[Perf] Linux/x64: 9 Regressions on 7/9/2024 1:59:56 PM #104974

Description

@performanceautofiler

Run Information

NameValue
Architecturex64
OSubuntu 22.04
QueueViperUbuntu
Baseline13cf2649ad245ede1ed6e790079955db4c2fea54
Compare5795e8c056c14741b80dfa304a974f5c0d72432a
DiffDiff
ConfigsCompilationMode:tiered, RunKind:micro

Regressions in System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>

BenchmarkBaselineTestTest/BaseTest QualityEdge DetectorBaseline IRCompare IRIR Ratio
381.39 ns574.28 ns1.510.44False
7.41 ns10.37 ns1.400.37False
12.42 ns16.79 ns1.350.19False
507.13 ns656.26 ns1.290.05True
15.59 ns18.97 ns1.220.12True
19.04 ns20.28 ns1.070.12False
8.34 ns10.24 ns1.230.32False
23.75 ns32.94 ns1.390.04False
15.46 ns18.24 ns1.180.22False

graph
graph
graph
graph
graph
graph
graph
graph
graph
Test Report

Repro

General Docs link: https://github.com/dotnet/performance/blob/main/docs/benchmarking-workflow-dotnet-runtime.md

git clone https://github.com/dotnet/performance.git
python3 .\performance\scripts\benchmarks_ci.py -f net8.0 --filter 'System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives&lt;Single&gt;*'
Details

System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max_Vector(BufferLength: 3079)

ETL Files

Histogram

JIT Disasms

System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Abs(BufferLength: 128)

ETL Files

Histogram

JIT Disasms

System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max_Scalar(BufferLength: 128)

ETL Files

Histogram

JIT Disasms

System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max(BufferLength: 3079)

ETL Files

Histogram

JIT Disasms

System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.MaxMagnitude_Scalar(BufferLength: 128)

ETL Files

Histogram

JIT Disasms

System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.MaxMagnitude_Vector(BufferLength: 128)

ETL Files

Histogram

JIT Disasms

System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.BitwiseAnd_Scalar(BufferLength: 128)

ETL Files

Histogram

JIT Disasms

System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max(BufferLength: 128)

ETL Files

Histogram

JIT Disasms

System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max_Vector(BufferLength: 128)

ETL Files

Histogram

JIT Disasms

Docs

Profiling workflow for dotnet/runtime repository
Benchmarking workflow for dotnet/runtime repository

Metadata

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    , 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all
     blocks
    (function() {
    function addCopyButtons() {
    document.querySelectorAll('pre code').forEach(function(codeBlock) {
    if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
    codeBlock.parentElement.setAttribute('data-copy-added', 'true');
    var btn = document.createElement('button');
    btn.textContent = 'Copy';
    btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';
    btn.onmouseover = function() { this.style.opacity = '1'; };
    btn.onmouseout = function() { this.style.opacity = '0.7'; };
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    navigator.clipboard.writeText(codeBlock.textContent).then(function() {
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    observer.observe(document.body, { childList: true, subtree: true });
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    })();
    (function(){
    try {
    var __m = "github.com";
    var __re = new RegExp('^' + "github\\.com" + '
    
    Skip to content

    [Perf] Linux/x64: 9 Regressions on 7/9/2024 1:59:56 PM #104974

    Description

    @performanceautofiler

    Run Information

    NameValue
    Architecturex64
    OSubuntu 22.04
    QueueViperUbuntu
    Baseline13cf2649ad245ede1ed6e790079955db4c2fea54
    Compare5795e8c056c14741b80dfa304a974f5c0d72432a
    DiffDiff
    ConfigsCompilationMode:tiered, RunKind:micro

    Regressions in System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>

    BenchmarkBaselineTestTest/BaseTest QualityEdge DetectorBaseline IRCompare IRIR Ratio
    381.39 ns574.28 ns1.510.44False
    7.41 ns10.37 ns1.400.37False
    12.42 ns16.79 ns1.350.19False
    507.13 ns656.26 ns1.290.05True
    15.59 ns18.97 ns1.220.12True
    19.04 ns20.28 ns1.070.12False
    8.34 ns10.24 ns1.230.32False
    23.75 ns32.94 ns1.390.04False
    15.46 ns18.24 ns1.180.22False

    graph
    graph
    graph
    graph
    graph
    graph
    graph
    graph
    graph
    Test Report

    Repro

    General Docs link: https://github.com/dotnet/performance/blob/main/docs/benchmarking-workflow-dotnet-runtime.md

    git clone https://github.com/dotnet/performance.git
    python3 .\performance\scripts\benchmarks_ci.py -f net8.0 --filter 'System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives&lt;Single&gt;*'
    Details

