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-rw-r--r--llvm/docs/CodingStandards.rst36
-rw-r--r--llvm/docs/CommandGuide/llc.rst7
-rw-r--r--llvm/docs/CommandGuide/lli.rst5
-rw-r--r--llvm/docs/CommandGuide/llvm-ir2vec.rst95
-rw-r--r--llvm/docs/DeveloperPolicy.rst4
-rw-r--r--llvm/docs/Extensions.rst29
-rw-r--r--llvm/docs/GlobalISel/GenericOpcode.rst2
-rw-r--r--llvm/docs/MLGO.rst144
-rw-r--r--llvm/docs/QualGroup.rst43
-rw-r--r--llvm/docs/SourceLevelDebugging.rst2
10 files changed, 311 insertions, 56 deletions
diff --git a/llvm/docs/CodingStandards.rst b/llvm/docs/CodingStandards.rst
index 8677d89..63f6663 100644
--- a/llvm/docs/CodingStandards.rst
+++ b/llvm/docs/CodingStandards.rst
@@ -1692,29 +1692,29 @@ faraway places in the file to tell that the function is local:
Don't Use Braces on Simple Single-Statement Bodies of if/else/loop Statements
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-When writing the body of an ``if``, ``else``, or for/while loop statement, we
-prefer to omit the braces to avoid unnecessary line noise. However, braces
-should be used in cases where the omission of braces harms the readability and
-maintainability of the code.
+When writing the body of an ``if``, ``else``, or ``for``/``while`` loop
+statement, we aim to reduce unnecessary line noise.
-We consider that readability is harmed when omitting the brace in the presence
-of a single statement that is accompanied by a comment (assuming the comment
-can't be hoisted above the ``if`` or loop statement, see below).
+**Omit braces when:**
-Similarly, braces should be used when a single-statement body is complex enough
-that it becomes difficult to see where the block containing the following
-statement began. An ``if``/``else`` chain or a loop is considered a single
-statement for this rule, and this rule applies recursively.
+* The body consists of a single **simple** statement.
+* The single statement is not preceded by a comment.
+ (Hoist comments above the control statement if you can.)
+* An ``else`` clause, if present, also meets the above criteria (single
+ simple statement, no associated comments).
-This list is not exhaustive. For example, readability is also harmed if an
-``if``/``else`` chain does not use braced bodies for either all or none of its
-members, or has complex conditionals, deep nesting, etc. The examples below
-intend to provide some guidelines.
+**Use braces in all other cases, including:**
-Maintainability is harmed if the body of an ``if`` ends with a (directly or
-indirectly) nested ``if`` statement with no ``else``. Braces on the outer ``if``
-would help to avoid running into a "dangling else" situation.
+* Multi-statement bodies
+* Single-statement bodies with non-hoistable comments
+* Complex single-statement bodies (e.g., deep nesting, complex nested
+ loops)
+* Inconsistent bracing within ``if``/``else if``/``else`` chains (if one
+ block requires braces, all must)
+* ``if`` statements ending with a nested ``if`` lacking an ``else`` (to
+ prevent "dangling else")
+The examples below provide guidelines for these cases:
.. code-block:: c++
diff --git a/llvm/docs/CommandGuide/llc.rst b/llvm/docs/CommandGuide/llc.rst
index 900649f..cc670f6 100644
--- a/llvm/docs/CommandGuide/llc.rst
+++ b/llvm/docs/CommandGuide/llc.rst
@@ -125,13 +125,6 @@ End-user Options
Enable setting the FP exceptions build attribute not to use exceptions.
-.. option:: --enable-unsafe-fp-math
-
- Enable optimizations that make unsafe assumptions about IEEE math (e.g. that
- addition is associative) or may not work for all input ranges. These
- optimizations allow the code generator to make use of some instructions which
- would otherwise not be usable (such as ``fsin`` on X86).
-
.. option:: --stats
Print statistics recorded by code-generation passes.
diff --git a/llvm/docs/CommandGuide/lli.rst b/llvm/docs/CommandGuide/lli.rst
index 94c0013..8afe10d 100644
--- a/llvm/docs/CommandGuide/lli.rst
+++ b/llvm/docs/CommandGuide/lli.rst
@@ -107,11 +107,6 @@ FLOATING POINT OPTIONS
Enable optimizations that assume no NAN values.
-.. option:: -enable-unsafe-fp-math
-
- Causes :program:`lli` to enable optimizations that may decrease floating point
- precision.
