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This is a first step towards high level representation for fp8 types that have been built in to hardware with near term roadmaps. Like the BFLOAT16 type, the family of fp8 types are inspired by IEEE-754 binary floating point formats but, due to the size limits, have been tweaked in various ways in order to maximally use the range/precision in various scenarios. The list of variants is small/finite and bounded by real hardware. This patch introduces the E5M2 FP8 format as proposed by Nvidia, ARM, and Intel in the paper: https://arxiv.org/pdf/2209.05433.pdf As the more conformant of the two implemented datatypes, we are plumbing it through LLVM's APFloat type and MLIR's type system first as a template. It will be followed by the range optimized E4M3 FP8 format described in the paper. Since that format deviates further from the IEEE-754 norms, it may require more debate and implementation complexity. Given that we see two parts of the FP8 implementation space represented by these cases, we are recommending naming of: * `F8M<N>` : For FP8 types that can be conceived of as following the same rules as FP16 but with a smaller number of mantissa/exponent bits. Including the number of mantissa bits in the type name is enough to fully specify the type. This naming scheme is used to represent the E5M2 type described in the paper. * `F8M<N>F` : For FP8 types such as E4M3 which only support finite values. The first of these (this patch) seems fairly non-controversial. The second is previewed here to illustrate options for extending to the other known variant (but can be discussed in detail in the patch which implements it). Many conversations about these types focus on the Machine-Learning ecosystem where they are used to represent mixed-datatype computations at a high level. At that level (which is why we also expose them in MLIR), it is important to retain the actual type definition so that when lowering to actual kernels or target specific code, the correct promotions, casts and rescalings can be done as needed. We expect that most LLVM backends will only experience these types as opaque `I8` values that are applicable to some instructions. MLIR does not make it particularly easy to add new floating point types (i.e. the FloatType hierarchy is not open). Given the need to fully model FloatTypes and make them interop with tooling, such types will always be "heavy-weight" and it is not expected that a highly open type system will be particularly helpful. There are also a bounded number of floating point types in use for current and upcoming hardware, and we can just implement them like this (perhaps looking for some cosmetic ways to reduce the number of places that need to change). Creating a more generic mechanism for extending floating point types seems like it wouldn't be worth it and we should just deal with defining them one by one on an as-needed basis when real hardware implements a new scheme. Hopefully, with some additional production use and complete software stacks, hardware makers will converge on a set of such types that is not terribly divergent at the level that the compiler cares about. (I cleaned up some old formatting and sorted some items for this case: If we converge on landing this in some form, I will NFC commit format only changes as a separate commit) Differential Revision: https://reviews.llvm.org/D133823
1076 lines
40 KiB
C++
1076 lines
40 KiB
C++
//===- MLIRContext.cpp - MLIR Type Classes --------------------------------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/IR/MLIRContext.h"
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#include "AffineExprDetail.h"
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#include "AffineMapDetail.h"
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#include "AttributeDetail.h"
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#include "IntegerSetDetail.h"
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#include "TypeDetail.h"
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#include "mlir/IR/AffineExpr.h"
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#include "mlir/IR/AffineMap.h"
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#include "mlir/IR/Attributes.h"
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#include "mlir/IR/BuiltinDialect.h"
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#include "mlir/IR/Diagnostics.h"
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#include "mlir/IR/Dialect.h"
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#include "mlir/IR/ExtensibleDialect.h"
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#include "mlir/IR/IntegerSet.h"
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#include "mlir/IR/Location.h"
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#include "mlir/IR/OpImplementation.h"
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#include "mlir/IR/Types.h"
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#include "mlir/Support/DebugAction.h"
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#include "llvm/ADT/DenseMap.h"
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#include "llvm/ADT/DenseSet.h"
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#include "llvm/ADT/SmallString.h"
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#include "llvm/ADT/StringSet.h"
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#include "llvm/ADT/Twine.h"
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#include "llvm/Support/Allocator.h"
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#include "llvm/Support/CommandLine.h"
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#include "llvm/Support/Debug.h"
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#include "llvm/Support/Mutex.h"
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#include "llvm/Support/RWMutex.h"
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#include "llvm/Support/ThreadPool.h"
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#include "llvm/Support/raw_ostream.h"
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#include <memory>
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#define DEBUG_TYPE "mlircontext"
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using namespace mlir;
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using namespace mlir::detail;
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//===----------------------------------------------------------------------===//
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// MLIRContext CommandLine Options
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//===----------------------------------------------------------------------===//
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namespace {
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/// This struct contains command line options that can be used to initialize
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/// various bits of an MLIRContext. This uses a struct wrapper to avoid the need
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/// for global command line options.
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struct MLIRContextOptions {
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llvm::cl::opt<bool> disableThreading{
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"mlir-disable-threading",
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llvm::cl::desc("Disable multi-threading within MLIR, overrides any "
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"further call to MLIRContext::enableMultiThreading()")};
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llvm::cl::opt<bool> printOpOnDiagnostic{
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"mlir-print-op-on-diagnostic",
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llvm::cl::desc("When a diagnostic is emitted on an operation, also print "
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"the operation as an attached note"),
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llvm::cl::init(true)};
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llvm::cl::opt<bool> printStackTraceOnDiagnostic{
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"mlir-print-stacktrace-on-diagnostic",
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llvm::cl::desc("When a diagnostic is emitted, also print the stack trace "
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"as an attached note")};
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};
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} // namespace
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static llvm::ManagedStatic<MLIRContextOptions> clOptions;
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static bool isThreadingGloballyDisabled() {
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#if LLVM_ENABLE_THREADS != 0
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return clOptions.isConstructed() && clOptions->disableThreading;
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#else
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return true;
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#endif
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}
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/// Register a set of useful command-line options that can be used to configure
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/// various flags within the MLIRContext. These flags are used when constructing
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/// an MLIR context for initialization.
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void mlir::registerMLIRContextCLOptions() {
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// Make sure that the options struct has been initialized.
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*clOptions;
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}
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//===----------------------------------------------------------------------===//
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// Locking Utilities
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//===----------------------------------------------------------------------===//
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namespace {
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/// Utility writer lock that takes a runtime flag that specifies if we really
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/// need to lock.
