[MLIR] fix shape.broadcast canonicalize all empty shape operands

Author: YellowHCH

mlir/lib/Dialect/Shape/IR/Shape.cpp

@@ -699,6 +699,12 @@ struct RemoveEmptyShapeOperandsPattern : public OpRewritePattern<OpTy> {
                                                  isPotentiallyNonEmptyShape);
 
     // Reduce op to equivalent without empty shape operands.
+    if (newOperands.empty()) {
+      rewriter.replaceOpWithNewOp<ConstShapeOp>(
+          op, op->getResultTypes().front(), rewriter.getIndexTensorAttr({}));
+      return success();
+    }
+
     if (newOperands.size() < op.getNumOperands()) {
       rewriter.replaceOpWithNewOp<OpTy>(op, op->getResultTypes(), newOperands,
                                         op->getAttrs());

mlir/test/Dialect/Shape/canonicalize.mlir

@@ -1,4 +1,5 @@
 // RUN: mlir-opt -split-input-file -allow-unregistered-dialect -canonicalize="test-convergence" %s | FileCheck %s
+// RUN: mlir-opt -split-input-file -allow-unregistered-dialect -canonicalize="test-convergence top-down=1" %s | FileCheck %s
 
 // CHECK-LABEL: func @f
 func.func @f(%arg0: tensor<2x3x4xf32>) -> tensor<3xindex> {
@@ -134,6 +135,21 @@ func.func @all_but_one_empty(%arg0 : !shape.shape) -> !shape.shape {
 
 // -----
 
+// All operands are known empty shapes.
+// CHECK-LABEL: @all_empty
+// CHECK-SAME:  (%[[ARG_0:.*]]: tensor<f32>, %[[ARG_1:.*]]: tensor<i1>)
+func.func @all_empty(%arg0: tensor<f32>, %arg1: tensor<i1>) -> tensor<0xindex> {
+  // CHECK: %[[CST:.*]] = shape.const_shape [] : tensor<0xindex>
+  // CHECK: return %[[CST]] : tensor<0xindex>
+  %1 = shape.shape_of %arg0 : tensor<f32> -> tensor<0xindex>
+  %2 = shape.shape_of %arg1 : tensor<i1> -> tensor<0xindex>
+  %3 = shape.const_shape [] : tensor<0xindex>
+  %4 = shape.broadcast %1, %2, %3 : tensor<0xindex>, tensor<0xindex>, tensor<0xindex> -> tensor<0xindex>
+  return %4 : tensor<0xindex>
+}
+
+// -----
+
 // Partial folding.
 // CHECK-LABEL: @partial_folding
 // CHECK-SAME:  (%[[ARG:.*]]: !shape.shape)