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llvm-project/mlir/lib/EDSC/MLIREmitter.cpp

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//===- MLIREmitter.cpp - MLIR EDSC Emitter Class Implementation -*- C++ -*-===//
//
// Copyright 2019 The MLIR Authors.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// =============================================================================
#include "llvm/ADT/STLExtras.h"
#include "llvm/Support/Casting.h"
#include "llvm/Support/Debug.h"
#include "llvm/Support/raw_ostream.h"
#include "mlir-c/Core.h"
#include "mlir/AffineOps/AffineOps.h"
#include "mlir/Analysis/AffineAnalysis.h"
#include "mlir/EDSC/MLIREmitter.h"
#include "mlir/EDSC/Types.h"
#include "mlir/IR/Builders.h"
#include "mlir/IR/BuiltinOps.h"
#include "mlir/IR/Instruction.h"
#include "mlir/IR/IntegerSet.h"
#include "mlir/IR/Location.h"
#include "mlir/IR/Value.h"
#include "mlir/StandardOps/StandardOps.h"
#include "mlir/SuperVectorOps/SuperVectorOps.h"
#include "mlir/Support/Functional.h"
#include "mlir/Support/STLExtras.h"
using llvm::dbgs;
using llvm::errs;
#define DEBUG_TYPE "edsc"
using namespace mlir;
using namespace mlir::edsc;
using namespace mlir::edsc::detail;
// Factors out the boilerplate that is needed to build and answer the
// following simple question:
// Given a set of Value* `values`, how do I get the resulting op(`values`)
//
// This is a very loaded question and generally cannot be answered properly.
// For instance, an LLVM operation has many attributes that may not fit within
// this simplistic framing (e.g. overflow behavior etc).
//
// Still, MLIR is a higher-level IR and the Halide experience shows it is
// possible to build useful EDSCs with the right amount of sugar.
//
// To build EDSCs we need to be able to conveniently support simple operations
// such as `add` on the type system. This captures the possible behaviors. In
// the future, this should be automatically constructed from an abstraction
// that is common to the IR verifier, but for now we need to get off the ground
// manually.
//
// This is expected to be a "dialect-specific" functionality: certain dialects
// will not have a simple definition. Two such cases that come to mind are:
// 1. what does it mean to have an operator* on an opaque tensor dialect
// (dot, vector, hadamard, kronecker ?)-product;
// 2. LLVM add with attributes like overflow.
// This is all left for future consideration; in the meantime let's separate
// concerns and implement useful infrastructure without solving all problems at
// once.
/// Returns the element type if the type is VectorType or MemRefType; returns
/// getType if the type is scalar.
static Type getElementType(const Value &v) {
if (auto vec = v.getType().dyn_cast<mlir::VectorType>()) {
return vec.getElementType();
}
if (auto mem = v.getType().dyn_cast<mlir::MemRefType>()) {
return mem.getElementType();
}
return v.getType();
}
static bool isIndexElement(const Value &v) {
return getElementType(v).isIndex();
}
static bool isIntElement(const Value &v) {
return getElementType(v).isa<IntegerType>();
}
static bool isFloatElement(const Value &v) {
return getElementType(v).isa<FloatType>();
}
static Value *add(FuncBuilder *builder, Location location, Value *a, Value *b) {
if (isIndexElement(*a)) {
auto *context = builder->getContext();
auto d0 = getAffineDimExpr(0, context);
auto d1 = getAffineDimExpr(1, context);
auto map = AffineMap::get(2, 0, {d0 + d1}, {});
return makeComposedAffineApply(builder, location, map, {a, b});
} else if (isIntElement(*a)) {
return builder->create<AddIOp>(location, a, b)->getResult();
}
