add MobileNetV3 (#38653)

* add mobilenetv3

python/paddle/tests/test_pretrained_model.py

@@ -61,6 +61,8 @@ def test_models(self):
         arches = [
             'mobilenet_v1',
             'mobilenet_v2',
+            'mobilenet_v3_small',
+            'mobilenet_v3_large',
             'squeezenet1_0',
             'shufflenet_v2_x0_25',
         ]

python/paddle/tests/test_vision_models.py

@@ -40,6 +40,12 @@ def test_mobilenetv2_pretrained(self):
     def test_mobilenetv1(self):
         self.models_infer('mobilenet_v1')
 
+    def test_mobilenetv3_small(self):
+        self.models_infer('mobilenet_v3_small')
+
+    def test_mobilenetv3_large(self):
+        self.models_infer('mobilenet_v3_large')
+
     def test_vgg11(self):
         self.models_infer('vgg11')
 

python/paddle/vision/__init__.py

@@ -40,6 +40,10 @@
 from .models import mobilenet_v1  # noqa: F401
 from .models import MobileNetV2  # noqa: F401
 from .models import mobilenet_v2  # noqa: F401
+from .models import MobileNetV3Small  # noqa: F401
+from .models import MobileNetV3Large  # noqa: F401
+from .models import mobilenet_v3_small  # noqa: F401
+from .models import mobilenet_v3_large  # noqa: F401
 from .models import SqueezeNet  # noqa: F401
 from .models import squeezenet1_0  # noqa: F401
 from .models import squeezenet1_1  # noqa: F401

python/paddle/vision/models/__init__.py

@@ -24,6 +24,10 @@
 from .mobilenetv1 import mobilenet_v1  # noqa: F401
 from .mobilenetv2 import MobileNetV2  # noqa: F401
 from .mobilenetv2 import mobilenet_v2  # noqa: F401
+from .mobilenetv3 import MobileNetV3Small  # noqa: F401
+from .mobilenetv3 import MobileNetV3Large  # noqa: F401
+from .mobilenetv3 import mobilenet_v3_small  # noqa: F401
+from .mobilenetv3 import mobilenet_v3_large  # noqa: F401
 from .vgg import VGG  # noqa: F401
 from .vgg import vgg11  # noqa: F401
 from .vgg import vgg13  # noqa: F401
@@ -79,6 +83,10 @@
     'mobilenet_v1',
     'MobileNetV2',
     'mobilenet_v2',
+    'MobileNetV3Small',
+    'MobileNetV3Large',
+    'mobilenet_v3_small',
+    'mobilenet_v3_large',
     'LeNet',
     'DenseNet',
     'densenet121',

python/paddle/vision/models/mobilenetv2.py

@@ -12,14 +12,12 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import numpy as np
 import paddle
-
 import paddle.nn as nn
-import paddle.nn.functional as F
-
 from paddle.utils.download import get_weights_path_from_url
 
+from .utils import _make_divisible
+
 __all__ = []
 
 model_urls = {
@@ -29,16 +27,6 @@
 }
 
 
-def _make_divisible(v, divisor, min_value=None):
-    if min_value is None:
-        min_value = divisor
-    new_v = max(min_value, int(v + divisor / 2) // divisor * divisor)
-
-    if new_v < 0.9 * v:
-        new_v += divisor
-    return new_v
-
-
 class ConvBNReLU(nn.Sequential):
     def __init__(self,
                  in_planes,