[Misc] Replace /*! with /**. (#4823)

* replace

* blabla

* balbla

* blabla
Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>

src/array/cuda/array_nonzero.cu

-/*!
+/**
  *  Copyright (c) 2020 by Contributors
  * @file array/cpu/array_nonzero.cc
  * @brief Array nonzero CPU implementation

src/array/cuda/array_op_impl.cu

-/*!
+/**
  *  Copyright (c) 2020-2021 by Contributors
  * @file array/cuda/array_op_impl.cu
  * @brief Array operator GPU implementation

src/array/cuda/array_scatter.cu

-/*!
+/**
  *  Copyright (c) 2019 by Contributors
  * @file array/cuda/array_scatter.cu
  * @brief Array scatter GPU implementation

src/array/cuda/array_sort.cu

-/*!
+/**
  *  Copyright (c) 2020 by Contributors
  * @file array/cpu/array_sort.cu
  * @brief Array sort GPU implementation

src/array/cuda/atomic.cuh

-/*!
+/**
  *  Copyright (c) 2019 by Contributors
  * @file array/cuda/atomic.cuh
  * @brief Atomic functions

src/array/cuda/coo2csr.cu

-/*!
+/**
  *  Copyright (c) 2020 by Contributors
  * @file array/cuda/coo2csr.cc
  * @brief COO2CSR
@@ -58,7 +58,7 @@ CSRMatrix COOToCSR<kDGLCUDA, int32_t>(COOMatrix coo) {
       coo.num_rows, coo.num_cols, indptr, coo.col, coo.data, col_sorted);
 }
 
-/*!
+/**
  * @brief Search for the insertion positions for needle in the hay.
  *
  * The hay is a list of sorted elements and the result is the insertion position

src/array/cuda/coo_sort.cu

-/*!
+/**
  *  Copyright (c) 2020 by Contributors
  * @file array/cuda/coo_sort.cc
  * @brief Sort COO index

src/array/cuda/csr2coo.cu

-/*!
+/**
  *  Copyright (c) 2020 by Contributors
  * @file array/cuda/csr2coo.cc
  * @brief CSR2COO
@@ -45,7 +45,7 @@ COOMatrix CSRToCOO<kDGLCUDA, int32_t>(CSRMatrix csr) {
       csr.num_rows, csr.num_cols, row, indices, data, true, csr.sorted);
 }
 
-/*!
+/**
  * @brief Repeat elements
  * @param val Value to repeat
  * @param repeats Number of repeats for each value

src/array/cuda/csr_get_data.cu

-/*!
+/**
  *  Copyright (c) 2021 by Contributors
  * @file array/cuda/csr_get_data.cu
  * @brief Retrieve entries of a CSR matrix

src/array/cuda/csr_mm.cu

-/*!
+/**
  *  Copyright (c) 2020 by Contributors
  * @file array/cuda/csr_mm.cu
  * @brief SpSpMM/SpGEMM C APIs and definitions.
@@ -18,7 +18,7 @@ namespace cusparse {
 
 #if 0   // disabling CUDA 11.0+ implementation for now because of problems on bigger graphs
 
-/*! @brief Cusparse implementation of SpGEMM on Csr format for CUDA 11.0+ */
+/** @brief Cusparse implementation of SpGEMM on Csr format for CUDA 11.0+ */
 template <typename DType, typename IdType>
 std::pair<CSRMatrix, NDArray> CusparseSpgemm(
     const CSRMatrix& A,
@@ -127,7 +127,7 @@ std::pair<CSRMatrix, NDArray> CusparseSpgemm(
 
 #else   // __CUDACC_VER_MAJOR__ != 11
 
-/*! @brief Cusparse implementation of SpGEMM on Csr format for older CUDA versions */
+/** @brief Cusparse implementation of SpGEMM on Csr format for older CUDA versions */
 template <typename DType, typename IdType>
 std::pair<CSRMatrix, NDArray> CusparseSpgemm(
     const CSRMatrix& A,

src/array/cuda/csr_sort.cu

-/*!
+/**
  *  Copyright (c) 2020 by Contributors
  * @file array/cuda/csr_sort.cc
  * @brief Sort CSR index
@@ -16,7 +16,7 @@ using runtime::NDArray;
 namespace aten {
 namespace impl {
 
-/*!
+/**
  * @brief Check whether each row is sorted.
  */
 template <typename IdType>

src/array/cuda/csr_sum.cu

-/*!
+/**
  *  Copyright (c) 2020 by Contributors
  * @file array/cuda/spmm.cu
  * @brief SpGEAM C APIs and definitions.
@@ -16,7 +16,7 @@ using namespace dgl::runtime;
 namespace aten {
 namespace cusparse {
 
