Revert "Revert "Bratseth/tensorflow models""

3 files changed, 7 insertions, 7 deletions

diff --git a/vespajlib/src/main/java/com/yahoo/tensor/serialization/BinaryFormat.java b/vespajlib/src/main/java/com/yahoo/tensor/serialization/BinaryFormat.java
index e8c425d49e0..416b28afa22 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/serialization/BinaryFormat.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/serialization/BinaryFormat.java
@@ -24,7 +24,7 @@ interface BinaryFormat {
 
     /**
      * Deserialize the given binary data into a Tensor object.
-     * 
+     *
      * @param type the expected abstract type of the tensor to serialize, or empty to use type information from the data
      * @param buffer the buffer containing the tensor binary data
      */
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/serialization/DenseBinaryFormat.java b/vespajlib/src/main/java/com/yahoo/tensor/serialization/DenseBinaryFormat.java
index 8b7325ec211..aabb53d1c67 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/serialization/DenseBinaryFormat.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/serialization/DenseBinaryFormat.java
@@ -16,9 +16,9 @@ import java.util.Optional;
  *
  * Sorted dimensions = num_dimensions [dimension_str_len dimension_str_bytes dimension_size_int]*
  * Cell_values = [double, double, double, ...]*
- * where values are encoded in order of increasing indexes in each dimension, increasing 
+ * where values are encoded in order of increasing indexes in each dimension, increasing
  * indexes of later dimensions in the dimension type before earlier.
- * 
+ *
  * @author bratseth
  */
 @Beta
@@ -54,7 +54,7 @@ public class DenseBinaryFormat implements BinaryFormat {
             type = optionalType.get();
             TensorType serializedType = decodeType(buffer);
             if ( ! serializedType.isAssignableTo(type))
-                throw new IllegalArgumentException("Type/instance mismatch: A tensor of type " + serializedType + 
+                throw new IllegalArgumentException("Type/instance mismatch: A tensor of type " + serializedType +
                                                    " cannot be assigned to type " + type);
             sizes = sizesFromType(serializedType);
         }
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/serialization/TypedBinaryFormat.java b/vespajlib/src/main/java/com/yahoo/tensor/serialization/TypedBinaryFormat.java
index 7467554790a..01a1d023f2b 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/serialization/TypedBinaryFormat.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/serialization/TypedBinaryFormat.java
@@ -46,9 +46,9 @@ public class TypedBinaryFormat {
         return result;
     }
 
-    /** 
-     * Decode some data to a tensor 
-     * 
+    /**
+     * Decode some data to a tensor
+     *
      * @param type the type to decode and validate to, or empty to use the type given in the data
      * @param buffer the buffer containing the data, use GrowableByteByffer.wrap(byte[]) if you have a byte array
      * @return the resulting tensor