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549 | @register_impls
class PDLInterpFunctions(InterpreterFunctions):
"""
Interpreter functions for the pdl_interp dialect.
All operations that get a value from the IR will return None if the requested value
cannot be determined.
Native constraints are implemented via `impl_external`. Clients that want to provide
extra constraint declarations must do so with a similar extra `InterpreterFunctions`
subclass registered with the interpreter:
```py
@register_impls
class TestImplFunctions(InterpreterFunctions):
@impl_external("test_constraint")
def run_test_constraint(
self, interp: Interpreter, op: Operation, args: PythonValues
) -> tuple[bool, PythonValues]:
assert isinstance(args[0], int)
(x,) = args
return True, (x + 42,)
```
Note that the return type of a native constraint must be `tuple[bool, PythonValues]`.
"""
@staticmethod
def get_ctx(interpreter: Interpreter) -> Context:
return interpreter.get_data(
PDLInterpFunctions,
"ctx",
lambda: Context(),
)
@staticmethod
def set_ctx(interpreter: Interpreter, ctx: Context) -> None:
interpreter.set_data(
PDLInterpFunctions,
"ctx",
ctx,
)
@staticmethod
def get_pending_rewrites(
interpreter: Interpreter,
) -> list[tuple[SymbolRefAttr, Operation, tuple[Any, ...]]]:
"""
Returns the list of pending rewrites to be executed. Each entry is a tuple of (rewriter, root, args).
"""
return interpreter.get_data(
PDLInterpFunctions,
"pending_rewrites",
lambda: [],
)
@staticmethod
def get_rewriter(interpreter: Interpreter) -> PatternRewriter:
rewriter: PatternRewriter | None = interpreter.get_data(
PDLInterpFunctions, "rewriter", lambda: None
)
if rewriter is None:
raise InterpretationError(
"Expected an active rewriter when calling a pdl_interp function."
)
return rewriter
@staticmethod
def set_rewriter(
interpreter: Interpreter, rewriter: PatternRewriter | None
) -> None:
interpreter.set_data(PDLInterpFunctions, "rewriter", rewriter)
@impl(pdl_interp.GetOperandOp)
def run_get_operand(
self,
interpreter: Interpreter,
op: pdl_interp.GetOperandOp,
args: tuple[Any, ...],
) -> tuple[Any, ...]:
assert len(args) == 1
assert isinstance(args[0], Operation)
if op.index.value.data >= len(args[0].operands):
return (None,)
else:
return (args[0].operands[op.index.value.data],)
@impl(pdl_interp.GetResultOp)
def run_get_result(
self,
interpreter: Interpreter,
op: pdl_interp.GetResultOp,
args: tuple[Any, ...],
) -> tuple[Any, ...]:
assert len(args) == 1
assert isinstance(args[0], Operation)
if len(args[0].results) <= op.index.value.data:
return (None,)
return (args[0].results[op.index.value.data],)
@impl(pdl_interp.GetResultsOp)
def run_get_results(
self,
interpreter: Interpreter,
op: pdl_interp.GetResultsOp,
args: tuple[Any, ...],
) -> tuple[Any, ...]:
assert len(args) == 1
assert isinstance(args[0], Operation)
src_op = args[0]
assert isinstance(src_op, IRDLOperation)
if op.index is not None:
# get the field name of the result group:
if op.index.value.data >= len(src_op.get_irdl_definition().results):
return (None,)
field = src_op.get_irdl_definition().results[op.index.value.data][0]
results = getattr(src_op, field)
if isa(results, OpResult):
results = (results,)
else:
results = src_op.results
if isinstance(op.result_types[0], ValueType):
if len(results) != 1:
return (None,)
return (results[0],)
return (results,)
@impl(pdl_interp.GetAttributeOp)
def run_get_attribute(
self,
interpreter: Interpreter,
