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authorNarumol Prangnawarat <narumol.prangnawarat@arm.com>2022-01-28 17:59:18 +0000
committerJim Flynn <jim.flynn@arm.com>2022-01-31 12:53:51 +0000
commite2af6f4322a1e2b8b3c391fb721a6a80c281477f (patch)
treeb0dd53289e27304a6d724821459cb0f4b6343a39 /src/armnn/Runtime.hpp
parentfd313fef775ed210f8dab84452ea382a0b4164b0 (diff)
downloadarmnn-e2af6f4322a1e2b8b3c391fb721a6a80c281477f.tar.gz
IVGCVSW-6552 Add support of aligned host memory
* Add AllocatedData functions to OutputHandler * Enable import aligned memory in ImportInputs * Enable import aligned memory in ImportOutputs * Allow to import input and output if the memory is aligned * Implement Reconfigure function on ClConvolution2dWorkload * End-to-end test on Ref and Cl to ensure that input and output memory are imported when aligned Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: I9e5e4c26d1ac2f1d806803ade5f64c6479c51718
Diffstat (limited to 'src/armnn/Runtime.hpp')
-rw-r--r--src/armnn/Runtime.hpp10
1 files changed, 7 insertions, 3 deletions
diff --git a/src/armnn/Runtime.hpp b/src/armnn/Runtime.hpp
index 4052bb6d3a..bd37013ad0 100644
--- a/src/armnn/Runtime.hpp
+++ b/src/armnn/Runtime.hpp
@@ -55,8 +55,10 @@ public:
armnn::TensorInfo GetInputTensorInfo(NetworkId networkId, LayerBindingId layerId) const;
armnn::TensorInfo GetOutputTensorInfo(NetworkId networkId, LayerBindingId layerId) const;
- std::vector<ImportedInputId> ImportInputs(NetworkId networkId, const InputTensors& inputTensors);
- std::vector<ImportedOutputId> ImportOutputs(NetworkId networkId, const OutputTensors& outputTensors);
+ std::vector<ImportedInputId> ImportInputs(NetworkId networkId, const InputTensors& inputTensors,
+ MemorySource forceImportMemorySource = MemorySource::Undefined);
+ std::vector<ImportedOutputId> ImportOutputs(NetworkId networkId, const OutputTensors& outputTensors,
+ MemorySource forceImportMemorySource = MemorySource::Undefined);
void ClearImportedInputs(NetworkId networkId, const std::vector<ImportedInputId> inputIds);
void ClearImportedOutputs(NetworkId networkId, const std::vector<ImportedOutputId> outputIds);
@@ -64,7 +66,9 @@ public:
// Evaluates network using input in inputTensors, outputs filled into outputTensors.
Status EnqueueWorkload(NetworkId networkId,
const InputTensors& inputTensors,
- const OutputTensors& outputTensors);
+ const OutputTensors& outputTensors,
+ std::vector<ImportedInputId> preImportedInputIds = {},
+ std::vector<ImportedOutputId> preImportedOutputIds = {});
/// This is an experimental function.
/// Evaluates a network using input in inputTensors and outputs filled into outputTensors.