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author | Finn Williams <Finn.Williams@arm.com> | 2021-04-07 10:23:21 +0100 |
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committer | Finn Williams <Finn.Williams@arm.com> | 2021-04-14 15:18:38 +0100 |
commit | b8181f72b8c7c9132373dbcf7f8709ec2c0f23c0 (patch) | |
tree | 04cc91a6efb7e2601f80e4213a747938165b7184 /src/backends/reference/workloads/RefBatchNormalizationWorkload.cpp | |
parent | b898222a8856475f0217be5e78b4816aa1914f15 (diff) | |
download | armnn-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/RefBatchNormalizationWorkload.cpp')
-rw-r--r-- | src/backends/reference/workloads/RefBatchNormalizationWorkload.cpp | 19 |
1 files changed, 15 insertions, 4 deletions
diff --git a/src/backends/reference/workloads/RefBatchNormalizationWorkload.cpp b/src/backends/reference/workloads/RefBatchNormalizationWorkload.cpp index 21fcdab5a3..e1068896ba 100644 --- a/src/backends/reference/workloads/RefBatchNormalizationWorkload.cpp +++ b/src/backends/reference/workloads/RefBatchNormalizationWorkload.cpp @@ -24,6 +24,17 @@ RefBatchNormalizationWorkload::RefBatchNormalizationWorkload(const BatchNormaliz void RefBatchNormalizationWorkload::Execute() const { + Execute(m_Data.m_Inputs, m_Data.m_Outputs); +} + +void RefBatchNormalizationWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor) +{ + Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs); +} + +void RefBatchNormalizationWorkload::Execute(std::vector<ITensorHandle*> inputs, + std::vector<ITensorHandle*> outputs) const +{ ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefBatchNormalizationWorkload_Execute"); std::unique_ptr<Decoder<float>> meanDecoder = MakeDecoder<float>(m_Mean->GetTensorInfo(), @@ -34,10 +45,10 @@ void RefBatchNormalizationWorkload::Execute() const m_Gamma->Map(true)); std::unique_ptr<Decoder<float>> betaDecoder = MakeDecoder<float>(m_Beta->GetTensorInfo(), m_Beta->Map(true)); - std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(GetTensorInfo(m_Data.m_Inputs[0]), - m_Data.m_Inputs[0]->Map()); - std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(m_Data.m_Outputs[0]), - m_Data.m_Outputs[0]->Map()); + std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(GetTensorInfo(inputs[0]), + inputs[0]->Map()); + std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(outputs[0]), + outputs[0]->Map()); BatchNormImpl(m_Data, *meanDecoder, *varianceDecoder, *betaDecoder, *gammaDecoder, *inputDecoder, *outputEncoder); } |