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struct ScopedWriterLock {
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ScopedWriterLock(llvm::sys::SmartRWMutex<true> &mutexParam, bool shouldLock)
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: mutex(shouldLock ? &mutexParam : nullptr) {
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if (mutex)
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mutex->lock();
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}
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~ScopedWriterLock() {
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if (mutex)
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mutex->unlock();
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}
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llvm::sys::SmartRWMutex<true> *mutex;
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};
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} // namespace
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//===----------------------------------------------------------------------===//
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// MLIRContextImpl
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//===----------------------------------------------------------------------===//
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namespace mlir {
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/// This is the implementation of the MLIRContext class, using the pImpl idiom.
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/// This class is completely private to this file, so everything is public.
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class MLIRContextImpl {
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public:
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//===--------------------------------------------------------------------===//
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// Debugging
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//===--------------------------------------------------------------------===//
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/// An action manager for use within the context.
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DebugActionManager debugActionManager;
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//===--------------------------------------------------------------------===//
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// Diagnostics
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//===--------------------------------------------------------------------===//
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DiagnosticEngine diagEngine;
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//===--------------------------------------------------------------------===//
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// Options
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//===--------------------------------------------------------------------===//
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/// In most cases, creating operation in unregistered dialect is not desired
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/// and indicate a misconfiguration of the compiler. This option enables to
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/// detect such use cases
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bool allowUnregisteredDialects = false;
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/// Enable support for multi-threading within MLIR.
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bool threadingIsEnabled = true;
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/// Track if we are currently executing in a threaded execution environment
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/// (like the pass-manager): this is only a debugging feature to help reducing
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/// the chances of data races one some context APIs.
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#ifndef NDEBUG
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std::atomic<int> multiThreadedExecutionContext{0};
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#endif
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/// If the operation should be attached to diagnostics printed via the
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/// Operation::emit methods.
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bool printOpOnDiagnostic = true;
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/// If the current stack trace should be attached when emitting diagnostics.
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bool printStackTraceOnDiagnostic = false;
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//===--------------------------------------------------------------------===//
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// Other
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//===--------------------------------------------------------------------===//
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/// This points to the ThreadPool used when processing MLIR tasks in parallel.
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/// It can't be nullptr when multi-threading is enabled. Otherwise if
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/// multi-threading is disabled, and the threadpool wasn't externally provided
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/// using `setThreadPool`, this will be nullptr.
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llvm::ThreadPool *threadPool = nullptr;
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/// In case where the thread pool is owned by the context, this ensures
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/// destruction with the context.
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std::unique_ptr<llvm::ThreadPool> ownedThreadPool;
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/// This is a list of dialects that are created referring to this context.
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/// The MLIRContext owns the objects.
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DenseMap<StringRef, std::unique_ptr<Dialect>> loadedDialects;
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DialectRegistry dialectsRegistry;
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/// An allocator used for AbstractAttribute and AbstractType objects.
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llvm::BumpPtrAllocator abstractDialectSymbolAllocator;
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/// This is a mapping from operation name to the operation info describing it.
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llvm::StringMap<OperationName::Impl> operations;
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/// A vector of operation info specifically for registered operations.
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llvm::StringMap<RegisteredOperationName> registeredOperations;
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/// This is a sorted container of registered operations for a deterministic
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/// and efficient `getRegisteredOperations` implementation.
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SmallVector<RegisteredOperationName, 0> sortedRegisteredOperations;
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/// A mutex used when accessing operation information.
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llvm::sys::SmartRWMutex<true> operationInfoMutex;
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//===--------------------------------------------------------------------===//
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// Affine uniquing
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//===--------------------------------------------------------------------===//
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// Affine expression, map and integer set uniquing.
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StorageUniquer affineUniquer;
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//===--------------------------------------------------------------------===//
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// Type uniquing
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//===--------------------------------------------------------------------===//
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DenseMap<TypeID, AbstractType *> registeredTypes;
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StorageUniquer typeUniquer;
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/// Cached Type Instances.
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Float8E5M2Type f8E5M2Ty;
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BFloat16Type bf16Ty;
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Float16Type f16Ty;
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Float32Type f32Ty;
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Float64Type f64Ty;
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Float80Type f80Ty;
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Float128Type f128Ty;
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IndexType indexTy;
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IntegerType int1Ty, int8Ty, int16Ty, int32Ty, int64Ty, int128Ty;
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NoneType noneType;
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//===--------------------------------------------------------------------===//
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// Attribute uniquing
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//===--------------------------------------------------------------------===//
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DenseMap<TypeID, AbstractAttribute *> registeredAttributes;
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StorageUniquer attributeUniquer;
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/// Cached Attribute Instances.
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BoolAttr falseAttr, trueAttr;
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UnitAttr unitAttr;
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UnknownLoc unknownLocAttr;
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DictionaryAttr emptyDictionaryAttr;
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StringAttr emptyStringAttr;
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/// Map of string attributes that may reference a dialect, that are awaiting
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/// that dialect to be loaded.
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llvm::sys::SmartMutex<true> dialectRefStrAttrMutex;
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DenseMap<StringRef, SmallVector<StringAttrStorage *>>
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dialectReferencingStrAttrs;
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public:
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MLIRContextImpl(bool threadingIsEnabled)
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: threadingIsEnabled(threadingIsEnabled) {
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if (threadingIsEnabled) {
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ownedThreadPool = std::make_unique<llvm::ThreadPool>();
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threadPool = ownedThreadPool.get();
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}
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}
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~MLIRContextImpl() {
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for (auto typeMapping : registeredTypes)
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typeMapping.second->~AbstractType();
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for (auto attrMapping : registeredAttributes)
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attrMapping.second->~AbstractAttribute();
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}
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};
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} // namespace mlir
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MLIRContext::MLIRContext(Threading setting)
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: MLIRContext(DialectRegistry(), setting) {}
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MLIRContext::MLIRContext(const DialectRegistry ®istry, Threading setting)
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: impl(new MLIRContextImpl(setting == Threading::ENABLED &&
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!isThreadingGloballyDisabled())) {
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// Initialize values based on the command line flags if they were provided.
