[mlir] [llvm] [mlir] Add config for PDL (PR #69927)
via llvm-commits
llvm-commits at lists.llvm.org
Sat Dec 9 16:26:33 PST 2023
llvmbot wrote:
<!--LLVM PR SUMMARY COMMENT-->
@llvm/pr-subscribers-mlir-vector
Author: Jacques Pienaar (jpienaar)
<details>
<summary>Changes</summary>
Make it so that PDL can be optionally disabled. PDL is different than other dialects as its included in the core rewrite framework. This results in these being included even where it isn't used and not removed during compilation. Add option to disable for workloads where it isn't needed or can't be used. This ends up being rather invasive due to how PDL is included. Ideally we'd have less `#if`'s, but didn't want to change structure purely to reduce those (felt better to keep the organization in case anything needs to be changed, forgetting to guard results in compile time failures which should be easy to trace).
MLIR is a general infrastructure and as far as possible no dialect is intended to be special or privileged (we have Builtin which is both and should be addressed ...). Users should be able to use MLIR and the parts they need to customize for their solution (e.g., one doesn't have to include any dialect except the ones one uses). Many parts are elided when not referenced (LTO DCE'd etc), but this is not possible with PDL given how its integrated with the common rewrite drivers. This results in it always being included even when not used. The most obvious impact is reduction in size when using rewrites but not PDL - reduced increase in size when adding rewrite driver in minimal case from 45% to 12%.
PDL is still enabled by default and not optional bazel. So this should be a NOP for most folks, while enabling other to disable.
This is piped through mlir-tblgen invocation and that could be changed/avoided by splitting up the passes file instead.
This only works with tests disabled. With tests enabled this still compiles but tests fail as there is no lit config to disable tests that depend on PDL yet.
---
Patch is 102.13 KiB, truncated to 20.00 KiB below, full version: https://github.com/llvm/llvm-project/pull/69927.diff
28 Files Affected:
- (modified) mlir/CMakeLists.txt (+4-2)
- (modified) mlir/examples/minimal-opt/README.md (+5-4)
- (modified) mlir/include/mlir/Config/mlir-config.h.cmake (+3)
- (modified) mlir/include/mlir/Conversion/LLVMCommon/TypeConverter.h (+1)
- (modified) mlir/include/mlir/Dialect/Vector/IR/VectorOps.h (+1)
- (added) mlir/include/mlir/IR/PDLPatternMatch.h.inc (+992)
- (modified) mlir/include/mlir/IR/PatternMatch.h (+9-926)
- (modified) mlir/include/mlir/InitAllDialects.h (+1)
- (modified) mlir/include/mlir/InitAllExtensions.h (+2-1)
- (modified) mlir/include/mlir/Rewrite/PatternApplicator.h (+1)
- (modified) mlir/include/mlir/Transforms/DialectConversion.h (+15)
- (modified) mlir/lib/Dialect/Bufferization/TransformOps/CMakeLists.txt (-1)
- (modified) mlir/lib/IR/PatternMatch.cpp (+3)
- (modified) mlir/lib/Rewrite/ByteCode.cpp (+2)
- (modified) mlir/lib/Rewrite/ByteCode.h (+35)
- (modified) mlir/lib/Rewrite/CMakeLists.txt (+11)
- (modified) mlir/lib/Rewrite/FrozenRewritePatternSet.cpp (+9-2)
- (modified) mlir/lib/Rewrite/PatternApplicator.cpp (+3-1)
- (modified) mlir/lib/Tools/CMakeLists.txt (+1-1)
- (modified) mlir/lib/Transforms/Utils/DialectConversion.cpp (+2)
- (modified) mlir/python/CMakeLists.txt (+19-19)
- (modified) mlir/test/CMakeLists.txt (+8-4)
- (modified) mlir/test/lib/Rewrite/CMakeLists.txt (-1)
- (modified) mlir/test/lib/Transforms/CMakeLists.txt (+12-2)
- (modified) mlir/tools/mlir-lsp-server/CMakeLists.txt (+4-2)
- (modified) mlir/tools/mlir-opt/CMakeLists.txt (+5-3)
- (modified) mlir/tools/mlir-opt/mlir-opt.cpp (+10-6)
- (modified) utils/bazel/llvm-project-overlay/mlir/BUILD.bazel (+1)
``````````diff
diff --git a/mlir/CMakeLists.txt b/mlir/CMakeLists.txt
index 16ff950089734b..3ff21ed0d5aa81 100644
--- a/mlir/CMakeLists.txt
+++ b/mlir/CMakeLists.txt
@@ -133,6 +133,8 @@ set(MLIR_ENABLE_NVPTXCOMPILER 0 CACHE BOOL
"Statically link the nvptxlibrary instead of calling ptxas as a subprocess \
for compiling PTX to cubin")
+set(MLIR_ENABLE_PDL 1 CACHE BOOL "Enable PDL")
+
option(MLIR_INCLUDE_TESTS
"Generate build targets for the MLIR unit tests."