assert(isFloatElement(*a) && "Expected float element");
return builder->create<AddFOp>(location, a, b)->getResult();
}
static Value *sub(FuncBuilder *builder, Location location, Value *a, Value *b) {
if (isIndexElement(*a)) {
auto *context = builder->getContext();
auto d0 = getAffineDimExpr(0, context);
auto d1 = getAffineDimExpr(1, context);
auto map = AffineMap::get(2, 0, {d0 - d1}, {});
return makeComposedAffineApply(builder, location, map, {a, b});
} else if (isIntElement(*a)) {
return builder->create<SubIOp>(location, a, b)->getResult();
}
assert(isFloatElement(*a) && "Expected float element");
return builder->create<SubFOp>(location, a, b)->getResult();
}
static Value *mul(FuncBuilder *builder, Location location, Value *a, Value *b) {
if (!isFloatElement(*a)) {
return builder->create<MulIOp>(location, a, b)->getResult();
}
assert(isFloatElement(*a) && "Expected float element");
return builder->create<MulFOp>(location, a, b)->getResult();
}
static void printDefininingStatement(llvm::raw_ostream &os, const Value &v) {
const auto *inst = v.getDefiningInst();
if (inst) {
inst->print(os);
return;
}
if (auto forInst = getForInductionVarOwner(&v)) {
forInst->getInstruction()->print(os);
} else {
os << "unknown_ssa_value";
}
}
mlir::edsc::MLIREmitter::MLIREmitter(FuncBuilder *builder, Location location)
: builder(builder), location(location) {
// Build the ubiquitous zero and one at the top of the function.
bindConstant<ConstantIndexOp>(Bindable(zeroIndex), 0);
bindConstant<ConstantIndexOp>(Bindable(oneIndex), 1);
}
MLIREmitter &mlir::edsc::MLIREmitter::bind(Bindable e, Value *v) {
LLVM_DEBUG(printDefininingStatement(llvm::dbgs() << "\nBinding " << e << " @"
<< e.getStoragePtr() << ": ",
*v));
auto it = ssaBindings.insert(std::make_pair(e, v));
if (!it.second) {
printDefininingStatement(
llvm::errs() << "\nRebinding " << e << " @" << e.getStoragePtr(), *v);
llvm_unreachable("Double binding!");
}
return *this;
}
Value *mlir::edsc::MLIREmitter::emitExpr(Expr e) {
auto it = ssaBindings.find(e);
if (it != ssaBindings.end()) {
return it->second;
}
// Skip bindables, they must have been found already.
Value *res = nullptr;
if (auto un = e.dyn_cast<UnaryExpr>()) {
if (un.getKind() == ExprKind::Dealloc) {
builder->create<DeallocOp>(location, emitExpr(un.getExpr()));
return nullptr;
} else if (un.getKind() == ExprKind::Negate) {
auto ctrue = builder->create<mlir::ConstantIntOp>(location, 1,
builder->getI1Type());
// TODO(dvytin): worth binding constant in ssaBindings in the future?
// TODO(dvytin): no need to cast getExpr() to I1?
auto val = emitExpr(un.getExpr());
assert(val->getType().isInteger(1) &&
"Logical Negate expects i1 operand");
return sub(builder, location, ctrue, val);
}
} else if (auto bin = e.dyn_cast<BinaryExpr>()) {
auto lhs = bin.getLHS();
auto rhs = bin.getRHS();
auto *a = emitExpr(lhs);
auto *b = emitExpr(rhs);
if (!a || !b) {
return nullptr;
}
if (bin.getKind() == ExprKind::Add) {
res = add(builder, location, a, b);
} else if (bin.getKind() == ExprKind::Sub) {
res = sub(builder, location, a, b);
} else if (bin.getKind() == ExprKind::Mul) {
res = mul(builder, location, a, b);
} else if (bin.getKind() == ExprKind::And) {
// Operands should both be i1
assert(a->getType().isInteger(1) && "Logical And expects i1 LHS");
assert(b->getType().isInteger(1) && "Logical And expects i1 RHS");
res = mul(builder, location, a, b);
} else if (bin.getKind() == ExprKind::Or) {
assert(a->getType().isInteger(1) && "Logical Or expects i1 LHS");
assert(b->getType().isInteger(1) && "Logical Or expects i1 RHS");
// a || b = not (not a && not b)
res = emitExpr(!(!lhs && !rhs));
} // TODO(ntv): signed vs unsiged ??
