Fix parameter loading

pom.xml

@@ -8,7 +8,7 @@
 
   <groupId>de.monticore.lang.monticar</groupId>
   <artifactId>cnnarch-gluon-generator</artifactId>
-  <version>0.1.4</version>
+  <version>0.1.5</version>
 
   <!-- == PROJECT DEPENDENCIES ============================================= -->
 

src/main/resources/templates/gluon/CNNCreator.ftl

@@ -56,7 +56,7 @@ class ${tc.fileNameWithoutEnding}:
             return 0
         else:
             logging.info("Loading checkpoint: " + param_file)
-            self.net.load_parameters(param_file)
+            self.net.load_parameters(self._model_dir_ + param_file)
             return lastEpoch
 
 
@@ -223,10 +223,11 @@ class ${tc.fileNameWithoutEnding}:
             logging.info("Epoch[%d] Train: %f, Test: %f" % (epoch, train_metric_score, test_metric_score))
 
             if (epoch - begin_epoch) % checkpoint_period == 0:
-                self.net.export(self._model_dir_ + self._model_prefix_, epoch)
+                self.net.save_parameters(self._model_dir_ + self._model_prefix_ + '-' + str(epoch).zfill(4) + '.params')
 
-        self.net.export(self._model_dir_ + self._model_prefix_, num_epoch + begin_epoch)
-        self.net.export(self._model_dir_ + self._model_prefix_ + '_newest', 0)
+        self.net.save_parameters(self._model_dir_ + self._model_prefix_ + '-'
+            + str(num_epoch + begin_epoch).zfill(4) + '.params')
+        self.net.export(self._model_dir_ + self._model_prefix_ + '_newest', epoch=0)
 
 
     def construct(self, context, data_mean=None, data_std=None):
@@ -234,3 +235,8 @@ class ${tc.fileNameWithoutEnding}:
         self.net.collect_params().initialize(self.weight_initializer, ctx=context)
         self.net.hybridize()
         self.net(mx.nd.zeros((1,)+self._input_shapes_[0], ctx=context))
+
+        if not os.path.exists(self._model_dir_):
+            os.makedirs(self._model_dir_)
+
+        self.net.export(self._model_dir_ + self._model_prefix_, epoch=0)

src/test/resources/target_code/CNNCreator_Alexnet.py

@@ -56,7 +56,7 @@ class CNNCreator_Alexnet:
             return 0
         else:
             logging.info("Loading checkpoint: " + param_file)
-            self.net.load_parameters(param_file)
+            self.net.load_parameters(self._model_dir_ + param_file)
             return lastEpoch
 
 
@@ -223,10 +223,11 @@ class CNNCreator_Alexnet:
             logging.info("Epoch[%d] Train: %f, Test: %f" % (epoch, train_metric_score, test_metric_score))
 
             if (epoch - begin_epoch) % checkpoint_period == 0:
-                self.net.export(self._model_dir_ + self._model_prefix_, epoch)
+                self.net.save_parameters(self._model_dir_ + self._model_prefix_ + '-' + str(epoch).zfill(4) + '.params')
 
-        self.net.export(self._model_dir_ + self._model_prefix_, num_epoch + begin_epoch)
-        self.net.export(self._model_dir_ + self._model_prefix_ + '_newest', 0)
+        self.net.save_parameters(self._model_dir_ + self._model_prefix_ + '-'
+                                 + str(num_epoch + begin_epoch).zfill(4) + '.params')
+        self.net.export(self._model_dir_ + self._model_prefix_ + '_newest', epoch=0)
 
 
     def construct(self, context, data_mean=None, data_std=None):
@@ -234,3 +235,8 @@ class CNNCreator_Alexnet:
         self.net.collect_params().initialize(self.weight_initializer, ctx=context)
         self.net.hybridize()
         self.net(mx.nd.zeros((1,)+self._input_shapes_[0], ctx=context))
+
+        if not os.path.exists(self._model_dir_):
+            os.makedirs(self._model_dir_)
+
+        self.net.export(self._model_dir_ + self._model_prefix_, epoch=0)

src/test/resources/target_code/CNNCreator_CifarClassifierNetwork.py

@@ -56,7 +56,7 @@ class CNNCreator_CifarClassifierNetwork:
             return 0
         else:
             logging.info("Loading checkpoint: " + param_file)
-            self.net.load_parameters(param_file)
+            self.net.load_parameters(self._model_dir_ + param_file)
             return lastEpoch
 
