diff --git a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/Keras2ModelConfigurationTest.java b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/Keras2ModelConfigurationTest.java
index d776ed63e..cb3c40a1e 100644
--- a/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/Keras2ModelConfigurationTest.java
+++ b/deeplearning4j/deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/configurations/Keras2ModelConfigurationTest.java
@@ -27,6 +27,7 @@ import org.deeplearning4j.nn.modelimport.keras.KerasModel;
 import org.deeplearning4j.nn.modelimport.keras.KerasModelImport;
 import org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasSpaceToDepth;
 import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
+import org.junit.Ignore;
 import org.junit.Test;
 import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
@@ -255,10 +256,8 @@ public class Keras2ModelConfigurationTest extends BaseDL4JTest {
         }
     }
 
-    @Test
+    @Test @Ignore("AB 2019/11/23 - known issue - see https://github.com/eclipse/deeplearning4j/issues/8373 and https://github.com/eclipse/deeplearning4j/issues/8441")
     public void ReshapeEmbeddingConcatTest() throws Exception{
-        //TODO AB 2019/11/23 - known issue - see https://github.com/eclipse/deeplearning4j/issues/8373 and https://github.com/eclipse/deeplearning4j/issues/8441
-
         try(InputStream is = Resources.asStream("/modelimport/keras/configs/keras2/reshape_embedding_concat.json")) {
             ComputationGraphConfiguration config =
                     new KerasModel().modelBuilder().modelJsonInputStream(is)
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/ops/executioner/CudaExecutioner.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/ops/executioner/CudaExecutioner.java
index 16568fbf4..b99601732 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/ops/executioner/CudaExecutioner.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/ops/executioner/CudaExecutioner.java
@@ -1293,6 +1293,19 @@ public class CudaExecutioner extends DefaultOpExecutioner {
 
 //        validateDataType(Nd4j.dataType(), op);
 
+        if(op.z() == null){
+            switch (op.getOpType()) {
+                case SCALAR:
+                    op.setZ(op.x().ulike());
+                    break;
+                case SCALAR_BOOL:
+                    op.setZ(Nd4j.createUninitialized(DataType.BOOL, op.x().shape()));
+                    break;
+                default:
+                    throw new ND4JIllegalStateException("Unknown op type: [" + op.getOpType() +"]");
+            }
+        }
+
         if (op.x().length() != op.z().length())
             throw new ND4JIllegalStateException("op.X length should be equal to op.Y length: ["
                     + Arrays.toString(op.x().shapeInfoDataBuffer().asInt()) + "] != ["
@@ -2280,7 +2293,7 @@ public class CudaExecutioner extends DefaultOpExecutioner {
                     op.addOutputArgument(Nd4j.create(shape));
 
             } catch (Exception e) {
-                throw new ND4JIllegalStateException("Op name " + op.opName() + " failed to execute. You can't execute non-inplace CustomOp without outputs being specified");
+                throw new ND4JIllegalStateException("Op name " + op.opName() + " - no output arrays were provided and calculateOutputShape failed to execute", e);
             }
         }
 
diff --git a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/ops/NativeOpExecutioner.java b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/ops/NativeOpExecutioner.java
index d12efba59..3ec9d34d7 100644
--- a/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/ops/NativeOpExecutioner.java
+++ b/nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/linalg/cpu/nativecpu/ops/NativeOpExecutioner.java
@@ -670,6 +670,19 @@ public class NativeOpExecutioner extends DefaultOpExecutioner {
 
         //validateDataType(Nd4j.dataType(), op);
 
+        if(op.z() == null){
+            switch (op.getOpType()) {
+                case SCALAR:
+                    op.setZ(op.x().ulike());
+                    break;
+                case SCALAR_BOOL:
+                    op.setZ(Nd4j.createUninitialized(DataType.BOOL, op.x().shape()));
+                    break;
+                default:
+                    throw new ND4JIllegalStateException("Unknown op type: [" + op.getOpType() +"]");
+            }
+        }
+
         if (op.x().length() != op.z().length())
             throw new ND4JIllegalStateException("op.X length should be equal to op.Z length: " +
                     "x.length()=" + op.x().length() + ", z.length()=" + op.z().length() + " - x shape info = ["
@@ -1689,7 +1702,7 @@ public class NativeOpExecutioner extends DefaultOpExecutioner {
             } catch (ND4JIllegalStateException e){
                 throw e;
             } catch (Exception e) {
-                throw new ND4JIllegalStateException("Op name " + op.opName() + " failed to execute. You can't execute non-inplace CustomOp without outputs being specified");
+                throw new ND4JIllegalStateException("Op name " + op.opName() + " - no output arrays were provided and calculateOutputShape failed to execute", e);
             }
         }
 
diff --git a/nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/linalg/Nd4jTestsC.java b/nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/linalg/Nd4jTestsC.java
index 68551e53d..66c68e3c4 100644
--- a/nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/linalg/Nd4jTestsC.java
+++ b/nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/linalg/Nd4jTestsC.java
@@ -66,6 +66,7 @@ import org.nd4j.linalg.api.ops.impl.reduce.same.Sum;
 import org.nd4j.linalg.api.ops.impl.reduce3.*;
 import org.nd4j.linalg.api.ops.impl.scalar.LeakyReLU;
 import org.nd4j.linalg.api.ops.impl.scalar.ReplaceNans;
+import org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals;
 import org.nd4j.linalg.api.ops.impl.scatter.ScatterUpdate;
 import org.nd4j.linalg.api.ops.impl.transforms.any.IsMax;
 import org.nd4j.linalg.api.ops.impl.transforms.bool.MatchConditionTransform;
@@ -8164,6 +8165,13 @@ public class Nd4jTestsC extends BaseNd4jTest {
         assertEquals(e, z);
     }
 
+    @Test
+    public void testScalarEqualsNoResult(){
+        INDArray out = Nd4j.exec(new ScalarEquals(Nd4j.createFromArray(-2, -1, 0, 1, 2), null, 0));
+        INDArray exp = Nd4j.createFromArray(false, false, true, false, false);
+        assertEquals(exp, out);
+    }
+
     @Override
     public char ordering() {
         return 'c';