[Mlir-commits] [mlir] [MLIR] support dynamic indexing in `VectorEmulateNarrowTypes` (PR #114169)

[Andrzej Warzyński]

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@@ -64,4 +71,53 @@ func.func @vector_cst_maskedload_i2(%passthru: vector<5xi2>) -> vector<3x5xi2> {
 // CHECK: %[[INSERT2:.+]] = vector.insert_strided_slice %[[ORIGINMASK]], %[[CST2]]
 // CHECK-SAME: {offsets = [2], strides = [1]} : vector<5xi1> into vector<8xi1>
 // CHECK: %[[SELECT:.+]] = arith.select %[[INSERT2]], %[[BITCAST2]], %[[INSERT1]] : vector<8xi1>, vector<8xi2>
-// CHECK: vector.extract_strided_slice %[[SELECT]] {offsets = [2], sizes = [5], strides = [1]} : vector<8xi2> to vector<5xi2> 
+// CHECK: vector.extract_strided_slice %[[SELECT]] {offsets = [2], sizes = [5], strides = [1]} : vector<8xi2> to vector<5xi2>
+
+//-----
+
+func.func @vector_load_i2_dynamic_indexing(%idx1: index, %idx2: index) -> vector<3xi2> {
+  %0 = memref.alloc() : memref<3x3xi2>
+  %cst = arith.constant dense<0> : vector<3x3xi2>
+  %1 = vector.load %0[%idx1, %idx2] : memref<3x3xi2>, vector<3xi2>
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banach-space wrote:

What if one idx is constant and the other is dynamic? 

https://github.com/llvm/llvm-project/pull/114169