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Math

math

The math dialect is intended to hold mathematical operations on integer and floating types beyond simple arithmetics.

See external documentation.

signlessIntegerLike = ContainerOf(AnyOf([SignlessIntegerConstraint, IndexType])) module-attribute

floatingPointLike = ContainerOf(AnyFloatConstr) module-attribute

Math = Dialect('math', [AbsFOp, AbsIOp, AcosOp, AcoshOp, AsinOp, AsinhOp, Atan2Op, AtanOp, AtanhOp, CbrtOp, CeilOp, CopySignOp, CosOp, CoshOp, CountLeadingZerosOp, CountTrailingZerosOp, CtPopOp, ErfOp, Exp2Op, ExpM1Op, ExpOp, FPowIOp, FloorOp, FmaOp, IPowIOp, Log10Op, Log1pOp, Log2Op, LogOp, PowFOp, RoundEvenOp, RoundOp, RsqrtOp, SinOp, SinhOp, SqrtOp, TanOp, TanhOp, TruncOp]) module-attribute

SignlessIntegerLikeUnaryMathOperation

Bases: IRDLOperation, ABC

A generic signless integer-like unary math operation.

Source code in xdsl/dialects/math.py 
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class SignlessIntegerLikeUnaryMathOperation(IRDLOperation, abc.ABC):
    """A generic signless integer-like unary math operation."""

    T: ClassVar = VarConstraint("T", signlessIntegerLike)

    operand = operand_def(T)
    result = result_def(T)

    assembly_format = "$operand attr-dict `:` type($result)"

    def __init__(self, operand: Operation | SSAValue):
        operand = SSAValue.get(operand)
        super().__init__(
            operands=[operand],
            result_types=[operand.type],
        )

T: ClassVar = VarConstraint('T', signlessIntegerLike) class-attribute instance-attribute

operand = operand_def(T) class-attribute instance-attribute

result = result_def(T) class-attribute instance-attribute

assembly_format = '$operand attr-dict `:` type($result)' class-attribute instance-attribute

__init__(operand: Operation | SSAValue)

Source code in xdsl/dialects/math.py 
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def __init__(self, operand: Operation | SSAValue):
    operand = SSAValue.get(operand)
    super().__init__(
        operands=[operand],
        result_types=[operand.type],
    )

FloatingPointLikeUnaryMathOperation

Bases: IRDLOperation, ABC

A generic floating-point-like unary math operation with fastmath flags.

Source code in xdsl/dialects/math.py 
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class FloatingPointLikeUnaryMathOperation(IRDLOperation, abc.ABC):
    """A generic floating-point-like unary math operation with fastmath flags."""

    T: ClassVar = VarConstraint("T", floatingPointLike)

    operand = operand_def(T)
    result = result_def(T)

    fastmath = prop_def(FastMathFlagsAttr, default_value=FastMathFlagsAttr("none"))

    assembly_format = "$operand (`fastmath` `` $fastmath^)? attr-dict `:` type($result)"

    def __init__(
        self, operand: Operation | SSAValue, fastmath: FastMathFlagsAttr | None = None
    ):
        operand = SSAValue.get(operand)
        super().__init__(
            properties={"fastmath": fastmath},
            operands=[operand],
            result_types=[operand.type],
        )

T: ClassVar = VarConstraint('T', floatingPointLike) class-attribute instance-attribute

operand = operand_def(T) class-attribute instance-attribute

result = result_def(T) class-attribute instance-attribute

fastmath = prop_def(FastMathFlagsAttr, default_value=(FastMathFlagsAttr('none'))) class-attribute instance-attribute

assembly_format = '$operand (`fastmath` `` $fastmath^)? attr-dict `:` type($result)' class-attribute instance-attribute

__init__(operand: Operation | SSAValue, fastmath: FastMathFlagsAttr | None = None)

Source code in xdsl/dialects/math.py 
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def __init__(
    self, operand: Operation | SSAValue, fastmath: FastMathFlagsAttr | None = None
):
    operand = SSAValue.get(operand)
    super().__init__(
        properties={"fastmath": fastmath},
        operands=[operand],
        result_types=[operand.type],
    )

SignlessIntegerLikeBinaryMathOperation

Bases: IRDLOperation, ABC

A generic signless integer-like binary math operation.

Source code in xdsl/dialects/math.py 
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class SignlessIntegerLikeBinaryMathOperation(IRDLOperation, abc.ABC):
    """A generic signless integer-like binary math operation."""

    T: ClassVar = VarConstraint("T", signlessIntegerLike)

    lhs = operand_def(T)
    rhs = operand_def(T)
    result = result_def(T)

    assembly_format = "$lhs `,` $rhs attr-dict `:` type($result)"

    def __init__(
        self,
        lhs: Operation | SSAValue,
        rhs: Operation | SSAValue,
    ):
        super().__init__(
            operands=[lhs, rhs],
            result_types=[SSAValue.get(lhs).type],
        )

T: ClassVar = VarConstraint('T', signlessIntegerLike) class-attribute instance-attribute

lhs = operand_def(T) class-attribute instance-attribute

rhs = operand_def(T) class-attribute instance-attribute

result = result_def(T) class-attribute instance-attribute

assembly_format = '$lhs `,` $rhs attr-dict `:` type($result)' class-attribute instance-attribute

__init__(lhs: Operation | SSAValue, rhs: Operation | SSAValue)

Source code in xdsl/dialects/math.py 
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def __init__(
    self,
    lhs: Operation | SSAValue,
    rhs: Operation | SSAValue,
):
    super().__init__(
        operands=[lhs, rhs],
        result_types=[SSAValue.get(lhs).type],
    )

FloatingPointLikeBinaryMathOperation

Bases: IRDLOperation, ABC

A generic floating-point-like binary math operation.

