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author | Matthew Jackson <matthew.jackson@arm.com> | 2019-07-11 12:07:09 +0100 |
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committer | Áron Virginás-Tar <aron.virginas-tar@arm.com> | 2019-07-17 14:31:02 +0000 |
commit | 81e601c5a5ebf3de3dd6418942708158de50252a (patch) | |
tree | 48307f6d49639d7bc9bfa2db96a2de33d1095861 /src/backends/reference/workloads/RefStackWorkload.cpp | |
parent | 01bfd1781a18508577b9135408465ee76f346ae5 (diff) | |
download | armnn-81e601c5a5ebf3de3dd6418942708158de50252a.tar.gz |
IVGCVSW-3419 Add reference workload support for the new Stack layer
* Added reference workload for the Stack layer
* Added factory methods
* Added validation support
* Added unit tests
Signed-off-by: Matthew Jackson <matthew.jackson@arm.com>
Change-Id: Ib14b72c15f53a2a2ca152afc357ce2aa405ccc88
Diffstat (limited to 'src/backends/reference/workloads/RefStackWorkload.cpp')
-rw-r--r-- | src/backends/reference/workloads/RefStackWorkload.cpp | 57 |
1 files changed, 57 insertions, 0 deletions
diff --git a/src/backends/reference/workloads/RefStackWorkload.cpp b/src/backends/reference/workloads/RefStackWorkload.cpp new file mode 100644 index 0000000000..be36f40633 --- /dev/null +++ b/src/backends/reference/workloads/RefStackWorkload.cpp @@ -0,0 +1,57 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "RefStackWorkload.hpp" + +#include "RefWorkloadUtils.hpp" +#include "Stack.hpp" + +#include <Profiling.hpp> + +namespace armnn +{ + +RefStackWorkload::RefStackWorkload(const StackQueueDescriptor& descriptor, + const WorkloadInfo& info) + : BaseWorkload(descriptor, info) +{} + +void RefStackWorkload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefStackWorkload_Execute"); + + // Can perform a simple concatenation when axis == 0 + if (!m_Data.m_Parameters.m_Axis) + { + float* output = GetOutputTensorData<float>(0, m_Data); + BOOST_ASSERT(output != nullptr); + + unsigned int numInputs = m_Data.m_Parameters.m_NumInputs; + unsigned int inputLength = GetTensorInfo(m_Data.m_Inputs[0]).GetNumElements(); + + for (unsigned int inputIdx=0; inputIdx<numInputs; ++inputIdx) + { + const float* input = GetInputTensorData<float>(inputIdx, m_Data); + for (unsigned int elmt=0; elmt<inputLength; ++elmt) + { + output[(inputIdx * inputLength) + elmt] = input[elmt]; + } + } + return; + } + + std::vector<std::unique_ptr<Decoder<float>>> inputDecoders; + for (unsigned int i=0; i<m_Data.m_Inputs.size(); ++i) + { + inputDecoders.push_back(MakeDecoder<float>(GetTensorInfo(m_Data.m_Inputs[i]), + m_Data.m_Inputs[i]->Map())); + } + std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(m_Data.m_Outputs[0]), + m_Data.m_Outputs[0]->Map()); + + Stack(m_Data, inputDecoders, *outputEncoder); +} + +} // namespace armnn |