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if (clOptions.isConstructed()) {
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printOpOnDiagnostic(clOptions->printOpOnDiagnostic);
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printStackTraceOnDiagnostic(clOptions->printStackTraceOnDiagnostic);
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}
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// Pre-populate the registry.
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registry.appendTo(impl->dialectsRegistry);
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// Ensure the builtin dialect is always pre-loaded.
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getOrLoadDialect<BuiltinDialect>();
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// Initialize several common attributes and types to avoid the need to lock
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// the context when accessing them.
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//// Types.
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/// Floating-point Types.
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impl->f8E5M2Ty = TypeUniquer::get<Float8E5M2Type>(this);
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impl->bf16Ty = TypeUniquer::get<BFloat16Type>(this);
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impl->f16Ty = TypeUniquer::get<Float16Type>(this);
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impl->f32Ty = TypeUniquer::get<Float32Type>(this);
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impl->f64Ty = TypeUniquer::get<Float64Type>(this);
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impl->f80Ty = TypeUniquer::get<Float80Type>(this);
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impl->f128Ty = TypeUniquer::get<Float128Type>(this);
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/// Index Type.
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impl->indexTy = TypeUniquer::get<IndexType>(this);
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/// Integer Types.
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impl->int1Ty = TypeUniquer::get<IntegerType>(this, 1, IntegerType::Signless);
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impl->int8Ty = TypeUniquer::get<IntegerType>(this, 8, IntegerType::Signless);
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impl->int16Ty =
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TypeUniquer::get<IntegerType>(this, 16, IntegerType::Signless);
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impl->int32Ty =
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TypeUniquer::get<IntegerType>(this, 32, IntegerType::Signless);
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impl->int64Ty =
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TypeUniquer::get<IntegerType>(this, 64, IntegerType::Signless);
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impl->int128Ty =
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TypeUniquer::get<IntegerType>(this, 128, IntegerType::Signless);
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/// None Type.
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impl->noneType = TypeUniquer::get<NoneType>(this);
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//// Attributes.
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//// Note: These must be registered after the types as they may generate one
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//// of the above types internally.
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/// Unknown Location Attribute.
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impl->unknownLocAttr = AttributeUniquer::get<UnknownLoc>(this);
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/// Bool Attributes.
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impl->falseAttr = IntegerAttr::getBoolAttrUnchecked(impl->int1Ty, false);
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impl->trueAttr = IntegerAttr::getBoolAttrUnchecked(impl->int1Ty, true);
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/// Unit Attribute.
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impl->unitAttr = AttributeUniquer::get<UnitAttr>(this);
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/// The empty dictionary attribute.
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impl->emptyDictionaryAttr = DictionaryAttr::getEmptyUnchecked(this);
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/// The empty string attribute.
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impl->emptyStringAttr = StringAttr::getEmptyStringAttrUnchecked(this);
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// Register the affine storage objects with the uniquer.
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impl->affineUniquer
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.registerParametricStorageType<AffineBinaryOpExprStorage>();
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impl->affineUniquer
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.registerParametricStorageType<AffineConstantExprStorage>();
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impl->affineUniquer.registerParametricStorageType<AffineDimExprStorage>();
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impl->affineUniquer.registerParametricStorageType<AffineMapStorage>();
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impl->affineUniquer.registerParametricStorageType<IntegerSetStorage>();
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}
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MLIRContext::~MLIRContext() = default;
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/// Copy the specified array of elements into memory managed by the provided
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/// bump pointer allocator. This assumes the elements are all PODs.
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template <typename T>
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static ArrayRef<T> copyArrayRefInto(llvm::BumpPtrAllocator &allocator,
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ArrayRef<T> elements) {
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auto result = allocator.Allocate<T>(elements.size());
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std::uninitialized_copy(elements.begin(), elements.end(), result);
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return ArrayRef<T>(result, elements.size());
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}
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//===----------------------------------------------------------------------===//
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// Debugging
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//===----------------------------------------------------------------------===//
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DebugActionManager &MLIRContext::getDebugActionManager() {
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return getImpl().debugActionManager;
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}
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//===----------------------------------------------------------------------===//
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// Diagnostic Handlers
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//===----------------------------------------------------------------------===//
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/// Returns the diagnostic engine for this context.
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DiagnosticEngine &MLIRContext::getDiagEngine() { return getImpl().diagEngine; }
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//===----------------------------------------------------------------------===//
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// Dialect and Operation Registration
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//===----------------------------------------------------------------------===//
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void MLIRContext::appendDialectRegistry(const DialectRegistry ®istry) {
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if (registry.isSubsetOf(impl->dialectsRegistry))
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return;
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assert(impl->multiThreadedExecutionContext == 0 &&
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"appending to the MLIRContext dialect registry while in a "
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"multi-threaded execution context");
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registry.appendTo(impl->dialectsRegistry);
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// For the already loaded dialects, apply any possible extensions immediately.
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registry.applyExtensions(this);
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}
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const DialectRegistry &MLIRContext::getDialectRegistry() {
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return impl->dialectsRegistry;
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}
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/// Return information about all registered IR dialects.
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std::vector<Dialect *> MLIRContext::getLoadedDialects() {
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std::vector<Dialect *> result;
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result.reserve(impl->loadedDialects.size());
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for (auto &dialect : impl->loadedDialects)
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result.push_back(dialect.second.get());
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llvm::array_pod_sort(result.begin(), result.end(),
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[](Dialect *const *lhs, Dialect *const *rhs) -> int {
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return (*lhs)->getNamespace() < (*rhs)->getNamespace();
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});
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return result;
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}
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std::vector<StringRef> MLIRContext::getAvailableDialects() {
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std::vector<StringRef> result;
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for (auto dialect : impl->dialectsRegistry.getDialectNames())
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result.push_back(dialect);
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return result;
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}
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/// Get a registered IR dialect with the given namespace. If none is found,
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/// then return nullptr.
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Dialect *MLIRContext::getLoadedDialect(StringRef name) {
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// Dialects are sorted by name, so we can use binary search for lookup.
