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zkaoudi pushed a commit to branch rel/1.0.0-rc5
in repository https://gitbox.apache.org/repos/asf/incubator-wayang.git


The following commit(s) were added to refs/heads/rel/1.0.0-rc5 by this push:
     new 5494ee31 Revert "Merge branch 'main' into rel/1.0.0-rc5"
5494ee31 is described below

commit 5494ee31f56dc0c00f436627b7af8b6ef696ab07
Author: Zoi Kaoudi <[email protected]>
AuthorDate: Wed Feb 19 10:53:01 2025 +0100

    Revert "Merge branch 'main' into rel/1.0.0-rc5"
    
    This reverts commit c6caa06e3d30c62a3782c59cb0226fe6b681163e, reversing
    changes made to 4ff8cb3e5f5b010b1e15e59199d9bad8b007b05a.
---
 NOTICE                                             | 13 +++-
 README.md                                          |  2 +-
 pom.xml                                            |  2 +-
 wayang-api/wayang-api-scala-java/pom.xml           |  2 +-
 .../wayang/tensorflow/model/TensorflowModel.java   | 17 +++--
 .../tensorflow/model/TensorflowModelTest.java      | 80 ----------------------
 .../wayang/tests/TensorflowIntegrationIT.java      |  3 +-
 .../org/apache/wayang/tests/TensorflowIrisIT.java  | 10 +--
 8 files changed, 33 insertions(+), 96 deletions(-)

diff --git a/NOTICE b/NOTICE
index c36e94b0..8fb6a048 100644
--- a/NOTICE
+++ b/NOTICE
@@ -7,7 +7,18 @@ The Apache Software Foundation (http://www.apache.org/).
 --
 Some of the files under
 
wayang-commons/wayang-utils-profile-db/src/main/java/org/apache/wayang/commons/util/profiledb
-are licensed under the Apache License, Version 2.0.
+have the following copyright:
 Copyright 2016 Sebastian Kruse
 
+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.
 --
diff --git a/README.md b/README.md
index 06366301..5b2a8301 100644
--- a/README.md
+++ b/README.md
@@ -189,7 +189,7 @@ The list of 
[contributors](https://github.com/apache/incubator-wayang/graphs/con
 ## License
 All files in this repository are licensed under the Apache Software License 2.0
 
-Copyright 2020 - 2025 The Apache Software Foundation.
+Copyright 2020 - 2024 The Apache Software Foundation.
 
 Licensed under the Apache License, Version 2.0 (the "License");
 you may not use this file except in compliance with the License.
diff --git a/pom.xml b/pom.xml
index ee3b7d5e..58032375 100644
--- a/pom.xml
+++ b/pom.xml
@@ -100,7 +100,7 @@
         <maven.kotlin.skip>false</maven.kotlin.skip>
 
         <!-- Timestamp for the reproducible builds -->
-        
<project.build.outputTimestamp>2025-01-31T13:17:35Z</project.build.outputTimestamp>
+        
<project.build.outputTimestamp>2025-02-04T20:09:34Z</project.build.outputTimestamp>
 
         <scala.version>2.12.12</scala.version>
         <scala.mayor.version>2.12</scala.mayor.version>
diff --git a/wayang-api/wayang-api-scala-java/pom.xml 
b/wayang-api/wayang-api-scala-java/pom.xml
index b4c206a1..d26d130f 100644
--- a/wayang-api/wayang-api-scala-java/pom.xml
+++ b/wayang-api/wayang-api-scala-java/pom.xml
@@ -34,7 +34,7 @@
 
     <properties>
         <java-module-name>org.apache.wayang.api</java-module-name>
-        <tensorflow.version>1.0.0-rc.2</tensorflow.version>
+        <tensorflow.version>0.4.2</tensorflow.version>
     </properties>
 
     <dependencyManagement>
diff --git 
a/wayang-platforms/wayang-tensorflow/src/main/java/org/apache/wayang/tensorflow/model/TensorflowModel.java
 
