1 files changed, 117 insertions, 0 deletions
diff --git a/src/armnnDeserializer/test/DeserializeRsqrt.cpp b/src/armnnDeserializer/test/DeserializeRsqrt.cpp
new file mode 100644
index 0000000000..4361e50485
--- /dev/null
+++ b/src/armnnDeserializer/test/DeserializeRsqrt.cpp
@@ -0,0 +1,117 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include <boost/test/unit_test.hpp>
+#include "ParserFlatbuffersSerializeFixture.hpp"
+#include "../Deserializer.hpp"
+
+#include <string>
+#include <iostream>
+
+BOOST_AUTO_TEST_SUITE(Deserializer)
+
+struct RsqrtFixture : public ParserFlatbuffersSerializeFixture
+{
+    explicit RsqrtFixture(const std::string & inputShape,
+                          const std::string & outputShape,
+                          const std::string & dataType)
+    {
+        m_JsonString = R"(
+        {
+                inputIds: [0],
+                outputIds: [2],
+                layers: [
+                {
+                    layer_type: "InputLayer",
+                    layer: {
+                          base: {
+                                layerBindingId: 0,
+                                base: {
+                                    index: 0,
+                                    layerName: "InputLayer",
+                                    layerType: "Input",
+                                    inputSlots: [{
+                                        index: 0,
+                                        connection: {sourceLayerIndex:0, outputSlotIndex:0 },
+                                    }],
+                                    outputSlots: [ {
+                                        index: 0,
+                                        tensorInfo: {
+                                            dimensions: )" + inputShape + R"(,
+                                            dataType: )" + dataType + R"(
+                                        },
+                                    }],
+                                 },}},
+                },
+                {
+                layer_type: "RsqrtLayer",
+                layer : {
+                        base: {
+                             index:1,
+                             layerName: "RsqrtLayer",
+                             layerType: "Rsqrt",
+                             inputSlots: [
+                                            {
+                                             index: 0,
+                                             connection: {sourceLayerIndex:0, outputSlotIndex:0 },
+                                            }
+                             ],
+                             outputSlots: [ {
+                                 index: 0,
+                                 tensorInfo: {
+                                     dimensions: )" + outputShape + R"(,
+                                     dataType: )" + dataType + R"(
+                                 },
+                             }],
+                            }},
+                },
+                {
+                layer_type: "OutputLayer",
+                layer: {
+                        base:{
+                              layerBindingId: 0,
+                              base: {
+                                    index: 2,
+                                    layerName: "OutputLayer",
+                                    layerType: "Output",
+                                    inputSlots: [{
+                                        index: 0,
+                                        connection: {sourceLayerIndex:1, outputSlotIndex:0 },
+                                    }],
+                                    outputSlots: [ {
+                                        index: 0,
+                                        tensorInfo: {
+                                            dimensions: )" + outputShape + R"(,
+                                            dataType: )" + dataType + R"(
+                                        },
+                                }],
+                            }}},
+                }]
+         }
+        )";
+        Setup();
+    }
+};
+
+
+struct Rsqrt2dFixture : RsqrtFixture
+{
+    Rsqrt2dFixture() : RsqrtFixture("[ 2, 2 ]",
+                                    "[ 2, 2 ]",
+                                    "Float32") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(Rsqrt2d, Rsqrt2dFixture)
+{
+  RunTest<2, armnn::DataType::Float32>(
+      0,
+      {{"InputLayer", { 1.0f,  4.0f,
+                        16.0f, 25.0f }}},
+      {{"OutputLayer",{ 1.0f,  0.5f,
+                        0.25f, 0.2f }}});
+}
+
+
+BOOST_AUTO_TEST_SUITE_END()