Source code in xdsl/dialects/math.py 
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class FloatingPointLikeBinaryMathOperation(IRDLOperation, abc.ABC):
    """A generic floating-point-like binary math operation."""

    T: ClassVar = VarConstraint("T", floatingPointLike)

    lhs = operand_def(T)
    rhs = operand_def(T)
    result = result_def(T)

    fastmath = prop_def(FastMathFlagsAttr, default_value=FastMathFlagsAttr("none"))

    assembly_format = (
        "$lhs `,` $rhs (`fastmath` `` $fastmath^)? attr-dict `:` type($result)"
    )

    def __init__(
        self,
        lhs: Operation | SSAValue,
        rhs: Operation | SSAValue,
        fastmath: FastMathFlagsAttr | None = None,
    ):
        super().__init__(
            properties={"fastmath": fastmath},
            operands=[lhs, rhs],
            result_types=[SSAValue.get(lhs).type],
        )

T: ClassVar = VarConstraint('T', floatingPointLike) class-attribute instance-attribute

lhs = operand_def(T) class-attribute instance-attribute

rhs = operand_def(T) class-attribute instance-attribute

result = result_def(T) class-attribute instance-attribute

fastmath = prop_def(FastMathFlagsAttr, default_value=(FastMathFlagsAttr('none'))) class-attribute instance-attribute

assembly_format = '$lhs `,` $rhs (`fastmath` `` $fastmath^)? attr-dict `:` type($result)' class-attribute instance-attribute

__init__(lhs: Operation | SSAValue, rhs: Operation | SSAValue, fastmath: FastMathFlagsAttr | None = None)

Source code in xdsl/dialects/math.py 
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def __init__(
    self,
    lhs: Operation | SSAValue,
    rhs: Operation | SSAValue,
    fastmath: FastMathFlagsAttr | None = None,
):
    super().__init__(
        properties={"fastmath": fastmath},
        operands=[lhs, rhs],
        result_types=[SSAValue.get(lhs).type],
    )

AbsFOp dataclass

Bases: FloatingPointLikeUnaryMathOperation

The absf operation computes the absolute value. It takes one operand of floating point type (i.e., scalar, tensor or vector) and returns one result of the same type.

Example:

// Scalar absolute value. %a = math.absf %b : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class AbsFOp(FloatingPointLikeUnaryMathOperation):
    """
    The absf operation computes the absolute value. It takes one operand of
    floating point type (i.e., scalar, tensor or vector) and returns one result
    of the same type.

    Example:

    // Scalar absolute value.
    %a = math.absf %b : f64
    """

    name = "math.absf"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.absf' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

AbsIOp dataclass

Bases: SignlessIntegerLikeUnaryMathOperation

The absi operation computes the absolute value. It takes one operand of integer type (i.e., scalar, tensor or vector) and returns one result of the same type.

Example:

// Scalar absolute value. %a = math.absi %b : i64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class AbsIOp(SignlessIntegerLikeUnaryMathOperation):
    """
    The absi operation computes the absolute value. It takes one operand of
    integer type (i.e., scalar, tensor or vector) and returns one result of the
    same type.

    Example:

    // Scalar absolute value.
    %a = math.absi %b : i64
    """

    name = "math.absi"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.absi' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

AcosOp dataclass

Bases: FloatingPointLikeUnaryMathOperation

Arcus cosine of the specified value

The acos operation computes the arcus cosine of a given value. It takes one operand of floating point type (i.e., scalar, tensor or vector) and returns one result of the same type. It has no standard attributes.

Example: // Scalar arcus cosine value. %a = math.acos %b : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class AcosOp(FloatingPointLikeUnaryMathOperation):
    """
    Arcus cosine of the specified value

    The acos operation computes the arcus cosine of a given value. It takes one
    operand of floating point type (i.e., scalar, tensor or vector) and returns
    one result of the same type. It has no standard attributes.

    Example:
    // Scalar arcus cosine value.
    %a = math.acos %b : f64
    """

    name = "math.acos"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.acos' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

AcoshOp dataclass

Bases: FloatingPointLikeUnaryMathOperation

Hyperbolic arcus cosine of the given value

The acosh operation computes the arcus cosine of a given value. It takes one operand of floating point type (i.e., scalar, tensor or vector) and returns one result of the same type. It has no standard attributes.

Example: // Hyperbolic arcus cosine of scalar value. %a = math.acosh %b : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class AcoshOp(FloatingPointLikeUnaryMathOperation):
    """
    Hyperbolic arcus cosine of the given value

    The acosh operation computes the arcus cosine of a given value. It takes
    one operand of floating point type (i.e., scalar, tensor or vector) and
    returns one result of the same type. It has no standard attributes.

