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<!doctype html><html lang=en-us><head><meta charset=utf-8><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=viewport content="width=device-width,initial-scale=1,maximum-scale=1,user-scalable=no"><title>'dlti' Dialect - MLIR</title><meta name=description content="Multi-Level IR Compiler Framework"><meta name=generator content="Hugo 0.119.0"><link href=https://mlir.llvm.org/index.xml rel=alternate type=application/rss+xml><link rel=canonical href=https://mlir.llvm.org/docs/Dialects/DLTIDialect/><link rel=stylesheet href=https://mlir.llvm.org/css/theme.css><script src=https://use.fontawesome.com/releases/v5.0.6/js/all.js></script> <link rel=stylesheet href=https://mlir.llvm.org/css/chroma.min.css><script src=https://cdn.jsdelivr.net/npm/jquery@3.3.1/dist/jquery.min.js></script> <script src=https://cdn.jsdelivr.net/npm/jquery.easing@1.4.1/jquery.easing.min.js></script> <script src=https://mlir.llvm.org/js/bundle.js></script> <script type=text/javascript src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.1/MathJax.js?config=TeX-AMS-MML_HTMLorMML"></script> <script type=text/x-mathjax-config> MathJax.Hub.Config({ tex2jax: { inlineMath: [['$', '$'] ], displayMath: [ ['$$','$$'], ["\\[","\\]"] ] } }); </script><link rel=apple-touch-icon sizes=180x180 href="/apple-touch-icon.png?v=1"><link rel=icon type=image/png sizes=32x32 href="/favicon-32x32.png?v=1"><link rel=icon type=image/png sizes=16x16 href="/favicon-16x16.png?v=1"><link rel=manifest href="/site.webmanifest?v=1"><link rel=mask-icon href="/safari-pinned-tab.svg?v=1" color=#3775e0><link rel="shortcut icon" href="/favicon.ico?v=1"><meta name=msapplication-TileColor content="#2d89ef"><meta name=theme-color content="#ffffff"><link rel=icon href=/favicon.svg type=image/svg+xml sizes=any><style>:root{}</style></head><body><div class=container><header><h1><div><img src=https://mlir.llvm.org//mlir-logo.png width=40px align=absmiddle> MLIR</div></h1><p class=description>Multi-Level IR Compiler Framework</p></header><div class=global-menu><nav><ul><li class=parent><a href>Community<i class="fas fa-angle-right"></i></a><ul class=sub-menu><li class=child><a href=https://llvm.discourse.group/c/mlir/31>Forums</a></li><li class=child><a href=https://discord.gg/xS7Z362>Chat</a></li></ul></li><li><a href=/getting_started/Debugging/>Debugging Tips</a></li><li><a href=/getting_started/Faq/>FAQ</a></li><li class=parent><a href=https://github.com/llvm/llvm-project/tree/main/mlir>Source<i class="fas fa-angle-right"></i></a><ul class=sub-menu><li class=child><a href=/doxygen/>Doxygen</a></li><li class=child><a href=https://github.com/llvm/llvm-project/tree/main/mlir>GitHub</a></li></ul></li><li><a href="https://bugs.llvm.org/buglist.cgi?bug_status=__open__&list_id=177877&order=changeddate%20DESC%2Cpriority%2Cbug_severity&product=MLIR&query_format=specific">Bugs</a></li><li><a href=https://github.com/llvm/mlir-www/tree/main/website/static/LogoAssets>Logo Assets</a></li><li><a href=https://www.youtube.com/MLIRCompiler>Youtube Channel</a></li></ul></nav></div><div class=content-container><main><h1>'dlti' Dialect</h1><p>The Data Layout and Target Information (DLTI) dialect is intended to hold attributes and other components pertaining to descriptions of in-memory data layout and compilation targets.