// TODO(ntv): integer vs not ??
// TODO(ntv): float cmp
else if (bin.getKind() == ExprKind::EQ) {
res = builder->create<CmpIOp>(location, mlir::CmpIPredicate::EQ, a, b);
} else if (bin.getKind() == ExprKind::NE) {
res = builder->create<CmpIOp>(location, mlir::CmpIPredicate::NE, a, b);
} else if (bin.getKind() == ExprKind::LT) {
res = builder->create<CmpIOp>(location, mlir::CmpIPredicate::SLT, a, b);
} else if (bin.getKind() == ExprKind::LE) {
res = builder->create<CmpIOp>(location, mlir::CmpIPredicate::SLE, a, b);
} else if (bin.getKind() == ExprKind::GT) {
res = builder->create<CmpIOp>(location, mlir::CmpIPredicate::SGT, a, b);
} else if (bin.getKind() == ExprKind::GE) {
res = builder->create<CmpIOp>(location, mlir::CmpIPredicate::SGE, a, b);
}
// TODO(ntv): do we want this?
// if (res && ((a->type().is_uint() && !b->type().is_uint()) ||
// (!a->type().is_uint() && b->type().is_uint()))) {
// std::stringstream ss;
// ss << "a: " << *a << "\t b: " << *b;
// res->getDefiningOperation()->emitWarning(
// "Mixing signed and unsigned integers: " + ss.str());
// }
// }
}
if (auto ter = e.dyn_cast<TernaryExpr>()) {
if (ter.getKind() == ExprKind::Select) {
auto *cond = emitExpr(ter.getCond());
auto *lhs = emitExpr(ter.getLHS());
auto *rhs = emitExpr(ter.getRHS());
if (!cond || !rhs || !lhs) {
return nullptr;
}
res = builder->create<SelectOp>(location, cond, lhs, rhs)->getResult();
}
}
if (auto nar = e.dyn_cast<VariadicExpr>()) {
if (nar.getKind() == ExprKind::Alloc) {
auto exprs = emitExprs(nar.getExprs());
if (llvm::any_of(exprs, [](Value *v) { return !v; })) {
return nullptr;
}
auto types = nar.getTypes();
assert(types.size() == 1 && "Expected 1 type");
res =
builder->create<AllocOp>(location, types[0].cast<MemRefType>(), exprs)
->getResult();
} else if (nar.getKind() == ExprKind::Load) {
auto exprs = emitExprs(nar.getExprs());
if (llvm::any_of(exprs, [](Value *v) { return !v; })) {
return nullptr;
}
assert(!exprs.empty() && "Load requires >= 1 exprs");
assert(nar.getTypes().empty() && "Load expects no type");
SmallVector<Value *, 8> vals(exprs.begin() + 1, exprs.end());
res = builder->create<LoadOp>(location, exprs[0], vals)->getResult();
} else if (nar.getKind() == ExprKind::Store) {
auto exprs = emitExprs(nar.getExprs());
if (llvm::any_of(exprs, [](Value *v) { return !v; })) {
return nullptr;
}
assert(exprs.size() >= 2 && "Store requires >= 2 exprs");
assert(nar.getTypes().empty() && "Store expects no type");
SmallVector<Value *, 8> vals(exprs.begin() + 2, exprs.end());
builder->create<StoreOp>(location, exprs[0], exprs[1], vals);
return nullptr;
} else if (nar.getKind() == ExprKind::VectorTypeCast) {
auto exprs = emitExprs(nar.getExprs());
if (llvm::any_of(exprs, [](Value *v) { return !v; })) {
return nullptr;
}
assert(exprs.size() == 1 && "Expected 1 expr");
auto types = nar.getTypes();
assert(types.size() == 1 && "Expected 1 type");
res = builder
->create<VectorTypeCastOp>(location, exprs[0],
types[0].cast<MemRefType>())
->getResult();
} else if (nar.getKind() == ExprKind::Return) {
auto exprs = emitExprs(nar.getExprs());
builder->create<ReturnOp>(location, exprs);
return nullptr; // no Value* produced and this is fine.