-
.. option:: -soft-float
Causes :program:`lli` to generate software floating point library calls instead of
diff --git a/llvm/docs/CommandGuide/llvm-ir2vec.rst b/llvm/docs/CommandGuide/llvm-ir2vec.rst
index fc590a6..55fe75d 100644
--- a/llvm/docs/CommandGuide/llvm-ir2vec.rst
+++ b/llvm/docs/CommandGuide/llvm-ir2vec.rst
@@ -1,5 +1,5 @@
-llvm-ir2vec - IR2Vec Embedding Generation Tool
-==============================================
+llvm-ir2vec - IR2Vec and MIR2Vec Embedding Generation Tool
+===========================================================
.. program:: llvm-ir2vec
@@ -11,9 +11,9 @@ SYNOPSIS
DESCRIPTION
-----------
-:program:`llvm-ir2vec` is a standalone command-line tool for IR2Vec. It
-generates IR2Vec embeddings for LLVM IR and supports triplet generation
-for vocabulary training.
+:program:`llvm-ir2vec` is a standalone command-line tool for IR2Vec and MIR2Vec.
+It generates embeddings for both LLVM IR and Machine IR (MIR) and supports
+triplet generation for vocabulary training.
The tool provides three main subcommands:
@@ -23,23 +23,33 @@ The tool provides three main subcommands:
2. **entities**: Generates entity mapping files (entity2id.txt) for vocabulary
training.
-3. **embeddings**: Generates IR2Vec embeddings using a trained vocabulary
+3. **embeddings**: Generates IR2Vec or MIR2Vec embeddings using a trained vocabulary
at different granularity levels (instruction, basic block, or function).
+The tool supports two operation modes:
+
+* **LLVM IR mode** (``--mode=llvm``): Process LLVM IR bitcode files and generate
+ IR2Vec embeddings
+* **Machine IR mode** (``--mode=mir``): Process Machine IR (.mir) files and generate
+ MIR2Vec embeddings
+
The tool is designed to facilitate machine learning applications that work with
-LLVM IR by converting the IR into numerical representations that can be used by
-ML models. The `triplets` subcommand generates numeric IDs directly instead of string
-triplets, streamlining the training data preparation workflow.
+LLVM IR or Machine IR by converting them into numerical representations that can
+be used by ML models. The `triplets` subcommand generates numeric IDs directly
+instead of string triplets, streamlining the training data preparation workflow.
.. note::
- For information about using IR2Vec programmatically within LLVM passes and
- the C++ API, see the `IR2Vec Embeddings <https://llvm.org/docs/MLGO.html#ir2vec-embeddings>`_
+ For information about using IR2Vec and MIR2Vec programmatically within LLVM
+ passes and the C++ API, see the `IR2Vec Embeddings <https://llvm.org/docs/MLGO.html#ir2vec-embeddings>`_
section in the MLGO documentation.
OPERATION MODES
---------------
+The tool operates in two modes: **LLVM IR mode** and **Machine IR mode**. The mode
+is selected using the ``--mode`` option (default: ``llvm``).
+
Triplet Generation and Entity Mapping Modes are used for preparing
vocabulary and training data for knowledge graph embeddings. The Embedding Mode
is used for generating embeddings from LLVM IR using a pre-trained vocabulary.
@@ -89,18 +99,31 @@ Embedding Generation
~~~~~~~~~~~~~~~~~~~~
With the `embeddings` subcommand, :program:`llvm-ir2vec` uses a pre-trained vocabulary to
-generate numerical embeddings for LLVM IR at different levels of granularity.
+generate numerical embeddings for LLVM IR or Machine IR at different levels of granularity.
+
+Example Usage for LLVM IR:
+
+.. code-block:: bash
+
+ llvm-ir2vec embeddings --mode=llvm --ir2vec-vocab-path=vocab.json --ir2vec-kind=symbolic --level=func input.bc -o embeddings.txt
-Example Usage:
+Example Usage for Machine IR:
.. code-block:: bash
- llvm-ir2vec embeddings --ir2vec-vocab-path=vocab.json --ir2vec-kind=symbolic --level=func input.bc -o embeddings.txt
+ llvm-ir2vec embeddings --mode=mir --mir2vec-vocab-path=vocab.json --level=func input.mir -o embeddings.txt
OPTIONS
-------
-Global options:
+Common options (applicable to both LLVM IR and Machine IR modes):
+
+.. option:: --mode=<mode>
+
+ Specify the operation mode. Valid values are:
+
+ * ``llvm`` - Process LLVM IR bitcode files (default)
+ * ``mir`` - Process Machine IR (.mir) files
.. option:: -o <filename>
@@ -116,8 +139,8 @@ Subcommand-specific options:
.. option:: <input-file>
- The input LLVM IR or bitcode file to process. This positional argument is
- required for the `embeddings` subcommand.
