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unbreak lintrunner in backends/arm #12075

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Merged
merged 1 commit into from
Jun 28, 2025
Merged

unbreak lintrunner in backends/arm #12075

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4 changes: 3 additions & 1 deletion backends/arm/_passes/decompose_sqrt_pass.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,8 @@
# LICENSE file in the root directory of this source tree.

# pyre-unsafe
from typing import Tuple, Union

import torch
from executorch.exir.dialects._ops import ops as exir_ops
from executorch.exir.pass_base import ExportPass
Expand All @@ -15,7 +17,7 @@
)


def get_sqrt_decomposition(op) -> tuple:
def get_sqrt_decomposition(op) -> Union[Tuple, torch._ops.OpOverload]:
# TODO : "MLETORCH-863 : Replace current sqrt -> pow.Tensor_Scalar workaround with pow.Tensor_Tensor"
if op in edge_sqrt_ops:
return exir_ops.edge.aten.pow.Tensor_Scalar
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7 changes: 5 additions & 2 deletions backends/arm/_passes/replace_scalar_with_tensor_pass.py
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Expand Up @@ -6,7 +6,7 @@
# pyre-unsafe


from typing import Dict
from typing import Dict, Union

import torch
from executorch.backends.transforms.replace_scalar_with_tensor import (
Expand All @@ -18,7 +18,10 @@


# Operators that are included for both TOSA profiles
_common_ops: Dict[EdgeOpOverload, EdgeOpOverload] = {
_common_ops: Dict[
Union[EdgeOpOverload, torch._ops.OpOverload],
Union[EdgeOpOverload, torch._ops.OpOverload],
] = {
exir_ops.edge.aten.add.Scalar: exir_ops.edge.aten.add.Tensor,
exir_ops.edge.aten.sub.Scalar: exir_ops.edge.aten.sub.Tensor,
exir_ops.edge.aten.mul.Scalar: exir_ops.edge.aten.mul.Tensor,
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9 changes: 7 additions & 2 deletions backends/transforms/replace_scalar_with_tensor.py
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Expand Up @@ -5,7 +5,7 @@
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.

from typing import Dict, Optional
from typing import Dict, Optional, Union

import torch
from executorch.exir.dialects._ops import ops as exir_ops
Expand All @@ -32,7 +32,12 @@ class ReplaceScalarWithTensorArgPass(ExportPass):

def __init__(
self,
scalar_to_tensor_ops: Optional[Dict[EdgeOpOverload, EdgeOpOverload]] = None,
scalar_to_tensor_ops: Optional[
Dict[
Union[EdgeOpOverload, torch._ops.OpOverload],
Union[EdgeOpOverload, torch._ops.OpOverload],
]
] = None,
):
if scalar_to_tensor_ops is not None:
self.scalar_to_tensor_ops = scalar_to_tensor_ops
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