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lowerings

LowerLengthOp

Bases: RewritePattern

Source code in xdsl/frontend/listlang/lowerings.py 
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class LowerLengthOp(RewritePattern):
    @op_type_rewrite_pattern
    def match_and_rewrite(self, op: list_dialect.LengthOp, rewriter: PatternRewriter):
        zero_index = rewriter.insert_op(
            arith.ConstantOp(builtin.IntegerAttr(0, builtin.IndexType()))
        )
        dim = rewriter.insert_op(tensor.DimOp(op.li, zero_index))
        cast = arith.IndexCastOp(dim, builtin.i32)
        cast.result.name_hint = op.result.name_hint
        rewriter.replace_op(op, cast)

match_and_rewrite(op: list_dialect.LengthOp, rewriter: PatternRewriter)

Source code in xdsl/frontend/listlang/lowerings.py 
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@op_type_rewrite_pattern
def match_and_rewrite(self, op: list_dialect.LengthOp, rewriter: PatternRewriter):
    zero_index = rewriter.insert_op(
        arith.ConstantOp(builtin.IntegerAttr(0, builtin.IndexType()))
    )
    dim = rewriter.insert_op(tensor.DimOp(op.li, zero_index))
    cast = arith.IndexCastOp(dim, builtin.i32)
    cast.result.name_hint = op.result.name_hint
    rewriter.replace_op(op, cast)

LowerMapOp

Bases: RewritePattern

Source code in xdsl/frontend/listlang/lowerings.py 
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class LowerMapOp(RewritePattern):
    @op_type_rewrite_pattern
    def match_and_rewrite(self, op: list_dialect.MapOp, rewriter: PatternRewriter):
        zero = rewriter.insert_op(
            arith.ConstantOp(builtin.IntegerAttr(0, builtin.IndexType()))
        )
        one = rewriter.insert_op(
            arith.ConstantOp(builtin.IntegerAttr(1, builtin.IndexType()))
        )
        list_len = rewriter.insert_op(tensor.DimOp(op.li, zero))

        tensor_type = _list_type_to_tensor(op.li.type)
        result_tensor_type = _list_type_to_tensor(op.result.type)

        result_uninit = rewriter.insert_op(
            tensor.EmptyOp([list_len.result], result_tensor_type)
        )
        result_uninit.results[0].name_hint = _name_hint_ext(
            op.result.name_hint, "uninit"
        )

        rewriter_ip = rewriter.insertion_point

        for_body = Block(
            [],
            arg_types=(builtin.IndexType(), result_tensor_type),
        )
        ind_var = for_body.args[0]
        ind_var.name_hint = "_i"
        tensor_arg = for_body.args[1]

        rewriter.insertion_point = InsertPoint.at_start(for_body)

        x = rewriter.insert_op(
            tensor.ExtractOp(op.li, [ind_var], tensor_type.element_type)
        )
        x.result.name_hint = op.body.block.args[0].name_hint

        rewriter.inline_block(op.body.block, InsertPoint.at_end(for_body), (x.result,))

        closure_yield = for_body.last_op
        assert isa(closure_yield, list_dialect.YieldOp)
        result_scalar = closure_yield.yielded
        rewriter.erase_op(closure_yield)

        result = rewriter.insert_op(
            tensor.InsertOp(result_scalar, tensor_arg, [ind_var])
        )

        rewriter.insert_op(scf.YieldOp(result.result))

        rewriter.insertion_point = rewriter_ip

        for_op = scf.ForOp(
            zero,
            list_len,
            one,
            result_uninit.results,
            for_body,
        )
        for_op.results[0].name_hint = op.result.name_hint
        rewriter.replace_op(op, for_op)

match_and_rewrite(op: list_dialect.MapOp, rewriter: PatternRewriter)