+ The input LLVM IR/bitcode file (.ll/.bc) or Machine IR file (.mir) to process.
+ This positional argument is required for the `embeddings` subcommand.
.. option:: --level=<level>
@@ -131,6 +154,8 @@ Subcommand-specific options:
Process only the specified function instead of all functions in the module.
+**IR2Vec-specific options** (for ``--mode=llvm``):
+
.. option:: --ir2vec-kind=<kind>
Specify the kind of IR2Vec embeddings to generate. Valid values are:
@@ -143,8 +168,8 @@ Subcommand-specific options:
.. option:: --ir2vec-vocab-path=<path>
- Specify the path to the vocabulary file (required for embedding generation).
- The vocabulary file should be in JSON format and contain the trained
+ Specify the path to the IR2Vec vocabulary file (required for LLVM IR embedding
+ generation). The vocabulary file should be in JSON format and contain the trained
vocabulary for embedding generation. See `llvm/lib/Analysis/models`
for pre-trained vocabulary files.
@@ -163,6 +188,35 @@ Subcommand-specific options:
Specify the weight for argument embeddings (default: 0.2). This controls
the relative importance of operand information in the final embedding.
+**MIR2Vec-specific options** (for ``--mode=mir``):
+
+.. option:: --mir2vec-vocab-path=<path>
+
+ Specify the path to the MIR2Vec vocabulary file (required for Machine IR
+ embedding generation). The vocabulary file should be in JSON format and
+ contain the trained vocabulary for embedding generation.
+
+.. option:: --mir2vec-kind=<kind>
+
+ Specify the kind of MIR2Vec embeddings to generate. Valid values are:
+
+ * ``symbolic`` - Generate symbolic embeddings (default)
+
+.. option:: --mir2vec-opc-weight=<weight>
+
+ Specify the weight for machine opcode embeddings (default: 1.0). This controls
+ the relative importance of machine instruction opcodes in the final embedding.
+
+.. option:: --mir2vec-common-operand-weight=<weight>
+
+ Specify the weight for common operand embeddings (default: 1.0). This controls
+ the relative importance of common operand types in the final embedding.
+
+.. option:: --mir2vec-reg-operand-weight=<weight>
+
+ Specify the weight for register operand embeddings (default: 1.0). This controls
+ the relative importance of register operands in the final embedding.
+
**triplets** subcommand:
@@ -240,3 +294,6 @@ SEE ALSO
For more information about the IR2Vec algorithm and approach, see:
`IR2Vec: LLVM IR Based Scalable Program Embeddings <https://doi.org/10.1145/3418463>`_.
+
+For more information about the MIR2Vec algorithm and approach, see:
+`RL4ReAl: Reinforcement Learning for Register Allocation <https://doi.org/10.1145/3578360.3580273>`_.
diff --git a/llvm/docs/DeveloperPolicy.rst b/llvm/docs/DeveloperPolicy.rst
index b94e79e..45f2df2 100644
--- a/llvm/docs/DeveloperPolicy.rst
+++ b/llvm/docs/DeveloperPolicy.rst
@@ -413,6 +413,10 @@ Below are some guidelines about the format of the message itself:
message self-explanatory. Note that such non-public links should not be
included in the submitted code.
+* Avoid 'tagging' someone's username in your commits and PR descriptions
+ (e.g., `@<someUser>`), doing so results in that account receiving a notification
+ every time the commit is cherry-picked and/or pushed to a fork.
+
LLVM uses a squash workflow for pull requests, so as the pull request evolves
during review, it's important to update the pull request description over the
course of a review. GitHub uses the initial commit message to create the pull
diff --git a/llvm/docs/Extensions.rst b/llvm/docs/Extensions.rst
index 89a0e80..214323e 100644
--- a/llvm/docs/Extensions.rst
+++ b/llvm/docs/Extensions.rst
@@ -601,6 +601,35 @@ sees fit (generally the section that would provide the best locality).
