Expose stream parameter in public strings convert APIs

cpp/include/cudf/strings/convert/convert_booleans.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.
@@ -35,14 +35,16 @@ namespace strings {
  *
  * Any null entries will result in corresponding null entries in the output column.
  *
- * @param strings Strings instance for this operation.
- * @param true_string String to expect for true. Non-matching strings are false.
- * @param mr Device memory resource used to allocate the returned column's device memory.
- * @return New BOOL8 column converted from strings.
+ * @param input Strings instance for this operation
+ * @param true_string String to expect for true. Non-matching strings are false
+ * @param stream CUDA stream used for device memory operations and kernel launches
+ * @param mr Device memory resource used to allocate the returned column's device memory
+ * @return New BOOL8 column converted from strings
  */
 std::unique_ptr<column> to_booleans(
-  strings_column_view const& strings,
-  string_scalar const& true_string    = string_scalar("true"),
+  strings_column_view const& input,
+  string_scalar const& true_string,
+  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
   rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
 
 /**
@@ -53,16 +55,18 @@ std::unique_ptr<column> to_booleans(
  *
  * @throw cudf::logic_error if the input column is not BOOL8 type.
  *
- * @param booleans Boolean column to convert.
- * @param true_string String to use for true in the output column.
- * @param false_string String to use for false in the output column.
- * @param mr Device memory resource used to allocate the returned column's device memory.
- * @return New strings column.
+ * @param booleans Boolean column to convert
+ * @param true_string String to use for true in the output column
+ * @param false_string String to use for false in the output column
+ * @param stream CUDA stream used for device memory operations and kernel launches
+ * @param mr Device memory resource used to allocate the returned column's device memory
+ * @return New strings column
  */
 std::unique_ptr<column> from_booleans(
   column_view const& booleans,
-  string_scalar const& true_string    = string_scalar("true"),
-  string_scalar const& false_string   = string_scalar("false"),
+  string_scalar const& true_string,
+  string_scalar const& false_string,
+  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
   rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
 
 /** @} */  // end of doxygen group

cpp/include/cudf/strings/convert/convert_datetime.hpp

@@ -77,16 +77,18 @@ namespace strings {
  *
  * @throw cudf::logic_error if timestamp_type is not a timestamp type.
  *
- * @param strings Strings instance for this operation.
- * @param timestamp_type The timestamp type used for creating the output column.
- * @param format String specifying the timestamp format in strings.
- * @param mr Device memory resource used to allocate the returned column's device memory.
- * @return New datetime column.
+ * @param input Strings instance for this operation
+ * @param timestamp_type The timestamp type used for creating the output column
+ * @param format String specifying the timestamp format in strings
+ * @param stream CUDA stream used for device memory operations and kernel launches
+ * @param mr Device memory resource used to allocate the returned column's device memory
+ * @return New datetime column
  */
 std::unique_ptr<column> to_timestamps(
-  strings_column_view const& strings,
+  strings_column_view const& input,
   data_type timestamp_type,
   std::string_view format,
+  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
   rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
 
 /**
@@ -124,14 +126,16 @@ std::unique_ptr<column> to_timestamps(
  * This will return a column of type BOOL8 where a `true` row indicates the corresponding
  * input string can be parsed correctly with the given format.
  *
- * @param strings Strings instance for this operation.
- * @param format String specifying the timestamp format in strings.
- * @param mr Device memory resource used to allocate the returned column's device memory.
- * @return New BOOL8 column.
+ * @param input Strings instance for this operation
+ * @param format String specifying the timestamp format in strings
+ * @param stream CUDA stream used for device memory operations and kernel launches
+ * @param mr Device memory resource used to allocate the returned column's device memory
+ * @return New BOOL8 column
  */
 std::unique_ptr<column> is_timestamp(
-  strings_column_view const& strings,
+  strings_column_view const& input,
   std::string_view format,
+  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
   rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
 