    Example:
    // Hyperbolic arcus cosine of scalar value.
    %a = math.acosh %b : f64
    """

    name = "math.acosh"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.acosh' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

AsinOp dataclass

Bases: FloatingPointLikeUnaryMathOperation

Arcus sine of the given value

The asin operation computes the arcus sine of a given value. It takes one operand of floating point type (i.e., scalar, tensor or vector) and returns one result of the same type. It has no standard attributes.

Example: // Arcus sine of scalar value. %a = math.asin %b : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class AsinOp(FloatingPointLikeUnaryMathOperation):
    """
    Arcus sine of the given value

    The asin operation computes the arcus sine of a given value. It takes one
    operand of floating point type (i.e., scalar, tensor or vector) and returns
    one result of the same type. It has no standard attributes.

    Example:
    // Arcus sine of scalar value.
    %a = math.asin %b : f64
    """

    name = "math.asin"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.asin' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

AsinhOp dataclass

Bases: FloatingPointLikeUnaryMathOperation

Hyperbolic arcus sine of the given value

The asinh operation computes the hyperbolic arcus sine of a given value. It takes one operand of floating point type (i.e., scalar, tensor or vector) and returns one result of the same type. It has no standard attributes.

Example: // Hyperbolic arcus sine of scalar value. %a = math.asinh %b : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class AsinhOp(FloatingPointLikeUnaryMathOperation):
    """
    Hyperbolic arcus sine of the given value

    The asinh operation computes the hyperbolic arcus sine of a given value. It
    takes one operand of floating point type (i.e., scalar, tensor or vector) and
    returns one result of the same type. It has no standard attributes.

    Example:
    // Hyperbolic arcus sine of scalar value.
    %a = math.asinh %b : f64
    """

    name = "math.asinh"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.asinh' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

AtanhOp dataclass

Bases: FloatingPointLikeUnaryMathOperation

Hyperbolic arcus tangent of the given value

The atanh operation computes the hyperbolic arcus tangent of a given value. It takes one operand of floating point type (i.e., scalar, tensor or vector) and returns one result of the same type. It has no standard attributes.

Example: // Hyperbolic arcus tangent of scalar value. %a = math.atanh %b : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class AtanhOp(FloatingPointLikeUnaryMathOperation):
    """
    Hyperbolic arcus tangent of the given value

    The atanh operation computes the hyperbolic arcus tangent of a given value. It
    takes one operand of floating point type (i.e., scalar, tensor or vector) and
    returns one result of the same type. It has no standard attributes.

    Example:
    // Hyperbolic arcus tangent of scalar value.
    %a = math.atanh %b : f64
    """

    name = "math.atanh"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.atanh' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

Atan2Op dataclass

Bases: FloatingPointLikeBinaryMathOperation

The atan2 operation takes two operands and returns one result, all of which must be of the same type. The operands must be of floating point type (i.e., scalar, tensor or vector).

The 2-argument arcus tangent atan2(y, x) returns the angle in the Euclidian plane between the positive x-axis and the ray through the point (x, y). It is a generalization of the 1-argument arcus tangent which returns the angle on the basis of the ratio y/x.

See also wikipedia.

Example:

// Scalar variant. %a = math.atan2 %b, %c : f32

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class Atan2Op(FloatingPointLikeBinaryMathOperation):
    """
    The atan2 operation takes two operands and returns one result, all of
    which must be of the same type.  The operands must be of floating point type
    (i.e., scalar, tensor or vector).

    The 2-argument arcus tangent `atan2(y, x)` returns the angle in the
    Euclidian plane between the positive x-axis and the ray through the point
    (x, y).  It is a generalization of the 1-argument arcus tangent which
    returns the angle on the basis of the ratio y/x.

    See also [wikipedia](https://en.wikipedia.org/wiki/Atan2).

    Example:

    // Scalar variant.
    %a = math.atan2 %b, %c : f32
    """

    name = "math.atan2"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.atan2' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

AtanOp dataclass

Bases: FloatingPointLikeUnaryMathOperation

The atan operation computes the arcus tangent of a given value. It takes one operand of floating point type (i.e., scalar, tensor or vector) and returns one result of the same type. It has no standard attributes.

Example:

// Arcus tangent of scalar value. %a = math.atan %b : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class AtanOp(FloatingPointLikeUnaryMathOperation):
    """
    The atan operation computes the arcus tangent of a given value.  It takes
    one operand of floating point type (i.e., scalar, tensor or vector) and returns
    one result of the same type. It has no standard attributes.

    Example:

    // Arcus tangent of scalar value.
    %a = math.atan %b : f64
    """

    name = "math.atan"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.atan' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

CbrtOp dataclass

Bases: FloatingPointLikeUnaryMathOperation

The cbrt operation computes the cube root. It takes one operand of floating point type (i.e., scalar, tensor or vector) and returns one result of the same type. It has no standard attributes.

Example:

// Scalar cube root value. %a = math.cbrt %b : f64

Note: This op is not equivalent to powf(..., 1/3.0).

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class CbrtOp(FloatingPointLikeUnaryMathOperation):
    """
    The cbrt operation computes the cube root. It takes one operand of
    floating point type (i.e., scalar, tensor or vector) and returns one result
    of the same type. It has no standard attributes.

