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6208 fix-endoscopic-tool-segmentation-ckpt-export #6209

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Merged
wyli merged 5 commits into from
Mar 21, 2023
Merged

6208 fix-endoscopic-tool-segmentation-ckpt-export #6209

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a0c8fcd
add pre_conv parameter to FlexibleUNet and update the type hint in ba…
binliunls Mar 21, 2023
f9ee375
update the import order
binliunls Mar 21, 2023
982bad5
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Mar 21, 2023
f4b9838
change the type hint to Union to avoid being fixed by pre commit
binliunls Mar 21, 2023
8b78144
workaround for typing tensorrt
wyli Mar 21, 2023
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4 changes: 2 additions & 2 deletions monai/networks/nets/basic_unet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -149,12 +149,12 @@ def __init__(
self.convs = TwoConv(spatial_dims, cat_chns + up_chns, out_chns, act, norm, bias, dropout)
self.is_pad = is_pad

def forward(self, x: torch.Tensor, x_e: torch.Tensor | None):
def forward(self, x: torch.Tensor, x_e: torch.Tensor):
"""

Args:
x: features to be upsampled.
x_e: features from the encoder.
x_e: optional features from the encoder, if None, this branch is not in use.
"""
x_0 = self.upsample(x)

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5 changes: 4 additions & 1 deletion monai/networks/nets/flexible_unet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -232,6 +232,7 @@ def __init__(
dropout: float | tuple = 0.0,
decoder_bias: bool = False,
upsample: str = "nontrainable",
pre_conv: str = "default",
interp_mode: str = "nearest",
is_pad: bool = True,
) -> None:
Expand Down Expand Up @@ -262,6 +263,8 @@ def __init__(
decoder_bias: whether to have a bias term in decoder's convolution blocks.
upsample: upsampling mode, available options are``"deconv"``, ``"pixelshuffle"``,
``"nontrainable"``.
pre_conv:a conv block applied before upsampling. Only used in the "nontrainable" or
"pixelshuffle" mode, default to `default`.
interp_mode: {``"nearest"``, ``"linear"``, ``"bilinear"``, ``"bicubic"``, ``"trilinear"``}
Only used in the "nontrainable" mode.
is_pad: whether to pad upsampling features to fit features from encoder. Default to True.
Expand Down Expand Up @@ -309,7 +312,7 @@ def __init__(
bias=decoder_bias,
upsample=upsample,
interp_mode=interp_mode,
pre_conv="default",
pre_conv=pre_conv,
align_corners=None,
is_pad=is_pad,
)
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