Add row conversion code from spark-rapids-jni (rapidsai#14664)

This temporarily moves the row conversion code from spark-rapids-jni into libcudf. It is necessary to have the row conversion code compiled in a static library to overcome a CCCL issue that triggers invalid memory access when calling to `thrust::in(ex)clusive_scan` (NVIDIA/spark-rapids-jni#1567).

In the future, when we have CCCL updated to fix the issue (1567), we may need to move the code back into spark-rapids-jni.

Authors:
  - Nghia Truong (https://github.com/ttnghia)

Approvers:
  - Mike Wilson (https://github.com/hyperbolic2346)
  - Vyas Ramasubramani (https://github.com/vyasr)
  - MithunR (https://github.com/mythrocks)

URL: rapidsai#14664

cpp/CMakeLists.txt

@@ -628,6 +628,7 @@ add_library(
   src/transform/nans_to_nulls.cu
   src/transform/one_hot_encode.cu
   src/transform/row_bit_count.cu
+  src/transform/row_conversion.cu
   src/transform/transform.cpp
   src/transpose/transpose.cu
   src/unary/cast_ops.cu

cpp/include/cudf/row_conversion.hpp

@@ -0,0 +1,54 @@
+/*
+ * Copyright (c) 2022-2023, NVIDIA CORPORATION.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#pragma once
+
+#include <memory>
+
+#include <cudf/lists/lists_column_view.hpp>
+#include <cudf/table/table_view.hpp>
+#include <cudf/utilities/default_stream.hpp>
+#include <rmm/cuda_stream_view.hpp>
+
+namespace cudf {
+//! @cond Doxygen_Suppress
+
+std::vector<std::unique_ptr<cudf::column>> convert_to_rows_fixed_width_optimized(
+  cudf::table_view const& tbl,
+  // TODO need something for validity
+  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
+  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
+
+std::vector<std::unique_ptr<cudf::column>> convert_to_rows(
+  cudf::table_view const& tbl,
+  // TODO need something for validity
+  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
+  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
+
+std::unique_ptr<cudf::table> convert_from_rows_fixed_width_optimized(
+  cudf::lists_column_view const& input,
+  std::vector<cudf::data_type> const& schema,
+  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
+  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
+
+std::unique_ptr<cudf::table> convert_from_rows(
+  cudf::lists_column_view const& input,
+  std::vector<cudf::data_type> const& schema,
+  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
+  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
+
+//! @endcond
+}  // namespace cudf

cpp/tests/CMakeLists.txt

@@ -257,6 +257,8 @@ ConfigureTest(
   transform/one_hot_encode_tests.cpp
 )
 
+ConfigureTest(ROW_CONVERSION_TEST transform/row_conversion.cpp)
+
 # ##################################################################################################
 # * interop tests -------------------------------------------------------------------------
 ConfigureTest(