blob: 7025f6e0f1a1667bdd1f93179c61fa1f77b459c2 [file] [log] [blame]
# Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
from ._scf_ops_gen import *
from ._scf_ops_gen import _Dialect
from .arith import constant
try:
from ..ir import *
from ._ods_common import (
get_op_result_or_value as _get_op_result_or_value,
get_op_results_or_values as _get_op_results_or_values,
_cext as _ods_cext,
)
except ImportError as e:
raise RuntimeError("Error loading imports from extension module") from e
from typing import Optional, Sequence, Union
@_ods_cext.register_operation(_Dialect, replace=True)
class ForOp(ForOp):
"""Specialization for the SCF for op class."""
def __init__(
self,
lower_bound,
upper_bound,
step,
iter_args: Optional[Union[Operation, OpView, Sequence[Value]]] = None,
*,
loc=None,
ip=None,
):
"""Creates an SCF `for` operation.
- `lower_bound` is the value to use as lower bound of the loop.
- `upper_bound` is the value to use as upper bound of the loop.
- `step` is the value to use as loop step.
- `iter_args` is a list of additional loop-carried arguments or an operation
producing them as results.
"""
if iter_args is None:
iter_args = []
iter_args = _get_op_results_or_values(iter_args)
results = [arg.type for arg in iter_args]
super().__init__(
results, lower_bound, upper_bound, step, iter_args, loc=loc, ip=ip
)
self.regions[0].blocks.append(self.operands[0].type, *results)
@property
def body(self):
"""Returns the body (block) of the loop."""
return self.regions[0].blocks[0]
@property
def induction_variable(self):
"""Returns the induction variable of the loop."""
return self.body.arguments[0]
@property
def inner_iter_args(self):
"""Returns the loop-carried arguments usable within the loop.
To obtain the loop-carried operands, use `iter_args`.
"""
return self.body.arguments[1:]
@_ods_cext.register_operation(_Dialect, replace=True)
class IfOp(IfOp):
"""Specialization for the SCF if op class."""
def __init__(self, cond, results_=None, *, hasElse=False, loc=None, ip=None):
"""Creates an SCF `if` operation.
- `cond` is a MLIR value of 'i1' type to determine which regions of code will be executed.
- `hasElse` determines whether the if operation has the else branch.
"""
if results_ is None:
results_ = []
operands = []
operands.append(cond)
results = []
results.extend(results_)
super().__init__(results, cond)
self.regions[0].blocks.append(*[])
if hasElse:
self.regions[1].blocks.append(*[])
@property
def then_block(self):
"""Returns the then block of the if operation."""
return self.regions[0].blocks[0]
@property
def else_block(self):
"""Returns the else block of the if operation."""
return self.regions[1].blocks[0]
def for_(
start,
stop=None,
step=None,
iter_args: Optional[Sequence[Value]] = None,
*,
loc=None,
ip=None,
):
if step is None:
step = 1
if stop is None:
stop = start
start = 0
params = [start, stop, step]
for i, p in enumerate(params):
if isinstance(p, int):
p = constant(IndexType.get(), p)
elif isinstance(p, float):
raise ValueError(f"{p=} must be int.")
params[i] = p
start, stop, step = params
for_op = ForOp(start, stop, step, iter_args, loc=loc, ip=ip)
iv = for_op.induction_variable
iter_args = tuple(for_op.inner_iter_args)
with InsertionPoint(for_op.body):
if len(iter_args) > 1:
yield iv, iter_args, for_op.results
elif len(iter_args) == 1:
yield iv, iter_args[0], for_op.results[0]
else:
yield iv