[mlir][tensor] Fix runtime verification for tensor.extract_slice when size dimension value is 0 (llvm#164878)

Previously, the runtime verification pass would insert assertion
statements with conditions that always evaluate to false for
semantically valid `tensor.extract_slice` operations where one of the
dimensions had a size of 0.

The `tensor.extract_slice` runtime verification logic was
unconditionally generating checks for the position of the last element
(`offset + (size - 1) * stride`). When `size` is 0, this causes the
assertion condition to always be false, leading to runtime failures even
though the operation is semantically valid.

This patch fixes the issue by making the `lastPos` check conditional.
The offset is always verified, but the endpoint check is only performed
when `size > 0` to avoid generating spurious assert statements.

This issue was discovered through LiteRT model, where a dynamic shape
calculation resulted in a zero-sized dimension being passed to
`tensor.extract_slice`.

The following is a simplified IR snippet from the model. After running
the runtime verification pass, an assertion that always fails is
generated because the SSA value `%3` becomes 0.

```mlir
func.func @simple_repro_from_liteRT_model(%arg0: tensor<10x4x1xf32>) -> tensor<?x?x?xf32> {
  %cst = arith.constant dense<0> : tensor<1xi32>
  %cst_0 = arith.constant dense<-1> : tensor<2xi32>
  %c-1 = arith.constant -1 : index
  %c0 = arith.constant 0 : index
  %c10 = arith.constant 10 : index
  %c1 = arith.constant 1 : index
  %c4 = arith.constant 4 : index
  %c2 = arith.constant 2 : index
  %0 = tensor.empty() : tensor<3xi32>
  %inserted_slice = tensor.insert_slice %cst into %0[0] [1] [1] : tensor<1xi32> into tensor<3xi32>
  %inserted_slice_1 = tensor.insert_slice %cst_0 into %inserted_slice[1] [2] [1] : tensor<2xi32> into tensor<3xi32>
  %extracted = tensor.extract %inserted_slice_1[%c0] : tensor<3xi32>
  %1 = index.casts %extracted : i32 to index
  %2 = arith.cmpi eq, %1, %c-1 : index
  %3 = arith.select %2, %c10, %1 : index
  %extracted_2 = tensor.extract %inserted_slice_1[%c1] : tensor<3xi32>
  %4 = index.casts %extracted_2 : i32 to index
  %5 = arith.cmpi eq, %4, %c-1 : index
  %6 = arith.select %5, %c4, %4 : index
  %extracted_3 = tensor.extract %inserted_slice_1[%c2] : tensor<3xi32>
  %7 = index.casts %extracted_3 : i32 to index
  %8 = arith.cmpi eq, %7, %c-1 : index
  %9 = arith.select %8, %c1, %7 : index
  %extracted_slice = tensor.extract_slice %arg0[0, 0, 0] [%3, %6, %9] [1, 1, 1] : tensor<10x4x1xf32> to tensor<?x?x?xf32>
  return %extracted_slice : tensor<?x?x?xf32>
}
```

The issue can be reproduced more simply with the following test case,
where `dim_0` is `0`. When the runtime verification pass is applied to
this code with `dim_0 = 0`, it generates an assertion that will always
fail at runtime.

```mlir
func.func @extract_slice_zero_size_dim(%arg0: tensor<10x4x1xf32>,
                                      %dim_0: index,
                                      %dim_1: index,
                                      %dim_2: index) {
  %slice = tensor.extract_slice %arg0[0, 0, 0] [%dim_0, %dim_1, %dim_2] [1, 1, 1]
    : tensor<10x4x1xf32> to tensor<?x?x?xf32>
  return
}

func.func @test_zero_size_extraction() {
  %input = arith.constant dense<1.0> : tensor<10x4x1xf32>
  // Define slice dimensions: 0x4x1 (zero-size in first dimension)
  %dim_0 = arith.constant 0 : index
  %dim_1 = arith.constant 4 : index
  %dim_2 = arith.constant 1 : index
  func.call @extract_slice_zero_size_dim(%input, %dim_0, %dim_1, %dim_2)
    : (tensor<10x4x1xf32>, index, index, index) -> ()
  return
}
```

P.S. We probably have a similar issue with `memref.subview`. I will
check this and send a separate PR for the issue.

