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-rw-r--r--include/armnn/IRuntime.hpp6
1 files changed, 2 insertions, 4 deletions
diff --git a/include/armnn/IRuntime.hpp b/include/armnn/IRuntime.hpp
index 042271fc2b..7cd7efda3d 100644
--- a/include/armnn/IRuntime.hpp
+++ b/include/armnn/IRuntime.hpp
@@ -219,25 +219,23 @@ public:
/// ImportInputs separates the importing and mapping of InputTensors from network execution.
/// Allowing for a set of InputTensors to be imported and mapped once, but used in execution many times.
/// This function is not thread safe and must not be used while other threads are calling Execute().
- /// Only compatible with AsyncEnabled networks and aligned memory import
+ /// Only compatible with aligned memory import
std::vector<ImportedInputId> ImportInputs(NetworkId networkId, const InputTensors& inputTensors,
MemorySource forceImportMemorySource = MemorySource::Undefined);
/// ImportOutputs separates the importing and mapping of OutputTensors from network execution.
/// Allowing for a set of OutputTensors to be imported and mapped once, but used in execution many times.
/// This function is not thread safe and must not be used while other threads are calling Execute().
- /// Only compatible with AsyncEnabled networks and aligned memory import
+ /// Only compatible with aligned memory import
std::vector<ImportedOutputId> ImportOutputs(NetworkId networkId, const OutputTensors& outputTensors,
MemorySource forceImportMemorySource = MemorySource::Undefined);
/// Un-import and delete the imported InputTensor/s
/// This function is not thread safe and must not be used while other threads are calling Execute().
- /// Only compatible with AsyncEnabled networks
void ClearImportedInputs(NetworkId networkId, const std::vector<ImportedInputId> inputIds);
/// Un-import and delete the imported OutputTensor/s
/// This function is not thread safe and must not be used while other threads are calling Execute().
- /// Only compatible with AsyncEnabled networks
void ClearImportedOutputs(NetworkId networkId, const std::vector<ImportedOutputId> outputIds);
/// Evaluates a network using input in inputTensors and outputs filled into outputTensors