Add native PyTorch weights for SE-MnasNet aka MnasNet-A1

README.md

@@ -69,6 +69,7 @@ I've leveraged the training scripts in this repository to train a few of the mod
 | seresnext26_32x4d | 77.104 (22.896) | 93.316 (6.684) | 16.8M | bicubic |
 | efficientnet_b0 | 76.912 (23.088) | 93.210 (6.790) | 5.29M | bicubic |
 | mobilenetv3_100 | 75.634 (24.366) | 92.708 (7.292) | 5.5M | bicubic |
+| semnasnet_100 | 75.448 (24.552) | 92.604 (7.396) | 3.89M | bicubic |
 | fbnetc_100 | 75.124 (24.876) | 92.386 (7.614) | 5.6M | bilinear |
 | resnet34 | 75.110 (24.890) | 92.284 (7.716) | 22M | bilinear |
 | seresnet34 | 74.808 (25.192) | 92.124 (7.876) | 22M | bilinear |

models/gen_efficientnet.py

@@ -51,14 +51,18 @@ default_cfgs = {
     'mnasnet_050': _cfg(url=''),
     'mnasnet_075': _cfg(url=''),
     'mnasnet_100': _cfg(url=''),
-    'tflite_mnasnet_100': _cfg(url='https://www.dropbox.com/s/q55ir3tx8mpeyol/tflite_mnasnet_100-31639cdc.pth?dl=1',
-                               interpolation='bicubic'),
+    'tflite_mnasnet_100': _cfg(
+        url='https://www.dropbox.com/s/q55ir3tx8mpeyol/tflite_mnasnet_100-31639cdc.pth?dl=1',
+        interpolation='bicubic'),
     'mnasnet_140': _cfg(url=''),
     'semnasnet_050': _cfg(url=''),
     'semnasnet_075': _cfg(url=''),
-    'semnasnet_100': _cfg(url=''),
-    'tflite_semnasnet_100': _cfg(url='https://www.dropbox.com/s/yiori47sr9dydev/tflite_semnasnet_100-7c780429.pth?dl=1',
-                                 interpolation='bicubic'),
+    'semnasnet_100': _cfg(
+        url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/mnasnet_a1-d9418771.pth',
+        interpolation='bicubic'),
+    'tflite_semnasnet_100': _cfg(
+        url='https://www.dropbox.com/s/yiori47sr9dydev/tflite_semnasnet_100-7c780429.pth?dl=1',
+        interpolation='bicubic'),
     'semnasnet_140': _cfg(url=''),
     'mnasnet_small': _cfg(url=''),
     'mobilenetv1_100': _cfg(url=''),