve_matrix < Scalar, DenseIndex, OnTheLeft, + Lower | 0, false, ColMajor, ColMajor, 1 > ::run), + // array index: TR | (LEFT << 2) | (LO << 3) | (NUNIT << 4) + (Eigen::internal::triangular_solve_matrix < Scalar, DenseIndex, OnTheLeft, + Upper | 0, false, RowMajor, ColMajor, 1 > ::run), + // array index: ADJ | (LEFT << 2) | (LO << 3) | (NUNIT << 4) + (Eigen::internal::triangular_solve_matrix < Scalar, DenseIndex, OnTheLeft, + Upper | 0, Conj, RowMajor, ColMajor, 1 > ::run), + 0, + // array index: NOTR | (RIGHT << 2) | (LO << 3) | (NUNIT << 4) + (Eigen::internal::triangular_solve_matrix < Scalar, DenseIndex, OnTheRight, + Lower | 0, false, ColMajor, ColMajor, 1 > ::run), + // array index: TR | (RIGHT << 2) | (LO << 3) | (NUNIT << 4) + (Eigen::internal::triangular_solve_matrix < Scalar, DenseIndex, OnTheRight, + Upper | 0, false, RowMajor, ColMajor, 1 > ::run), + // array index: ADJ | (RIGHT << 2) | (LO << 3) | (NUNIT << 4) + (Eigen::internal::triangular_solve_matrix < Scalar, DenseIndex, OnTheRight, + Upper | 0, Conj, RowMajor, ColMajor, 1 > ::run), + 0, + // array index: NOTR | (LEFT << 2) | (UP << 3) | (UNIT << 4) + (Eigen::internal::triangular_solve_matrix < Scalar, DenseIndex, OnTheLeft, + Upper | UnitDiag, false, ColMajor, ColMajor, 1 > ::run), + // array index: TR | (LEFT << 2) | (UP << 3) | (UNIT << 4) + (Eigen::internal::triangular_solve_matrix < Scalar, DenseIndex, OnTheLeft, + Lower | UnitDiag, false, RowMajor, ColMajor, 1 > ::run), + // array index: ADJ | (LEFT << 2) | (UP << 3) | (UNIT << 4) + (Eigen::internal::triangular_solve_matrix < Scalar, DenseIndex, OnTheLeft, + Lower | UnitDiag, Conj, RowMajor, ColMajor, 1 > ::run), + 0, + // array index: NOTR | (RIGHT << 2) | (UP << 3) | (UNIT << 4) + (Eigen::internal::triangular_solve_matrix < Scalar, DenseIndex, OnTheRight, + Upper | UnitDiag, false, ColMajor, ColMajor, 1 > ::run), + // array index: TR | (RIGHT << 2) | (UP << 3) | (UNIT << 4) + (Eigen::internal::triangular_solve_matrix < Scalar, DenseIndex, OnTheRight, + Lower | UnitDiag, false, RowMajor, ColMajor, 1 > ::run), + // array index: ADJ | (RIGHT << 2) | (UP << 3) | (UNIT << 4) + (Eigen::internal::triangular_solve_matrix < Scalar, DenseIndex, OnTheRight, + Lower | UnitDiag, Conj, RowMajor, ColMajor, 1 > ::run), + 0, + // array index: NOTR | (LEFT << 2) | (LO << 3) | (UNIT << 4) + (Eigen::internal::triangular_solve_matrix < Scalar, DenseIndex, OnTheLeft, + Lower | UnitDiag, false, ColMajor, ColMajor, 1 > ::run), + // array index: TR | (LEFT << 2) | (LO << 3) | (UNIT << 4) + (Eigen::internal::triangular_solve_matrix < Scalar, DenseIndex, OnTheLeft, + Upper | UnitDiag, false, RowMajor, ColMajor, 1 > ::run), + // array index: ADJ | (LEFT << 2) | (LO << 3) | (UNIT << 4) + (Eigen::internal::triangular_solve_matrix < Scalar, DenseIndex, OnTheLeft, + Upper | UnitDiag, Conj, RowMajor, ColMajor, 1 > ::run), + 0, + // array index: NOTR | (RIGHT << 2) | (LO << 3) | (UNIT << 4) + (Eigen::internal::triangular_solve_matrix < Scalar, DenseIndex, OnTheRight, + Lower | UnitDiag, false, ColMajor, ColMajor, 1 > ::run), + // array index: TR | (RIGHT << 2) | (LO << 3) | (UNIT << 4) + (Eigen::internal::triangular_solve_matrix < Scalar, DenseIndex, OnTheRight, + Upper | UnitDiag, false, RowMajor, ColMajor, 1 > ::run), + // array index: ADJ | (RIGHT << 2) | (LO << 