Stencil

stencil

StencilTypeConstr = FieldType.constr() | TempType.constr() module-attribute

FieldTypeConstr = FieldType[Attribute].constr() module-attribute

TempTypeConstr = TempType[Attribute].constr() module-attribute

AnyTempType: TypeAlias = TempType[Attribute] module-attribute

Stencil = Dialect('stencil', [AllocOp, CastOp, CombineOp, DynAccessOp, ExternalLoadOp, ExternalStoreOp, IndexOp, AccessOp, LoadOp, BufferOp, StoreOp, ApplyOp, StoreResultOp, ReturnOp], [FieldType, TempType, ResultType, IndexAttr, StencilBoundsAttr]) module-attribute

IndexAttr

Bases: ParametrizedAttribute, Iterable[int]

Source code in xdsl/dialects/stencil.py

@irdl_attr_definition
class IndexAttr(ParametrizedAttribute, Iterable[int]):
    name = "stencil.index"

    array: ArrayAttr[IntAttr]

    def __init__(self, indices: ArrayAttr[IntAttr]):
        super().__init__(indices)

    @classmethod
    def from_indices(cls, *indices: int):
        array = ArrayAttr([IntAttr(idx) for idx in indices])

        return cls(array)

    @classmethod
    def parse_parameters(cls, parser: AttrParser) -> list[Attribute]:
        """Parse the attribute parameters."""
        with parser.in_angle_brackets():
            return [cls.parse_indices(parser)]

    @classmethod
    def parse_indices(cls, parser: AttrParser) -> ArrayAttr[IntAttr]:
        """
        Parse a comma-separated, square delimited, list of integers into an ArrayAttr of
        IntAttrs.

        e.g.: `[1, 2, 3]`
        """
        ints = parser.parse_comma_separated_list(
            parser.Delimiter.SQUARE, lambda: parser.parse_integer(allow_boolean=False)
        )
        return ArrayAttr(IntAttr(i) for i in ints)

    def print_parameters(self, printer: Printer) -> None:
        with printer.in_angle_brackets():
            self.print_indices(printer)

    def print_indices(self, printer: Printer) -> None:
        printer.print_string(f"[{', '.join(str(e) for e in self)}]")

    def verify(self) -> None:
        l = len(self)
        if l < 1 or l > 3:
            raise VerifyException(
                f"Expected 1 to 3 indexes for stencil.index, got {l}."
            )

    @deprecated("Please use the default constructor instead")
    @staticmethod
    def get(*indices: int | IntAttr):
        array = ArrayAttr(
            (IntAttr(idx) if isinstance(idx, int) else idx) for idx in indices
        )

        return IndexAttr(array)

    # TODO : come to an agreement on, do we want to allow that kind of things
    # on Attributes? Author's opinion is a clear yes :P
    def __neg__(self) -> IndexAttr:
        return IndexAttr.from_indices(*(map(neg, self)))

    def __add__(self, o: IndexAttr) -> IndexAttr:
        return IndexAttr.from_indices(*(map(add, self, o)))

    def __sub__(self, o: IndexAttr) -> IndexAttr:
        return self + -o

    def __lt__(self, o: IndexAttr) -> bool:
        return any(map(lt, self, o))

    @staticmethod
    def min(a: IndexAttr, b: IndexAttr | None) -> IndexAttr:
        if b is None:
            return a
        return IndexAttr.from_indices(*map(min, a, b))

    @staticmethod
    def max(a: IndexAttr, b: IndexAttr | None) -> IndexAttr:
        if b is None:
            return a
        return IndexAttr.from_indices(*map(max, a, b))

    def __len__(self):
        return len(self.array)

    def __iter__(self) -> Iterator[int]:
        return (e.data for e in self.array.data)

name = 'stencil.index' class-attribute instance-attribute

array: ArrayAttr[IntAttr] instance-attribute

__init__(indices: ArrayAttr[IntAttr])

Source code in xdsl/dialects/stencil.py

def __init__(self, indices: ArrayAttr[IntAttr]):
    super().__init__(indices)

from_indices(*indices: int) classmethod

Source code in xdsl/dialects/stencil.py

@classmethod
def from_indices(cls, *indices: int):
    array = ArrayAttr([IntAttr(idx) for idx in indices])

    return cls(array)

parse_parameters(parser: AttrParser) -> list[Attribute] classmethod

Parse the attribute parameters.

Source code in xdsl/dialects/stencil.py

@classmethod
def parse_parameters(cls, parser: AttrParser) -> list[Attribute]:
    """Parse the attribute parameters."""
    with parser.in_angle_brackets():
        return [cls.parse_indices(parser)]

parse_indices(parser: AttrParser) -> ArrayAttr[IntAttr] classmethod

Parse a comma-separated, square delimited, list of integers into an ArrayAttr of IntAttrs.

e.g.: [1, 2, 3]

Source code in xdsl/dialects/stencil.py

@classmethod
def parse_indices(cls, parser: AttrParser) -> ArrayAttr[IntAttr]:
    """
    Parse a comma-separated, square delimited, list of integers into an ArrayAttr of
    IntAttrs.

    e.g.: `[1, 2, 3]`
    """
    ints = parser.parse_comma_separated_list(
        parser.Delimiter.SQUARE, lambda: parser.parse_integer(allow_boolean=False)
    )
    return ArrayAttr(IntAttr(i) for i in ints)

print_parameters(printer: Printer) -> None

Source code in xdsl/dialects/stencil.py

def print_parameters(self, printer: Printer) -> None:
    with printer.in_angle_brackets():
        self.print_indices(printer)

print_indices(printer: Printer) -> None

Source code in xdsl/dialects/stencil.py

def print_indices(self, printer: Printer) -> None:
    printer.print_string(f"[{', '.join(str(e) for e in self)}]")

verify() -> None

Source code in xdsl/dialects/stencil.py

def verify(self) -> None:
    l = len(self)
    if l < 1 or l > 3:
        raise VerifyException(
            f"Expected 1 to 3 indexes for stencil.index, got {l}."
        )

get(*indices: int | IntAttr) staticmethod

Source code in xdsl/dialects/stencil.py

@deprecated("Please use the default constructor instead")
@staticmethod
def get(*indices: int | IntAttr):
    array = ArrayAttr(
        (IntAttr(idx) if isinstance(idx, int) else idx) for idx in indices
    )

    return IndexAttr(array)

__neg__() -> IndexAttr

Source code in xdsl/dialects/stencil.py

def __neg__(self) -> IndexAttr:
    return IndexAttr.from_indices(*(map(neg, self)))

__add__(o: IndexAttr) -> IndexAttr

Source code in xdsl/dialects/stencil.py

def __add__(self, o: IndexAttr) -> IndexAttr:
    return IndexAttr.from_indices(*(map(add, self, o)))

__sub__(o: IndexAttr) -> IndexAttr

Source code in xdsl/dialects/stencil.py

def __sub__(self, o: IndexAttr) -> IndexAttr:
    return self + -o

__lt__(o: IndexAttr) -> bool

Source code in xdsl/dialects/stencil.py

def __lt__(self, o: IndexAttr) -> bool:
    return any(map(lt, self, o))

min(a: IndexAttr, b: IndexAttr | None) -> IndexAttr staticmethod

Source code in xdsl/dialects/stencil.py

@staticmethod
def min(a: IndexAttr, b: IndexAttr | None) -> IndexAttr:
    if b is None:
        return a
    return IndexAttr.from_indices(*map(min, a, b))

max(a: IndexAttr, b: IndexAttr | None) -> IndexAttr staticmethod

Source code in xdsl/dialects/stencil.py

@staticmethod
def max(a: IndexAttr, b: IndexAttr | None) -> IndexAttr:
    if b is None:
        return a
    return IndexAttr.from_indices(*map(max, a, b))

__len__()

Source code in xdsl/dialects/stencil.py

def __len__(self):
    return len(self.array)

__iter__() -> Iterator[int]

Source code in xdsl/dialects/stencil.py

def __iter__(self) -> Iterator[int]:
    return (e.data for e in self.array.data)

StencilBoundsAttr

Bases: ParametrizedAttribute

This attribute represents known bounds over a stencil type.

Source code in xdsl/dialects/stencil.py

@irdl_attr_definition
class StencilBoundsAttr(ParametrizedAttribute):
    """
    This attribute represents known bounds over a stencil type.
    """

    name = "stencil.bounds"
    lb: IndexAttr
    ub: IndexAttr

    def __init__(
        self,
        bounds: IndexAttr | Iterable[tuple[int | IntAttr, int | IntAttr]],
        ub: IndexAttr | None = None,
    ):
        if isinstance(bounds, IndexAttr):
            lb = bounds
            assert ub is not None
        else:
            warnings.warn(
                "StencilBoundsAttr init with sequence of tuples is deprecated, please use .from_bounds instead.",
                DeprecationWarning,
            )

            if bounds:
                lb_indices, ub_indices = zip(*bounds)
            else:
                lb_indices, ub_indices = (), ()

            lb_indices = tuple(i if isinstance(i, int) else i.data for i in lb_indices)
            ub_indices = tuple(i if isinstance(i, int) else i.data for i in ub_indices)

            lb = IndexAttr.from_indices(*lb_indices)
            ub = IndexAttr.from_indices(*ub_indices)
        super().__init__(lb, ub)

    @classmethod
    def from_bounds(cls, bounds: Iterable[tuple[int, int]]) -> StencilBoundsAttr:
        if bounds:
            lb, ub = zip(*bounds)
        else:
            lb, ub = (), ()
        return cls(IndexAttr.from_indices(*lb), IndexAttr.from_indices(*ub))

    def _verify(self):
        if len(self.lb) != len(self.ub):
            raise VerifyException(
                "Incoherent stencil bounds: lower and upper bounds must have the "
                "same dimensionality."
            )
        for d in self.ub - self.lb:
            if d <= 0:
                raise VerifyException(
                    "Incoherent stencil bounds: upper bound must be strictly "
                    "greater than lower bound."
                )

    def print_parameters(self, printer: Printer) -> None:
        with printer.in_angle_brackets():
            self.lb.print_indices(printer)
            printer.print_string(", ")
            self.ub.print_indices(printer)

    @classmethod
    def parse_parameters(cls, parser: AttrParser) -> list[Attribute]:
        with parser.in_angle_brackets():
            lb = IndexAttr(IndexAttr.parse_indices(parser))
            parser.parse_punctuation(",")
            ub = IndexAttr(IndexAttr.parse_indices(parser))
            return [lb, ub]

    def union(self, other: StencilBoundsAttr | IntAttr) -> StencilBoundsAttr:
        if isinstance(other, IntAttr):
            return self
        return StencilBoundsAttr.from_bounds(
            zip(
                map(min, self.lb, other.lb),
                map(max, self.ub, other.ub),
            )
        )

    def intersection(self, other: StencilBoundsAttr | IntAttr) -> StencilBoundsAttr:
        if isinstance(other, IntAttr):
            return self
        return StencilBoundsAttr.from_bounds(
            zip(
                map(max, self.lb, other.lb),
                map(min, self.ub, other.ub),
            )
        )

    def __or__(self, value: StencilBoundsAttr | IntAttr) -> StencilBoundsAttr:
        return self.union(value)

    def __ror__(self, value: StencilBoundsAttr | IntAttr) -> StencilBoundsAttr:
        return self | value

    def __and__(self, value: StencilBoundsAttr | IntAttr) -> StencilBoundsAttr:
        return self.intersection(value)

    def __rand__(self, value: StencilBoundsAttr | IntAttr) -> StencilBoundsAttr:
        return self & value

    def __add__(self, o: IndexAttr) -> StencilBoundsAttr:
        return StencilBoundsAttr.from_bounds(
            zip(
                self.lb + o,
                self.ub + o,
            )
        )

    def __radd__(self, o: IndexAttr) -> StencilBoundsAttr:
        return self + o

name = 'stencil.bounds' class-attribute instance-attribute

lb: IndexAttr instance-attribute

ub: IndexAttr instance-attribute

__init__(bounds: IndexAttr | Iterable[tuple[int | IntAttr, int | IntAttr]], ub: IndexAttr | None = None)

Source code in xdsl/dialects/stencil.py

def __init__(
    self,
    bounds: IndexAttr | Iterable[tuple[int | IntAttr, int | IntAttr]],
    ub: IndexAttr | None = None,
):
    if isinstance(bounds, IndexAttr):
        lb = bounds
        assert ub is not None
    else:
        warnings.warn(
            "StencilBoundsAttr init with sequence of tuples is deprecated, please use .from_bounds instead.",
            DeprecationWarning,
        )

        if bounds:
            lb_indices, ub_indices = zip(*bounds)
        else:
            lb_indices, ub_indices = (), ()

        lb_indices = tuple(i if isinstance(i, int) else i.data for i in lb_indices)
        ub_indices = tuple(i if isinstance(i, int) else i.data for i in ub_indices)

        lb = IndexAttr.from_indices(*lb_indices)
        ub = IndexAttr.from_indices(*ub_indices)
    super().__init__(lb, ub)

from_bounds(bounds: Iterable[tuple[int, int]]) -> StencilBoundsAttr classmethod

Source code in xdsl/dialects/stencil.py

@classmethod
def from_bounds(cls, bounds: Iterable[tuple[int, int]]) -> StencilBoundsAttr:
    if bounds:
        lb, ub = zip(*bounds)
    else:
        lb, ub = (), ()
    return cls(IndexAttr.from_indices(*lb), IndexAttr.from_indices(*ub))

print_parameters(printer: Printer) -> None

Source code in xdsl/dialects/stencil.py

def print_parameters(self, printer: Printer) -> None:
    with printer.in_angle_brackets():
        self.lb.print_indices(printer)
        printer.print_string(", ")
        self.ub.print_indices(printer)

parse_parameters(parser: AttrParser) -> list[Attribute] classmethod

Source code in xdsl/dialects/stencil.py

@classmethod
def parse_parameters(cls, parser: AttrParser) -> list[Attribute]:
    with parser.in_angle_brackets():
        lb = IndexAttr(IndexAttr.parse_indices(parser))
        parser.parse_punctuation(",")
        ub = IndexAttr(IndexAttr.parse_indices(parser))
        return [lb, ub]

union(other: StencilBoundsAttr | IntAttr) -> StencilBoundsAttr

Source code in xdsl/dialects/stencil.py

def union(self, other: StencilBoundsAttr | IntAttr) -> StencilBoundsAttr:
    if isinstance(other, IntAttr):
        return self
    return StencilBoundsAttr.from_bounds(
        zip(
            map(min, self.lb, other.lb),
            map(max, self.ub, other.ub),
        )
    )

intersection(other: StencilBoundsAttr | IntAttr) -> StencilBoundsAttr

Source code in xdsl/dialects/stencil.py

def intersection(self, other: StencilBoundsAttr | IntAttr) -> StencilBoundsAttr:
    if isinstance(other, IntAttr):
        return self
    return StencilBoundsAttr.from_bounds(
        zip(
            map(max, self.lb, other.lb),
            map(min, self.ub, other.ub),
        )
    )