    System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max_Vector(BufferLength: 3079)

    ETL Files

    Histogram

    JIT Disasms

    System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Abs(BufferLength: 128)

    ETL Files

    Histogram

    JIT Disasms

    System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max_Scalar(BufferLength: 128)

    ETL Files

    Histogram

    JIT Disasms

    System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max(BufferLength: 3079)

    ETL Files

    Histogram

    JIT Disasms

    System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.MaxMagnitude_Scalar(BufferLength: 128)

    ETL Files

    Histogram

    JIT Disasms

    System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.MaxMagnitude_Vector(BufferLength: 128)

    ETL Files

    Histogram

    JIT Disasms

    System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.BitwiseAnd_Scalar(BufferLength: 128)

    ETL Files

    Histogram

    JIT Disasms

    System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max(BufferLength: 128)

    ETL Files

    Histogram

    JIT Disasms

    System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max_Vector(BufferLength: 128)

    ETL Files

    Histogram

    JIT Disasms

    Docs

    Profiling workflow for dotnet/runtime repository
    Benchmarking workflow for dotnet/runtime repository

    Metadata

    Metadata

    Assignees

    Type

    No type

    Projects

    No projects

      Milestone

      No milestone

      Relationships

      None yet

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      No branches or pull requests

      Issue actions

      , 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
      Skip to content

      [Perf] Linux/x64: 9 Regressions on 7/9/2024 1:59:56 PM #104974

      Description

      @performanceautofiler

      Run Information

      NameValue
      Architecturex64
      OSubuntu 22.04
      QueueViperUbuntu
      Baseline13cf2649ad245ede1ed6e790079955db4c2fea54
      Compare5795e8c056c14741b80dfa304a974f5c0d72432a
      DiffDiff
      ConfigsCompilationMode:tiered, RunKind:micro

      Regressions in System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>

      BenchmarkBaselineTestTest/BaseTest QualityEdge DetectorBaseline IRCompare IRIR Ratio
      381.39 ns574.28 ns1.510.44False
      7.41 ns10.37 ns1.400.37False
      12.42 ns16.79 ns1.350.19False
      507.13 ns656.26 ns1.290.05True
      15.59 ns18.97 ns1.220.12True
      19.04 ns20.28 ns1.070.12False
      8.34 ns10.24 ns1.230.32False
      23.75 ns32.94 ns1.390.04False
      15.46 ns18.24 ns1.180.22False

      graph
      graph
      graph
      graph
      graph
      graph
      graph
      graph
      graph
      Test Report

      Repro

      General Docs link: https://github.com/dotnet/performance/blob/main/docs/benchmarking-workflow-dotnet-runtime.md

      git clone https://github.com/dotnet/performance.git
      python3 .\performance\scripts\benchmarks_ci.py -f net8.0 --filter 'System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives&lt;Single&gt;*'
      Details

      System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max_Vector(BufferLength: 3079)

      ETL Files

      Histogram

      JIT Disasms

      System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Abs(BufferLength: 128)

      ETL Files

      Histogram

      JIT Disasms

      System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max_Scalar(BufferLength: 128)

      ETL Files

      Histogram

      JIT Disasms

      System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max(BufferLength: 3079)

      ETL Files

      Histogram

      JIT Disasms

      System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.MaxMagnitude_Scalar(BufferLength: 128)

      ETL Files

      Histogram

      JIT Disasms

      System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.MaxMagnitude_Vector(BufferLength: 128)

      ETL Files

      Histogram

      JIT Disasms

      System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.BitwiseAnd_Scalar(BufferLength: 128)

      ETL Files

      Histogram

      JIT Disasms

      System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max(BufferLength: 128)

      ETL Files

      Histogram

      JIT Disasms

      System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max_Vector(BufferLength: 128)

      ETL Files

      Histogram

      JIT Disasms

      Docs

      Profiling workflow for dotnet/runtime repository
      Benchmarking workflow for dotnet/runtime repository

      Metadata

      Metadata

      Assignees

      Type

      No type

      Projects

      No projects

        Milestone

        No milestone

        Relationships

        None yet

        Development

        No branches or pull requests

        Issue actions

        , 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
        Skip to content

        [Perf] Linux/x64: 9 Regressions on 7/9/2024 1:59:56 PM #104974

        Description

        @performanceautofiler

        Run Information

        NameValue
        Architecturex64
        OSubuntu 22.04
        QueueViperUbuntu
        Baseline13cf2649ad245ede1ed6e790079955db4c2fea54
        Compare5795e8c056c14741b80dfa304a974f5c0d72432a
        DiffDiff
        ConfigsCompilationMode:tiered, RunKind:micro