3) | (UNIT << 4) + (Eigen::internal::triangular_solve_matrix < Scalar, DenseIndex, OnTheRight, + Upper | UnitDiag, Conj, RowMajor, ColMajor, 1 > ::run), + 0}; const Scalar *a = reinterpret_cast(pa); Scalar *b = reinterpret_cast(pb); @@ -377,87 +376,86 @@ EIGEN_BLAS_FUNC(trmm) typedef void (*functype)(DenseIndex, DenseIndex, DenseIndex, const Scalar *, DenseIndex, const Scalar *, DenseIndex, Scalar *, DenseIndex, DenseIndex, const Scalar &, Eigen::internal::level3_blocking &); - static const functype func[32] = { - // array index: NOTR | (LEFT << 2) | (UP << 3) | (NUNIT << 4) - (Eigen::internal::product_triangular_matrix_matrix::run), - // array index: TR | (LEFT << 2) | (UP << 3) | (NUNIT << 4) - (Eigen::internal::product_triangular_matrix_matrix::run), - // array index: ADJ | (LEFT << 2) | (UP << 3) | (NUNIT << 4) - (Eigen::internal::product_triangular_matrix_matrix::run), - 0, - // array index: NOTR | (RIGHT << 2) | (UP << 3) | (NUNIT << 4) - (Eigen::internal::product_triangular_matrix_matrix::run), - // array index: TR | (RIGHT << 2) | (UP << 3) | (NUNIT << 4) - (Eigen::internal::product_triangular_matrix_matrix::run), - // array index: ADJ | (RIGHT << 2) | (UP << 3) | (NUNIT << 4) - (Eigen::internal::product_triangular_matrix_matrix::run), - 0, - // array index: NOTR | (LEFT << 2) | (LO << 3) | (NUNIT << 4) - (Eigen::internal::product_triangular_matrix_matrix::run), - // array index: TR | (LEFT << 2) | (LO << 3) | (NUNIT << 4) - (Eigen::internal::product_triangular_matrix_matrix::run), - // array index: ADJ | (LEFT << 2) | (LO << 3) | (NUNIT << 4) - (Eigen::internal::product_triangular_matrix_matrix::run), - 0, - // array index: NOTR | (RIGHT << 2) | (LO << 3) | (NUNIT << 4) - (Eigen::internal::product_triangular_matrix_matrix::run), - // array index: TR | (RIGHT << 2) | (LO << 3) | (NUNIT << 4) - (Eigen::internal::product_triangular_matrix_matrix::run), - // array index: ADJ | (RIGHT << 2) | (LO << 3) | (NUNIT << 4) - (Eigen::internal::product_triangular_matrix_matrix::run), - 0, - // array index: NOTR | (LEFT << 2) | (UP << 3) | (UNIT << 4) - (Eigen::internal::product_triangular_matrix_matrix::run), - // array index: TR | (LEFT << 2) | (UP << 3) | (UNIT << 4) - (Eigen::internal::product_triangular_matrix_matrix::run), - // array index: ADJ | (LEFT << 2) | (UP << 3) | (UNIT << 4) - (Eigen::internal::product_triangular_matrix_matrix::run), - 0, - // array index: NOTR | (RIGHT << 2) | (UP << 3) | (UNIT << 4) - (Eigen::internal::product_triangular_matrix_matrix::run), - // array index: TR | (RIGHT << 2) | (UP << 3) | (UNIT << 4) - (Eigen::internal::product_triangular_matrix_matrix::run), - // array index: ADJ | (RIGHT << 2) | (UP << 3) | (UNIT << 4) - (Eigen::internal::product_triangular_matrix_matrix::run), - 0, - // array index: NOTR | (LEFT << 2) | (LO << 3) | (UNIT << 4) - (Eigen::internal::product_triangular_matrix_matrix::run), - // array index: TR | (LEFT << 2) | (LO << 3) | (UNIT << 4) - (Eigen::internal::product_triangular_matrix_matrix::run), - // array index: ADJ | (LEFT << 2) | (LO << 3) | (UNIT << 4) - (Eigen::internal::product_triangular_matrix_matrix::run), - 0, - // array index: NOTR | (RIGHT << 2) | (LO << 3) | (UNIT << 4) - (Eigen::internal::product_triangular_matrix_matrix::run), - // array index: TR | (RIGHT << 2) | (LO << 3) | (UNIT << 