 /**
@@ -231,19 +235,21 @@ std::unique_ptr<column> is_timestamp(
  * @throw cudf::logic_error if the `format` string is empty
  * @throw cudf::logic_error if `names.size()` is an invalid size. Must be 0 or 40 strings.
  *
- * @param timestamps Timestamp values to convert.
+ * @param timestamps Timestamp values to convert
  * @param format The string specifying output format.
  *        Default format is "%Y-%m-%dT%H:%M:%SZ".
  * @param names The string names to use for weekdays ("%a", "%A") and months ("%b", "%B")
  *        Default is an empty `strings_column_view`.
- * @param mr Device memory resource used to allocate the returned column's device memory.
- * @return New strings column with formatted timestamps.
+ * @param stream CUDA stream used for device memory operations and kernel launches
+ * @param mr Device memory resource used to allocate the returned column's device memory
+ * @return New strings column with formatted timestamps
  */
 std::unique_ptr<column> from_timestamps(
   column_view const& timestamps,
   std::string_view format             = "%Y-%m-%dT%H:%M:%SZ",
   strings_column_view const& names    = strings_column_view(column_view{
     data_type{type_id::STRING}, 0, nullptr, nullptr, 0}),
+  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
   rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
 
 /** @} */  // end of doxygen group

cpp/include/cudf/strings/convert/convert_durations.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.
@@ -65,16 +65,18 @@ namespace strings {
  *
  * @throw cudf::logic_error if duration_type is not a duration type.
  *
- * @param strings Strings instance for this operation.
- * @param duration_type The duration type used for creating the output column.
- * @param format String specifying the duration format in strings.
- * @param mr Device memory resource used to allocate the returned column's device memory.
- * @return New duration column.
+ * @param input Strings instance for this operation
+ * @param duration_type The duration type used for creating the output column
+ * @param format String specifying the duration format in strings
+ * @param stream CUDA stream used for device memory operations and kernel launches
+ * @param mr Device memory resource used to allocate the returned column's device memory
+ * @return New duration column
  */
 std::unique_ptr<column> to_durations(
-  strings_column_view const& strings,
+  strings_column_view const& input,
   data_type duration_type,
   std::string_view format,
+  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
   rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
 
 /**
@@ -115,15 +117,17 @@ std::unique_ptr<column> to_durations(
  *
  * @throw cudf::logic_error if `durations` column parameter is not a duration type.
  *
- * @param durations Duration values to convert.
+ * @param durations Duration values to convert
  * @param format The string specifying output format.
- *        Default format is ""%d days %H:%M:%S".
- * @param mr Device memory resource used to allocate the returned column's device memory.
- * @return New strings column with formatted durations.
+ *        Default format is ""%D days %H:%M:%S".
+ * @param mr Device memory resource used to allocate the returned column's device memory
+ * @param stream CUDA stream used for device memory operations and kernel launches
+ * @return New strings column with formatted durations
  */
 std::unique_ptr<column> from_durations(
   column_view const& durations,
   std::string_view format             = "%D days %H:%M:%S",
+  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
   rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
 
 /** @} */  // end of doxygen group

cpp/include/cudf/strings/convert/convert_fixed_point.hpp

@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -53,14 +53,16 @@ namespace strings {
  *
  * @throw cudf::logic_error if `output_type` is not a fixed-point decimal type.
  *
- * @param input Strings instance for this operation.
- * @param output_type Type of fixed-point column to return including the scale value.
- * @param mr Device memory resource used to allocate the returned column's device memory.
- * @return New column of `output_type`.
+ * @param input Strings instance for this operation
+ * @param output_type Type of fixed-point column to return including the scale value
+ * @param stream CUDA stream used for device memory operations and kernel launches
+ * @param mr Device memory resource used to allocate the returned column's device memory
+ * @return New column of `output_type`
  */
 std::unique_ptr<column> to_fixed_point(
   strings_column_view const& input,
   data_type output_type,
+  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
   rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
 
