binaryop.hpp File Reference

Column APIs for binary ops. More...

#include <cudf/column/column.hpp>
#include <cudf/scalar/scalar.hpp>
#include <cudf/utilities/export.hpp>
#include <rmm/mr/device/per_device_resource.hpp>
#include <rmm/resource_ref.hpp>
#include <memory>

Go to the source code of this file.

Classes
struct	cudf::binary_op_common_type< L, R, typename >
	Binary operation common type default. More...
struct	cudf::binary_op_common_type< L, R, std::enable_if_t< has_common_type_v< L, R > > >
	Binary operation common type specialization. More...

Namespaces
	cudf
	cuDF interfaces

Typedefs
template<typename L , typename R >
using	cudf::binary_op_common_type_t = typename binary_op_common_type< L, R >::type
	Binary operation common type helper.

Enumerations
enum class	cudf::binary_operator : int32_t {   cudf::ADD , cudf::SUB , cudf::MUL , cudf::DIV ,   cudf::TRUE_DIV , cudf::FLOOR_DIV , cudf::MOD , cudf::PMOD ,   cudf::PYMOD , cudf::POW , cudf::INT_POW , cudf::LOG_BASE ,   cudf::ATAN2 , cudf::SHIFT_LEFT , cudf::SHIFT_RIGHT , cudf::SHIFT_RIGHT_UNSIGNED ,   cudf::BITWISE_AND , cudf::BITWISE_OR , cudf::BITWISE_XOR , cudf::LOGICAL_AND ,   cudf::LOGICAL_OR , cudf::EQUAL , cudf::NOT_EQUAL , cudf::LESS ,   cudf::GREATER , cudf::LESS_EQUAL , cudf::GREATER_EQUAL , cudf::NULL_EQUALS ,   cudf::NULL_NOT_EQUALS , cudf::NULL_MAX , cudf::NULL_MIN , cudf::GENERIC_BINARY ,   cudf::NULL_LOGICAL_AND , cudf::NULL_LOGICAL_OR , cudf::INVALID_BINARY }
	Types of binary operations that can be performed on data. More...

Functions
std::unique_ptr< column >	cudf::binary_operation (scalar const &lhs, column_view const &rhs, binary_operator op, data_type output_type, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Performs a binary operation between a scalar and a column. More...
std::unique_ptr< column >	cudf::binary_operation (column_view const &lhs, scalar const &rhs, binary_operator op, data_type output_type, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Performs a binary operation between a column and a scalar. More...
std::unique_ptr< column >	cudf::binary_operation (column_view const &lhs, column_view const &rhs, binary_operator op, data_type output_type, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Performs a binary operation between two columns. More...
std::unique_ptr< column >	cudf::binary_operation (column_view const &lhs, column_view const &rhs, std::string const &ptx, data_type output_type, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Performs a binary operation between two columns using a user-defined PTX function. More...
int32_t	cudf::binary_operation_fixed_point_scale (binary_operator op, int32_t left_scale, int32_t right_scale)
	Computes the scale for a fixed_point number based on given binary operator op More...
cudf::data_type	cudf::binary_operation_fixed_point_output_type (binary_operator op, cudf::data_type const &lhs, cudf::data_type const &rhs)
	Computes the data_type for a fixed_point number based on given binary operator op More...
bool	cudf::binops::is_supported_operation (data_type out, data_type lhs, data_type rhs, binary_operator op)
	Returns true if the binary operator is supported for the given input types. More...
std::pair< rmm::device_buffer, size_type >	cudf::binops::scalar_col_valid_mask_and (column_view const &col, scalar const &s, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Computes output valid mask for op between a column and a scalar. More...
void	cudf::binops::compiled::detail::apply_sorting_struct_binary_op (mutable_column_view &out, column_view const &lhs, column_view const &rhs, bool is_lhs_scalar, bool is_rhs_scalar, binary_operator op, rmm::cuda_stream_view stream)
	struct binary operation using NaN aware sorting physical element comparators More...

Variables
template<typename L , typename R >
constexpr bool	cudf::binary_op_has_common_type_v
	Checks if binary operation types have a common type. More...

Detailed Description

Column APIs for binary ops.

Definition in file binaryop.hpp.

Function Documentation

apply_sorting_struct_binary_op()

void cudf::binops::compiled::detail::apply_sorting_struct_binary_op	(	mutable_column_view &	out,
		column_view const &	lhs,
		column_view const &	rhs,
		bool	is_lhs_scalar,
		bool	is_rhs_scalar,
		binary_operator	op,
		rmm::cuda_stream_view	stream
	)

struct binary operation using NaN aware sorting physical element comparators

Parameters

out	mutable view of output column
lhs	view of left operand column
rhs	view of right operand column
is_lhs_scalar	true if lhs is a single element column representing a scalar
is_rhs_scalar	true if rhs is a single element column representing a scalar
op	binary operator identifier
stream	CUDA stream used for device memory operations

is_supported_operation()

bool cudf::binops::is_supported_operation	(	data_type	out,
		data_type	lhs,
		data_type	rhs,
		binary_operator	op
	)

Returns true if the binary operator is supported for the given input types.

Parameters

out	The output data type
lhs	The left-hand cudf::data_type
rhs	The right-hand cudf::data_type
op	The binary operator

Returns

true if the binary operator is supported for the given input types

scalar_col_valid_mask_and()

std::pair<rmm::device_buffer, size_type> cudf::binops::scalar_col_valid_mask_and	(	column_view const &	col,
		scalar const &	s,
		rmm::cuda_stream_view	stream = cudf::get_default_stream(),
		rmm::device_async_resource_ref	mr = rmm::mr::get_current_device_resource()
	)

Computes output valid mask for op between a column and a scalar.

Parameters

col	Column to compute the valid mask from
s	Scalar to compute the valid mask from
stream	CUDA stream used for device memory operations and kernel launches
mr	Device memory resource used to allocate the returned valid mask

Returns

Computed validity mask