</p><p><nav id=TableOfContents><ul><li><a href=#attributes>Attributes</a><ul><li><a href=#datalayoutentryattr>DataLayoutEntryAttr</a></li><li><a href=#datalayoutspecattr>DataLayoutSpecAttr</a></li><li><a href=#mapattr>MapAttr</a></li><li><a href=#targetdevicespecattr>TargetDeviceSpecAttr</a></li><li><a href=#targetsystemspecattr>TargetSystemSpecAttr</a></li></ul></li></ul></nav><h2 id=attributes>Attributes <a class=headline-hash href=#attributes>¶</a></h2><h3 id=datalayoutentryattr>DataLayoutEntryAttr <a class=headline-hash href=#datalayoutentryattr>¶</a></h3><p>An attribute to represent an entry of a data layout specification.</p><p>A data layout entry attribute is a key-value pair where the key is a type or an identifier and the value is another attribute. These entries form a data layout specification.</p><h4 id=parameters>Parameters: <a class=headline-hash href=#parameters>¶</a></h4><table><thead><tr><th style=text-align:center>Parameter</th><th style=text-align:center>C++ type</th><th>Description</th></tr></thead><tbody><tr><td style=text-align:center>key</td><td style=text-align:center><code>DataLayoutEntryKey</code></td><td></td></tr><tr><td style=text-align:center>value</td><td style=text-align:center><code>Attribute</code></td><td></td></tr></tbody></table><h3 id=datalayoutspecattr>DataLayoutSpecAttr <a class=headline-hash href=#datalayoutspecattr>¶</a></h3><p>An attribute to represent a data layout specification.</p><p>A data layout specification is a list of entries that specify (partial) data layout information. It is expected to be attached to operations that serve as scopes for data layout requests.</p><h4 id=parameters-1>Parameters: <a class=headline-hash href=#parameters-1>¶</a></h4><table><thead><tr><th style=text-align:center>Parameter</th><th style=text-align:center>C++ type</th><th>Description</th></tr></thead><tbody><tr><td style=text-align:center>entries</td><td style=text-align:center><code>::llvm::ArrayRef<DataLayoutEntryInterface></code></td><td></td></tr></tbody></table><h3 id=mapattr>MapAttr <a class=headline-hash href=#mapattr>¶</a></h3><p>A mapping of DLTI-information by way of key-value pairs</p><p>A Data Layout and Target Information map is a list of entries effectively encoding a dictionary, mapping DLTI-related keys to DLTI-related values.</p><p>This attribute’s main purpose is to facilate querying IR for arbitrary key-value associations that encode DLTI. Facility functions exist to perform recursive lookups on nested DLTI-map/query interface-implementing attributes.</p><p>Consider the following flat encoding of a single-key dictionary</p><pre tabindex=0><code>#dlti.map<"CPU::cache::L1::size_in_bytes" = 65536 : i32>> </code></pre><p>versus nested maps, which make it possible to obtain sub-dictionaries of related information (with the following example making use of other attributes that also implement the <code>DLTIQueryInterface</code>):</p><pre tabindex=0><code>#dlti.target_system_spec<"CPU" = #dlti.target_device_spec<"cache" = #dlti.map<"L1" = #dlti.map<"size_in_bytes" = 65536 : i32>, "L1d" = #dlti.map<"size_in_bytes" = 32768 : i32> >>> </code></pre><p>With the flat encoding, the implied structure of the key is ignored, that is the only successful query (as expressed in the Transform Dialect) is: <code>transform.dlti.query ["CPU::cache::L1::size_in_bytes"] at %op</code>, where <code>%op</code> is a handle to an operation which associates the flat-encoding <code>#dlti.map</code> attribute.