${LLVM_INCLUDE_TESTS})
@@ -180,10 +182,10 @@ include_directories( ${MLIR_INCLUDE_DIR})
# from another directory like tools
add_subdirectory(tools/mlir-tblgen)
add_subdirectory(tools/mlir-linalg-ods-gen)
-add_subdirectory(tools/mlir-pdll)
-
set(MLIR_TABLEGEN_EXE "${MLIR_TABLEGEN_EXE}" CACHE INTERNAL "")
set(MLIR_TABLEGEN_TARGET "${MLIR_TABLEGEN_TARGET}" CACHE INTERNAL "")
+
+add_subdirectory(tools/mlir-pdll)
set(MLIR_PDLL_TABLEGEN_EXE "${MLIR_PDLL_TABLEGEN_EXE}" CACHE INTERNAL "")
set(MLIR_PDLL_TABLEGEN_TARGET "${MLIR_PDLL_TABLEGEN_TARGET}" CACHE INTERNAL "")
diff --git a/mlir/examples/minimal-opt/README.md b/mlir/examples/minimal-opt/README.md
index b8a455f7a79662..09d0f20c34e426 100644
--- a/mlir/examples/minimal-opt/README.md
+++ b/mlir/examples/minimal-opt/README.md
@@ -14,10 +14,10 @@ Below are some example measurements taken at the time of the LLVM 17 release,
using clang-14 on a X86 Ubuntu and [bloaty](https://github.com/google/bloaty).
| | Base | Os | Oz | Os LTO | Oz LTO |
-| :-----------------------------: | ------ | ------ | ------ | ------ | ------ |
-| `mlir-cat` | 1018kB | 836KB | 879KB | 697KB | 649KB |
-| `mlir-minimal-opt` | 1.54MB | 1.25MB | 1.29MB | 1.10MB | 1.00MB |
-| `mlir-minimal-opt-canonicalize` | 2.24MB | 1.81MB | 1.86MB | 1.62MB | 1.48MB |
+| :------------------------------: | ------ | ------ | ------ | ------ | ------ |
+| `mlir-cat` | 1024KB | 840KB | 885KB | 706KB | 657KB |
+| `mlir-minimal-opt` | 1.62MB | 1.32MB | 1.36MB | 1.17MB | 1.07MB |
+| `mlir-minimal-opt-canonicalize` | 1.83MB | 1.40MB | 1.45MB | 1.25MB | 1.14MB |
Base configuration:
@@ -32,6 +32,7 @@ cmake ../llvm/ -G Ninja \
-DCMAKE_CXX_COMPILER=clang++ \
-DLLVM_ENABLE_LLD=ON \
-DLLVM_ENABLE_BACKTRACES=OFF \
+ -DMLIR_ENABLE_PDL=OFF \
-DCMAKE_EXE_LINKER_FLAGS_RELWITHDEBINFO=-Wl,-icf=all
```
diff --git a/mlir/include/mlir/Config/mlir-config.h.cmake b/mlir/include/mlir/Config/mlir-config.h.cmake
index efa77b2e5ce5db..71e394eeec6133 100644
--- a/mlir/include/mlir/Config/mlir-config.h.cmake
+++ b/mlir/include/mlir/Config/mlir-config.h.cmake
@@ -26,4 +26,7 @@
numeric seed that is passed to the random number generator. */
#cmakedefine MLIR_GREEDY_REWRITE_RANDOMIZER_SEED ${MLIR_GREEDY_REWRITE_RANDOMIZER_SEED}
+/* If set, enables PDL usage. */
+#cmakedefine01 MLIR_ENABLE_PDL
+
#endif
diff --git a/mlir/include/mlir/Conversion/LLVMCommon/TypeConverter.h b/mlir/include/mlir/Conversion/LLVMCommon/TypeConverter.h
index 74f9c977b70286..e228229302cff4 100644
--- a/mlir/include/mlir/Conversion/LLVMCommon/TypeConverter.h
+++ b/mlir/include/mlir/Conversion/LLVMCommon/TypeConverter.h
@@ -15,6 +15,7 @@
#define MLIR_CONVERSION_LLVMCOMMON_TYPECONVERTER_H
#include "mlir/Conversion/LLVMCommon/LoweringOptions.h"
+#include "mlir/IR/BuiltinTypes.h"
#include "mlir/Transforms/DialectConversion.h"
namespace mlir {
diff --git a/mlir/include/mlir/Dialect/Vector/IR/VectorOps.h b/mlir/include/mlir/Dialect/Vector/IR/VectorOps.h
index 59d585a77b1e29..9dfbd0ff31ecea 100644
--- a/mlir/include/mlir/Dialect/Vector/IR/VectorOps.h
+++ b/mlir/include/mlir/Dialect/Vector/IR/VectorOps.h
@@ -29,6 +29,7 @@
#include "mlir/Interfaces/SideEffectInterfaces.h"
#include "mlir/Interfaces/VectorInterfaces.h"
#include "mlir/Interfaces/ViewLikeInterface.h"
+#include "llvm/ADT/SetVector.h"
#include "llvm/ADT/StringExtras.h"
// Pull in all enum type definitions and utility function declarations.