4) - (Eigen::internal::product_triangular_matrix_matrix::run), - // array index: ADJ | (RIGHT << 2) | (LO << 3) | (UNIT << 4) - (Eigen::internal::product_triangular_matrix_matrix::run), - 0}; + static const functype func[32] = {// array index: NOTR | (LEFT << 2) | (UP << 3) | (NUNIT << 4) + (Eigen::internal::product_triangular_matrix_matrix < Scalar, DenseIndex, Upper | 0, + true, ColMajor, false, ColMajor, false, ColMajor, 1 > ::run), + // array index: TR | (LEFT << 2) | (UP << 3) | (NUNIT << 4) + (Eigen::internal::product_triangular_matrix_matrix < Scalar, DenseIndex, Lower | 0, + true, RowMajor, false, ColMajor, false, ColMajor, 1 > ::run), + // array index: ADJ | (LEFT << 2) | (UP << 3) | (NUNIT << 4) + (Eigen::internal::product_triangular_matrix_matrix < Scalar, DenseIndex, Lower | 0, + true, RowMajor, Conj, ColMajor, false, ColMajor, 1 > ::run), + 0, + // array index: NOTR | (RIGHT << 2) | (UP << 3) | (NUNIT << 4) + (Eigen::internal::product_triangular_matrix_matrix < Scalar, DenseIndex, Upper | 0, + false, ColMajor, false, ColMajor, false, ColMajor, 1 > ::run), + // array index: TR | (RIGHT << 2) | (UP << 3) | (NUNIT << 4) + (Eigen::internal::product_triangular_matrix_matrix < Scalar, DenseIndex, Lower | 0, + false, ColMajor, false, RowMajor, false, ColMajor, 1 > ::run), + // array index: ADJ | (RIGHT << 2) | (UP << 3) | (NUNIT << 4) + (Eigen::internal::product_triangular_matrix_matrix < Scalar, DenseIndex, Lower | 0, + false, ColMajor, false, RowMajor, Conj, ColMajor, 1 > ::run), + 0, + // array index: NOTR | (LEFT << 2) | (LO << 3) | (NUNIT << 4) + (Eigen::internal::product_triangular_matrix_matrix < Scalar, DenseIndex, Lower | 0, + true, ColMajor, false, ColMajor, false, ColMajor, 1 > ::run), + // array index: TR | (LEFT << 2) | (LO << 3) | (NUNIT << 4) + (Eigen::internal::product_triangular_matrix_matrix < Scalar, DenseIndex, Upper | 0, + true, RowMajor, false, ColMajor, false, ColMajor, 1 > ::run), + // array index: ADJ | (LEFT << 2) | (LO << 3) | (NUNIT << 4) + (Eigen::internal::product_triangular_matrix_matrix < Scalar, DenseIndex, Upper | 0, + true, RowMajor, Conj, ColMajor, false, ColMajor, 1 > ::run), + 0, + // array index: NOTR | (RIGHT << 2) | (LO << 3) | (NUNIT << 4) + (Eigen::internal::product_triangular_matrix_matrix < Scalar, DenseIndex, Lower | 0, + false, ColMajor, false, ColMajor, false, ColMajor, 1 > ::run), + // array index: TR | (RIGHT << 2) | (LO << 3) | (NUNIT << 4) + (Eigen::internal::product_triangular_matrix_matrix < Scalar, DenseIndex, Upper | 0, + false, ColMajor, false, RowMajor, false, ColMajor, 1 > ::run), + // array index: ADJ | (RIGHT << 2) | (LO << 3) | (NUNIT << 4) + (Eigen::internal::product_triangular_matrix_matrix < Scalar, DenseIndex, Upper | 0, + false, ColMajor, false, RowMajor, Conj, ColMajor, 1 > ::run), + 0, + // array index: NOTR | (LEFT << 2) | (UP << 3) | (UNIT << 4) + (Eigen::internal::product_triangular_matrix_matrix < Scalar, DenseIndex, + Upper | UnitDiag, true, ColMajor, false, ColMajor, false, ColMajor, 1 > ::run), + // array index: TR | (LEFT << 2) | (UP << 3) | (UNIT << 4) + (Eigen::internal::product_triangular_matrix_matrix < Scalar, DenseIndex, + Lower | UnitDiag, true, RowMajor, false, ColMajor, false, ColMajor, 1 > ::run), + // array index: ADJ | (LEFT << 2) | (UP << 3) | (UNIT << 