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auto it = impl->loadedDialects.find(name);
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return (it != impl->loadedDialects.end()) ? it->second.get() : nullptr;
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}
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Dialect *MLIRContext::getOrLoadDialect(StringRef name) {
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Dialect *dialect = getLoadedDialect(name);
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if (dialect)
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return dialect;
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DialectAllocatorFunctionRef allocator =
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impl->dialectsRegistry.getDialectAllocator(name);
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return allocator ? allocator(this) : nullptr;
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}
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/// Get a dialect for the provided namespace and TypeID: abort the program if a
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/// dialect exist for this namespace with different TypeID. Returns a pointer to
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/// the dialect owned by the context.
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Dialect *
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MLIRContext::getOrLoadDialect(StringRef dialectNamespace, TypeID dialectID,
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function_ref<std::unique_ptr<Dialect>()> ctor) {
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auto &impl = getImpl();
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// Get the correct insertion position sorted by namespace.
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auto dialectIt = impl.loadedDialects.find(dialectNamespace);
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if (dialectIt == impl.loadedDialects.end()) {
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LLVM_DEBUG(llvm::dbgs()
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<< "Load new dialect in Context " << dialectNamespace << "\n");
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#ifndef NDEBUG
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if (impl.multiThreadedExecutionContext != 0)
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llvm::report_fatal_error(
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"Loading a dialect (" + dialectNamespace +
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") while in a multi-threaded execution context (maybe "
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"the PassManager): this can indicate a "
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"missing `dependentDialects` in a pass for example.");
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#endif
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std::unique_ptr<Dialect> &dialect =
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impl.loadedDialects.insert({dialectNamespace, ctor()}).first->second;
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assert(dialect && "dialect ctor failed");
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// Refresh all the identifiers dialect field, this catches cases where a
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// dialect may be loaded after identifier prefixed with this dialect name
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// were already created.
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auto stringAttrsIt = impl.dialectReferencingStrAttrs.find(dialectNamespace);
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if (stringAttrsIt != impl.dialectReferencingStrAttrs.end()) {
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for (StringAttrStorage *storage : stringAttrsIt->second)
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storage->referencedDialect = dialect.get();
|
|
impl.dialectReferencingStrAttrs.erase(stringAttrsIt);
|
|
}
|
|
|
|
// Apply any extensions to this newly loaded dialect.
|
|
impl.dialectsRegistry.applyExtensions(dialect.get());
|
|
return dialect.get();
|
|
}
|
|
|
|
// Abort if dialect with namespace has already been registered.
|
|
std::unique_ptr<Dialect> &dialect = dialectIt->second;
|
|
if (dialect->getTypeID() != dialectID)
|
|
llvm::report_fatal_error("a dialect with namespace '" + dialectNamespace +
|
|
"' has already been registered");
|
|
|
|
return dialect.get();
|
|
}
|
|
|
|
DynamicDialect *MLIRContext::getOrLoadDynamicDialect(
|
|
StringRef dialectNamespace, function_ref<void(DynamicDialect *)> ctor) {
|
|
auto &impl = getImpl();
|
|
// Get the correct insertion position sorted by namespace.
|
|
auto dialectIt = impl.loadedDialects.find(dialectNamespace);
|
|
|
|
if (dialectIt != impl.loadedDialects.end()) {
|
|
if (auto dynDialect = dyn_cast<DynamicDialect>(dialectIt->second.get()))
|
|
return dynDialect;
|
|
llvm::report_fatal_error("a dialect with namespace '" + dialectNamespace +
|
|
"' has already been registered");
|
|
}
|
|
|
|
LLVM_DEBUG(llvm::dbgs() << "Load new dynamic dialect in Context "
|
|
<< dialectNamespace << "\n");
|
|
#ifndef NDEBUG
|
|
if (impl.multiThreadedExecutionContext != 0)
|
|
llvm::report_fatal_error(
|
|
"Loading a dynamic dialect (" + dialectNamespace +
|
|
") while in a multi-threaded execution context (maybe "
|
|
"the PassManager): this can indicate a "
|
|
"missing `dependentDialects` in a pass for example.");
|
|
#endif
|
|
|
|
auto name = StringAttr::get(this, dialectNamespace);
|
|
auto *dialect = new DynamicDialect(name, this);
|
|
(void)getOrLoadDialect(name, dialect->getTypeID(), [dialect, ctor]() {
|
|
ctor(dialect);
|
|
return std::unique_ptr<DynamicDialect>(dialect);
|
|
});
|
|
// This is the same result as `getOrLoadDialect` (if it didn't failed),
|
|
// since it has the same TypeID, and TypeIDs are unique.
|
|
return dialect;
|
|
}
|
|
|
|
void MLIRContext::loadAllAvailableDialects() {
|
|
for (StringRef name : getAvailableDialects())
|
|
getOrLoadDialect(name);
|
|
}
|
|
|
|
llvm::hash_code MLIRContext::getRegistryHash() {
|
|
llvm::hash_code hash(0);
|
|
// Factor in number of loaded dialects, attributes, operations, types.
|
|
hash = llvm::hash_combine(hash, impl->loadedDialects.size());
|
|
hash = llvm::hash_combine(hash, impl->registeredAttributes.size());
|
|
hash = llvm::hash_combine(hash, impl->registeredOperations.size());
|
|
hash = llvm::hash_combine(hash, impl->registeredTypes.size());
|
|
return hash;
|
|
}
|
|
|
|
bool MLIRContext::allowsUnregisteredDialects() {
|
|
return impl->allowUnregisteredDialects;
|
|
}
|
|
|
|
void MLIRContext::allowUnregisteredDialects(bool allowing) {
|
|
assert(impl->multiThreadedExecutionContext == 0 &&
|
|
"changing MLIRContext `allow-unregistered-dialects` configuration "
|
|
"while in a multi-threaded execution context");
|
|
impl->allowUnregisteredDialects = allowing;
|
|
}
|
|
|
|
/// Return true if multi-threading is enabled by the context.
|
|
bool MLIRContext::isMultithreadingEnabled() {
|
|
return impl->threadingIsEnabled && llvm::llvm_is_multithreaded();
|
|
}
|
|
|
|
/// Set the flag specifying if multi-threading is disabled by the context.
