From bceff2fb3fc68bb0aa88b886900c34b77340c826 Mon Sep 17 00:00:00 2001
From: surmeh01 <surabhi.mehta@arm.com>
Date: Thu, 29 Mar 2018 16:29:27 +0100
Subject: Release 18.03

---
 src/armnnTfParser/test/PassThru.cpp | 52 +++++++++++++++++++++++++++++++++++++
 1 file changed, 52 insertions(+)
 create mode 100644 src/armnnTfParser/test/PassThru.cpp

(limited to 'src/armnnTfParser/test/PassThru.cpp')

diff --git a/src/armnnTfParser/test/PassThru.cpp b/src/armnnTfParser/test/PassThru.cpp
new file mode 100644
index 0000000000..8462ec27cc
--- /dev/null
+++ b/src/armnnTfParser/test/PassThru.cpp
@@ -0,0 +1,52 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+#include <boost/test/unit_test.hpp>
+#include "armnnTfParser/ITfParser.hpp"
+#include "ParserPrototxtFixture.hpp"
+
+BOOST_AUTO_TEST_SUITE(TensorflowParser)
+
+struct PassThruFixture : public ParserPrototxtFixture<armnnTfParser::ITfParser>
+{
+    PassThruFixture()
+    {
+        m_Prototext = "node {\n"
+            "  name: \"Placeholder\"\n"
+            "  op: \"Placeholder\"\n"
+            "  attr {\n"
+            "    key: \"dtype\"\n"
+            "    value {\n"
+            "      type: DT_FLOAT\n"
+            "    }\n"
+            "  }\n"
+            "  attr {\n"
+            "    key: \"shape\"\n"
+            "    value {\n"
+            "      shape {\n"
+            "      }\n"
+            "    }\n"
+            "  }\n"
+            "}\n";
+        SetupSingleInputSingleOutput({ 1, 7 }, "Placeholder", "Placeholder");
+    }
+};
+
+BOOST_FIXTURE_TEST_CASE(ValidateOutput, PassThruFixture)
+{
+    BOOST_TEST(m_Parser->GetNetworkOutputBindingInfo("Placeholder").second.GetNumDimensions() == 2);
+    BOOST_TEST(m_Parser->GetNetworkOutputBindingInfo("Placeholder").second.GetShape()[0] == 1);
+    BOOST_TEST(m_Parser->GetNetworkOutputBindingInfo("Placeholder").second.GetShape()[1] == 7);
+}
+
+BOOST_FIXTURE_TEST_CASE(RunGraph, PassThruFixture)
+{
+    armnn::TensorInfo inputTensorInfo = m_Parser->GetNetworkInputBindingInfo("Placeholder").second;
+    auto input = MakeRandomTensor<float, 2>(inputTensorInfo, 378346);
+    std::vector<float> inputVec;
+    inputVec.assign(input.data(), input.data() + input.num_elements());
+    RunTest<2>(inputVec, inputVec); // The passthru network should output the same as the input
+}
+
+BOOST_AUTO_TEST_SUITE_END()
-- 
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