-/*! Cusparse implementation of SpSum on Csr format. */
+/** Cusparse implementation of SpSum on Csr format. */
 template <typename DType, typename IdType>
 std::pair<CSRMatrix, NDArray> CusparseCsrgeam2(
     const CSRMatrix& A,

src/array/cuda/csr_transpose.cc

-/*!
+/**
  *  Copyright (c) 2020 by Contributors
  * @file array/cuda/csr_transpose.cc
  * @brief CSR transpose (convert to CSC)

src/array/cuda/cuda_filter.cu

-/*!
+/**
  *  Copyright (c) 2021 by Contributors
  * @file array/cuda/cuda_filter.cc
  * @brief Object for selecting items in a set, or selecting items not in a set.

src/array/cuda/cusparse_dispatcher.cuh

-/*!
+/**
  *  Copyright (c) 2020 by Contributors
  * @file array/cuda/dispatcher.cuh
  * @brief Templates to dispatch into different cuSPARSE routines based on the type
@@ -15,7 +15,7 @@
 namespace dgl {
 namespace aten {
 
-/*! @brief cusparseXcsrgemm dispatcher */
+/** @brief cusparseXcsrgemm dispatcher */
 template <typename DType>
 struct CSRGEMM {
   template <typename... Args>
@@ -122,7 +122,7 @@ struct CSRGEMM<double> {
   }
 };
 
-/*! @brief cusparseXcsrgeam dispatcher */
+/** @brief cusparseXcsrgeam dispatcher */
 template <typename DType>
 struct CSRGEAM {
   template <typename... Args>

src/array/cuda/dgl_cub.cuh

-/*!
+/**
  *  Copyright (c) 2021 by Contributors
  * @file cuda_common.h
  * @brief Wrapper to place cub in dgl namespace.

src/array/cuda/fp16.cuh

-/*!
+/**
  *  Copyright (c) 2020-2022 by Contributors
  *
  *  Licensed under the Apache License, Version 2.0 (the "License");

src/array/cuda/functor.cuh

-/*!
+/**
  *  Copyright (c) 2020 by Contributors
  * @file array/cuda/functor.cuh
  * @brief Functors for template on CUDA

src/array/cuda/gather_mm.cu

-/*!
+/**
  *  Copyright (c) 2020 by Contributors
  * @file array/cuda/gather_mm.cu
  * @brief GatherMM C APIs and definitions.
@@ -15,7 +15,7 @@ namespace aten {
 
 namespace {
 
-/*! @brief Call cuBLAS GEMM API for dense matmul operation for float and double. */
+/** @brief Call cuBLAS GEMM API for dense matmul operation for float and double. */
 template <typename DType>
 cublasStatus_t cublasGemm(cublasHandle_t handle, cublasOperation_t transa,
     cublasOperation_t transb, int m, int n, int k,
@@ -198,7 +198,7 @@ __global__ void GatherMMScatterKernel2(
 
 }  // namespace cuda
 
-/*!
+/**
  * @brief Implementation of Gather_mm operator. The input matrix A is
  *        expected to be sorted according to relation type.
  * @param A The input dense matrix of dimension m x k
@@ -309,7 +309,7 @@ void SegmentMMBackwardB(const NDArray A,
     }
 }
 
-/*!
+/**
  * @brief Implementation of Gather_mm operator. The input matrix A is
  *        expected to be sorted according to relation type.
  * @param A The input dense matrix of dimension m x k
@@ -346,7 +346,7 @@ void GatherMM(const NDArray A,
         tot_num_rows, in_len, out_len);
 }
 
-/*!
+/**
  * @brief Implementation of Gather_mm operator. The input matrix A is
  *        expected to be sorted according to relation type.
  * @param A The input dense matrix of dimension m x k

src/array/cuda/ge_spmm.cuh

-/*!
+/**
  * Copyright (c) 2020 by Contributors
  * @file array/cuda/ge_spmm.cuh
  * @brief GE-SpMM CUDA kernel function header.
@@ -18,7 +18,7 @@ using namespace cuda;
 namespace aten {
 namespace cuda {
 
-/*!
+/**
  * @brief CUDA kernel of GE-SpMM on Csr.
  * @note GE-SpMM: https://arxiv.org/pdf/2007.03179.pdf
  *       The grid dimension x and y are reordered for better performance.