Fixed another syntax error

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

 <#list tc.getLayerVariableMembers("batch_size")?keys as member>
-                    ${member} = mx.nd.zeroes((${tc.join(tc.getLayerVariableMembers("batch_size")[member], ", ")},), ctx=mx_context)
+                    ${member} = mx.nd.zeros((${tc.join(tc.getLayerVariableMembers("batch_size")[member], ", ")},), ctx=mx_context)
 </#list>
 <#list tc.architecture.outputs as output>
-                    ${tc.getName(output)} = mx.nd.zeroes((${tc.join(output.ioDeclaration.type.dimensions, ", ")},), ctx=mx_context)
+                    ${tc.getName(output)} = mx.nd.zeros((${tc.join(output.ioDeclaration.type.dimensions, ", ")},), ctx=mx_context)
 </#list>
 
 <#list tc.architecture.streams as stream>

src/test/resources/target_code/CNNSupervisedTrainer_Alexnet.py

@@ -136,7 +136,7 @@ class CNNSupervisedTrainer_Alexnet:
                 predictions_label = batch.label[0].as_in_context(mx_context)
 
                 with autograd.record():
-                    predictions_ = mx.nd.zeroes((10,), ctx=mx_context)
+                    predictions_ = mx.nd.zeros((10,), ctx=mx_context)
 
                     predictions_ = self._networks[0](data_)
 
@@ -173,7 +173,7 @@ class CNNSupervisedTrainer_Alexnet:
                 ]
 
                 if True:
-                    predictions_ = mx.nd.zeroes((10,), ctx=mx_context)
+                    predictions_ = mx.nd.zeros((10,), ctx=mx_context)
 
                     predictions_ = self._networks[0](data_)
 
@@ -194,7 +194,7 @@ class CNNSupervisedTrainer_Alexnet:
                 ]
 
                 if True:
-                    predictions_ = mx.nd.zeroes((10,), ctx=mx_context)
+                    predictions_ = mx.nd.zeros((10,), ctx=mx_context)
 
                     predictions_ = self._networks[0](data_)
 

src/test/resources/target_code/CNNSupervisedTrainer_CifarClassifierNetwork.py

@@ -136,7 +136,7 @@ class CNNSupervisedTrainer_CifarClassifierNetwork:
                 softmax_label = batch.label[0].as_in_context(mx_context)
 
                 with autograd.record():
-                    softmax_ = mx.nd.zeroes((10,), ctx=mx_context)
+                    softmax_ = mx.nd.zeros((10,), ctx=mx_context)
 
                     softmax_ = self._networks[0](data_)
 
@@ -173,7 +173,7 @@ class CNNSupervisedTrainer_CifarClassifierNetwork:
                 ]
 
                 if True:
-                    softmax_ = mx.nd.zeroes((10,), ctx=mx_context)
+                    softmax_ = mx.nd.zeros((10,), ctx=mx_context)
 
                     softmax_ = self._networks[0](data_)
 
@@ -194,7 +194,7 @@ class CNNSupervisedTrainer_CifarClassifierNetwork:
                 ]
 
                 if True:
-                    softmax_ = mx.nd.zeroes((10,), ctx=mx_context)
+                    softmax_ = mx.nd.zeros((10,), ctx=mx_context)
 
                     softmax_ = self._networks[0](data_)
 

src/test/resources/target_code/CNNSupervisedTrainer_VGG16.py

@@ -136,7 +136,7 @@ class CNNSupervisedTrainer_VGG16:
                 predictions_label = batch.label[0].as_in_context(mx_context)
 
                 with autograd.record():
-                    predictions_ = mx.nd.zeroes((1000,), ctx=mx_context)
+                    predictions_ = mx.nd.zeros((1000,), ctx=mx_context)
 
                     predictions_ = self._networks[0](data_)
 
@@ -173,7 +173,7 @@ class CNNSupervisedTrainer_VGG16:
                 ]
 
                 if True:
-                    predictions_ = mx.nd.zeroes((1000,), ctx=mx_context)
+                    predictions_ = mx.nd.zeros((1000,), ctx=mx_context)
 
                     predictions_ = self._networks[0](data_)
 
@@ -194,7 +194,7 @@ class CNNSupervisedTrainer_VGG16:
                 ]
 
                 if True:
-                    predictions_ = mx.nd.zeroes((1000,), ctx=mx_context)
+                    predictions_ = mx.nd.zeros((1000,), ctx=mx_context)
 
                     predictions_ = self._networks[0](data_)