4) + (Eigen::internal::product_triangular_matrix_matrix < Scalar, DenseIndex, + Lower | UnitDiag, true, RowMajor, Conj, ColMajor, false, ColMajor, 1 > ::run), + 0, + // array index: NOTR | (RIGHT << 2) | (UP << 3) | (UNIT << 4) + (Eigen::internal::product_triangular_matrix_matrix < Scalar, DenseIndex, + Upper | UnitDiag, false, ColMajor, false, ColMajor, false, ColMajor, 1 > ::run), + // array index: TR | (RIGHT << 2) | (UP << 3) | (UNIT << 4) + (Eigen::internal::product_triangular_matrix_matrix < Scalar, DenseIndex, + Lower | UnitDiag, false, ColMajor, false, RowMajor, false, ColMajor, 1 > ::run), + // array index: ADJ | (RIGHT << 2) | (UP << 3) | (UNIT << 4) + (Eigen::internal::product_triangular_matrix_matrix < Scalar, DenseIndex, + Lower | UnitDiag, false, ColMajor, false, RowMajor, Conj, ColMajor, 1 > ::run), + 0, + // array index: NOTR | (LEFT << 2) | (LO << 3) | (UNIT << 4) + (Eigen::internal::product_triangular_matrix_matrix < Scalar, DenseIndex, + Lower | UnitDiag, true, ColMajor, false, ColMajor, false, ColMajor, 1 > ::run), + // array index: TR | (LEFT << 2) | (LO << 3) | (UNIT << 4) + (Eigen::internal::product_triangular_matrix_matrix < Scalar, DenseIndex, + Upper | UnitDiag, true, RowMajor, false, ColMajor, false, ColMajor, 1 > ::run), + // array index: ADJ | (LEFT << 2) | (LO << 3) | (UNIT << 4) + (Eigen::internal::product_triangular_matrix_matrix < Scalar, DenseIndex, + Upper | UnitDiag, true, RowMajor, Conj, ColMajor, false, ColMajor, 1 > ::run), + 0, + // array index: NOTR | (RIGHT << 2) | (LO << 3) | (UNIT << 4) + (Eigen::internal::product_triangular_matrix_matrix < Scalar, DenseIndex, + Lower | UnitDiag, false, ColMajor, false, ColMajor, false, ColMajor, 1 > ::run), + // array index: TR | (RIGHT << 2) | (LO << 3) | (UNIT << 4) + (Eigen::internal::product_triangular_matrix_matrix < Scalar, DenseIndex, + Upper | UnitDiag, false, ColMajor, false, RowMajor, false, ColMajor, 1 > ::run), + // array index: ADJ | (RIGHT << 2) | (LO << 3) | (UNIT << 4) + (Eigen::internal::product_triangular_matrix_matrix < Scalar, DenseIndex, + Upper | UnitDiag, false, ColMajor, false, RowMajor, Conj, ColMajor, 1 > ::run), + 0}; const Scalar *a = reinterpret_cast(pa); Scalar *b = reinterpret_cast(pb); diff --git a/test/gpu_test_helper.h b/test/gpu_test_helper.h index bc8c8d410..f022d2069 100644 --- a/test/gpu_test_helper.h +++ b/test/gpu_test_helper.h @@ -104,9 +104,9 @@ struct void_helper { // Restores the original return type, Void -> void, T otherwise. template - static EIGEN_ALWAYS_INLINE EIGEN_DEVICE_FUNC - std::enable_if_t::type, Void>::value, T> - restore(T&& val) { + static EIGEN_ALWAYS_INLINE + EIGEN_DEVICE_FUNC std::enable_if_t::type, Void>::value, T> + restore(T&& val) { return val; } diff --git a/test/main.h b/test/main.h index db4d484fb..5c0001020 100644 --- a/test/main.h +++ b/test/main.h @@ -157,7 +157,9 @@ inline void on_temporary_creation(long int size, int) { } #define EIGEN_DENSE_STORAGE_CTOR_PLUGIN \ - { on_temporary_creation(size, Size); } + { \ + on_temporary_creation(size, Size); \ + } #define VERIFY_EVALUATION_COUNT(XPR, N) \ { \ @@ -337,7 +339,8 @@ static std::vector eigen_assert_list; #else // EIGEN_NO_ASSERTION_CHECKING #define VERIFY_RAISES_ASSERT(a) \ - {} + { \ + } #endif // EIGEN_NO_ASSERTION_CHECKING diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h