b/wayang-platforms/wayang-tensorflow/src/main/java/org/apache/wayang/tensorflow/model/TensorflowModel.java
index e881f95d..80113ffb 100644
--- 
a/wayang-platforms/wayang-tensorflow/src/main/java/org/apache/wayang/tensorflow/model/TensorflowModel.java
+++ 
b/wayang-platforms/wayang-tensorflow/src/main/java/org/apache/wayang/tensorflow/model/TensorflowModel.java
@@ -22,7 +22,10 @@ import org.apache.wayang.basic.model.DLModel;
 import org.apache.wayang.basic.model.op.Input;
 import org.apache.wayang.basic.model.op.Op;
 import org.apache.wayang.basic.model.optimizer.Optimizer;
-import org.tensorflow.*;
+import org.tensorflow.Graph;
+import org.tensorflow.Operand;
+import org.tensorflow.Session;
+import org.tensorflow.Tensor;
 import org.tensorflow.ndarray.*;
 import org.tensorflow.ndarray.index.Indices;
 import org.tensorflow.op.Ops;
@@ -119,12 +122,14 @@ public class TensorflowModel extends DLModel implements 
AutoCloseable {
                     if (accuracyCalculation != null) {
                         runner.fetch(accuracyCalculation.getName());
                     }
-                    try (Result ret = runner.run()) {
-                        TFloat32 loss = (TFloat32) ret.get(0);
+                    List<Tensor> ret = runner.run();
+                    try (TFloat32 loss = (TFloat32) ret.get(0)) {
                         System.out.printf("[epoch %d, batch %d] loss: %f ", i 
+ 1, start / batchSize + 1, loss.getFloat());
-
-                        TFloat32 acc = (TFloat32) ret.get(1);
-                        System.out.printf("accuracy: %f ", acc.getFloat());
+                    }
+                    if (accuracyCalculation != null) {
+                        try (TFloat32 acc = (TFloat32) ret.get(1)) {
+                            System.out.printf("accuracy: %f ", acc.getFloat());
+                        }
                     }
                     System.out.println();
                 }
diff --git 
a/wayang-platforms/wayang-tensorflow/src/test/java/org/apache/wayang/tensorflow/model/TensorflowModelTest.java
 
b/wayang-platforms/wayang-tensorflow/src/test/java/org/apache/wayang/tensorflow/model/TensorflowModelTest.java
deleted file mode 100644
index 14f0354b..00000000
--- 
a/wayang-platforms/wayang-tensorflow/src/test/java/org/apache/wayang/tensorflow/model/TensorflowModelTest.java
+++ /dev/null
@@ -1,80 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you 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.
- */
-
-package org.apache.wayang.tensorflow.model;
-
-import org.apache.wayang.basic.model.DLModel;
-import org.apache.wayang.basic.model.op.*;
-import org.apache.wayang.basic.model.op.nn.CrossEntropyLoss;
-import org.apache.wayang.basic.model.op.nn.Linear;
-import org.apache.wayang.basic.model.op.nn.Sigmoid;
-import org.apache.wayang.basic.model.optimizer.GradientDescent;
-import org.apache.wayang.basic.model.optimizer.Optimizer;
-import org.junit.Test;
-import org.tensorflow.ndarray.FloatNdArray;
-import org.tensorflow.ndarray.IntNdArray;
-import org.tensorflow.ndarray.NdArrays;
-import org.tensorflow.ndarray.Shape;
-import org.tensorflow.op.Ops;
-import org.tensorflow.types.TFloat32;
-import org.tensorflow.types.TInt32;
-public class TensorflowModelTest {
-    @Test
-    public void test() {
-        FloatNdArray x = NdArrays.ofFloats(Shape.of(6, 4))
-                .set(NdArrays.vectorOf(5.1f, 3.5f, 1.4f, 0.2f), 0)
-                .set(NdArrays.vectorOf(4.9f, 3.0f, 1.4f, 0.2f), 1)
-                .set(NdArrays.vectorOf(6.9f, 3.1f, 4.9f, 1.5f), 2)
-                .set(NdArrays.vectorOf(5.5f, 2.3f, 4.0f, 1.3f), 3)
-                .set(NdArrays.vectorOf(5.8f, 2.7f, 5.1f, 1.9f), 4)
-                .set(NdArrays.vectorOf(6.7f, 3.3f, 5.7f, 2.5f), 5)
-                ;
-        IntNdArray y = NdArrays.vectorOf(0, 0, 1, 1, 2, 2);
-        Op l1 = new Linear(4, 64, true);
-        Op s1 = new Sigmoid();
-        Op l2 = new Linear(64, 3, true);
-        s1.with(l1.with(new Input(Input.Type.FEATURES)));
-        l2.with(s1);
-        DLModel model = new DLModel(l2);
-        Op criterion = new CrossEntropyLoss(3);
-        criterion.with(
-                new Input(Input.Type.PREDICTED, Op.DType.FLOAT32),
-                new Input(Input.Type.LABEL, Op.DType.INT32)
-        );
-        Op acc = new Mean(0);
-        acc.with(new Cast(Op.DType.FLOAT32).with(new Eq().with(
-                new ArgMax(1).with(new Input(Input.Type.PREDICTED, 
Op.DType.FLOAT32)),
-                new Input(Input.Type.LABEL, Op.DType.INT32)
-        )));
-        Optimizer optimizer = new GradientDescent(0.02f);
-        try (TensorflowModel tfModel = new TensorflowModel(model, criterion, 
optimizer, acc)) {
-            System.out.println(tfModel.getOut().getName());
-            tfModel.train(x, y, 100, 6);
-            TFloat32 predicted = tfModel.predict(x);
-            Ops tf = Ops.create();
-            org.tensorflow.op.math.ArgMax<TInt32> argMax = 
tf.math.argMax(tf.constantOf(predicted), tf.constant(1), TInt32.class);
-            final TInt32 tensor = argMax.asTensor();
-            System.out.print("[ ");
-            for (int i = 0; i < tensor.shape().size(0); i++) {
-                System.out.print(tensor.getInt(i) + " ");
-            }
-            System.out.println("]");
-        }
-        System.out.println();
-    }
-}
\ No newline at end of file
diff --git 
a/wayang-tests-integration/src/test/java/org/apache/wayang/tests/TensorflowIntegrationIT.java
 