diff --git a/mlir/include/mlir/IR/PDLPatternMatch.h.inc b/mlir/include/mlir/IR/PDLPatternMatch.h.inc
new file mode 100644
index 00000000000000..e4d63248bf1908
--- /dev/null
+++ b/mlir/include/mlir/IR/PDLPatternMatch.h.inc
@@ -0,0 +1,992 @@
+//===- PDLPatternMatch.h - PDLPatternMatcher classes -------==---*- C++ -*-===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#ifndef MLIR_IR_PDLPATTERNMATCH_H
+#define MLIR_IR_PDLPATTERNMATCH_H
+
+#if MLIR_ENABLE_PDL
+#include "mlir/IR/Builders.h"
+#include "mlir/IR/BuiltinOps.h"
+
+namespace mlir {
+//===----------------------------------------------------------------------===//
+// PDL Patterns
+//===----------------------------------------------------------------------===//
+
+//===----------------------------------------------------------------------===//
+// PDLValue
+
+/// Storage type of byte-code interpreter values. These are passed to constraint
+/// functions as arguments.
+class PDLValue {
+public:
+ /// The underlying kind of a PDL value.
+ enum class Kind { Attribute, Operation, Type, TypeRange, Value, ValueRange };
+
+ /// Construct a new PDL value.
+ PDLValue(const PDLValue &other) = default;
+ PDLValue(std::nullptr_t = nullptr) {}
+ PDLValue(Attribute value)
+ : value(value.getAsOpaquePointer()), kind(Kind::Attribute) {}
+ PDLValue(Operation *value) : value(value), kind(Kind::Operation) {}
+ PDLValue(Type value) : value(value.getAsOpaquePointer()), kind(Kind::Type) {}
+ PDLValue(TypeRange *value) : value(value), kind(Kind::TypeRange) {}
+ PDLValue(Value value)
+ : value(value.getAsOpaquePointer()), kind(Kind::Value) {}
+ PDLValue(ValueRange *value) : value(value), kind(Kind::ValueRange) {}
+
+ /// Returns true if the type of the held value is `T`.
+ template <typename T>
+ bool isa() const {
+ assert(value && "isa<> used on a null value");
+ return kind == getKindOf<T>();
+ }
+
+ /// Attempt to dynamically cast this value to type `T`, returns null if this
+ /// value is not an instance of `T`.
+ template <typename T,
+ typename ResultT = std::conditional_t<
+ std::is_convertible<T, bool>::value, T, std::optional<T>>>
+ ResultT dyn_cast() const {
+ return isa<T>() ? castImpl<T>() : ResultT();
+ }
+
+ /// Cast this value to type `T`, asserts if this value is not an instance of
+ /// `T`.
+ template <typename T>
+ T cast() const {
+ assert(isa<T>() && "expected value to be of type `T`");
+ return castImpl<T>();
+ }
+
+ /// Get an opaque pointer to the value.
+ const void *getAsOpaquePointer() const { return value; }
+
+ /// Return if this value is null or not.
+ explicit operator bool() const { return value; }
+
+ /// Return the kind of this value.
+ Kind getKind() const { return kind; }
+
+ /// Print this value to the provided output stream.
+ void print(raw_ostream &os) const;
+
+ /// Print the specified value kind to an output stream.
