Migrate DJL from awslabs to deepjavalibrary organization (deepjavalib…

…rary#882)

* Migrate DJL from awslabs to deepjavalibrary organization

Change-Id: I3b391e5de67f87b31af0c8beafb2622c0b1b60ca

* Temporary disable codecov

Change-Id: I5c274b8c8ef06b84b9498bfb52606258dfc7c656

.github/workflows/continuous.yml

@@ -20,7 +20,7 @@ on:
 
 jobs:
   build:
-    if: github.repository == 'awslabs/djl'
+    if: github.repository == 'deepjavalibrary/djl'
     runs-on: ${{ matrix.operating-system }}
     strategy:
       matrix:
@@ -127,17 +127,17 @@ jobs:
         with:
           name: tensorflow-model-zoo
           path: tensorflow/tensorflow-model-zoo/build/reports
-      - name: upload to codecov
-        uses: codecov/[email protected].0
-        with:
-          files: ./build/reports/jacoco/jacocoRootReport/jacocoRootReport.xml
-          name: codecov-umbrella
-          fail_ci_if_error: true
-          path_to_write_report: ./codecov_report.txt
+#      - name: upload to codecov
+#        uses: codecov/[email protected].1
+#        with:
+#          files: ./build/reports/jacoco/jacocoRootReport/jacocoRootReport.xml
+#          name: codecov-umbrella
+#          fail_ci_if_error: true
+#          path_to_write_report: ./codecov_report.txt
 
   # Windows platform for testing hybrid engines
   build-windows:
-    if: github.repository == 'awslabs/djl'
+    if: github.repository == 'deepjavalibrary/djl'
     runs-on: windows-latest
     steps:
       - uses: actions/checkout@v1

.github/workflows/docs.yml

@@ -12,7 +12,7 @@ on:
 
 jobs:
   documentation:
-    if: github.repository == 'awslabs/djl'
+    if: github.repository == 'deepjavalibrary/djl'
     runs-on: ubuntu-18.04
     steps:
       - name: Set up JDK 11

.github/workflows/native_jni_s3_paddle.yml

@@ -7,7 +7,7 @@ on:
 
 jobs:
   build-paddle-jni-cpu:
-    if: github.repository == 'awslabs/djl'
+    if: github.repository == 'deepjavalibrary/djl'
     runs-on: ${{ matrix.operating-system }}
     strategy:
       matrix:
@@ -35,7 +35,7 @@ jobs:
           path: paddlepaddle/paddlepaddle-native/jnilib
 
   publish:
-    if: github.repository == 'awslabs/djl'
+    if: github.repository == 'deepjavalibrary/djl'
     runs-on: ubuntu-18.04
     needs: [build-paddle-jni-cpu]
     steps:

.github/workflows/native_jni_s3_pytorch.yml

@@ -7,7 +7,7 @@ on:
 
 jobs:
   build-pytorch-jni-cpu:
-    if: github.repository == 'awslabs/djl'
+    if: github.repository == 'deepjavalibrary/djl'
     runs-on: ${{ matrix.operating-system }}
     strategy:
       matrix:
@@ -43,7 +43,7 @@ jobs:
           aws cloudfront create-invalidation --distribution-id E371VB8JQ6NRVY --paths "/pytorch-1.8.1/jnilib*"
 
   build-pytorch-jni-linux-gpu:
-    if: github.repository == 'awslabs/djl'
+    if: github.repository == 'deepjavalibrary/djl'
     runs-on: ubuntu-latest
     container: nvidia/cuda:10.2-cudnn7-devel-ubuntu16.04
     steps:
@@ -82,7 +82,7 @@ jobs:
           aws cloudfront create-invalidation --distribution-id E371VB8JQ6NRVY --paths "/pytorch-1.8.1/jnilib*"
 
