Revert "Switch rmm::get_current_device_resource to use references via rmm::get_current_device_resource_ref"

src/main/cpp/src/bloom_filter.hpp

@@ -48,7 +48,7 @@ std::unique_ptr<cudf::list_scalar> bloom_filter_create(
   int num_hashes,
   int bloom_filter_longs,
   rmm::cuda_stream_view stream      = cudf::get_default_stream(),
-  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource_ref());
+  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
 /**
  * @brief Inserts input values into a bloom filter.
@@ -79,7 +79,7 @@ std::unique_ptr<cudf::column> bloom_filter_probe(
   cudf::column_view const& input,
   cudf::device_span<uint8_t const> bloom_filter,
   rmm::cuda_stream_view stream      = cudf::get_default_stream(),
-  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource_ref());
+  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
 /**
  * @brief Probe a bloom filter with an input column of int64_t values.
@@ -96,7 +96,7 @@ std::unique_ptr<cudf::column> bloom_filter_probe(
   cudf::column_view const& input,
   cudf::list_scalar& bloom_filter,
   rmm::cuda_stream_view stream      = cudf::get_default_stream(),
-  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource_ref());
+  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
 /**
  * @brief Merge multiple bloom filters into a single output.
@@ -114,6 +114,6 @@ std::unique_ptr<cudf::column> bloom_filter_probe(
 std::unique_ptr<cudf::list_scalar> bloom_filter_merge(
   cudf::column_view const& bloom_filters,
   rmm::cuda_stream_view stream      = cudf::get_default_stream(),
-  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource_ref());
+  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
 }  // namespace spark_rapids_jni

src/main/cpp/src/case_when.hpp

@@ -48,6 +48,6 @@ namespace spark_rapids_jni {
 std::unique_ptr<cudf::column> select_first_true_index(
   cudf::table_view const& when_bool_columns,
   rmm::cuda_stream_view stream      = cudf::get_default_stream(),
-  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource_ref());
+  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
 }  // namespace spark_rapids_jni

src/main/cpp/src/cast_string.hpp

@@ -75,7 +75,7 @@ std::unique_ptr<cudf::column> string_to_integer(
   bool ansi_mode,
   bool strip,
   rmm::cuda_stream_view stream,
-  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource_ref());
+  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
 /**
  * @brief Convert a string column into an decimal column.
@@ -97,7 +97,7 @@ std::unique_ptr<cudf::column> string_to_decimal(
   bool ansi_mode,
   bool strip,
   rmm::cuda_stream_view stream,
-  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource_ref());
+  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
 /**
  * @brief Convert a string column into an float column.
@@ -115,22 +115,22 @@ std::unique_ptr<cudf::column> string_to_float(
   cudf::strings_column_view const& string_col,
   bool ansi_mode,
   rmm::cuda_stream_view stream,
-  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource_ref());
+  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
 std::unique_ptr<cudf::column> format_float(
   cudf::column_view const& input,
   int const digits,
   rmm::cuda_stream_view stream,
-  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource_ref());
+  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
 std::unique_ptr<cudf::column> float_to_string(
   cudf::column_view const& input,
   rmm::cuda_stream_view stream,
-  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource_ref());
+  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
 std::unique_ptr<cudf::column> decimal_to_non_ansi_string(
   cudf::column_view const& input,
   rmm::cuda_stream_view stream,
-  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource_ref());
+  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
 }  // namespace spark_rapids_jni

