From 83fcf988cc1d5c9254a19258d6d67362c04bbaf4 Mon Sep 17 00:00:00 2001
From: Darshan Patel <darsh.jp@gmail.com>
Date: Tue, 26 May 2020 22:22:42 +0530
Subject: Add NEG support to TFLite parser

* Added unit tests
* Updated Documentation

Signed-off-by: Darshan Patel <darsh.jp@gmail.com>
Change-Id: Id22ffebe60732a93798f72801eb8a2a23cdd7ec0
---
 src/armnnTfLiteParser/test/Neg.cpp | 85 ++++++++++++++++++++++++++++++++++++++
 1 file changed, 85 insertions(+)
 create mode 100644 src/armnnTfLiteParser/test/Neg.cpp

(limited to 'src/armnnTfLiteParser/test')

diff --git a/src/armnnTfLiteParser/test/Neg.cpp b/src/armnnTfLiteParser/test/Neg.cpp
new file mode 100644
index 0000000000..39e1f9e82c
--- /dev/null
+++ b/src/armnnTfLiteParser/test/Neg.cpp
@@ -0,0 +1,85 @@
+//
+// Copyright © 2020 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include <boost/test/unit_test.hpp>
+#include "ParserFlatbuffersFixture.hpp"
+#include "../TfLiteParser.hpp"
+
+#include <string>
+
+BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
+
+struct NegFixture : public ParserFlatbuffersFixture
+{
+    explicit NegFixture(const std::string & inputShape,
+                        const std::string & outputShape)
+    {
+        m_JsonString = R"(
+            {
+                "version": 3,
+                "operator_codes": [ { "builtin_code": "NEG" } ],
+                "subgraphs": [ {
+                    "tensors": [
+                        {
+                            "shape": )" + inputShape + R"(,
+                            "type": "FLOAT32",
+                            "buffer": 0,
+                            "name": "inputTensor",
+                            "quantization": {
+                                "min": [ 0.0 ],
+                                "max": [ 255.0 ],
+                                "scale": [ 1.0 ],
+                                "zero_point": [ 0 ],
+                            }
+                        },
+                        {
+                            "shape": )" + outputShape + R"( ,
+                            "type": "FLOAT32",
+                            "buffer": 1,
+                            "name": "outputTensor",
+                            "quantization": {
+                                "min": [ 0.0 ],
+                                "max": [ 255.0 ],
+                                "scale": [ 1.0 ],
+                                "zero_point": [ 0 ],
+                            }
+                        }
+                    ],
+                    "inputs": [ 0 ],
+                    "outputs": [ 1 ],
+                    "operators": [
+                        {
+                            "opcode_index": 0,
+                            "inputs": [ 0 ],
+                            "outputs": [ 1 ],
+                            "custom_options_format": "FLEXBUFFERS"
+                        }
+                    ],
+                } ],
+                "buffers" : [
+                    { },
+                    { }
+                ]
+            }
+        )";
+        Setup();
+    }
+};
+
+struct SimpleNegFixture : public NegFixture
+{
+    SimpleNegFixture() : NegFixture("[ 1, 2, 3, 1 ]", "[ 1, 2, 3, 1 ]") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(ParseNeg, SimpleNegFixture)
+{
+    using armnn::DataType;
+    RunTest<4, DataType::Float32>(0, {{ "inputTensor", { 0.0f, 1.0f, -2.0f,
+                                                         20.0855185f, -54.5980834f, 5.0f} }},
+                                     {{ "outputTensor",{ 0.0f, -1.0f, 2.0f,
+                                                         -20.0855185f, 54.5980834f, -5.0f} }});
+}
+
+BOOST_AUTO_TEST_SUITE_END()
-- 
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