.. _CFI jump table: https://clang.llvm.org/docs/ControlFlowIntegrityDesign.html#forward-edge-cfi-for-indirect-function-calls
+``SHT_LLVM_CALL_GRAPH`` Section (Call Graph)
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+This section is used to store the call graph. It has a type of
+``SHT_LLVM_CALL_GRAPH`` (0x6fff4c0f). Details of call graph section layout
+are described in :doc:`CallGraphSection`.
+
+For example:
+
+.. code-block:: gas
+
+ .section ".llvm.callgraph","",@llvm_call_graph
+ .byte 0
+ .byte 7
+ .quad .Lball
+ .quad 0
+ .byte 3
+ .quad foo
+ .quad bar
+ .quad baz
+ .byte 3
+ .quad 4524972987496481828
+ .quad 3498816979441845844
+ .quad 8646233951371320954
+
+This indicates that ``ball`` calls ``foo``, ``bar`` and ``baz`` directly;
+``ball`` indirectly calls functions whose types are ``4524972987496481828``,
+``3498816979441845844`` and ``8646233951371320954``.
+
CodeView-Dependent
------------------
diff --git a/llvm/docs/GlobalISel/GenericOpcode.rst b/llvm/docs/GlobalISel/GenericOpcode.rst
index b055327..661a115 100644
--- a/llvm/docs/GlobalISel/GenericOpcode.rst
+++ b/llvm/docs/GlobalISel/GenericOpcode.rst
@@ -504,7 +504,7 @@ undefined.
G_ABDS, G_ABDU
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-Compute the absolute difference (signed and unsigned), e.g. abs(x-y).
+Compute the absolute difference (signed and unsigned), e.g. trunc(abs(ext(x)-ext(y)).
.. code-block:: none
diff --git a/llvm/docs/MLGO.rst b/llvm/docs/MLGO.rst
index bf3de11..2443835 100644
--- a/llvm/docs/MLGO.rst
+++ b/llvm/docs/MLGO.rst
@@ -434,8 +434,27 @@ The latter is also used in tests.
There is no C++ implementation of a log reader. We do not have a scenario
motivating one.
-IR2Vec Embeddings
-=================
+Embeddings
+==========
+
+LLVM provides embedding frameworks to generate vector representations of code
+at different abstraction levels. These embeddings capture syntactic, semantic,
+and structural properties of the code and can be used as features for machine
+learning models in various compiler optimization tasks.
+
+Two embedding frameworks are available:
+
+- **IR2Vec**: Generates embeddings for LLVM IR
+- **MIR2Vec**: Generates embeddings for Machine IR
+
+Both frameworks follow a similar architecture with vocabulary-based embedding
+generation, where a vocabulary maps code entities to n-dimensional floating
+point vectors. These embeddings can be computed at multiple granularity levels
+(instruction, basic block, and function) and used for ML-guided compiler
+optimizations.
+
+IR2Vec
+------
IR2Vec is a program embedding approach designed specifically for LLVM IR. It
is implemented as a function analysis pass in LLVM. The IR2Vec embeddings
@@ -466,7 +485,7 @@ The core components are:
compute embeddings for instructions, basic blocks, and functions.
Using IR2Vec
-------------
+^^^^^^^^^^^^
.. note::
@@ -526,7 +545,7 @@ embeddings can be computed and accessed via an ``ir2vec::Embedder`` instance.
between different code snippets, or perform other analyses as needed.
Further Details
----------------
+^^^^^^^^^^^^^^^
For more detailed information about the IR2Vec algorithm, its parameters, and
advanced usage, please refer to the original paper:
@@ -538,6 +557,123 @@ triplets from LLVM IR, see :doc:`CommandGuide/llvm-ir2vec`.
The LLVM source code for ``IR2Vec`` can also be explored to understand the
implementation details.
+MIR2Vec
+-------
+
+MIR2Vec is an extension of IR2Vec designed specifically for LLVM Machine IR
+(MIR). It generates embeddings for machine-level instructions, basic blocks,
+and functions. MIR2Vec operates on the target-specific machine representation,
+capturing machine instruction semantics including opcodes, operands, and
+register information at the machine level.
+
+MIR2Vec extends the vocabulary to include:
+
+- **Machine Opcodes**: Target-specific instruction opcodes derived from the
+ TargetInstrInfo, grouped by instruction semantics.
+
+- **Common Operands**: All common operand types (excluding register operands),
+ defined by the ``MachineOperand::MachineOperandType`` enum.
+
+- **Physical Register Classes**: Register classes defined by the target,
+ specialized for physical registers.
+
+- **Virtual Register Classes**: Register classes defined by the target,
+ specialized for virtual registers.
