Remove default parameters from detail headers in include

cpp/benchmarks/common/generate_input.cu

@@ -31,6 +31,7 @@
 
 #include <rmm/device_buffer.hpp>
 #include <rmm/device_uvector.hpp>
+#include <rmm/mr/device/per_device_resource.hpp>
 
 #include <thrust/binary_search.h>
 #include <thrust/copy.h>
@@ -542,7 +543,8 @@ std::unique_ptr<cudf::column> create_random_column<cudf::string_view>(data_profi
                                         sample_indices,
                                         cudf::out_of_bounds_policy::DONT_CHECK,
                                         cudf::detail::negative_index_policy::NOT_ALLOWED,
-                                        cudf::get_default_stream());
+                                        cudf::get_default_stream(),
+                                        rmm::mr::get_current_device_resource());
   return std::move(str_table->release()[0]);
 }
 

cpp/include/cudf/detail/copy.hpp

@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2022, NVIDIA CORPORATION.
+ * Copyright (c) 2018-2023, NVIDIA CORPORATION.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -144,12 +144,11 @@ std::vector<table_view> split(table_view const& input,
  *
  * @param stream CUDA stream used for device memory operations and kernel launches.
  */
-std::unique_ptr<column> shift(
-  column_view const& input,
-  size_type offset,
-  scalar const& fill_value,
-  rmm::cuda_stream_view stream,
-  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
+std::unique_ptr<column> shift(column_view const& input,
+                              size_type offset,
+                              scalar const& fill_value,
+                              rmm::cuda_stream_view stream,
+                              rmm::mr::device_memory_resource* mr);
 
 /**
  * @brief Performs segmented shifts for specified values.
@@ -184,24 +183,22 @@ std::unique_ptr<column> shift(
  *
  * @note If `offset == 0`, a copy of @p segmented_values is returned.
  */
-std::unique_ptr<column> segmented_shift(
-  column_view const& segmented_values,
-  device_span<size_type const> segment_offsets,
-  size_type offset,
-  scalar const& fill_value,
-  rmm::cuda_stream_view stream,
-  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
+std::unique_ptr<column> segmented_shift(column_view const& segmented_values,
+                                        device_span<size_type const> segment_offsets,
+                                        size_type offset,
+                                        scalar const& fill_value,
+                                        rmm::cuda_stream_view stream,
+                                        rmm::mr::device_memory_resource* mr);
 
 /**
  * @copydoc cudf::contiguous_split
  *
  * @param stream CUDA stream used for device memory operations and kernel launches.
  **/
-std::vector<packed_table> contiguous_split(
-  cudf::table_view const& input,
-  std::vector<size_type> const& splits,
-  rmm::cuda_stream_view stream,
-  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
+std::vector<packed_table> contiguous_split(cudf::table_view const& input,
+                                           std::vector<size_type> const& splits,
+                                           rmm::cuda_stream_view stream,
+                                           rmm::mr::device_memory_resource* mr);
 
 /**
  * @copydoc cudf::pack
@@ -210,96 +207,89 @@ std::vector<packed_table> contiguous_split(
  **/
 packed_columns pack(cudf::table_view const& input,
                     rmm::cuda_stream_view stream,
-                    rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
+                    rmm::mr::device_memory_resource* mr);
 
 /**
  * @copydoc cudf::allocate_like(column_view const&, size_type, mask_allocation_policy,
  * rmm::mr::device_memory_resource*)
  *
  * @param[in] stream CUDA stream used for device memory operations and kernel launches.
  */
-std::unique_ptr<column> allocate_like(
-  column_view const& input,
-  size_type size,
-  mask_allocation_policy mask_alloc   = mask_allocation_policy::RETAIN,
-  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
-  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
+std::unique_ptr<column> allocate_like(column_view const& input,
+                                      size_type size,
+                                      mask_allocation_policy mask_alloc,
+                                      rmm::cuda_stream_view stream,
+                                      rmm::mr::device_memory_resource* mr);
 
 /**
  * @copydoc cudf::copy_if_else( column_view const&, column_view const&,
  * column_view const&, rmm::mr::device_memory_resource*)
  *
  * @param[in] stream CUDA stream used for device memory operations and kernel launches.
  */
-std::unique_ptr<column> copy_if_else(
-  column_view const& lhs,
-  column_view const& rhs,
-  column_view const& boolean_mask,
-  rmm::cuda_stream_view stream,
-  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
+std::unique_ptr<column> copy_if_else(column_view const& lhs,
+                                     column_view const& rhs,
+                                     column_view const& boolean_mask,
+                                     rmm::cuda_stream_view stream,
+                                     rmm::mr::device_memory_resource* mr);
 