src/main/cpp/src/decimal_utils.cu

@@ -991,7 +991,7 @@ std::unique_ptr<cudf::table> multiply_decimal128(cudf::column_view const& a,
   auto const num_rows = a.size();
   CUDF_EXPECTS(num_rows == b.size(), "inputs have mismatched row counts");
   auto [result_null_mask, result_null_count] = cudf::detail::bitmask_and(
-    cudf::table_view{{a, b}}, stream, rmm::mr::get_current_device_resource_ref());
+    cudf::table_view{{a, b}}, stream, rmm::mr::get_current_device_resource());
   std::vector<std::unique_ptr<cudf::column>> columns;
   // copy the null mask here, as it will be used again later
   columns.push_back(cudf::make_fixed_width_column(cudf::data_type{cudf::type_id::BOOL8},
@@ -1026,7 +1026,7 @@ std::unique_ptr<cudf::table> divide_decimal128(cudf::column_view const& a,
   auto const num_rows = a.size();
   CUDF_EXPECTS(num_rows == b.size(), "inputs have mismatched row counts");
   auto [result_null_mask, result_null_count] = cudf::detail::bitmask_and(
-    cudf::table_view{{a, b}}, stream, rmm::mr::get_current_device_resource_ref());
+    cudf::table_view{{a, b}}, stream, rmm::mr::get_current_device_resource());
   std::vector<std::unique_ptr<cudf::column>> columns;
   // copy the null mask here, as it will be used again later
   columns.push_back(cudf::make_fixed_width_column(cudf::data_type{cudf::type_id::BOOL8},
@@ -1060,7 +1060,7 @@ std::unique_ptr<cudf::table> integer_divide_decimal128(cudf::column_view const&
   auto const num_rows = a.size();
   CUDF_EXPECTS(num_rows == b.size(), "inputs have mismatched row counts");
   auto [result_null_mask, result_null_count] = cudf::detail::bitmask_and(
-    cudf::table_view{{a, b}}, stream, rmm::mr::get_current_device_resource_ref());
+    cudf::table_view{{a, b}}, stream, rmm::mr::get_current_device_resource());
   std::vector<std::unique_ptr<cudf::column>> columns;
   // copy the null mask here, as it will be used again later
   columns.push_back(cudf::make_fixed_width_column(cudf::data_type{cudf::type_id::BOOL8},
@@ -1093,7 +1093,7 @@ std::unique_ptr<cudf::table> remainder_decimal128(cudf::column_view const& a,
   auto const num_rows = a.size();
   CUDF_EXPECTS(num_rows == b.size(), "inputs have mismatched row counts");
   auto [result_null_mask, result_null_count] = cudf::detail::bitmask_and(
-    cudf::table_view{{a, b}}, stream, rmm::mr::get_current_device_resource_ref());
+    cudf::table_view{{a, b}}, stream, rmm::mr::get_current_device_resource());
   std::vector<std::unique_ptr<cudf::column>> columns;
   // copy the null mask here, as it will be used again later
   columns.push_back(cudf::make_fixed_width_column(cudf::data_type{cudf::type_id::BOOL8},
@@ -1126,7 +1126,7 @@ std::unique_ptr<cudf::table> add_decimal128(cudf::column_view const& a,
   auto const num_rows = a.size();
   CUDF_EXPECTS(num_rows == b.size(), "inputs have mismatched row counts");
   auto [result_null_mask, result_null_count] = cudf::detail::bitmask_and(
-    cudf::table_view{{a, b}}, stream, rmm::mr::get_current_device_resource_ref());
+    cudf::table_view{{a, b}}, stream, rmm::mr::get_current_device_resource());
   std::vector<std::unique_ptr<cudf::column>> columns;
   // copy the null mask here, as it will be used again later
   columns.push_back(cudf::make_fixed_width_column(cudf::data_type{cudf::type_id::BOOL8},
@@ -1159,7 +1159,7 @@ std::unique_ptr<cudf::table> sub_decimal128(cudf::column_view const& a,
   auto const num_rows = a.size();
   CUDF_EXPECTS(num_rows == b.size(), "inputs have mismatched row counts");
   auto [result_null_mask, result_null_count] = cudf::detail::bitmask_and(
-    cudf::table_view{{a, b}}, stream, rmm::mr::get_current_device_resource_ref());
+    cudf::table_view{{a, b}}, stream, rmm::mr::get_current_device_resource());
   std::vector<std::unique_ptr<cudf::column>> columns;
   // copy the null mask here, as it will be used again later
   columns.push_back(cudf::make_fixed_width_column(cudf::data_type{cudf::type_id::BOOL8},
@@ -1410,7 +1410,7 @@ std::pair<std::unique_ptr<cudf::column>, bool> floating_point_to_decimal(
     output_type, input.size(), cudf::mask_state::UNALLOCATED, stream, mr);
 
