COMPMID-3060: Add TF Parser support for Transpose
Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Change-Id: I9661787071554b38c5b0ab3c98431f3863b98520
diff --git a/src/armnnTfParser/test/Transpose.cpp b/src/armnnTfParser/test/Transpose.cpp
new file mode 100644
index 0000000..dd73bd9
--- /dev/null
+++ b/src/armnnTfParser/test/Transpose.cpp
@@ -0,0 +1,151 @@
+//
+// Copyright © 2020 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "armnnTfParser/ITfParser.hpp"
+#include "ParserPrototxtFixture.hpp"
+
+#include <boost/test/unit_test.hpp>
+#include <PrototxtConversions.hpp>
+
+BOOST_AUTO_TEST_SUITE(TensorflowParser)
+
+namespace
+{
+ std::string ConvertInt32VectorToOctalString(const std::vector<unsigned int>& data)
+ {
+ std::stringstream ss;
+ ss << "\"";
+ std::for_each(data.begin(), data.end(), [&ss](unsigned int d) {
+ ss << armnnUtils::ConvertInt32ToOctalString(static_cast<int>(d));
+ });
+ ss << "\"";
+ return ss.str();
+ }
+} // namespace
+
+struct TransposeFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser>
+{
+ TransposeFixture(const armnn::TensorShape& inputShape,
+ const std::vector<unsigned int>& permuteVectorData)
+ {
+ using armnnUtils::ConvertTensorShapeToString;
+ armnn::TensorShape permuteVectorShape({static_cast<unsigned int>(permuteVectorData.size())});
+
+ m_Prototext = "node {\n"
+" name: \"input\"\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";
+ m_Prototext.append(ConvertTensorShapeToString(inputShape));
+ m_Prototext.append(
+" }\n"
+" }\n"
+" }\n"
+"}\n"
+"node {\n"
+" name: \"transpose/perm\"\n"
+" op: \"Const\"\n"
+" attr {\n"
+" key: \"dtype\"\n"
+" value {\n"
+" type: DT_INT32\n"
+" }\n"
+" }\n"
+" attr {\n"
+" key: \"value\"\n"
+" value {\n"
+" tensor {\n"
+" dtype: DT_INT32\n"
+" tensor_shape {\n"
+ );
+ m_Prototext.append(ConvertTensorShapeToString(permuteVectorShape));
+ m_Prototext.append(
+" }\n"
+" tensor_content: "
+ );
+ m_Prototext.append(ConvertInt32VectorToOctalString(permuteVectorData) + "\n");
+ m_Prototext.append(
+" }\n"
+" }\n"
+" }\n"
+"}\n"
+ );
+ m_Prototext.append(
+"node {\n"
+" name: \"output\"\n"
+" op: \"Transpose\"\n"
+" input: \"input\"\n"
+" input: \"transpose/perm\"\n"
+" attr {\n"
+" key: \"T\"\n"
+" value {\n"
+" type: DT_FLOAT\n"
+" }\n"
+" }\n"
+" attr {\n"
+" key: \"Tperm\"\n"
+" value {\n"
+" type: DT_INT32\n"
+" }\n"
+" }\n"
+"}\n"
+ );
+ Setup({{"input", inputShape}}, {"output"});
+ }
+};
+
+struct TransposeFixtureWithPermuteData : TransposeFixture
+{
+ TransposeFixtureWithPermuteData()
+ : TransposeFixture({2, 2, 3, 4},
+ std::vector<unsigned int>({1, 3, 2, 0})) {}
+};
+
+BOOST_FIXTURE_TEST_CASE(TransposeWithPermuteData, TransposeFixtureWithPermuteData)
+{
+ RunTest<4>(
+ {{"input", {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,
+ 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31,
+ 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47}}},
+ {{"output", {0, 24, 4, 28, 8, 32, 1, 25, 5, 29, 9, 33, 2, 26, 6,
+ 30, 10, 34, 3, 27, 7, 31, 11, 35, 12, 36, 16, 40, 20, 44, 13, 37,
+ 17, 41, 21, 45, 14, 38, 18, 42, 22, 46, 15, 39, 19, 43, 23, 47}}});
+
+ BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo("output").second.GetShape()
+ == armnn::TensorShape({2, 4, 3, 2})));
+}
+
+struct TransposeFixtureWithoutPermuteData : TransposeFixture
+{
+ // In case permute data is not given, it assumes (n-1,...,0) is given
+ // where n is the rank of input tensor.
+ TransposeFixtureWithoutPermuteData()
+ : TransposeFixture({2, 2, 3, 4},
+ std::vector<unsigned int>({3, 2, 1, 0})) {}
+};
+
+BOOST_FIXTURE_TEST_CASE(TransposeWithoutPermuteData, TransposeFixtureWithoutPermuteData)
+{
+ RunTest<4>(
+ {{"input", {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,
+ 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31,
+ 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47}}},
+ {{"output", {0, 24, 12, 36, 4, 28, 16, 40, 8, 32, 20, 44, 1, 25,
+ 13, 37, 5, 29, 17, 41, 9, 33, 21, 45, 2, 26, 14, 38, 6, 30, 18,
+ 42,10, 34, 22, 46, 3, 27, 15, 39, 7, 31, 19, 43, 11, 35, 23, 47}}});
+
+ BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo("output").second.GetShape()
+ == armnn::TensorShape({4, 3, 2, 2})));
+}
+
+BOOST_AUTO_TEST_SUITE_END()