[ck_tile] refactor reduce kernel (#3257)

* refactor reduce kernel

- Rename Reduce kernel as per convention

- Move kept_dim and reduce_dims from runtime to compile-time parameters

- Update Reduce2dProblem template to include KeptDim, ReduceDims, and
Rank

- Remove IsSupportedArgument validation function as it's unnecessary.
Not using the GuaranteedLastDimensionVectorStride while making tensor
view or descriptor which removes the bounds enforced earlier. We still
calculate and use vector size.

- Update reduce example to demonstrate NCHW->NHW reduction with
non-contiguous support

- Update tests

Kernel now handles both contiguous and non-contiguous memory layout.

* fix compile errors

include/ck_tile/ops/reduce/pipeline/reduce2d_problem.hpp

@@ -12,6 +12,9 @@ template <typename XDataType_,
           typename YDataType_,
           typename BlockShape_,
           typename ReduceOp_,
+          typename KeptDim_,
+          typename ReduceDims_,
+          index_t Rank_,
           bool OutputIndex_ = false>
 struct Reduce2dProblem
 {
@@ -20,7 +23,11 @@ struct Reduce2dProblem
     using YDataType       = remove_cvref_t<YDataType_>;
     using BlockShape      = remove_cvref_t<BlockShape_>;
     using ReduceOp        = ReduceOp_;
+    using KeptDim         = remove_cvref_t<KeptDim_>;
+    using ReduceDims      = remove_cvref_t<ReduceDims_>;
 
+    static constexpr index_t Rank            = Rank_;
+    static constexpr index_t NumReduceDim    = ReduceDims::size();
     static constexpr bool kOutputIndex       = OutputIndex_;
     static constexpr bool kNeedCrossLaneSync = BlockShape::ThreadPerWarp_N > 1;
     static constexpr bool kNeedCrossWarpSync = BlockShape::WarpPerBlock_N > 1;