}
}
if (auto expr = e.dyn_cast<StmtBlockLikeExpr>()) {
if (expr.getKind() == ExprKind::For) {
auto exprs = emitExprs(expr.getExprs());
if (llvm::any_of(exprs, [](Value *v) { return !v; })) {
return nullptr;
}
assert(exprs.size() == 3 && "Expected 3 exprs");
auto lb =
exprs[0]->getDefiningInst()->cast<ConstantIndexOp>()->getValue();
auto ub =
exprs[1]->getDefiningInst()->cast<ConstantIndexOp>()->getValue();
auto step =
exprs[2]->getDefiningInst()->cast<ConstantIndexOp>()->getValue();
auto forOp = builder->create<AffineForOp>(location, lb, ub, step);
forOp->createBody();
res = forOp->getInductionVar();
}
}
if (!res) {
// If we hit here it must mean that the Bindables have not all been bound
// properly. Because EDSCs are currently dynamically typed, it becomes a
// runtime error.
e.print(llvm::errs() << "\nError @" << e.getStoragePtr() << ": ");
auto it = ssaBindings.find(e);
if (it != ssaBindings.end()) {
it->second->print(llvm::errs() << "\nError on value: ");
} else {
llvm::errs() << "\nUnbound";
}
return nullptr;
}
auto resIter = ssaBindings.insert(std::make_pair(e, res));
(void)resIter;
assert(resIter.second && "insertion failed");
return res;
}
SmallVector<Value *, 8>
mlir::edsc::MLIREmitter::emitExprs(ArrayRef<Expr> exprs) {
SmallVector<Value *, 8> res;
res.reserve(exprs.size());
for (auto e : exprs) {
res.push_back(this->emitExpr(e));
LLVM_DEBUG(
printDefininingStatement(llvm::dbgs() << "\nEmitted: ", *res.back()));
}
return res;
}
void mlir::edsc::MLIREmitter::emitStmt(const Stmt &stmt) {
auto *block = builder->getBlock();
auto ip = builder->getInsertionPoint();
// Blocks are just a containing abstraction, they do not emit their RHS.
if (stmt.getRHS().getKind() != ExprKind::StmtList) {
auto *val = emitExpr(stmt.getRHS());
if (!val) {
assert((stmt.getRHS().getKind() == ExprKind::Dealloc ||
stmt.getRHS().getKind() == ExprKind::Store ||
stmt.getRHS().getKind() == ExprKind::Return) &&
"dealloc, store or return expected as the only 0-result ops");
return;
}
// Force create a bindable from stmt.lhs and bind it.
bind(Bindable(stmt.getLHS()), val);
if (stmt.getRHS().getKind() == ExprKind::For) {
// Step into the loop.
builder->setInsertionPointToStart(
getForInductionVarOwner(val)->getBody());
}
}
emitStmts(stmt.getEnclosedStmts());
builder->setInsertionPoint(block, ip);
}
void mlir::edsc::MLIREmitter::emitStmts(ArrayRef<Stmt> stmts) {
for (auto &stmt : stmts) {
emitStmt(stmt);
}
}
static bool isDynamicSize(int size) { return size < 0; }
/// This function emits the proper Value* at the place of insertion of b,
/// where each value is the proper ConstantOp or DimOp. Returns a vector with
/// these Value*. Note this function does not concern itself with hoisting of
/// constants and will produce redundant IR. Subsequent MLIR simplification
/// passes like LICM and CSE are expected to clean this up.