---------

Co-authored-by: Hanumanth Hanumantharayappa <[email protected]>

Author: Hanumanth04

mlir/lib/Dialect/Tensor/Transforms/RuntimeOpVerification.cpp

@@ -12,6 +12,7 @@
 #include "mlir/Dialect/Arith/Utils/Utils.h"
 #include "mlir/Dialect/ControlFlow/IR/ControlFlow.h"
 #include "mlir/Dialect/ControlFlow/IR/ControlFlowOps.h"
+#include "mlir/Dialect/SCF/IR/SCF.h"
 #include "mlir/Dialect/Tensor/IR/Tensor.h"
 #include "mlir/Interfaces/RuntimeVerifiableOpInterface.h"
 
@@ -158,7 +159,11 @@ struct ExtractSliceOpInterface
     // 0 <= offset + (size - 1) * stride < dim_size
     Value zero = arith::ConstantIndexOp::create(builder, loc, 0);
     Value one = arith::ConstantIndexOp::create(builder, loc, 1);
-    for (int64_t i = 0, e = sourceType.getRank(); i < e; ++i) {
+
+    for (int64_t i : llvm::seq<int64_t>(0, sourceType.getRank())) {
+      // Reset insertion point to before the operation for each dimension
+      builder.setInsertionPoint(extractSliceOp);
+
       Value offset = getValueOrCreateConstantIndexOp(
           builder, loc, extractSliceOp.getMixedOffsets()[i]);
       Value size = getValueOrCreateConstantIndexOp(
@@ -176,6 +181,16 @@ struct ExtractSliceOpInterface
                                                         std::to_string(i) +
                                                         " is out-of-bounds"));
 
+      // Only verify if size > 0
+      Value sizeIsNonZero = arith::CmpIOp::create(
+          builder, loc, arith::CmpIPredicate::sgt, size, zero);
+
+      auto ifOp = scf::IfOp::create(builder, loc, builder.getI1Type(),
+                                    sizeIsNonZero, /*withElseRegion=*/true);
+
+      // Populate the "then" region (for size > 0).
+      builder.setInsertionPointToStart(&ifOp.getThenRegion().front());
+
       // Verify that slice does not run out-of-bounds.
       Value sizeMinusOne = arith::SubIOp::create(builder, loc, size, one);
       Value sizeMinusOneTimesStride =
@@ -184,8 +199,19 @@ struct ExtractSliceOpInterface
           arith::AddIOp::create(builder, loc, offset, sizeMinusOneTimesStride);
       Value lastPosInBounds =
           generateInBoundsCheck(builder, loc, lastPos, zero, dimSize);
+      scf::YieldOp::create(builder, loc, lastPosInBounds);
+
+      // Populate the "else" region (for size == 0).
+      builder.setInsertionPointToStart(&ifOp.getElseRegion().front());
+      Value trueVal =
+          arith::ConstantOp::create(builder, loc, builder.getBoolAttr(true));
+      scf::YieldOp::create(builder, loc, trueVal);
+
+      builder.setInsertionPointAfter(ifOp);
+      Value finalCondition = ifOp.getResult(0);
+
       cf::AssertOp::create(
-          builder, loc, lastPosInBounds,
+          builder, loc, finalCondition,
           generateErrorMessage(
               op, "extract_slice runs out-of-bounds along dimension " +
                       std::to_string(i)));

mlir/test/Integration/Dialect/Tensor/extract_slice-runtime-verification.mlir

@@ -34,6 +34,12 @@ func.func @extract_slice_dynamic_rank_reduce(%tensor: tensor<?x4xf32>, %offset:
     return
 }
 
+func.func @extract_slice_zero_size_dim(%arg0: tensor<10x4x1xf32>, %dim_0: index, %dim_1: index, %dim_2: index) {
+    tensor.extract_slice %arg0[0, 0, 0] [%dim_0, %dim_1, %dim_2] [1, 1, 1] : tensor<10x4x1xf32> to tensor<?x?x?xf32>
+    return
+}
+
+
 func.func @main() {
   %0 = arith.constant 0 : index
   %1 = arith.constant 1 : index
@@ -101,6 +107,13 @@ func.func @main() {
   // CHECK-NOT: ERROR: Runtime op verification failed
   func.call @extract_slice_dynamic_rank_reduce(%alloca_4_dyn, %0, %1, %0) : (tensor<?x4xf32>, index, index, index) -> ()
 
+  %cst10x4x1xf32 = arith.constant dense<1.0> : tensor<10x4x1xf32>
+  
+  // CHECK-NOT: ERROR: Runtime op verification failed
+  %dim_0 = arith.constant 0 : index
+  %dim_1 = arith.constant 4 : index
+  %dim_2 = arith.constant 1 : index
+  func.call @extract_slice_zero_size_dim(%cst10x4x1xf32, %dim_0, %dim_1, %dim_2) : (tensor<10x4x1xf32>, index, index, index) -> ()
 
   return
 }