</p><p>For querying nested dictionaries, the relevant keys need to be separately provided. That is, if <code>%op</code> is an handle to an op which has the nesting <code>#dlti.target_system_spec</code>-attribute from above attached, then <code>transform.dlti.query ["CPU","cache","L1","size_in_bytes"] at %op</code> gives back the first leaf value contained. To access the other leaf, we need to do <code>transform.dlti.query ["CPU","cache","L1d","size_in_bytes"] at %op</code>.</p><h4 id=parameters-2>Parameters: <a class=headline-hash href=#parameters-2>¶</a></h4><table><thead><tr><th style=text-align:center>Parameter</th><th style=text-align:center>C++ type</th><th>Description</th></tr></thead><tbody><tr><td style=text-align:center>entries</td><td style=text-align:center><code>::llvm::ArrayRef<DataLayoutEntryInterface></code></td><td></td></tr></tbody></table><h3 id=targetdevicespecattr>TargetDeviceSpecAttr <a class=headline-hash href=#targetdevicespecattr>¶</a></h3><p>An attribute to represent target device specification.</p><p>Each device specification describes a single device and its hardware properties. Each device specification can contain any number of optional hardware properties (e.g., max_vector_op_width below).</p><p>Example:</p><pre tabindex=0><code>#dlti.target_device_spec<"max_vector_op_width" = 64 : ui32> </code></pre><h4 id=parameters-3>Parameters: <a class=headline-hash href=#parameters-3>¶</a></h4><table><thead><tr><th style=text-align:center>Parameter</th><th style=text-align:center>C++ type</th><th>Description</th></tr></thead><tbody><tr><td style=text-align:center>entries</td><td style=text-align:center><code>::llvm::ArrayRef<DataLayoutEntryInterface></code></td><td></td></tr></tbody></table><h3 id=targetsystemspecattr>TargetSystemSpecAttr <a class=headline-hash href=#targetsystemspecattr>¶</a></h3><p>An attribute to represent target system specification.</p><p>A system specification describes the overall system containing multiple devices, with each device having a unique ID (string) and its corresponding TargetDeviceSpec object.</p><p>Example:</p><pre tabindex=0><code>dlti.target_system_spec = #dlti.target_system_spec< "CPU" = #dlti.target_device_spec< "L1_cache_size_in_bytes" = 4096: ui32>, "GPU" = #dlti.target_device_spec< "max_vector_op_width" = 64 : ui32>, "XPU" = #dlti.target_device_spec< "max_vector_op_width" = 4096 : ui32>> </code></pre><p>The verifier checks that keys are strings and pointed to values implement DLTI’s TargetDeviceSpecInterface.</p><h4 id=parameters-4>Parameters: <a class=headline-hash href=#parameters-4>¶</a></h4><table><thead><tr><th style=text-align:center>Parameter</th><th style=text-align:center>C++ type</th><th>Description</th></tr></thead><tbody><tr><td style=text-align:center>entries</td><td style=text-align:center><code>::llvm::ArrayRef<DataLayoutEntryInterface></code></td><td></td></tr></tbody></table><div class=edit-meta><br></div><nav class=pagination><a class="nav nav-prev" href=https://mlir.llvm.org/docs/Dialects/ComplexOps/ title="'complex' Dialect"><i class="fas fa-arrow-left" aria-hidden=true></i> Prev - 'complex' Dialect</a> <a class="nav nav-next" href=https://mlir.llvm.org/docs/Dialects/EmitC/ title="'emitc' Dialect">Next - 'emitc' Dialect <i class="fas fa-arrow-right" aria-hidden=true></i></a></nav><footer><p class=powered>Powered by <a href=https://gohugo.io>Hugo</a>. 