Dialect.cpp | Explore in Territory

//===- Dialect.cpp - Toy IR Dialect registration in MLIR ------------------===//
//
// 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
//
//===----------------------------------------------------------------------===//
//
// This file implements the dialect for the Toy IR: custom type parsing and
// operation verification.
//
//===----------------------------------------------------------------------===//

#include "toy/Dialect.h"

#include "mlir/IR/Attributes.h"
#include "mlir/IR/Builders.h"
#include "mlir/IR/BuiltinTypes.h"
#include "mlir/IR/Location.h"
#include "mlir/IR/OpImplementation.h"
#include "mlir/IR/OperationSupport.h"
#include "mlir/IR/ValueRange.h"
#include "mlir/Interfaces/CallInterfaces.h"
#include "mlir/Interfaces/FunctionImplementation.h"
#include "mlir/Support/LLVM.h"
#include "mlir/Transforms/InliningUtils.h"
#include "llvm/ADT/ArrayRef.h"
#include "llvm/ADT/STLExtras.h"
#include "llvm/ADT/StringRef.h"
#include "llvm/Support/Casting.h"
#include <algorithm>
#include <cassert>
#include <cstdint>
#include <string>

usingnamespacemlir;
usingnamespacemlir::toy;

#include "toy/Dialect.cpp.inc"

//===----------------------------------------------------------------------===//
// ToyInlinerInterface
//===----------------------------------------------------------------------===//

/// This class defines the interface for handling inlining with Toy
/// operations.
struct ToyInlinerInterface : public DialectInlinerInterface { … };

//===----------------------------------------------------------------------===//
// ToyDialect
//===----------------------------------------------------------------------===//

/// Dialect initialization, the instance will be owned by the context. This is
/// the point of registration of types and operations for the dialect.
void ToyDialect::initialize() { … }

//===----------------------------------------------------------------------===//
// Toy Operations
//===----------------------------------------------------------------------===//

/// A generalized parser for binary operations. This parses the different forms
/// of 'printBinaryOp' below.
static mlir::ParseResult parseBinaryOp(mlir::OpAsmParser &parser,
                                       mlir::OperationState &result) { … }

/// A generalized printer for binary operations. It prints in two different
/// forms depending on if all of the types match.
static void printBinaryOp(mlir::OpAsmPrinter &printer, mlir::Operation *op) { … }

//===----------------------------------------------------------------------===//
// ConstantOp
//===----------------------------------------------------------------------===//

/// Build a constant operation.
/// The builder is passed as an argument, so is the state that this method is
/// expected to fill in order to build the operation.
void ConstantOp::build(mlir::OpBuilder &builder, mlir::OperationState &state,
                       double value) { … }

/// The 'OpAsmParser' class provides a collection of methods for parsing
/// various punctuation, as well as attributes, operands, types, etc. Each of
/// these methods returns a `ParseResult`. This class is a wrapper around
/// `LogicalResult` that can be converted to a boolean `true` value on failure,
/// or `false` on success. This allows for easily chaining together a set of
/// parser rules. These rules are used to populate an `mlir::OperationState`
/// similarly to the `build` methods described above.
mlir::ParseResult ConstantOp::parse(mlir::OpAsmParser &parser,
                                    mlir::OperationState &result) { … }

/// The 'OpAsmPrinter' class is a stream that allows for formatting
/// strings, attributes, operands, types, etc.
void ConstantOp::print(mlir::OpAsmPrinter &printer) { … }

/// Verifier for the constant operation. This corresponds to the
/// `let hasVerifier = 1` in the op definition.
llvm::LogicalResult ConstantOp::verify() { … }

//===----------------------------------------------------------------------===//
// AddOp
//===----------------------------------------------------------------------===//

void AddOp::build(mlir::OpBuilder &builder, mlir::OperationState &state,
                  mlir::Value lhs, mlir::Value rhs) { … }

mlir::ParseResult AddOp::parse(mlir::OpAsmParser &parser,
                               mlir::OperationState &result) { … }

void AddOp::print(mlir::OpAsmPrinter &p) { … }

/// Infer the output shape of the AddOp, this is required by the shape inference
/// interface.
void AddOp::inferShapes() { … }

//===----------------------------------------------------------------------===//
// CastOp
//===----------------------------------------------------------------------===//

/// Infer the output shape of the CastOp, this is required by the shape
/// inference interface.
void CastOp::inferShapes() { … }

/// Returns true if the given set of input and result types are compatible with
/// this cast operation. This is required by the `CastOpInterface` to verify
/// this operation and provide other additional utilities.
bool CastOp::areCastCompatible(TypeRange inputs, TypeRange outputs) { … }

//===----------------------------------------------------------------------===//
// FuncOp
//===----------------------------------------------------------------------===//

void FuncOp::build(mlir::OpBuilder &builder, mlir::OperationState &state,
                   llvm::StringRef name, mlir::FunctionType type,
                   llvm::ArrayRef<mlir::NamedAttribute> attrs) { … }

mlir::ParseResult FuncOp::parse(mlir::OpAsmParser &parser,
                                mlir::OperationState &result) { … }

void FuncOp::print(mlir::OpAsmPrinter &p) { … }

//===----------------------------------------------------------------------===//
// GenericCallOp
//===----------------------------------------------------------------------===//

void GenericCallOp::build(mlir::OpBuilder &builder, mlir::OperationState &state,
                          StringRef callee, ArrayRef<mlir::Value> arguments) { … }

/// Return the callee of the generic call operation, this is required by the
/// call interface.
CallInterfaceCallable GenericCallOp::getCallableForCallee() { … }

/// Set the callee for the generic call operation, this is required by the call
/// interface.
void GenericCallOp::setCalleeFromCallable(CallInterfaceCallable callee) { … }

/// Get the argument operands to the called function, this is required by the
/// call interface.
Operation::operand_range GenericCallOp::getArgOperands() { … }

/// Get the argument operands to the called function as a mutable range, this is
/// required by the call interface.
MutableOperandRange GenericCallOp::getArgOperandsMutable() { … }

//===----------------------------------------------------------------------===//
// MulOp
//===----------------------------------------------------------------------===//

void MulOp::build(mlir::OpBuilder &builder, mlir::OperationState &state,
                  mlir::Value lhs, mlir::Value rhs) { … }

mlir::ParseResult MulOp::parse(mlir::OpAsmParser &parser,
                               mlir::OperationState &result) { … }

void MulOp::print(mlir::OpAsmPrinter &p) { … }

/// Infer the output shape of the MulOp, this is required by the shape inference
/// interface.
void MulOp::inferShapes() { … }

//===----------------------------------------------------------------------===//
// ReturnOp
//===----------------------------------------------------------------------===//

llvm::LogicalResult ReturnOp::verify() { … }

//===----------------------------------------------------------------------===//
// TransposeOp
//===----------------------------------------------------------------------===//

void TransposeOp::build(mlir::OpBuilder &builder, mlir::OperationState &state,
                        mlir::Value value) { … }

void TransposeOp::inferShapes() { … }

llvm::LogicalResult TransposeOp::verify() { … }

//===----------------------------------------------------------------------===//
// TableGen'd op method definitions
//===----------------------------------------------------------------------===//

#define GET_OP_CLASSES
#include "toy/Ops.cpp.inc"
llvm/mlir/examples/toy/Ch6/mlir/Dialect.cpp
