diff options
Diffstat (limited to 'src/backends/reference/workloads/RefStackWorkload.cpp')
| -rw-r--r-- | src/backends/reference/workloads/RefStackWorkload.cpp | 22 |
1 files changed, 16 insertions, 6 deletions
diff --git a/src/backends/reference/workloads/RefStackWorkload.cpp b/src/backends/reference/workloads/RefStackWorkload.cpp index fc859506a3..20cf3b38f5 100644 --- a/src/backends/reference/workloads/RefStackWorkload.cpp +++ b/src/backends/reference/workloads/RefStackWorkload.cpp @@ -20,6 +20,16 @@ RefStackWorkload::RefStackWorkload(const StackQueueDescriptor& descriptor, void RefStackWorkload::Execute() const { + Execute(m_Data.m_Inputs, m_Data.m_Outputs); +} + +void RefStackWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor) +{ + Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs); +} + +void RefStackWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const +{ ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefStackWorkload_Execute"); // Can perform a simple concatenation when axis == 0 @@ -29,7 +39,7 @@ void RefStackWorkload::Execute() const ARMNN_ASSERT(output != nullptr); unsigned int numInputs = m_Data.m_Parameters.m_NumInputs; - unsigned int inputLength = GetTensorInfo(m_Data.m_Inputs[0]).GetNumElements(); + unsigned int inputLength = GetTensorInfo(inputs[0]).GetNumElements(); for (unsigned int inputIdx=0; inputIdx<numInputs; ++inputIdx) { @@ -43,13 +53,13 @@ void RefStackWorkload::Execute() const } std::vector<std::unique_ptr<Decoder<float>>> inputDecoders; - for (unsigned int i=0; i<m_Data.m_Inputs.size(); ++i) + for (unsigned int i=0; i<inputs.size(); ++i) { - inputDecoders.push_back(MakeDecoder<float>(GetTensorInfo(m_Data.m_Inputs[i]), - m_Data.m_Inputs[i]->Map())); + inputDecoders.push_back(MakeDecoder<float>(GetTensorInfo(inputs[i]), + inputs[i]->Map())); } - std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(m_Data.m_Outputs[0]), - m_Data.m_Outputs[0]->Map()); + std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(outputs[0]), + outputs[0]->Map()); Stack(m_Data, inputDecoders, *outputEncoder); } |