Fix Doxygen @param and @tparam names that do not match the declarations

cpp/include/cudf/column/column_device_view_base.cuh

@@ -132,7 +132,7 @@ class alignas(16) column_device_view_base {
    * This function will only participate in overload resolution if `is_rep_layout_compatible<T>()`
    * or `std::is_same_v<T,void>` are true.
    *
-   * @tparam The type to cast to
+   * @tparam T The type to cast to
    * @return Typed pointer to underlying data
    */
   template <typename T = void,
@@ -638,7 +638,7 @@ class alignas(16) mutable_column_device_view_core : public detail::column_device
    * a column, and instead, accessing the elements should be done via
    * `data<T>()`.
    *
-   * @tparam The type to cast to
+   * @tparam T The type to cast to
    * @return Typed pointer to underlying data
    */
   template <typename T = void,

cpp/include/cudf/column/column_view.hpp

@@ -56,7 +56,7 @@ class column_view_base {
    * This function will only participate in overload resolution if `is_rep_layout_compatible<T>()`
    * or `std::is_same_v<T,void>` are true.
    *
-   * @tparam The type to cast to
+   * @tparam T The type to cast to
    * @return Typed pointer to underlying data
    */
   template <typename T = void,
@@ -560,7 +560,7 @@ class mutable_column_view : public detail::column_view_base {
    * @note It should be rare to need to access the `head<T>()` allocation of a
    * column, and instead, accessing the elements should be done via `data<T>()`.
    *
-   * @tparam The type to cast to
+   * @tparam T The type to cast to
    * @return Typed pointer to underlying data
    */
   template <typename T = void,

cpp/include/cudf/detail/iterator.cuh

@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2019-2026, NVIDIA CORPORATION.
+ * SPDX-FileCopyrightText: Copyright (c) 2019-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  */
 
@@ -324,7 +324,7 @@ CUDF_HOST_DEVICE auto inline make_validity_iterator(column_device_view const& co
  *
  * For `p = *(iter + i)`, `p` is the validity of the scalar.
  *
- * @tparam bool unused. This template parameter exists to enforce the same
+ * @tparam safe unused. This template parameter exists to enforce the same
  *         template interface as @ref make_validity_iterator(column_device_view const&).
  * @param scalar_value The scalar to iterate
  * @return auto Iterator that returns scalar validity

cpp/include/cudf/detail/utilities/vector_factories.hpp

@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2026, NVIDIA CORPORATION.
+ * SPDX-FileCopyrightText: Copyright (c) 2021-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  */
 
@@ -102,7 +102,6 @@ rmm::device_uvector<std::remove_cv_t<T>> make_device_uvector_async(
  * @note This function does not synchronize `stream`.
  *
  * @tparam Container The type of the container to copy from
- * @tparam T The type of the data to copy
  * @param c The input host container from which to copy
  * @param stream The stream on which to allocate memory and perform the copy
  * @param mr The memory resource to use for allocating the returned device_uvector
@@ -166,7 +165,6 @@ rmm::device_uvector<std::remove_cv_t<T>> make_device_uvector_async(
  * @note This function does not synchronize `stream`.
  *
  * @tparam Container The type of the container to copy from
- * @tparam T The type of the data to copy
  * @param c The input device container from which to copy
  * @param stream The stream on which to allocate memory and perform the copy
  * @param mr The memory resource to use for allocating the returned device_uvector
@@ -210,7 +208,6 @@ rmm::device_uvector<T> make_device_uvector(host_span<T const> source_data,
  * @note This function synchronizes `stream`.
  *
  * @tparam Container The type of the container to copy from
- * @tparam T The type of the data to copy
  * @param c The input host container from which to copy
  * @param stream The stream on which to allocate memory and perform the copy
  * @param mr The memory resource to use for allocating the returned device_uvector
@@ -273,7 +270,6 @@ rmm::device_uvector<T> make_device_uvector(device_span<T const> source_data,
  * @note This function synchronizes `stream`.
  *
  * @tparam Container The type of the container to copy from
- * @tparam T The type of the data to copy
  * @param c The input device container from which to copy
  * @param stream The stream on which to allocate memory and perform the copy
  * @param mr The memory resource to use for allocating the returned device_uvector
@@ -316,7 +312,6 @@ std::vector<std::remove_cv_t<T>> make_std_vector_async(device_span<T> v,
  * @note This function synchronizes `stream` after the copy.
  *
  * @tparam Container The type of the container to copy from
- * @tparam T The type of the data to copy
  * @param c The input device container from which to copy
  * @param stream The stream on which to perform the copy
  * @return The data copied to the host
@@ -355,7 +350,6 @@ std::vector<T> make_std_vector(device_span<T const> v, rmm::cuda_stream_view str
  * @note This function synchronizes `stream`.
  *
  * @tparam Container The type of the container to copy from
- * @tparam T The type of the data to copy
  * @param c The input device container from which to copy
  * @param stream The stream on which to perform the copy
  * @return The data copied to the host
@@ -430,7 +424,6 @@ host_vector<T> make_host_vector_async(device_span<T const> v, rmm::cuda_stream_v
  * using a pinned memory resource.
  *
  * @tparam Container The type of the container to copy from
- * @tparam T The type of the data to copy
  * @param c The input device container from which to copy
  * @param stream The stream on which to perform the copy
  * @return The data copied to the host
@@ -470,7 +463,6 @@ host_vector<T> make_host_vector(device_span<T const> v, rmm::cuda_stream_view st
  * @note This function synchronizes `stream` after the copy.
  *
  * @tparam Container The type of the container to copy from
- * @tparam T The type of the data to copy
  * @param c The input device container from which to copy
  * @param stream The stream on which to perform the copy
  * @return The data copied to the host