b/wayang-tests-integration/src/test/java/org/apache/wayang/tests/TensorflowIntegrationIT.java
index b60224a1..3a7f0364 100644
--- 
a/wayang-tests-integration/src/test/java/org/apache/wayang/tests/TensorflowIntegrationIT.java
+++ 
b/wayang-tests-integration/src/test/java/org/apache/wayang/tests/TensorflowIntegrationIT.java
@@ -30,6 +30,7 @@ import org.apache.wayang.core.api.WayangContext;
 import org.apache.wayang.core.plan.wayangplan.WayangPlan;
 import org.apache.wayang.java.Java;
 import org.apache.wayang.tensorflow.Tensorflow;
+import org.junit.Ignore;
 import org.junit.Test;
 
 import java.util.ArrayList;
@@ -67,7 +68,7 @@ public class TensorflowIntegrationIT {
 
     public static String[] LABELS = new String[]{"Iris-setosa", 
"Iris-versicolor", "Iris-virginica"};
 
-    @Test
+    @Ignore
     public void test() {
         /* training features */
         CollectionSource<float[]> trainXSource = new 
CollectionSource<>(trainX, float[].class);
diff --git 
a/wayang-tests-integration/src/test/java/org/apache/wayang/tests/TensorflowIrisIT.java
 
b/wayang-tests-integration/src/test/java/org/apache/wayang/tests/TensorflowIrisIT.java
index e511df82..eb428ffe 100644
--- 
a/wayang-tests-integration/src/test/java/org/apache/wayang/tests/TensorflowIrisIT.java
+++ 
b/wayang-tests-integration/src/test/java/org/apache/wayang/tests/TensorflowIrisIT.java
@@ -24,22 +24,22 @@ import org.apache.wayang.basic.model.op.nn.CrossEntropyLoss;
 import org.apache.wayang.basic.model.op.nn.Linear;
 import org.apache.wayang.basic.model.op.nn.Sigmoid;
 import org.apache.wayang.basic.model.optimizer.Adam;
+import org.apache.wayang.basic.model.optimizer.GradientDescent;
 import org.apache.wayang.basic.model.optimizer.Optimizer;
 import org.apache.wayang.basic.operators.*;
 import org.apache.wayang.core.api.WayangContext;
 import org.apache.wayang.core.plan.wayangplan.Operator;
 import org.apache.wayang.core.plan.wayangplan.WayangPlan;
 import org.apache.wayang.core.util.Tuple;
+import org.apache.wayang.core.util.WayangCollections;
 import org.apache.wayang.java.Java;
 import org.apache.wayang.tensorflow.Tensorflow;
+import org.junit.Ignore;
 import org.junit.Test;
 
 import java.net.URI;
 import java.net.URISyntaxException;
-import java.util.ArrayList;
-import java.util.List;
-import java.util.Map;
-import java.util.Random;
+import java.util.*;
 
 /**
  * Test the Tensorflow integration with Wayang.
@@ -56,7 +56,7 @@ public class TensorflowIrisIT {
             "Iris-virginica", 2
     );
 
-    @Test
+    @Ignore
     public void test() {
         final Tuple<Operator, Operator> trainSource = 
fileOperation(TRAIN_PATH, true);
         final Tuple<Operator, Operator> testSource = fileOperation(TEST_PATH, 
false);

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