+
+The core components are:
+
+- **Vocabulary**: A mapping from machine IR entities (opcodes, operands, register
+ classes) to their vector representations. This is managed by
+ ``MIR2VecVocabLegacyAnalysis`` for the legacy pass manager, with a
+ ``MIR2VecVocabProvider`` that can be used standalone or wrapped by pass
+ managers. The vocabulary (.json file) contains sections for opcodes, common
+ operands, physical register classes, and virtual register classes.
+
+ .. note::
+
+ The vocabulary file should contain these sections for it to be valid.
+
+- **Embedder**: A class (``mir2vec::MIREmbedder``) that uses the vocabulary to
+ compute embeddings for machine instructions, machine basic blocks, and
+ machine functions. Currently, ``SymbolicMIREmbedder`` is the available
+ implementation.
+
+Using MIR2Vec
+^^^^^^^^^^^^^
+
+.. note::
+
+ This section describes how to use MIR2Vec within LLVM passes. `llvm-ir2vec`
+ tool ` :doc:`CommandGuide/llvm-ir2vec` can be used for generating MIR2Vec
+ embeddings from Machine IR files (.mir), which can be useful for generating
+ embeddings outside of compiler passes.
+
+To generate MIR2Vec embeddings in a compiler pass, first obtain the vocabulary,
+then create an embedder instance to compute and access embeddings.
+
+1. **Get the Vocabulary**:
+ In a MachineFunctionPass, get the vocabulary from the analysis:
+
+ .. code-block:: c++
+
+ auto &VocabAnalysis = getAnalysis<MIR2VecVocabLegacyAnalysis>();
+ auto VocabOrErr = VocabAnalysis.getMIR2VecVocabulary(*MF.getFunction().getParent());
+ if (!VocabOrErr) {
+ // Handle error: vocabulary is not available or invalid
+ return;
+ }
+ const mir2vec::MIRVocabulary &Vocabulary = *VocabOrErr;
+
+ Note that ``MIR2VecVocabLegacyAnalysis`` is an immutable pass.
+
+2. **Create Embedder instance**:
+ With the vocabulary, create an embedder for a specific machine function:
+
+ .. code-block:: c++
+
+ // Assuming MF is a MachineFunction&
+ // For example, using MIR2VecKind::Symbolic:
+ std::unique_ptr<mir2vec::MIREmbedder> Emb =
+ mir2vec::MIREmbedder::create(MIR2VecKind::Symbolic, MF, Vocabulary);
+
+
+3. **Compute and Access Embeddings**:
+ Call ``getMFunctionVector()`` to get the embedding for the machine function.
+
+ .. code-block:: c++
+
+ mir2vec::Embedding FuncVector = Emb->getMFunctionVector();
+
+ Currently, ``MIREmbedder`` can generate embeddings at three levels: Machine
+ Instructions, Machine Basic Blocks, and Machine Functions. Appropriate
+ getters are provided to access the embeddings at these levels.
+
+ .. note::
+
+ The validity of the ``MIREmbedder`` instance (and the embeddings it
+ generates) is tied to the machine function it is associated with. If the
+ machine function is modified, the embeddings may become stale and should
+ be recomputed accordingly.
+
+4. **Working with Embeddings:**
+ Embeddings are represented as ``std::vector<double>``. These vectors can be
+ used as features for machine learning models, compute similarity scores
+ between different code snippets, or perform other analyses as needed.
+
+Further Details
+^^^^^^^^^^^^^^^
+
+For more detailed information about the MIR2Vec algorithm, its parameters, and
+advanced usage, please refer to the original paper:
+`RL4ReAl: Reinforcement Learning for Register Allocation <https://doi.org/10.1145/3578360.3580273>`_.
+
+For information about using MIR2Vec tool for generating embeddings from
+Machine IR, see :doc:`CommandGuide/llvm-ir2vec`.
+
+The LLVM source code for ``MIR2Vec`` can be explored to understand the
+implementation details. See ``llvm/include/llvm/CodeGen/MIR2Vec.h`` and
+``llvm/lib/CodeGen/MIR2Vec.cpp``.
+
Building with ML support
========================
diff --git a/llvm/docs/QualGroup.rst b/llvm/docs/QualGroup.rst
index 5c05e4e..0e73ec5 100644
--- a/llvm/docs/QualGroup.rst
+++ b/llvm/docs/QualGroup.rst
@@ -181,6 +181,46 @@ Membership Review
To ensure the group remains active and focused, member participation will be reviewed every six months. Inactive members may be removed following this review.
