diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDBaseOps.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDBaseOps.java
index 8d2e9f624..f7d4a85bc 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDBaseOps.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/autodiff/samediff/ops/SDBaseOps.java
@@ -184,55 +184,7 @@ public abstract class SDBaseOps {
     public SDVariable argmin(SDVariable in, boolean keepDims, int... dimensions) {
         return argmin(null, in, keepDims, dimensions);
     }
-
-    /**
-     * Assign/copy op: out = x.assign(y). Supports broadcasting
-     *
-     * @param x Input variable x
-     * @param y Input variable y
-     * @return Output variable
-     */
-    public SDVariable assign(SDVariable x, SDVariable y) {
-        return assign(null, x, y);
-    }
-
-    /**
-     * Assign/copy op: out = x.assign(y). Supports broadcasting
-     *
-     * @param name Name of the output variable
-     * @param x    Input variable x
-     * @param y    Input variable y
-     * @return Output variable
-     */
-    public SDVariable assign(String name, SDVariable x, SDVariable y) {
-        SDVariable ret = f().assign(x, y);
-        return updateVariableNameAndReference(ret, name);
-    }
-
-    /**
-     * Return an array with equal shape to the input, but all elements set to 'value'
-     *
-     * @param in    Input variable
-     * @param value Value to set
-     * @return Output variable
-     */
-    public SDVariable assign(SDVariable in, Number value) {
-        return assign(null, in, value);
-    }
-
-    /**
-     * Return an array with equal shape to the input, but all elements set to 'value'
-     *
-     * @param name  Name of the output variable
-     * @param in    Input variable
-     * @param value Value to set
-     * @return Output variable
-     */
-    public SDVariable assign(String name, SDVariable in, Number value) {
-        SDVariable ret = f().assign(in, value);
-        return updateVariableNameAndReference(ret, name);
-    }
-
+    
     /**
      * Matrix multiply a batch of matrices. matricesA and matricesB have to be arrays of same
      * length and each pair taken from these sets has to have dimensions (M, N) and (N, K),
diff --git a/nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/autodiff/opvalidation/TransformOpValidation.java b/nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/autodiff/opvalidation/TransformOpValidation.java
index 415e76fd5..154201a35 100644
--- a/nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/autodiff/opvalidation/TransformOpValidation.java
+++ b/nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/autodiff/opvalidation/TransformOpValidation.java
@@ -939,9 +939,7 @@ public class TransformOpValidation extends BaseOpValidation {
                     tc.expectedOutput(t.name(), Transforms.min(ia, 0.5, true));
                     break;
                 case 65:
-                    t = sd.assign(in, 0.5);
-                    tc.expectedOutput(t.name(), ia.dup().assign(0.5));
-                    break;
+                    continue; // assign op was removed.
                 case 66:
                     t = sd.scalarFloorMod(in, 0.5);
                     tc.expectedOutput(t.name(), Nd4j.getExecutioner().exec(new ScalarFMod(ia.dup(), 0.5)));
@@ -1181,9 +1179,7 @@ public class TransformOpValidation extends BaseOpValidation {
                     tc.expectedOutput(t.name(), Transforms.xor(ia.castTo(DataType.BOOL), ib.castTo(DataType.BOOL))).gradientCheck(false);
                     break;
                 case 18:
-                    t = sd.assign(in1, in2);
-                    tc.expectedOutput(t.name(), ib);
-                    break;
+                    continue; //assign op was removed.
                 case 19:
                     t = sd.math().atan2(in1, in2);
                     tc.expectedOutput(t.name(), Transforms.atan2(ib, ia));    //Note: y,x order for samediff; x,y order for transforms