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ultralytics 8.2.98 faster fuse() operations (#16375)

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Glenn Jocher 2024-09-19 21:22:55 +02:00 • committed by GitHub
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2 changed files with 3 additions and 3 deletions
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2
ultralytics/__init__.py
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@ -1,6 +1,6 @@
# Ultralytics YOLO 🚀, AGPL-3.0 license # Ultralytics YOLO 🚀, AGPL-3.0 license
__version__ = "8.2.97" __version__ = "8.2.98"
import os import os

4
ultralytics/utils/torch_utils.py
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@ -251,7 +251,7 @@ def fuse_conv_and_bn(conv, bn):
) )
# Prepare filters # Prepare filters
w_conv = conv.weight.clone().view(conv.out_channels, -1) w_conv = conv.weight.view(conv.out_channels, -1)
w_bn = torch.diag(bn.weight.div(torch.sqrt(bn.eps + bn.running_var))) w_bn = torch.diag(bn.weight.div(torch.sqrt(bn.eps + bn.running_var)))
fusedconv.weight.copy_(torch.mm(w_bn, w_conv).view(fusedconv.weight.shape)) fusedconv.weight.copy_(torch.mm(w_bn, w_conv).view(fusedconv.weight.shape))
@ -282,7 +282,7 @@ def fuse_deconv_and_bn(deconv, bn):
) )
# Prepare filters # Prepare filters
w_deconv = deconv.weight.clone().view(deconv.out_channels, -1) w_deconv = deconv.weight.view(deconv.out_channels, -1)
w_bn = torch.diag(bn.weight.div(torch.sqrt(bn.eps + bn.running_var))) w_bn = torch.diag(bn.weight.div(torch.sqrt(bn.eps + bn.running_var)))
fuseddconv.weight.copy_(torch.mm(w_bn, w_deconv).view(fuseddconv.weight.shape)) fuseddconv.weight.copy_(torch.mm(w_bn, w_deconv).view(fuseddconv.weight.shape))