 /**
  * @copydoc cudf::copy_if_else( scalar const&, column_view const&,
  * column_view const&, rmm::mr::device_memory_resource*)
  *
  * @param[in] stream CUDA stream used for device memory operations and kernel launches.
  */
-std::unique_ptr<column> copy_if_else(
-  scalar const& lhs,
-  column_view const& rhs,
-  column_view const& boolean_mask,
-  rmm::cuda_stream_view stream,
-  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
+std::unique_ptr<column> copy_if_else(scalar const& lhs,
+                                     column_view const& rhs,
+                                     column_view const& boolean_mask,
+                                     rmm::cuda_stream_view stream,
+                                     rmm::mr::device_memory_resource* mr);
 
 /**
  * @copydoc cudf::copy_if_else( column_view const&, scalar const&,
  * column_view const&, rmm::mr::device_memory_resource*)
  *
  * @param[in] stream CUDA stream used for device memory operations and kernel launches.
  */
-std::unique_ptr<column> copy_if_else(
-  column_view const& lhs,
-  scalar const& rhs,
-  column_view const& boolean_mask,
-  rmm::cuda_stream_view stream,
-  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
+std::unique_ptr<column> copy_if_else(column_view const& lhs,
+                                     scalar const& rhs,
+                                     column_view const& boolean_mask,
+                                     rmm::cuda_stream_view stream,
+                                     rmm::mr::device_memory_resource* mr);
 
 /**
  * @copydoc cudf::copy_if_else( scalar const&, scalar const&,
  * column_view const&, rmm::mr::device_memory_resource*)
  *
  * @param[in] stream CUDA stream used for device memory operations and kernel launches.
  */
-std::unique_ptr<column> copy_if_else(
-  scalar const& lhs,
-  scalar const& rhs,
-  column_view const& boolean_mask,
-  rmm::cuda_stream_view stream,
-  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
+std::unique_ptr<column> copy_if_else(scalar const& lhs,
+                                     scalar const& rhs,
+                                     column_view const& boolean_mask,
+                                     rmm::cuda_stream_view stream,
+                                     rmm::mr::device_memory_resource* mr);
 
 /**
  * @copydoc cudf::sample
  *
  * @param[in] stream CUDA stream used for device memory operations and kernel launches.
  */
-std::unique_ptr<table> sample(
-  table_view const& input,
-  size_type const n,
-  sample_with_replacement replacement = sample_with_replacement::FALSE,
-  int64_t const seed                  = 0,
-  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
-  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
+std::unique_ptr<table> sample(table_view const& input,
+                              size_type const n,
+                              sample_with_replacement replacement,
+                              int64_t const seed,
+                              rmm::cuda_stream_view stream,
+                              rmm::mr::device_memory_resource* mr);
 
 /**
  * @copydoc cudf::get_element
  *
  * @param[in] stream CUDA stream used for device memory operations and kernel launches.
  */
-std::unique_ptr<scalar> get_element(
-  column_view const& input,
-  size_type index,
-  rmm::cuda_stream_view stream,
-  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
+std::unique_ptr<scalar> get_element(column_view const& input,
+                                    size_type index,
+                                    rmm::cuda_stream_view stream,
+                                    rmm::mr::device_memory_resource* mr);
 
 /**
  * @copydoc cudf::has_nonempty_nulls
@@ -320,10 +310,9 @@ bool may_have_nonempty_nulls(column_view const& input, rmm::cuda_stream_view str
  *
  * @param stream CUDA stream used for device memory operations and kernel launches.
  */
-std::unique_ptr<column> purge_nonempty_nulls(
-  column_view const& input,
-  rmm::cuda_stream_view stream,
-  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
+std::unique_ptr<column> purge_nonempty_nulls(column_view const& input,
+                                             rmm::cuda_stream_view stream,
+                                             rmm::mr::device_memory_resource* mr);
 
 }  // namespace detail
 }  // namespace cudf

cpp/include/cudf/detail/gather.cuh

@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019-2022, NVIDIA CORPORATION.
+ * Copyright (c) 2019-2023, NVIDIA CORPORATION.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -647,13 +647,12 @@ void gather_bitmask(table_view const& source,
  * @return cudf::table Result of the gather
  */
 template <typename MapIterator>
-std::unique_ptr<table> gather(
-  table_view const& source_table,
-  MapIterator gather_map_begin,
-  MapIterator gather_map_end,
-  out_of_bounds_policy bounds_policy  = out_of_bounds_policy::DONT_CHECK,
-  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
-  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource())
+std::unique_ptr<table> gather(table_view const& source_table,
+                              MapIterator gather_map_begin,
+                              MapIterator gather_map_end,
+                              out_of_bounds_policy bounds_policy,
+                              rmm::cuda_stream_view stream,
+                              rmm::mr::device_memory_resource* mr)
 {
   std::vector<std::unique_ptr<column>> destination_columns;
 