 
@@ -223,10 +223,11 @@ class CNNCreator_CifarClassifierNetwork:
             logging.info("Epoch[%d] Train: %f, Test: %f" % (epoch, train_metric_score, test_metric_score))
 
             if (epoch - begin_epoch) % checkpoint_period == 0:
-                self.net.export(self._model_dir_ + self._model_prefix_, epoch)
+                self.net.save_parameters(self._model_dir_ + self._model_prefix_ + '-' + str(epoch).zfill(4) + '.params')
 
-        self.net.export(self._model_dir_ + self._model_prefix_, num_epoch + begin_epoch)
-        self.net.export(self._model_dir_ + self._model_prefix_ + '_newest', 0)
+        self.net.save_parameters(self._model_dir_ + self._model_prefix_ + '-'
+                                 + str(num_epoch + begin_epoch).zfill(4) + '.params')
+        self.net.export(self._model_dir_ + self._model_prefix_ + '_newest', epoch=0)
 
 
     def construct(self, context, data_mean=None, data_std=None):
@@ -234,3 +235,8 @@ class CNNCreator_CifarClassifierNetwork:
         self.net.collect_params().initialize(self.weight_initializer, ctx=context)
         self.net.hybridize()
         self.net(mx.nd.zeros((1,)+self._input_shapes_[0], ctx=context))
+
+        if not os.path.exists(self._model_dir_):
+            os.makedirs(self._model_dir_)
+
+        self.net.export(self._model_dir_ + self._model_prefix_, epoch=0)

src/test/resources/target_code/CNNCreator_VGG16.py

@@ -56,7 +56,7 @@ class CNNCreator_VGG16:
             return 0
         else:
             logging.info("Loading checkpoint: " + param_file)
-            self.net.load_parameters(param_file)
+            self.net.load_parameters(self._model_dir_ + param_file)
             return lastEpoch
 
 
@@ -223,10 +223,11 @@ class CNNCreator_VGG16:
             logging.info("Epoch[%d] Train: %f, Test: %f" % (epoch, train_metric_score, test_metric_score))
 
             if (epoch - begin_epoch) % checkpoint_period == 0:
-                self.net.export(self._model_dir_ + self._model_prefix_, epoch)
+                self.net.save_parameters(self._model_dir_ + self._model_prefix_ + '-' + str(epoch).zfill(4) + '.params')
 
-        self.net.export(self._model_dir_ + self._model_prefix_, num_epoch + begin_epoch)
-        self.net.export(self._model_dir_ + self._model_prefix_ + '_newest', 0)
+        self.net.save_parameters(self._model_dir_ + self._model_prefix_ + '-'
+                                 + str(num_epoch + begin_epoch).zfill(4) + '.params')
+        self.net.export(self._model_dir_ + self._model_prefix_ + '_newest', epoch=0)
 
 
     def construct(self, context, data_mean=None, data_std=None):
@@ -234,3 +235,8 @@ class CNNCreator_VGG16:
         self.net.collect_params().initialize(self.weight_initializer, ctx=context)
         self.net.hybridize()
         self.net(mx.nd.zeros((1,)+self._input_shapes_[0], ctx=context))
+
+        if not os.path.exists(self._model_dir_):
+            os.makedirs(self._model_dir_)
+
+        self.net.export(self._model_dir_ + self._model_prefix_, epoch=0)