Files
file	binaryop.hpp
	Column APIs for binary ops.

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...

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=cudf::get_current_device_resource_ref())
	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=cudf::get_current_device_resource_ref())
	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=cudf::get_current_device_resource_ref())
	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=cudf::get_current_device_resource_ref())
	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...

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

Enumeration Type Documentation

◆ binary_operator

enum cudf::binary_operator : int32_t

strong

Types of binary operations that can be performed on data.

Enumerator
ADD	operator +
SUB	operator -
MUL	operator *
DIV	operator / using common type of lhs and rhs
TRUE_DIV	operator / after promoting type to floating point
FLOOR_DIV	operator // integer division rounding towards negative infinity if both arguments are integral; floor division for floating types (using C++ type promotion for mixed integral/floating arguments) If different promotion semantics are required, it is the responsibility of the caller to promote manually before calling in to this function.
MOD	operator %
PMOD	positive modulo operator If remainder is negative, this returns (remainder + divisor) % divisor else, it returns (dividend % divisor)
PYMOD	operator % but following Python's sign rules for negatives
POW	lhs ^ rhs
INT_POW	int ^ int, used to avoid floating point precision loss. Returns 0 for negative exponents.
LOG_BASE	logarithm to the base
ATAN2	2-argument arctangent
SHIFT_LEFT	operator <<
SHIFT_RIGHT	operator >>
SHIFT_RIGHT_UNSIGNED	operator >>> (from Java) Logical right shift. Casts to an unsigned value before shifting.
BITWISE_AND	operator &
BITWISE_OR	operator \|
BITWISE_XOR	operator ^
LOGICAL_AND	operator &&
LOGICAL_OR	operator \|\|
EQUAL	operator ==
NOT_EQUAL	operator !=
LESS	operator <
GREATER	operator >
LESS_EQUAL	operator <=
GREATER_EQUAL	operator >=
NULL_EQUALS	Returns true when both operands are null; false when one is null; the result of equality when both are non-null
NULL_NOT_EQUALS	Returns false when both operands are null; true when one is null; the result of inequality when both are non-null
NULL_MAX	Returns max of operands when both are non-null; returns the non-null operand when one is null; or invalid when both are null
NULL_MIN	Returns min of operands when both are non-null; returns the non-null operand when one is null; or invalid when both are null
GENERIC_BINARY	generic binary operator to be generated with input ptx code
NULL_LOGICAL_AND	operator && with Spark rules: (null, null) is null, (null, true) is null, (null, false) is false, and (valid, valid) == LOGICAL_AND(valid, valid)
NULL_LOGICAL_OR	operator \|\| with Spark rules: (null, null) is null, (null, true) is true, (null, false) is null, and (valid, valid) == LOGICAL_OR(valid, valid)
INVALID_BINARY	invalid operation

Definition at line 27 of file binaryop.hpp.

Function Documentation

◆ binary_operation() [1/4]

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 = `cudf::get_current_device_resource_ref()`
	)

Performs a binary operation between two columns.

The output contains the result of op(lhs[i], rhs[i]) for all 0 <= i < lhs.size()

Regardless of the operator, the validity of the output value is the logical AND of the validity of the two operands except NullMin and NullMax (logical OR).

Parameters

lhs	The left operand column
rhs	The right operand column
op	The binary operator
output_type	The desired data type of the output column
stream	CUDA stream used for device memory operations and kernel launches
mr	Device memory resource used to allocate the returned column's device memory

Returns: Output column of output_type type containing the result of the binary operation

Exceptions

cudf::logic_error	if `lhs` and `rhs` are different sizes
cudf::logic_error	if `output_type` dtype isn't boolean for comparison and logical operations.
cudf::logic_error	if `output_type` dtype isn't fixed-width
cudf::data_type_error	if the operation is not supported for the types of `lhs` and `rhs`

◆ binary_operation() [2/4]

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 = `cudf::get_current_device_resource_ref()`
	)

Performs a binary operation between two columns using a user-defined PTX function.