///
/// More specifically, a MemRefType has a shape vector in which:
/// - constant ranks are embedded explicitly with their value;
/// - symbolic ranks are represented implicitly by -1 and need to be recovered
/// with a DimOp operation.
///
/// Example:
/// When called on:
///
/// ```mlir
/// memref<?x3x4x?x5xf32>
/// ```
///
/// This emits MLIR similar to:
///
/// ```mlir
/// %d0 = dim %0, 0 : memref<?x3x4x?x5xf32>
/// %c3 = constant 3 : index
/// %c4 = constant 4 : index
/// %d3 = dim %0, 3 : memref<?x3x4x?x5xf32>
/// %c5 = constant 5 : index
/// ```
///
/// and returns the vector with {%d0, %c3, %c4, %d3, %c5}.
static SmallVector<Value *, 8> getMemRefSizes(FuncBuilder *b, Location loc,
Value *memRef) {
assert(memRef->getType().isa<MemRefType>() && "Expected a MemRef value");
MemRefType memRefType = memRef->getType().cast<MemRefType>();
SmallVector<Value *, 8> res;
res.reserve(memRefType.getShape().size());
const auto &shape = memRefType.getShape();
for (unsigned idx = 0, n = shape.size(); idx < n; ++idx) {
if (isDynamicSize(shape[idx])) {
res.push_back(b->create<DimOp>(loc, memRef, idx));
} else {
res.push_back(b->create<ConstantIndexOp>(loc, shape[idx]));
}
}
return res;
}
SmallVector<edsc::Expr, 8>
mlir::edsc::MLIREmitter::makeBoundFunctionArguments(mlir::Function *function) {
SmallVector<edsc::Expr, 8> res;
for (unsigned pos = 0, npos = function->getNumArguments(); pos < npos;
++pos) {
auto *arg = function->getArgument(pos);
Expr b;
bind(Bindable(b), arg);
res.push_back(Expr(b));
}
return res;
}
SmallVector<edsc::Expr, 8>
mlir::edsc::MLIREmitter::makeBoundMemRefShape(Value *memRef) {
assert(memRef->getType().isa<MemRefType>() && "Expected a MemRef value");
MemRefType memRefType = memRef->getType().cast<MemRefType>();
auto memRefSizes = edsc::makeNewExprs(memRefType.getShape().size());
auto memrefSizeValues = getMemRefSizes(getBuilder(), getLocation(), memRef);
assert(memrefSizeValues.size() == memRefSizes.size());
bindZipRange(llvm::zip(memRefSizes, memrefSizeValues));
SmallVector<edsc::Expr, 8> res(memRefSizes.begin(), memRefSizes.end());
return res;
}
mlir::edsc::MLIREmitter::BoundMemRefView
mlir::edsc::MLIREmitter::makeBoundMemRefView(Value *memRef) {
auto memRefType = memRef->getType().cast<mlir::MemRefType>();
auto rank = memRefType.getRank();
SmallVector<edsc::Expr, 8> lbs;
lbs.reserve(rank);
Expr zero;
bindConstant<mlir::ConstantIndexOp>(Bindable(zero), 0);
for (unsigned i = 0; i < rank; ++i) {
lbs.push_back(zero);
}
auto ubs = makeBoundMemRefShape(memRef);
SmallVector<edsc::Expr, 8> steps;
lbs.reserve(rank);
Expr one;
bindConstant<mlir::ConstantIndexOp>(Bindable(one), 1);
for (unsigned i = 0; i < rank; ++i) {
steps.push_back(one);
}
return BoundMemRefView{lbs, ubs, steps};
}
mlir::edsc::MLIREmitter::BoundMemRefView
mlir::edsc::MLIREmitter::makeBoundMemRefView(Expr boundMemRef) {
