| // |
| // Copyright © 2022 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "RefBatchMatMulWorkload.hpp" |
| |
| #include "BatchMatMulImpl.hpp" |
| #include "RefWorkloadUtils.hpp" |
| #include "Profiling.hpp" |
| |
| namespace armnn |
| { |
| |
| RefBatchMatMulWorkload::RefBatchMatMulWorkload(const BatchMatMulQueueDescriptor& descriptor, const WorkloadInfo& info) |
| : RefBaseWorkload(descriptor, info) |
| {} |
| |
| void RefBatchMatMulWorkload::Execute() const |
| { |
| Execute(m_Data.m_Inputs, m_Data.m_Outputs); |
| } |
| |
| void RefBatchMatMulWorkload::ExecuteAsync(ExecutionData& executionData) |
| { |
| WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data); |
| Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs); |
| } |
| |
| void RefBatchMatMulWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefBatchMatMulWorkload_Execute"); |
| |
| const TensorInfo& inputXInfo = GetTensorInfo(inputs[0]); |
| const TensorInfo& inputYInfo = GetTensorInfo(inputs[1]); |
| const TensorInfo& outputInfo = GetTensorInfo(outputs[0]); |
| |
| std::unique_ptr<Decoder<float>> inputXDecoder = MakeDecoder<float>(GetTensorInfo(inputs[0]), |
| inputs[0]->Map()); |
| |
| std::unique_ptr<Decoder<float>> inputYDecoder = MakeDecoder<float>(GetTensorInfo(inputs[1]), |
| inputs[1]->Map()); |
| |
| std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(outputs[0]), |
| outputs[0]->Map()); |
| |
| auto bmm = BatchMatMul(m_Data.m_Parameters, |
| inputXInfo, |
| inputYInfo, |
| outputInfo, |
| *inputXDecoder, |
| *inputYDecoder, |
| *outputEncoder); |
| |
| bmm.BatchMatMulImpl(); |
| |
| } |
| |
| } // namespace armnn |