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fix: atrous_rates for deeplabv3_mobilenet_v3_large (fixes #7956) #8019

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merged 2 commits into from
Oct 11, 2023
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fix: atrous_rates for deeplabv3_mobilenet_v3_large (fixes #7956) #8019

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67dce75
feat: parameterize atrous_rates for deeplabv3 in `DeepLabHead`.
nvs-abhilash Oct 5, 2023
c65397d
Merge branch 'main' into mobilenet-fix
NicolasHug Oct 11, 2023
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8 changes: 4 additions & 4 deletions torchvision/models/segmentation/deeplabv3.py
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Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
from functools import partial
from typing import Any, List, Optional
from typing import Any, Optional, Sequence

import torch
from torch import nn
Expand Down Expand Up @@ -46,9 +46,9 @@ class DeepLabV3(_SimpleSegmentationModel):


class DeepLabHead(nn.Sequential):
def __init__(self, in_channels: int, num_classes: int) -> None:
def __init__(self, in_channels: int, num_classes: int, atrous_rates: Sequence[int] = (12, 24, 36)) -> None:
super().__init__(
ASPP(in_channels, [12, 24, 36]),
ASPP(in_channels, atrous_rates),
nn.Conv2d(256, 256, 3, padding=1, bias=False),
nn.BatchNorm2d(256),
nn.ReLU(),
Expand Down Expand Up @@ -83,7 +83,7 @@ def forward(self, x: torch.Tensor) -> torch.Tensor:


class ASPP(nn.Module):
def __init__(self, in_channels: int, atrous_rates: List[int], out_channels: int = 256) -> None:
def __init__(self, in_channels: int, atrous_rates: Sequence[int], out_channels: int = 256) -> None:
super().__init__()
modules = []
modules.append(
Expand Down