b/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h index 97e7da3bd..79a01b964 100644 --- a/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h +++ b/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h @@ -691,8 +691,8 @@ struct TensorContractionEvaluatorBase { #if !defined(EIGEN_HIPCC) EIGEN_DEVICE_FUNC #endif - void - evalGemv(Scalar* buffer) const { + void + evalGemv(Scalar* buffer) const { const Index rows = m_i_size; const Index cols = m_k_size; @@ -735,8 +735,8 @@ struct TensorContractionEvaluatorBase { #if !defined(EIGEN_HIPCC) EIGEN_DEVICE_FUNC #endif - void - evalGemm(Scalar* buffer) const { + void + evalGemm(Scalar* buffer) const { // columns in left side, rows in right side const Index k = this->m_k_size; this->template evalGemmPartial - EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE - std::enable_if_t::size == packet_size, PacketT> - load(Index i, Index j) const { + EIGEN_DEVICE_FUNC + EIGEN_STRONG_INLINE std::enable_if_t::size == packet_size, PacketT> + load(Index i, Index j) const { // whole method makes column major assumption // don't need to add offsets for now (because operator handles that) @@ -292,9 +292,9 @@ class BaseTensorContractionMapper } template - EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE - std::enable_if_t::size != packet_size, PacketT> - load(Index i, Index j) const { + EIGEN_DEVICE_FUNC + EIGEN_STRONG_INLINE std::enable_if_t::size != packet_size, PacketT> + load(Index i, Index j) const { const Index requested_packet_size = internal::unpacket_traits::size; EIGEN_ALIGN_MAX Scalar data[requested_packet_size]; diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorContractionSycl.h b/unsupported/Eigen/CXX11/src/Tensor/TensorContractionSycl.h index ea210a1f8..11f637552 100644 --- a/unsupported/Eigen/CXX11/src/Tensor/TensorContractionSycl.h +++ b/unsupported/Eigen/CXX11/src/Tensor/TensorContractionSycl.h @@ -245,9 +245,9 @@ static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE std::enable_if_t

static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE - typename std::enable_if_t::size != 1 && dt == data_source::global_mem, - void> - write(PacketType &packet_data, DataScalar *ptr) { +typename std::enable_if_t::size != 1 && dt == data_source::global_mem, + void> +write(PacketType &packet_data, DataScalar *ptr) { ::Eigen::internal::pstoreu(ptr, packet_data); } @@ -266,9 +266,9 @@ static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE */ template static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE - typename std::enable_if_t::size == 1 && dt == data_source::global_mem, - void> - write(PacketType &packet_data, DataScalar *ptr) { +typename std::enable_if_t::size == 1 && dt == data_source::global_mem, + void> +write(PacketType &packet_data, DataScalar *ptr) { *ptr = packet_data; } diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h b/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h index b8bdf7c8a..59b798f00 100644 --- a/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h +++ b/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h @@ -932,9 +932,7 @@ struct TensorEvaluator 1) { Index mid = (start + end) / 2; - device_.enqueue([this, mid, end, k, rhs]() { - enqueue_packing_helper(mid, end, k, rhs); - }); + device_.enqueue([this, mid, end, k, rhs]() { enqueue_packing_helper(mid, end, k, rhs); }); end = mid; } @@ -1000,9 +996,7 @@ struct TensorEvaluator 0 || std::this_thread::get_id() == created_by_thread_id_); if (pack_async) { - device_.enqueue([this, start, end, k, rhs]() { - enqueue_packing_helper(start, end, k, rhs); - }); + device_.enqueue([this, start, end, k, rhs]() { enqueue_packing_helper(start, end, k, rhs); }); } else { enqueue_packing_helper(start, end, k, rhs); } @@ -1283,9 +1277,7 @@ struct TensorEvaluator 1) { Index mid_block_idx = (start_block_idx + end_block_idx) / 2; evaluator->m_device.enqueue( - [this, mid_block_idx, end_block_idx]() { - evalAsync(mid_block_idx, end_block_idx); - }); + [this, mid_block_idx, end_block_idx]() { evalAsync(mid_block_idx, end_block_idx); }); end_block_idx = mid_block_idx; } diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorDimensions.h b/unsupported/Eigen/CXX11/src/Tensor/TensorDimensions.h index e20052c92..d495b0f27 100644 --- a/unsupported/Eigen/CXX11/src/Tensor/TensorDimensions.h +++ b/unsupported/Eigen/CXX11/src/Tensor/TensorDimensions.h @@ -28,9 +28,7 @@ struct fixed_size_tensor_index_linearization_helper { template EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE Index run(array const& indices, const Dimensions& dimensions) { - return array_get < RowMajor ? n - 1 - : (NumIndices - n) > (indices) + dget < RowMajor ? n - 1 - : (NumIndices - n), + return array_get(indices) + dget < RowMajor ? n - 1 : (NumIndices - n), Dimensions > ::value * fixed_size_tensor_index_linearization_helper::run( indices, dimensions); } @@ -133,12 +131,9 @@ template const& indices, array const& dimensions) { - return array_get < RowMajor ? n - : (NumIndices - n - 1) > (indices) + array_get < RowMajor - ? n - : (NumIndices - n - 1) > - (dimensions)*tensor_index_linearization_helper::run( - indices, dimensions); + return array_get(indices) + + array_get(dimensions) * + tensor_index_linearization_helper::run(indices, dimensions); } }; @@ -146,7 +141,7 @@ template struct tensor_index_linearization_helper { static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index run(array const& indices, array const&) { - return array_get < RowMajor ? 0 : NumIndices - 1 > (indices); + return array_get(indices); } }; } // end namespace internal @@ -259,12 +254,9 @@ template const& indices, std::vector const& dimensions) { - return array_get < RowMajor ? n - : (NumIndices - n - 1) > (indices) + array_get < RowMajor - ? n - : (NumIndices - n - 1) > - (dimensions)*tensor_vsize_index_linearization_helper::run( - indices, dimensions); + return array_get(indices) + + array_get(dimensions) * + tensor_vsize_index_linearization_helper::run(indices, dimensions); } }; @@ -272,7 +264,7 @@ template struct tensor_vsize_index_linearization_helper { static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index run(array const& indices, std::vector const&) { - return array_get < RowMajor ? 