        Regressions in System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>

        BenchmarkBaselineTestTest/BaseTest QualityEdge DetectorBaseline IRCompare IRIR Ratio
        381.39 ns574.28 ns1.510.44False
        7.41 ns10.37 ns1.400.37False
        12.42 ns16.79 ns1.350.19False
        507.13 ns656.26 ns1.290.05True
        15.59 ns18.97 ns1.220.12True
        19.04 ns20.28 ns1.070.12False
        8.34 ns10.24 ns1.230.32False
        23.75 ns32.94 ns1.390.04False
        15.46 ns18.24 ns1.180.22False

        graph
        graph
        graph
        graph
        graph
        graph
        graph
        graph
        graph
        Test Report

        Repro

        General Docs link: https://github.com/dotnet/performance/blob/main/docs/benchmarking-workflow-dotnet-runtime.md

        git clone https://github.com/dotnet/performance.git
        python3 .\performance\scripts\benchmarks_ci.py -f net8.0 --filter 'System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives&lt;Single&gt;*'
        Details

        System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max_Vector(BufferLength: 3079)

        ETL Files

        Histogram

        JIT Disasms

        System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Abs(BufferLength: 128)

        ETL Files

        Histogram

        JIT Disasms

        System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max_Scalar(BufferLength: 128)

        ETL Files

        Histogram

        JIT Disasms

        System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max(BufferLength: 3079)

        ETL Files

        Histogram

        JIT Disasms

        System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.MaxMagnitude_Scalar(BufferLength: 128)

        ETL Files

        Histogram

        JIT Disasms

        System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.MaxMagnitude_Vector(BufferLength: 128)

        ETL Files

        Histogram

        JIT Disasms

        System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.BitwiseAnd_Scalar(BufferLength: 128)

        ETL Files

        Histogram

        JIT Disasms

        System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max(BufferLength: 128)

        ETL Files

        Histogram

        JIT Disasms

        System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max_Vector(BufferLength: 128)

        ETL Files

        Histogram

        JIT Disasms

        Docs

        Profiling workflow for dotnet/runtime repository
        Benchmarking workflow for dotnet/runtime repository

        Metadata

        Metadata

        Assignees

        Type

        No type

        Projects

        No projects

          Milestone

          No milestone

          Relationships

          None yet

          Development

          No branches or pull requests

          Issue actions

          , 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
          Skip to content

          [Perf] Linux/x64: 9 Regressions on 7/9/2024 1:59:56 PM #104974

          Description

          @performanceautofiler

          Run Information

          NameValue
          Architecturex64
          OSubuntu 22.04
          QueueViperUbuntu
          Baseline13cf2649ad245ede1ed6e790079955db4c2fea54
          Compare5795e8c056c14741b80dfa304a974f5c0d72432a
          DiffDiff
          ConfigsCompilationMode:tiered, RunKind:micro

          Regressions in System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>

          BenchmarkBaselineTestTest/BaseTest QualityEdge DetectorBaseline IRCompare IRIR Ratio
          381.39 ns574.28 ns1.510.44False
          7.41 ns10.37 ns1.400.37False
          12.42 ns16.79 ns1.350.19False
          507.13 ns656.26 ns1.290.05True
          15.59 ns18.97 ns1.220.12True
          19.04 ns20.28 ns1.070.12False
          8.34 ns10.24 ns1.230.32False
          23.75 ns32.94 ns1.390.04False
          15.46 ns18.24 ns1.180.22False

          graph
          graph
          graph
          graph
          graph
          graph
          graph
          graph
          graph
          Test Report

          Repro

          General Docs link: https://github.com/dotnet/performance/blob/main/docs/benchmarking-workflow-dotnet-runtime.md

          git clone https://github.com/dotnet/performance.git
          python3 .\performance\scripts\benchmarks_ci.py -f net8.0 --filter 'System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives&lt;Single&gt;*'
          Details

          System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max_Vector(BufferLength: 3079)

          ETL Files

          Histogram

          JIT Disasms

          System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Abs(BufferLength: 128)

          ETL Files

          Histogram

          JIT Disasms

          System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max_Scalar(BufferLength: 128)

          ETL Files

          Histogram

          JIT Disasms

          System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max(BufferLength: 3079)

          ETL Files

          Histogram

          JIT Disasms

          System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.MaxMagnitude_Scalar(BufferLength: 128)

          ETL Files

          Histogram

          JIT Disasms

          System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.MaxMagnitude_Vector(BufferLength: 128)

