[mlir][tosa] Add error if and level checks for COND_IF & WHILE_LOOP

mlir/include/mlir/Dialect/Tosa/IR/TosaOps.td

@@ -2559,6 +2559,7 @@ def Tosa_IfOp : Tosa_Op<"cond_if",
   );
 
   let hasCustomAssemblyFormat = 1;
+  let hasVerifier = 1;
 }
 
 //===----------------------------------------------------------------------===//
@@ -2597,6 +2598,7 @@ def Tosa_WhileOp : Tosa_Op<"while_loop", [
   );
 
   let hasCustomAssemblyFormat = 1;
+  let hasVerifier = 1;
 }
 
 include "mlir/Dialect/Tosa/IR/TosaUtilOps.td"

mlir/lib/Dialect/Tosa/IR/TosaOps.cpp

@@ -562,6 +562,57 @@ static LogicalResult verifyConvOpErrorIf(T op) {
   return success();
 }
 
+// Verify whether same type and shape of the given two types.
+static LogicalResult errorIfTypeOrShapeMismatch(Operation *op, Type type1,
+                                                StringRef name1, Type type2,
+                                                StringRef name2) {
+  auto shapeType1 = dyn_cast<ShapedType>(type1);
+  auto shapeType2 = dyn_cast<ShapedType>(type2);
+  if (!shapeType1 || !shapeType2)
+    return failure();
+
+  auto elemType1 = shapeType1.getElementType();
+  auto elemType2 = shapeType2.getElementType();
+  if (elemType1 != elemType2)
+    return op->emitOpError()
+           << "require same element type for " << name1 << " (" << elemType1
+           << ") and " << name2 << " (" << elemType2 << ")";
+
+  if (failed(verifyCompatibleShape(type1, type2)))
+    return op->emitOpError()
+           << "require same shapes for " << name1 << " (" << type1 << ") and "
+           << name2 << " (" << type2 << ")";
+
+  return success();
+}
+
+// Verify whether same length, type, and shape of the given two tensor lists.
+static LogicalResult errorIfTypeOrShapeMismatch(Operation *op, ValueRange list1,
+                                                StringRef name1,
+                                                ValueRange list2,
+                                                StringRef name2) {
+  if (list1.size() != list2.size())
+    return op->emitOpError()
+           << "require same number of values in " << name1 << " ("
+           << list1.size() << ") and " << name2 << " (" << list2.size() << ")";
+
+  for (auto [type1, type2] :
+       llvm::zip_equal(list1.getTypes(), list2.getTypes())) {
+    if (errorIfTypeOrShapeMismatch(op, type1, name1, type2, name2).failed())
+      return failure();
+  }
+
+  return success();
+}
+
+static inline LogicalResult errorIfShapeNotSizeOne(Operation *op, Type type) {
+  ShapeAdaptor shapeAdaptor(type);
+  if (!shapeAdaptor.hasRank() || !shapeAdaptor.hasStaticShape())
+    return success();
+
+  return shapeAdaptor.getNumElements() == 1 ? success() : failure();
+}
+
 // verify that inType and outType have same element types
 template <typename T>
 static LogicalResult verifySameElementTypes(T op, Type inType, Type outType) {
@@ -3473,6 +3524,84 @@ void IfOp::print(OpAsmPrinter &p) {
   p.printOptionalAttrDict((*this)->getAttrs());
 }
 