    Example:

    // Scalar cube root value.
    %a = math.cbrt %b : f64

    Note: This op is not equivalent to powf(..., 1/3.0).
    """

    name = "math.cbrt"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.cbrt' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

CeilOp dataclass

Bases: FloatingPointLikeUnaryMathOperation

The ceil operation computes the ceiling of a given value. It takes one operand of floating point type (i.e., scalar, tensor or vector) and returns one result of the same type. It has no standard attributes.

Example:

// Scalar ceiling value. %a = math.ceil %b : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class CeilOp(FloatingPointLikeUnaryMathOperation):
    """
    The ceil operation computes the ceiling of a given value. It takes one
    operand of floating point type (i.e., scalar, tensor or vector) and returns one
    result of the same type.  It has no standard attributes.

    Example:

    // Scalar ceiling value.
    %a = math.ceil %b : f64
    """

    name = "math.ceil"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.ceil' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

CopySignOp dataclass

Bases: FloatingPointLikeBinaryMathOperation

The copysign returns a value with the magnitude of the first operand and the sign of the second operand. It takes two operands and returns one result of the same type. The operands must be of floating point type (i.e., scalar, tensor or vector). It has no standard attributes.

Example:

// Scalar copysign value. %a = math.copysign %b, %c : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class CopySignOp(FloatingPointLikeBinaryMathOperation):
    """
    The copysign returns a value with the magnitude of the first operand and
    the sign of the second operand. It takes two operands and returns one result of
    the same type. The operands must be of floating point type (i.e., scalar,
    tensor or vector). It has no standard attributes.

    Example:

    // Scalar copysign value.
    %a = math.copysign %b, %c : f64
    """

    name = "math.copysign"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.copysign' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

CosOp dataclass

Bases: FloatingPointLikeUnaryMathOperation

The cos operation computes the cosine of a given value. It takes one operand of floating point type (i.e., scalar, tensor or vector) and returns one result of the same type. It has no standard attributes.

Example:

// Scalar cosine value. %a = math.cos %b : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class CosOp(FloatingPointLikeUnaryMathOperation):
    """
    The `cos` operation computes the cosine of a given value. It takes one
    operand of floating point type (i.e., scalar, tensor or vector) and returns one
    result of the same type.  It has no standard attributes.

    Example:

    // Scalar cosine value.
    %a = math.cos %b : f64
    """

    name = "math.cos"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.cos' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

CoshOp dataclass

Bases: FloatingPointLikeUnaryMathOperation

The cosh operation computes the hyperbolic cosine. It takes one operand of floating point type (i.e., scalar, tensor or vector) and returns one result of the same type. It has no standard attributes.

Example:

// Scalar hyperbolic cosine value. %a = math.cosh %b : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class CoshOp(FloatingPointLikeUnaryMathOperation):
    """
    The cosh operation computes the hyperbolic cosine. It takes one
    operand of floating point type (i.e., scalar, tensor or vector) and returns
    one result of the same type. It has no standard attributes.

    Example:

    // Scalar hyperbolic cosine value.
    %a = math.cosh %b : f64
    """

    name = "math.cosh"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.cosh' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

CountLeadingZerosOp dataclass

Bases: SignlessIntegerLikeUnaryMathOperation

The ctlz operation computes the number of leading zeros of an integer value. It operates on scalar, tensor or vector.

Example:

// Scalar ctlz function value. %a = math.ctlz %b : i32

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class CountLeadingZerosOp(SignlessIntegerLikeUnaryMathOperation):
    """
    The ctlz operation computes the number of leading zeros of an integer value.
    It operates on scalar, tensor or vector.

    Example:

    // Scalar ctlz function value.
    %a = math.ctlz %b : i32
    """

    name = "math.ctlz"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.ctlz' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

CountTrailingZerosOp dataclass

Bases: SignlessIntegerLikeUnaryMathOperation

The cttz operation computes the number of trailing zeros of an integer value. It operates on scalar, tensor or vector.

Example:

// Scalar cttz function value. %a = math.cttz %b : i32

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class CountTrailingZerosOp(SignlessIntegerLikeUnaryMathOperation):
    """
    The cttz operation computes the number of trailing zeros of an integer value.
    It operates on scalar, tensor or vector.

    Example:

    // Scalar cttz function value.
    %a = math.cttz %b : i32
    """

    name = "math.cttz"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.cttz' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

CtPopOp dataclass

Bases: SignlessIntegerLikeUnaryMathOperation

The ctpop operation computes the number of set bits of an integer value. It operates on scalar, tensor or vector.

Example:

// Scalar ctpop function value. %a = math.ctpop %b : i32

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class CtPopOp(SignlessIntegerLikeUnaryMathOperation):
    """
    The ctpop operation computes the number of set bits of an integer value.
    It operates on scalar, tensor or vector.

    Example:

    // Scalar ctpop function value.
    %a = math.ctpop %b : i32
    """

    name = "math.ctpop"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.ctpop' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

ErfOp dataclass

Bases: FloatingPointLikeUnaryMathOperation

The erf operation computes the error function. It takes one operand of floating point type (i.e., scalar, tensor or vector) and returns one result of the same type. It has no standard attributes.