Source code in xdsl/frontend/listlang/lowerings.py 
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@op_type_rewrite_pattern
def match_and_rewrite(self, op: list_dialect.MapOp, rewriter: PatternRewriter):
    zero = rewriter.insert_op(
        arith.ConstantOp(builtin.IntegerAttr(0, builtin.IndexType()))
    )
    one = rewriter.insert_op(
        arith.ConstantOp(builtin.IntegerAttr(1, builtin.IndexType()))
    )
    list_len = rewriter.insert_op(tensor.DimOp(op.li, zero))

    tensor_type = _list_type_to_tensor(op.li.type)
    result_tensor_type = _list_type_to_tensor(op.result.type)

    result_uninit = rewriter.insert_op(
        tensor.EmptyOp([list_len.result], result_tensor_type)
    )
    result_uninit.results[0].name_hint = _name_hint_ext(
        op.result.name_hint, "uninit"
    )

    rewriter_ip = rewriter.insertion_point

    for_body = Block(
        [],
        arg_types=(builtin.IndexType(), result_tensor_type),
    )
    ind_var = for_body.args[0]
    ind_var.name_hint = "_i"
    tensor_arg = for_body.args[1]

    rewriter.insertion_point = InsertPoint.at_start(for_body)

    x = rewriter.insert_op(
        tensor.ExtractOp(op.li, [ind_var], tensor_type.element_type)
    )
    x.result.name_hint = op.body.block.args[0].name_hint

    rewriter.inline_block(op.body.block, InsertPoint.at_end(for_body), (x.result,))

    closure_yield = for_body.last_op
    assert isa(closure_yield, list_dialect.YieldOp)
    result_scalar = closure_yield.yielded
    rewriter.erase_op(closure_yield)

    result = rewriter.insert_op(
        tensor.InsertOp(result_scalar, tensor_arg, [ind_var])
    )

    rewriter.insert_op(scf.YieldOp(result.result))

    rewriter.insertion_point = rewriter_ip

    for_op = scf.ForOp(
        zero,
        list_len,
        one,
        result_uninit.results,
        for_body,
    )
    for_op.results[0].name_hint = op.result.name_hint
    rewriter.replace_op(op, for_op)

LowerPrintOp

Bases: RewritePattern

Source code in xdsl/frontend/listlang/lowerings.py 
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class LowerPrintOp(RewritePattern):
    @op_type_rewrite_pattern
    def match_and_rewrite(self, op: list_dialect.PrintOp, rewriter: PatternRewriter):
        zero = rewriter.insert_op(
            arith.ConstantOp(builtin.IntegerAttr(0, builtin.IndexType()))
        )
        one = rewriter.insert_op(
            arith.ConstantOp(builtin.IntegerAttr(1, builtin.IndexType()))
        )
        list_len = rewriter.insert_op(tensor.DimOp(op.li, zero))

        tensor_type = _list_type_to_tensor(op.li.type)

        rewriter_ip = rewriter.insertion_point

        for_body = Block([], arg_types=[builtin.IndexType()])
        ind_var = for_body.args[0]
        ind_var.name_hint = "_i"

        rewriter.insertion_point = InsertPoint.at_start(for_body)

        scalar = rewriter.insert_op(
            tensor.ExtractOp(op.li, [ind_var], tensor_type.element_type)
        )
        ListLangType.from_xdsl(scalar.result.type).print(rewriter, scalar.result)
        rewriter.insert_op(printf.PrintFormatOp(","))
        rewriter.insert_op(scf.YieldOp())

        rewriter.insertion_point = rewriter_ip

        rewriter.replace_op(
            op,
            (
                printf.PrintFormatOp("["),
                scf.ForOp(
                    zero,
                    list_len,
                    one,
                    [],
                    for_body,
                ),
                printf.PrintFormatOp("]"),
            ),
        )

match_and_rewrite(op: list_dialect.PrintOp, rewriter: PatternRewriter)

