Fix doclint errors

karllessard · karllessard · commit cb5fa96aefff · 2020-10-08T09:53:17.000-04:00
diff --git a/ndarray/src/main/java/org/tensorflow/ndarray/Shape.java b/ndarray/src/main/java/org/tensorflow/ndarray/Shape.java
@@ -108,7 +108,7 @@ public long size() {
    * an unknown size, {@link Shape#UNKNOWN_SIZE} is returned.
    *
    * @param i the index of the dimension to get the size for. If this Shape has a known number of
-   *     dimensions, it must be < {@link Shape#numDimensions()}. The index may be negative, in which
+   *     dimensions, it must be &lt; {@link Shape#numDimensions()}. The index may be negative, in which
    *     case the position is counted from the end of the shape. E.g.: {@code size(-1)} returns the
    *     size of the last dimension, {@code size(-2)} the size of the second to last dimension etc.
    * @return The size of the dimension with the given index if known, {@link Shape#UNKNOWN_SIZE}
@@ -236,7 +236,7 @@ public Shape head() {
    * Returns an n-dimensional Shape with the dimensions matching the first n dimensions of this
    * shape
    *
-   * @param n the number of leading dimensions to get, must be <= than {@link Shape#numDimensions()}
+   * @param n the number of leading dimensions to get, must be &lt;= than {@link Shape#numDimensions()}
    * @return an n-dimensional Shape with the first n dimensions matching the first n dimensions of
    *     this Shape
    */
@@ -260,7 +260,7 @@ public Shape tail() {
    * Returns an n-dimensional Shape with the dimensions matching the last n dimensions of this
    * Shape.
    *
-   * @param n the number of trailing dimensions to get, must be <= than {@link
+   * @param n the number of trailing dimensions to get, must be &lt;= than {@link
    *     Shape#numDimensions()}
    * @return an n-dimensional shape with the dimensions matching the last n dimensions of this
    *     Shape, never null
@@ -326,7 +326,7 @@ public Shape prepend(Shape other) {
   /**
    * Returns a new Shape, with another Shapes' dimensions appended. For both this Shape and the
    * other Shape, {@link Shape#isUnknown()} must return false. E.g. @code
-   * Shape.of(3,4).append(Shape.of(1,2)) => Shape.of(3,4,1,2) }
+   * Shape.of(3,4).append(Shape.of(1,2)) =&gt; Shape.of(3,4,1,2) }
    *
    * @param other another Shape, must not be {@code null}, must not be unknown
    * @return A new Shape consisting of this Shape's dimensions followed by the given Shape's
diff --git a/pom.xml b/pom.xml
@@ -128,7 +128,8 @@
     <profile>
       <id>dev</id>
       <modules>
-        <module>tensorflow-keras</module>
+        <!-- Disabled while the library is still empty -->
+        <!--module>tensorflow-keras</module-->
       </modules>
     </profile>
     <!--
diff --git a/tensorflow-framework/src/main/java/org/tensorflow/framework/initializers/LeCun.java b/tensorflow-framework/src/main/java/org/tensorflow/framework/initializers/LeCun.java
@@ -60,8 +60,7 @@
  *
  * <p><b>NOTE:</b> *
  *
- * <p>For a LeCunNormal equivalent initializer, use {@link *
- * VarianceScaling.Distribution#TRUNCATED_NORMAL} for the distribution parameter. *
+ * <p>For a LeCunNormal equivalent initializer, use {@link VarianceScaling.Distribution#TRUNCATED_NORMAL} for the distribution parameter. *
  *
  * <p>For a LeCunUniform equivalent initializer, use {@link VarianceScaling.Distribution#UNIFORM} *
  * for the distribution parameter. *

Original file line number	Diff line number	Diff line change
`@@ -60,8 +60,7 @@`
`60`	`60`	`*`
`61`	`61`	`* <p><b>NOTE:</b> *`
`62`	`62`	`*`
`63`		`- * <p>For a LeCunNormal equivalent initializer, use {@link *`
`64`		`- * VarianceScaling.Distribution#TRUNCATED_NORMAL} for the distribution parameter. *`
	`63`	`+ * <p>For a LeCunNormal equivalent initializer, use {@link VarianceScaling.Distribution#TRUNCATED_NORMAL} for the distribution parameter. *`
`65`	`64`	`*`
`66`	`65`	`* <p>For a LeCunUniform equivalent initializer, use {@link VarianceScaling.Distribution#UNIFORM} *`
`67`	`66`	`* for the distribution parameter. *`