          ETL Files

          Histogram

          JIT Disasms

          System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.BitwiseAnd_Scalar(BufferLength: 128)

          ETL Files

          Histogram

          JIT Disasms

          System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max(BufferLength: 128)

          ETL Files

          Histogram

          JIT Disasms

          System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max_Vector(BufferLength: 128)

          ETL Files

          Histogram

          JIT Disasms

          Docs

          Profiling workflow for dotnet/runtime repository
          Benchmarking workflow for dotnet/runtime repository

          Metadata

          Metadata

          Assignees

          Type

          No type

          Projects

          No projects

            Milestone

            No milestone

            Relationships

            None yet

            Development

            No branches or pull requests

            Issue actions

            , 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
            Skip to content

            [Perf] Linux/x64: 9 Regressions on 7/9/2024 1:59:56 PM #104974

            Description

            @performanceautofiler

            Run Information

            NameValue
            Architecturex64
            OSubuntu 22.04
            QueueViperUbuntu
            Baseline13cf2649ad245ede1ed6e790079955db4c2fea54
            Compare5795e8c056c14741b80dfa304a974f5c0d72432a
            DiffDiff
            ConfigsCompilationMode:tiered, RunKind:micro

            Regressions in System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>

            BenchmarkBaselineTestTest/BaseTest QualityEdge DetectorBaseline IRCompare IRIR Ratio
            381.39 ns574.28 ns1.510.44False
            7.41 ns10.37 ns1.400.37False
            12.42 ns16.79 ns1.350.19False
            507.13 ns656.26 ns1.290.05True
            15.59 ns18.97 ns1.220.12True
            19.04 ns20.28 ns1.070.12False
            8.34 ns10.24 ns1.230.32False
            23.75 ns32.94 ns1.390.04False
            15.46 ns18.24 ns1.180.22False

            graph
            graph
            graph
            graph
            graph
            graph
            graph
            graph
            graph
            Test Report

            Repro

            General Docs link: https://github.com/dotnet/performance/blob/main/docs/benchmarking-workflow-dotnet-runtime.md

            git clone https://github.com/dotnet/performance.git
            python3 .\performance\scripts\benchmarks_ci.py -f net8.0 --filter 'System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives&lt;Single&gt;*'
            Details

            System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max_Vector(BufferLength: 3079)

            ETL Files

            Histogram

            JIT Disasms

            System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Abs(BufferLength: 128)

            ETL Files

            Histogram

            JIT Disasms

            System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max_Scalar(BufferLength: 128)

            ETL Files

            Histogram

            JIT Disasms

            System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max(BufferLength: 3079)

            ETL Files

            Histogram

            JIT Disasms

            System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.MaxMagnitude_Scalar(BufferLength: 128)

            ETL Files

            Histogram

            JIT Disasms

            System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.MaxMagnitude_Vector(BufferLength: 128)

            ETL Files

            Histogram

            JIT Disasms

            System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.BitwiseAnd_Scalar(BufferLength: 128)

            ETL Files

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            JIT Disasms

            System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max(BufferLength: 128)

            ETL Files

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            JIT Disasms

            System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max_Vector(BufferLength: 128)

            ETL Files

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              , 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
              Skip to content

              [Perf] Linux/x64: 9 Regressions on 7/9/2024 1:59:56 PM #104974

              Description

              @performanceautofiler

              Run Information

              NameValue
              Architecturex64
              OSubuntu 22.04
              QueueViperUbuntu
              Baseline13cf2649ad245ede1ed6e790079955db4c2fea54
              Compare5795e8c056c14741b80dfa304a974f5c0d72432a
              DiffDiff
              ConfigsCompilationMode:tiered, RunKind:micro

              Regressions in System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>

              BenchmarkBaselineTestTest/BaseTest QualityEdge DetectorBaseline IRCompare IRIR Ratio
              381.39 ns574.28 ns1.510.44False
              7.41 ns10.37 ns1.400.37False
              12.42 ns16.79 ns1.350.19False
              507.13 ns656.26 ns1.290.05True
              15.59 ns18.97 ns1.220.12True
              19.04 ns20.28 ns1.070.12False
              8.34 ns10.24 ns1.230.32False
              23.75 ns32.94 ns1.390.04False
              15.46 ns18.24 ns1.180.22False

              graph
              graph
              graph
              graph
              graph
              graph
              graph
              graph
              graph
              Test Report

              Repro

              General Docs link: https://github.com/dotnet/performance/blob/main/docs/benchmarking-workflow-dotnet-runtime.md

              git clone https://github.com/dotnet/performance.git
              python3 .\performance\scripts\benchmarks_ci.py -f net8.0 --filter 'System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives&lt;Single&gt;*'
              Details