Source code in xdsl/frontend/listlang/lowerings.py 
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@op_type_rewrite_pattern
def match_and_rewrite(self, op: list_dialect.PrintOp, rewriter: PatternRewriter):
    zero = rewriter.insert_op(
        arith.ConstantOp(builtin.IntegerAttr(0, builtin.IndexType()))
    )
    one = rewriter.insert_op(
        arith.ConstantOp(builtin.IntegerAttr(1, builtin.IndexType()))
    )
    list_len = rewriter.insert_op(tensor.DimOp(op.li, zero))

    tensor_type = _list_type_to_tensor(op.li.type)

    rewriter_ip = rewriter.insertion_point

    for_body = Block([], arg_types=[builtin.IndexType()])
    ind_var = for_body.args[0]
    ind_var.name_hint = "_i"

    rewriter.insertion_point = InsertPoint.at_start(for_body)

    scalar = rewriter.insert_op(
        tensor.ExtractOp(op.li, [ind_var], tensor_type.element_type)
    )
    ListLangType.from_xdsl(scalar.result.type).print(rewriter, scalar.result)
    rewriter.insert_op(printf.PrintFormatOp(","))
    rewriter.insert_op(scf.YieldOp())

    rewriter.insertion_point = rewriter_ip

    rewriter.replace_op(
        op,
        (
            printf.PrintFormatOp("["),
            scf.ForOp(
                zero,
                list_len,
                one,
                [],
                for_body,
            ),
            printf.PrintFormatOp("]"),
        ),
    )

LowerRangeOp

Bases: RewritePattern

Source code in xdsl/frontend/listlang/lowerings.py 
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class LowerRangeOp(RewritePattern):
    @op_type_rewrite_pattern
    def match_and_rewrite(self, op: list_dialect.RangeOp, rewriter: PatternRewriter):
        zero = rewriter.insert_op(
            arith.ConstantOp(builtin.IntegerAttr(0, builtin.IndexType()))
        )
        one = rewriter.insert_op(
            arith.ConstantOp(builtin.IntegerAttr(1, builtin.IndexType()))
        )

        tensor_length = rewriter.insert_op(arith.SubiOp(op.upper, op.lower))
        tensor_length_index = rewriter.insert_op(
            arith.IndexCastOp(tensor_length.result, builtin.IndexType())
        )
        tensor_length_index.result.name_hint = _name_hint_ext(
            op.result.name_hint, "length"
        )

        tensor_type = _list_type_to_tensor(op.result.type)
        start_tensor = rewriter.insert_op(
            tensor.EmptyOp((tensor_length_index.result,), tensor_type)
        )
        start_tensor.tensor.name_hint = _name_hint_ext(op.result.name_hint, "uninit")

        rewriter_ip = rewriter.insertion_point

        for_body = Block(
            [],
            arg_types=(builtin.IndexType(), tensor_type),
        )
        ind_var = for_body.args[0]
        ind_var.name_hint = "_i"
        tensor_arg = for_body.args[1]

        rewriter.insertion_point = InsertPoint.at_start(for_body)

        ind_var_32 = rewriter.insert_op(arith.IndexCastOp(ind_var, builtin.i32))
        offseted = rewriter.insert_op(arith.AddiOp(op.lower, ind_var_32))
        modified = rewriter.insert_op(
            tensor.InsertOp(offseted.result, tensor_arg, [ind_var])
        )
        modified.result.name_hint = _name_hint_ext(op.result.name_hint, "modified")
        rewriter.insert_op(scf.YieldOp(modified))

        rewriter.insertion_point = rewriter_ip

        for_op = scf.ForOp(
            zero,
            tensor_length_index,
            one,
            [start_tensor],
            for_body,
        )
        for_op.results[0].name_hint = op.result.name_hint
        rewriter.replace_op(op, for_op)

match_and_rewrite(op: list_dialect.RangeOp, rewriter: PatternRewriter)

