@@ -1835,7 +1835,6 @@ public <T extends TNumber> Selu<T> selu(Operand<T> features) {
18351835 *
18361836 * <p>
18371837 *
1838- * @param scope The TensorFlow scope
18391838 * @param labels the labels
18401839 * @param logits the logits of type float32 or float64
18411840 * @param <T> the type of labels and logits
@@ -1897,7 +1896,6 @@ public <T extends TNumber> Softmax<T> softmax(Operand<T> logits) {
18971896 * disallow backpropagation into <code>labels</code>, pass label tensors through <code>
18981897 * tf.stopGradient</code> before feeding it to this function.
18991898 *
1900- * @param scope current scope
19011899 * @param labels Each vector along the class dimension should hold a valid probability
19021900 * distribution e.g. for the case in which labels are of shape <code>[batch_size, num_classes]
19031901 * </code>, each row of <code>labels[i]</code> must be a valid probability distribution.
@@ -2125,7 +2123,6 @@ public <T extends TType> SpaceToDepth<T> spaceToDepth(Operand<T> input, Long blo
21252123 * , or <code>TFloat64</code>, and <code>labels</code> must have the dtype of <code>TInt32</code>
21262124 * or <code>TInt64</code>.
21272125 *
2128- * @param scope current scope
21292126 * @param labels <code>Tensor</code> of shape <code>[d_0, d_1, ..., d_{r-1}]</code> (where <code>r
21302127 * </code> is rank of <code>labels</code> and result) and the dataType is <code>TInt32</code>
21312128 * or <code>TInt64</code>. Each entry in <code>labels</code> must be an index in <code>[0,
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