   auto const decimal_places = -output_type.scale();
-  auto const default_mr     = rmm::mr::get_current_device_resource_ref();
+  auto const default_mr     = rmm::mr::get_current_device_resource();
 
   rmm::device_uvector<int8_t> validity(input.size(), stream, default_mr);
   rmm::device_scalar<bool> has_failure(false, stream, default_mr);

src/main/cpp/src/decimal_utils.hpp

@@ -79,6 +79,6 @@ std::pair<std::unique_ptr<cudf::column>, bool> floating_point_to_decimal(
   cudf::data_type output_type,
   int32_t precision,
   rmm::cuda_stream_view stream      = cudf::get_default_stream(),
-  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource_ref());
+  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
 }  // namespace cudf::jni

src/main/cpp/src/from_json.hpp

@@ -29,6 +29,6 @@ namespace spark_rapids_jni {
 std::unique_ptr<cudf::column> from_json_to_raw_map(
   cudf::strings_column_view const& input,
   rmm::cuda_stream_view stream      = cudf::get_default_stream(),
-  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource_ref());
+  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
 }  // namespace spark_rapids_jni

src/main/cpp/src/from_json_to_raw_map.cu

@@ -64,7 +64,7 @@ rmm::device_uvector<char> unify_json_strings(cudf::strings_column_view const& in
 {
   if (input.is_empty()) {
     return cudf::detail::make_device_uvector_async<char>(
-      std::vector<char>{'[', ']'}, stream, rmm::mr::get_current_device_resource_ref());
+      std::vector<char>{'[', ']'}, stream, rmm::mr::get_current_device_resource());
   }
 
   auto const d_strings  = cudf::column_device_view::create(input.parent(), stream);
@@ -84,7 +84,7 @@ rmm::device_uvector<char> unify_json_strings(cudf::strings_column_view const& in
     cudf::string_scalar(","),   // append `,` character between the input rows
     cudf::string_scalar("{}"),  // replacement for null rows
     stream,
-    rmm::mr::get_current_device_resource_ref());
+    rmm::mr::get_current_device_resource());
   auto const joined_input_scv        = cudf::strings_column_view{*joined_input};
   auto const joined_input_size_bytes = joined_input_scv.chars_size(stream);
   // TODO: This assertion requires a stream synchronization, may want to remove at some point.
@@ -656,7 +656,7 @@ std::unique_ptr<cudf::column> from_json_to_raw_map(cudf::strings_column_view con
     cudf::device_span<char const>{unified_json_buff.data(), unified_json_buff.size()},
     cudf::io::json_reader_options{},
     stream,
-    rmm::mr::get_current_device_resource_ref());
+    rmm::mr::get_current_device_resource());
 
 #ifdef DEBUG_FROM_JSON
   print_debug(tokens, "Tokens", ", ", stream);

src/main/cpp/src/get_json_object.cu

@@ -959,7 +959,7 @@ construct_path_commands(
   d_path_commands.reserve(h_path_commands->size());
   for (auto const& path_commands : *h_path_commands) {
     d_path_commands.emplace_back(cudf::detail::make_device_uvector_async(
-      path_commands, stream, rmm::mr::get_current_device_resource_ref()));
+      path_commands, stream, rmm::mr::get_current_device_resource()));
   }
 
   return {std::move(d_path_commands),
@@ -1060,7 +1060,7 @@ std::vector<std::unique_ptr<cudf::column>> get_json_object_batch(
                                                        d_error_check.data() + idx});
   }
   auto d_path_data = cudf::detail::make_device_uvector_async(
-    h_path_data, stream, rmm::mr::get_current_device_resource_ref());
+    h_path_data, stream, rmm::mr::get_current_device_resource());
   thrust::uninitialized_fill(
     rmm::exec_policy(stream), d_error_check.begin(), d_error_check.end(), 0);
 