0 : NumIndices - 1 > (indices); + return array_get(indices); } }; } // end namespace internal diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorEvalTo.h b/unsupported/Eigen/CXX11/src/Tensor/TensorEvalTo.h index 9bc0eac98..ce73738c0 100644 --- a/unsupported/Eigen/CXX11/src/Tensor/TensorEvalTo.h +++ b/unsupported/Eigen/CXX11/src/Tensor/TensorEvalTo.h @@ -134,7 +134,7 @@ struct TensorEvaluator, Device> { EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalScalar(Index i) const { m_buffer[i] = m_impl.coeff(i); } EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalPacket(Index i) const { internal::pstoret( - m_buffer + i, m_impl.template packet < TensorEvaluator::IsAligned ? Aligned : Unaligned > (i)); + m_buffer + i, m_impl.template packet::IsAligned ? Aligned : Unaligned>(i)); } EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE internal::TensorBlockResourceRequirements getResourceRequirements() const { diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h b/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h index 5544953e2..c6a47e2f3 100644 --- a/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h +++ b/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h @@ -107,8 +107,8 @@ struct TensorEvaluator { // Function has been templatized to enable Sfinae. template EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE - std::enable_if_t::masked_load_available, PacketReturnTypeT> - partialPacket(Index index, typename internal::unpacket_traits::mask_t umask) const { + std::enable_if_t::masked_load_available, PacketReturnTypeT> + partialPacket(Index index, typename internal::unpacket_traits::mask_t umask) const { return internal::ploadu(m_data + index, umask); } @@ -269,8 +269,8 @@ struct TensorEvaluator { // Function has been templatized to enable Sfinae. template EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE - std::enable_if_t::masked_load_available, PacketReturnTypeT> - partialPacket(Index index, typename internal::unpacket_traits::mask_t umask) const { + std::enable_if_t::masked_load_available, PacketReturnTypeT> + partialPacket(Index index, typename internal::unpacket_traits::mask_t umask) const { return internal::ploadu(m_data + index, umask); } diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorFFT.h b/unsupported/Eigen/CXX11/src/Tensor/TensorFFT.h index b9d6f376b..bfacc57fe 100644 --- a/unsupported/Eigen/CXX11/src/Tensor/TensorFFT.h +++ b/unsupported/Eigen/CXX11/src/Tensor/TensorFFT.h @@ -57,7 +57,7 @@ struct PartOf { namespace internal { template -struct traits > : public traits { +struct traits> : public traits { typedef traits XprTraits; typedef typename XprTraits::Scalar Scalar; typedef typename NumTraits::Real RealScalar; @@ -81,7 +81,7 @@ struct eval, Eigen::Dense template struct nested, 1, - typename eval >::type> { + typename eval>::type> { typedef TensorFFTOp type; }; diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h b/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h index 9bbf945f7..4a5041573 100644 --- a/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h +++ b/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h @@ -386,7 +386,7 @@ struct FullReducer { Barrier barrier(internal::convert_index(numblocks)); MaxSizeVector shards(numblocks, reducer.initialize()); for (Index i = 0; i < numblocks; ++i) { - auto run_shard = [i, blocksize, &self, &barrier, &shards, &reducer](){ + auto run_shard = [i, blocksize, &self, &barrier, &shards, &reducer]() { shards[i] = InnerMostDimReducer::reduce(self, i * blocksize, blocksize, reducer); barrier.Notify(); }; diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorStorage.h b/unsupported/Eigen/CXX11/src/Tensor/TensorStorage.h index 62686ce69..91cd27a4e 