diff --git a/ConversionUtils_1_3.hpp b/ConversionUtils_1_3.hpp
index a7f00fc..150735e 100644
--- a/ConversionUtils_1_3.hpp
+++ b/ConversionUtils_1_3.hpp
@@ -153,6 +153,79 @@
 template<typename HalPolicy,
          typename HalOperation = typename HalPolicy::Operation,
          typename HalModel     = typename HalPolicy::Model>
+bool ConvertLogicalBinary(const HalOperation& operation,
+                          const HalModel& model,
+                          ConversionData& data,
+                          LogicalBinaryOperation logicalOperation)
+{
+    using HalOperand = typename HalPolicy::Operand;
+
+    ALOGV("HalPolicy::ConvertLogicalBinary()");
+    ALOGV("logicalOperation = %s", GetLogicalBinaryOperationAsCString(logicalOperation));
+
+    LayerInputHandle input0 = ConvertToLayerInputHandle<HalPolicy>(operation, 0, model, data);
+    LayerInputHandle input1 = ConvertToLayerInputHandle<HalPolicy>(operation, 1, model, data);
+
+    if (!(input0.IsValid() && input1.IsValid()))
+    {
+        return Fail("%s: Operation has invalid inputs", __func__);
+    }
+
+    const HalOperand* output = GetOutputOperand<HalPolicy>(operation, 0, model);
+    if (!output)
+    {
+        return Fail("%s: Could not read output 0", __func__);
+    }
+
+    const TensorInfo& inputInfo0 = input0.GetTensorInfo();
+    const TensorInfo& inputInfo1 = input1.GetTensorInfo();
+    const TensorInfo& outputInfo = GetTensorInfoForOperand(*output);
+
+    LogicalBinaryDescriptor descriptor(logicalOperation);
+
+    bool isSupported = false;
+
+    auto validateFunc = [&](const armnn::TensorInfo& outputInfo, bool& isSupported)
+    {
+        FORWARD_LAYER_SUPPORT_FUNC(__func__,
+                                   IsLogicalBinarySupported,
+                                   data.m_Backends,
+                                   isSupported,
+                                   inputInfo0,
+                                   inputInfo1,
+                                   outputInfo,
+                                   descriptor);
+    };
+
+    if(!IsDynamicTensor(outputInfo))
+    {
+        validateFunc(outputInfo, isSupported);
+    }
+    else
+    {
+        isSupported = AreDynamicTensorsSupported();
+    }
+
+    if (!isSupported)
+    {
+        return false;
+    }
+
+    IConnectableLayer* layer = data.m_Network->AddLogicalBinaryLayer(descriptor);
+    assert(layer != nullptr);
+
+    bool isReshapeSupported = BroadcastTensor(input0, input1, layer, data);
+    if (!isReshapeSupported)
+    {
+        return false;
+    }
+
+    return SetupAndTrackLayerOutputSlot<HalPolicy>(operation, 0, *layer, model, data, nullptr, validateFunc);
+}
+
+template<typename HalPolicy,
+         typename HalOperation = typename HalPolicy::Operation,
+         typename HalModel     = typename HalPolicy::Model>
 bool ConvertQuantizedLstm(const HalOperation& operation, const HalModel& model, ConversionData& data)
 {
     using HalOperand     = typename HalPolicy::Operand;