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-rw-r--r--src/armnnTfLiteParser/test/TransposeConv.cpp177
1 files changed, 177 insertions, 0 deletions
diff --git a/src/armnnTfLiteParser/test/TransposeConv.cpp b/src/armnnTfLiteParser/test/TransposeConv.cpp
new file mode 100644
index 0000000000..05b48ecf0b
--- /dev/null
+++ b/src/armnnTfLiteParser/test/TransposeConv.cpp
@@ -0,0 +1,177 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include <boost/test/unit_test.hpp>
+#include "ParserFlatbuffersFixture.hpp"
+#include "../TfLiteParser.hpp"
+
+BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
+
+struct TransposeConvFixture : public ParserFlatbuffersFixture
+{
+ explicit TransposeConvFixture(const std::string& inputShape,
+ const std::string& outputShape,
+ const std::string& filterShape,
+ const std::string& filterData,
+ const bool biasEnabled,
+ const std::string& biasShape,
+ const std::string& biasData,
+ const std::string& strideX,
+ const std::string& strideY,
+ const std::string& dataType)
+ {
+ std::string biasString;
+ if (biasEnabled)
+ {
+ biasString = R"(
+ {
+ "shape": )" + biasShape + R"(,
+ "type": "INT32",
+ "buffer": 2,
+ "name": "biasTensor",
+ "quantization": {
+ "min": [ 0.0 ],
+ "max": [ 255.0 ],
+ "scale": [ 1.0 ],
+ "zero_point": [ 0 ],
+ }
+ },)";
+
+ }
+ m_JsonString = R"(
+ {
+ "version": 3,
+ "operator_codes": [ { "builtin_code": "TRANSPOSE_CONV" } ],
+ "subgraphs": [ {
+ "tensors": [
+ {
+ "shape": )" + inputShape + R"(,
+ "type": ")" + dataType + R"(",
+ "buffer": 0,
+ "name": "inputTensor",
+ "quantization": {
+ "min": [ 0.0 ],
+ "max": [ 255.0 ],
+ "scale": [ 1.0 ],
+ "zero_point": [ 0 ],
+ }
+ },
+ {
+ "shape": )" + filterShape + R"(,
+ "type": ")" + dataType + R"(",
+ "buffer": 1,
+ "name": "filterTensor",
+ "quantization": {
+ "min": [ 0.0 ],
+ "max": [ 255.0 ],
+ "scale": [ 1.0 ],
+ "zero_point": [ 0 ],
+ }
+ },)" + biasString + R"(
+ {
+ "shape": )" + outputShape + R"(,
+ "type": ")" + dataType + R"(",
+ "buffer": )" + (biasEnabled ? "3" : "2") + R"(,
+ "name": "outputTensor",
+ "quantization": {
+ "min": [ 0.0 ],
+ "max": [ 255.0 ],
+ "scale": [ 1.0 ],
+ "zero_point": [ 0 ],
+ }
+ }
+ ],
+ "inputs": [ 0 ],
+ "outputs": [ )" + (biasEnabled ? "3" : "2") + R"( ],
+ "operators": [
+ {
+ "opcode_index": 0,
+ "inputs": [ 0, 1)" + (biasEnabled ? ", 2" : "") + R"( ],
+ "outputs": [ )" + (biasEnabled ? "3" : "2") + R"( ],
+ "builtin_options_type": "TransposeConvOptions",
+ "builtin_options": {
+ "padding": "SAME",
+ "stride_w": )" + strideX + R"(,
+ "stride_h": )" + strideY + R"(
+ },
+ "custom_options_format": "FLEXBUFFERS"
+ }
+ ],
+ } ],
+ "buffers" : [
+ { },
+ { "data": )" + filterData + R"( },
+ { )" + (biasEnabled ? (R"("data": )" + biasData) : "") + R"( },
+ { }
+ ]
+ }
+ )";
+ SetupSingleInputSingleOutput("inputTensor", "outputTensor");
+ }
+};
+
+struct SimpleTransposeConvFixture : TransposeConvFixture
+{
+ SimpleTransposeConvFixture()
+ : TransposeConvFixture("[ 1, 2, 2, 1 ]", // inputShape
+ "[ 1, 3, 3, 1 ]", // outputShape
+ "[ 1, 2, 2, 1 ]", // filterShape
+ "[ 0, 1, 2, 4 ]", // filterData
+ false, // biasEnabled
+ "", // biasShape
+ "", // biasData
+ "1", // strideX
+ "1", // strideY
+ "UINT8") // dataType
+ {}
+};
+
+BOOST_FIXTURE_TEST_CASE( ParseSimpleTransposeConv, SimpleTransposeConvFixture )
+{
+ RunTest<4, armnn::DataType::QuantisedAsymm8>(
+ 0,
+ {
+ 1, 2,
+ 3, 4
+ },
+ {
+ 0, 1, 2,
+ 2, 11, 12,
+ 6, 20, 16
+ });
+}
+
+struct TransposeConvWithBiasFixture : TransposeConvFixture
+{
+ TransposeConvWithBiasFixture()
+ : TransposeConvFixture("[ 1, 2, 2, 1 ]", // inputShape
+ "[ 1, 3, 3, 1 ]", // outputShape
+ "[ 1, 2, 2, 1 ]", // filterShape
+ "[ 0, 1, 2, 4 ]", // filterData
+ true, // biasEnabled
+ "[ 1 ]", // biasShape
+ "[ 2, 0, 0, 0 ]", // biasData
+ "1", // strideX
+ "1", // strideY
+ "UINT8") // dataType
+ {}
+};
+
+BOOST_FIXTURE_TEST_CASE( ParseTransposeConvWithBias, TransposeConvWithBiasFixture )
+{
+ RunTest<4, armnn::DataType::QuantisedAsymm8>(
+ 0,
+ {
+ 1, 2,
+ 3, 4
+ },
+ {
+ 2, 3, 5,
+ 4, 13, 14,
+ 8, 22, 18
+ });
+}
+
+BOOST_AUTO_TEST_SUITE_END()