Release 18.08

1 files changed, 144 insertions, 0 deletions

diff --git a/src/armnnTfLiteParser/test/Squeeze.cpp b/src/armnnTfLiteParser/test/Squeeze.cpp
new file mode 100644
index 0000000000..a8c99793ad
--- /dev/null
+++ b/src/armnnTfLiteParser/test/Squeeze.cpp
@@ -0,0 +1,144 @@
+//
+// 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 "ParserFlatbuffersFixture.hpp"
+#include "../TfLiteParser.hpp"
+
+#include <string>
+#include <iostream>
+
+BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
+
+struct SqueezeFixture : public ParserFlatbuffersFixture
+{
+    explicit SqueezeFixture(const std::string& inputShape,
+                            const std::string& outputShape,
+                            const std::string& squeezeDims)
+    {
+        m_JsonString = R"(
+            {
+                "version": 3,
+                "operator_codes": [ { "builtin_code": "SQUEEZE" } ],
+                "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": "SqueezeOptions",
+                            "builtin_options": {)";
+        if (!squeezeDims.empty())
+        {
+            m_JsonString += R"("squeeze_dims" : )" + squeezeDims;
+        }
+        m_JsonString += R"(},
+                            "custom_options_format": "FLEXBUFFERS"
+                        }
+                    ],
+                } ],
+                "buffers" : [ {}, {} ]
+            }
+        )";
+    }
+};
+
+struct SqueezeFixtureWithSqueezeDims : SqueezeFixture
+{
+    SqueezeFixtureWithSqueezeDims() : SqueezeFixture("[ 1, 2, 2, 1 ]", "[ 2, 2, 1 ]", "[ 0, 1, 2 ]") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(ParseSqueezeWithSqueezeDims, SqueezeFixtureWithSqueezeDims)
+{
+    SetupSingleInputSingleOutput("inputTensor", "outputTensor");
+    RunTest<3, uint8_t>(0, { 1, 2, 3, 4 }, { 1, 2, 3, 4 });
+    BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape()
+        == armnn::TensorShape({2,2,1})));
+
+}
+
+struct SqueezeFixtureWithoutSqueezeDims : SqueezeFixture
+{
+    SqueezeFixtureWithoutSqueezeDims() : SqueezeFixture("[ 1, 2, 2, 1 ]", "[ 2, 2 ]", "") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(ParseSqueezeWithoutSqueezeDims, SqueezeFixtureWithoutSqueezeDims)
+{
+    SetupSingleInputSingleOutput("inputTensor", "outputTensor");
+    RunTest<2, uint8_t>(0, { 1, 2, 3, 4 }, { 1, 2, 3, 4 });
+    BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape()
+        == armnn::TensorShape({2,2})));
+}
+
+struct SqueezeFixtureWithInvalidInput : SqueezeFixture
+{
+    SqueezeFixtureWithInvalidInput() : SqueezeFixture("[ 1, 2, 2, 1, 2 ]", "[ 1, 2, 2, 1 ]", "[ ]") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(ParseSqueezeInvalidInput, SqueezeFixtureWithInvalidInput)
+{
+    BOOST_CHECK_THROW((SetupSingleInputSingleOutput("inputTensor", "outputTensor")),
+                      armnn::InvalidArgumentException);
+}
+
+struct SqueezeFixtureWithSqueezeDimsSizeInvalid : SqueezeFixture
+{
+    SqueezeFixtureWithSqueezeDimsSizeInvalid() : SqueezeFixture("[ 1, 2, 2, 1 ]",
+                                                                "[ 1, 2, 2, 1 ]",
+                                                                "[ 1, 2, 2, 2, 2 ]") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(ParseSqueezeInvalidSqueezeDims, SqueezeFixtureWithSqueezeDimsSizeInvalid)
+{
+    BOOST_CHECK_THROW((SetupSingleInputSingleOutput("inputTensor", "outputTensor")), armnn::ParseException);
+}
+
+
+struct SqueezeFixtureWithNegativeSqueezeDims : SqueezeFixture
+{
+    SqueezeFixtureWithNegativeSqueezeDims() : SqueezeFixture("[ 1, 2, 2, 1 ]",
+                                                             "[ 1, 2, 2, 1 ]",
+                                                             "[ -2 , 2 ]") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(ParseSqueezeNegativeSqueezeDims, SqueezeFixtureWithNegativeSqueezeDims)
+{
+    BOOST_CHECK_THROW((SetupSingleInputSingleOutput("inputTensor", "outputTensor")), armnn::ParseException);
+}
+
+
+BOOST_AUTO_TEST_SUITE_END()