op: pdl_interp.GetAttributeOp,
args: tuple[Any, ...],
) -> tuple[Any, ...]:
assert len(args) == 1
assert isinstance(args[0], Operation)
attrname = op.constraint_name.data
if attrname in args[0].attributes:
return (args[0].attributes[attrname],)
elif attrname in args[0].properties:
return (args[0].properties[attrname],)
else:
return (None,)
@impl(pdl_interp.GetValueTypeOp)
def run_get_value_type(
self,
interpreter: Interpreter,
op: pdl_interp.GetValueTypeOp,
args: tuple[Any, ...],
) -> tuple[Any, ...]:
assert len(args) == 1
assert isinstance(args[0], SSAValue)
value = cast(SSAValue, args[0])
return (value.type,)
@impl(pdl_interp.GetDefiningOpOp)
def run_get_defining_op(
self,
interpreter: Interpreter,
op: pdl_interp.GetDefiningOpOp,
args: tuple[Any, ...],
) -> tuple[Any, ...]:
assert len(args) == 1
if args[0] is None:
return (None,)
assert isinstance(args[0], SSAValue)
if not isinstance(args[0], OpResult):
return (None,)
return (args[0].owner,)
@impl_terminator(pdl_interp.CheckOperationNameOp)
def run_check_operation_name(
self,
interpreter: Interpreter,
op: pdl_interp.CheckOperationNameOp,
args: tuple[Any, ...],
) -> tuple[Any, ...]:
assert len(args) == 1
assert isinstance(args[0], Operation)
cond = args[0].name == op.operation_name.data
successor = op.true_dest if cond else op.false_dest
return Successor(successor, ()), ()
@impl_terminator(pdl_interp.CheckOperandCountOp)
def run_check_operand_count(
self,
interpreter: Interpreter,
op: pdl_interp.CheckOperandCountOp,
args: tuple[Any, ...],
) -> tuple[Any, ...]:
assert len(args) == 1
assert isinstance(args[0], Operation)
operand_count = len(args[0].operands)
expected_count = op.count.value.data
# If compareAtLeast is set, check if operand count is >= expected
# Otherwise check for exact match
if "compareAtLeast" in op.properties:
cond = operand_count >= expected_count
else:
cond = operand_count == expected_count
successor = op.true_dest if cond else op.false_dest
return Successor(successor, ()), ()
@impl_terminator(pdl_interp.CheckResultCountOp)
def run_check_result_count(
self,
interpreter: Interpreter,
op: pdl_interp.CheckResultCountOp,
args: tuple[Any, ...],
) -> tuple[Any, ...]:
assert len(args) == 1
assert isinstance(args[0], Operation)
result_count = len(args[0].results)
expected_count = op.count.value.data
# If compareAtLeast is set, check if result count is >= expected
# Otherwise check for exact match
if "compareAtLeast" in op.properties:
cond = result_count >= expected_count
else:
cond = result_count == expected_count
successor = op.true_dest if cond else op.false_dest
return Successor(successor, ()), ()
@impl_terminator(pdl_interp.SwitchOperationNameOp)
def run_switch_operation_name(
self,
interpreter: Interpreter,
op: pdl_interp.SwitchOperationNameOp,
args: tuple[Any, ...],
) -> tuple[Any, ...]:
input_op: Operation = args[0]
op_name = input_op.name
for name, block in zip(op.case_values, op.cases):
if name.data == op_name:
return Successor(block, ()), ()
return Successor(op.default_dest, ()), ()
@impl_terminator(pdl_interp.CheckAttributeOp)
def run_check_attribute(
self,
interpreter: Interpreter,
op: pdl_interp.CheckAttributeOp,
args: tuple[Any, ...],
) -> tuple[Any, ...]:
assert len(args) == 1
# args[0] should be the attribute value to check
attribute = args[0]
# Compare with the constant value from properties
cond = attribute == op.constantValue
successor = op.true_dest if cond else op.false_dest
return Successor(successor, ()), ()