auto *v = getValue(mlir::edsc::Expr(boundMemRef));
assert(v && "Expected a bound Expr");
return makeBoundMemRefView(v);
}
edsc_expr_t bindConstantBF16(edsc_mlir_emitter_t emitter, double value) {
auto *e = reinterpret_cast<mlir::edsc::MLIREmitter *>(emitter);
Expr b;
e->bindConstant<mlir::ConstantFloatOp>(Bindable(b), mlir::APFloat(value),
e->getBuilder()->getBF16Type());
return b;
}
edsc_expr_t bindConstantF16(edsc_mlir_emitter_t emitter, float value) {
auto *e = reinterpret_cast<mlir::edsc::MLIREmitter *>(emitter);
Expr b;
bool unused;
mlir::APFloat val(value);
val.convert(e->getBuilder()->getF16Type().getFloatSemantics(),
mlir::APFloat::rmNearestTiesToEven, &unused);
e->bindConstant<mlir::ConstantFloatOp>(Bindable(b), val,
e->getBuilder()->getF16Type());
return b;
}
edsc_expr_t bindConstantF32(edsc_mlir_emitter_t emitter, float value) {
auto *e = reinterpret_cast<mlir::edsc::MLIREmitter *>(emitter);
Expr b;
e->bindConstant<mlir::ConstantFloatOp>(Bindable(b), mlir::APFloat(value),
e->getBuilder()->getF32Type());
return b;
}
edsc_expr_t bindConstantF64(edsc_mlir_emitter_t emitter, double value) {
auto *e = reinterpret_cast<mlir::edsc::MLIREmitter *>(emitter);
Expr b;
e->bindConstant<mlir::ConstantFloatOp>(Bindable(b), mlir::APFloat(value),
e->getBuilder()->getF64Type());
return b;
}
edsc_expr_t bindConstantInt(edsc_mlir_emitter_t emitter, int64_t value,
unsigned bitwidth) {
auto *e = reinterpret_cast<mlir::edsc::MLIREmitter *>(emitter);
Expr b;
e->bindConstant<mlir::ConstantIntOp>(
b, value, e->getBuilder()->getIntegerType(bitwidth));
return b;
}
edsc_expr_t bindConstantIndex(edsc_mlir_emitter_t emitter, int64_t value) {
auto *e = reinterpret_cast<mlir::edsc::MLIREmitter *>(emitter);
Expr b;
e->bindConstant<mlir::ConstantIndexOp>(Bindable(b), value);
return b;
}
unsigned getRankOfFunctionArgument(mlir_func_t function, unsigned pos) {
auto *f = reinterpret_cast<mlir::Function *>(function);
assert(pos < f->getNumArguments());
auto *arg = *(f->getArguments().begin() + pos);
if (auto memRefType = arg->getType().dyn_cast<mlir::MemRefType>()) {
return memRefType.getRank();
}
return 0;
}
mlir_type_t getTypeOfFunctionArgument(mlir_func_t function, unsigned pos) {
auto *f = reinterpret_cast<mlir::Function *>(function);
assert(pos < f->getNumArguments());
auto *arg = *(f->getArguments().begin() + pos);
return mlir_type_t{arg->getType().getAsOpaquePointer()};
}
edsc_expr_t bindFunctionArgument(edsc_mlir_emitter_t emitter,
mlir_func_t function, unsigned pos) {
auto *e = reinterpret_cast<mlir::edsc::MLIREmitter *>(emitter);
auto *f = reinterpret_cast<mlir::Function *>(function);
assert(pos < f->getNumArguments());
auto *arg = *(f->getArguments().begin() + pos);
Expr b;
e->bind(Bindable(b), arg);
return Expr(b);
}
void bindFunctionArguments(edsc_mlir_emitter_t emitter, mlir_func_t function,
edsc_expr_list_t *result) {