__or__(value: StencilBoundsAttr | IntAttr) -> StencilBoundsAttr

Source code in xdsl/dialects/stencil.py

def __or__(self, value: StencilBoundsAttr | IntAttr) -> StencilBoundsAttr:
    return self.union(value)

__ror__(value: StencilBoundsAttr | IntAttr) -> StencilBoundsAttr

Source code in xdsl/dialects/stencil.py

def __ror__(self, value: StencilBoundsAttr | IntAttr) -> StencilBoundsAttr:
    return self | value

__and__(value: StencilBoundsAttr | IntAttr) -> StencilBoundsAttr

Source code in xdsl/dialects/stencil.py

def __and__(self, value: StencilBoundsAttr | IntAttr) -> StencilBoundsAttr:
    return self.intersection(value)

__rand__(value: StencilBoundsAttr | IntAttr) -> StencilBoundsAttr

Source code in xdsl/dialects/stencil.py

def __rand__(self, value: StencilBoundsAttr | IntAttr) -> StencilBoundsAttr:
    return self & value

__add__(o: IndexAttr) -> StencilBoundsAttr

Source code in xdsl/dialects/stencil.py

def __add__(self, o: IndexAttr) -> StencilBoundsAttr:
    return StencilBoundsAttr.from_bounds(
        zip(
            self.lb + o,
            self.ub + o,
        )
    )

__radd__(o: IndexAttr) -> StencilBoundsAttr

Source code in xdsl/dialects/stencil.py

def __radd__(self, o: IndexAttr) -> StencilBoundsAttr:
    return self + o

StencilType dataclass

Bases: ParametrizedAttribute, TypeAttribute, ShapedType, ContainerType[_FieldTypeElement], Generic[_FieldTypeElement]

Source code in xdsl/dialects/stencil.py

@dataclass(frozen=True, init=False)
class StencilType(
    ParametrizedAttribute,
    TypeAttribute,
    builtin.ShapedType,
    builtin.ContainerType[_FieldTypeElement],
    Generic[_FieldTypeElement],
):
    name = "stencil.type"
    bounds: StencilBoundsAttr | IntAttr
    """
    Represents the bounds information of a stencil.field or stencil.temp.

    A StencilBoundsAttr encodes known bounds, where an IntAttr encodes the
    rank of unknown bounds. A stencil.field or stencil.temp cannot be unranked!
    """
    element_type: _FieldTypeElement

    def __init__(
        self,
        bounds: (Iterable[tuple[int, int]] | int | IntAttr | StencilBoundsAttr),
        element_type: _FieldTypeElement,
    ) -> None:
        """
            A StencilBoundsAttr encodes known bounds, where an IntAttr encodes the
        rank of unknown bounds. A stencil.field or stencil.temp cannot be unranked!

        ### examples:

        - `Field(3,f32)` is represented as `stencil.field<?x?x?xf32>`
        - `Field([(-1,17),(-2,18)],f32)` is represented as `stencil.field<[-1,17]x[-2,18]xf32>`,
        """
        if isinstance(bounds, Iterable):
            warnings.warn(
                "StencilType init with iterable bounds is deprecated, please pass StencilBoundsAttr or IntAttr instead.",
                DeprecationWarning,
            )
            nbounds = StencilBoundsAttr.from_bounds(bounds)
        elif isinstance(bounds, int):
            warnings.warn(
                "StencilType init with int bounds is deprecated, please pass StencilBoundsAttr or IntAttr instead.",
                DeprecationWarning,
            )
            nbounds = IntAttr(bounds)
        else:
            nbounds = bounds
        return super().__init__(nbounds, element_type)

    def get_num_dims(self) -> int:
        if isinstance(self.bounds, IntAttr):
            return self.bounds.data
        else:
            return len(self.bounds.ub.array.data)

    def get_shape(self) -> tuple[int, ...]:
        if isinstance(self.bounds, IntAttr):
            return (DYNAMIC_INDEX,) * self.bounds.data
        else:
            return tuple(self.bounds.ub - self.bounds.lb)

    def get_element_type(self) -> _FieldTypeElement:
        return self.element_type

    @classmethod
    def parse_parameters(cls, parser: AttrParser) -> list[Attribute]:
        def parse_interval() -> tuple[int, int] | int:
            if parser.parse_optional_punctuation("?"):
                return DYNAMIC_INDEX
            parser.parse_punctuation("[")
            l = parser.parse_integer(allow_boolean=False)
            parser.parse_punctuation(",")
            u = parser.parse_integer(allow_boolean=False)
            parser.parse_punctuation("]")
            return (l, u)

        parser.parse_characters("<")
        bounds = [parse_interval()]
        parser.parse_shape_delimiter()
        opt_type = parser.parse_optional_type()
        while opt_type is None:
            bounds.append(parse_interval())
            parser.parse_shape_delimiter()
            opt_type = parser.parse_optional_type()
        parser.parse_characters(">")
        if isa(bounds, list[tuple[int, int]]):
            bounds = StencilBoundsAttr.from_bounds(bounds)
        elif isa(bounds, list[int]):
            bounds = IntAttr(len(bounds))
        else:
            parser.raise_error("stencil types can only be fully dynamic or sized.")

        return [bounds, opt_type]

    def print_parameters(self, printer: Printer) -> None:
        with printer.in_angle_brackets():
            if isinstance(self.bounds, StencilBoundsAttr):
                printer.print_list(
                    zip(self.bounds.lb, self.bounds.ub),
                    lambda b: printer.print_string(f"[{b[0]},{b[1]}]"),
                    "x",
                )
                printer.print_string("x")
            else:
                for _ in range(self.bounds.data):
                    printer.print_string("?x")
            printer.print_attribute(self.element_type)

    @classmethod
    def constr(
        cls,
        *,
        bounds: AttrConstraint | None = None,
        element_type: AttrConstraint[_FieldTypeElement] | None = None,
    ) -> (
        BaseAttr[StencilType[_FieldTypeElement]]
        | ParamAttrConstraint[StencilType[_FieldTypeElement]]
    ):
        if bounds is None and element_type is None:
            return BaseAttr(cls)
        return ParamAttrConstraint(cls, (bounds, element_type))

name = 'stencil.type' class-attribute instance-attribute

bounds: StencilBoundsAttr | IntAttr instance-attribute

Represents the bounds information of a stencil.field or stencil.temp.

A StencilBoundsAttr encodes known bounds, where an IntAttr encodes the rank of unknown bounds. A stencil.field or stencil.temp cannot be unranked!

element_type: _FieldTypeElement instance-attribute

__init__(bounds: Iterable[tuple[int, int]] | int | IntAttr | StencilBoundsAttr, element_type: _FieldTypeElement) -> None

A StencilBoundsAttr encodes known bounds, where an IntAttr encodes the

rank of unknown bounds. A stencil.field or stencil.temp cannot be unranked!

examples:

• Field(3,f32) is represented as stencil.field<?x?x?xf32>
• Field([(-1,17),(-2,18)],f32) is represented as stencil.field<[-1,17]x[-2,18]xf32>,

Source code in xdsl/dialects/stencil.py

def __init__(
    self,
    bounds: (Iterable[tuple[int, int]] | int | IntAttr | StencilBoundsAttr),
    element_type: _FieldTypeElement,
) -> None:
    """
        A StencilBoundsAttr encodes known bounds, where an IntAttr encodes the
    rank of unknown bounds. A stencil.field or stencil.temp cannot be unranked!

    ### examples:

    - `Field(3,f32)` is represented as `stencil.field<?x?x?xf32>`
    - `Field([(-1,17),(-2,18)],f32)` is represented as `stencil.field<[-1,17]x[-2,18]xf32>`,
    """
    if isinstance(bounds, Iterable):
        warnings.warn(
            "StencilType init with iterable bounds is deprecated, please pass StencilBoundsAttr or IntAttr instead.",
            DeprecationWarning,
        )
        nbounds = StencilBoundsAttr.from_bounds(bounds)
    elif isinstance(bounds, int):
        warnings.warn(
            "StencilType init with int bounds is deprecated, please pass StencilBoundsAttr or IntAttr instead.",
            DeprecationWarning,
        )
        nbounds = IntAttr(bounds)
    else:
        nbounds = bounds
    return super().__init__(nbounds, element_type)

get_num_dims() -> int

Source code in xdsl/dialects/stencil.py

def get_num_dims(self) -> int:
    if isinstance(self.bounds, IntAttr):
        return self.bounds.data
    else:
        return len(self.bounds.ub.array.data)

get_shape() -> tuple[int, ...]

Source code in xdsl/dialects/stencil.py

def get_shape(self) -> tuple[int, ...]:
    if isinstance(self.bounds, IntAttr):
        return (DYNAMIC_INDEX,) * self.bounds.data
    else:
        return tuple(self.bounds.ub - self.bounds.lb)

get_element_type() -> _FieldTypeElement

Source code in xdsl/dialects/stencil.py

def get_element_type(self) -> _FieldTypeElement:
    return self.element_type

parse_parameters(parser: AttrParser) -> list[Attribute] classmethod

Source code in xdsl/dialects/stencil.py

@classmethod
def parse_parameters(cls, parser: AttrParser) -> list[Attribute]:
    def parse_interval() -> tuple[int, int] | int:
        if parser.parse_optional_punctuation("?"):
            return DYNAMIC_INDEX
        parser.parse_punctuation("[")
        l = parser.parse_integer(allow_boolean=False)
        parser.parse_punctuation(",")
        u = parser.parse_integer(allow_boolean=False)
        parser.parse_punctuation("]")
        return (l, u)

    parser.parse_characters("<")
    bounds = [parse_interval()]
    parser.parse_shape_delimiter()
    opt_type = parser.parse_optional_type()
    while opt_type is None:
        bounds.append(parse_interval())
        parser.parse_shape_delimiter()
        opt_type = parser.parse_optional_type()
    parser.parse_characters(">")
    if isa(bounds, list[tuple[int, int]]):
        bounds = StencilBoundsAttr.from_bounds(bounds)
    elif isa(bounds, list[int]):
        bounds = IntAttr(len(bounds))
    else:
        parser.raise_error("stencil types can only be fully dynamic or sized.")

    return [bounds, opt_type]

print_parameters(printer: Printer) -> None

Source code in xdsl/dialects/stencil.py

def print_parameters(self, printer: Printer) -> None:
    with printer.in_angle_brackets():
        if isinstance(self.bounds, StencilBoundsAttr):
            printer.print_list(
                zip(self.bounds.lb, self.bounds.ub),
                lambda b: printer.print_string(f"[{b[0]},{b[1]}]"),
                "x",
            )
            printer.print_string("x")
        else:
            for _ in range(self.bounds.data):
                printer.print_string("?x")
        printer.print_attribute(self.element_type)

constr(*, bounds: AttrConstraint | None = None, element_type: AttrConstraint[_FieldTypeElement] | None = None) -> BaseAttr[StencilType[_FieldTypeElement]] | ParamAttrConstraint[StencilType[_FieldTypeElement]] classmethod

Source code in xdsl/dialects/stencil.py

@classmethod
def constr(
    cls,
    *,
    bounds: AttrConstraint | None = None,
    element_type: AttrConstraint[_FieldTypeElement] | None = None,
) -> (
    BaseAttr[StencilType[_FieldTypeElement]]
    | ParamAttrConstraint[StencilType[_FieldTypeElement]]
):
    if bounds is None and element_type is None:
        return BaseAttr(cls)
    return ParamAttrConstraint(cls, (bounds, element_type))

FieldType dataclass

Bases: StencilType[_FieldTypeElement], ParametrizedAttribute, TypeAttribute, Generic[_FieldTypeElement]

stencil.field represents memory from which stencil input values will be loaded, or to which stencil output values will be stored.

stencil.temp are loaded from or stored to stencil.field

Source code in xdsl/dialects/stencil.py

@irdl_attr_definition(init=False)
class FieldType(
    StencilType[_FieldTypeElement],
    ParametrizedAttribute,
    TypeAttribute,
    Generic[_FieldTypeElement],
):
    """
    stencil.field represents memory from which stencil input values will be loaded,
    or to which stencil output values will be stored.

    stencil.temp are loaded from or stored to stencil.field
    """

    name = "stencil.field"

name = 'stencil.field' class-attribute instance-attribute

TempType dataclass

Bases: StencilType[_FieldTypeElement], ParametrizedAttribute, TypeAttribute, Generic[_FieldTypeElement]

stencil.temp represents stencil values, and is the type on which stencil.apply operates. It has value-semantics: it won't necesseraly be lowered to an actual buffer.