cpp/include/cudf/detail/gather.hpp

@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019-2022, NVIDIA CORPORATION.
+ * Copyright (c) 2019-2023, NVIDIA CORPORATION.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -61,13 +61,12 @@ enum class negative_index_policy : bool { ALLOWED, NOT_ALLOWED };
  * @param[in] mr Device memory resource used to allocate the returned table's device memory
  * @return Result of the gather
  */
-std::unique_ptr<table> gather(
-  table_view const& source_table,
-  column_view const& gather_map,
-  out_of_bounds_policy bounds_policy,
-  negative_index_policy neg_indices,
-  rmm::cuda_stream_view stream,
-  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
+std::unique_ptr<table> gather(table_view const& source_table,
+                              column_view const& gather_map,
+                              out_of_bounds_policy bounds_policy,
+                              negative_index_policy neg_indices,
+                              rmm::cuda_stream_view stream,
+                              rmm::mr::device_memory_resource* mr);
 
 /**
  * @copydoc cudf::detail::gather(table_view const&,column_view const&,table_view
@@ -76,13 +75,12 @@ std::unique_ptr<table> gather(
  *
  * @throws cudf::logic_error if `gather_map` span size is larger than max of `size_type`.
  */
-std::unique_ptr<table> gather(
-  table_view const& source_table,
-  device_span<size_type const> const gather_map,
-  out_of_bounds_policy bounds_policy,
-  negative_index_policy neg_indices,
-  rmm::cuda_stream_view stream,
-  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
+std::unique_ptr<table> gather(table_view const& source_table,
+                              device_span<size_type const> const gather_map,
+                              out_of_bounds_policy bounds_policy,
+                              negative_index_policy neg_indices,
+                              rmm::cuda_stream_view stream,
+                              rmm::mr::device_memory_resource* mr);
 
 }  // namespace detail
 }  // namespace cudf

cpp/include/cudf/detail/hashing.hpp

@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019-2022, NVIDIA CORPORATION.
+ * Copyright (c) 2019-2023, NVIDIA CORPORATION.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -31,29 +31,25 @@ namespace detail {
  *
  * @param stream CUDA stream used for device memory operations and kernel launches.
  */
-std::unique_ptr<column> hash(
-  table_view const& input,
-  hash_id hash_function               = hash_id::HASH_MURMUR3,
-  uint32_t seed                       = cudf::DEFAULT_HASH_SEED,
-  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
-  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
+std::unique_ptr<column> hash(table_view const& input,
+                             hash_id hash_function,
+                             uint32_t seed,
+                             rmm::cuda_stream_view stream,
+                             rmm::mr::device_memory_resource* mr);
 
-std::unique_ptr<column> murmur_hash3_32(
-  table_view const& input,
-  uint32_t seed                       = cudf::DEFAULT_HASH_SEED,
-  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
-  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
+std::unique_ptr<column> murmur_hash3_32(table_view const& input,
+                                        uint32_t seed,
+                                        rmm::cuda_stream_view,
+                                        rmm::mr::device_memory_resource* mr);
 
-std::unique_ptr<column> spark_murmur_hash3_32(
-  table_view const& input,
-  uint32_t seed                       = cudf::DEFAULT_HASH_SEED,
-  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
-  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
+std::unique_ptr<column> spark_murmur_hash3_32(table_view const& input,
+                                              uint32_t seed,
+                                              rmm::cuda_stream_view,
+                                              rmm::mr::device_memory_resource* mr);
 
-std::unique_ptr<column> md5_hash(
-  table_view const& input,
-  rmm::cuda_stream_view stream,
-  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
+std::unique_ptr<column> md5_hash(table_view const& input,
+                                 rmm::cuda_stream_view stream,
+                                 rmm::mr::device_memory_resource* mr);
 
 /* Copyright 2005-2014 Daniel James.
  *

cpp/include/cudf/detail/interop.hpp

@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2020-2022, NVIDIA CORPORATION.
+ * Copyright (c) 2020-2023, NVIDIA CORPORATION.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -111,9 +111,9 @@ data_type arrow_to_cudf_type(arrow::DataType const& arrow_type);
  * @param stream CUDA stream used for device memory operations and kernel launches.
  */
 std::shared_ptr<arrow::Table> to_arrow(table_view input,
-                                       std::vector<column_metadata> const& metadata = {},
-                                       rmm::cuda_stream_view stream = cudf::get_default_stream(),
-                                       arrow::MemoryPool* ar_mr     = arrow::default_memory_pool());
+                                       std::vector<column_metadata> const& metadata,
+                                       rmm::cuda_stream_view stream,
+                                       arrow::MemoryPool* ar_mr);
 
 /**
  * @copydoc cudf::arrow_to_cudf