1 files changed, 130 insertions, 0 deletions
diff --git a/src/armnnTfLiteParser/test/ScatterNd.cpp b/src/armnnTfLiteParser/test/ScatterNd.cpp
new file mode 100644
index 0000000000..fa283c1a4a
--- /dev/null
+++ b/src/armnnTfLiteParser/test/ScatterNd.cpp
@@ -0,0 +1,130 @@
+//
+// Copyright © 2024 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ParserFlatbuffersFixture.hpp"
+
+
+TEST_SUITE("TensorflowLiteParser_ScatterNd")
+{
+struct ScatterNdFixture : public ParserFlatbuffersFixture
+{
+    explicit ScatterNdFixture(const std::string& shapeShape,
+                              const std::string& outputShape,
+                              const std::string& dataType = "FLOAT32",
+                              const std::string& scale = "1.0",
+                              const std::string& offset = "0")
+    {
+        const std::string& indicesShape = "[ 3, 1 ]";
+        const std::string& updatesShape = "[ 3 ]";
+
+        m_JsonString = R"(
+            {
+                "version": 3,
+                "operator_codes": [ { "builtin_code": "SCATTER_ND" } ],
+                "subgraphs": [ {
+                    "tensors": [
+                        {
+                            "shape": )" + indicesShape + R"(,
+                            "type": "INT32",
+                            "buffer": 0,
+                            "name": "indices",
+                            "quantization": {
+                                "details_type": "NONE",
+                                "quantized_dimension": 0
+                              },
+                        },
+                        {
+                             "shape": )" + updatesShape + R"( ,
+                             "type": )" + dataType + R"(,
+                             "buffer": 1,
+                             "name": "updates",
+                            "quantization": {
+                                "min": [ 0.0 ],
+                                "max": [ 255.0 ],
+                                "scale": [ )" + scale + R"( ],
+                                "zero_point": [ )" + offset + R"( ],
+                            }
+                        },
+                        {
+                             "shape": )" + shapeShape + R"( ,
+                              "type": "INT32",
+                              "buffer": 2,
+                              "name": "shape",
+                              "quantization": {
+                                "details_type": "NONE",
+                                "quantized_dimension": 0
+                              },
+                              "is_variable": false,
+                              "has_rank": true
+                            },
+                        {
+                             "shape": )" + outputShape + R"(,
+                             "type": )" + dataType + R"(,
+                             "buffer": 3,
+                             "name": "outputTensor",
+                             "quantization": {
+                                "min": [ 0.0 ],
+                                "max": [ 255.0 ],
+                                "scale": [ )" + scale + R"( ],
+                                "zero_point": [ )" + offset + R"( ],
+                            }
+                        }
+                    ],
+                    "inputs": [ 0, 1, 2 ],
+                    "outputs": [ 3 ],
+                    "operators": [
+                        {
+                            "opcode_index": 0,
+                            "inputs": [ 0, 1, 2 ],
+                            "outputs": [ 3 ],
+                            "builtin_options_type": "ScatterNdOptions",
+                            "builtin_options": {},
+                            "custom_options_format": "FLEXBUFFERS"
+                        }
+                    ],
+                } ],
+                "buffers" : [
+                    { "data": [ 0, 1, 2 ],
+                      "offset": 0,
+                      "size": 0 },
+                    { "data": [ 1, 2, 3 ],
+                      "offset": 0,
+                      "size": 0 },
+                   { },
+                   { },
+                ]
+            }
+        )";
+        Setup();
+    }
+};
+
+struct SimpleScatterNdFixture : public ScatterNdFixture
+{
+    SimpleScatterNdFixture() : ScatterNdFixture("[ 1 ]", "[ 5 ]") {}
+};
+
+TEST_CASE_FIXTURE(SimpleScatterNdFixture, "ParseScatterNd")
+{
+    RunTest<2, armnn::DataType::Signed32, armnn::DataType::Float32>
+        (0,
+         {{ "shape", { 5 }}},
+         {{ "outputTensor", {1, 2, 3, 0, 0 }}});
+}
+
+struct ScatterNdUint8Fixture : public ScatterNdFixture
+{
+    ScatterNdUint8Fixture() : ScatterNdFixture("[ 2 ]", "[ 3, 3 ]", "UINT8") {}
+};
+
+TEST_CASE_FIXTURE(ScatterNdUint8Fixture, "ParseScatterNdUint8")
+{
+    RunTest<2, armnn::DataType::Signed32, armnn::DataType::QAsymmU8>
+        (0,
+         {{ "shape", { 3, 3 }}},
+         {{ "outputTensor", { 1, 0, 0, 0, 2, 0, 0, 0, 3 }}});
+}
+
+}