update

demo/gan_compression/configs/__init__.py

+"""Based on https://github.com/mit-han-lab/gan-compression """
+
+
 def encode_config(config):
     return '_'.join([str(c) for c in config['channels']])
 

demo/gan_compression/configs/resnet_configs.py

+"""Based on https://github.com/mit-han-lab/gan-compression """
+
 import random
 
 

demo/gan_compression/configs/single_configs.py

+"""Based on https://github.com/mit-han-lab/gan-compression """
+
+
 class SingleConfigs:
     def __init__(self, config):
         self.attributes = ['n_channels']

demo/gan_compression/distillers/__init__.py

+"""Based on https://github.com/mit-han-lab/gan-compression """
+
 import importlib
 from models.base_model import BaseModel
 

demo/gan_compression/get_real_stat.py

+#   Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
 import numpy as np
 import argparse
 

demo/gan_compression/models/__init__.py

+"""Based on https://github.com/mit-han-lab/gan-compression """
+
 import importlib
 from .base_model import BaseModel
 

demo/gan_compression/models/generator/mobile_generator.py

+#   Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
 import functools
 import paddle.fluid as fluid
 from paddle.fluid.dygraph.nn import InstanceNorm, Conv2D, Conv2DTranspose

demo/gan_compression/models/generator/resnet_generator.py

+#   Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
 import functools
 import paddle.fluid as fluid
 import paddle.tensor as tensor

demo/gan_compression/models/generator/sub_mobile_generator.py

+#   Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
 import functools
 import paddle.fluid as fluid
 import paddle.tensor as tensor

demo/gan_compression/models/generator/super_generator.py

+#   Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
 import functools
 import paddle.fluid as fluid
 import paddle.tensor as tensor

demo/gan_compression/search.py

+#   Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
 import os
 import pickle
 import random

demo/gan_compression/select_arch.py

+"""Based on https://github.com/mit-han-lab/gan-compression """
+
 import argparse
 import pickle
 

demo/gan_compression/supernets/__init__.py

+"""Based on https://github.com/mit-han-lab/gan-compression """
+
 import importlib
 from models.base_model import BaseModel
 

demo/gan_compression/utils/image_pool.py

@@ -25,25 +25,3 @@ class ImagePool():
                 return temp
             else:
                 return image
-
-
-#        return_images = []
-#        for img in image:
-#            img = img.detach()
-#            img = fluid.layers.unsqueeze(img, axes=0)
-#            if self.num_imgs < self.pool_size:
-#                self.num_imgs = self.num_imgs + 1
-#                self.images.append(img)
-#                return_images.append(img)
-#            else:
-#                p = random.uniform(0, 1)
-#                if p > 0.5:
-#                    random_id = random.randint(0, self.pool_size - 1)
-#                    temp = self.images[random_id]
-#                    self.images[random_id] = img
-#                    return_images.append(temp)
-#                else:
-#                    return_images.append(img)
-#
-#        return_images = fluid.layers.concat(return_images, axis=0)
-#        return return_images