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Remove useless super() delegation (#167791)

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This PR removes useless super() delegations detected by pylint.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/167791
Approved by: https://github.com/albanD
This commit is contained in:
Yuanyuan Chen
2025-11-15 02:50:48 +00:00
committed by PyTorch MergeBot
parent bc60b86066
commit de0d69b2c4
2 changed files with 0 additions and 33 deletions
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30
torch/nn/modules/loss.py
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@@ -123,9 +123,6 @@ class L1Loss(_Loss):
__constants__ = ["reduction"]
def __init__(self, size_average=None, reduce=None, reduction: str = "mean") -> None:
super().__init__(size_average, reduce, reduction)
def forward(self, input: Tensor, target: Tensor) -> Tensor:
"""
Runs the forward pass.
@@ -623,9 +620,6 @@ class MSELoss(_Loss):
__constants__ = ["reduction"]
def __init__(self, size_average=None, reduce=None, reduction: str = "mean") -> None:
super().__init__(size_average, reduce, reduction)
def forward(self, input: Tensor, target: Tensor) -> Tensor:
"""
Runs the forward pass.
@@ -710,15 +704,6 @@ class BCELoss(_WeightedLoss):
__constants__ = ["reduction"]
def __init__(
self,
weight: Optional[Tensor] = None,
size_average=None,
reduce=None,
reduction: str = "mean",
) -> None:
super().__init__(weight, size_average, reduce, reduction)
def forward(self, input: Tensor, target: Tensor) -> Tensor:
"""
Runs the forward pass.
@@ -983,9 +968,6 @@ class MultiLabelMarginLoss(_Loss):
__constants__ = ["reduction"]
def __init__(self, size_average=None, reduce=None, reduction: str = "mean") -> None:
super().__init__(size_average, reduce, reduction)
def forward(self, input: Tensor, target: Tensor) -> Tensor:
"""Runs the forward pass."""
return F.multilabel_margin_loss(input, target, reduction=self.reduction)
@@ -1173,9 +1155,6 @@ class SoftMarginLoss(_Loss):
__constants__ = ["reduction"]
def __init__(self, size_average=None, reduce=None, reduction: str = "mean") -> None:
super().__init__(size_average, reduce, reduction)
def forward(self, input: Tensor, target: Tensor) -> Tensor:
"""Runs the forward pass."""
return F.soft_margin_loss(input, target, reduction=self.reduction)
@@ -1432,15 +1411,6 @@ class MultiLabelSoftMarginLoss(_WeightedLoss):
__constants__ = ["reduction"]
def __init__(
self,
weight: Optional[Tensor] = None,
size_average=None,
reduce=None,
reduction: str = "mean",
) -> None:
super().__init__(weight, size_average, reduce, reduction)
def forward(self, input: Tensor, target: Tensor) -> Tensor:
"""Runs the forward pass."""
return F.multilabel_soft_margin_loss(

3
torch/testing/_internal/distributed/distributed_utils.py
View File

@@ -9,9 +9,6 @@ import torch.distributed.distributed_c10d as c10d
class MockProcessGroup(dist.ProcessGroup):
def __init__(self, rank, world):
super().__init__(rank, world)
def getBackendName(self):
return "mock_process_group"