Source code in xdsl/frontend/listlang/lowerings.py 
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@op_type_rewrite_pattern
def match_and_rewrite(self, op: list_dialect.RangeOp, rewriter: PatternRewriter):
    zero = rewriter.insert_op(
        arith.ConstantOp(builtin.IntegerAttr(0, builtin.IndexType()))
    )
    one = rewriter.insert_op(
        arith.ConstantOp(builtin.IntegerAttr(1, builtin.IndexType()))
    )

    tensor_length = rewriter.insert_op(arith.SubiOp(op.upper, op.lower))
    tensor_length_index = rewriter.insert_op(
        arith.IndexCastOp(tensor_length.result, builtin.IndexType())
    )
    tensor_length_index.result.name_hint = _name_hint_ext(
        op.result.name_hint, "length"
    )

    tensor_type = _list_type_to_tensor(op.result.type)
    start_tensor = rewriter.insert_op(
        tensor.EmptyOp((tensor_length_index.result,), tensor_type)
    )
    start_tensor.tensor.name_hint = _name_hint_ext(op.result.name_hint, "uninit")

    rewriter_ip = rewriter.insertion_point

    for_body = Block(
        [],
        arg_types=(builtin.IndexType(), tensor_type),
    )
    ind_var = for_body.args[0]
    ind_var.name_hint = "_i"
    tensor_arg = for_body.args[1]

    rewriter.insertion_point = InsertPoint.at_start(for_body)

    ind_var_32 = rewriter.insert_op(arith.IndexCastOp(ind_var, builtin.i32))
    offseted = rewriter.insert_op(arith.AddiOp(op.lower, ind_var_32))
    modified = rewriter.insert_op(
        tensor.InsertOp(offseted.result, tensor_arg, [ind_var])
    )
    modified.result.name_hint = _name_hint_ext(op.result.name_hint, "modified")
    rewriter.insert_op(scf.YieldOp(modified))

    rewriter.insertion_point = rewriter_ip

    for_op = scf.ForOp(
        zero,
        tensor_length_index,
        one,
        [start_tensor],
        for_body,
    )
    for_op.results[0].name_hint = op.result.name_hint
    rewriter.replace_op(op, for_op)

LowerListToTensor dataclass

Bases: ModulePass

Lowers list dialect to a tensor-based representation.

Source code in xdsl/frontend/listlang/lowerings.py 
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class LowerListToTensor(ModulePass):
    """
    Lowers list dialect to a tensor-based representation.
    """

    name = "lower-list-to-tensor"

    def apply(self, ctx: Context, op: builtin.ModuleOp) -> None:
        PatternRewriteWalker(
            GreedyRewritePatternApplier(
                [
                    LowerLengthOp(),
                    LowerMapOp(),
                    LowerPrintOp(),
                    LowerRangeOp(),
                ]
            ),
        ).rewrite_module(op)

name = 'lower-list-to-tensor' class-attribute instance-attribute

apply(ctx: Context, op: builtin.ModuleOp) -> None

Source code in xdsl/frontend/listlang/lowerings.py 
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def apply(self, ctx: Context, op: builtin.ModuleOp) -> None:
    PatternRewriteWalker(
        GreedyRewritePatternApplier(
            [
                LowerLengthOp(),
                LowerMapOp(),
                LowerPrintOp(),
                LowerRangeOp(),
            ]
        ),
    ).rewrite_module(op)

WrapModuleInFunc dataclass

Bases: ModulePass

Wraps the free-standing ops in a module into a func.func function.

Source code in xdsl/frontend/listlang/lowerings.py 
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class WrapModuleInFunc(ModulePass):
    """
    Wraps the free-standing ops in a module into a func.func function.
    """

    name = "wrap-module-in-func"

    def apply(self, ctx: Context, op: builtin.ModuleOp) -> None:
        old_module_region = op.detach_region(0)
        new_module_region = Region(
            [Block([func.FuncOp("main", ((), ()), old_module_region)])]
        )
        old_module_region.block.add_op(func.ReturnOp())
        op.add_region(new_module_region)

name = 'wrap-module-in-func' class-attribute instance-attribute

apply(ctx: Context, op: builtin.ModuleOp) -> None

Source code in xdsl/frontend/listlang/lowerings.py 
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def apply(self, ctx: Context, op: builtin.ModuleOp) -> None:
    old_module_region = op.detach_region(0)
    new_module_region = Region(
        [Block([func.FuncOp("main", ((), ()), old_module_region)])]
    )
    old_module_region.block.add_op(func.ReturnOp())
    op.add_region(new_module_region)