Source code in xdsl/dialects/stencil.py

@irdl_attr_definition(init=False)
class TempType(
    StencilType[_FieldTypeElement],
    ParametrizedAttribute,
    TypeAttribute,
    Generic[_FieldTypeElement],
):
    """
    stencil.temp represents stencil values, and is the type on which stencil.apply operates.
    It has value-semantics: it won't necesseraly be lowered to an actual buffer.
    """

    name = "stencil.temp"

name = 'stencil.temp' class-attribute instance-attribute

ResultType dataclass

Bases: ParametrizedAttribute, TypeAttribute

Source code in xdsl/dialects/stencil.py

@irdl_attr_definition
class ResultType(ParametrizedAttribute, TypeAttribute):
    name = "stencil.result"
    elem: Attribute

name = 'stencil.result' class-attribute instance-attribute

elem: Attribute instance-attribute

ApplyOpHasCanonicalizationPatternsTrait dataclass

Bases: HasCanonicalizationPatternsTrait

Source code in xdsl/dialects/stencil.py

class ApplyOpHasCanonicalizationPatternsTrait(HasCanonicalizationPatternsTrait):
    @classmethod
    def get_canonicalization_patterns(cls) -> tuple[RewritePattern, ...]:
        from xdsl.transforms.canonicalization_patterns.stencil import (
            ApplyRedundantOperands,
            ApplyUnusedOperands,
            ApplyUnusedResults,
        )

        return (
            ApplyRedundantOperands(),
            ApplyUnusedResults(),
            ApplyUnusedOperands(),
        )

get_canonicalization_patterns() -> tuple[RewritePattern, ...] classmethod

Source code in xdsl/dialects/stencil.py

@classmethod
def get_canonicalization_patterns(cls) -> tuple[RewritePattern, ...]:
    from xdsl.transforms.canonicalization_patterns.stencil import (
        ApplyRedundantOperands,
        ApplyUnusedOperands,
        ApplyUnusedResults,
    )

    return (
        ApplyRedundantOperands(),
        ApplyUnusedResults(),
        ApplyUnusedOperands(),
    )

ApplyOpHasShapeInferencePatternsTrait dataclass

Bases: HasShapeInferencePatternsTrait

Source code in xdsl/dialects/stencil.py

class ApplyOpHasShapeInferencePatternsTrait(HasShapeInferencePatternsTrait):
    @classmethod
    def get_shape_inference_patterns(cls) -> tuple[RewritePattern, ...]:
        from xdsl.transforms.shape_inference_patterns.stencil import (
            ApplyOpShapeInference,
        )

        return (ApplyOpShapeInference(),)

get_shape_inference_patterns() -> tuple[RewritePattern, ...] classmethod

Source code in xdsl/dialects/stencil.py

@classmethod
def get_shape_inference_patterns(cls) -> tuple[RewritePattern, ...]:
    from xdsl.transforms.shape_inference_patterns.stencil import (
        ApplyOpShapeInference,
    )

    return (ApplyOpShapeInference(),)

ApplyMemoryEffect dataclass

Bases: RecursiveMemoryEffect

Source code in xdsl/dialects/stencil.py

class ApplyMemoryEffect(RecursiveMemoryEffect):
    @classmethod
    def get_effects(cls, op: Operation):
        effects = super().get_effects(op)
        if effects is not None:
            for d in cast(ApplyOp, op).dest:
                effects.add(EffectInstance(MemoryEffectKind.WRITE, d))
            for o in cast(ApplyOp, op).args:
                if isinstance(o.type, FieldType):
                    effects.add(EffectInstance(MemoryEffectKind.READ, o))
        return effects

get_effects(op: Operation) classmethod

Source code in xdsl/dialects/stencil.py

@classmethod
def get_effects(cls, op: Operation):
    effects = super().get_effects(op)
    if effects is not None:
        for d in cast(ApplyOp, op).dest:
            effects.add(EffectInstance(MemoryEffectKind.WRITE, d))
        for o in cast(ApplyOp, op).args:
            if isinstance(o.type, FieldType):
                effects.add(EffectInstance(MemoryEffectKind.READ, o))
    return effects

ApplyOp

Bases: IRDLOperation

This operation takes a stencil function plus parameters and applies the stencil function to the output temp.

Example:

%0 = stencil.apply (%arg0=%0 : !stencil.temp<?x?x?xf64>) -> !stencil.temp<?x?x?xf64> { ... }

The computation bounds are defined by the bounds of the output types, which are constrained to be all equals.

Source code in xdsl/dialects/stencil.py

@irdl_op_definition
class ApplyOp(IRDLOperation):
    """
    This operation takes a stencil function plus parameters and applies
    the stencil function to the output temp.

    Example:

      %0 = stencil.apply (%arg0=%0 : !stencil.temp<?x?x?xf64>) -> !stencil.temp<?x?x?xf64> {
        ...
      }

    The computation bounds are defined by the bounds of the output types, which are
    constrained to be all equals.
    """

    name = "stencil.apply"

    args = var_operand_def(Attribute)
    dest = var_operand_def(FieldType)
    region = region_def()
    res = var_result_def(TempType)

    bounds = opt_prop_def(StencilBoundsAttr)

    def __init__(
        self,
        args: Sequence[SSAValue] | Sequence[Operation],
        body: Block | Region,
        result_types: Sequence[TempType[Attribute]] | None = None,
        bounds: StencilBoundsAttr | None = None,
    ):
        assert result_types or bounds
        if isinstance(body, Block):
            body = Region(body)

        properties = {"bounds": bounds} if bounds else {}

        super().__init__(
            operands=[list(args), []],
            regions=[body],
            result_types=[result_types],
            properties=properties,
        )

    traits = traits_def(
        IsolatedFromAbove(),
        ApplyOpHasCanonicalizationPatternsTrait(),
        ApplyOpHasShapeInferencePatternsTrait(),
        ApplyMemoryEffect(),
    )

    irdl_options = (AttrSizedOperandSegments(as_property=True),)

    def print(self, printer: Printer):
        def print_assign_argument(args: tuple[BlockArgument, SSAValue, Attribute]):
            printer.print_ssa_value(args[0])
            printer.print_string(" = ")
            printer.print_ssa_value(args[1])
            printer.print_string(" : ")
            printer.print_attribute(args[2])

        def print_destination_operand(dest: SSAValue):
            printer.print_ssa_value(dest)
            printer.print_string(" : ")
            printer.print_attribute(dest.type)

        with printer.in_parens():
            printer.print_list(
                zip(self.region.block.args, self.args, self.args.types),
                print_assign_argument,
            )
        if self.dest:
            printer.print_string(" outs ")
            with printer.in_parens():
                printer.print_list(self.dest, print_destination_operand)
        else:
            printer.print_string(" -> ")
            with printer.in_parens():
                printer.print_list(self.res.types, printer.print_attribute)
        printer.print_string(" ")
        printer.print_op_attributes(self.attributes, print_keyword=True)
        printer.print_region(self.region, print_entry_block_args=False)
        if self.bounds is not None:
            printer.print_string(" to ")
            self.bounds.print_parameters(printer)

    @classmethod
    def parse(cls: type[ApplyOp], parser: Parser):
        def parse_assign_args():
            arg = parser.parse_argument(expect_type=False)
            parser.parse_punctuation("=")
            value = parser.parse_operand()
            parser.parse_punctuation(":")
            type = parser.parse_attribute()
            arg = arg.resolve(type)
            return arg, value

        def parse_operand():
            op = parser.parse_unresolved_operand()
            parser.parse_punctuation(":")
            type = parser.parse_attribute()
            return parser.resolve_operand(op, type)

        assign_args = parser.parse_comma_separated_list(
            parser.Delimiter.PAREN, parse_assign_args
        )
        args: tuple[Parser.Argument, ...]
        operands: tuple[SSAValue, ...]
        args, operands = zip(*assign_args) if assign_args else ((), ())

        if parser.parse_optional_punctuation("->"):
            parser.parse_punctuation("(")
            result_types = parser.parse_optional_undelimited_comma_separated_list(
                parser.parse_optional_attribute, parser.parse_attribute
            )
            destinations = []
        else:
            parser.parse_keyword("outs")
            parser.parse_punctuation("(")
            destinations = parser.parse_comma_separated_list(
                parser.Delimiter.NONE, parse_operand
            )
            result_types = []
        parser.parse_punctuation(")")
        attrs = parser.parse_optional_attr_dict_with_keyword()
        if attrs is not None:
            attrs = dict(attrs.data)
        else:
            attrs = {}
        region = parser.parse_region(args)
        if parser.parse_optional_keyword("to"):
            lb, ub = StencilBoundsAttr.parse_parameters(parser)
            assert isa(lb, IndexAttr)
            assert isa(ub, IndexAttr)
            bounds = StencilBoundsAttr(lb, ub)
        else:
            bounds = None
        return cls.build(
            operands=[operands, destinations or []],
            result_types=[result_types or []],
            regions=[region],
            attributes=attrs,
            properties={"bounds": bounds},
        )

    @deprecated("Please use the default constructor instead")
    @staticmethod
    def get(
        args: Sequence[SSAValue] | Sequence[Operation],
        body: Block | Region,
        result_types: Sequence[TempType[Attribute]] = (),
        bounds: StencilBoundsAttr | None = None,
    ):
        return ApplyOp(args, body, result_types, bounds)

    def verify_(self) -> None:
        for operand, argument in zip(self.operands, self.region.block.args):
            if operand.type != argument.type:
                raise VerifyException(
                    "Expected argument type to match operand type, got "
                    f"{argument.type} != {operand.type} at index {argument.index}"
                )
        if len(self.res) > 0 and len(self.dest) > 0:
            raise VerifyException(
                "Expected stencil.apply to have all value-semantics result or "
                "buffer-semantic destination operands."
            )
        if len(self.res) > 0:
            res_type = self.res[0].type
            for other in self.res[1:]:
                other = other.type
                if res_type.bounds != other.bounds:
                    raise VerifyException(
                        "Expected all output types bounds to be equals."
                    )
        if len(self.dest) > 0:
            if self.bounds is None:
                raise VerifyException(
                    "Expected stencil.apply to have bounds when having destination operands."
                )

        nres = max(len(self.res), len(self.dest))
        if nres < 1:
            raise VerifyException(
                f"Expected stencil.apply to have at least 1 result, got {len(self.res)}"
            )

    def get_rank(self) -> int:
        if len(self.res) > 0:
            res_type = self.res[0].type
            assert isa(res_type, TempType[Attribute])
            return res_type.get_num_dims()
        else:
            assert self.bounds is not None
            return len(self.bounds.lb)

    def get_accesses(self) -> Iterable[AccessPattern]:
        """
        Return the access patterns of each input.

         - An offset is a tuple describing a relative access
         - An access pattern is a class wrapping a sequence of offsets
         - This method returns an access pattern for each stencil
           field of the apply operation.
        """
        # iterate over the block arguments
        for arg in self.region.block.args:
            accesses: list[tuple[int, ...]] = []
            # walk the uses of the argument
            for use in arg.uses:
                # filter out all non access ops
                if not isinstance(use.operation, AccessOp):
                    continue
                access: AccessOp = use.operation
                # grab the offsets as a tuple[int, ...]
                offsets = tuple(access.offset)
                # account for offset_mappings:
                if (
                    access.offset_mapping is not None
                    and len(offsets) == self.get_rank()
                ):
                    offsets = tuple(offsets[i] for i in access.offset_mapping)
                accesses.append(offsets)
            yield AccessPattern(tuple(accesses))

    def get_bounds(self):
        if self.bounds is not None:
            return self.bounds
        else:
            assert self.res
            res_type = self.res[0].type
            return res_type.bounds

name = 'stencil.apply' class-attribute instance-attribute

args = var_operand_def(Attribute) class-attribute instance-attribute

dest = var_operand_def(FieldType) class-attribute instance-attribute

region = region_def() class-attribute instance-attribute

res = var_result_def(TempType) class-attribute instance-attribute

bounds = opt_prop_def(StencilBoundsAttr) class-attribute instance-attribute

traits = traits_def(IsolatedFromAbove(), ApplyOpHasCanonicalizationPatternsTrait(), ApplyOpHasShapeInferencePatternsTrait(), ApplyMemoryEffect()) class-attribute instance-attribute

irdl_options = (AttrSizedOperandSegments(as_property=True),) class-attribute instance-attribute

__init__(args: Sequence[SSAValue] | Sequence[Operation], body: Block | Region, result_types: Sequence[TempType[Attribute]] | None = None, bounds: StencilBoundsAttr | None = None)

Source code in xdsl/dialects/stencil.py

def __init__(
    self,
    args: Sequence[SSAValue] | Sequence[Operation],
    body: Block | Region,
    result_types: Sequence[TempType[Attribute]] | None = None,
    bounds: StencilBoundsAttr | None = None,
):
    assert result_types or bounds
    if isinstance(body, Block):
        body = Region(body)

    properties = {"bounds": bounds} if bounds else {}

    super().__init__(
        operands=[list(args), []],
        regions=[body],
        result_types=[result_types],
        properties=properties,
    )

print(printer: Printer)

Source code in xdsl/dialects/stencil.py

def print(self, printer: Printer):
    def print_assign_argument(args: tuple[BlockArgument, SSAValue, Attribute]):
        printer.print_ssa_value(args[0])
        printer.print_string(" = ")
        printer.print_ssa_value(args[1])
        printer.print_string(" : ")
        printer.print_attribute(args[2])

    def print_destination_operand(dest: SSAValue):
        printer.print_ssa_value(dest)
        printer.print_string(" : ")
        printer.print_attribute(dest.type)

    with printer.in_parens():
        printer.print_list(
            zip(self.region.block.args, self.args, self.args.types),
            print_assign_argument,
        )
    if self.dest:
        printer.print_string(" outs ")
        with printer.in_parens():
            printer.print_list(self.dest, print_destination_operand)
    else:
        printer.print_string(" -> ")
        with printer.in_parens():
            printer.print_list(self.res.types, printer.print_attribute)
    printer.print_string(" ")
    printer.print_op_attributes(self.attributes, print_keyword=True)
    printer.print_region(self.region, print_entry_block_args=False)
    if self.bounds is not None:
        printer.print_string(" to ")
        self.bounds.print_parameters(printer)

parse(parser: Parser) classmethod

Source code in xdsl/dialects/stencil.py

@classmethod
def parse(cls: type[ApplyOp], parser: Parser):
    def parse_assign_args():
        arg = parser.parse_argument(expect_type=False)
        parser.parse_punctuation("=")
        value = parser.parse_operand()
        parser.parse_punctuation(":")
        type = parser.parse_attribute()
        arg = arg.resolve(type)
        return arg, value

    def parse_operand():
        op = parser.parse_unresolved_operand()
        parser.parse_punctuation(":")
        type = parser.parse_attribute()
        return parser.resolve_operand(op, type)

    assign_args = parser.parse_comma_separated_list(
        parser.Delimiter.PAREN, parse_assign_args
    )
    args: tuple[Parser.Argument, ...]
    operands: tuple[SSAValue, ...]
    args, operands = zip(*assign_args) if assign_args else ((), ())

    if parser.parse_optional_punctuation("->"):
        parser.parse_punctuation("(")
        result_types = parser.parse_optional_undelimited_comma_separated_list(
            parser.parse_optional_attribute, parser.parse_attribute
        )
        destinations = []
    else:
        parser.parse_keyword("outs")
        parser.parse_punctuation("(")
        destinations = parser.parse_comma_separated_list(
            parser.Delimiter.NONE, parse_operand
        )
        result_types = []
    parser.parse_punctuation(")")
    attrs = parser.parse_optional_attr_dict_with_keyword()
    if attrs is not None:
        attrs = dict(attrs.data)
    else:
        attrs = {}
    region = parser.parse_region(args)
    if parser.parse_optional_keyword("to"):
        lb, ub = StencilBoundsAttr.parse_parameters(parser)
        assert isa(lb, IndexAttr)
        assert isa(ub, IndexAttr)
        bounds = StencilBoundsAttr(lb, ub)
    else:
        bounds = None
    return cls.build(
        operands=[operands, destinations or []],
        result_types=[result_types or []],
        regions=[region],
        attributes=attrs,
        properties={"bounds": bounds},
    )

get(args: Sequence[SSAValue] | Sequence[Operation], body: Block | Region, result_types: Sequence[TempType[Attribute]] = (), bounds: StencilBoundsAttr | None = None) staticmethod

