[mlir][sparse][gpu] enable SpGEMM on GPU for libgen path

[aartbik]

Summary

Direct IR supports pack, but libgen parth did not until
this was added in https://reviews.llvm.org/D158012

[aartbik]

c_runner_utils

mlir/test/Integration/Dialect/SparseTensor/GPU/CUDA/sparse-gemm-lib.mlir

 //
 // NOTE: this test requires gpu-sm80
 //
+// with RT lib:
+//
+// RUN: mlir-opt %s \
+// RUN:   --sparse-compiler="enable-runtime-library=true enable-gpu-libgen gpu-triple=nvptx64-nvidia-cuda gpu-chip=sm_80 gpu-features=+ptx71"  \
+// RUN: | mlir-cpu-runner \
+// RUN:   --shared-libs=%mlir_cuda_runtime \
+// RUN:   --shared-libs=%mlir_c_runner_utils \
+// RUN:   --e main --entry-point-result=void \
+// RUN: | FileCheck %s
+//
 // without RT lib:
 //
 // RUN: mlir-opt %s \
 // RUN:   --sparse-compiler="enable-runtime-library=false enable-gpu-libgen gpu-triple=nvptx64-nvidia-cuda gpu-chip=sm_80 gpu-features=+ptx71"  \
 // RUN: | mlir-cpu-runner \
 // RUN:   --shared-libs=%mlir_cuda_runtime \
-// RUN:   --shared-libs=%mlir_runner_utils \
+// RUN:   --shared-libs=%mlir_c_runner_utils \
 // RUN:   --e main --entry-point-result=void \
 // RUN: | FileCheck %s
 
 #CSR = #sparse_tensor.encoding<{
   lvlTypes = [ "dense", "compressed" ],
   posWidth = 32,
   crdWidth = 32
 }>

mlir/test/Integration/Dialect/SparseTensor/GPU/CUDA/sparse-sampled-matmul-lib.mlir

 //  RUNNOT: %{compile} enable-runtime-library=true gpu-data-transfer-strategy=zero-copy" | %{run}
 //
 // without RT lib:
 //
 // RUN:  %{compile} enable-runtime-library=false" | %{run}
 // RUN:  %{compile} enable-runtime-library=false gpu-data-transfer-strategy=pinned-dma" | %{run}
 //  Tracker #64316
 // RUNNOT: %{compile} enable-runtime-library=false gpu-data-transfer-strategy=zero-copy" | %{run}
-// 
+//
 
 !Filename = !llvm.ptr<i8>
 
 #CSR = #sparse_tensor.encoding<{
   lvlTypes = ["dense", "compressed"]
 }>
 
 #trait_sampled_dense_dense = {