Example:

// Scalar error function value. %a = math.erf %b : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class ErfOp(FloatingPointLikeUnaryMathOperation):
    """
    The erf operation computes the error function. It takes one operand of
    floating point type (i.e., scalar, tensor or vector) and returns one result of
    the same type. It has no standard attributes.

    Example:

    // Scalar error function value.
    %a = math.erf %b : f64
    """

    name = "math.erf"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.erf' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

Exp2Op dataclass

Bases: FloatingPointLikeUnaryMathOperation

The exp operation takes one operand of floating point type (i.e., scalar, tensor or vector) and returns one result of the same type. It has no standard attributes.

Example:

// Scalar natural exponential. %a = math.exp2 %b : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class Exp2Op(FloatingPointLikeUnaryMathOperation):
    """
    The exp operation takes one operand of floating point type (i.e., scalar,
    tensor or vector) and returns one result of the same type. It has no standard
    attributes.

    Example:

    // Scalar natural exponential.
    %a = math.exp2 %b : f64
    """

    name = "math.exp2"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.exp2' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

ExpM1Op dataclass

Bases: FloatingPointLikeUnaryMathOperation

expm1(x) := exp(x) - 1

The expm1 operation takes one operand of floating point type (i.e., scalar, tensor or vector) and returns one result of the same type. It has no standard attributes.

Example:

// Scalar natural exponential minus 1. %a = math.expm1 %b : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class ExpM1Op(FloatingPointLikeUnaryMathOperation):
    """
    expm1(x) := exp(x) - 1

    The expm1 operation takes one operand of floating point type (i.e.,
    scalar, tensor or vector) and returns one result of the same type. It has no
    standard attributes.

    Example:

    // Scalar natural exponential minus 1.
    %a = math.expm1 %b : f64
    """

    name = "math.expm1"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.expm1' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

ExpOp dataclass

Bases: FloatingPointLikeUnaryMathOperation

The exp operation takes one operand of floating point type (i.e., scalar, tensor or vector) and returns one result of the same type. It has no standard attributes.

Example:

// Scalar natural exponential. %a = math.exp %b : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class ExpOp(FloatingPointLikeUnaryMathOperation):
    """
    The exp operation takes one operand of floating point type (i.e., scalar,
    tensor or vector) and returns one result of the same type. It has no standard
    attributes.

    Example:

    // Scalar natural exponential.
    %a = math.exp %b : f64
    """

    name = "math.exp"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.exp' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

FPowIOp

Bases: IRDLOperation

The fpowi operation takes a base operand of floating point type (i.e. scalar, tensor or vector) and a power operand of integer type (also scalar, tensor or vector) and returns one result of the same type as base. The result is base raised to the power of power. The operation is elementwise for non-scalars, e.g.:

%v = math.fpowi %base, %power : vector<2xf32>, vector<2xi32>

The result is a vector of:

[, ]

Example:

// Scalar exponentiation. %a = math.fpowi %base, %power : f64, i32

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class FPowIOp(IRDLOperation):
    """
    The fpowi operation takes a `base` operand of floating point type
    (i.e. scalar, tensor or vector) and a `power` operand of integer type
    (also scalar, tensor or vector) and returns one result of the same type
    as `base`. The result is `base` raised to the power of `power`.
    The operation is elementwise for non-scalars, e.g.:

    %v = math.fpowi %base, %power : vector<2xf32>, vector<2xi32>

    The result is a vector of:

    [<math.fpowi %base[0], %power[0]>, <math.fpowi %base[1], %power[1]>]

    Example:

    // Scalar exponentiation.
    %a = math.fpowi %base, %power : f64, i32
    """

    name = "math.fpowi"

    T: ClassVar = VarConstraint("T1", floatingPointLike)

    fastmath = prop_def(FastMathFlagsAttr, default_value=FastMathFlagsAttr("none"))
    lhs = operand_def(T)
    rhs = operand_def(signlessIntegerLike)
    result = result_def(T)

    traits = traits_def(Pure())

    assembly_format = "$lhs `,` $rhs (`fastmath` `` $fastmath^)? attr-dict `:` type($lhs) `,` type($rhs)"

    def __init__(
        self,
        lhs: Operation | SSAValue,
        rhs: Operation | SSAValue,
        fastmath: FastMathFlagsAttr | None = None,
    ):
        attributes = {"fastmath": fastmath}
        super().__init__(
            attributes=attributes,
            operands=[lhs, rhs],
            result_types=[SSAValue.get(lhs).type],
        )

name = 'math.fpowi' class-attribute instance-attribute

T: ClassVar = VarConstraint('T1', floatingPointLike) class-attribute instance-attribute

fastmath = prop_def(FastMathFlagsAttr, default_value=(FastMathFlagsAttr('none'))) class-attribute instance-attribute

lhs = operand_def(T) class-attribute instance-attribute

rhs = operand_def(signlessIntegerLike) class-attribute instance-attribute

result = result_def(T) class-attribute instance-attribute

traits = traits_def(Pure()) class-attribute instance-attribute

assembly_format = '$lhs `,` $rhs (`fastmath` `` $fastmath^)? attr-dict `:` type($lhs) `,` type($rhs)' class-attribute instance-attribute