|
|
void MLIRContext::disableMultithreading(bool disable) {
|
|
// This API can be overridden by the global debugging flag
|
|
// --mlir-disable-threading
|
|
if (isThreadingGloballyDisabled())
|
|
return;
|
|
assert(impl->multiThreadedExecutionContext == 0 &&
|
|
"changing MLIRContext `disable-threading` configuration while "
|
|
"in a multi-threaded execution context");
|
|
|
|
impl->threadingIsEnabled = !disable;
|
|
|
|
// Update the threading mode for each of the uniquers.
|
|
impl->affineUniquer.disableMultithreading(disable);
|
|
impl->attributeUniquer.disableMultithreading(disable);
|
|
impl->typeUniquer.disableMultithreading(disable);
|
|
|
|
// Destroy thread pool (stop all threads) if it is no longer needed, or create
|
|
// a new one if multithreading was re-enabled.
|
|
if (disable) {
|
|
// If the thread pool is owned, explicitly set it to nullptr to avoid
|
|
// keeping a dangling pointer around. If the thread pool is externally
|
|
// owned, we don't do anything.
|
|
if (impl->ownedThreadPool) {
|
|
assert(impl->threadPool);
|
|
impl->threadPool = nullptr;
|
|
impl->ownedThreadPool.reset();
|
|
}
|
|
} else if (!impl->threadPool) {
|
|
// The thread pool isn't externally provided.
|
|
assert(!impl->ownedThreadPool);
|
|
impl->ownedThreadPool = std::make_unique<llvm::ThreadPool>();
|
|
impl->threadPool = impl->ownedThreadPool.get();
|
|
}
|
|
}
|
|
|
|
void MLIRContext::setThreadPool(llvm::ThreadPool &pool) {
|
|
assert(!isMultithreadingEnabled() &&
|
|
"expected multi-threading to be disabled when setting a ThreadPool");
|
|
impl->threadPool = &pool;
|
|
impl->ownedThreadPool.reset();
|
|
enableMultithreading();
|
|
}
|
|
|
|
unsigned MLIRContext::getNumThreads() {
|
|
if (isMultithreadingEnabled()) {
|
|
assert(impl->threadPool &&
|
|
"multi-threading is enabled but threadpool not set");
|
|
return impl->threadPool->getThreadCount();
|
|
}
|
|
// No multithreading or active thread pool. Return 1 thread.
|
|
return 1;
|
|
}
|
|
|
|
llvm::ThreadPool &MLIRContext::getThreadPool() {
|
|
assert(isMultithreadingEnabled() &&
|
|
"expected multi-threading to be enabled within the context");
|
|
assert(impl->threadPool &&
|
|
"multi-threading is enabled but threadpool not set");
|
|
return *impl->threadPool;
|
|
}
|
|
|
|
void MLIRContext::enterMultiThreadedExecution() {
|
|
#ifndef NDEBUG
|
|
++impl->multiThreadedExecutionContext;
|
|
#endif
|
|
}
|
|
void MLIRContext::exitMultiThreadedExecution() {
|
|
#ifndef NDEBUG
|
|
--impl->multiThreadedExecutionContext;
|
|
#endif
|
|
}
|
|
|
|
/// Return true if we should attach the operation to diagnostics emitted via
|
|
/// Operation::emit.
|
|
bool MLIRContext::shouldPrintOpOnDiagnostic() {
|
|
return impl->printOpOnDiagnostic;
|
|
}
|
|
|
|
/// Set the flag specifying if we should attach the operation to diagnostics
|
|
/// emitted via Operation::emit.
|
|
void MLIRContext::printOpOnDiagnostic(bool enable) {
|
|
assert(impl->multiThreadedExecutionContext == 0 &&
|
|
"changing MLIRContext `print-op-on-diagnostic` configuration while in "
|
|
"a multi-threaded execution context");
|
|
impl->printOpOnDiagnostic = enable;
|
|
}
|
|
|
|
/// Return true if we should attach the current stacktrace to diagnostics when
|
|
/// emitted.
|
|
bool MLIRContext::shouldPrintStackTraceOnDiagnostic() {
|
|
return impl->printStackTraceOnDiagnostic;
|
|
}
|
|
|
|
/// Set the flag specifying if we should attach the current stacktrace when
|
|
/// emitting diagnostics.
|
|
void MLIRContext::printStackTraceOnDiagnostic(bool enable) {
|
|
assert(impl->multiThreadedExecutionContext == 0 &&
|
|
"changing MLIRContext `print-stacktrace-on-diagnostic` configuration "
|
|
"while in a multi-threaded execution context");
|
|
impl->printStackTraceOnDiagnostic = enable;
|
|
}
|
|
|
|
/// Return information about all registered operations.
|
|
ArrayRef<RegisteredOperationName> MLIRContext::getRegisteredOperations() {
|
|
return impl->sortedRegisteredOperations;
|
|
}
|
|
|
|
bool MLIRContext::isOperationRegistered(StringRef name) {
|
|
return RegisteredOperationName::lookup(name, this).has_value();
|
|
}
|
|
|
|
void Dialect::addType(TypeID typeID, AbstractType &&typeInfo) {
|
|
auto &impl = context->getImpl();
|
|
assert(impl.multiThreadedExecutionContext == 0 &&
|
|
"Registering a new type kind while in a multi-threaded execution "
|
|
"context");
|
|
auto *newInfo =
|
|
new (impl.abstractDialectSymbolAllocator.Allocate<AbstractType>())
|
|
AbstractType(std::move(typeInfo));
|
|
if (!impl.registeredTypes.insert({typeID, newInfo}).second)
|
|
llvm::report_fatal_error("Dialect Type already registered.");
|
|
}
|
|
|
|
void Dialect::addAttribute(TypeID typeID, AbstractAttribute &&attrInfo) {
|
|
auto &impl = context->getImpl();
|
|
assert(impl.multiThreadedExecutionContext == 0 &&
|
|
"Registering a new attribute kind while in a multi-threaded execution "
|
|
"context");
|
|
auto *newInfo =
|
|
new (impl.abstractDialectSymbolAllocator.Allocate<AbstractAttribute>())
|
|
AbstractAttribute(std::move(attrInfo));
|
|
if (!impl.registeredAttributes.insert({typeID, newInfo}).second)
|
|
llvm::report_fatal_error("Dialect Attribute already registered.");
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// AbstractAttribute
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
/// Get the dialect that registered the attribute with the provided typeid.