Source code in xdsl/dialects/stencil.py

@deprecated("Please use the default constructor instead")
@staticmethod
def get(
    args: Sequence[SSAValue] | Sequence[Operation],
    body: Block | Region,
    result_types: Sequence[TempType[Attribute]] = (),
    bounds: StencilBoundsAttr | None = None,
):
    return ApplyOp(args, body, result_types, bounds)

verify_() -> None

Source code in xdsl/dialects/stencil.py

def verify_(self) -> None:
    for operand, argument in zip(self.operands, self.region.block.args):
        if operand.type != argument.type:
            raise VerifyException(
                "Expected argument type to match operand type, got "
                f"{argument.type} != {operand.type} at index {argument.index}"
            )
    if len(self.res) > 0 and len(self.dest) > 0:
        raise VerifyException(
            "Expected stencil.apply to have all value-semantics result or "
            "buffer-semantic destination operands."
        )
    if len(self.res) > 0:
        res_type = self.res[0].type
        for other in self.res[1:]:
            other = other.type
            if res_type.bounds != other.bounds:
                raise VerifyException(
                    "Expected all output types bounds to be equals."
                )
    if len(self.dest) > 0:
        if self.bounds is None:
            raise VerifyException(
                "Expected stencil.apply to have bounds when having destination operands."
            )

    nres = max(len(self.res), len(self.dest))
    if nres < 1:
        raise VerifyException(
            f"Expected stencil.apply to have at least 1 result, got {len(self.res)}"
        )

get_rank() -> int

Source code in xdsl/dialects/stencil.py

def get_rank(self) -> int:
    if len(self.res) > 0:
        res_type = self.res[0].type
        assert isa(res_type, TempType[Attribute])
        return res_type.get_num_dims()
    else:
        assert self.bounds is not None
        return len(self.bounds.lb)

get_accesses() -> Iterable[AccessPattern]

Return the access patterns of each input.

• An offset is a tuple describing a relative access
• An access pattern is a class wrapping a sequence of offsets
• This method returns an access pattern for each stencil field of the apply operation.

Source code in xdsl/dialects/stencil.py

def get_accesses(self) -> Iterable[AccessPattern]:
    """
    Return the access patterns of each input.

     - An offset is a tuple describing a relative access
     - An access pattern is a class wrapping a sequence of offsets
     - This method returns an access pattern for each stencil
       field of the apply operation.
    """
    # iterate over the block arguments
    for arg in self.region.block.args:
        accesses: list[tuple[int, ...]] = []
        # walk the uses of the argument
        for use in arg.uses:
            # filter out all non access ops
            if not isinstance(use.operation, AccessOp):
                continue
            access: AccessOp = use.operation
            # grab the offsets as a tuple[int, ...]
            offsets = tuple(access.offset)
            # account for offset_mappings:
            if (
                access.offset_mapping is not None
                and len(offsets) == self.get_rank()
            ):
                offsets = tuple(offsets[i] for i in access.offset_mapping)
            accesses.append(offsets)
        yield AccessPattern(tuple(accesses))

get_bounds()

Source code in xdsl/dialects/stencil.py

def get_bounds(self):
    if self.bounds is not None:
        return self.bounds
    else:
        assert self.res
        res_type = self.res[0].type
        return res_type.bounds

AllocOpEffect dataclass

Bases: MemoryEffect

Source code in xdsl/dialects/stencil.py

class AllocOpEffect(MemoryEffect):
    @classmethod
    def get_effects(cls, op: Operation):
        return {EffectInstance(MemoryEffectKind.ALLOC, cast(AllocOp, op).field)}

get_effects(op: Operation) classmethod

Source code in xdsl/dialects/stencil.py

@classmethod
def get_effects(cls, op: Operation):
    return {EffectInstance(MemoryEffectKind.ALLOC, cast(AllocOp, op).field)}

AllocOp dataclass

Bases: IRDLOperation

Source code in xdsl/dialects/stencil.py

@irdl_op_definition
class AllocOp(IRDLOperation):
    name = "stencil.alloc"

    field = result_def(FieldType[Attribute])

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

    traits = traits_def(AllocOpEffect())

name = 'stencil.alloc' class-attribute instance-attribute

field = result_def(FieldType[Attribute]) class-attribute instance-attribute

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

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

CastOpHasCanonicalizationPatternsTrait dataclass

Bases: HasCanonicalizationPatternsTrait

Source code in xdsl/dialects/stencil.py

class CastOpHasCanonicalizationPatternsTrait(HasCanonicalizationPatternsTrait):
    @classmethod
    def get_canonicalization_patterns(cls) -> tuple[RewritePattern, ...]:
        from xdsl.transforms.canonicalization_patterns.stencil import (
            RemoveCastWithNoEffect,
        )

        return (RemoveCastWithNoEffect(),)

get_canonicalization_patterns() -> tuple[RewritePattern, ...] classmethod

Source code in xdsl/dialects/stencil.py

@classmethod
def get_canonicalization_patterns(cls) -> tuple[RewritePattern, ...]:
    from xdsl.transforms.canonicalization_patterns.stencil import (
        RemoveCastWithNoEffect,
    )

    return (RemoveCastWithNoEffect(),)

CastOp

Bases: IRDLOperation

This operation casts dynamically shaped input fields to statically shaped fields.

Example

%0 = stencil.cast %in : !stencil.field<?x?x?xf64> -> !stencil.field<70x70x60xf64> # noqa

Source code in xdsl/dialects/stencil.py

@irdl_op_definition
class CastOp(IRDLOperation):
    """
    This operation casts dynamically shaped input fields to statically shaped fields.

    Example:
        %0 = stencil.cast %in : !stencil.field<?x?x?xf64> -> !stencil.field<70x70x60xf64> # noqa
    """

    name = "stencil.cast"

    field = operand_def(
        FieldType[Attribute].constr(
            element_type=MessageConstraint(
                VarConstraint("T", AnyAttr()),
                "Input and output fields must have the same element types",
            )
        )
    )
    result = result_def(
        FieldType[Attribute].constr(
            element_type=MessageConstraint(
                VarConstraint("T", AnyAttr()),
                "Input and output fields must have the same element types",
            )
        )
    )

    assembly_format = (
        "$field attr-dict-with-keyword `:` type($field) `->` type($result)"
    )

    traits = traits_def(NoMemoryEffect(), CastOpHasCanonicalizationPatternsTrait())

    def __init__(
        self,
        field: SSAValue | Operation,
        bounds: StencilBoundsAttr,
        res_type: FieldType[_FieldTypeElement] | FieldType[Attribute] | None = None,
    ):
        field_ssa = SSAValue.get(field, type=FieldType)
        if res_type is None:
            res_type = FieldType(
                bounds,
                field_ssa.type.element_type,
            )
        super().__init__(
            operands=[field],
            result_types=[res_type],
        )

    @deprecated("Please use the default constructor instead")
    @staticmethod
    def get(
        field: SSAValue | Operation,
        bounds: StencilBoundsAttr,
        res_type: FieldType[_FieldTypeElement] | FieldType[Attribute] | None = None,
    ) -> CastOp:
        return CastOp(field, bounds, res_type)

    def verify_(self) -> None:
        # this should be fine, verify() already checks them:
        assert isa(self.field.type, FieldType[Attribute])
        assert isa(self.result.type, FieldType[Attribute])
        if self.field.type.get_num_dims() != self.result.type.get_num_dims():
            raise VerifyException("Input and output types must have the same rank")

        if (
            isinstance(self.field.type.bounds, StencilBoundsAttr)
            and self.field.type.bounds != self.result.type.bounds
        ):
            raise VerifyException(
                "If input shape is not dynamic, it must be the same as output"
            )

name = 'stencil.cast' class-attribute instance-attribute

field = operand_def(FieldType[Attribute].constr(element_type=(MessageConstraint(VarConstraint('T', AnyAttr()), 'Input and output fields must have the same element types')))) class-attribute instance-attribute

result = result_def(FieldType[Attribute].constr(element_type=(MessageConstraint(VarConstraint('T', AnyAttr()), 'Input and output fields must have the same element types')))) class-attribute instance-attribute

assembly_format = '$field attr-dict-with-keyword `:` type($field) `->` type($result)' class-attribute instance-attribute

traits = traits_def(NoMemoryEffect(), CastOpHasCanonicalizationPatternsTrait()) class-attribute instance-attribute

__init__(field: SSAValue | Operation, bounds: StencilBoundsAttr, res_type: FieldType[_FieldTypeElement] | FieldType[Attribute] | None = None)

Source code in xdsl/dialects/stencil.py

def __init__(
    self,
    field: SSAValue | Operation,
    bounds: StencilBoundsAttr,
    res_type: FieldType[_FieldTypeElement] | FieldType[Attribute] | None = None,
):
    field_ssa = SSAValue.get(field, type=FieldType)
    if res_type is None:
        res_type = FieldType(
            bounds,
            field_ssa.type.element_type,
        )
    super().__init__(
        operands=[field],
        result_types=[res_type],
    )

get(field: SSAValue | Operation, bounds: StencilBoundsAttr, res_type: FieldType[_FieldTypeElement] | FieldType[Attribute] | None = None) -> CastOp staticmethod

Source code in xdsl/dialects/stencil.py

@deprecated("Please use the default constructor instead")
@staticmethod
def get(
    field: SSAValue | Operation,
    bounds: StencilBoundsAttr,
    res_type: FieldType[_FieldTypeElement] | FieldType[Attribute] | None = None,
) -> CastOp:
    return CastOp(field, bounds, res_type)

verify_() -> None

Source code in xdsl/dialects/stencil.py

def verify_(self) -> None:
    # this should be fine, verify() already checks them:
    assert isa(self.field.type, FieldType[Attribute])
    assert isa(self.result.type, FieldType[Attribute])
    if self.field.type.get_num_dims() != self.result.type.get_num_dims():
        raise VerifyException("Input and output types must have the same rank")

    if (
        isinstance(self.field.type.bounds, StencilBoundsAttr)
        and self.field.type.bounds != self.result.type.bounds
    ):
        raise VerifyException(
            "If input shape is not dynamic, it must be the same as output"
        )

CombineOpHasShapeInferencePatternsTrait dataclass

Bases: HasShapeInferencePatternsTrait

Source code in xdsl/dialects/stencil.py

class CombineOpHasShapeInferencePatternsTrait(HasShapeInferencePatternsTrait):
    @classmethod
    def get_shape_inference_patterns(cls) -> tuple[RewritePattern, ...]:
        from xdsl.transforms.shape_inference_patterns.stencil import (
            CombineOpShapeInference,
        )

        return (CombineOpShapeInference(),)

get_shape_inference_patterns() -> tuple[RewritePattern, ...] classmethod

Source code in xdsl/dialects/stencil.py

@classmethod
def get_shape_inference_patterns(cls) -> tuple[RewritePattern, ...]:
    from xdsl.transforms.shape_inference_patterns.stencil import (
        CombineOpShapeInference,
    )

    return (CombineOpShapeInference(),)

CombineOp dataclass

Bases: IRDLOperation

Combines the results computed on a lower with the results computed on
an upper domain. The operation combines the domain at a given index/offset
in a given dimension. Optional extra operands allow to combine values
that are only written / defined on the lower or upper subdomain. The result
values have the order upper/lower, lowerext, upperext.

Example:
  `%res1, %res2 = stencil.combine 1 at 11 lower = (%0 : !stencil.temp<?x?x?xf64>) upper = (%1 : !stencil.temp<?x?x?xf64>) lowerext = (%2 : !stencil.temp<?x?x?xf64>): !stencil.temp<?x?x?xf64>, !stencil.temp<?x?x?xf64>`
Can be illustrated as:

    dim   1       offset                   offset
         ┌──►      (=11)                    (=11)
       0 │          │                        │
         ▼ ┌────────┼─────────┐     ┌────────┼─────────┐
           │        │         │     │        │         │
           │        │         │     │        │         │
      %res1│  lower │ upper   │     │lowerext│         │%res2
           │    %0  │   %1    │     │    %0  │         │
           │        │         │     │        │         │
           │        │         │     │        │         │
           └────────┼─────────┘     └────────┼─────────┘
                    │                        │

Source code in xdsl/dialects/stencil.py

@irdl_op_definition
class CombineOp(IRDLOperation):
    """
        Combines the results computed on a lower with the results computed on
        an upper domain. The operation combines the domain at a given index/offset
        in a given dimension. Optional extra operands allow to combine values
        that are only written / defined on the lower or upper subdomain. The result
        values have the order upper/lower, lowerext, upperext.