 /**
@@ -83,12 +85,14 @@ std::unique_ptr<column> to_fixed_point(
  *
  * @throw cudf::logic_error if the `input` column is not a fixed-point decimal type.
  *
- * @param input Fixed-point column to convert.
- * @param mr Device memory resource used to allocate the returned column's device memory.
- * @return New strings column.
+ * @param input Fixed-point column to convert
+ * @param stream CUDA stream used for device memory operations and kernel launches
+ * @param mr Device memory resource used to allocate the returned column's device memory
+ * @return New strings column
  */
 std::unique_ptr<column> from_fixed_point(
   column_view const& input,
+  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
   rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
 
 /**
@@ -111,14 +115,16 @@ std::unique_ptr<column> from_fixed_point(
  *
  * @throw cudf::logic_error if the `decimal_type` is not a fixed-point decimal type.
  *
- * @param input Strings instance for this operation.
- * @param decimal_type Fixed-point type (with scale) used only for checking overflow.
- * @param mr Device memory resource used to allocate the returned column's device memory.
- * @return New column of boolean results for each string.
+ * @param input Strings instance for this operation
+ * @param decimal_type Fixed-point type (with scale) used only for checking overflow
+ * @param stream CUDA stream used for device memory operations and kernel launches
+ * @param mr Device memory resource used to allocate the returned column's device memory
+ * @return New column of boolean results for each string
  */
 std::unique_ptr<column> is_fixed_point(
   strings_column_view const& input,
   data_type decimal_type              = data_type{type_id::DECIMAL64},
+  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
   rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
 
 /** @} */  // end of doxygen group

cpp/include/cudf/strings/convert/convert_floats.hpp

@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2021-2022, NVIDIA CORPORATION.
+ * Copyright (c) 2021-2023, NVIDIA CORPORATION.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -39,14 +39,16 @@ namespace strings {
  *
  * @throw cudf::logic_error if output_type is not float type.
  *
- * @param strings Strings instance for this operation.
- * @param output_type Type of float numeric column to return.
- * @param mr Device memory resource used to allocate the returned column's device memory.
- * @return New column with floats converted from strings.
+ * @param strings Strings instance for this operation
+ * @param output_type Type of float numeric column to return
+ * @param stream CUDA stream used for device memory operations and kernel launches
+ * @param mr Device memory resource used to allocate the returned column's device memory
+ * @return New column with floats converted from strings
  */
 std::unique_ptr<column> to_floats(
   strings_column_view const& strings,
   data_type output_type,
+  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
   rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
 
 /**
@@ -62,12 +64,14 @@ std::unique_ptr<column> to_floats(
  *
  * @throw cudf::logic_error if floats column is not float type.
  *
- * @param floats Numeric column to convert.
- * @param mr Device memory resource used to allocate the returned column's device memory.
- * @return New strings column with floats as strings.
+ * @param floats Numeric column to convert
+ * @param stream CUDA stream used for device memory operations and kernel launches
+ * @param mr Device memory resource used to allocate the returned column's device memory
+ * @return New strings column with floats as strings
  */
 std::unique_ptr<column> from_floats(
   column_view const& floats,
+  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
   rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
 
 /**
@@ -86,12 +90,14 @@ std::unique_ptr<column> from_floats(
  *
  * Any null row results in a null entry for that row in the output column.
  *
- * @param strings Strings instance for this operation.
- * @param mr Device memory resource used to allocate the returned column's device memory.
- * @return New column of boolean results for each string.
+ * @param input Strings instance for this operation
+ * @param stream CUDA stream used for device memory operations and kernel launches
+ * @param mr Device memory resource used to allocate the returned column's device memory
+ * @return New column of boolean results for each string
  */
 std::unique_ptr<column> is_float(
-  strings_column_view const& strings,
+  strings_column_view const& input,
+  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
   rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
 
 /** @} */  // end of doxygen group