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Update sotabench.py

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pull/66/head
Ross Wightman 5 years ago committed by GitHub
parent 53f578e16f
commit a4497afa21
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1 changed files with 2 additions and 2 deletions
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sotabench.py
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@ -103,9 +103,9 @@ model_list = [
_entry('seresnet34', 'SE-ResNet-34', '1709.01507'), _entry('seresnet34', 'SE-ResNet-34', '1709.01507'),
_entry('seresnext26_32x4d', 'SE-ResNeXt-26 32x4d', '1709.01507', _entry('seresnext26_32x4d', 'SE-ResNeXt-26 32x4d', '1709.01507',
model_desc='Block cfg of SE-ResNeXt-34 w/ Bottleneck'), model_desc='Block cfg of SE-ResNeXt-34 w/ Bottleneck'),
_entry('seresnext26d_32x4d', 'SE-ResNeXt-26-D 32x4d', '', _entry('seresnext26d_32x4d', 'SE-ResNeXt-26-D 32x4d', '1812.01187',
model_desc='Block cfg of SE-ResNeXt-34 w/ Bottleneck, deep stem, and avg-pool in downsample layers.'), model_desc='Block cfg of SE-ResNeXt-34 w/ Bottleneck, deep stem, and avg-pool in downsample layers.'),
_entry('seresnext26t_32x4d', 'SE-ResNeXt-26-T 32x4d', '', _entry('seresnext26t_32x4d', 'SE-ResNeXt-26-T 32x4d', '1812.01187',
model_desc='Block cfg of SE-ResNeXt-34 w/ Bottleneck, deep tiered stem, and avg-pool in downsample layers.'), model_desc='Block cfg of SE-ResNeXt-34 w/ Bottleneck, deep tiered stem, and avg-pool in downsample layers.'),
_entry('spnasnet_100', 'Single-Path NAS', '1904.02877', _entry('spnasnet_100', 'Single-Path NAS', '1904.02877',
model_desc='Trained in PyTorch with SGD, cosine LR decay'), model_desc='Trained in PyTorch with SGD, cosine LR decay'),

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