diff options
Diffstat (limited to 'delegate/test/ActivationTestHelper.hpp')
| -rw-r--r-- | delegate/test/ActivationTestHelper.hpp | 24 |
1 files changed, 20 insertions, 4 deletions
diff --git a/delegate/test/ActivationTestHelper.hpp b/delegate/test/ActivationTestHelper.hpp index e1901b7d9f..b0a4d6785d 100644 --- a/delegate/test/ActivationTestHelper.hpp +++ b/delegate/test/ActivationTestHelper.hpp @@ -23,7 +23,8 @@ namespace std::vector<char> CreateActivationTfLiteModel(tflite::BuiltinOperator activationOperatorCode, tflite::TensorType tensorType, - const std::vector <int32_t>& tensorShape) + const std::vector <int32_t>& tensorShape, + float alpha = 0) { using namespace tflite; flatbuffers::FlatBufferBuilder flatBufferBuilder; @@ -42,11 +43,24 @@ std::vector<char> CreateActivationTfLiteModel(tflite::BuiltinOperator activation // create operator const std::vector<int> operatorInputs{0}; const std::vector<int> operatorOutputs{1}; + + // builtin options + tflite::BuiltinOptions operatorBuiltinOptionsType = tflite::BuiltinOptions_NONE; + flatbuffers::Offset<void> operatorBuiltinOption = 0; + + if (activationOperatorCode == tflite::BuiltinOperator_LEAKY_RELU) + { + operatorBuiltinOptionsType = tflite::BuiltinOptions_LeakyReluOptions; + operatorBuiltinOption = CreateLeakyReluOptions(flatBufferBuilder, alpha).Union(); + } + flatbuffers::Offset <Operator> unaryOperator = CreateOperator(flatBufferBuilder, 0, flatBufferBuilder.CreateVector<int32_t>(operatorInputs.data(), operatorInputs.size()), - flatBufferBuilder.CreateVector<int32_t>(operatorOutputs.data(), operatorOutputs.size())); + flatBufferBuilder.CreateVector<int32_t>(operatorOutputs.data(), operatorOutputs.size()), + operatorBuiltinOptionsType, + operatorBuiltinOption); const std::vector<int> subgraphInputs{0}; const std::vector<int> subgraphOutputs{1}; @@ -78,13 +92,15 @@ std::vector<char> CreateActivationTfLiteModel(tflite::BuiltinOperator activation void ActivationTest(tflite::BuiltinOperator activationOperatorCode, std::vector<armnn::BackendId>& backends, std::vector<float>& inputValues, - std::vector<float>& expectedOutputValues) + std::vector<float>& expectedOutputValues, + float alpha = 0) { using namespace delegateTestInterpreter; std::vector<int32_t> inputShape { { 4, 1, 4} }; std::vector<char> modelBuffer = CreateActivationTfLiteModel(activationOperatorCode, ::tflite::TensorType_FLOAT32, - inputShape); + inputShape, + alpha); // Setup interpreter with just TFLite Runtime. auto tfLiteInterpreter = DelegateTestInterpreter(modelBuffer); |