+ static void print(raw_ostream &os, Kind kind);
+
+private:
+ /// Find the index of a given type in a range of other types.
+ template <typename...>
+ struct index_of_t;
+ template <typename T, typename... R>
+ struct index_of_t<T, T, R...> : std::integral_constant<size_t, 0> {};
+ template <typename T, typename F, typename... R>
+ struct index_of_t<T, F, R...>
+ : std::integral_constant<size_t, 1 + index_of_t<T, R...>::value> {};
+
+ /// Return the kind used for the given T.
+ template <typename T>
+ static Kind getKindOf() {
+ return static_cast<Kind>(index_of_t<T, Attribute, Operation *, Type,
+ TypeRange, Value, ValueRange>::value);
+ }
+
+ /// The internal implementation of `cast`, that returns the underlying value
+ /// as the given type `T`.
+ template <typename T>
+ std::enable_if_t<llvm::is_one_of<T, Attribute, Type, Value>::value, T>
+ castImpl() const {
+ return T::getFromOpaquePointer(value);
+ }
+ template <typename T>
+ std::enable_if_t<llvm::is_one_of<T, TypeRange, ValueRange>::value, T>
+ castImpl() const {
+ return *reinterpret_cast<T *>(const_cast<void *>(value));
+ }
+ template <typename T>
+ std::enable_if_t<std::is_pointer<T>::value, T> castImpl() const {
+ return reinterpret_cast<T>(const_cast<void *>(value));
+ }
+
+ /// The internal opaque representation of a PDLValue.
+ const void *value{nullptr};
+ /// The kind of the opaque value.
+ Kind kind{Kind::Attribute};
+};
+
+inline raw_ostream &operator<<(raw_ostream &os, PDLValue value) {
+ value.print(os);
+ return os;
+}
+
+inline raw_ostream &operator<<(raw_ostream &os, PDLValue::Kind kind) {
+ PDLValue::print(os, kind);
+ return os;
+}
+
+//===----------------------------------------------------------------------===//
+// PDLResultList
+
+/// The class represents a list of PDL results, returned by a native rewrite
+/// method. It provides the mechanism with which to pass PDLValues back to the
+/// PDL bytecode.
+class PDLResultList {
+public:
+ /// Push a new Attribute value onto the result list.
+ void push_back(Attribute value) { results.push_back(value); }
+
+ /// Push a new Operation onto the result list.
+ void push_back(Operation *value) { results.push_back(value); }
+
+ /// Push a new Type onto the result list.
+ void push_back(Type value) { results.push_back(value); }
+
+ /// Push a new TypeRange onto the result list.
+ void push_back(TypeRange value) {
+ // The lifetime of a TypeRange can't be guaranteed, so we'll need to
+ // allocate a storage for it.
+ llvm::OwningArrayRef<Type> storage(value.size());
+ llvm::copy(value, storage.begin());
+ allocatedTypeRanges.emplace_back(std::move(storage));
+ typeRanges.push_back(allocatedTypeRanges.back());
+ results.push_back(&typeRanges.back());
+ }
+ void push_back(ValueTypeRange<OperandRange> value) {
+ typeRanges.push_back(value);
+ results.push_back(&typeRanges.back());
+ }
+ void push_back(ValueTypeRange<ResultRange> value) {
+ typeRanges.push_back(value);
+ results.push_back(&typeRanges.back());
+ }
+
+ /// Push a new Value onto the result list.
+ void push_back(Value value) { results.push_back(value); }
+
+ /// Push a new ValueRange onto the result list.
+ void push_back(ValueRange value) {
+ // The lifetime of a ValueRange can't be guaranteed, so we'll need to
+ // allocate a storage for it.
+ llvm::OwningArrayRef<Value> storage(value.size());
+ llvm::copy(value, storage.begin());
+ allocatedValueRanges.emplace_back(std::move(storage));
+ valueRanges.push_back(allocatedValueRanges.back());
+ results.push_back(&valueRanges.back());
+ }
+ void push_back(OperandRange value) {
+ valueRanges.push_back(value);
+ results.push_back(&valueRanges.back());
+ }
+ void push_back(ResultRange value) {
+ valueRanges.push_back(value);
+ results.push_back(&valueRanges.back());
+ }
+
+protected:
+ /// Create a new result list with the expected number of results.
+ PDLResultList(unsigned maxNumResults) {
+ // For now just reserve enough space for all of the results. We could do
+ // separate counts per range type, but it isn't really worth it unless there
+ // are a "large" number of results.
