From b66504b654a85c81557c5d003fb5f0d6808f1482 Mon Sep 17 00:00:00 2001
From: Nattapat Chaimanowong <nattapat.chaimanowong@arm.com>
Date: Wed, 17 Oct 2018 15:19:14 +0100
Subject: IVGCVSW-2030 and IVGCVSW-2031 Add MaxPooling support and unit test to
 TfLite Parser

Change-Id: I3aea8ea6d018900682d278f28a50e40cf2f963fe
---
 src/armnnTfLiteParser/test/MaxPool2D.cpp | 119 +++++++++++++++++++++++++++++++
 1 file changed, 119 insertions(+)
 create mode 100644 src/armnnTfLiteParser/test/MaxPool2D.cpp

(limited to 'src/armnnTfLiteParser/test/MaxPool2D.cpp')

diff --git a/src/armnnTfLiteParser/test/MaxPool2D.cpp b/src/armnnTfLiteParser/test/MaxPool2D.cpp
new file mode 100644
index 0000000000..06bf7806cc
--- /dev/null
+++ b/src/armnnTfLiteParser/test/MaxPool2D.cpp
@@ -0,0 +1,119 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#include <boost/test/unit_test.hpp>
+#include "armnnTfLiteParser/ITfLiteParser.hpp"
+#include "ParserFlatbuffersFixture.hpp"
+
+BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
+
+struct MaxPool2DFixture : public ParserFlatbuffersFixture
+{
+    explicit MaxPool2DFixture(std::string inputdim, std::string outputdim, std::string dataType)
+    {
+        m_JsonString = R"(
+        {
+            "version": 3,
+            "operator_codes": [ { "builtin_code": "MAX_POOL_2D" } ],
+            "subgraphs": [
+            {
+                "tensors": [
+                {
+                    "shape": )"
+                    + outputdim
+                    + R"(,
+                    "type": )"
+                      + dataType
+                      + R"(,
+                            "buffer": 0,
+                            "name": "OutputTensor",
+                            "quantization": {
+                                "min": [ 0.0 ],
+                                "max": [ 255.0 ],
+                                "scale": [ 1.0 ],
+                                "zero_point": [ 0 ]
+                            }
+                },
+                {
+                    "shape": )"
+                    + inputdim
+                    + R"(,
+                    "type": )"
+                      + dataType
+                      + R"(,
+                            "buffer": 1,
+                            "name": "InputTensor",
+                            "quantization": {
+                                "min": [ 0.0 ],
+                                "max": [ 255.0 ],
+                                "scale": [ 1.0 ],
+                                "zero_point": [ 0 ]
+                            }
+                }
+                ],
+                "inputs": [ 1 ],
+                "outputs": [ 0 ],
+                "operators": [ {
+                        "opcode_index": 0,
+                        "inputs": [ 1 ],
+                        "outputs": [ 0 ],
+                        "builtin_options_type": "Pool2DOptions",
+                        "builtin_options":
+                        {
+                            "padding": "VALID",
+                            "stride_w": 2,
+                            "stride_h": 2,
+                            "filter_width": 2,
+                            "filter_height": 2,
+                            "fused_activation_function": "NONE"
+                        },
+                        "custom_options_format": "FLEXBUFFERS"
+                    } ]
+                }
+            ],
+            "description": "MaxPool2D test.",
+            "buffers" : [ {}, {} ]
+        })";
+
+        SetupSingleInputSingleOutput("InputTensor", "OutputTensor");
+    }
+};
+
+
+struct MaxPoolLiteFixtureUint1DOutput : MaxPool2DFixture
+{
+    MaxPoolLiteFixtureUint1DOutput() : MaxPool2DFixture("[ 1, 2, 2, 1 ]", "[ 1, 1, 1, 1 ]", "UINT8") {}
+};
+
+struct MaxPoolLiteFixtureFloat1DOutput : MaxPool2DFixture
+{
+    MaxPoolLiteFixtureFloat1DOutput() : MaxPool2DFixture("[ 1, 2, 2, 1 ]", "[ 1, 1, 1, 1 ]", "FLOAT32") {}
+};
+
+struct MaxPoolLiteFixtureUint2DOutput : MaxPool2DFixture
+{
+    MaxPoolLiteFixtureUint2DOutput() : MaxPool2DFixture("[ 1, 4, 4, 1 ]", "[ 1, 2, 2, 1 ]", "UINT8") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(MaxPoolLiteUint1DOutput, MaxPoolLiteFixtureUint1DOutput)
+{
+    RunTest<4, uint8_t>(0, { 2, 3, 5, 2 }, { 5 });
+}
+
+BOOST_FIXTURE_TEST_CASE(MaxPoolLiteFloat1DOutput, MaxPoolLiteFixtureFloat1DOutput)
+{
+    RunTest<4, float>(0, { 2.0f, 3.0f, 5.0f, 2.0f },  { 5.0f });
+}
+
+BOOST_FIXTURE_TEST_CASE(MaxPoolLiteUint2DOutput, MaxPoolLiteFixtureUint2DOutput)
+{
+    RunTest<4, uint8_t>(0, { 1, 2, 2, 3, 5, 6, 7, 8, 3, 2, 1, 0, 1, 2, 3, 4 }, { 6, 8, 3, 4 });
+}
+
+BOOST_FIXTURE_TEST_CASE(MaxPoolIncorrectDataTypeError, MaxPoolLiteFixtureFloat1DOutput)
+{
+    BOOST_CHECK_THROW((RunTest<4, uint8_t>(0, { 2, 3, 5, 2 }, { 5 })), armnn::Exception);
+}
+
+BOOST_AUTO_TEST_SUITE_END()
-- 
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