diff options
Diffstat (limited to 'delegate/test/RedefineTestHelper.hpp')
| -rw-r--r-- | delegate/test/RedefineTestHelper.hpp | 166 |
1 files changed, 156 insertions, 10 deletions
diff --git a/delegate/test/RedefineTestHelper.hpp b/delegate/test/RedefineTestHelper.hpp index 80631ccf8d..af9b446ae5 100644 --- a/delegate/test/RedefineTestHelper.hpp +++ b/delegate/test/RedefineTestHelper.hpp @@ -21,7 +21,7 @@ namespace { -std::vector<char> CreateRedefineTfLiteModel( +std::vector<char> CreateReshapeTfLiteModel( tflite::BuiltinOperator redefineOperatorCode, tflite::TensorType tensorType, const std::vector<int32_t>& inputTensorShape, @@ -141,6 +141,127 @@ std::vector<char> CreateRedefineTfLiteModel( flatBufferBuilder.GetBufferPointer() + flatBufferBuilder.GetSize()); } +std::vector<char> CreateRedefineTfLiteModel( + tflite::BuiltinOperator redefineOperatorCode, + tflite::TensorType tensorType, + const std::vector<int32_t>& inputTensorShape, + const std::vector<int32_t>& outputTensorShape, + const std::vector<int32_t>& squeezeOrAxisData, + float quantScale = 1.0f, + int quantOffset = 0) +{ + using namespace tflite; + flatbuffers::FlatBufferBuilder flatBufferBuilder; + std::vector<flatbuffers::Offset<tflite::Buffer>> buffers; + buffers.push_back(CreateBuffer(flatBufferBuilder)); + buffers.push_back(CreateBuffer(flatBufferBuilder)); + + auto quantizationParameters = + CreateQuantizationParameters(flatBufferBuilder, + 0, + 0, + flatBufferBuilder.CreateVector<float>({ quantScale }), + flatBufferBuilder.CreateVector<int64_t>({ quantOffset })); + + auto inputTensor = CreateTensor(flatBufferBuilder, + flatBufferBuilder.CreateVector<int32_t>(inputTensorShape.data(), + inputTensorShape.size()), + tensorType, + 1, + flatBufferBuilder.CreateString("input"), + quantizationParameters); + + std::vector<flatbuffers::Offset<Tensor>> tensors; + std::vector<int32_t> operatorInputs; + std::vector<int> subgraphInputs; + flatbuffers::Offset<void> operatorBuiltinOptions; + tflite::BuiltinOptions operatorBuiltinOptionsType = BuiltinOptions_SqueezeOptions; + + if (redefineOperatorCode == tflite::BuiltinOperator_SQUEEZE) + { + buffers.push_back(CreateBuffer(flatBufferBuilder)); + auto outputTensor = CreateTensor(flatBufferBuilder, + flatBufferBuilder.CreateVector<int32_t>(outputTensorShape.data(), + outputTensorShape.size()), + tensorType, + 2, + flatBufferBuilder.CreateString("output"), + quantizationParameters); + tensors = { inputTensor, outputTensor}; + operatorInputs = {0}; + subgraphInputs = {0}; + operatorBuiltinOptions = + CreateSqueezeOptions(flatBufferBuilder, + flatBufferBuilder.CreateVector(squeezeOrAxisData.data(), + squeezeOrAxisData.size())).Union(); + + operatorBuiltinOptionsType = BuiltinOptions_SqueezeOptions; + } + else if (redefineOperatorCode == tflite::BuiltinOperator_EXPAND_DIMS) + { + buffers.push_back( + CreateBuffer(flatBufferBuilder, + flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(squeezeOrAxisData.data()), + sizeof(int32_t) * squeezeOrAxisData.size()))); + auto shapeTensor = CreateTensor(flatBufferBuilder, + flatBufferBuilder.CreateVector<int32_t>( { 1 } ), + tflite::TensorType_INT32, + 2, + flatBufferBuilder.CreateString("axis")); + + buffers.push_back(CreateBuffer(flatBufferBuilder)); + auto outputTensor = CreateTensor(flatBufferBuilder, + flatBufferBuilder.CreateVector<int32_t>(outputTensorShape.data(), + outputTensorShape.size()), + tensorType, + 