Small fixes

Signed-off-by: AlexDBlack <[email protected]>

Author: AlexDBlack

nd4j-examples/src/main/java/org/nd4j/examples/ConcatVstackHstackPad.java

@@ -17,6 +17,7 @@
 package org.nd4j.examples;
 
 import org.nd4j.linalg.api.ndarray.INDArray;
+import org.nd4j.linalg.api.ops.impl.transforms.Pad;
 import org.nd4j.linalg.factory.Nd4j;
 
 /**
@@ -65,7 +66,7 @@ public static void main(String[] args) {
         System.out.println(combined2);
 
         //Padding
-        INDArray padded = Nd4j.pad(ones, new int[]{1,1}, Nd4j.PadMode.CONSTANT );
+        INDArray padded = Nd4j.pad(ones, new int[]{1,1}, Pad.Mode.CONSTANT, 0 );
         System.out.println("### Padded ####");
         System.out.println(padded);
 

nd4j-examples/src/main/java/org/nd4j/examples/numpy_cheatsheat/CustomOperations.java

@@ -16,15 +16,11 @@
 
 package org.nd4j.examples.numpy_cheatsheat;
 
-import com.google.common.base.Function;
 import org.nd4j.linalg.api.buffer.DataType;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
-import org.nd4j.linalg.indexing.BooleanIndexing;
 import org.nd4j.linalg.indexing.INDArrayIndex;
 import org.nd4j.linalg.indexing.NDArrayIndex;
-import org.nd4j.linalg.indexing.conditions.Condition;
-import org.nd4j.linalg.indexing.conditions.Conditions;
 import org.nd4j.linalg.ops.transforms.Transforms;
 import org.nd4j.linalg.util.ArrayUtil;
 

nd4j-examples/src/main/java/org/nd4j/samediff/Ex1_SameDiff_Basics.java

@@ -76,8 +76,8 @@ public static void main(String[] args) {
         You can think of functions as operations that map input variables (arrays) to new variables (arrays)
         Functions have 0 or more inputs (usually 1 or more) and 1 or more outputs
          */
-        DifferentialFunction[] functions = sd.functions();
-        for(DifferentialFunction df : functions){
+        DifferentialFunction[] ops = sd.ops();
+        for(DifferentialFunction df : ops){
             SDVariable[] inputsToFunction = df.args();      //Inputs are also known as "args" or "arguments" for a function
             SDVariable[] outputsOfFunction = df.outputVariables();
             System.out.println("Op: " + df.opName() + ", inputs: " + Arrays.toString(inputsToFunction) + ", outputs: " +