[Mlir-commits] [mlir] [MLIR] Refactor to create vectorization convOp precondition check (PR #130181)

[Zhuoran Yin]

================
@@ -1939,6 +1939,132 @@ vectorizeInsertSliceOpPrecondition(tensor::InsertSliceOp sliceOp,
   return success();
 }
 
+namespace {
+enum class ConvOperationKind { Conv, Pool };
+} // namespace
+
+static bool isCastOfBlockArgument(Operation *op) {
+  return isa<CastOpInterface>(op) && op->getNumOperands() == 1 &&
+         isa<BlockArgument>(op->getOperand(0));
+}
+
+// Returns the ConvOperationKind of the op using reduceOp of the generic
+// payload. If it is neither a convolution nor a pooling, it returns
+// std::nullopt.
+//
+// If (region has 2 ops (reduction + yield) or 3 ops (extension + reduction
+// + yield) and rhs is not used) then it is the body of a pooling
+// If conv, check for single `mul` predecessor. The `mul` operands must be
+// block arguments or extension of block arguments.
+// Otherwise, check for one or zero `ext` predecessor. The `ext` operands
+// must be block arguments or extension of block arguments.
+static std::optional<ConvOperationKind>
+getConvOperationKind(Operation *reduceOp) {
+  int numBlockArguments =
+      llvm::count_if(reduceOp->getOperands(), llvm::IsaPred<BlockArgument>);
+
+  switch (numBlockArguments) {
+  case 1: {
+    // Will be convolution if feeder is a MulOp.
+    // A strength reduced version of MulOp for i1 type is AndOp which is also
+    // supported. Otherwise, it can be pooling. This strength reduction logic
+    // is in `buildBinaryFn` helper in the Linalg dialect.
+    auto feedValIt = llvm::find_if_not(reduceOp->getOperands(),
+                                       llvm::IsaPred<BlockArgument>);
+    Operation *feedOp = (*feedValIt).getDefiningOp();
+    if (isCastOfBlockArgument(feedOp)) {
+      return ConvOperationKind::Pool;
+    }
+
+    if (!((isa<arith::MulIOp, arith::MulFOp>(feedOp) ||
+           (isa<arith::AndIOp>(feedOp) &&
+            feedOp->getResultTypes()[0].isInteger(1))) &&
+          llvm::all_of(feedOp->getOperands(), [](Value v) {
+            if (isa<BlockArgument>(v))
+              return true;
+            if (Operation *op = v.getDefiningOp())
+              return isCastOfBlockArgument(op);
+            return false;
+          }))) {
+      return std::nullopt;
+    }
+
+    return ConvOperationKind::Conv;
+  }
+  case 2:
+    // Must be pooling
+    return ConvOperationKind::Pool;
+  default:
+    return std::nullopt;
+  }
+}
+
+static bool isSupportedPoolKind(vector::CombiningKind kind) {
+  switch (kind) {
+  case vector::CombiningKind::ADD:
+  case vector::CombiningKind::MAXNUMF:
+  case vector::CombiningKind::MAXIMUMF:
+  case vector::CombiningKind::MAXSI:
+  case vector::CombiningKind::MAXUI:
+  case vector::CombiningKind::MINNUMF:
+  case vector::CombiningKind::MINIMUMF:
+  case vector::CombiningKind::MINSI:
+  case vector::CombiningKind::MINUI:
+    return true;
+  default:
+    return false;
+  }
+}
+
+static LogicalResult vectorizeConvOpPrecondition(linalg::LinalgOp convOp) {
+  if (convOp.getNumDpsInputs() != 2 || convOp.getNumDpsInits() != 1)
+    return failure();
+
+  auto lhsShaped = convOp.getDpsInputOperand(0)->get();
+  auto rhsShaped = convOp.getDpsInputOperand(1)->get();
+  auto resShaped = convOp.getDpsInitOperand(0)->get();
----------------
jerryyin wrote:

Those are actually used in a few places like:
 - Conv1DGenerator::conv()
 - Conv1DGenerator::depthwiseconv()

It sure was a decision to store all those fields instead of the linalgOp :-p

https://github.com/llvm/llvm-project/pull/130181