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Update Regnet model weights #4530

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merged 5 commits into from Oct 5, 2021
Merged

Update Regnet model weights #4530

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5f7fa25
add best weights and x_1_6, x_3_2, y_1_6, y_3_2, y_32 weights
kazhang Sep 30, 2021
6ac8ae0
add best weights and x_1_6, x_3_2, y_1_6, y_3_2, y_32 weights
kazhang Sep 30, 2021
17aec7d
add weights for x_16gf, x_32gf, y_16gf
kazhang Oct 4, 2021
4384b9c
Merge remote-tracking branch 'upstream/main' into models/regnet-weights
kazhang Oct 4, 2021
02934b1
Merge remote-tracking branch 'upstream/main' into models/regnet-weights
kazhang Oct 4, 2021
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26 changes: 21 additions & 5 deletions docs/source/models.rst
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Expand Up @@ -111,10 +111,18 @@ These can be constructed by passing ``pretrained=True``:
efficientnet_b7 = models.efficientnet_b7(pretrained=True)
regnet_y_400mf = models.regnet_y_400mf(pretrained=True)
regnet_y_800mf = models.regnet_y_800mf(pretrained=True)
regnet_y_1_6gf = models.regnet_y_1_6gf(pretrained=True)
regnet_y_3_2gf = models.regnet_y_3_2gf(pretrained=True)
regnet_y_8gf = models.regnet_y_8gf(pretrained=True)
regnet_y_16gf = models.regnet_y_16gf(pretrained=True)
regnet_y_32gf = models.regnet_y_32gf(pretrained=True)
regnet_x_400mf = models.regnet_x_400mf(pretrained=True)
regnet_x_800mf = models.regnet_x_800mf(pretrained=True)
regnet_x_1_6gf = models.regnet_x_1_6gf(pretrained=True)
regnet_x_3_2gf = models.regnet_x_3_2gf(pretrained=True)
regnet_x_8gf = models.regnet_x_8gf(pretrained=True)
regnet_x_16gf = models.regnet_x_16gf(pretrainedTrue)
regnet_x_32gf = models.regnet_x_32gf(pretrained=True)

Instancing a pre-trained model will download its weights to a cache directory.
This directory can be set using the `TORCH_MODEL_ZOO` environment variable. See
Expand Down Expand Up @@ -209,12 +217,20 @@ EfficientNet-B4 83.384 96.594
EfficientNet-B5 83.444 96.628
EfficientNet-B6 84.008 96.916
EfficientNet-B7 84.122 96.908
regnet_x_400mf 72.834 90.950
regnet_x_800mf 75.190 92.418
regnet_x_8gf 79.324 94.694
regnet_y_400mf 74.024 91.680
regnet_x_400mf 72.834 90.950
regnet_x_800mf 75.212 92.348
regnet_x_1_6gf 77.040 93.440
regnet_x_3_2gf 78.364 93.992
regnet_x_8gf 79.344 94.686
regnet_x_16gf 80.058 94.944
regnet_x_32gf 80.622 95.248
regnet_y_400mf 74.046 91.716
regnet_y_800mf 76.420 93.136
regnet_y_8gf 79.966 95.100
regnet_y_1_6gf 77.950 93.966
regnet_y_3_2gf 78.948 94.576
regnet_y_8gf 80.032 95.048
regnet_y_16gf 80.424 95.240
regnet_y_32gf 80.878 95.340
================================ ============= =============


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16 changes: 12 additions & 4 deletions torchvision/models/regnet.py
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Expand Up @@ -36,12 +36,20 @@


model_urls = {
"regnet_y_400mf": "https://download.pytorch.org/models/regnet_y_400mf-540e987b.pth",
"regnet_y_400mf": "https://download.pytorch.org/models/regnet_y_400mf-c65dace8.pth",
"regnet_y_800mf": "https://download.pytorch.org/models/regnet_y_800mf-1b27b58c.pth",
"regnet_y_8gf": "https://download.pytorch.org/models/regnet_y_8gf-49ff86b5.pth",
"regnet_y_1_6gf": "https://download.pytorch.org/models/regnet_y_1_6gf-b11a554e.pth",
"regnet_y_3_2gf": "https://download.pytorch.org/models/regnet_y_3_2gf-b5a9779c.pth",
"regnet_y_8gf": "https://download.pytorch.org/models/regnet_y_8gf-d0d0e4a8.pth",
"regnet_y_16gf": "https://download.pytorch.org/models/regnet_y_16gf-9e6ed7dd.pth",
"regnet_y_32gf": "https://download.pytorch.org/models/regnet_y_32gf-4dee3f7a.pth",
"regnet_x_400mf": "https://download.pytorch.org/models/regnet_x_400mf-adf1edd5.pth",
"regnet_x_800mf": "https://download.pytorch.org/models/regnet_x_800mf-5cb79b7e.pth",
"regnet_x_8gf": "https://download.pytorch.org/models/regnet_x_8gf-4c4e575e.pth",
"regnet_x_800mf": "https://download.pytorch.org/models/regnet_x_800mf-ad17e45c.pth",
"regnet_x_1_6gf": "https://download.pytorch.org/models/regnet_x_1_6gf-e3633e7f.pth",
"regnet_x_3_2gf": "https://download.pytorch.org/models/regnet_x_3_2gf-f342aeae.pth",
"regnet_x_8gf": "https://download.pytorch.org/models/regnet_x_8gf-03ceed89.pth",
"regnet_x_16gf": "https://download.pytorch.org/models/regnet_x_16gf-2007eb11.pth",
"regnet_x_32gf": "https://download.pytorch.org/models/regnet_x_32gf-9d47f8d0.pth",
}


Expand Down