__init__(lhs: Operation | SSAValue, rhs: Operation | SSAValue, fastmath: FastMathFlagsAttr | None = None)

Source code in xdsl/dialects/math.py 
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def __init__(
    self,
    lhs: Operation | SSAValue,
    rhs: Operation | SSAValue,
    fastmath: FastMathFlagsAttr | None = None,
):
    attributes = {"fastmath": fastmath}
    super().__init__(
        attributes=attributes,
        operands=[lhs, rhs],
        result_types=[SSAValue.get(lhs).type],
    )

FloorOp dataclass

Bases: FloatingPointLikeUnaryMathOperation

The floor operation computes the floor of a given value. It takes one operand of floating point type (i.e., scalar, tensor or vector) and returns one result of the same type. It has no standard attributes.

Example:

// Scalar floor value. %a = math.floor %b : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class FloorOp(FloatingPointLikeUnaryMathOperation):
    """
    The floor operation computes the floor of a given value. It takes one
    operand of floating point type (i.e., scalar, tensor or vector) and returns one
    result of the same type.  It has no standard attributes.

    Example:

    // Scalar floor value.
    %a = math.floor %b : f64
    """

    name = "math.floor"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.floor' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

FmaOp

Bases: IRDLOperation

The fma operation takes three operands and returns one result, each of these is required to be the same type. Operands must be of floating point type (i.e., scalar, tensor or vector).

Example:

// Scalar fused multiply-add: d = a*b + c %d = math.fma %a, %b, %c : f64

The semantics of the operation correspond to those of the llvm.fma intrinsic. In the particular case of lowering to LLVM, this is guaranteed to lower to the llvm.fma.* intrinsic.

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class FmaOp(IRDLOperation):
    """
    The fma operation takes three operands and returns one result, each of
    these is required to be the same type. Operands must be of floating point type
    (i.e., scalar, tensor or vector).

    Example:

    // Scalar fused multiply-add: d = a*b + c
    %d = math.fma %a, %b, %c : f64

    The semantics of the operation correspond to those of the `llvm.fma`
    [intrinsic](https://llvm.org/docs/LangRef.html#llvm-fma-intrinsic). In the
    particular case of lowering to LLVM, this is guaranteed to lower
    to the `llvm.fma.*` intrinsic.
    """

    T: ClassVar = VarConstraint("T", floatingPointLike)

    name = "math.fma"

    fastmath = prop_def(FastMathFlagsAttr, default_value=FastMathFlagsAttr("none"))
    a = operand_def(T)
    b = operand_def(T)
    c = operand_def(T)
    result = result_def(T)

    traits = traits_def(Pure(), SameOperandsAndResultType())

    assembly_format = (
        "$a `,` $b `,` $c (`fastmath` `` $fastmath^)? attr-dict `:` type($result)"
    )

    def __init__(
        self,
        a: Operation | SSAValue,
        b: Operation | SSAValue,
        c: Operation | SSAValue,
        fastmath: FastMathFlagsAttr | None = None,
    ):
        attributes = {"fastmath": fastmath}

        super().__init__(
            attributes=attributes,
            operands=[a, b, c],
            result_types=[SSAValue.get(a).type],
        )

T: ClassVar = VarConstraint('T', floatingPointLike) class-attribute instance-attribute

name = 'math.fma' class-attribute instance-attribute

fastmath = prop_def(FastMathFlagsAttr, default_value=(FastMathFlagsAttr('none'))) class-attribute instance-attribute

a = operand_def(T) class-attribute instance-attribute

b = operand_def(T) class-attribute instance-attribute

c = operand_def(T) class-attribute instance-attribute

result = result_def(T) class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

assembly_format = '$a `,` $b `,` $c (`fastmath` `` $fastmath^)? attr-dict `:` type($result)' class-attribute instance-attribute

__init__(a: Operation | SSAValue, b: Operation | SSAValue, c: Operation | SSAValue, fastmath: FastMathFlagsAttr | None = None)

Source code in xdsl/dialects/math.py 
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def __init__(
    self,
    a: Operation | SSAValue,
    b: Operation | SSAValue,
    c: Operation | SSAValue,
    fastmath: FastMathFlagsAttr | None = None,
):
    attributes = {"fastmath": fastmath}

    super().__init__(
        attributes=attributes,
        operands=[a, b, c],
        result_types=[SSAValue.get(a).type],
    )

IPowIOp dataclass

Bases: SignlessIntegerLikeBinaryMathOperation

The ipowi operation takes two operands of integer type (i.e., scalar, tensor or vector) and returns one result of the same type. Operands must have the same type.

Example: // Scalar signed integer exponentiation. %a = math.ipowi %b, %c : i32

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class IPowIOp(SignlessIntegerLikeBinaryMathOperation):
    """
    The ipowi operation takes two operands of integer type (i.e., scalar,
    tensor or vector) and returns one result of the same type. Operands
    must have the same type.

    Example:
    // Scalar signed integer exponentiation.
    %a = math.ipowi %b, %c : i32
    """

    name = "math.ipowi"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.ipowi' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

Log10Op dataclass

Bases: FloatingPointLikeUnaryMathOperation

Computes the base-10 logarithm of the given value. It takes one operand of floating point type (i.e., scalar, tensor or vector) and returns one result of the same type.

