From ca565c1b04b767abfc13a59146680663a3ea4008 Mon Sep 17 00:00:00 2001 From: Sadik Armagan Date: Tue, 16 Aug 2022 12:17:24 +0100 Subject: IVGCVSW-6603 'Add a no fallback mode to the TfLite Delegate' * Added disable-tflite-runtime-fallback option to armnn_delegate * Updated armnn_delegate version Signed-off-by: Sadik Armagan Change-Id: I449b16404d3ffe98e6dac52a43e7c25225addd73 --- delegate/src/test/DelegateOptionsTest.cpp | 74 ++++++++++++++++++++++++++++++- 1 file changed, 73 insertions(+), 1 deletion(-) (limited to 'delegate/src/test/DelegateOptionsTest.cpp') diff --git a/delegate/src/test/DelegateOptionsTest.cpp b/delegate/src/test/DelegateOptionsTest.cpp index c9f1530968..50d3f78563 100644 --- a/delegate/src/test/DelegateOptionsTest.cpp +++ b/delegate/src/test/DelegateOptionsTest.cpp @@ -150,6 +150,79 @@ TEST_CASE ("ArmnnDelegateOptimizerOptionsImport") delegateOptions); } +TEST_CASE ("ArmnnDelegateStringParsingOptionDisableTfLiteRuntimeFallback") +{ + std::stringstream stringStream; + std::vector keys { "backends", "debug-data", "disable-tflite-runtime-fallback"}; + std::vector values { "CpuRef", "1", "1"}; + + std::vector backends = { armnn::Compute::CpuRef }; + std::vector tensorShape { 1, 2, 2, 1 }; + std::vector inputData = { 0.1f, -2.1f, 3.0f, -4.6f }; + std::vector expectedResult = { 1.0f, -2.0f, 3.0f, -4.0f }; + + // Create options_keys and options_values char array + size_t num_options = keys.size(); + std::unique_ptr options_keys = + std::unique_ptr(new const char*[num_options + 1]); + std::unique_ptr options_values = + std::unique_ptr(new const char*[num_options + 1]); + for (size_t i=0; i(::tflite::TensorType_FLOAT32, + backends, + tensorShape, + inputData, + expectedResult, + delegateOptions); + CHECK(stringStream.str().find("TfLiteArmnnDelegate: There are unsupported operators in the model") + != std::string::npos); +} + +TEST_CASE ("ArmnnDelegateStringParsingOptionEnableTfLiteRuntimeFallback") +{ + std::stringstream stringStream; + std::vector keys { "backends", "debug-data", "disable-tflite-runtime-fallback"}; + std::vector values { "CpuRef", "1", "0"}; + + std::vector backends = { armnn::Compute::CpuRef }; + std::vector tensorShape { 1, 2, 2, 1 }; + std::vector inputData = { 0.1f, -2.1f, 3.0f, -4.6f }; + std::vector expectedResult = { 1.0f, -2.0f, 3.0f, -4.0f }; + + // Create options_keys and options_values char array + size_t num_options = keys.size(); + std::unique_ptr options_keys = + std::unique_ptr(new const char*[num_options + 1]); + std::unique_ptr options_values = + std::unique_ptr(new const char*[num_options + 1]); + for (size_t i=0; i(::tflite::TensorType_FLOAT32, + backends, + tensorShape, + inputData, + expectedResult, + delegateOptions); + + CHECK(stringStream.str().find("TfLiteArmnnDelegate: There are unsupported operators in the model") + == std::string::npos); +} + } TEST_SUITE("DelegateOptions_CpuAccTests") @@ -307,7 +380,6 @@ TEST_CASE ("ArmnnDelegateStringParsingOptionReduceFp32ToFp16") } } - } } // namespace armnnDelegate -- cgit v1.2.1