+ typeRanges.reserve(maxNumResults);
+ valueRanges.reserve(maxNumResults);
+ }
+
+ /// The PDL results held by this list.
+ SmallVector<PDLValue> results;
+ /// Memory used to store ranges held by the list.
+ SmallVector<TypeRange> typeRanges;
+ SmallVector<ValueRange> valueRanges;
+ /// Memory allocated to store ranges in the result list whose lifetime was
+ /// generated in the native function.
+ SmallVector<llvm::OwningArrayRef<Type>> allocatedTypeRanges;
+ SmallVector<llvm::OwningArrayRef<Value>> allocatedValueRanges;
+};
+
+//===----------------------------------------------------------------------===//
+// PDLPatternConfig
+
+/// An individual configuration for a pattern, which can be accessed by native
+/// functions via the PDLPatternConfigSet. This allows for injecting additional
+/// configuration into PDL patterns that is specific to certain compilation
+/// flows.
+class PDLPatternConfig {
+public:
+ virtual ~PDLPatternConfig() = default;
+
+ /// Hooks that are invoked at the beginning and end of a rewrite of a matched
+ /// pattern. These can be used to setup any specific state necessary for the
+ /// rewrite.
+ virtual void notifyRewriteBegin(PatternRewriter &rewriter) {}
+ virtual void notifyRewriteEnd(PatternRewriter &rewriter) {}
+
+ /// Return the TypeID that represents this configuration.
+ TypeID getTypeID() const { return id; }
+
+protected:
+ PDLPatternConfig(TypeID id) : id(id) {}
+
+private:
+ TypeID id;
+};
+
+/// This class provides a base class for users implementing a type of pattern
+/// configuration.
+template <typename T>
+class PDLPatternConfigBase : public PDLPatternConfig {
+public:
+ /// Support LLVM style casting.
+ static bool classof(const PDLPatternConfig *config) {
+ return config->getTypeID() == getConfigID();
+ }
+
+ /// Return the type id used for this configuration.
+ static TypeID getConfigID() { return TypeID::get<T>(); }
+
+protected:
+ PDLPatternConfigBase() : PDLPatternConfig(getConfigID()) {}
+};
+
+/// This class contains a set of configurations for a specific pattern.
+/// Configurations are uniqued by TypeID, meaning that only one configuration of
+/// each type is allowed.
+class PDLPatternConfigSet {
+public:
+ PDLPatternConfigSet() = default;
+
+ /// Construct a set with the given configurations.
+ template <typename... ConfigsT>
+ PDLPatternConfigSet(ConfigsT &&...configs) {
+ (addConfig(std::forward<ConfigsT>(configs)), ...);
+ }
+
+ /// Get the configuration defined by the given type. Asserts that the
+ /// configuration of the provided type exists.
+ template <typename T>
+ const T &get() const {
+ const T *config = tryGet<T>();
+ assert(config && "configuration not found");
+ return *config;
+ }
+
+ /// Get the configuration defined by the given type, returns nullptr if the
+ /// configuration does not exist.
+ template <typename T>
+ const T *tryGet() const {
+ for (const auto &configIt : configs)
+ if (const T *config = dyn_cast<T>(configIt.get()))
+ return config;
+ return nullptr;
+ }
+
+ /// Notify the configurations within this set at the beginning or end of a
+ /// rewrite of a matched pattern.
+ void notifyRewriteBegin(PatternRewriter &rewriter) {
+ for (const auto &config : configs)
+ config->notifyRewriteBegin(rewriter);
+ }
+ void notifyRewriteEnd(PatternRewriter &rewriter) {
+ for (const auto &config : configs)
+ config->notifyRewriteEnd(rewriter);
+ }
+
+protected:
+ /// Add a configuration to the set.
+ template <typename T>
+ void addConfig(T &&config) {
+ assert(!tryGet<std::decay_t<T>>() && "configuration already exists");
+ configs.emplace_back(
+ std::make_unique<std::decay_t<T>>(std::forward<T>(config)));
+ }
+
+ /// The set of configurations for this pattern. This uses a vector instead of
+ /// a map with the expectation that the number of configurations per set is
+ /// small (<= 1).
+ SmallVector<std::unique_ptr<PDLPatternConfig>> configs;
+};
+
+//===----------------------------------------------------------------------===//
+// PDLPatternModule
+
+/// A generic PDL pattern constraint function. This function applies a
+/// constraint to a given set of opaque PDLValue entities. Returns success if
+/// the constraint successfully held, failure otherwise.