   build-pytorch-jni-precxx11:
-    if: github.repository == 'awslabs/djl'
+    if: github.repository == 'deepjavalibrary/djl'
     runs-on: ubuntu-latest
     container: nvidia/cuda:10.1-cudnn7-devel-centos7
     steps:
@@ -120,7 +120,7 @@ jobs:
           aws cloudfront create-invalidation --distribution-id E371VB8JQ6NRVY --paths "/pytorch-1.8.1/jnilib/precxx11*"
 
   build-pytorch-jni-windows-gpu:
-    if: github.repository == 'awslabs/djl'
+    if: github.repository == 'deepjavalibrary/djl'
     runs-on: windows-latest
     steps:
       - uses: actions/checkout@v1

.github/workflows/native_jni_s3_pytorch_android.yml

@@ -5,7 +5,7 @@ on:
 
 jobs:
   build-pytorch-jni-android:
-    if: github.repository == 'awslabs/djl'
+    if: github.repository == 'deepjavalibrary/djl'
     runs-on: ubuntu-18.04
     env:
       NDK_VERSION: "20.0.5594570"
@@ -36,7 +36,7 @@ jobs:
           path: pytorch/pytorch-native/jnilib
 
   publish:
-    if: github.repository == 'awslabs/djl'
+    if: github.repository == 'deepjavalibrary/djl'
     runs-on: ubuntu-18.04
     needs: [build-pytorch-jni-android]
     steps:

.github/workflows/nightly_publish.yml

@@ -12,7 +12,7 @@ on:
 
 jobs:
   build:
-    if: github.repository == 'awslabs/djl'
+    if: github.repository == 'deepjavalibrary/djl'
     runs-on: ${{ matrix.operating-system }}
     strategy:
       matrix:
@@ -103,7 +103,7 @@ jobs:
           path: tensorflow/tensorflow-model-zoo/build/reports
 
   test-pytorch:
-    if: github.repository == 'awslabs/djl'
+    if: github.repository == 'deepjavalibrary/djl'
     runs-on: ${{ matrix.operating-system }}
     strategy:
       matrix:
@@ -126,7 +126,7 @@ jobs:
         run: ./gradlew :integration:test "-Dai.djl.default_engine=PyTorch"
 
   test-tensorflow:
-    if: github.repository == 'awslabs/djl'
+    if: github.repository == 'deepjavalibrary/djl'
     runs-on: ${{ matrix.operating-system }}
     strategy:
       matrix:
@@ -149,7 +149,7 @@ jobs:
         run: ./gradlew :integration:test "-Dai.djl.default_engine=TensorFlow"
 
   publish:
-    if: github.repository == 'awslabs/djl'
+    if: github.repository == 'deepjavalibrary/djl'
     runs-on: ubuntu-18.04
     needs: [ build, test-pytorch, test-tensorflow ]
     steps:

README.md

@@ -1,11 +1,11 @@
 
 ![DeepJavaLibrary](website/img/deepjavalibrary.png?raw=true "Deep Java Library")
 
-![Continuous](https://github.com/awslabs/djl/workflows/Continuous/badge.svg)
-![Continuous PyTorch](https://github.com/awslabs/djl/workflows/Continous%20PyTorch/badge.svg)
-![Continuous Tensorflow](https://github.com/awslabs/djl/workflows/Continuous%20Tensorflow/badge.svg)
-![Docs](https://github.com/awslabs/djl/workflows/Docs/badge.svg)
-![Nightly Publish](https://github.com/awslabs/djl/workflows/Nightly%20Publish/badge.svg)
+![Continuous](https://github.com/deepjavalibrary/djl/workflows/Continuous/badge.svg)
+![Continuous PyTorch](https://github.com/deepjavalibrary/djl/workflows/Continous%20PyTorch/badge.svg)
+![Continuous Tensorflow](https://github.com/deepjavalibrary/djl/workflows/Continuous%20Tensorflow/badge.svg)
+![Docs](https://github.com/deepjavalibrary/djl/workflows/Docs/badge.svg)
+![Nightly Publish](https://github.com/deepjavalibrary/djl/workflows/Nightly%20Publish/badge.svg)
 