        Example:
          `%res1, %res2 = stencil.combine 1 at 11 lower = (%0 : !stencil.temp<?x?x?xf64>) upper = (%1 : !stencil.temp<?x?x?xf64>) lowerext = (%2 : !stencil.temp<?x?x?xf64>): !stencil.temp<?x?x?xf64>, !stencil.temp<?x?x?xf64>`
        Can be illustrated as:
    ```
        dim   1       offset                   offset
             ┌──►      (=11)                    (=11)
           0 │          │                        │
             ▼ ┌────────┼─────────┐     ┌────────┼─────────┐
               │        │         │     │        │         │
               │        │         │     │        │         │
          %res1│  lower │ upper   │     │lowerext│         │%res2
               │    %0  │   %1    │     │    %0  │         │
               │        │         │     │        │         │
               │        │         │     │        │         │
               └────────┼─────────┘     └────────┼─────────┘
                        │                        │
    ```
    """  # noqa: E501

    name = "stencil.combine"

    dim = attr_def(IntegerAttr[IndexType])
    index = attr_def(IntegerAttr[IndexType])
    lower = var_operand_def(TempType)
    upper = var_operand_def(TempType)
    lowerext = var_operand_def(TempType)
    upperext = var_operand_def(TempType)
    results_ = var_result_def(TempType)

    traits = traits_def(
        Pure(),
        CombineOpHasShapeInferencePatternsTrait(),
    )

    assembly_format = "$dim `at` $index `lower` `=` `(` $lower `:` type($lower) `)` `upper` `=` `(` $upper `:` type($upper) `)` (`lowerext` `=` $lowerext^ `:` type($lowerext))? (`upperext` `=` $upperext^ `:` type($upperext))? attr-dict-with-keyword `:` type($results_)"  # noqa: E501

    irdl_options = (AttrSizedOperandSegments(),)

name = 'stencil.combine' class-attribute instance-attribute

dim = attr_def(IntegerAttr[IndexType]) class-attribute instance-attribute

index = attr_def(IntegerAttr[IndexType]) class-attribute instance-attribute

lower = var_operand_def(TempType) class-attribute instance-attribute

upper = var_operand_def(TempType) class-attribute instance-attribute

lowerext = var_operand_def(TempType) class-attribute instance-attribute

upperext = var_operand_def(TempType) class-attribute instance-attribute

results_ = var_result_def(TempType) class-attribute instance-attribute

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

assembly_format = '$dim `at` $index `lower` `=` `(` $lower `:` type($lower) `)` `upper` `=` `(` $upper `:` type($upper) `)` (`lowerext` `=` $lowerext^ `:` type($lowerext))? (`upperext` `=` $upperext^ `:` type($upperext))? attr-dict-with-keyword `:` type($results_)' class-attribute instance-attribute

irdl_options = (AttrSizedOperandSegments(),) class-attribute instance-attribute

DynAccessOpHasShapeInferencePatternsTrait dataclass

Bases: HasShapeInferencePatternsTrait

Source code in xdsl/dialects/stencil.py

class DynAccessOpHasShapeInferencePatternsTrait(HasShapeInferencePatternsTrait):
    @classmethod
    def get_shape_inference_patterns(cls):
        from xdsl.transforms.shape_inference_patterns.stencil import (
            DynAccessOpShapeInference,
        )

        return (DynAccessOpShapeInference(),)

get_shape_inference_patterns() classmethod

Source code in xdsl/dialects/stencil.py

@classmethod
def get_shape_inference_patterns(cls):
    from xdsl.transforms.shape_inference_patterns.stencil import (
        DynAccessOpShapeInference,
    )

    return (DynAccessOpShapeInference(),)

DynAccessOp

Bases: IRDLOperation

This operation accesses a temporary element given a dynamic offset. The offset is specified in absolute coordinates. An additional range attribute specifies the maximal access extent relative to the iteration domain of the parent apply operation.

Example

%0 = stencil.dyn_access %temp [%i, %j, %k] in [-1, -1, -1] : [1, 1, 1] : !stencil.temp<?x?x?xf64>

Source code in xdsl/dialects/stencil.py

@irdl_op_definition
class DynAccessOp(IRDLOperation):
    """
    This operation accesses a temporary element given a dynamic offset.
    The offset is specified in absolute coordinates. An additional
    range attribute specifies the maximal access extent relative to the
    iteration domain of the parent apply operation.

    Example:
      %0 = stencil.dyn_access %temp [%i, %j, %k] in [-1, -1, -1] : [1, 1, 1] : !stencil.temp<?x?x?xf64>
    """

    name = "stencil.dyn_access"

    temp = operand_def(
        StencilType[Attribute].constr(
            element_type=MessageConstraint(
                VarConstraint("T", AnyAttr()),
                "Expected result type to be the accessed temp's element type.",
            )
        )
    )

    offset = var_operand_def(builtin.IndexType())
    lb = attr_def(IndexAttr)
    ub = attr_def(IndexAttr)

    res = result_def(
        MessageConstraint(
            VarConstraint("T", AnyAttr()),
            "Expected result type to be the accessed temp's element type.",
        )
    )

    assembly_format = (
        "$temp `[` $offset `]` `in` $lb `:` $ub attr-dict-with-keyword `:` type($temp)"
    )

    traits = traits_def(
        HasAncestor(ApplyOp),
        NoMemoryEffect(),
        DynAccessOpHasShapeInferencePatternsTrait(),
    )

    def __init__(
        self,
        temp: SSAValue | Operation,
        offset: Sequence[SSAValue | Operation],
        lb: IndexAttr,
        ub: IndexAttr,
    ):
        temp_type = SSAValue.get(temp, type=TempType).type
        super().__init__(
            operands=[temp, list(offset)],
            attributes={"lb": lb, "ub": ub},
            result_types=[temp_type.element_type],
        )

name = 'stencil.dyn_access' class-attribute instance-attribute

temp = operand_def(StencilType[Attribute].constr(element_type=(MessageConstraint(VarConstraint('T', AnyAttr()), "Expected result type to be the accessed temp's element type.")))) class-attribute instance-attribute

offset = var_operand_def(builtin.IndexType()) class-attribute instance-attribute

lb = attr_def(IndexAttr) class-attribute instance-attribute

ub = attr_def(IndexAttr) class-attribute instance-attribute

res = result_def(MessageConstraint(VarConstraint('T', AnyAttr()), "Expected result type to be the accessed temp's element type.")) class-attribute instance-attribute

assembly_format = '$temp `[` $offset `]` `in` $lb `:` $ub attr-dict-with-keyword `:` type($temp)' class-attribute instance-attribute

traits = traits_def(HasAncestor(ApplyOp), NoMemoryEffect(), DynAccessOpHasShapeInferencePatternsTrait()) class-attribute instance-attribute

__init__(temp: SSAValue | Operation, offset: Sequence[SSAValue | Operation], lb: IndexAttr, ub: IndexAttr)

Source code in xdsl/dialects/stencil.py

def __init__(
    self,
    temp: SSAValue | Operation,
    offset: Sequence[SSAValue | Operation],
    lb: IndexAttr,
    ub: IndexAttr,
):
    temp_type = SSAValue.get(temp, type=TempType).type
    super().__init__(
        operands=[temp, list(offset)],
        attributes={"lb": lb, "ub": ub},
        result_types=[temp_type.element_type],
    )

ExternalLoadOp

Bases: IRDLOperation

This operation loads from an external field type, e.g. to bring data into the stencil

Example

%0 = stencil.external_load %in : !fir.array<128x128xf64> -> !stencil.field<128x128xf64>

Source code in xdsl/dialects/stencil.py

@irdl_op_definition
class ExternalLoadOp(IRDLOperation):
    """
    This operation loads from an external field type, e.g. to bring data into the stencil

    Example:
      %0 = stencil.external_load %in : !fir.array<128x128xf64> -> !stencil.field<128x128xf64>
    """

    name = "stencil.external_load"
    field = operand_def(Attribute)
    result = result_def(base(FieldType[Attribute]) | MemRefType.constr())

    assembly_format = (
        "$field attr-dict-with-keyword `:` type($field) `->` type($result)"
    )

    def __init__(
        self,
        arg: SSAValue | Operation,
        res_type: FieldType[Attribute] | memref.MemRefType,
    ):
        super().__init__(operands=[arg], result_types=[res_type])

    @deprecated("Please use the default constructor instead")
    @staticmethod
    def get(
        arg: SSAValue | Operation,
        res_type: FieldType[Attribute] | memref.MemRefType,
    ):
        return ExternalLoadOp(arg, res_type)

name = 'stencil.external_load' class-attribute instance-attribute

field = operand_def(Attribute) class-attribute instance-attribute

result = result_def(base(FieldType[Attribute]) | MemRefType.constr()) class-attribute instance-attribute

assembly_format = '$field attr-dict-with-keyword `:` type($field) `->` type($result)' class-attribute instance-attribute

__init__(arg: SSAValue | Operation, res_type: FieldType[Attribute] | memref.MemRefType)

Source code in xdsl/dialects/stencil.py

def __init__(
    self,
    arg: SSAValue | Operation,
    res_type: FieldType[Attribute] | memref.MemRefType,
):
    super().__init__(operands=[arg], result_types=[res_type])

get(arg: SSAValue | Operation, res_type: FieldType[Attribute] | memref.MemRefType) staticmethod

Source code in xdsl/dialects/stencil.py

@deprecated("Please use the default constructor instead")
@staticmethod
def get(
    arg: SSAValue | Operation,
    res_type: FieldType[Attribute] | memref.MemRefType,
):
    return ExternalLoadOp(arg, res_type)

ExternalStoreOp dataclass

Bases: IRDLOperation

This operation takes a stencil field and then stores this to an external type

Example

stencil.store %temp to %field : !stencil.field<128x128xf64> to !fir.array<128x128xf64> # noqa

Source code in xdsl/dialects/stencil.py

@irdl_op_definition
class ExternalStoreOp(IRDLOperation):
    """
    This operation takes a stencil field and then stores this to an external type

    Example:
      stencil.store %temp to %field : !stencil.field<128x128xf64> to !fir.array<128x128xf64> # noqa
    """

    name = "stencil.external_store"
    temp = operand_def(FieldType)
    field = operand_def(Attribute)

    assembly_format = (
        "$temp `to` $field attr-dict-with-keyword `:` type($temp) `to` type($field)"
    )

name = 'stencil.external_store' class-attribute instance-attribute

temp = operand_def(FieldType) class-attribute instance-attribute

field = operand_def(Attribute) class-attribute instance-attribute

assembly_format = '$temp `to` $field attr-dict-with-keyword `:` type($temp) `to` type($field)' class-attribute instance-attribute

IndexOp dataclass

Bases: IRDLOperation

This operation returns the index of the current loop iteration for the chosen direction (0, 1, or 2). The offset is specified relative to the current position.

Example

%0 = stencil.index 0 [-1, 0, 0]

Source code in xdsl/dialects/stencil.py

@irdl_op_definition
class IndexOp(IRDLOperation):
    """
    This operation returns the index of the current loop iteration for the
    chosen direction (0, 1, or 2).
    The offset is specified relative to the current position.

    Example:
      %0 = stencil.index 0 [-1, 0, 0]
    """

    name = "stencil.index"
    dim = attr_def(IntegerAttr[IndexType])
    offset = attr_def(IndexAttr)
    idx = result_def(builtin.IndexType())

    assembly_format = "$dim $offset attr-dict-with-keyword"

    traits = traits_def(HasAncestor(ApplyOp), Pure())

    def get_apply(self):
        """
        Simple helper to get the parent apply and raise otherwise.
        """
        trait = self.get_trait(HasAncestor(ApplyOp))
        assert trait is not None
        ancestor = trait.get_ancestor(self)
        if ancestor is None:
            raise ValueError(
                "stencil.apply not found, this function should be called on"
                "verified accesses only."
            )
        return cast(ApplyOp, ancestor)

name = 'stencil.index' class-attribute instance-attribute

dim = attr_def(IntegerAttr[IndexType]) class-attribute instance-attribute

offset = attr_def(IndexAttr) class-attribute instance-attribute

idx = result_def(builtin.IndexType()) class-attribute instance-attribute

assembly_format = '$dim $offset attr-dict-with-keyword' class-attribute instance-attribute

traits = traits_def(HasAncestor(ApplyOp), Pure()) class-attribute instance-attribute

get_apply()

Simple helper to get the parent apply and raise otherwise.

Source code in xdsl/dialects/stencil.py

def get_apply(self):
    """
    Simple helper to get the parent apply and raise otherwise.
    """
    trait = self.get_trait(HasAncestor(ApplyOp))
    assert trait is not None
    ancestor = trait.get_ancestor(self)
    if ancestor is None:
        raise ValueError(
            "stencil.apply not found, this function should be called on"
            "verified accesses only."
        )
    return cast(ApplyOp, ancestor)

AccessOpHasShapeInferencePatternsTrait dataclass

Bases: HasShapeInferencePatternsTrait

Source code in xdsl/dialects/stencil.py

class AccessOpHasShapeInferencePatternsTrait(HasShapeInferencePatternsTrait):
    @classmethod
    def get_shape_inference_patterns(cls) -> tuple[RewritePattern, ...]:
        from xdsl.transforms.shape_inference_patterns.stencil import (
            AccessOpShapeInference,
        )

        return (AccessOpShapeInference(),)

get_shape_inference_patterns() -> tuple[RewritePattern, ...] classmethod

Source code in xdsl/dialects/stencil.py

@classmethod
def get_shape_inference_patterns(cls) -> tuple[RewritePattern, ...]:
    from xdsl.transforms.shape_inference_patterns.stencil import (
        AccessOpShapeInference,
    )

    return (AccessOpShapeInference(),)

AccessOp

Bases: IRDLOperation

This operation accesses a value from a stencil.temp given the specified offset. offset. The offset is specified relative to the current position.

The optional offset mapping will determine which offset corresponds to which result dimension and is needed when we are accessing an array which has fewer dimensions than the result.

Example

%0 = stencil.access %temp[-1, 0, 0] : !stencil.temp<?x?x?xf64>

Source code in xdsl/dialects/stencil.py

@irdl_op_definition
class AccessOp(IRDLOperation):
    """
    This operation accesses a value from a stencil.temp given the specified offset.
    offset. The offset is specified relative to the current position.

    The optional offset mapping will determine which offset corresponds to which
    result dimension and is needed when we are accessing an array which has fewer
    dimensions than the result.