@@ -1130,7 +1130,7 @@ std::vector<std::unique_ptr<cudf::column>> get_json_object_batch(
 
   // Push data to the GPU and launch the kernel again.
   d_path_data = cudf::detail::make_device_uvector_async(
-    h_path_data, stream, rmm::mr::get_current_device_resource_ref());
+    h_path_data, stream, rmm::mr::get_current_device_resource());
   thrust::uninitialized_fill(
     rmm::exec_policy(stream), d_error_check.begin(), d_error_check.end(), 0);
   kernel_launcher::exec(input, d_path_data, d_max_path_depth_exceeded, stream);

src/main/cpp/src/get_json_object.hpp

@@ -45,7 +45,7 @@ std::unique_ptr<cudf::column> get_json_object(
   cudf::strings_column_view const& input,
   std::vector<std::tuple<path_instruction_type, std::string, int32_t>> const& instructions,
   rmm::cuda_stream_view stream      = cudf::get_default_stream(),
-  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource_ref());
+  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
 /**
  * @brief Extract multiple JSON objects from a JSON string based on the specified JSON paths.
@@ -67,6 +67,6 @@ std::vector<std::unique_ptr<cudf::column>> get_json_object_multiple_paths(
   int64_t memory_budget_bytes,
   int32_t parallel_override,
   rmm::cuda_stream_view stream      = cudf::get_default_stream(),
-  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource_ref());
+  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
 }  // namespace spark_rapids_jni

src/main/cpp/src/hash.hpp

@@ -40,7 +40,7 @@ std::unique_ptr<cudf::column> murmur_hash3_32(
   cudf::table_view const& input,
   uint32_t seed                     = 0,
   rmm::cuda_stream_view stream      = cudf::get_default_stream(),
-  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource_ref());
+  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
 /**
  * @brief Computes the xxhash64 hash value of each row in the input set of columns.
@@ -56,7 +56,7 @@ std::unique_ptr<cudf::column> xxhash64(
   cudf::table_view const& input,
   int64_t seed                      = DEFAULT_XXHASH64_SEED,
   rmm::cuda_stream_view stream      = cudf::get_default_stream(),
-  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource_ref());
+  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
 /**
  * @brief Computes the Hive hash value of each row in the input set of columns.
@@ -70,6 +70,6 @@ std::unique_ptr<cudf::column> xxhash64(
 std::unique_ptr<cudf::column> hive_hash(
   cudf::table_view const& input,
   rmm::cuda_stream_view stream      = cudf::get_default_stream(),
-  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource_ref());
+  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
 }  // namespace spark_rapids_jni

src/main/cpp/src/histogram.cu

@@ -191,8 +191,8 @@ struct percentile_dispatcher {
     // We may always have nulls in the output due to either:
     // - Having nulls in the input, and/or,
     // - Having empty histograms.
-    auto out_validities = rmm::device_uvector<int8_t>(
-      num_histograms, stream, rmm::mr::get_current_device_resource_ref());
+    auto out_validities =
+      rmm::device_uvector<int8_t>(num_histograms, stream, rmm::mr::get_current_device_resource());
 
     auto const fill_percentile = [&](auto const sorted_validity_it) {
       auto const sorted_input_it =
@@ -307,7 +307,7 @@ std::unique_ptr<cudf::column> create_histogram_if_valid(cudf::column_view const&
     }
   }
 
-  auto const default_mr = rmm::mr::get_current_device_resource_ref();
+  auto const default_mr = rmm::mr::get_current_device_resource();
 