 # Deep Java Library (DJL)
 
@@ -87,15 +87,15 @@ The following pseudocode demonstrates running training:
 - [JavaDoc API Reference](https://javadoc.djl.ai/)
 
 ## Release Notes
-* [0.10.0](https://github.com/awslabs/djl/releases/tag/v0.10.0) ([Code](https://github.com/awslabs/djl/tree/v0.10.0))
-* [0.9.0](https://github.com/awslabs/djl/releases/tag/v0.9.0) ([Code](https://github.com/awslabs/djl/tree/v0.9.0))
-* [0.8.0](https://github.com/awslabs/djl/releases/tag/v0.8.0) ([Code](https://github.com/awslabs/djl/tree/v0.8.0))
-* [0.6.0](https://github.com/awslabs/djl/releases/tag/v0.6.0) ([Code](https://github.com/awslabs/djl/tree/v0.6.0))
-* [0.5.0](https://github.com/awslabs/djl/releases/tag/v0.5.0) ([Code](https://github.com/awslabs/djl/tree/v0.5.0))
-* [0.4.0](https://github.com/awslabs/djl/releases/tag/v0.4.0) ([Code](https://github.com/awslabs/djl/tree/v0.4.0))
-* [0.3.0](https://github.com/awslabs/djl/releases/tag/v0.3.0) ([Code](https://github.com/awslabs/djl/tree/v0.3.0))
-* [0.2.1](https://github.com/awslabs/djl/releases/tag/v0.2.1) ([Code](https://github.com/awslabs/djl/tree/v0.2.1))
-* [0.2.0 Initial release](https://github.com/awslabs/djl/releases/tag/v0.2.0) ([Code](https://github.com/awslabs/djl/tree/v0.2.0))
+* [0.10.0](https://github.com/deepjavalibrary/djl/releases/tag/v0.10.0) ([Code](https://github.com/deepjavalibrary/djl/tree/v0.10.0))
+* [0.9.0](https://github.com/deepjavalibrary/djl/releases/tag/v0.9.0) ([Code](https://github.com/deepjavalibrary/djl/tree/v0.9.0))
+* [0.8.0](https://github.com/deepjavalibrary/djl/releases/tag/v0.8.0) ([Code](https://github.com/deepjavalibrary/djl/tree/v0.8.0))
+* [0.6.0](https://github.com/deepjavalibrary/djl/releases/tag/v0.6.0) ([Code](https://github.com/deepjavalibrary/djl/tree/v0.6.0))
+* [0.5.0](https://github.com/deepjavalibrary/djl/releases/tag/v0.5.0) ([Code](https://github.com/deepjavalibrary/djl/tree/v0.5.0))
+* [0.4.0](https://github.com/deepjavalibrary/djl/releases/tag/v0.4.0) ([Code](https://github.com/deepjavalibrary/djl/tree/v0.4.0))
+* [0.3.0](https://github.com/deepjavalibrary/djl/releases/tag/v0.3.0) ([Code](https://github.com/deepjavalibrary/djl/tree/v0.3.0))
+* [0.2.1](https://github.com/deepjavalibrary/djl/releases/tag/v0.2.1) ([Code](https://github.com/deepjavalibrary/djl/tree/v0.2.1))
+* [0.2.0 Initial release](https://github.com/deepjavalibrary/djl/releases/tag/v0.2.0) ([Code](https://github.com/deepjavalibrary/djl/tree/v0.2.0))
 
