[mlir][SparseTensor] Add missing dependent dialect to pass (#88870)

This commit fixes the following error when stopping the sparse compiler
pipeline after bufferization (e.g., with `test-analysis-only`):

```
LLVM ERROR: Building op `vector.print` but it isn't known in this MLIRContext: the dialect may not be loaded or this operation hasn't been added by the dialect. See also https://mlir.llvm.org/getting_started/Faq/#registered-loaded-dependent-whats-up-with-dialects-management
```

Author: matthias-springer

mlir/include/mlir/Dialect/SparseTensor/Transforms/Passes.td

@@ -460,6 +460,7 @@ def SparsificationAndBufferization : Pass<"sparsification-and-bufferization", "M
     "memref::MemRefDialect",
     "scf::SCFDialect",
     "sparse_tensor::SparseTensorDialect",
+    "vector::VectorDialect"
   ];
 }
 

mlir/lib/Dialect/SparseTensor/Transforms/SparsificationAndBufferizationPass.cpp

@@ -24,6 +24,7 @@
 #include "mlir/Dialect/SCF/IR/SCF.h"
 #include "mlir/Dialect/SparseTensor/IR/SparseTensor.h"
 #include "mlir/Dialect/SparseTensor/Transforms/Passes.h"
+#include "mlir/Dialect/Vector/IR/VectorOps.h"
 #include "mlir/Pass/PassManager.h"
 #include "mlir/Transforms/Passes.h"
 

mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_block3d.mlir

@@ -30,6 +30,10 @@
 // Do the same run, but now with direct IR generation and VLA vectorization.
 // RUN: %if mlir_arm_sve_tests %{ %{compile_sve} | %{run_sve} | FileCheck %s %}
 
+// Test that test-bufferization-analysis-only works. This option is useful
+// for understanding why buffer copies were inserted.
+// RUN: mlir-opt %s --sparsifier="test-bufferization-analysis-only" -o /dev/null
+
 #Sparse1 = #sparse_tensor.encoding<{
   map = (i, j, k) -> (
     j : compressed,