Example:

// Scalar log10 operation. %y = math.log10 %x : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class Log10Op(FloatingPointLikeUnaryMathOperation):
    """
    Computes the base-10 logarithm of the given value. It takes one operand of
    floating point type (i.e., scalar, tensor or vector) and returns one result of
    the same type.

    Example:

    // Scalar log10 operation.
    %y = math.log10 %x : f64
    """

    name = "math.log10"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.log10' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

Log1pOp dataclass

Bases: FloatingPointLikeUnaryMathOperation

Computes the base-e logarithm of one plus the given value. It takes one operand of floating point type (i.e., scalar, tensor or vector) and returns one result of the same type.

log1p(x) := log(1 + x)

Example:

// Scalar log1p operation. %y = math.log1p %x : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class Log1pOp(FloatingPointLikeUnaryMathOperation):
    """
    Computes the base-e logarithm of one plus the given value. It takes one
    operand of floating point type (i.e., scalar, tensor or vector) and returns one
    result of the same type.

    log1p(x) := log(1 + x)

    Example:

    // Scalar log1p operation.
    %y = math.log1p %x : f64
    """

    name = "math.log1p"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.log1p' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

Log2Op dataclass

Bases: FloatingPointLikeUnaryMathOperation

Computes the base-2 logarithm of the given value. It takes one operand of floating point type (i.e., scalar, tensor or vector) and returns one result of the same type.

Example:

// Scalar log2 operation. %y = math.log2 %x : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class Log2Op(FloatingPointLikeUnaryMathOperation):
    """
    Computes the base-2 logarithm of the given value. It takes one operand of
    floating point type (i.e., scalar, tensor or vector) and returns one result of
    the same type.

    Example:

    // Scalar log2 operation.
    %y = math.log2 %x : f64
    """

    name = "math.log2"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.log2' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

LogOp dataclass

Bases: FloatingPointLikeUnaryMathOperation

Computes the base-e logarithm of the given value. It takes one operand of floating point type (i.e., scalar, tensor or vector) and returns one result of the same type.

Example:

// Scalar log operation. %y = math.log %x : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class LogOp(FloatingPointLikeUnaryMathOperation):
    """
    Computes the base-e logarithm of the given value. It takes one operand of
    floating point type (i.e., scalar, tensor or vector) and returns one result of
    the same type.

    Example:

    // Scalar log operation.
    %y = math.log %x : f64
    """

    name = "math.log"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.log' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

PowFOp dataclass

Bases: FloatingPointLikeBinaryMathOperation

The powf operation takes two operands of floating point type (i.e., scalar, tensor or vector) and returns one result of the same type. Operands must have the same type.

Example:

// Scalar exponentiation. %a = math.powf %b, %c : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class PowFOp(FloatingPointLikeBinaryMathOperation):
    """
    The powf operation takes two operands of floating point type (i.e.,
    scalar, tensor or vector) and returns one result of the same type. Operands
    must have the same type.

    Example:

    // Scalar exponentiation.
    %a = math.powf %b, %c : f64
    """

    name = "math.powf"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.powf' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

RoundEvenOp dataclass

Bases: FloatingPointLikeUnaryMathOperation

The roundeven operation returns the operand rounded to the nearest integer value in floating-point format. It takes one operand of floating point type (i.e., scalar, tensor or vector) and produces one result of the same type. The operation rounds the argument to the nearest integer value in floating-point format, rounding halfway cases to even, regardless of the current rounding direction.

Example:

// Scalar round operation. %a = math.roundeven %b : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class RoundEvenOp(FloatingPointLikeUnaryMathOperation):
    """
    The roundeven operation returns the operand rounded to the nearest integer
    value in floating-point format. It takes one operand of floating point type
    (i.e., scalar, tensor or vector) and produces one result of the same type.  The
    operation rounds the argument to the nearest integer value in floating-point
    format, rounding halfway cases to even, regardless of the current
    rounding direction.

    Example:

    // Scalar round operation.
    %a = math.roundeven %b : f64
    """

    name = "math.roundeven"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.roundeven' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

RoundOp dataclass

Bases: FloatingPointLikeUnaryMathOperation

The round operation returns the operand rounded to the nearest integer value in floating-point format. It takes one operand of floating point type (i.e., scalar, tensor or vector) and produces one result of the same type. The operation rounds the argument to the nearest integer value in floating-point format, rounding halfway cases away from zero, regardless of the current rounding direction.

Example:

// Scalar round operation. %a = math.round %b : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class RoundOp(FloatingPointLikeUnaryMathOperation):
    """
    The round operation returns the operand rounded to the nearest integer
    value in floating-point format. It takes one operand of floating point type
    (i.e., scalar, tensor or vector) and produces one result of the same type.  The
    operation rounds the argument to the nearest integer value in floating-point
    format, rounding halfway cases away from zero, regardless of the current
    rounding direction.

    Example:

    // Scalar round operation.
    %a = math.round %b : f64
    """

    name = "math.round"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.round' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

RsqrtOp dataclass

Bases: FloatingPointLikeUnaryMathOperation

The rsqrt operation computes the reciprocal of the square root. It takes one operand of floating point type (i.e., scalar, tensor or vector) and returns one result of the same type. It has no standard attributes.