@impl_terminator(pdl_interp.CheckTypeOp)
def run_check_type(
self,
interpreter: Interpreter,
op: pdl_interp.CheckTypeOp,
args: tuple[Any, ...],
) -> tuple[Any, ...]:
assert len(args) == 1
value = args[0]
cond = value == op.type
successor = op.true_dest if cond else op.false_dest
return Successor(successor, ()), ()
@impl_terminator(pdl_interp.IsNotNullOp)
def run_is_not_null(
self,
interpreter: Interpreter,
op: pdl_interp.IsNotNullOp,
args: tuple[Any, ...],
) -> tuple[Any, ...]:
assert len(args) == 1
# Check if the value is not None
cond = args[0] is not None
successor = op.true_dest if cond else op.false_dest
return Successor(successor, ()), ()
@impl_terminator(pdl_interp.AreEqualOp)
def run_are_equal(
self,
interpreter: Interpreter,
op: pdl_interp.AreEqualOp,
args: tuple[Any, ...],
) -> tuple[Any, ...]:
assert len(args) == 2
# Compare the two values for equality
cond = args[0] == args[1]
successor = op.true_dest if cond else op.false_dest
return Successor(successor, ()), ()
@impl(pdl_interp.ReplaceOp)
def run_replace(
self,
interpreter: Interpreter,
op: pdl_interp.ReplaceOp,
args: tuple[Any, ...],
) -> tuple[Any, ...]:
assert args
input_op = args[0]
assert isinstance(input_op, Operation)
# Get replacement values (if any)
repl_values: list[SSAValue] = []
for i in range(0, len(args) - 1):
if isa(op.repl_values.types[i], ValueType):
repl_values.append(args[i + 1])
elif isa(op.repl_values.types[i], RangeType[ValueType]):
repl_values.extend(args[i + 1])
if len(input_op.results) != len(repl_values):
raise InterpretationError(
"Number of replacement values should match number of results"
)
# Replace the operation with the replacement values
self.get_rewriter(interpreter).replace_op(
input_op, new_ops=[], new_results=repl_values
)
return ()
@impl(pdl_interp.CreateAttributeOp)
def run_create_attribute(
self,
interpreter: Interpreter,
op: pdl_interp.CreateAttributeOp,
args: tuple[Any, ...],
) -> tuple[Any, ...]:
# Simply return the attribute value
return (op.value,)
@impl(pdl_interp.CreateTypeOp)
def run_create_type(
self,
interpreter: Interpreter,
op: pdl_interp.CreateTypeOp,
args: tuple[Any, ...],
) -> tuple[Any, ...]:
# Simply return the type value
return (op.value,)
@impl(pdl_interp.CreateTypesOp)
def run_create_types(
self,
interpreter: Interpreter,
op: pdl_interp.CreateTypesOp,
args: tuple[Any, ...],
) -> tuple[Any, ...]:
# Return the list of types from the array attribute
types = list(op.value.data)
return (types,)
@impl_terminator(pdl_interp.SwitchAttributeOp)
def run_switch_attribute(
self,
interpreter: Interpreter,
op: pdl_interp.SwitchAttributeOp,
args: tuple[Any, ...],
) -> tuple[Any, ...]:
assert len(args) == 1
input_attr = args[0]
for case_value, block in zip(op.caseValues.data, op.cases):
if input_attr == case_value:
return Successor(block, ()), ()
return Successor(op.defaultDest, ()), ()
@staticmethod
def create_operation(
interpreter: Interpreter,
args: tuple[Any, ...],
op_name: str,
attr_names: list[str],
num_operands: int,
num_attributes: int,
) -> IRDLOperation:
# Get operation name
ctx = PDLInterpFunctions.get_ctx(interpreter)
op_type = ctx.get_optional_op(op_name)
if op_type is None:
raise InterpretationError(
f"Could not find op type for name {op_name} in context"
)
# Split args into operands, attributes and result types based on operand segments
operands = list(args[:num_operands])
assert issubclass(op_type, IRDLOperation)