auto *e = reinterpret_cast<mlir::edsc::MLIREmitter *>(emitter);
auto *f = reinterpret_cast<mlir::Function *>(function);
assert(result->n == f->getNumArguments());
for (unsigned pos = 0; pos < result->n; ++pos) {
auto *arg = *(f->getArguments().begin() + pos);
Expr b;
e->bind(Bindable(b), arg);
result->exprs[pos] = Expr(b);
}
}
unsigned getBoundMemRefRank(edsc_mlir_emitter_t emitter,
edsc_expr_t boundMemRef) {
auto *e = reinterpret_cast<mlir::edsc::MLIREmitter *>(emitter);
auto *v = e->getValue(mlir::edsc::Expr(boundMemRef));
assert(v && "Expected a bound Expr");
auto memRefType = v->getType().cast<mlir::MemRefType>();
return memRefType.getRank();
}
void bindMemRefShape(edsc_mlir_emitter_t emitter, edsc_expr_t boundMemRef,
edsc_expr_list_t *result) {
auto *e = reinterpret_cast<mlir::edsc::MLIREmitter *>(emitter);
auto *v = e->getValue(mlir::edsc::Expr(boundMemRef));
assert(v && "Expected a bound Expr");
auto memRefType = v->getType().cast<mlir::MemRefType>();
auto rank = memRefType.getRank();
assert(result->n == rank && "Unexpected memref shape binding results count");
auto bindables = e->makeBoundMemRefShape(v);
for (unsigned i = 0; i < rank; ++i) {
result->exprs[i] = bindables[i];
}
}
void bindMemRefView(edsc_mlir_emitter_t emitter, edsc_expr_t boundMemRef,
edsc_expr_list_t *resultLbs, edsc_expr_list_t *resultUbs,
edsc_expr_list_t *resultSteps) {
auto *e = reinterpret_cast<mlir::edsc::MLIREmitter *>(emitter);
auto *v = e->getValue(mlir::edsc::Expr(boundMemRef));
auto memRefType = v->getType().cast<mlir::MemRefType>();
auto rank = memRefType.getRank();
assert(resultLbs->n == rank && "Unexpected memref binding results count");
assert(resultUbs->n == rank && "Unexpected memref binding results count");
assert(resultSteps->n == rank && "Unexpected memref binding results count");
auto bindables = e->makeBoundMemRefShape(v);
Expr zero;
e->bindConstant<mlir::ConstantIndexOp>(zero, 0);
Expr one;
e->bindConstant<mlir::ConstantIndexOp>(one, 1);
for (unsigned i = 0; i < rank; ++i) {
resultLbs->exprs[i] = zero;
resultUbs->exprs[i] = bindables[i];
resultSteps->exprs[i] = one;
}
}
#define DEFINE_EDSL_BINARY_OP(FUN_NAME, OP_SYMBOL) \
edsc_expr_t FUN_NAME(edsc_expr_t e1, edsc_expr_t e2) { \
return Expr(e1) OP_SYMBOL Expr(e2); \
}
DEFINE_EDSL_BINARY_OP(Add, +);
DEFINE_EDSL_BINARY_OP(Sub, -);
DEFINE_EDSL_BINARY_OP(Mul, *);
// DEFINE_EDSL_BINARY_OP(Div, /);
DEFINE_EDSL_BINARY_OP(LT, <);
DEFINE_EDSL_BINARY_OP(LE, <=);
DEFINE_EDSL_BINARY_OP(GT, >);
DEFINE_EDSL_BINARY_OP(GE, >=);
DEFINE_EDSL_BINARY_OP(EQ, ==);
DEFINE_EDSL_BINARY_OP(NE, !=);
DEFINE_EDSL_BINARY_OP(And, &&);
DEFINE_EDSL_BINARY_OP(Or, ||);
#undef DEFINE_EDSL_BINARY_OP
#define DEFINE_EDSL_UNARY_OP(FUN_NAME, OP_SYMBOL) \
edsc_expr_t FUN_NAME(edsc_expr_t e) { return (OP_SYMBOL(Expr(e))); }
DEFINE_EDSL_UNARY_OP(Negate, !);
#undef DEFINE_EDSL_UNARY_OP
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