Example: // Scalar reciprocal square root value. %a = math.rsqrt %b : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class RsqrtOp(FloatingPointLikeUnaryMathOperation):
    """
    The rsqrt operation computes the reciprocal of the square root. It takes
    one operand of floating point type (i.e., scalar, tensor or vector) and returns
    one result of the same type. It has no standard attributes.

    Example:
    // Scalar reciprocal square root value.
    %a = math.rsqrt %b : f64
    """

    name = "math.rsqrt"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.rsqrt' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

SinOp dataclass

Bases: FloatingPointLikeUnaryMathOperation

The sin operation computes the sine of a given value. It takes one operand of floating point type (i.e., scalar, tensor or vector) and returns one result of the same type. It has no standard attributes.

Example:

// Scalar sine value. %a = math.sin %b : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class SinOp(FloatingPointLikeUnaryMathOperation):
    """
    The sin operation computes the sine of a given value. It takes one
    operand of floating point type (i.e., scalar, tensor or vector) and returns one
    result of the same type.  It has no standard attributes.

    Example:

    // Scalar sine value.
    %a = math.sin %b : f64
    """

    name = "math.sin"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.sin' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

SinhOp dataclass

Bases: FloatingPointLikeUnaryMathOperation

The sinh operation computes the hyperbolic sine. It takes one operand of floating point type (i.e., scalar, tensor or vector) and returns one result of the same type. It has no standard attributes.

Example:

// Scalar hyperbolic sine value. %a = math.sinh %b : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class SinhOp(FloatingPointLikeUnaryMathOperation):
    """
    The sinh operation computes the hyperbolic sine. It takes one
    operand of floating point type (i.e., scalar, tensor or vector) and
    returns one result of the same type. It has no standard attributes.

    Example:

    // Scalar hyperbolic sine value.
    %a = math.sinh %b : f64
    """

    name = "math.sinh"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.sinh' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

SqrtOp dataclass

Bases: FloatingPointLikeUnaryMathOperation

The sqrt operation computes the square root. It takes one operand of floating point type (i.e., scalar, tensor or vector) and returns one result of the same type. It has no standard attributes.

Example: // Scalar square root value. %a = math.sqrt %b : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class SqrtOp(FloatingPointLikeUnaryMathOperation):
    """
    The sqrt operation computes the square root. It takes one operand of
    floating point type (i.e., scalar, tensor or vector) and returns one result of
    the same type. It has no standard attributes.

    Example:
    // Scalar square root value.
    %a = math.sqrt %b : f64
    """

    name = "math.sqrt"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.sqrt' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

TanOp dataclass

Bases: FloatingPointLikeUnaryMathOperation

The tan operation computes the tangent. It takes one operand of floating point type (i.e., scalar, tensor or vector) and returns one result of the same type. It has no standard attributes.

Example:

// Scalar tangent value. %a = math.tan %b : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class TanOp(FloatingPointLikeUnaryMathOperation):
    """
    The tan operation computes the tangent. It takes one operand
    of floating point type (i.e., scalar, tensor or vector) and returns one
    result of the same type. It has no standard attributes.

    Example:

    // Scalar tangent value.
    %a = math.tan %b : f64
    """

    name = "math.tan"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.tan' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

TanhOp dataclass

Bases: FloatingPointLikeUnaryMathOperation

The tanh operation computes the hyperbolic tangent. It takes one operand of floating point type (i.e., scalar, tensor or vector) and returns one result of the same type. It has no standard attributes.

Example:

// Scalar hyperbolic tangent value. %a = math.tanh %b : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class TanhOp(FloatingPointLikeUnaryMathOperation):
    """
    The tanh operation computes the hyperbolic tangent. It takes one operand
    of floating point type (i.e., scalar, tensor or vector) and returns one
    result of the same type. It has no standard attributes.

    Example:

    // Scalar hyperbolic tangent value.
    %a = math.tanh %b : f64
    """

    name = "math.tanh"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.tanh' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute

TruncOp dataclass

Bases: FloatingPointLikeUnaryMathOperation

The trunc operation returns the operand rounded to the nearest integer value in floating-point format. It takes one operand of floating point type (i.e., scalar, tensor or vector) and produces one result of the same type. The operation always rounds to the nearest integer not larger in magnitude than the operand, regardless of the current rounding direction.

Example:

// Scalar trunc operation. %a = math.trunc %b : f64

Source code in xdsl/dialects/math.py 
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@irdl_op_definition
class TruncOp(FloatingPointLikeUnaryMathOperation):
    """
    The trunc operation returns the operand rounded to the nearest integer
    value in floating-point format. It takes one operand of floating point type
    (i.e., scalar, tensor or vector) and produces one result of the same type.
    The operation always rounds to the nearest integer not larger in magnitude
    than the operand, regardless of the current rounding direction.

    Example:

    // Scalar trunc operation.
    %a = math.trunc %b : f64
    """

    name = "math.trunc"

    traits = traits_def(Pure(), SameOperandsAndResultType())

name = 'math.trunc' class-attribute instance-attribute

traits = traits_def(Pure(), SameOperandsAndResultType()) class-attribute instance-attribute