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authorFinn Williams <Finn.Williams@arm.com>2021-04-07 10:23:21 +0100
committerFinn Williams <Finn.Williams@arm.com>2021-04-14 15:18:38 +0100
commitb8181f72b8c7c9132373dbcf7f8709ec2c0f23c0 (patch)
tree04cc91a6efb7e2601f80e4213a747938165b7184 /src/backends/reference/workloads/RefNormalizationWorkload.cpp
parentb898222a8856475f0217be5e78b4816aa1914f15 (diff)
downloadarmnn-b8181f72b8c7c9132373dbcf7f8709ec2c0f23c0.tar.gz
IVGCVSW-5787 Add/Update Execute() implementations in RefActivationWorkload
* Added multithreaded StridedSliceEndToEndTest Signed-off-by: Finn Williams <Finn.Williams@arm.com> Change-Id: I4579db7b5959e0a22256f1bda00238c22e611dec
Diffstat (limited to 'src/backends/reference/workloads/RefNormalizationWorkload.cpp')
-rw-r--r--src/backends/reference/workloads/RefNormalizationWorkload.cpp16
1 files changed, 13 insertions, 3 deletions
diff --git a/src/backends/reference/workloads/RefNormalizationWorkload.cpp b/src/backends/reference/workloads/RefNormalizationWorkload.cpp
index d5d2104cba..36828acfb3 100644
--- a/src/backends/reference/workloads/RefNormalizationWorkload.cpp
+++ b/src/backends/reference/workloads/RefNormalizationWorkload.cpp
@@ -163,12 +163,22 @@ RefNormalizationWorkload::RefNormalizationWorkload(const NormalizationQueueDescr
void RefNormalizationWorkload::Execute() const
{
+ Execute(m_Data.m_Inputs, m_Data.m_Outputs);
+}
+
+void RefNormalizationWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor)
+{
+ Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
+}
+
+void RefNormalizationWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
+{
ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefNormalizationWorkload_Execute");
- const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
+ const TensorInfo& inputInfo = GetTensorInfo(inputs[0]);
- auto inputDecoder = MakeDecoder<float>(inputInfo, m_Data.m_Inputs[0]->Map());
- auto outputEncoder = MakeEncoder<float>(inputInfo, m_Data.m_Outputs[0]->Map());
+ auto inputDecoder = MakeDecoder<float>(inputInfo, inputs[0]->Map());
+ auto outputEncoder = MakeEncoder<float>(inputInfo, outputs[0]->Map());
if (NormalizationAlgorithmMethod::LocalBrightness == m_Data.m_Parameters.m_NormMethodType)
{