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types</a></li></ul></li><li><a href=https://mlir.llvm.org/docs/ShapeInference/>Shape Inference</a></li><li><a href=https://mlir.llvm.org/docs/SPIRVToLLVMDialectConversion/>SPIR-V Dialect to LLVM Dialect conversion manual</a></li><li><a href=https://mlir.llvm.org/docs/SymbolsAndSymbolTables/>Symbols and Symbol Tables</a></li><li><a href=https://mlir.llvm.org/docs/DeclarativeRewrites/>Table-driven Declarative Rewrite Rule (DRR)</a></li><li class=has-sub-menu><a href=https://mlir.llvm.org/docs/Traits/>Traits<span class="mark closed">+</span></a><ul class=sub-menu><li><a href=https://mlir.llvm.org/docs/Traits/Broadcastable/>The `Broadcastable` Trait</a></li></ul></li><li class=has-sub-menu><a href=https://mlir.llvm.org/docs/Tutorials/>Tutorials<span class="mark closed">+</span></a><ul class=sub-menu><li><a href=https://mlir.llvm.org/docs/Tutorials/CreatingADialect/>Creating a Dialect</a></li><li><a href=https://mlir.llvm.org/docs/Tutorials/QuickstartRewrites/>Quickstart tutorial to adding MLIR graph rewrite</a></li><li class=has-sub-menu><a href=https://mlir.llvm.org/docs/Tutorials/Toy/>Toy Tutorial<span class="mark closed">+</span></a><ul class=sub-menu><li><a href=https://mlir.llvm.org/docs/Tutorials/Toy/Ch-1/>Chapter 1: Toy Language and AST</a></li><li><a href=https://mlir.llvm.org/docs/Tutorials/Toy/Ch-2/>Chapter 2: Emitting Basic MLIR</a></li><li><a href=https://mlir.llvm.org/docs/Tutorials/Toy/Ch-3/>Chapter 3: High-level Language-Specific Analysis and Transformation</a></li><li><a href=https://mlir.llvm.org/docs/Tutorials/Toy/Ch-4/>Chapter 4: Enabling Generic Transformation with Interfaces</a></li><li><a href=https://mlir.llvm.org/docs/Tutorials/Toy/Ch-5/>Chapter 5: Partial Lowering to Lower-Level Dialects for Optimization</a></li><li><a href=https://mlir.llvm.org/docs/Tutorials/Toy/Ch-6/>Chapter 6: Lowering to LLVM and CodeGeneration</a></li><li><a href=https://mlir.llvm.org/docs/Tutorials/Toy/Ch-7/>Chapter 7: Adding a Composite Type to Toy</a></li></ul></li><li class=has-sub-menu><a href=https://mlir.llvm.org/docs/Tutorials/transform/>Transform Dialect Tutorial<span class="mark closed">+</span></a><ul class=sub-menu><li><a href=https://mlir.llvm.org/docs/Tutorials/transform/Ch0/>Chapter 0: A Primer on “Structured” Linalg Operations</a></li><li><a href=https://mlir.llvm.org/docs/Tutorials/transform/Ch1/>Chapter 1: Combining Existing Transformations</a></li><li><a href=https://mlir.llvm.org/docs/Tutorials/transform/Ch2/>Chapter 2: Adding a Simple New Transformation Operation</a></li><li><a href=https://mlir.llvm.org/docs/Tutorials/transform/Ch3/>Chapter 3: More than Simple Transform Operations</a></li><li><a href=https://mlir.llvm.org/docs/Tutorials/transform/Ch4/>Chapter 4: Matching Payload with Transform Operations</a></li><li><a href=https://mlir.llvm.org/docs/Tutorials/transform/ChH/>Chapter H: Reproducing Halide Schedule</a></li></ul></li><li><a href=https://mlir.llvm.org/docs/Tutorials/UnderstandingTheIRStructure/>Understanding the IR Structure</a></li><li><a href=https://mlir.llvm.org/docs/Tutorials/MlirOpt/>Using `mlir-opt`</a></li><li><a href=https://mlir.llvm.org/docs/Tutorials/DataFlowAnalysis/>Writing DataFlow Analyses in MLIR</a></li></ul></li></ul></li></ul></nav><div class=sidebar-footer></div></div></div><a href=# id=backtothetop-fixed class=backtothetop data-backtothetop-duration=600 data-backtothetop-easing=easeOutQuart data-backtothetop-fixed-fadein=1000 data-backtothetop-fixed-fadeout=1000 data-backtothetop-fixed-bottom=10 data-backtothetop-fixed-right=20><span class="fa-layers fa-fw"><i class="fas fa-circle"></i> <i class="fas fa-arrow-circle-up"></i></span></a></div></body></html>