diff options
| -rw-r--r-- | tests/ExecuteNetwork/ExecuteNetworkProgramOptions.cpp | 11 |
1 files changed, 10 insertions, 1 deletions
diff --git a/tests/ExecuteNetwork/ExecuteNetworkProgramOptions.cpp b/tests/ExecuteNetwork/ExecuteNetworkProgramOptions.cpp index 72c414aa0e..5c1337f769 100644 --- a/tests/ExecuteNetwork/ExecuteNetworkProgramOptions.cpp +++ b/tests/ExecuteNetwork/ExecuteNetworkProgramOptions.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2022-2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2022-2024 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -585,10 +585,19 @@ void ProgramOptions::ParseOptions(int ac, const char* av[]) m_ExNetParams.m_ThreadPoolSize = 1; } + // There's an odd combination of parameters to be handled here. It appears that setting m_ThreadPoolSize greater + // than 0 implies using the asynchronous mode. However, TfLite executor does not support an asynchronous mode of + // execution if (m_ExNetParams.m_ThreadPoolSize > 0) { m_ExNetParams.m_Concurrent = true; } + if (m_ExNetParams.m_Concurrent && + m_ExNetParams.m_TfLiteExecutor == ExecuteNetworkParams::TfLiteExecutor::TfliteInterpreter) + { + ARMNN_LOG(info) << "The TfLite runtime does not support an asynchronous mode of execution. Parameters " + "\"n,concurrent\" or \"P, thread-pool-size\" will be ignored."; + } // Parse input tensor shape from the string we got from the command-line. std::vector<std::string> inputTensorShapesVector = |