From b94967bae76196f28a86edc90b4bbe12618e2360 Mon Sep 17 00:00:00 2001
From: Sadik <sadik.armagan@arm.com>
Date: Wed, 19 Sep 2018 15:30:00 +0100
Subject: IVGCVSW-1650 Add Support for Reshape layer on TF Lite parser  * Added
 Reshape operator support for the TfLite Parser.

Change-Id: I64a5650dac089905a402be4a9cb6032aa0d81f00
---
 src/armnnTfLiteParser/test/Reshape.cpp | 141 +++++++++++++++++++++++++++++++++
 1 file changed, 141 insertions(+)
 create mode 100644 src/armnnTfLiteParser/test/Reshape.cpp

(limited to 'src/armnnTfLiteParser/test/Reshape.cpp')

diff --git a/src/armnnTfLiteParser/test/Reshape.cpp b/src/armnnTfLiteParser/test/Reshape.cpp
new file mode 100644
index 0000000000..ae5a09a711
--- /dev/null
+++ b/src/armnnTfLiteParser/test/Reshape.cpp
@@ -0,0 +1,141 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include <boost/test/unit_test.hpp>
+#include "ParserFlatbuffersFixture.hpp"
+#include "../TfLiteParser.hpp"
+
+#include <string>
+#include <iostream>
+
+BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
+
+struct ReshapeFixture : public ParserFlatbuffersFixture
+{
+    explicit ReshapeFixture(const std::string& inputShape,
+                            const std::string& outputShape,
+                            const std::string& newShape)
+    {
+        m_JsonString = R"(
+            {
+                "version": 3,
+                "operator_codes": [ { "builtin_code": "RESHAPE" } ],
+                "subgraphs": [ {
+                    "tensors": [
+                        {)";
+        m_JsonString += R"(
+                            "shape" : )" + inputShape + ",";
+        m_JsonString += R"(
+                            "type": "UINT8",
+                            "buffer": 0,
+                            "name": "inputTensor",
+                            "quantization": {
+                                "min": [ 0.0 ],
+                                "max": [ 255.0 ],
+                                "scale": [ 1.0 ],
+                                "zero_point": [ 0 ],
+                            }
+                        },
+                        {)";
+        m_JsonString += R"(
+                            "shape" : )" + outputShape;
+        m_JsonString += R"(,
+                            "type": "UINT8",
+                            "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 ],
+                            "builtin_options_type": "ReshapeOptions",
+                            "builtin_options": {)";
+        if (!newShape.empty())
+        {
+            m_JsonString += R"("new_shape" : )" + newShape;
+        }
+        m_JsonString += R"(},
+                            "custom_options_format": "FLEXBUFFERS"
+                        }
+                    ],
+                } ],
+                "buffers" : [ {}, {} ]
+            }
+        )";
+
+    }
+};
+
+struct ReshapeFixtureWithReshapeDims : ReshapeFixture
+{
+    ReshapeFixtureWithReshapeDims() : ReshapeFixture("[ 1, 9 ]", "[ 3, 3 ]", "[ 3, 3 ]") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(ParseReshapeWithReshapeDims, ReshapeFixtureWithReshapeDims)
+{
+    SetupSingleInputSingleOutput("inputTensor", "outputTensor");
+    RunTest<2, uint8_t>(0,
+                        { 1, 2, 3, 4, 5, 6, 7, 8, 9 },
+                        { 1, 2, 3, 4, 5, 6, 7, 8, 9 });
+    BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape()
+                == armnn::TensorShape({3,3})));
+}
+
+struct ReshapeFixtureWithReshapeDimsFlatten : ReshapeFixture
+{
+    ReshapeFixtureWithReshapeDimsFlatten() : ReshapeFixture("[ 3, 3 ]", "[ 1, 9 ]", "[ -1 ]") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(ParseReshapeWithReshapeDimsFlatten, ReshapeFixtureWithReshapeDimsFlatten)
+{
+    SetupSingleInputSingleOutput("inputTensor", "outputTensor");
+    RunTest<2, uint8_t>(0,
+                        { 1, 2, 3, 4, 5, 6, 7, 8, 9 },
+                        { 1, 2, 3, 4, 5, 6, 7, 8, 9 });
+    BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape()
+                == armnn::TensorShape({1,9})));
+}
+
+struct ReshapeFixtureWithReshapeDimsFlattenTwoDims : ReshapeFixture
+{
+    ReshapeFixtureWithReshapeDimsFlattenTwoDims() : ReshapeFixture("[ 3, 2, 3 ]", "[ 2, 9 ]", "[ 2, -1 ]") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(ParseReshapeWithReshapeDimsFlattenTwoDims, ReshapeFixtureWithReshapeDimsFlattenTwoDims)
+{
+    SetupSingleInputSingleOutput("inputTensor", "outputTensor");
+    RunTest<2, uint8_t>(0,
+                        { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 },
+                        { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 });
+    BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape()
+                == armnn::TensorShape({2,9})));
+}
+
+struct ReshapeFixtureWithReshapeDimsFlattenOneDim : ReshapeFixture
+{
+    ReshapeFixtureWithReshapeDimsFlattenOneDim() : ReshapeFixture("[ 2, 9 ]", "[ 2, 3, 3 ]", "[ 2, -1, 3 ]") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(ParseReshapeWithReshapeDimsFlattenOneDim, ReshapeFixtureWithReshapeDimsFlattenOneDim)
+{
+    SetupSingleInputSingleOutput("inputTensor", "outputTensor");
+    RunTest<3, uint8_t>(0,
+                        { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 },
+                        { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 });
+    BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape()
+                == armnn::TensorShape({2,3,3})));
+}
+
+BOOST_AUTO_TEST_SUITE_END()
-- 
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