From 66dedc700b2e2723f7c18f171739432fa92f0a33 Mon Sep 17 00:00:00 2001
From: Sadik Armagan <sadik.armagan@arm.com>
Date: Tue, 10 Dec 2019 16:32:07 +0000
Subject: IVGCVSW-4193 Add QUANTIZE to the TfLite parser

Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I53431c70edb64c9283ae556407cc07e54469d8cc
---
 src/armnnTfLiteParser/test/Quantize.cpp | 121 ++++++++++++++++++++++++++++++++
 1 file changed, 121 insertions(+)
 create mode 100644 src/armnnTfLiteParser/test/Quantize.cpp

(limited to 'src/armnnTfLiteParser/test')

diff --git a/src/armnnTfLiteParser/test/Quantize.cpp b/src/armnnTfLiteParser/test/Quantize.cpp
new file mode 100644
index 0000000000..ca5e6d5091
--- /dev/null
+++ b/src/armnnTfLiteParser/test/Quantize.cpp
@@ -0,0 +1,121 @@
+//
+// Copyright © 2019 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 QuantizeFixture : public ParserFlatbuffersFixture
+    {
+        explicit QuantizeFixture(const std::string & inputShape,
+                                 const std::string & outputShape,
+                                 const std::string & dataType)
+        {
+            m_JsonString = R"(
+            {
+                "version": 3,
+                "operator_codes": [ { "builtin_code": "QUANTIZE" } ],
+                "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": )" + dataType + R"(,
+                            "buffer": 1,
+                            "name": "outputTensor",
+                            "quantization": {
+                                "min": [ 0.0 ],
+                                "max": [ 255.0 ],
+                                "scale": [ 1.5 ],
+                                "zero_point": [ 0 ],
+                            }
+                        }
+                    ],
+                    "inputs": [ 0 ],
+                    "outputs": [ 1 ],
+                    "operators": [
+                        {
+                            "opcode_index": 0,
+                            "inputs": [ 0 ],
+                            "outputs": [ 1 ],
+                            "builtin_options_type": "QuantizeOptions",
+                            "builtin_options": {
+                            },
+                            "custom_options_format": "FLEXBUFFERS"
+                        }
+                ],
+                } ],
+                "buffers" : [
+                    { },
+                    { },
+                ]
+            }
+        )";
+            SetupSingleInputSingleOutput("inputTensor", "outputTensor");
+        }
+    };
+
+    struct SimpleQuantizeFixtureQAsymm8 : QuantizeFixture
+    {
+        SimpleQuantizeFixtureQAsymm8() : QuantizeFixture("[ 1, 6 ]",
+                                                         "[ 1, 6 ]",
+                                                         "UINT8") {}
+    };
+
+    BOOST_FIXTURE_TEST_CASE(SimpleQuantizeQAsymm8, SimpleQuantizeFixtureQAsymm8)
+    {
+        RunTest<2, armnn::DataType::Float32, armnn::DataType::QuantisedAsymm8>(
+                0,
+                {{"inputTensor",  { 0.0f, 1.5f, 7.5f, 150.0f, 300.0f, 382.5f }}},
+                {{"outputTensor", { 0u,   1u,   5u,   100u,   200u,   255u }}});
+    }
+
+    struct SimpleQuantizeFixtureQSymm16 : QuantizeFixture
+    {
+        SimpleQuantizeFixtureQSymm16() : QuantizeFixture("[ 1, 6 ]",
+                                                         "[ 1, 6 ]",
+                                                         "INT16") {}
+    };
+
+    BOOST_FIXTURE_TEST_CASE(SimpleQuantizeQsymm16, SimpleQuantizeFixtureQSymm16)
+    {
+        RunTest<2, armnn::DataType::Float32, armnn::DataType::QuantisedSymm16>(
+                0,
+                {{"inputTensor",  { 0.0f, 1.5f, 7.5f, 49150.5f, -1.5f,-49152.0f }}},
+                {{"outputTensor", { 0,    1,    5,    32767,    -1,   -32768 }}});
+    }
+
+    struct SimpleQuantizeFixtureQSymmS8 : QuantizeFixture
+    {
+        SimpleQuantizeFixtureQSymmS8() : QuantizeFixture("[ 1, 6 ]",
+                                                         "[ 1, 6 ]",
+                                                         "INT8") {}
+    };
+
+    BOOST_FIXTURE_TEST_CASE(SimpleQuantizeQSymmS8, SimpleQuantizeFixtureQSymmS8)
+    {
+        RunTest<2, armnn::DataType::Float32, armnn::DataType::QSymmS8>(
+                0,
+                {{"inputTensor",  { 0.0f, 1.5f, 7.5f, 190.5f, -192.0f, -1.5f }}},
+                {{"outputTensor", { 0,    1,    5,    127,    -128,   -1 }}});
+    }
+
+BOOST_AUTO_TEST_SUITE_END()
-- 
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