+using PDLConstraintFunction =
+ std::function<LogicalResult(PatternRewriter &, ArrayRef<PDLValue>)>;
+/// A native PDL rewrite function. This function performs a rewrite on the
+/// given set of values. Any results from this rewrite that should be passed
+/// back to PDL should be added to the provided result list. This method is only
+/// invoked when the corresponding match was successful. Returns failure if an
+/// invariant of the rewrite was broken (certain rewriters may recover from
+/// partial pattern application).
+using PDLRewriteFunction = std::function<LogicalResult(
+ PatternRewriter &, PDLResultList &, ArrayRef<PDLValue>)>;
+
+namespace detail {
+namespace pdl_function_builder {
+/// A utility variable that always resolves to false. This is useful for static
+/// asserts that are always false, but only should fire in certain templated
+/// constructs. For example, if a templated function should never be called, the
+/// function could be defined as:
+///
+/// template <typename T>
+/// void foo() {
+/// static_assert(always_false<T>, "This function should never be called");
+/// }
+///
+template <class... T>
+constexpr bool always_false = false;
+
+//===----------------------------------------------------------------------===//
+// PDL Function Builder: Type Processing
+//===----------------------------------------------------------------------===//
+
+/// This struct provides a convenient way to determine how to process a given
+/// type as either a PDL parameter, or a result value. This allows for
+/// supporting complex types in constraint and rewrite functions, without
+/// requiring the user to hand-write the necessary glue code themselves.
+/// Specializations of this class should implement the following methods to
+/// enable support as a PDL argument or result type:
+///
+/// static LogicalResult verifyAsArg(
+/// function_ref<LogicalResult(const Twine &)> errorFn, PDLValue pdlValue,
+/// size_t argIdx);
+///
+/// * This method verifies that the given PDLValue is valid for use as a
+/// value of `T`.
+///
+/// static T processAsArg(PDLValue pdlValue);
+///
+/// * This method processes the given PDLValue as a value of `T`.
+///
+/// static void processAsResult(PatternRewriter &, PDLResultList &results,
+/// const T &value);
+///
+/// * This method processes the given value of `T` as the result of a
+/// function invocation. The method should package the value into an
+/// appropriate form and append it to the given result list.
+///
+/// If the type `T` is based on a higher order value, consider using
+/// `ProcessPDLValueBasedOn` as a base class of the specialization to simplify
+/// the implementation.
+///
+template <typename T, typename Enable = void>
+struct ProcessPDLValue;
+
+/// This struct provides a simplified model for processing types that are based
+/// on another type, e.g. APInt is based on the handling for IntegerAttr. This
+/// allows for building the necessary processing functions on top of the base
+/// value instead of a PDLValue. Derived users should implement the following
+/// (which subsume the ProcessPDLValue variants):
+///
+/// static LogicalResult verifyAsArg(
+/// function_ref<LogicalResult(const Twine &)> errorFn,
+/// const BaseT &baseValue, size_t argIdx);
+///
+/// * This method verifies that the given PDLValue is valid for use as a
+/// value of `T`.
+///
+/// static T processAsArg(BaseT baseValue);
+///
+/// * This method processes the given base value as a value of `T`.
+///
+template <typename T, typename BaseT>
+struct ProcessPDLValueBasedOn {
+ static LogicalResult
+ verifyAsArg(function_ref<LogicalResult(const Twine &)> errorFn,
+ PDLValue pdlValue, size_t argIdx) {
+ // Verify the base class before continuing.
+ if (failed(ProcessPDLValue<BaseT>::verifyAsArg(errorFn, pdlValue, argIdx)))
+ return failure();
+ return ProcessPDLValue<T>::verifyAsArg(
+ errorFn, ProcessPDLValue<BaseT>::processAsArg(pdlValue), argIdx);
+ }
+ static T processAsArg(PDLValue pdlValue) {
+ return ProcessPDLValue<T>::processAsArg(
+ ProcessPDLValue<BaseT>::processAsArg(pdlValue));
+ }
+
+ /// Explicitly add the expected parent API to ensure the parent class
+ /// implements the necessary API (and doesn't implicitly inherit it from
+ /// somewhere else).
+ static LogicalResult
+ verifyAsArg(function_ref<LogicalResult(const Twine &)> errorFn, BaseT value,
+ size_t argIdx) {
+ return success();
+ }
+ static T processAsArg(BaseT baseValue);
+};
+
+/// ...
[truncated]
``````````
</details>
https://github.com/llvm/llvm-project/pull/69927
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