3, + flatBufferBuilder.CreateString("output"), + quantizationParameters); + + tensors = { inputTensor, outputTensor, shapeTensor }; + operatorInputs = {0, 2}; + subgraphInputs = {0, 2}; + operatorBuiltinOptions = CreateExpandDimsOptions(flatBufferBuilder).Union(); + + operatorBuiltinOptionsType = BuiltinOptions_ExpandDimsOptions; + } + + const std::vector<int32_t> operatorOutputs{1}; + flatbuffers::Offset <Operator> redefineOperator = + CreateOperator(flatBufferBuilder, + 0, + flatBufferBuilder.CreateVector<int32_t>(operatorInputs.data(), operatorInputs.size()), + flatBufferBuilder.CreateVector<int32_t>(operatorOutputs.data(), operatorOutputs.size()), + operatorBuiltinOptionsType, + operatorBuiltinOptions); + + const std::vector<int> subgraphOutputs{1}; + flatbuffers::Offset <SubGraph> subgraph = + CreateSubGraph(flatBufferBuilder, + flatBufferBuilder.CreateVector(tensors.data(), tensors.size()), + flatBufferBuilder.CreateVector<int32_t>(subgraphInputs.data(), subgraphInputs.size()), + flatBufferBuilder.CreateVector<int32_t>(subgraphOutputs.data(), subgraphOutputs.size()), + flatBufferBuilder.CreateVector(&redefineOperator, 1)); + + flatbuffers::Offset <flatbuffers::String> modelDescription = + flatBufferBuilder.CreateString("ArmnnDelegate: Redefine Operator Model"); + flatbuffers::Offset <OperatorCode> operatorCode = CreateOperatorCode(flatBufferBuilder, + redefineOperatorCode); + + flatbuffers::Offset <Model> flatbufferModel = + CreateModel(flatBufferBuilder, + TFLITE_SCHEMA_VERSION, + flatBufferBuilder.CreateVector(&operatorCode, 1), + flatBufferBuilder.CreateVector(&subgraph, 1), + modelDescription, + flatBufferBuilder.CreateVector(buffers.data(), buffers.size())); + + flatBufferBuilder.Finish(flatbufferModel, armnnDelegate::FILE_IDENTIFIER); + + return std::vector<char>(flatBufferBuilder.GetBufferPointer(), + flatBufferBuilder.GetBufferPointer() + flatBufferBuilder.GetSize()); +} + template <typename T> void RedefineTest(tflite::BuiltinOperator redefineOperatorCode, tflite::TensorType tensorType, @@ -149,20 +270,45 @@ void RedefineTest(tflite::BuiltinOperator redefineOperatorCode, std::vector<int32_t>& outputShape, std::vector<T>& inputValues, std::vector<T>& expectedOutputValues, - std::vector<int32_t>& targetShape, + std::vector<int32_t>& additionalData, bool useOption = true, float quantScale = 1.0f, int quantOffset = 0) { using namespace delegateTestInterpreter; - std::vector<char> modelBuffer = CreateRedefineTfLiteModel(redefineOperatorCode, - tensorType, - inputShape, - outputShape, - targetShape, - useOption, - quantScale, - quantOffset); + + std::vector<char> modelBuffer; + if (redefineOperatorCode == tflite::BuiltinOperator_EXPAND_DIMS) + { + modelBuffer = CreateRedefineTfLiteModel(redefineOperatorCode, + tensorType, + inputShape, + outputShape, + additionalData, + quantScale, + quantOffset); + } + else if (redefineOperatorCode == tflite::BuiltinOperator_RESHAPE) + { + modelBuffer = CreateReshapeTfLiteModel(redefineOperatorCode, + tensorType, + inputShape, + outputShape, + additionalData, + useOption, + quantScale, + quantOffset); + } + else if (redefineOperatorCode == tflite::BuiltinOperator_SQUEEZE) + { + modelBuffer = CreateRedefineTfLiteModel(redefineOperatorCode, + tensorType, + inputShape, + outputShape, + additionalData, + quantScale, + quantOffset); + } // Setup interpreter with just TFLite Runtime. auto tfLiteInterpreter = DelegateTestInterpreter(modelBuffer); 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