existing_properties = op_type.get_irdl_definition().properties.keys()
attributes: dict[str, Attribute] = {}
properties: dict[str, Attribute] = {}
for name, prop_or_attr in zip(
attr_names,
args[num_operands : num_operands + num_attributes],
):
if name in existing_properties:
properties[name] = prop_or_attr
else:
attributes[name] = prop_or_attr
result_types = list(args[num_operands + num_attributes :])
# Create the new operation
result_op = op_type.create(
operands=operands,
result_types=result_types,
attributes=attributes,
properties=properties,
)
return result_op
@impl(pdl_interp.CreateOperationOp)
def run_create_operation(
self,
interpreter: Interpreter,
op: pdl_interp.CreateOperationOp,
args: tuple[Any, ...],
) -> tuple[Any, ...]:
result_op = PDLInterpFunctions.create_operation(
interpreter,
args,
op.constraint_name.data,
[name.data for name in op.input_attribute_names.data],
len(op.input_operands),
len(op.input_attributes),
)
rewriter = self.get_rewriter(interpreter)
rewriter.insert_op(result_op)
return (result_op,)
@impl_callable(pdl_interp.FuncOp)
def call_func(
self, interpreter: Interpreter, op: pdl_interp.FuncOp, args: tuple[Any, ...]
):
if op.sym_name.data == "matcher":
assert len(args) == 1
root_op = args[0]
assert isinstance(root_op, Operation)
rewriter = self.get_rewriter(interpreter)
rewriter.current_operation = root_op
rewriter.insertion_point = InsertPoint.before(root_op)
return interpreter.run_ssacfg_region(op.body, args, op.sym_name.data)
@impl_terminator(pdl_interp.ApplyConstraintOp)
def run_apply_constraint(
self,
interpreter: Interpreter,
op: pdl_interp.ApplyConstraintOp,
args: tuple[Any, ...],
) -> tuple[Successor, PythonValues]:
constraint_name = op.constraint_name.data
passed, results = interpreter.call_external(constraint_name, op, args)
assert isinstance(passed, bool)
assert isinstance(results, tuple)
any_results = cast(tuple[Any], results)
terminator = op.true_dest if passed != bool(op.is_negated) else op.false_dest
return Successor(terminator, ()), any_results
@impl_terminator(pdl_interp.RecordMatchOp)
def run_recordmatch(
self,
interpreter: Interpreter,
op: pdl_interp.RecordMatchOp,
args: tuple[Any, ...],
):
PDLInterpFunctions.get_pending_rewrites(interpreter).append(
(
op.rewriter,
PDLInterpFunctions.get_rewriter(interpreter).current_operation,
args,
)
)
return Successor(op.dest, ()), ()
@impl_terminator(pdl_interp.FinalizeOp)
def run_finalize(
self, interpreter: Interpreter, op: pdl_interp.FinalizeOp, args: tuple[Any, ...]
):
return ReturnedValues(()), ()
@impl_terminator(pdl_interp.ForEachOp)
def run_foreach(
self,
interpreter: Interpreter,
op: pdl_interp.ForEachOp,
args: tuple[Any, ...],
) -> tuple[Any, ...]:
assert len(args) == 1
values = args[0]
# Iterate over each value in the range
for value in values:
interpreter.run_ssacfg_region(op.region, (value,), "foreach")
return Successor(op.successor, ()), ()
@impl_terminator(pdl_interp.ContinueOp)
def run_continue(
self, interpreter: Interpreter, op: pdl_interp.ContinueOp, args: tuple[Any, ...]
):
return ReturnedValues(args), ()
def apply_pending_rewrites(self, interpreter: Interpreter):
rewriter = PDLInterpFunctions.get_rewriter(interpreter)
pending_rewrites = PDLInterpFunctions.get_pending_rewrites(interpreter)
for rewriter_op, root, args in pending_rewrites:
rewriter.current_operation = root
rewriter.insertion_point = InsertPoint.before(root)
interpreter.call_op(rewriter_op, args)
pending_rewrites.clear()
|