 ## Building From Source
 

android/core/build.gradle

@@ -60,9 +60,9 @@ afterEvaluate {
                     }
 
                     scm {
-                        connection = "scm:git:[email protected]:awslabs/djl.git"
-                        developerConnection = "scm:git:[email protected]:awslabs/djl.git"
-                        url = "https://github.com/awslabs/djl"
+                        connection = "scm:git:[email protected]:deepjavalibrary/djl.git"
+                        developerConnection = "scm:git:[email protected]:deepjavalibrary/djl.git"
+                        url = "https://github.com/deepjavalibrary/djl"
                         tag = "HEAD"
                     }
 

android/core/src/androidTest/java/ai/djl/android/core/BitmapWrapperTest.java

@@ -61,7 +61,7 @@ public void useAppContext() {
     public void testImageToNDArray() throws IOException {
         try (NDManager manager = NDManager.newBaseManager()) {
             ImageFactory factory = ImageFactory.getInstance();
-            Image img = factory.fromUrl("https://github.com/awslabs/djl/raw/master/examples/src/test/resources/dog_bike_car.jpg");
+            Image img = factory.fromUrl("https://github.com/deepjavalibrary/djl/raw/master/examples/src/test/resources/dog_bike_car.jpg");
             NDArray array = img.toNDArray(manager);
             assertEquals(new Shape(img.getHeight(), img.getWidth(), 3), array.getShape());
         }
@@ -71,7 +71,7 @@ public void testImageToNDArray() throws IOException {
     public void testImageGetSubImage() throws IOException {
         try (NDManager manager = NDManager.newBaseManager()) {
             ImageFactory factory = ImageFactory.getInstance();
-            Image img = factory.fromUrl("https://github.com/awslabs/djl/raw/master/examples/src/test/resources/dog_bike_car.jpg");
+            Image img = factory.fromUrl("https://github.com/deepjavalibrary/djl/raw/master/examples/src/test/resources/dog_bike_car.jpg");
             NDArray array = img.toNDArray(manager);
             Image subImg = img.getSubimage(10, 20, 30, 40);
             NDArray subArray = subImg.toNDArray(manager);
@@ -83,7 +83,7 @@ public void testImageGetSubImage() throws IOException {
     public void testImageDuplicate() throws IOException {
         try (NDManager manager = NDManager.newBaseManager()) {
             ImageFactory factory = ImageFactory.getInstance();
-            Image img = factory.fromUrl("https://github.com/awslabs/djl/raw/master/examples/src/test/resources/dog_bike_car.jpg");
+            Image img = factory.fromUrl("https://github.com/deepjavalibrary/djl/raw/master/examples/src/test/resources/dog_bike_car.jpg");
             NDArray array = img.toNDArray(manager);
             NDArray duplicate = img.duplicate(Image.Type.TYPE_INT_ARGB).toNDArray(manager);
             assertEquals(array, duplicate);

android/pytorch-native/build.gradle

@@ -59,9 +59,9 @@ afterEvaluate {
                     }
 
                     scm {
-                        connection = "scm:git:[email protected]:awslabs/djl.git"
-                        developerConnection = "scm:git:[email protected]:awslabs/djl.git"
-                        url = "https://github.com/awslabs/djl"
+                        connection = "scm:git:[email protected]:deepjavalibrary/djl.git"
+                        developerConnection = "scm:git:[email protected]:deepjavalibrary/djl.git"
+                        url = "https://github.com/deepjavalibrary/djl"
                         tag = "HEAD"
                     }
 

api/src/main/java/ai/djl/engine/Engine.java

@@ -112,7 +112,7 @@ public static Engine getInstance() {
             throw new EngineException(
                     "No deep learning engine found."
                             + System.lineSeparator()
-                            + "Please refer to https://github.com/awslabs/djl/blob/master/docs/development/troubleshooting.md for more details.");
+                            + "Please refer to https://github.com/deepjavalibrary/djl/blob/master/docs/development/troubleshooting.md for more details.");
         }
         return getEngine(System.getProperty("ai.djl.default_engine", DEFAULT_ENGINE));
     }

