1 files changed, 42 insertions, 0 deletions
diff --git a/arm_compute/graph/frontend/Layers.h b/arm_compute/graph/frontend/Layers.h
index 2dd8b31ccf..da664e0448 100644
--- a/arm_compute/graph/frontend/Layers.h
+++ b/arm_compute/graph/frontend/Layers.h
@@ -145,6 +145,48 @@ private:
     const QuantizationInfo _out_quant_info;
 };
 
+/** ArgMinMax Layer */
+class ArgMinMaxLayer final : public ILayer
+{
+public:
+    /** Construct an activation layer.
+     *
+     * @param[in] op             Reduction Operation: min or max
+     * @param[in] axis           Axis to perform reduction along
+     * @param[in] out_data_type  (Optional) Output tensor data type
+     * @param[in] out_quant_info (Optional) Output quantization info
+     */
+    ArgMinMaxLayer(ReductionOperation     op,
+                   unsigned int           axis,
+                   DataType               out_data_type  = DataType::UNKNOWN,
+                   const QuantizationInfo out_quant_info = QuantizationInfo())
+        : _op(op),
+          _axis(axis),
+          _out_data_type(out_data_type),
+          _out_quant_info(std::move(out_quant_info))
+    {
+    }
+
+    /** Create layer and add to the given stream.
+     *
+     * @param[in] s Stream to add layer to.
+     *
+     * @return ID of the created node.
+     */
+    NodeID create_layer(IStream &s) override
+    {
+        NodeParams  common_params = { name(), s.hints().target_hint };
+        NodeIdxPair input         = { s.tail_node(), 0 };
+        return GraphBuilder::add_arg_min_max_node(s.graph(), common_params, input, _op, _axis, _out_data_type, std::move(_out_quant_info));
+    }
+
+private:
+    ReductionOperation _op;
+    unsigned int       _axis;
+    DataType           _out_data_type;
+    QuantizationInfo   _out_quant_info;
+};
+
 /** Batchnormalization Layer */
 class BatchNormalizationLayer final : public ILayer
 {