|
|
const AbstractAttribute &AbstractAttribute::lookup(TypeID typeID,
|
|
MLIRContext *context) {
|
|
const AbstractAttribute *abstract = lookupMutable(typeID, context);
|
|
if (!abstract)
|
|
llvm::report_fatal_error("Trying to create an Attribute that was not "
|
|
"registered in this MLIRContext.");
|
|
return *abstract;
|
|
}
|
|
|
|
AbstractAttribute *AbstractAttribute::lookupMutable(TypeID typeID,
|
|
MLIRContext *context) {
|
|
auto &impl = context->getImpl();
|
|
auto it = impl.registeredAttributes.find(typeID);
|
|
if (it == impl.registeredAttributes.end())
|
|
return nullptr;
|
|
return it->second;
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// OperationName
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
OperationName::OperationName(StringRef name, MLIRContext *context) {
|
|
MLIRContextImpl &ctxImpl = context->getImpl();
|
|
|
|
// Check for an existing name in read-only mode.
|
|
bool isMultithreadingEnabled = context->isMultithreadingEnabled();
|
|
if (isMultithreadingEnabled) {
|
|
// Check the registered info map first. In the overwhelmingly common case,
|
|
// the entry will be in here and it also removes the need to acquire any
|
|
// locks.
|
|
auto registeredIt = ctxImpl.registeredOperations.find(name);
|
|
if (LLVM_LIKELY(registeredIt != ctxImpl.registeredOperations.end())) {
|
|
impl = registeredIt->second.impl;
|
|
return;
|
|
}
|
|
|
|
llvm::sys::SmartScopedReader<true> contextLock(ctxImpl.operationInfoMutex);
|
|
auto it = ctxImpl.operations.find(name);
|
|
if (it != ctxImpl.operations.end()) {
|
|
impl = &it->second;
|
|
return;
|
|
}
|
|
}
|
|
|
|
// Acquire a writer-lock so that we can safely create the new instance.
|
|
ScopedWriterLock lock(ctxImpl.operationInfoMutex, isMultithreadingEnabled);
|
|
|
|
auto it = ctxImpl.operations.insert({name, OperationName::Impl(nullptr)});
|
|
if (it.second)
|
|
it.first->second.name = StringAttr::get(context, name);
|
|
impl = &it.first->second;
|
|
}
|
|
|
|
StringRef OperationName::getDialectNamespace() const {
|
|
if (Dialect *dialect = getDialect())
|
|
return dialect->getNamespace();
|
|
return getStringRef().split('.').first;
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// RegisteredOperationName
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
Optional<RegisteredOperationName>
|
|
RegisteredOperationName::lookup(StringRef name, MLIRContext *ctx) {
|
|
auto &impl = ctx->getImpl();
|
|
auto it = impl.registeredOperations.find(name);
|
|
if (it != impl.registeredOperations.end())
|
|
return it->getValue();
|
|
return llvm::None;
|
|
}
|
|
|
|
ParseResult
|
|
RegisteredOperationName::parseAssembly(OpAsmParser &parser,
|
|
OperationState &result) const {
|
|
return impl->parseAssemblyFn(parser, result);
|
|
}
|
|
|
|
void RegisteredOperationName::populateDefaultAttrs(NamedAttrList &attrs) const {
|
|
impl->populateDefaultAttrsFn(*this, attrs);
|
|
}
|
|
|
|
void RegisteredOperationName::insert(
|
|
StringRef name, Dialect &dialect, TypeID typeID,
|
|
ParseAssemblyFn &&parseAssembly, PrintAssemblyFn &&printAssembly,
|
|
VerifyInvariantsFn &&verifyInvariants,
|
|
VerifyRegionInvariantsFn &&verifyRegionInvariants, FoldHookFn &&foldHook,
|
|
GetCanonicalizationPatternsFn &&getCanonicalizationPatterns,
|
|
detail::InterfaceMap &&interfaceMap, HasTraitFn &&hasTrait,
|
|
ArrayRef<StringRef> attrNames,
|
|
PopulateDefaultAttrsFn &&populateDefaultAttrs) {
|
|
MLIRContext *ctx = dialect.getContext();
|
|
auto &ctxImpl = ctx->getImpl();
|
|
assert(ctxImpl.multiThreadedExecutionContext == 0 &&
|
|
"registering a new operation kind while in a multi-threaded execution "
|
|
"context");
|
|
|
|
// Register the attribute names of this operation.
|
|
MutableArrayRef<StringAttr> cachedAttrNames;
|
|
if (!attrNames.empty()) {
|
|
cachedAttrNames = MutableArrayRef<StringAttr>(
|
|
ctxImpl.abstractDialectSymbolAllocator.Allocate<StringAttr>(
|
|
attrNames.size()),
|
|
attrNames.size());
|
|
for (unsigned i : llvm::seq<unsigned>(0, attrNames.size()))
|
|
new (&cachedAttrNames[i]) StringAttr(StringAttr::get(ctx, attrNames[i]));
|
|
}
|
|
|
|
// Insert the operation info if it doesn't exist yet.
|
|
auto it = ctxImpl.operations.insert({name, OperationName::Impl(nullptr)});
|
|
if (it.second)
|
|
it.first->second.name = StringAttr::get(ctx, name);
|
|
OperationName::Impl &impl = it.first->second;
|
|
|
|
if (impl.isRegistered()) {
|
|
llvm::errs() << "error: operation named '" << name
|
|
<< "' is already registered.\n";
|
|
abort();
|
|
}
|
|
auto emplaced = ctxImpl.registeredOperations.try_emplace(
|
|
name, RegisteredOperationName(&impl));
|
|
assert(emplaced.second && "operation name registration must be successful");
|
|
|
|
// Add emplaced operation name to the sorted operations container.