api/src/main/java/ai/djl/inference/Predictor.java

@@ -54,13 +54,13 @@
  *
  * <ul>
  *   <li><a
- *       href="https://github.com/awslabs/djl/blob/master/jupyter/tutorial/03_image_classification_with_your_model.ipynb">Inference
+ *       href="https://github.com/deepjavalibrary/djl/blob/master/jupyter/tutorial/03_image_classification_with_your_model.ipynb">Inference
  *       with a custom trained model</a>
  *   <li><a
- *       href="https://github.com/awslabs/djl/blob/master/jupyter/object_detection_with_model_zoo.ipynb">Inference
+ *       href="https://github.com/deepjavalibrary/djl/blob/master/jupyter/object_detection_with_model_zoo.ipynb">Inference
  *       with a model zoo model</a>
  *   <li><a
- *       href="https://github.com/awslabs/djl/blob/master/jupyter/load_mxnet_model.ipynb">Inference
+ *       href="https://github.com/deepjavalibrary/djl/blob/master/jupyter/load_mxnet_model.ipynb">Inference
  *       with an MXNet model</a>
  * </ul>
  *
@@ -71,7 +71,7 @@
  * @see <a href="http://docs.djl.ai/docs/development/memory_management.html">The guide on memory
  *     management</a>
  * @see <a
- *     href="https://github.com/awslabs/djl/blob/master/examples/docs/multithread_inference.md">The
+ *     href="https://github.com/deepjavalibrary/djl/blob/master/examples/docs/multithread_inference.md">The
  *     guide on running multi-threaded inference</a>
  * @see <a href="http://docs.djl.ai/docs/development/inference_performance_optimization.html">The
  *     guide on inference performance optimization</a>

api/src/main/java/ai/djl/metric/Metrics.java

@@ -36,7 +36,7 @@
  * latencies, CPU and GPU memory consumption, losses, etc.
  *
  * <p>For more details about using the metrics, see the <a
- * href="https://github.com/awslabs/djl/blob/master/docs/how_to_collect_metrics.md">metrics
+ * href="https://github.com/deepjavalibrary/djl/blob/master/docs/how_to_collect_metrics.md">metrics
  * tutorial</a>.
  */
 public class Metrics {

api/src/main/java/ai/djl/ndarray/NDArray.java

@@ -37,7 +37,7 @@
  * multidimensional, fixed-size homogeneous array. It has very similar behaviour to the Numpy python
  * package with the addition of efficient computing. To understand how to manage NDArray lifecycle,
  * please refer to <a
- * href="https://github.com/awslabs/djl/blob/master/docs/development/memory_management.md">NDArray
+ * href="https://github.com/deepjavalibrary/djl/blob/master/docs/development/memory_management.md">NDArray
  * Memory Management Guide</a>
  */
 public interface NDArray extends NDResource {

api/src/main/java/ai/djl/ndarray/NDManager.java

@@ -96,7 +96,7 @@
  * @see Translator
  * @see TranslatorContext#getNDManager()
  * @see <a
- *     href="https://github.com/awslabs/djl/blob/master/docs/development/memory_management.md">NDArray
+ *     href="https://github.com/deepjavalibrary/djl/blob/master/docs/development/memory_management.md">NDArray
  *     Memory Management Guide</a>
  */
 public interface NDManager extends AutoCloseable {

api/src/main/java/ai/djl/nn/Block.java

@@ -100,7 +100,7 @@
  * fully-trained model.
  *
  * @see <a
- *     href="https://github.com/awslabs/djl/blob/master/jupyter/tutorial/01_create_your_first_network.ipynb">this
+ *     href="https://github.com/deepjavalibrary/djl/blob/master/jupyter/tutorial/01_create_your_first_network.ipynb">this
  *     tutorial on creating your first network</a>
  * @see <a href="https://d2l.djl.ai/chapter_deep-learning-computation/model-construction.html">The
  *     D2L chapter on blocks</a> and <a