+LogicalResult IfOp::verify() {
+  if (errorIfTypeOrShapeMismatch(*this, getThenGraph().front().getArguments(),
+                                 "'then_graph' arguments", getInputList(),
+                                 "'input_list'")
+          .failed())
+    return failure();
+
+  if (errorIfTypeOrShapeMismatch(*this, getElseGraph().front().getArguments(),
+                                 "'else_graph' arguments", getInputList(),
+                                 "'input_list'")
+          .failed())
+    return failure();
+
+  auto thenYield = cast<tosa::YieldOp>(getThenGraph().front().getTerminator());
+  if (errorIfTypeOrShapeMismatch(*this, thenYield.getInputs(),
+                                 "'then_graph' results", getOutputList(),
+                                 "'output_list'")
+          .failed())
+    return failure();
+
+  auto elseYield = cast<tosa::YieldOp>(getElseGraph().front().getTerminator());
+  if (errorIfTypeOrShapeMismatch(*this, elseYield.getInputs(),
+                                 "'else_graph' results", getOutputList(),
+                                 "'output_list'")
+          .failed())
+    return failure();
+
+  auto condType = getCondition().getType();
+  if (errorIfShapeNotSizeOne(*this, condType).failed())
+    return emitOpError() << "'condition' must be a size 1 tensor, got "
+                         << condType;
+
+  return success();
+}
+
+LogicalResult WhileOp::verify() {
+  if (errorIfTypeOrShapeMismatch(*this, getInputList(), "'input_list'",
+                                 getOutputList(), "'output_list'")
+          .failed())
+    return failure();
+
+  if (errorIfTypeOrShapeMismatch(*this, getCondGraph().front().getArguments(),
+                                 "'cond_graph' arguments", getInputList(),
+                                 "'input_list'")
+          .failed())
+    return failure();
+
+  if (errorIfTypeOrShapeMismatch(*this, getBodyGraph().front().getArguments(),
+                                 "'body_graph' arguments", getInputList(),
+                                 "'input_list'")
+          .failed())
+    return failure();
+
+  auto bodyYield = cast<tosa::YieldOp>(getBodyGraph().front().getTerminator());
+  if (errorIfTypeOrShapeMismatch(*this, bodyYield.getInputs(),
+                                 "'body_graph' results", getInputList(),
+                                 "'input_list'")
+          .failed())
+    return failure();
+
+  // Condition block output must be a single element tensor with a single bool
+  // value.
+  auto condYield = cast<tosa::YieldOp>(getCondGraph().front().getTerminator());
+  if (condYield.getInputs().size() != 1)
+    return emitOpError() << "require 'cond_graph' only have one result";
+
+  auto condOutType = condYield.getInputs()[0].getType();
+  if (errorIfShapeNotSizeOne(*this, condOutType).failed())
+    return emitOpError() << "'cond_graph' result must be a size 1 tensor, got "
+                         << condOutType;
+
+  if (!getElementTypeOrSelf(condOutType).isInteger(1))
+    return emitOpError() << "'cond_graph' result must be a boolean tensor, got "
+                         << condOutType;
+
+  return success();
+}
+
 LogicalResult ReverseOp::verify() {
   if (verifySameElementTypes(*this, /* inType = */ getInput1().getType(),
                              /* outType = */ getOutput().getType())

mlir/lib/Dialect/Tosa/Transforms/TosaValidation.cpp

@@ -449,6 +449,35 @@ struct TosaValidation : public tosa::impl::TosaValidationBase<TosaValidation> {
     return true;
   }
 
+  // Recursively perform a bottom-up search to determine the maximum nesting
+  // depth, starting from a specific operation and continuing up to the function
+  // or module scope. Tosa nesting_depth starts at 0 and increments by one each
+  // time a new nested `region` is encountered.
+  static void getMaxNestedDepth(Operation *op, int32_t &depth) {
+    if (isa<mlir::func::FuncOp>(op) || isa<ModuleOp>(op))
+      return;
+
+    op = op->getParentOp();
+    if (!op)
+      return;
+
+    depth++;
+    getMaxNestedDepth(op, depth);
+    return;
+  }
+
+  bool levelCheckMaxNesting(Operation *op) {
+    int32_t maxNestedDepth = 0;
+    getMaxNestedDepth(op, maxNestedDepth);
+
+    if (maxNestedDepth >= tosaLevel.MAX_NESTING) {
+      op->emitOpError() << "failed level check: " << maxNestedDepth
+                        << " >= MAX_NESTING";
+      return false;
+    }
+    return true;
+  }
+
   bool levelCheckListSize(Operation *op) {
     if (auto concat = dyn_cast<tosa::ConcatOp>(op)) {
       return levelCheckListSize(op, concat.getInput1().size(), "input1");
@@ -750,6 +779,12 @@ LogicalResult TosaValidation::applyLevelCheck(Operation *op) {
     return failure();
   }
 
+  if (isa<tosa::IfOp>(op) || isa<tosa::WhileOp>(op)) {
+    if (!levelCheckMaxNesting(op)) {
+      return failure();
+    }
+  }
+
   return success();
 }