|
|
RegisteredOperationName &value = emplaced.first->getValue();
|
|
ctxImpl.sortedRegisteredOperations.insert(
|
|
llvm::upper_bound(ctxImpl.sortedRegisteredOperations, value,
|
|
[](auto &lhs, auto &rhs) {
|
|
return lhs.getIdentifier().compare(
|
|
rhs.getIdentifier());
|
|
}),
|
|
value);
|
|
|
|
// Update the registered info for this operation.
|
|
impl.dialect = &dialect;
|
|
impl.typeID = typeID;
|
|
impl.interfaceMap = std::move(interfaceMap);
|
|
impl.foldHookFn = std::move(foldHook);
|
|
impl.getCanonicalizationPatternsFn = std::move(getCanonicalizationPatterns);
|
|
impl.hasTraitFn = std::move(hasTrait);
|
|
impl.parseAssemblyFn = std::move(parseAssembly);
|
|
impl.printAssemblyFn = std::move(printAssembly);
|
|
impl.verifyInvariantsFn = std::move(verifyInvariants);
|
|
impl.verifyRegionInvariantsFn = std::move(verifyRegionInvariants);
|
|
impl.attributeNames = cachedAttrNames;
|
|
impl.populateDefaultAttrsFn = std::move(populateDefaultAttrs);
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// AbstractType
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
const AbstractType &AbstractType::lookup(TypeID typeID, MLIRContext *context) {
|
|
const AbstractType *type = lookupMutable(typeID, context);
|
|
if (!type)
|
|
llvm::report_fatal_error(
|
|
"Trying to create a Type that was not registered in this MLIRContext.");
|
|
return *type;
|
|
}
|
|
|
|
AbstractType *AbstractType::lookupMutable(TypeID typeID, MLIRContext *context) {
|
|
auto &impl = context->getImpl();
|
|
auto it = impl.registeredTypes.find(typeID);
|
|
if (it == impl.registeredTypes.end())
|
|
return nullptr;
|
|
return it->second;
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// Type uniquing
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
/// Returns the storage uniquer used for constructing type storage instances.
|
|
/// This should not be used directly.
|
|
StorageUniquer &MLIRContext::getTypeUniquer() { return getImpl().typeUniquer; }
|
|
|
|
Float8E5M2Type Float8E5M2Type::get(MLIRContext *context) {
|
|
return context->getImpl().f8E5M2Ty;
|
|
}
|
|
BFloat16Type BFloat16Type::get(MLIRContext *context) {
|
|
return context->getImpl().bf16Ty;
|
|
}
|
|
Float16Type Float16Type::get(MLIRContext *context) {
|
|
return context->getImpl().f16Ty;
|
|
}
|
|
Float32Type Float32Type::get(MLIRContext *context) {
|
|
return context->getImpl().f32Ty;
|
|
}
|
|
Float64Type Float64Type::get(MLIRContext *context) {
|
|
return context->getImpl().f64Ty;
|
|
}
|
|
Float80Type Float80Type::get(MLIRContext *context) {
|
|
return context->getImpl().f80Ty;
|
|
}
|
|
Float128Type Float128Type::get(MLIRContext *context) {
|
|
return context->getImpl().f128Ty;
|
|
}
|
|
|
|
/// Get an instance of the IndexType.
|
|
IndexType IndexType::get(MLIRContext *context) {
|
|
return context->getImpl().indexTy;
|
|
}
|
|
|
|
/// Return an existing integer type instance if one is cached within the
|
|
/// context.
|
|
static IntegerType
|
|
getCachedIntegerType(unsigned width,
|
|
IntegerType::SignednessSemantics signedness,
|
|
MLIRContext *context) {
|
|
if (signedness != IntegerType::Signless)
|
|
return IntegerType();
|
|
|
|
switch (width) {
|
|
case 1:
|
|
return context->getImpl().int1Ty;
|
|
case 8:
|
|
return context->getImpl().int8Ty;
|
|
case 16:
|
|
return context->getImpl().int16Ty;
|
|
case 32:
|
|
return context->getImpl().int32Ty;
|
|
case 64:
|
|
return context->getImpl().int64Ty;
|
|
case 128:
|
|
return context->getImpl().int128Ty;
|
|
default:
|
|
return IntegerType();
|
|
}
|
|
}
|
|
|
|
IntegerType IntegerType::get(MLIRContext *context, unsigned width,
|
|
IntegerType::SignednessSemantics signedness) {
|
|
if (auto cached = getCachedIntegerType(width, signedness, context))
|
|
return cached;
|
|
return Base::get(context, width, signedness);
|
|
}
|
|
|
|
IntegerType
|
|
IntegerType::getChecked(function_ref<InFlightDiagnostic()> emitError,
|
|
MLIRContext *context, unsigned width,
|
|
SignednessSemantics signedness) {
|
|
if (auto cached = getCachedIntegerType(width, signedness, context))
|
|
return cached;
|
|
return Base::getChecked(emitError, context, width, signedness);
|
|
}
|
|
|
|
/// Get an instance of the NoneType.
|
|
NoneType NoneType::get(MLIRContext *context) {
|
|
if (NoneType cachedInst = context->getImpl().noneType)
|
|
return cachedInst;
|
|
// Note: May happen when initializing the singleton attributes of the builtin
|
|
// dialect.
|
|
return Base::get(context);
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// Attribute uniquing
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
/// Returns the storage uniquer used for constructing attribute storage
|
|
/// instances. This should not be used directly.
|
|
StorageUniquer &MLIRContext::getAttributeUniquer() {
|
|
return getImpl().attributeUniquer;
|
|
}
|
|
|
|
/// Initialize the given attribute storage instance.
|
|
void AttributeUniquer::initializeAttributeStorage(AttributeStorage *storage,
|
|
MLIRContext *ctx,
|
|
TypeID attrID) {
|
|
storage->initializeAbstractAttribute(AbstractAttribute::lookup(attrID, ctx));
|
|
}
|
|
|
|
BoolAttr BoolAttr::get(MLIRContext *context, bool value) {
|
|
return value ? context->getImpl().trueAttr : context->getImpl().falseAttr;
|
|
}
|
|
|
|
UnitAttr UnitAttr::get(MLIRContext *context) {
|
|
return context->getImpl().unitAttr;
|
|
}
|
|
|
|
UnknownLoc UnknownLoc::get(MLIRContext *context) {
|
|
return context->getImpl().unknownLocAttr;
|
|
}
|
|
|
|
/// Return empty dictionary.