api/src/main/java/ai/djl/training/Trainer.java

@@ -49,13 +49,13 @@
  *
  * <ul>
  *   <li><a
- *       href="https://github.com/awslabs/djl/blob/master/jupyter/tutorial/02_train_your_first_model.ipynb">Training
+ *       href="https://github.com/deepjavalibrary/djl/blob/master/jupyter/tutorial/02_train_your_first_model.ipynb">Training
  *       your first model</a>
  *   <li><a
- *       href="https://github.com/awslabs/djl/blob/master/jupyter/transfer_learning_on_cifar10.ipynb">Training
+ *       href="https://github.com/deepjavalibrary/djl/blob/master/jupyter/transfer_learning_on_cifar10.ipynb">Training
  *       using transfer learning</a>
  *   <li><a
- *       href="https://github.com/awslabs/djl/blob/master/jupyter/load_mxnet_model.ipynb">Inference
+ *       href="https://github.com/deepjavalibrary/djl/blob/master/jupyter/load_mxnet_model.ipynb">Inference
  *       with an MXNet model</a>
  * </ul>
  *

api/src/main/java/ai/djl/training/loss/SimpleCompositeLoss.java

@@ -26,7 +26,7 @@
  * AbstractCompositeLoss}.
  *
  * <p>For an example of using this loss, see <a
- * href="https://github.com/awslabs/djl/blob/master/examples/src/main/java/ai/djl/examples/training/TrainCaptcha.java">the
+ * href="https://github.com/deepjavalibrary/djl/blob/master/examples/src/main/java/ai/djl/examples/training/TrainCaptcha.java">the
  * captcha training example.</a>
  */
 public class SimpleCompositeLoss extends AbstractCompositeLoss {

api/src/main/javadoc/overview.html

@@ -41,7 +41,7 @@
     }
 </pre>
 
-<p>More tutorials, documents, and examples can be on our <a href="https://github.com/awslabs/djl/tree/master/docs">GitHub repository</a>.
+<p>More tutorials, documents, and examples can be on our <a href="https://github.com/deepjavalibrary/djl/tree/master/docs">GitHub repository</a>.
 
 </body>
 </html>

basicdataset/src/main/javadoc/overview.html

@@ -7,7 +7,7 @@
 
 <p>
   The basic datasets module contains a number of built-in datasets that can be used for deep learning.
-  See <a href="https://github.com/awslabs/djl/tree/master/basicdataset">here</a> for more details.
+  See <a href="https://github.com/deepjavalibrary/djl/tree/master/basicdataset">here</a> for more details.
 </p>
 
 </body>

bom/build.gradle

@@ -73,9 +73,9 @@ publishing {
                 }
 
                 scm {
-                    connection = "scm:git:[email protected]:awslabs/djl.git"
-                    developerConnection = "scm:git:[email protected]:awslabs/djl.git"
-                    url = "https://github.com/awslabs/djl"
+                    connection = "scm:git:[email protected]:deepjavalibrary/djl.git"
+                    developerConnection = "scm:git:[email protected]:deepjavalibrary/djl.git"
+                    url = "https://github.com/deepjavalibrary/djl"
                     tag = "HEAD"
                 }
 

djl-zero/src/main/javadoc/overview.html

@@ -7,7 +7,7 @@
 
 <p>
   The zero module contains a zero deep learning knowledge required wrapper over DJL.
-  See <a href="https://github.com/awslabs/djl/tree/master/djl-zero">here</a> for more details.
+  See <a href="https://github.com/deepjavalibrary/djl/tree/master/djl-zero">here</a> for more details.
 </p>
 
 </body>

dlr/dlr-engine/src/main/javadoc/overview.html

@@ -7,7 +7,7 @@
 
 <p>
   The DLR Engine module contains the DLR implementation of the DJL EngineProvider.
-  See <a href="https://github.com/awslabs/djl/tree/master/dlr/dlr-engine">here</a> for more details.
+  See <a href="https://github.com/deepjavalibrary/djl/tree/master/dlr/dlr-engine">here</a> for more details.
 </p>
 
 </body>