   // We only check if there is any row in frequencies that are negative (invalid) or zero.
   auto check_invalid_and_zero =
@@ -439,7 +439,7 @@ std::unique_ptr<cudf::column> percentile_from_histogram(cudf::column_view const&
   auto const data_col       = cudf::structs_column_view{histograms}.get_sliced_child(0);
   auto const counts_col     = cudf::structs_column_view{histograms}.get_sliced_child(1);
 
-  auto const default_mr = rmm::mr::get_current_device_resource_ref();
+  auto const default_mr = rmm::mr::get_current_device_resource();
   auto const d_data     = cudf::column_device_view::create(data_col, stream);
   auto const d_percentages =
     cudf::detail::make_device_uvector_sync(percentages, stream, default_mr);

src/main/cpp/src/histogram.hpp

@@ -52,7 +52,7 @@ std::unique_ptr<cudf::column> create_histogram_if_valid(
   cudf::column_view const& frequencies,
   bool output_as_lists,
   rmm::cuda_stream_view stream      = cudf::get_default_stream(),
-  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource_ref());
+  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
 /**
  * @brief Compute percentiles from the given histograms and percentage values.
@@ -72,6 +72,6 @@ std::unique_ptr<cudf::column> percentile_from_histogram(
   std::vector<double> const& percentage,
   bool output_as_lists,
   rmm::cuda_stream_view stream      = cudf::get_default_stream(),
-  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource_ref());
+  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
 }  // namespace spark_rapids_jni

src/main/cpp/src/parse_uri.hpp

@@ -38,7 +38,7 @@ namespace spark_rapids_jni {
 std::unique_ptr<cudf::column> parse_uri_to_protocol(
   cudf::strings_column_view const& input,
   rmm::cuda_stream_view stream      = cudf::get_default_stream(),
-  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource_ref());
+  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
 /**
  * @brief Parse host and copy from the input string column to the output string column.
@@ -51,7 +51,7 @@ std::unique_ptr<cudf::column> parse_uri_to_protocol(
 std::unique_ptr<cudf::column> parse_uri_to_host(
   cudf::strings_column_view const& input,
   rmm::cuda_stream_view stream      = cudf::get_default_stream(),
-  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource_ref());
+  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
 /**
  * @brief Parse query and copy from the input string column to the output string column.
@@ -64,7 +64,7 @@ std::unique_ptr<cudf::column> parse_uri_to_host(
 std::unique_ptr<cudf::column> parse_uri_to_query(
   cudf::strings_column_view const& input,
   rmm::cuda_stream_view stream      = cudf::get_default_stream(),
-  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource_ref());
+  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
 /**
  * @brief Parse query and copy from the input string column to the output string column.
@@ -79,7 +79,7 @@ std::unique_ptr<cudf::column> parse_uri_to_query(
   cudf::strings_column_view const& input,
   std::string const& query_match,
   rmm::cuda_stream_view stream      = cudf::get_default_stream(),
-  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource_ref());
+  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
 /**
  * @brief Parse query and copy from the input string column to the output string column.
@@ -94,7 +94,7 @@ std::unique_ptr<cudf::column> parse_uri_to_query(
   cudf::strings_column_view const& input,
   cudf::strings_column_view const& query_match,
   rmm::cuda_stream_view stream      = cudf::get_default_stream(),
-  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource_ref());
+  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
 /**
  * @brief Parse path and copy from the input string column to the output string column.
@@ -107,6 +107,6 @@ std::unique_ptr<cudf::column> parse_uri_to_query(
 std::unique_ptr<cudf::column> parse_uri_to_path(
   cudf::strings_column_view const& input,
   rmm::cuda_stream_view stream      = cudf::get_default_stream(),
-  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource_ref());
+  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
 }  // namespace spark_rapids_jni

src/main/cpp/src/regex_rewrite_utils.hpp

@@ -41,5 +41,5 @@ std::unique_ptr<cudf::column> literal_range_pattern(
   int const start,
   int const end,
   rmm::cuda_stream_view stream      = rmm::cuda_stream_default,
-  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource_ref());
+  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 }  // namespace spark_rapids_jni