|
|
DictionaryAttr DictionaryAttr::getEmpty(MLIRContext *context) {
|
|
return context->getImpl().emptyDictionaryAttr;
|
|
}
|
|
|
|
void StringAttrStorage::initialize(MLIRContext *context) {
|
|
// Check for a dialect namespace prefix, if there isn't one we don't need to
|
|
// do any additional initialization.
|
|
auto dialectNamePair = value.split('.');
|
|
if (dialectNamePair.first.empty() || dialectNamePair.second.empty())
|
|
return;
|
|
|
|
// If one exists, we check to see if this dialect is loaded. If it is, we set
|
|
// the dialect now, if it isn't we record this storage for initialization
|
|
// later if the dialect ever gets loaded.
|
|
if ((referencedDialect = context->getLoadedDialect(dialectNamePair.first)))
|
|
return;
|
|
|
|
MLIRContextImpl &impl = context->getImpl();
|
|
llvm::sys::SmartScopedLock<true> lock(impl.dialectRefStrAttrMutex);
|
|
impl.dialectReferencingStrAttrs[dialectNamePair.first].push_back(this);
|
|
}
|
|
|
|
/// Return an empty string.
|
|
StringAttr StringAttr::get(MLIRContext *context) {
|
|
return context->getImpl().emptyStringAttr;
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// AffineMap uniquing
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
StorageUniquer &MLIRContext::getAffineUniquer() {
|
|
return getImpl().affineUniquer;
|
|
}
|
|
|
|
AffineMap AffineMap::getImpl(unsigned dimCount, unsigned symbolCount,
|
|
ArrayRef<AffineExpr> results,
|
|
MLIRContext *context) {
|
|
auto &impl = context->getImpl();
|
|
auto *storage = impl.affineUniquer.get<AffineMapStorage>(
|
|
[&](AffineMapStorage *storage) { storage->context = context; }, dimCount,
|
|
symbolCount, results);
|
|
return AffineMap(storage);
|
|
}
|
|
|
|
/// Check whether the arguments passed to the AffineMap::get() are consistent.
|
|
/// This method checks whether the highest index of dimensional identifier
|
|
/// present in result expressions is less than `dimCount` and the highest index
|
|
/// of symbolic identifier present in result expressions is less than
|
|
/// `symbolCount`.
|
|
LLVM_ATTRIBUTE_UNUSED static bool
|
|
willBeValidAffineMap(unsigned dimCount, unsigned symbolCount,
|
|
ArrayRef<AffineExpr> results) {
|
|
int64_t maxDimPosition = -1;
|
|
int64_t maxSymbolPosition = -1;
|
|
getMaxDimAndSymbol(ArrayRef<ArrayRef<AffineExpr>>(results), maxDimPosition,
|
|
maxSymbolPosition);
|
|
if ((maxDimPosition >= dimCount) || (maxSymbolPosition >= symbolCount)) {
|
|
LLVM_DEBUG(
|
|
llvm::dbgs()
|
|
<< "maximum dimensional identifier position in result expression must "
|
|
"be less than `dimCount` and maximum symbolic identifier position "
|
|
"in result expression must be less than `symbolCount`\n");
|
|
return false;
|
|
}
|
|
return true;
|
|
}
|
|
|
|
AffineMap AffineMap::get(MLIRContext *context) {
|
|
return getImpl(/*dimCount=*/0, /*symbolCount=*/0, /*results=*/{}, context);
|
|
}
|
|
|
|
AffineMap AffineMap::get(unsigned dimCount, unsigned symbolCount,
|
|
MLIRContext *context) {
|
|
return getImpl(dimCount, symbolCount, /*results=*/{}, context);
|
|
}
|
|
|
|
AffineMap AffineMap::get(unsigned dimCount, unsigned symbolCount,
|
|
AffineExpr result) {
|
|
assert(willBeValidAffineMap(dimCount, symbolCount, {result}));
|
|
return getImpl(dimCount, symbolCount, {result}, result.getContext());
|
|
}
|
|
|
|
AffineMap AffineMap::get(unsigned dimCount, unsigned symbolCount,
|
|
ArrayRef<AffineExpr> results, MLIRContext *context) {
|
|
assert(willBeValidAffineMap(dimCount, symbolCount, results));
|
|
return getImpl(dimCount, symbolCount, results, context);
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// Integer Sets: these are allocated into the bump pointer, and are immutable.
|
|
// Unlike AffineMap's, these are uniqued only if they are small.
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
IntegerSet IntegerSet::get(unsigned dimCount, unsigned symbolCount,
|
|
ArrayRef<AffineExpr> constraints,
|
|
ArrayRef<bool> eqFlags) {
|
|
// The number of constraints can't be zero.
|
|
assert(!constraints.empty());
|
|
assert(constraints.size() == eqFlags.size());
|
|
|
|
auto &impl = constraints[0].getContext()->getImpl();
|
|
auto *storage = impl.affineUniquer.get<IntegerSetStorage>(
|
|
[](IntegerSetStorage *) {}, dimCount, symbolCount, constraints, eqFlags);
|
|
return IntegerSet(storage);
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// StorageUniquerSupport
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
/// Utility method to generate a callback that can be used to generate a
|
|
/// diagnostic when checking the construction invariants of a storage object.
|
|
/// This is defined out-of-line to avoid the need to include Location.h.
|
|
llvm::unique_function<InFlightDiagnostic()>
|
|
mlir::detail::getDefaultDiagnosticEmitFn(MLIRContext *ctx) {
|
|
return [ctx] { return emitError(UnknownLoc::get(ctx)); };
|
|
}
|
|
llvm::unique_function<InFlightDiagnostic()>
|
|
mlir::detail::getDefaultDiagnosticEmitFn(const Location &loc) {
|
|
return [=] { return emitError(loc); };
|
|
}
|