move files

.gitignore

@@ -2,7 +2,6 @@ __pycache__/
 *.pyc
 *.sw*
 */workerlog*
-dataset/
 checkpoints/
 output/
 pretrained/

ppcls/__init__.py

@@ -14,7 +14,7 @@
 
 from . import optimizer
 
-from .modeling import *
+from .arch import *
 from .optimizer import *
 from .data import *
 from .utils import *

ppcls/arch/__init__.py

@@ -12,9 +12,8 @@
 #See the License for the specific language governing permissions and
 #limitations under the License.
 
-from . import architectures
-from . import loss
+from . import backbone
 
-from .architectures import *
+from .backbone import *
 from .loss import *
 from .utils import *

ppcls/arch/backbone/base/theseus_layer.py

@@ -0,0 +1,63 @@
+from abc import ABC
+from paddle import nn
+import re
+
+
+class Identity(nn.Layer):
+    def __init__(self):
+        super(Identity, self).__init__()
+
+    def forward(self, inputs):
+        return inputs
+
+
+class TheseusLayer(nn.Layer, ABC):
+    def __init__(self, *args, return_patterns=None, stop_layer=None, **kwargs):
+        super(TheseusLayer, self).__init__()
+        self.res_dict = None
+        self.register_forward_post_hook(self._disconnect_res_dict_hook)
+        if return_patterns is not None or stop_layer is not None:
+            self._update_sub(return_patterns, stop_layer)
+
+    def forward(self, *input, res_dict=None, **kwargs):
+        if res_dict is not None:
+            self.res_dict = res_dict
+
+    def _update_sub(self, return_layers, stop_layer):
+        after_stop = False
+        for layer_i in self._sub_layers:
+            layer_name = self._sub_layers[layer_i].full_name()
+            if stop_layer is not None and layer_name == stop_layer:
+                after_stop = True
+            if after_stop:
+                self._sub_layers[layer_i] = Identity()
+            for return_pattern in return_layers:
+                if return_layers is not None and re.match(return_pattern, layer_name):
+                    self._sub_layers[layer_i].register_forward_post_hook(self._save_sub_res_hook)
+
+    def _save_sub_res_hook(self, layer, input, output):
+        self.res_dict[layer.full_name()] = output
+
+    def _disconnect_res_dict_hook(self, input, output):
+        self.res_dict = None
+
+    def replace_sub(self, layer_name_pattern, replace_function, recursive=True):
+        for layer_i in self._sub_layers:
+            layer_name = self._sub_layers[layer_i].full_name()
+            if re.match(layer_name_pattern, layer_name):
+                self._sub_layers[layer_i] = replace_function(self._sub_layers[layer_i])
+            if recursive and isinstance(self._sub_layers[layer_i], TheseusLayer):
+                self._sub_layers[layer_i].replace_sub(layer_name_pattern, replace_function, recursive)
+
+    '''
+    example of replace function:
+    def replace_conv(origin_conv: nn.Conv2D):
+        new_conv = nn.Conv2D(
+            in_channels=origin_conv._in_channels,
+            out_channels=origin_conv._out_channels,
+            kernel_size=origin_conv._kernel_size,
+            stride=2
+        )
+        return new_conv
+
+        '''

ppcls/arch/utils.py

@@ -16,7 +16,7 @@ import six
 import types
 from difflib import SequenceMatcher
 
-from . import architectures
+from . import backbone
 
 
 def get_architectures():
@@ -24,15 +24,15 @@ def get_architectures():
     get all of model architectures
     """
     names = []
-    for k, v in architectures.__dict__.items():
+    for k, v in backbone.__dict__.items():
         if isinstance(v, (types.FunctionType, six.class_types)):
             names.append(k)
     return names
 
 
 def get_blacklist_model_in_static_mode():
-    from ppcls.modeling.architectures import distilled_vision_transformer
-    from ppcls.modeling.architectures import vision_transformer
+    from ppcls.arch.backbone import distilled_vision_transformer
+    from ppcls.arch.backbone import vision_transformer
     blacklist = distilled_vision_transformer.__all__ + vision_transformer.__all__
     return blacklist