              System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max_Vector(BufferLength: 3079)

              ETL Files

              Histogram

              JIT Disasms

              System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Abs(BufferLength: 128)

              ETL Files

              Histogram

              JIT Disasms

              System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max_Scalar(BufferLength: 128)

              ETL Files

              Histogram

              JIT Disasms

              System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max(BufferLength: 3079)

              ETL Files

              Histogram

              JIT Disasms

              System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.MaxMagnitude_Scalar(BufferLength: 128)

              ETL Files

              Histogram

              JIT Disasms

              System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.MaxMagnitude_Vector(BufferLength: 128)

              ETL Files

              Histogram

              JIT Disasms

              System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.BitwiseAnd_Scalar(BufferLength: 128)

              ETL Files

              Histogram

              JIT Disasms

              System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max(BufferLength: 128)

              ETL Files

              Histogram

              JIT Disasms

              System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max_Vector(BufferLength: 128)

              ETL Files

              Histogram

              JIT Disasms

              Docs

              Profiling workflow for dotnet/runtime repository
              Benchmarking workflow for dotnet/runtime repository

              Metadata

              Metadata

              Assignees

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              No type

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              No projects

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                No milestone

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                None yet

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                No branches or pull requests

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                , 'i'); if (__m === '*' || __re.test(location.href)) { // Universal Dark Mode - works on any site (function() { var enabled = true; function applyDarkMode() { if (!enabled) return; // Create style element if it doesn't exist var style = document.getElementById('universal-dark-mode-style'); if (!style) { style = document.createElement('style'); style.id = 'universal-dark-mode-style'; document.head.appendChild(style); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
                Skip to content

                [Perf] Linux/x64: 9 Regressions on 7/9/2024 1:59:56 PM #104974

                Description

                @performanceautofiler

                Run Information

                NameValue
                Architecturex64
                OSubuntu 22.04
                QueueViperUbuntu
                Baseline13cf2649ad245ede1ed6e790079955db4c2fea54
                Compare5795e8c056c14741b80dfa304a974f5c0d72432a
                DiffDiff
                ConfigsCompilationMode:tiered, RunKind:micro

                Regressions in System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>

                BenchmarkBaselineTestTest/BaseTest QualityEdge DetectorBaseline IRCompare IRIR Ratio
                381.39 ns574.28 ns1.510.44False
                7.41 ns10.37 ns1.400.37False
                12.42 ns16.79 ns1.350.19False
                507.13 ns656.26 ns1.290.05True
                15.59 ns18.97 ns1.220.12True
                19.04 ns20.28 ns1.070.12False
                8.34 ns10.24 ns1.230.32False
                23.75 ns32.94 ns1.390.04False
                15.46 ns18.24 ns1.180.22False

                graph
                graph
                graph
                graph
                graph
                graph
                graph
                graph
                graph
                Test Report

                Repro

                General Docs link: https://github.com/dotnet/performance/blob/main/docs/benchmarking-workflow-dotnet-runtime.md

                git clone https://github.com/dotnet/performance.git
                python3 .\performance\scripts\benchmarks_ci.py -f net8.0 --filter 'System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives&lt;Single&gt;*'
                Details

                System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max_Vector(BufferLength: 3079)

                ETL Files

                Histogram

                JIT Disasms

                System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Abs(BufferLength: 128)

                ETL Files

                Histogram

                JIT Disasms

                System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max_Scalar(BufferLength: 128)

                ETL Files

                Histogram

                JIT Disasms

                System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max(BufferLength: 3079)

                ETL Files

                Histogram

                JIT Disasms

                System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.MaxMagnitude_Scalar(BufferLength: 128)

                ETL Files

                Histogram

                JIT Disasms

                System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.MaxMagnitude_Vector(BufferLength: 128)

                ETL Files

                Histogram

                JIT Disasms

                System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.BitwiseAnd_Scalar(BufferLength: 128)

                ETL Files

                Histogram

                JIT Disasms

                System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max(BufferLength: 128)

                ETL Files

                Histogram

                JIT Disasms

                System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Max_Vector(BufferLength: 128)

                ETL Files

                Histogram

                JIT Disasms

                Docs

                Profiling workflow for dotnet/runtime repository
                Benchmarking workflow for dotnet/runtime repository

                Metadata

                Metadata

                Assignees

                Type

                No type

                Projects

                No projects

                  Milestone

                  No milestone

                  Relationships

                  None yet

                  Development

                  No branches or pull requests

                  Issue actions