100644 --- a/unsupported/Eigen/CXX11/src/Tensor/TensorStorage.h +++ b/unsupported/Eigen/CXX11/src/Tensor/TensorStorage.h @@ -67,22 +67,24 @@ class TensorStorage, Options_> { EIGEN_DEVICE_FUNC TensorStorage() : m_data(0), m_dimensions() { if (NumIndices_ == 0) { - m_data = internal::conditional_aligned_new_auto(1); + m_data = internal::conditional_aligned_new_auto < T, (Options_ & DontAlign) == 0 > (1); } } EIGEN_DEVICE_FUNC TensorStorage(Index size, const array& dimensions) - : m_data(internal::conditional_aligned_new_auto(size)), m_dimensions(dimensions) { + : m_data(internal::conditional_aligned_new_auto < T, (Options_ & DontAlign) == 0 > (size)), + m_dimensions(dimensions) { EIGEN_INTERNAL_TENSOR_STORAGE_CTOR_PLUGIN } template EIGEN_DEVICE_FUNC TensorStorage(DenseIndex... indices) : m_dimensions(indices...) { - m_data = internal::conditional_aligned_new_auto(internal::array_prod(m_dimensions)); + m_data = internal::conditional_aligned_new_auto < T, + (Options_ & DontAlign) == 0 > (internal::array_prod(m_dimensions)); } EIGEN_DEVICE_FUNC TensorStorage(const Self& other) - : m_data(internal::conditional_aligned_new_auto( - internal::array_prod(other.m_dimensions))), + : m_data(internal::conditional_aligned_new_auto < T, + (Options_ & DontAlign) == 0 > (internal::array_prod(other.m_dimensions))), m_dimensions(other.m_dimensions) { internal::smart_copy(other.m_data, other.m_data + internal::array_prod(other.m_dimensions), m_data); } @@ -118,9 +120,9 @@ class TensorStorage, Options_> { if (size != currentSz) { internal::conditional_aligned_delete_auto(m_data, currentSz); if (size) - m_data = internal::conditional_aligned_new_auto(size); + m_data = internal::conditional_aligned_new_auto < T, (Options_ & DontAlign) == 0 > (size); else if (NumIndices_ == 0) { - m_data = internal::conditional_aligned_new_auto(1); + m_data = internal::conditional_aligned_new_auto < T, (Options_ & DontAlign) == 0 > (1); } else m_data = 0; EIGEN_INTERNAL_DENSE_STORAGE_CTOR_PLUGIN({}) diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorVolumePatch.h b/unsupported/Eigen/CXX11/src/Tensor/TensorVolumePatch.h index acdb27701..742e492c7 100644 --- a/unsupported/Eigen/CXX11/src/Tensor/TensorVolumePatch.h +++ b/unsupported/Eigen/CXX11/src/Tensor/TensorVolumePatch.h @@ -449,8 +449,7 @@ struct TensorEvaluator, D // Find the offset of the element wrt the location of the first element. Index first_entry = (indices[0] - patchIndex * m_patchStride) / m_fastOutputDepth; - Index second_entry = PacketSize == 1 ? first_entry : - (indices[1] - patchIndex * m_patchStride) / m_fastOutputDepth; + Index second_entry = PacketSize == 1 ? first_entry : (indices[1] - patchIndex * m_patchStride) / m_fastOutputDepth; const Index patchOffsets[2] = {first_entry, second_entry}; diff --git a/unsupported/Eigen/src/SparseExtra/BlockSparseMatrix.h b/unsupported/Eigen/src/SparseExtra/BlockSparseMatrix.h index 6e8be8490..5d3a562b3 100644 --- a/unsupported/Eigen/src/SparseExtra/BlockSparseMatrix.h +++ b/unsupported/Eigen/src/SparseExtra/BlockSparseMatrix.h @@ -436,8 +436,8 @@ class BlockSparseMatrix // Insert the value m_values[idxVal] = it_spmat.value(); } // end of this column - } // end of this block - } // end of this outer block + } // end of this block + } // end of this outer block return *this; } -- GitLab