The output contains the result of op(lhs[i], rhs[i]) for all 0 <= i < lhs.size()

Regardless of the operator, the validity of the output value is the logical AND of the validity of the two operands

Parameters

lhs	The left operand column
rhs	The right operand column
ptx	String containing the PTX of a binary function
output_type	The desired data type of the output column. It is assumed that output_type is compatible with the output data type of the function in the PTX code
stream	CUDA stream used for device memory operations and kernel launches
mr	Device memory resource used to allocate the returned column's device memory

Returns: Output column of output_type type containing the result of the binary operation

Exceptions

cudf::logic_error	if `lhs` and `rhs` are different sizes
cudf::logic_error	if `lhs` and `rhs` dtypes aren't numeric
cudf::logic_error	if `output_type` dtype isn't numeric

◆ binary_operation() [3/4]

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 = `cudf::get_current_device_resource_ref()`
	)

Performs a binary operation between a column and a scalar.

The output contains the result of op(lhs[i], rhs) for all 0 <= i < lhs.size() The column elements are the left operand and the scalar is the right operand. This distinction is significant in case of non-commutative binary operations

Regardless of the operator, the validity of the output value is the logical AND of the validity of the two operands except NullMin and NullMax (logical OR).

Parameters

lhs	The left operand column
rhs	The right operand scalar
op	The binary operator
output_type	The desired data type of the output column
stream	CUDA stream used for device memory operations and kernel launches
mr	Device memory resource used to allocate the returned column's device memory

Returns: Output column of output_type type containing the result of the binary operation

Exceptions

cudf::logic_error	if `output_type` dtype isn't fixed-width
cudf::logic_error	if `output_type` dtype isn't boolean for comparison and logical operations.
cudf::data_type_error	if the operation is not supported for the types of `lhs` and `rhs`

◆ binary_operation() [4/4]

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 = `cudf::get_current_device_resource_ref()`
	)

Performs a binary operation between a scalar and a column.

The output contains the result of op(lhs, rhs[i]) for all 0 <= i < rhs.size() The scalar is the left operand and the column elements are the right operand. This distinction is significant in case of non-commutative binary operations

Regardless of the operator, the validity of the output value is the logical AND of the validity of the two operands except NullMin and NullMax (logical OR).

Parameters

lhs	The left operand scalar
rhs	The right operand column
op	The binary operator
output_type	The desired data type of the output column
stream	CUDA stream used for device memory operations and kernel launches
mr	Device memory resource used to allocate the returned column's device memory

Returns: Output column of output_type type containing the result of the binary operation

Exceptions

cudf::logic_error	if `output_type` dtype isn't fixed-width
cudf::logic_error	if `output_type` dtype isn't boolean for comparison and logical operations.
cudf::data_type_error	if the operation is not supported for the types of `lhs` and `rhs`

◆ binary_operation_fixed_point_output_type()

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

Parameters

op	The binary_operator used for two `fixed_point` numbers
lhs	`cudf::data_type` of left `fixed_point` number
rhs	`cudf::data_type` of right `fixed_point` number

Returns: The resulting cudf::data_type of the computed fixed_point number

◆ binary_operation_fixed_point_scale()

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

Parameters

op	The binary_operator used for two `fixed_point` numbers
left_scale	Scale of left `fixed_point` number
right_scale	Scale of right `fixed_point` number

Returns: The resulting scale of the computed fixed_point number

◆ 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

Variable Documentation

◆ binary_op_has_common_type_v

template<typename L , typename R >

constexpr bool cudf::binary_op_has_common_type_v

inlineconstexpr

Initial value:

=

detail::binary_op_has_common_type_impl<void, L, R>::value

Checks if binary operation types have a common type.

Definition at line 129 of file binaryop.hpp.

Files

Classes

Typedefs

Enumerations

Functions

Variables

Detailed Description

Enumeration Type Documentation

◆ binary_operator

Function Documentation

◆ binary_operation() [1/4]

◆ binary_operation() [2/4]

◆ binary_operation() [3/4]

◆ binary_operation() [4/4]

◆ binary_operation_fixed_point_output_type()

◆ binary_operation_fixed_point_scale()

◆ is_supported_operation()

Variable Documentation

◆ binary_op_has_common_type_v