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"""
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Copyright (c) 2024 The D-FINE Authors. All Rights Reserved.
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"""
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import torch.nn as nn
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from ...core import register
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__all__ = [
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"DFINE",
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]
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@register()
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class DFINE(nn.Module):
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__inject__ = [
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"backbone",
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"encoder",
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"decoder",
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]
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def __init__(
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self,
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backbone: nn.Module,
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encoder: nn.Module,
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decoder: nn.Module,
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):
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super().__init__()
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self.backbone = backbone
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self.decoder = decoder
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self.encoder = encoder
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def forward(self, x, targets=None):
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x = self.backbone(x)
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x = self.encoder(x)
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x = self.decoder(x, targets)
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return x
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def deploy(
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self,
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):
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self.eval()
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for m in self.modules():
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if hasattr(m, "convert_to_deploy"):
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m.convert_to_deploy()
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return self
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