cpp/include/cudf/interop.hpp

@@ -323,8 +323,6 @@ class arrow_column {
   /**
    * @brief Get a view of the column data
    *
-   * @param stream CUDA stream used for device memory operations and kernel launches
-   * @param mr Device memory resource used for any allocations during conversion
    * @return A view of the column data
    */
   [[nodiscard]] column_view view() const;
@@ -443,8 +441,6 @@ class arrow_table {
   /**
    * @brief Get a view of the table data
    *
-   * @param stream CUDA stream used for device memory operations and kernel launches
-   * @param mr Device memory resource used for any allocations during conversion
    * @return A view of the table data
    */
   [[nodiscard]] table_view view() const;

cpp/include/cudf/utilities/traits.hpp

@@ -377,8 +377,8 @@ bool is_floating_point(data_type type);
  * @brief Indicates whether `T` is a std::byte type.
  *
  * @tparam T The type to verify
- * @return true `type` is std::byte
- * @return false `type` is not std::byte
+ * @return true `T` is std::byte
+ * @return false `T` is not std::byte
  */
 template <typename T>
 constexpr inline bool is_byte()
@@ -389,9 +389,9 @@ constexpr inline bool is_byte()
 /**
  * @brief Indicates whether `T` is a Boolean type.
  *
- * @param type The `data_type` to verify
- * @return true `type` is Boolean
- * @return false `type` is not Boolean
+ * @tparam T The type to verify
+ * @return true `T` is Boolean
+ * @return false `T` is not Boolean
  */
 template <typename T>
 constexpr inline bool is_boolean()
@@ -642,9 +642,9 @@ bool is_compound(data_type type);
  * can have an arbitrarily deep list of descendants of the same
  * type. Strings are not a nested type, but lists are.
  *
- * @param T The type to verify
- * @return true T is a nested type
- * @return false T is not a nested type
+ * @tparam T The type to verify
+ * @return true `T` is a nested type
+ * @return false `T` is not a nested type
  */
 template <typename T>
 CUDF_HOST_DEVICE constexpr inline bool is_nested()

cpp/include/cudf/utilities/type_dispatcher.hpp

@@ -74,7 +74,7 @@ struct id_to_type_impl {
  * ```
  * static_assert(std::is_same<int32_t, id_to_type<id_type::INT32>);
  * ```
- * @tparam t The `cudf::type_id` to map
+ * @tparam Id The `cudf::type_id` to map
  */
 template <cudf::type_id Id>
 using id_to_type = typename id_to_type_impl<Id>::type;
@@ -443,7 +443,7 @@ using scalar_device_type_t = typename type_to_scalar_type_impl<T>::ScalarDeviceT
  * lambda must be the same, else there will be a compiler error as you would be
  * trying to return different types from the same function.
  *
- * @tparam id_to_type_impl Maps a `cudf::type_id` its dispatched C++ type
+ * @tparam IdTypeMap Maps a `cudf::type_id` to its dispatched C++ type
  * @tparam Functor The callable object's type
  * @tparam Ts Variadic parameter pack type
  * @param dtype The `cudf::data_type` whose `id()` determines which template

cpp/include/cudf_test/column_wrapper.hpp

@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2019-2026, NVIDIA CORPORATION.
+ * SPDX-FileCopyrightText: Copyright (c) 2019-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  */
 
@@ -920,7 +920,8 @@ class strings_column_wrapper : public detail::column_wrapper {
  * This class handles fixed-width type keys.
  *
  * @tparam KeyElementTo Specify a fixed-width type for the key values of the dictionary
- * @tparam SourceElementTo For converting fixed-width values to the KeyElementTo
+ * @tparam SourceElementT The fixed-width element type that is used to create elements of type
+ * `KeyElementTo`
  */
 template <typename KeyElementTo, typename SourceElementT = KeyElementTo>
 class dictionary_column_wrapper : public detail::column_wrapper {

cpp/include/cudf_test/timestamp_utilities.cuh

@@ -1,5 +1,5 @@
 /*
- * SPDX-FileCopyrightText: Copyright (c) 2019-2024, NVIDIA CORPORATION.
+ * SPDX-FileCopyrightText: Copyright (c) 2019-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
  * SPDX-License-Identifier: Apache-2.0
  */
 
@@ -26,9 +26,8 @@ using time_point_ms =
  * The period is inferred from `count` and difference between `start`
  * and `stop`.
  *
- * @tparam Rep The arithmetic type representing the number of ticks
- * @tparam Period A cuda::std::ratio representing the tick period (i.e. the
- *number of seconds per tick)
+ * @tparam T The timestamp type of the generated column's elements
+ * @tparam nullable Whether the generated column carries a validity mask
  * @param count The number of timestamps to create
  * @param start The first timestamp as a cuda::std::chrono::time_point
  * @param stop The last timestamp as a cuda::std::chrono::time_point

cpp/src/rolling/detail/range_utils.cuh

@@ -604,7 +604,7 @@ struct range_window_clamper {
   /**
    * @brief Is the given type supported as an orderby column.
    *
-   * @tparam The type of the elements of the orderby column.
+   * @tparam OrderbyT The type of the elements of the orderby column.
    */
   template <typename OrderbyT>
   static constexpr bool is_supported()

cpp/src/strings/count_matches.hpp

@@ -29,7 +29,7 @@ namespace detail {
  * also need the device program for other work (e.g. extraction) should build it once
  * and pass it here to avoid a redundant device program build.
  *
- * @tparam The regex prog device instance used for this API
+ * @tparam ProgDevice The regex prog device instance used for this API
  * @param d_strings Device view of the input strings column
  * @param d_prog Device regex program to evaluate on each string
  * @param strings_count Number of strings (and rows in the output column)