    Example:
      %0 = stencil.access %temp[-1, 0, 0] : !stencil.temp<?x?x?xf64>
    """

    name = "stencil.access"
    temp = operand_def(
        StencilType[Attribute].constr(
            element_type=MessageConstraint(
                VarConstraint("T", AnyAttr()),
                "Expected return type to match the accessed temp's element type.",
            )
        )
    )
    offset = attr_def(IndexAttr)
    offset_mapping = opt_attr_def(IndexAttr)
    res = result_def(
        MessageConstraint(
            VarConstraint("T", AnyAttr()),
            "Expected return type to match the accessed temp's element type.",
        )
    )

    traits = traits_def(
        HasAncestor(ApplyOp), Pure(), AccessOpHasShapeInferencePatternsTrait()
    )

    def __init__(
        self,
        temp: SSAValue | Operation,
        offset: Sequence[int],
        offset_mapping: Sequence[int] | IndexAttr | None = None,
    ):
        temp_type = SSAValue.get(temp, type=StencilType).type

        attributes: dict[str, Attribute] = {
            "offset": IndexAttr.from_indices(
                *offset,
            ),
        }

        if offset_mapping is not None:
            attributes["offset_mapping"] = IndexAttr.from_indices(*offset_mapping)

        super().__init__(
            operands=[temp],
            attributes=attributes,
            result_types=[temp_type.element_type],
        )

    def print(self, printer: Printer):
        printer.print_string(" ")
        printer.print_operand(self.temp)
        printer.print_op_attributes(
            self.attributes,
            reserved_attr_names={"offset", "offset_mapping"},
            print_keyword=True,
        )

        # IRDL-enforced, not supposed to use custom syntax if not verified
        trait = AccessOp.get_trait(HasAncestor(ApplyOp))
        assert trait is not None
        apply = cast(ApplyOp, trait.get_ancestor(self))

        mapping = self.offset_mapping
        if mapping is None:
            mapping = range(apply.get_rank())
        offset = list(self.offset)

        with printer.in_square_brackets():
            index = 0
            for i in range(apply.get_rank()):
                if i in mapping:
                    printer.print_int(offset[index])
                    index += 1
                else:
                    printer.print_string("_")
                if i != apply.get_rank() - 1:
                    printer.print_string(", ")

        printer.print_string(" : ")
        printer.print_attribute(self.temp.type)

    @classmethod
    def parse(cls, parser: Parser):
        temp = parser.parse_operand()

        index = 0
        offset = list[int]()
        offset_mapping = list[int]()
        parser.parse_punctuation("[")
        while True:
            o = parser.parse_optional_integer()
            if o is None:
                parser.parse_characters("_")
            else:
                offset.append(o)
                offset_mapping.append(index)
            if parser.parse_optional_punctuation("]"):
                break
            parser.parse_punctuation(",")
            index += 1

        attrs = parser.parse_optional_attr_dict_with_keyword(
            {"offset", "offset_mapping"}
        )
        attrs = dict(attrs.data) if attrs else {}
        attrs["offset"] = IndexAttr.from_indices(*offset)
        if offset_mapping:
            attrs["offset_mapping"] = IndexAttr.from_indices(*offset_mapping)
        parser.parse_punctuation(":")
        res_type = parser.parse_attribute()
        if not isa(res_type, StencilType):
            parser.raise_error(
                "Expected return type to be a stencil.temp or stencil.field"
            )
        return cls.build(
            operands=[temp], result_types=[res_type.element_type], attributes=attrs
        )

    @deprecated("Please use the default constructor instead")
    @staticmethod
    def get(
        temp: SSAValue | Operation,
        offset: Sequence[int],
        offset_mapping: Sequence[int] | IndexAttr | None = None,
    ):
        return AccessOp(temp, offset, offset_mapping)

    def verify_(self) -> None:
        # As promised by HasAncestor(ApplyOp)
        trait = AccessOp.get_trait(HasAncestor(ApplyOp))
        assert trait is not None
        apply = trait.get_ancestor(self)
        assert isinstance(apply, ApplyOp)

        # TODO This should be handled by infra, having a way to verify things on ApplyOp
        # **before** its children.
        # cf https://github.com/xdslproject/xdsl/issues/1112
        apply.verify_()

        temp_type = self.temp.type
        assert isa(temp_type, StencilType)
        if temp_type.get_num_dims() != apply.get_rank():
            if self.offset_mapping is None:
                raise VerifyException(
                    f"Expected stencil.access operand to be of rank {apply.get_rank()} "
                    f"to match its parent apply, got {temp_type.get_num_dims()} without "
                    f"explict offset mapping provided"
                )

        if self.offset_mapping is not None and len(self.offset_mapping) != len(
            self.offset
        ):
            raise VerifyException(
                f"Expected stencil.access offset mapping be of length {len(self.offset)} "
                f"to match the provided offsets, but it is {len(self.offset_mapping)} "
                f"instead"
            )

        if self.offset_mapping is not None:
            prev_offset = None
            for prev_offset, offset in pairwise(self.offset_mapping):
                if prev_offset >= offset:
                    raise VerifyException(
                        "Offset mapping in stencil.access must be strictly increasing."
                        "increasing"
                    )
            for offset in self.offset_mapping:
                if offset >= apply.get_rank():
                    raise VerifyException(
                        f"Offset mappings in stencil.access must be within the rank of the "
                        f"apply, got {offset} >= {apply.get_rank()}"
                    )

        if len(self.offset) != temp_type.get_num_dims():
            raise VerifyException(
                f"Expected offset's rank to be {temp_type.get_num_dims()} to match the "
                f"operand's rank, got {len(self.offset)}"
            )

    def get_apply(self):
        """
        Simple helper to get the parent apply and raise otherwise.
        """
        trait = self.get_trait(HasAncestor(ApplyOp))
        assert trait is not None
        ancestor = trait.get_ancestor(self)
        if ancestor is None:
            raise ValueError(
                "stencil.apply not found, this function should be called on"
                "verified accesses only."
            )
        return cast(ApplyOp, ancestor)

name = 'stencil.access' class-attribute instance-attribute

temp = operand_def(StencilType[Attribute].constr(element_type=(MessageConstraint(VarConstraint('T', AnyAttr()), "Expected return type to match the accessed temp's element type.")))) class-attribute instance-attribute

offset = attr_def(IndexAttr) class-attribute instance-attribute

offset_mapping = opt_attr_def(IndexAttr) class-attribute instance-attribute

res = result_def(MessageConstraint(VarConstraint('T', AnyAttr()), "Expected return type to match the accessed temp's element type.")) class-attribute instance-attribute

traits = traits_def(HasAncestor(ApplyOp), Pure(), AccessOpHasShapeInferencePatternsTrait()) class-attribute instance-attribute

__init__(temp: SSAValue | Operation, offset: Sequence[int], offset_mapping: Sequence[int] | IndexAttr | None = None)

Source code in xdsl/dialects/stencil.py

def __init__(
    self,
    temp: SSAValue | Operation,
    offset: Sequence[int],
    offset_mapping: Sequence[int] | IndexAttr | None = None,
):
    temp_type = SSAValue.get(temp, type=StencilType).type

    attributes: dict[str, Attribute] = {
        "offset": IndexAttr.from_indices(
            *offset,
        ),
    }

    if offset_mapping is not None:
        attributes["offset_mapping"] = IndexAttr.from_indices(*offset_mapping)

    super().__init__(
        operands=[temp],
        attributes=attributes,
        result_types=[temp_type.element_type],
    )

print(printer: Printer)

Source code in xdsl/dialects/stencil.py

def print(self, printer: Printer):
    printer.print_string(" ")
    printer.print_operand(self.temp)
    printer.print_op_attributes(
        self.attributes,
        reserved_attr_names={"offset", "offset_mapping"},
        print_keyword=True,
    )

    # IRDL-enforced, not supposed to use custom syntax if not verified
    trait = AccessOp.get_trait(HasAncestor(ApplyOp))
    assert trait is not None
    apply = cast(ApplyOp, trait.get_ancestor(self))

    mapping = self.offset_mapping
    if mapping is None:
        mapping = range(apply.get_rank())
    offset = list(self.offset)

    with printer.in_square_brackets():
        index = 0
        for i in range(apply.get_rank()):
            if i in mapping:
                printer.print_int(offset[index])
                index += 1
            else:
                printer.print_string("_")
            if i != apply.get_rank() - 1:
                printer.print_string(", ")

    printer.print_string(" : ")
    printer.print_attribute(self.temp.type)

parse(parser: Parser) classmethod

Source code in xdsl/dialects/stencil.py

@classmethod
def parse(cls, parser: Parser):
    temp = parser.parse_operand()

    index = 0
    offset = list[int]()
    offset_mapping = list[int]()
    parser.parse_punctuation("[")
    while True:
        o = parser.parse_optional_integer()
        if o is None:
            parser.parse_characters("_")
        else:
            offset.append(o)
            offset_mapping.append(index)
        if parser.parse_optional_punctuation("]"):
            break
        parser.parse_punctuation(",")
        index += 1

    attrs = parser.parse_optional_attr_dict_with_keyword(
        {"offset", "offset_mapping"}
    )
    attrs = dict(attrs.data) if attrs else {}
    attrs["offset"] = IndexAttr.from_indices(*offset)
    if offset_mapping:
        attrs["offset_mapping"] = IndexAttr.from_indices(*offset_mapping)
    parser.parse_punctuation(":")
    res_type = parser.parse_attribute()
    if not isa(res_type, StencilType):
        parser.raise_error(
            "Expected return type to be a stencil.temp or stencil.field"
        )
    return cls.build(
        operands=[temp], result_types=[res_type.element_type], attributes=attrs
    )

get(temp: SSAValue | Operation, offset: Sequence[int], offset_mapping: Sequence[int] | IndexAttr | None = None) staticmethod

Source code in xdsl/dialects/stencil.py

@deprecated("Please use the default constructor instead")
@staticmethod
def get(
    temp: SSAValue | Operation,
    offset: Sequence[int],
    offset_mapping: Sequence[int] | IndexAttr | None = None,
):
    return AccessOp(temp, offset, offset_mapping)

verify_() -> None

Source code in xdsl/dialects/stencil.py

def verify_(self) -> None:
    # As promised by HasAncestor(ApplyOp)
    trait = AccessOp.get_trait(HasAncestor(ApplyOp))
    assert trait is not None
    apply = trait.get_ancestor(self)
    assert isinstance(apply, ApplyOp)

    # TODO This should be handled by infra, having a way to verify things on ApplyOp
    # **before** its children.
    # cf https://github.com/xdslproject/xdsl/issues/1112
    apply.verify_()

    temp_type = self.temp.type
    assert isa(temp_type, StencilType)
    if temp_type.get_num_dims() != apply.get_rank():
        if self.offset_mapping is None:
            raise VerifyException(
                f"Expected stencil.access operand to be of rank {apply.get_rank()} "
                f"to match its parent apply, got {temp_type.get_num_dims()} without "
                f"explict offset mapping provided"
            )

    if self.offset_mapping is not None and len(self.offset_mapping) != len(
        self.offset
    ):
        raise VerifyException(
            f"Expected stencil.access offset mapping be of length {len(self.offset)} "
            f"to match the provided offsets, but it is {len(self.offset_mapping)} "
            f"instead"
        )

    if self.offset_mapping is not None:
        prev_offset = None
        for prev_offset, offset in pairwise(self.offset_mapping):
            if prev_offset >= offset:
                raise VerifyException(
                    "Offset mapping in stencil.access must be strictly increasing."
                    "increasing"
                )
        for offset in self.offset_mapping:
            if offset >= apply.get_rank():
                raise VerifyException(
                    f"Offset mappings in stencil.access must be within the rank of the "
                    f"apply, got {offset} >= {apply.get_rank()}"
                )

    if len(self.offset) != temp_type.get_num_dims():
        raise VerifyException(
            f"Expected offset's rank to be {temp_type.get_num_dims()} to match the "
            f"operand's rank, got {len(self.offset)}"
        )

get_apply()

Simple helper to get the parent apply and raise otherwise.

Source code in xdsl/dialects/stencil.py

def get_apply(self):
    """
    Simple helper to get the parent apply and raise otherwise.
    """
    trait = self.get_trait(HasAncestor(ApplyOp))
    assert trait is not None
    ancestor = trait.get_ancestor(self)
    if ancestor is None:
        raise ValueError(
            "stencil.apply not found, this function should be called on"
            "verified accesses only."
        )
    return cast(ApplyOp, ancestor)

LoadOpHasShapeInferencePatternsTrait dataclass

Bases: HasShapeInferencePatternsTrait

Source code in xdsl/dialects/stencil.py

class LoadOpHasShapeInferencePatternsTrait(HasShapeInferencePatternsTrait):
    @classmethod
    def get_shape_inference_patterns(cls) -> tuple[RewritePattern, ...]:
        from xdsl.transforms.shape_inference_patterns.stencil import (
            LoadOpShapeInference,
        )

        return (LoadOpShapeInference(),)

get_shape_inference_patterns() -> tuple[RewritePattern, ...] classmethod

Source code in xdsl/dialects/stencil.py

@classmethod
def get_shape_inference_patterns(cls) -> tuple[RewritePattern, ...]:
    from xdsl.transforms.shape_inference_patterns.stencil import (
        LoadOpShapeInference,
    )

    return (LoadOpShapeInference(),)

LoadOpMemoryEffect dataclass

Bases: MemoryEffect

Source code in xdsl/dialects/stencil.py

class LoadOpMemoryEffect(MemoryEffect):
    @classmethod
    def get_effects(cls, op: Operation):
        return {EffectInstance(MemoryEffectKind.READ, cast(LoadOp, op).field)}

get_effects(op: Operation) classmethod

Source code in xdsl/dialects/stencil.py

@classmethod
def get_effects(cls, op: Operation):
    return {EffectInstance(MemoryEffectKind.READ, cast(LoadOp, op).field)}

TensorIgnoreSizeConstraint dataclass

Bases: VarConstraint[Attribute]

Source code in xdsl/dialects/stencil.py

class TensorIgnoreSizeConstraint(VarConstraint[Attribute]):
    @staticmethod
    def ranks_and_element_types_match(attr: TensorType, other: Attribute) -> bool:
        return (
            isa(other, TensorType)
            and len(attr.get_shape()) == len(other.get_shape())
            and attr.get_element_type() == other.get_element_type()
        )

    def verify(self, attr: Attribute, constraint_context: ConstraintContext) -> None:
        ctx_attr = constraint_context.get_variable(self.name)
        if ctx_attr is not None:
            if isa(
                attr, TensorType[Attribute]
            ) and TensorIgnoreSizeConstraint.ranks_and_element_types_match(
                attr, ctx_attr
            ):
                return
        super().verify(attr, constraint_context)

ranks_and_element_types_match(attr: TensorType, other: Attribute) -> bool staticmethod

Source code in xdsl/dialects/stencil.py

@staticmethod
def ranks_and_element_types_match(attr: TensorType, other: Attribute) -> bool:
    return (
        isa(other, TensorType)
        and len(attr.get_shape()) == len(other.get_shape())
        and attr.get_element_type() == other.get_element_type()
    )

verify(attr: Attribute, constraint_context: ConstraintContext) -> None

Source code in xdsl/dialects/stencil.py

def verify(self, attr: Attribute, constraint_context: ConstraintContext) -> None:
    ctx_attr = constraint_context.get_variable(self.name)
    if ctx_attr is not None:
        if isa(
            attr, TensorType[Attribute]
        ) and TensorIgnoreSizeConstraint.ranks_and_element_types_match(
            attr, ctx_attr
        ):
            return
    super().verify(attr, constraint_context)

LoadOp

Bases: IRDLOperation

This operation takes a field and returns its values.