+Decision Taking
+---------------
+
+The LLVM Qualification Working Group aims to make decisions transparently, collaboratively, and without unnecessary formality. The goal is to maintain efficiency while encouraging broad participation and mutual understanding.
+
+This section describes the lightweight process used to handle proposals and decisions within the group. It may be revised as the group evolves and gains experience.
+
+Principles
+^^^^^^^^^^
+
+* **Consensus first:** The preferred mode of decision-making is consensus through open discussion (primarily on Discord or during sync-up meetings).
+* **Inclusiveness and respect:** All viewpoints are encouraged, and members are expected to contribute constructively toward reaching a shared understanding.
+* **Transparency:** Discussions leading to a decision should be visible to the group and, whenever appropriate, summarized in public channels (e.g., Discourse meeting notes, Discord channel, documentation updates).
+
+Consensus and Time Limits
+^^^^^^^^^^^^^^^^^^^^^^^^^
+
+Discussions remain open until a clear consensus emerges, meaning no sustained objections have been raised after reasonable discussion.
+
+To prevent open-ended debates, if no new viewpoints are expressed after an agreed period (e.g., 2 weeks), the moderator (typically the person who started the discussion thread) may take one of the following actions:
+
+* **Summarize the apparent consensus** and close the discussion, or
+* **Postpone the topic** to the next sync-up meeting if the outcome remains unclear, or
+* **Call for a short vote** to confirm the group’s position.
+
+Voting Procedure
+^^^^^^^^^^^^^^^^
+
+When consensus cannot be reached or when a clear yes/no decision is needed:
+
+* The moderator may call for a **simple vote** using emoji reactions on Discord or a similar visible method.
+* A decision passes if it receives a **majority (>50%)** of votes among **participants who voted.** Non-votes are **not counted** in the total.
+* To ensure decisions reflect the collective position of the group, **at least three-quarters of the total core members** must participate in the vote for it to be considered valid.
+* If results are evenly split **(50/50)**, or if participation falls below this threshold, the topic may be postponed to the next sync-up meeting for further discussion.
+
+Documentation
+^^^^^^^^^^^^^
+
+Final decisions should be briefly documented (e.g., in meeting minutes, the corresponding GitHub issue, or Discord discussion thread). Once stable, the resulting policy or outcome may be reflected in this documentation for reference.
+
Current Topics & Backlog
========================
@@ -205,10 +245,11 @@ Slides used to support discussions during sync-up meetings are stored in LLVM's
Available slides:
+* (add future entries here)
+* `October 2025 <https://docs.google.com/presentation/d/1ND2SkjgcHvcEbQmMd8ExL-PpRXouP49T-wfy3xf2yRQ/edit?usp=sharing>`_
* `September 2025 <https://docs.google.com/presentation/d/1SZAE-QHfJED6CxJCCtBkPDxcw7XU9ORX54TJyXe1ppc/edit?usp=sharing>`_
* `August 2025 <https://docs.google.com/presentation/d/1K8GWoRm8ZAeyyGvTeV5f-sMOhMr7WHiEk6_Nm5Fk10o/edit?usp=sharing>`_
* `July 2025 <https://docs.google.com/presentation/d/1ktURe9qz5ggbdOQYK-2ISpiC18B-Y_35WvGyAnnxEpw/edit?usp=sharing>`_
-* (add future entries here)
AI Transcription Policy
=======================
diff --git a/llvm/docs/SourceLevelDebugging.rst b/llvm/docs/SourceLevelDebugging.rst
index f057b2d..12b5e3e 100644
--- a/llvm/docs/SourceLevelDebugging.rst
+++ b/llvm/docs/SourceLevelDebugging.rst
@@ -674,7 +674,7 @@ Compiled to LLVM, this function would be represented like this:
ret void, !dbg !24
}
- attributes #0 = { nounwind ssp uwtable "less-precise-fpmad"="false" "frame-pointer"="all" "no-infs-fp-math"="false" "no-nans-fp-math"="false" "stack-protector-buffer-size"="8" "unsafe-fp-math"="false" "use-soft-float"="false" }
+ attributes #0 = { nounwind ssp uwtable "less-precise-fpmad"="false" "frame-pointer"="all" "no-infs-fp-math"="false" "no-nans-fp-math"="false" "stack-protector-buffer-size"="8" "use-soft-float"="false" }
attributes #1 = { nounwind readnone }
!llvm.dbg.cu = !{!0}