Adding requirements.txt for doc generation and a few small Javadoc fixes.

Author: Craigacp

docs/tools/requirements.txt

@@ -0,0 +1,3 @@
+GitPython
+requests
+tensorflow-docs

tensorflow-core/tensorflow-core-api/src/main/java/org/tensorflow/internal/buffer/ByteSequenceTensorBuffer.java

@@ -40,10 +40,9 @@
  * <p>The values are stored as an array of {@link TF_TString}, internally wrapped with {@code
  * tensorflow::tstring}, which is essentially a portable version of {@code std::string}.
  *
- * <p>The data of the buffer must be initialized only once, by calling {@link #init(NdArray,
- * Function)}, and the buffer must have been allocated with enough space (use {@link
- * #computeSize(NdArray, Function)} priory to know exactly how many bytes are required to store the
- * data).
+ * <p>The data of the buffer must be initialized only once, by calling {@link #init}, and the buffer
+ * must have been allocated with enough space (use {@link #computeSize} priory to know exactly how
+ * many bytes are required to store the data).
  *
  * <p>After its data has been initialized, the buffer is read-only as it is not possible to change
  * safely a value without reinitializing the whole data.
@@ -66,7 +65,7 @@ public static <T> long computeSize(ByteSequenceProvider<?> byteSequenceProvider)
    *
    * <p>While it is not enforced programmatically, it is mandatory that this method is called only
    * once after the creation of the buffer. The buffer must have been allocated according to the
-   * same set of data, calling {@link #computeSize(NdArray, Function)} priory to make sure there is
+   * same set of data, calling {@link #computeSize} priory to make sure there is
    * enough space to store it.
    *
    * @param byteSequenceProvider produces sequences of bytes to use as the tensor data

tensorflow-core/tensorflow-core-api/src/main/java/org/tensorflow/internal/types/TUint16Mapper.java

@@ -29,7 +29,7 @@
 import org.tensorflow.types.TUint16;
 
 /**
- * Maps memory of {@link org.tensorflow.proto.DataType#DT_Uint16} tensors to a n-dimensional data
+ * Maps memory of {@link org.tensorflow.proto.DataType#DT_UINT16} tensors to a n-dimensional data
  * space.
  */
 public final class TUint16Mapper extends TensorMapper<TUint16> {

tensorflow-framework/src/main/java/org/tensorflow/framework/losses/impl/LossesHelper.java

@@ -299,7 +299,6 @@ private static <T extends TNumber> Operand<T> reduceWeightedLoss(
    *
    * @param tf the TensorFlow Ops
    * @param losses <code>Operand</code> whose elements contain individual loss measurements.
-   * @param numElements The number of measurable elements in <code>losses</code>.
    * @param <T> the data type of the losses
    * @return A scalar representing the mean of <code>losses</code>. If <code>numElements</code> is
    *     zero, then zero is returned.