diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DeConv3D.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DeConv3D.java
index 0a153422d..a9b9b8fa8 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DeConv3D.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/layers/convolution/DeConv3D.java
@@ -149,60 +149,53 @@ public class DeConv3D extends DynamicCustomOp {
 
     @Override
     public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String, AttrValue> attributesForNode, GraphDef graph) {
+        int sD, sH, sW, dD=1, dH=1, dW=1;
+
         val aStrides = nodeDef.getAttrOrThrow("strides");
-        val tfStrides = aStrides.getList().getIList();
-        int sD, sH, sW, kD, kH, kW;
+        List<Long> tfStrides = aStrides.getList().getIList();   //[mb,c,d,h,w] or [mb,d,h,w,c] depending on format. mb/c are always 1
 
-        val aPadding = nodeDef.getAttrOrDefault("padding", null);
-
-        val paddingMode = aPadding.getS().toStringUtf8();
-
-        val args = args();
-        INDArray arr = sameDiff.getVariable(args[1].name()).getArr();
-        if (arr == null) {
-            arr = TFGraphMapper.getNDArrayFromTensor(nodeDef);
-            val varForOp = initWith.getVariable(args[1].name());
-            if (arr != null)
-                initWith.associateArrayWithVariable(arr, varForOp);
+        List<Long> tfDilation = null;
+        if (attributesForNode.containsKey("dilations")) {
+            tfDilation = attributesForNode.get("dilations").getList().getIList();   //[mb,c,d,h,w] or [mb,d,h,w,c] depending on format. mb/c are always 1
         }
 
-        String dataFormat = "nhwc";
+        val aPadding = nodeDef.getAttrOrDefault("padding", null);
+        String paddingMode = aPadding.getS().toStringUtf8();
+
+        String dataFormat = "NDHWC";
         if (nodeDef.containsAttr("data_format")) {
             val attr = nodeDef.getAttrOrThrow("data_format");
             dataFormat = attr.getS().toStringUtf8().toLowerCase();
         }
 
-        if (dataFormat.equalsIgnoreCase(DeConv3DConfig.NCDHW)) {
+        if(dataFormat.equalsIgnoreCase("NCDHW")){
             sD = tfStrides.get(2).intValue();
             sH = tfStrides.get(3).intValue();
             sW = tfStrides.get(4).intValue();
-
-            kD = (int) arr.size(2);
-            kH = (int) arr.size(3);
-            kW = (int) arr.size(4);
+            if(tfDilation != null){
+                dD = tfDilation.get(2).intValue();
+                dH = tfDilation.get(3).intValue();
+                dW = tfDilation.get(4).intValue();
+            }
         } else {
             sD = tfStrides.get(1).intValue();
             sH = tfStrides.get(2).intValue();
             sW = tfStrides.get(3).intValue();
-
-            kD = (int) arr.size(0);
-            kH = (int) arr.size(1);
-            kW = (int) arr.size(2);
+            if(tfDilation != null){
+                dD = tfDilation.get(1).intValue();
+                dH = tfDilation.get(2).intValue();
+                dW = tfDilation.get(3).intValue();
+            }
         }
 
-
         boolean isSameMode = paddingMode.equalsIgnoreCase("SAME");
-        DeConv3DConfig conv2DConfig = DeConv3DConfig.builder()
-                .kD(kD)
-                .kH(kH)
-                .kW(kW)
-                .sD(sD)
-                .sH(sW)
-                .sW(sH)
+        this.config = DeConv3DConfig.builder()
+                .kD(-1).kH(-1).kW(-1)   //Infer from kernel
+                .sD(sD).sH(sW).sW(sH)
+                .dD(dD).dH(dH).dW(dW)
                 .isSameMode(isSameMode)
                 .dataFormat(dataFormat.equalsIgnoreCase(DeConv3DConfig.NCDHW) ? DeConv3DConfig.NCDHW : DeConv3DConfig.NDHWC)
                 .build();
-        this.config = conv2DConfig;
 
         addArgs();
     }
@@ -213,6 +206,10 @@ public class DeConv3D extends DynamicCustomOp {
         return "deconv3d";
     }
 
+    @Override
+    public String tensorflowName() {
+        return "Conv3DBackpropInputV2";
+    }
 
     @Override
     public List<SDVariable> doDiff(List<SDVariable> f1) {
diff --git a/nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/imports/TFGraphs/TFGraphTestAllSameDiff.java b/nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/imports/TFGraphs/TFGraphTestAllSameDiff.java
index fb420ac4b..4befa1b8c 100644
--- a/nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/imports/TFGraphs/TFGraphTestAllSameDiff.java
+++ b/nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/imports/TFGraphs/TFGraphTestAllSameDiff.java
@@ -97,7 +97,10 @@ public class TFGraphTestAllSameDiff {   //Note: Can't extend BaseNd4jTest here a
             "g_11",
 
             //2019/07/09 - Need "Multinomial" op - https://github.com/eclipse/deeplearning4j/issues/7913
-            "multinomial/.*"
+            "multinomial/.*",
+
+            //2019/11/02 AB - need deconv3d changes (for handling shape)
+            "conv3d_transpose.*"
     };
 
     @BeforeClass