bugfix: fix broken tvm integration caused by #568 (#582)

Hi, now tvm wrapper build failed cause by #568.
I noticed that the new `BatchQKApplyRotary` interface removed
`__restrict__` modifier from `DType* q, DType* k, DType* q_rope, DType*
k_rope`, so it's trivial to just add one adapter function to fix this
issue.

Co-authored-by: tsu-bin <tsubin@gmail.com>

include/flashinfer/pos_enc.cuh

@@ -164,6 +164,7 @@ __global__ void BatchQKApplyRotaryPosIdsKernel(
     size_t k_stride_n, size_t k_stride_h, size_t q_rope_stride_n, size_t q_rope_stride_h,
     size_t k_rope_stride_n, size_t k_rope_stride_h, float smooth_a, float smooth_b,
     float rope_rcp_scale, float rope_rcp_theta) {
+  // NOTE: q and q_rope may be the same ptr, so do k and k_rope
   uint32_t bx = blockIdx.x, tx = threadIdx.x, ty = threadIdx.y;
   const uint32_t bdy = blockDim.y;
   vec_t<float, vec_size> freq;
@@ -410,6 +411,21 @@ cudaError_t BatchQKApplyRotary(DType* q, DType* k, DType* q_rope, DType* k_rope,
   return cudaSuccess;
 }
 
+template <typename DType, typename IdType>
+cudaError_t BatchQKApplyRotaryInPlace(DType* __restrict__ q, DType* __restrict__ k,
+                                      IdType* __restrict__ indptr, IdType* __restrict__ offsets,
+                                      uint32_t batch_size, uint32_t num_qo_heads, uint32_t num_kv_heads, 
+                                      uint32_t head_dim, size_t q_stride_n, size_t q_stride_h, 
+                                      size_t k_stride_n, size_t k_stride_h,
+                                      bool interleave, float rope_scale, float rope_theta,
+                                      cudaStream_t stream = nullptr) {
+  return BatchQKApplyRotary<DType, IdType>(q, k, q, k, indptr, offsets, batch_size, num_qo_heads, num_kv_heads,
+                            head_dim, q_stride_n, q_stride_h, k_stride_n, k_stride_h,
+                            q_stride_n, q_stride_h, k_stride_n, k_stride_h, 
+                            interleave, rope_scale, rope_theta, stream);
+
+}
+
 template <typename DType, typename IdType>
 cudaError_t BatchQKApplyLlama31Rotary(
     DType* q, DType* k, DType* q_rope, DType* k_rope, IdType* __restrict__ indptr,