Example

%0 = stencil.load %field : !stencil.field<70x70x60xf64> -> !stencil.temp<?x?x?xf64>

Source code in xdsl/dialects/stencil.py

@irdl_op_definition
class LoadOp(IRDLOperation):
    """
    This operation takes a field and returns its values.

    Example:
      %0 = stencil.load %field : !stencil.field<70x70x60xf64> -> !stencil.temp<?x?x?xf64>
    """

    name = "stencil.load"

    field = operand_def(
        FieldType[Attribute].constr(
            bounds=base(StencilBoundsAttr),
            element_type=MessageConstraint(
                TensorIgnoreSizeConstraint("T", AnyAttr()),
                "Expected element types to match.",
            ),
        )
    )
    res = result_def(
        TempType[Attribute].constr(
            element_type=MessageConstraint(
                TensorIgnoreSizeConstraint("T", AnyAttr()),
                "Expected element types to match.",
            )
        )
    )

    assembly_format = "$field attr-dict-with-keyword `:` type($field) `->` type($res)"

    traits = traits_def(LoadOpHasShapeInferencePatternsTrait(), LoadOpMemoryEffect())

    def __init__(
        self,
        field: SSAValue | Operation,
        lb: IndexAttr | None = None,
        ub: IndexAttr | None = None,
    ):
        field_type = SSAValue.get(field, type=FieldType).type

        if lb is None or ub is None:
            res_type = TempType(
                IntAttr(field_type.get_num_dims()), field_type.element_type
            )
        else:
            res_type = TempType(StencilBoundsAttr(lb, ub), field_type.element_type)

        super().__init__(
            operands=[field],
            result_types=[res_type],
        )

    @deprecated("Please use the default constructor instead")
    @staticmethod
    def get(
        field: SSAValue | Operation,
        lb: IndexAttr | None = None,
        ub: IndexAttr | None = None,
    ):
        return LoadOp(field, lb, ub)

    def verify_(self) -> None:
        field = self.field.type
        temp = self.res.type
        assert isa(field, FieldType[Attribute])
        assert isa(temp, TempType[Attribute])
        if isinstance(field.bounds, StencilBoundsAttr) and isinstance(
            temp.bounds, StencilBoundsAttr
        ):
            if temp.bounds.lb < field.bounds.lb or temp.bounds.ub > field.bounds.ub:
                raise VerifyException(
                    "The stencil.load is too big for the loaded field."
                )

name = 'stencil.load' class-attribute instance-attribute

field = operand_def(FieldType[Attribute].constr(bounds=(base(StencilBoundsAttr)), element_type=(MessageConstraint(TensorIgnoreSizeConstraint('T', AnyAttr()), 'Expected element types to match.')))) class-attribute instance-attribute

res = result_def(TempType[Attribute].constr(element_type=(MessageConstraint(TensorIgnoreSizeConstraint('T', AnyAttr()), 'Expected element types to match.')))) class-attribute instance-attribute

assembly_format = '$field attr-dict-with-keyword `:` type($field) `->` type($res)' class-attribute instance-attribute

traits = traits_def(LoadOpHasShapeInferencePatternsTrait(), LoadOpMemoryEffect()) class-attribute instance-attribute

__init__(field: SSAValue | Operation, lb: IndexAttr | None = None, ub: IndexAttr | None = None)

Source code in xdsl/dialects/stencil.py

def __init__(
    self,
    field: SSAValue | Operation,
    lb: IndexAttr | None = None,
    ub: IndexAttr | None = None,
):
    field_type = SSAValue.get(field, type=FieldType).type

    if lb is None or ub is None:
        res_type = TempType(
            IntAttr(field_type.get_num_dims()), field_type.element_type
        )
    else:
        res_type = TempType(StencilBoundsAttr(lb, ub), field_type.element_type)

    super().__init__(
        operands=[field],
        result_types=[res_type],
    )

get(field: SSAValue | Operation, lb: IndexAttr | None = None, ub: IndexAttr | None = None) staticmethod

Source code in xdsl/dialects/stencil.py

@deprecated("Please use the default constructor instead")
@staticmethod
def get(
    field: SSAValue | Operation,
    lb: IndexAttr | None = None,
    ub: IndexAttr | None = None,
):
    return LoadOp(field, lb, ub)

verify_() -> None

Source code in xdsl/dialects/stencil.py

def verify_(self) -> None:
    field = self.field.type
    temp = self.res.type
    assert isa(field, FieldType[Attribute])
    assert isa(temp, TempType[Attribute])
    if isinstance(field.bounds, StencilBoundsAttr) and isinstance(
        temp.bounds, StencilBoundsAttr
    ):
        if temp.bounds.lb < field.bounds.lb or temp.bounds.ub > field.bounds.ub:
            raise VerifyException(
                "The stencil.load is too big for the loaded field."
            )

BufferOpHasShapeInferencePatternsTrait dataclass

Bases: HasShapeInferencePatternsTrait

Source code in xdsl/dialects/stencil.py

class BufferOpHasShapeInferencePatternsTrait(HasShapeInferencePatternsTrait):
    @classmethod
    def get_shape_inference_patterns(cls) -> tuple[RewritePattern, ...]:
        from xdsl.transforms.shape_inference_patterns.stencil import (
            BufferOpShapeInference,
        )

        return (BufferOpShapeInference(),)

get_shape_inference_patterns() -> tuple[RewritePattern, ...] classmethod

Source code in xdsl/dialects/stencil.py

@classmethod
def get_shape_inference_patterns(cls) -> tuple[RewritePattern, ...]:
    from xdsl.transforms.shape_inference_patterns.stencil import (
        BufferOpShapeInference,
    )

    return (BufferOpShapeInference(),)

BufferOp

Bases: IRDLOperation

Prevents fusion of consecutive stencil.apply operations.

Example

%0 = stencil.buffer %buffered : (!stencil.temp<?x?x?xf64>)

Source code in xdsl/dialects/stencil.py

@irdl_op_definition
class BufferOp(IRDLOperation):
    """
    Prevents fusion of consecutive stencil.apply operations.

    Example:
      %0 = stencil.buffer %buffered : (!stencil.temp<?x?x?xf64>)
    """

    name = "stencil.buffer"

    temp = operand_def(
        TempType[Attribute].constr(
            bounds=MessageConstraint(
                VarConstraint("B", AnyAttr()),
                "Expected input and output to have the same bounds",
            ),
            element_type=MessageConstraint(
                VarConstraint("E", AnyAttr()),
                "Expected input and output to have the same element type",
            ),
        )
    )
    res = result_def(
        StencilType[Attribute].constr(
            bounds=MessageConstraint(
                VarConstraint("B", AnyAttr()),
                "Expected input and output to have the same bounds",
            ),
            element_type=MessageConstraint(
                VarConstraint("E", AnyAttr()),
                "Expected input and output to have the same element type",
            ),
        )
    )

    assembly_format = "$temp attr-dict-with-keyword `:` type($temp) `->` type($res)"

    traits = traits_def(Pure(), BufferOpHasShapeInferencePatternsTrait())

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

    def verify_(self) -> None:
        # When used as a bufferization op, it should be flexible.
        # This is probably something you don't want to see, but should be valid - it just
        # means bufferization was incomplete.
        if isinstance(self.res.type, FieldType):
            return
        if not isinstance(self.temp.owner, ApplyOp | CombineOp):
            owner = (
                "block argument"
                if isinstance(self.temp.owner, Block)
                else self.temp.owner.name
            )
            raise VerifyException(
                f"Expected stencil.buffer operand to be a result of stencil.apply or stencil.combine got {owner}"
            )
        if any(not isinstance(use.operation, BufferOp) for use in self.temp.uses):
            raise VerifyException(
                "A stencil.buffer's operand temp should only be buffered. You can use "
                "stencil.buffer's output instead!"
            )

name = 'stencil.buffer' class-attribute instance-attribute

temp = operand_def(TempType[Attribute].constr(bounds=(MessageConstraint(VarConstraint('B', AnyAttr()), 'Expected input and output to have the same bounds')), element_type=(MessageConstraint(VarConstraint('E', AnyAttr()), 'Expected input and output to have the same element type')))) class-attribute instance-attribute

res = result_def(StencilType[Attribute].constr(bounds=(MessageConstraint(VarConstraint('B', AnyAttr()), 'Expected input and output to have the same bounds')), element_type=(MessageConstraint(VarConstraint('E', AnyAttr()), 'Expected input and output to have the same element type')))) class-attribute instance-attribute

assembly_format = '$temp attr-dict-with-keyword `:` type($temp) `->` type($res)' class-attribute instance-attribute

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

__init__(temp: SSAValue | Operation)

Source code in xdsl/dialects/stencil.py

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

verify_() -> None

Source code in xdsl/dialects/stencil.py

def verify_(self) -> None:
    # When used as a bufferization op, it should be flexible.
    # This is probably something you don't want to see, but should be valid - it just
    # means bufferization was incomplete.
    if isinstance(self.res.type, FieldType):
        return
    if not isinstance(self.temp.owner, ApplyOp | CombineOp):
        owner = (
            "block argument"
            if isinstance(self.temp.owner, Block)
            else self.temp.owner.name
        )
        raise VerifyException(
            f"Expected stencil.buffer operand to be a result of stencil.apply or stencil.combine got {owner}"
        )
    if any(not isinstance(use.operation, BufferOp) for use in self.temp.uses):
        raise VerifyException(
            "A stencil.buffer's operand temp should only be buffered. You can use "
            "stencil.buffer's output instead!"
        )

StoreOpHasShapeInferencePatternsTrait dataclass

Bases: HasShapeInferencePatternsTrait

Source code in xdsl/dialects/stencil.py

class StoreOpHasShapeInferencePatternsTrait(HasShapeInferencePatternsTrait):
    @classmethod
    def get_shape_inference_patterns(cls) -> tuple[RewritePattern, ...]:
        from xdsl.transforms.shape_inference_patterns.stencil import (
            StoreOpShapeInference,
        )

        return (StoreOpShapeInference(),)

get_shape_inference_patterns() -> tuple[RewritePattern, ...] classmethod

Source code in xdsl/dialects/stencil.py

@classmethod
def get_shape_inference_patterns(cls) -> tuple[RewritePattern, ...]:
    from xdsl.transforms.shape_inference_patterns.stencil import (
        StoreOpShapeInference,
    )

    return (StoreOpShapeInference(),)

StoreOpMemoryEffect dataclass

Bases: MemoryEffect

Source code in xdsl/dialects/stencil.py

class StoreOpMemoryEffect(MemoryEffect):
    @classmethod
    def get_effects(cls, op: Operation):
        return {EffectInstance(MemoryEffectKind.WRITE, cast(StoreOp, op).field)}

get_effects(op: Operation) classmethod

Source code in xdsl/dialects/stencil.py

@classmethod
def get_effects(cls, op: Operation):
    return {EffectInstance(MemoryEffectKind.WRITE, cast(StoreOp, op).field)}

StoreOp

Bases: IRDLOperation

This operation writes values to a field on a user defined range.

Example

stencil.store %temp to %field ([-3, -3, 0] : [67, 67, 60]): !stencil.temp<?x?x?xf64> to !stencil.field<70x70x60xf64> # noqa

Source code in xdsl/dialects/stencil.py

@irdl_op_definition
class StoreOp(IRDLOperation):
    """
    This operation writes values to a field on a user defined range.

    Example:
      stencil.store %temp to %field ([-3, -3, 0] : [67, 67, 60]): !stencil.temp<?x?x?xf64> to !stencil.field<70x70x60xf64>  # noqa
    """

    name = "stencil.store"

    temp = operand_def(
        TempType[Attribute].constr(
            element_type=MessageConstraint(
                TensorIgnoreSizeConstraint("T", AnyAttr()),
                "Input and output fields must have the same element types",
            ),
        )
    )
    field = operand_def(
        FieldType[Attribute].constr(
            bounds=MessageConstraint(
                StencilBoundsAttr, "Output type's size must be explicit"
            ),
            element_type=MessageConstraint(
                TensorIgnoreSizeConstraint("T", AnyAttr()),
                "Input and output fields must have the same element types",
            ),
        )
    )
    bounds = attr_def(StencilBoundsAttr)

    assembly_format = "$temp `to` $field `` `(` $bounds `)` attr-dict-with-keyword `:` type($temp) `to` type($field)"

    traits = traits_def(StoreOpHasShapeInferencePatternsTrait(), StoreOpMemoryEffect())

    def __init__(
        self,
        temp: SSAValue | Operation,
        field: SSAValue | Operation,
        bounds: StencilBoundsAttr,
    ):
        super().__init__(operands=[temp, field], attributes={"bounds": bounds})

    @deprecated("Please use the default constructor instead")
    @staticmethod
    def get(
        temp: SSAValue | Operation,
        field: SSAValue | Operation,
        bounds: StencilBoundsAttr,
    ):
        return StoreOp(temp, field, bounds)

name = 'stencil.store' class-attribute instance-attribute

temp = operand_def(TempType[Attribute].constr(element_type=(MessageConstraint(TensorIgnoreSizeConstraint('T', AnyAttr()), 'Input and output fields must have the same element types')))) class-attribute instance-attribute

field = operand_def(FieldType[Attribute].constr(bounds=(MessageConstraint(StencilBoundsAttr, "Output type's size must be explicit")), element_type=(MessageConstraint(TensorIgnoreSizeConstraint('T', AnyAttr()), 'Input and output fields must have the same element types')))) class-attribute instance-attribute

bounds = attr_def(StencilBoundsAttr) class-attribute instance-attribute

assembly_format = '$temp `to` $field `` `(` $bounds `)` attr-dict-with-keyword `:` type($temp) `to` type($field)' class-attribute instance-attribute

traits = traits_def(StoreOpHasShapeInferencePatternsTrait(), StoreOpMemoryEffect()) class-attribute instance-attribute

__init__(temp: SSAValue | Operation, field: SSAValue | Operation, bounds: StencilBoundsAttr)

Source code in xdsl/dialects/stencil.py

def __init__(
    self,
    temp: SSAValue | Operation,
    field: SSAValue | Operation,
    bounds: StencilBoundsAttr,
):
    super().__init__(operands=[temp, field], attributes={"bounds": bounds})

get(temp: SSAValue | Operation, field: SSAValue | Operation, bounds: StencilBoundsAttr) staticmethod

Source code in xdsl/dialects/stencil.py

@deprecated("Please use the default constructor instead")
@staticmethod
def get(
    temp: SSAValue | Operation,
    field: SSAValue | Operation,
    bounds: StencilBoundsAttr,
):
    return StoreOp(temp, field, bounds)

StoreResultOp dataclass

Bases: IRDLOperation

The store_result operation either stores an operand value or nothing.

