From fd33a698ee3c588aa4064b70b7781ab25ff76f66 Mon Sep 17 00:00:00 2001
From: Teresa Charlin <teresa.charlinreyes@arm.com>
Date: Wed, 29 Jun 2022 15:35:57 +0100
Subject: IVGCVSW-7040 Add support for LOG_SOFTMAX to the TFLiteParser

Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I1fedfdf2cd8871d6b307fce8620f40adadf75f04
---
 src/armnnTfLiteParser/test/LogSoftmax.cpp | 70 +++++++++++++++++++++++++++++++
 1 file changed, 70 insertions(+)
 create mode 100644 src/armnnTfLiteParser/test/LogSoftmax.cpp

(limited to 'src/armnnTfLiteParser/test')

diff --git a/src/armnnTfLiteParser/test/LogSoftmax.cpp b/src/armnnTfLiteParser/test/LogSoftmax.cpp
new file mode 100644
index 0000000000..7414bc30a0
--- /dev/null
+++ b/src/armnnTfLiteParser/test/LogSoftmax.cpp
@@ -0,0 +1,70 @@
+//
+// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ParserFlatbuffersFixture.hpp"
+
+
+TEST_SUITE("TensorflowLiteParser_LogSoftmax")
+{
+struct LogSoftmaxFixture : public ParserFlatbuffersFixture
+{
+    explicit LogSoftmaxFixture()
+    {
+        m_JsonString = R"(
+            {
+                "version": 3,
+                "operator_codes": [ { "builtin_code": "LOG_SOFTMAX" } ],
+                "subgraphs": [ {
+                    "tensors": [
+                        {
+                            "shape": [ 1, 7 ],
+                            "type": "UINT8",
+                            "buffer": 0,
+                            "name": "inputTensor",
+                            "quantization": {
+                                "min": [ 0.0 ],
+                                "max": [ 255.0 ],
+                                "scale": [ 1.0 ],
+                                "zero_point": [ 0 ],
+                            }
+                        },
+                        {
+                            "shape": [ 1, 7 ],
+                            "type": "UINT8",
+                            "buffer": 1,
+                            "name": "outputTensor",
+                            "quantization": {
+                                "min": [ 0.0 ],
+                                "max": [ 255.0 ],
+                                "scale": [ 0.00390625 ],
+                                "zero_point": [ 0 ],
+                            }
+                        }
+                    ],
+                    "inputs": [ 0 ],
+                    "outputs": [ 1 ],
+                    "operators": [
+                        {
+                          "opcode_index": 0,
+                          "inputs": [ 0 ],
+                          "outputs": [ 1 ],
+                          "builtin_options_type": "LogSoftmaxOptions",
+                          "custom_options_format": "FLEXBUFFERS"
+                        }
+                    ],
+                } ],
+                "buffers" : [ {}, {} ]
+            }
+        )";
+        SetupSingleInputSingleOutput("inputTensor", "outputTensor");
+    }
+};
+
+TEST_CASE_FIXTURE(LogSoftmaxFixture, "ParseLogSoftmaxLite")
+{
+    RunTest<2, armnn::DataType::QAsymmU8>(0, { 0, 0, 100, 0, 0, 0, 0 }, { 0, 0, 255, 0, 0, 0, 0 });
+}
+
+}
-- 
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