Update test

Author: kuhar

mlir/test/Dialect/Linalg/vectorize-tensor-extract.mlir

@@ -278,12 +278,11 @@ func.func @vectorize_nd_tensor_extract_load_1d_column_vector_using_gather_load(%
 // CHECK: %[[EMPTY:.*]] = tensor.empty() : tensor<8x1xf32>
 // CHECK: %[[B1:.*]] = vector.broadcast %[[CST_3]] : vector<8xindex> to vector<1x8xindex>
 // CHECK: %[[ADDI_ARG1:.*]] = arith.addi %[[ARG1]], %[[ARG1]] : index
-// CHECK: %[[B2:.*]] = vector.broadcast %[[ADDI_ARG1]] : index to vector<1xindex>
 // CHECK: %[[MULI_1:.*]] = arith.muli %[[B1]], %[[CST_0]] : vector<1x8xindex>
 // CHECK: %[[MULI_2:.*]] = arith.muli %[[MULI_1]], %[[CST]] : vector<1x8xindex>
 // CHECK: %[[T:.*]] = vector.transpose %[[MULI_2]], [1, 0] : vector<1x8xindex> to vector<8x1xindex>
-// CHECK: %[[B3:.*]] = vector.broadcast %[[B2]] : vector<1xindex> to vector<8x1xindex>
-// CHECK: %[[ADDI:.*]] = arith.addi %[[B3]], %[[T]] : vector<8x1xindex>
+// CHECK: %[[B2:.*]] = vector.broadcast %[[ADDI_ARG1]] : index to vector<8x1xindex>
+// CHECK: %[[ADDI:.*]] = arith.addi %[[B2]], %[[T]] : vector<8x1xindex>
 // CHECK: %[[GATHER:.*]] = vector.gather %[[ARG0]][%[[C0]], %[[C0]], %[[C0]]] [%[[ADDI]]], %[[CST_2]], %[[PASSTHRU]] : tensor<8x128x768xf32>, vector<8x1xindex>, vector<8x1xi1>, vector<8x1xf32> into vector<8x1xf32>
 // CHECK: vector.transfer_write %[[GATHER]], %[[EMPTY]][%[[C0]], %[[C0]]] {in_bounds = [true, true]} : vector<8x1xf32>, tensor<8x1xf32>