Examples:

stencil.store_result %0 : !stencil.result stencil.store_result : !stencil.result

Source code in xdsl/dialects/stencil.py

@irdl_op_definition
class StoreResultOp(IRDLOperation):
    """
    The store_result operation either stores an operand value or nothing.

    Examples:
      stencil.store_result %0 : !stencil.result<f64>
      stencil.store_result : !stencil.result<f64>
    """

    name = "stencil.store_result"

    arg = opt_operand_def(
        MessageConstraint(
            VarConstraint("T", AnyAttr()),
            "Expected return type to carry the operand type.",
        )
    )
    res = result_def(
        ParamAttrConstraint(
            ResultType,
            [
                MessageConstraint(
                    VarConstraint("T", AnyAttr()),
                    "Expected return type to carry the operand type.",
                )
            ],
        )
    )

    assembly_format = "$arg attr-dict-with-keyword `:` type($res)"

    traits = traits_def(HasAncestor(ApplyOp), Pure())

name = 'stencil.store_result' class-attribute instance-attribute

arg = opt_operand_def(MessageConstraint(VarConstraint('T', AnyAttr()), 'Expected return type to carry the operand type.')) class-attribute instance-attribute

res = result_def(ParamAttrConstraint(ResultType, [MessageConstraint(VarConstraint('T', AnyAttr()), 'Expected return type to carry the operand type.')])) class-attribute instance-attribute

assembly_format = '$arg attr-dict-with-keyword `:` type($res)' class-attribute instance-attribute

traits = traits_def(HasAncestor(ApplyOp), Pure()) class-attribute instance-attribute

ReturnOp

Bases: IRDLOperation

The return operation terminates the stencil.apply and writes the results of the stencil operator to the temporary values returned by the stencil.apply operation. The types and the number of operands must match the results of the stencil.apply operation.

The optional unroll attribute enables the implementation of loop unrolling at the stencil dialect level.

Examples:

stencil.return %0 : !stencil.result

Source code in xdsl/dialects/stencil.py

@irdl_op_definition
class ReturnOp(IRDLOperation):
    """
    The return operation terminates the stencil.apply and writes
    the results of the stencil operator to the temporary values returned
    by the stencil.apply operation. The types and the number of operands
    must match the results of the stencil.apply operation.

    The optional unroll attribute enables the implementation of loop
    unrolling at the stencil dialect level.

    Examples:
      stencil.return %0 : !stencil.result<f64>
    """

    name = "stencil.return"

    arg = var_operand_def(Attribute)
    unroll = opt_prop_def(IndexAttr)

    assembly_format = "$arg (`unroll` $unroll^)? attr-dict-with-keyword `:` type($arg)"

    @property
    def unroll_factor(self) -> int:
        if self.unroll is None:
            return 1
        return prod(self.unroll)

    traits = traits_def(HasParent(ApplyOp), IsTerminator(), Pure())

    def __init__(self, res: Sequence[SSAValue | Operation]):
        super().__init__(operands=[res])

    @deprecated("Please use the default constructor instead")
    @staticmethod
    def get(res: Sequence[SSAValue | Operation]):
        return ReturnOp(res)

    def verify_(self) -> None:
        unroll_factor = self.unroll_factor
        types = [ot.elem if isinstance(ot, ResultType) else ot for ot in self.arg.types]
        apply = cast(ApplyOp, self.parent_op())
        if len(apply.res) > 0:
            res_types = [r.type.element_type for r in apply.res]
        else:
            res_types = [
                cast(FieldType[Attribute], o.type).element_type for o in apply.dest
            ]
        if len(types) != len(res_types) * unroll_factor:
            raise VerifyException(
                f"stencil.return expected {len(res_types) * unroll_factor} operands to match the parent "
                f"stencil.apply result types, got {len(types)}"
            )
        # stencil.return returns `unroll_factor` values per stencil.apply result
        # This checks types are consistent for each of those.
        for i, res_type in enumerate(res_types):
            for j in range(unroll_factor * i, unroll_factor * (i + 1)):
                op_type = types[j]
                if op_type != res_type and not (
                    isa(op_type, TensorType)
                    and TensorIgnoreSizeConstraint.ranks_and_element_types_match(
                        op_type, res_type
                    )
                ):
                    raise VerifyException(
                        "stencil.return expected operand types to match the parent "
                        f"stencil.apply result element types. Got {op_type} at index "
                        f"{j}, expected {res_type}."
                    )

name = 'stencil.return' class-attribute instance-attribute

arg = var_operand_def(Attribute) class-attribute instance-attribute

unroll = opt_prop_def(IndexAttr) class-attribute instance-attribute

assembly_format = '$arg (`unroll` $unroll^)? attr-dict-with-keyword `:` type($arg)' class-attribute instance-attribute

unroll_factor: int property

traits = traits_def(HasParent(ApplyOp), IsTerminator(), Pure()) class-attribute instance-attribute

__init__(res: Sequence[SSAValue | Operation])

Source code in xdsl/dialects/stencil.py

def __init__(self, res: Sequence[SSAValue | Operation]):
    super().__init__(operands=[res])

get(res: Sequence[SSAValue | Operation]) staticmethod

Source code in xdsl/dialects/stencil.py

@deprecated("Please use the default constructor instead")
@staticmethod
def get(res: Sequence[SSAValue | Operation]):
    return ReturnOp(res)

verify_() -> None

Source code in xdsl/dialects/stencil.py

def verify_(self) -> None:
    unroll_factor = self.unroll_factor
    types = [ot.elem if isinstance(ot, ResultType) else ot for ot in self.arg.types]
    apply = cast(ApplyOp, self.parent_op())
    if len(apply.res) > 0:
        res_types = [r.type.element_type for r in apply.res]
    else:
        res_types = [
            cast(FieldType[Attribute], o.type).element_type for o in apply.dest
        ]
    if len(types) != len(res_types) * unroll_factor:
        raise VerifyException(
            f"stencil.return expected {len(res_types) * unroll_factor} operands to match the parent "
            f"stencil.apply result types, got {len(types)}"
        )
    # stencil.return returns `unroll_factor` values per stencil.apply result
    # This checks types are consistent for each of those.
    for i, res_type in enumerate(res_types):
        for j in range(unroll_factor * i, unroll_factor * (i + 1)):
            op_type = types[j]
            if op_type != res_type and not (
                isa(op_type, TensorType)
                and TensorIgnoreSizeConstraint.ranks_and_element_types_match(
                    op_type, res_type
                )
            ):
                raise VerifyException(
                    "stencil.return expected operand types to match the parent "
                    f"stencil.apply result element types. Got {op_type} at index "
                    f"{j}, expected {res_type}."
                )

AccessPattern dataclass

Represents access patterns of a stencil.apply operation.

Contains helpers to get common information about accesses such as diagonals.

Source code in xdsl/dialects/stencil.py

@dataclass(frozen=True)
class AccessPattern:
    """
    Represents access patterns of a stencil.apply operation.

    Contains helpers to get common information about accesses such as diagonals.
    """

    offsets: tuple[tuple[int, ...], ...]

    @property
    def dims(self):
        """
        Dimensionality of the accesses.
        """
        if not self.offsets:
            return 0
        return len(self.offsets[0])

    @property
    def is_diagonal(self) -> bool:
        """
        Check if the access pattern has diagonal accesses.
        """
        for _ in self.get_diagonals():
            return True
        return False

    def get_diagonals(self, degree: int = 2) -> Iterable[tuple[int, ...]]:
        """
        Returns all offsets that have <degree=2> or more non-zero entries.

        For <degree> >= 2 this makes them diagonals.

        For <degree> = 1 it returns all accesses that are nonzero.
        """
        for ax in self.offsets:
            # get the number of nonzero entries in offset
            if sum(1 if x != 0 else 0 for x in ax) >= degree:
                yield ax

    def halo_in_axis(self, axis: int) -> tuple[int, int]:
        """
        Returns the minimum and maximum access distance for a single axis.
        """
        left, right = 0, 0
        for ax in self.offsets:
            left = min(ax[axis], left)
            right = max(ax[axis], right)
        return left, right

    def halos(self) -> tuple[tuple[int, int], ...]:
        """
        Return a tuple containing the maximum and minimum offsets in each axis.
        E.g. ((-2, 2), (-1, 1)) represents a pattern that accesses cells at most
        (-2, 2) away in the x-axis, and -1, 1 away in the y-axis.
        """
        n = self.dims
        lefts, rights = [0] * n, [0] * n
        for ax in self.offsets:
            for axis in range(n):
                lefts[axis] = min(ax[axis], lefts[axis])
                rights[axis] = max(ax[axis], rights[axis])
        return tuple(zip(lefts, rights))

    def max_distance(self) -> int:
        """
        Returns the maximum absolute accessed distance across all axes.
        """
        res = 0
        for ax in self.offsets:
            res = max(res, max(abs(a) for a in ax))
        return res

    def visual_pattern(self) -> str:
        """
        Returns a visual equivalent of the access pattern, only works for 1d and 2d.

        Returns patterns where O signifies the center point and X represents an access.
        E.g.:

         X
        XOX
         X

        For a 2d-4pt stencil.
        """
        # handle special cases:
        if self.dims == 0:
            return "O"
        elif self.dims > 2:
            return "Too many dimensions in access"
        elif self.dims == 1:
            halos = (self.halo_in_axis(0), (0, 0))
        else:
            halos = self.halos()
        x_axis_halo, y_axis_halo = halos
        # construct a matrix of the required size:
        points = [
            [" " for _ in range(y_axis_halo[1] - y_axis_halo[0] + 1)]
            for __ in range(x_axis_halo[1] - x_axis_halo[0] + 1)
        ]
        # set the center point:
        points[-x_axis_halo[0]][-y_axis_halo[0]] = "O"
        # set each access:
        for access in self.offsets:
            points[access[0] - x_axis_halo[0]][access[1] - y_axis_halo[0]] = "X"
        # construct the string:
        return "\n".join("".join(row) for row in points)

offsets: tuple[tuple[int, ...], ...] instance-attribute

dims property

Dimensionality of the accesses.

is_diagonal: bool property

Check if the access pattern has diagonal accesses.

__init__(offsets: tuple[tuple[int, ...], ...]) -> None

get_diagonals(degree: int = 2) -> Iterable[tuple[int, ...]]

Returns all offsets that have or more non-zero entries.

For >= 2 this makes them diagonals.

For = 1 it returns all accesses that are nonzero.

Source code in xdsl/dialects/stencil.py

def get_diagonals(self, degree: int = 2) -> Iterable[tuple[int, ...]]:
    """
    Returns all offsets that have <degree=2> or more non-zero entries.

    For <degree> >= 2 this makes them diagonals.

    For <degree> = 1 it returns all accesses that are nonzero.
    """
    for ax in self.offsets:
        # get the number of nonzero entries in offset
        if sum(1 if x != 0 else 0 for x in ax) >= degree:
            yield ax

halo_in_axis(axis: int) -> tuple[int, int]

Returns the minimum and maximum access distance for a single axis.

Source code in xdsl/dialects/stencil.py

def halo_in_axis(self, axis: int) -> tuple[int, int]:
    """
    Returns the minimum and maximum access distance for a single axis.
    """
    left, right = 0, 0
    for ax in self.offsets:
        left = min(ax[axis], left)
        right = max(ax[axis], right)
    return left, right

halos() -> tuple[tuple[int, int], ...]

Return a tuple containing the maximum and minimum offsets in each axis. E.g. ((-2, 2), (-1, 1)) represents a pattern that accesses cells at most (-2, 2) away in the x-axis, and -1, 1 away in the y-axis.

Source code in xdsl/dialects/stencil.py

def halos(self) -> tuple[tuple[int, int], ...]:
    """
    Return a tuple containing the maximum and minimum offsets in each axis.
    E.g. ((-2, 2), (-1, 1)) represents a pattern that accesses cells at most
    (-2, 2) away in the x-axis, and -1, 1 away in the y-axis.
    """
    n = self.dims
    lefts, rights = [0] * n, [0] * n
    for ax in self.offsets:
        for axis in range(n):
            lefts[axis] = min(ax[axis], lefts[axis])
            rights[axis] = max(ax[axis], rights[axis])
    return tuple(zip(lefts, rights))

max_distance() -> int

Returns the maximum absolute accessed distance across all axes.

Source code in xdsl/dialects/stencil.py

def max_distance(self) -> int:
    """
    Returns the maximum absolute accessed distance across all axes.
    """
    res = 0
    for ax in self.offsets:
        res = max(res, max(abs(a) for a in ax))
    return res

visual_pattern() -> str

Returns a visual equivalent of the access pattern, only works for 1d and 2d.

Returns patterns where O signifies the center point and X represents an access. E.g.:

X XOX X

For a 2d-4pt stencil.

Source code in xdsl/dialects/stencil.py

def visual_pattern(self) -> str:
    """
    Returns a visual equivalent of the access pattern, only works for 1d and 2d.

    Returns patterns where O signifies the center point and X represents an access.
    E.g.:

     X
    XOX
     X

    For a 2d-4pt stencil.
    """
    # handle special cases:
    if self.dims == 0:
        return "O"
    elif self.dims > 2:
        return "Too many dimensions in access"
    elif self.dims == 1:
        halos = (self.halo_in_axis(0), (0, 0))
    else:
        halos = self.halos()
    x_axis_halo, y_axis_halo = halos
    # construct a matrix of the required size:
    points = [
        [" " for _ in range(y_axis_halo[1] - y_axis_halo[0] + 1)]
        for __ in range(x_axis_halo[1] - x_axis_halo[0] + 1)
    ]
    # set the center point:
    points[-x_axis_halo[0]][-y_axis_halo[0]] = "O"
    # set each access:
    for access in self.offsets:
        points[access[0] - x_axis_halo[0]][access[1] - y_axis_halo[0]] = "X"
    # construct the string:
    return "\n".join("".join(row) for row in points)