diff options
Diffstat (limited to 'tests/ExecuteNetwork/ExecuteNetwork.cpp')
| -rw-r--r-- | tests/ExecuteNetwork/ExecuteNetwork.cpp | 13 |
1 files changed, 7 insertions, 6 deletions
diff --git a/tests/ExecuteNetwork/ExecuteNetwork.cpp b/tests/ExecuteNetwork/ExecuteNetwork.cpp index fa8c8c8761..66be8fd02a 100644 --- a/tests/ExecuteNetwork/ExecuteNetwork.cpp +++ b/tests/ExecuteNetwork/ExecuteNetwork.cpp @@ -9,6 +9,7 @@ #include <AsyncExecutionCallback.hpp> #include <armnn/Logging.hpp> +#include <armnn/Utils.hpp> #include <armnnUtils/Filesystem.hpp> #include <InferenceTest.hpp> @@ -370,8 +371,8 @@ int MainImpl(const ExecuteNetworkParams& params, { using namespace std::chrono; - std::vector<std::vector<TContainer>> inputs; - std::vector<std::vector<TContainer>> outputs; + std::vector<std::vector<armnn::TContainer>> inputs; + std::vector<std::vector<armnn::TContainer>> outputs; try { @@ -436,7 +437,7 @@ int MainImpl(const ExecuteNetworkParams& params, for(unsigned int j = 0; j < params.m_Iterations ; ++j) { - std::vector<TContainer> inputDataContainers; + std::vector<armnn::TContainer> inputDataContainers; for(unsigned int i = 0; i < numInputs; ++i) { // If there are less input files given than required for the execution of @@ -460,7 +461,7 @@ int MainImpl(const ExecuteNetworkParams& params, numElements = params.m_InputTensorShapes[i]->GetNumElements(); } - TContainer tensorData; + armnn::TContainer tensorData; PopulateTensorWithData(tensorData, numElements, params.m_InputTypes[i], @@ -476,7 +477,7 @@ int MainImpl(const ExecuteNetworkParams& params, for (unsigned int j = 0; j < params.m_Iterations; ++j) { - std::vector <TContainer> outputDataContainers; + std::vector <armnn::TContainer> outputDataContainers; for (unsigned int i = 0; i < numOutputs; ++i) { if (params.m_OutputTypes[i].compare("float") == 0) @@ -596,7 +597,7 @@ int MainImpl(const ExecuteNetworkParams& params, { ARMNN_LOG(info) << "Asynchronous execution with Arm NN thread pool... \n"; armnn::AsyncCallbackManager callbackManager; - std::unordered_map<armnn::InferenceId, std::vector<TContainer>&> inferenceOutputMap; + std::unordered_map<armnn::InferenceId, std::vector<armnn::TContainer>&> inferenceOutputMap; // Declare the latest and earliest inference times here to be used when calculating overall time std::chrono::high_resolution_clock::time_point earliestStartTime; |