blob: 9a981023a79619fc0d522f3da489bc57871cdccc [file] [log] [blame]
Samuel Yap6b478092022-07-06 15:36:03 +01001//
Mike Kelly7cbe7812023-07-25 17:37:33 +01002// Copyright © 2022-2023 Arm Ltd and Contributors. All rights reserved.
Samuel Yap6b478092022-07-06 15:36:03 +01003// SPDX-License-Identifier: MIT
4//
5
6#include "RefBatchMatMulWorkload.hpp"
7
8#include "BatchMatMulImpl.hpp"
9#include "RefWorkloadUtils.hpp"
10#include "Profiling.hpp"
11
12namespace armnn
13{
14
15RefBatchMatMulWorkload::RefBatchMatMulWorkload(const BatchMatMulQueueDescriptor& descriptor, const WorkloadInfo& info)
16 : RefBaseWorkload(descriptor, info)
17{}
18
19void RefBatchMatMulWorkload::Execute() const
20{
21 Execute(m_Data.m_Inputs, m_Data.m_Outputs);
22}
23
24void RefBatchMatMulWorkload::ExecuteAsync(ExecutionData& executionData)
25{
26 WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data);
27 Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs);
28}
29
30void RefBatchMatMulWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
31{
Mike Kelly7cbe7812023-07-25 17:37:33 +010032 ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID("RefBatchMatMulWorkload_Execute");
Samuel Yap6b478092022-07-06 15:36:03 +010033
34 const TensorInfo& inputXInfo = GetTensorInfo(inputs[0]);
35 const TensorInfo& inputYInfo = GetTensorInfo(inputs[1]);
36 const TensorInfo& outputInfo = GetTensorInfo(outputs[0]);
37
38 std::unique_ptr<Decoder<float>> inputXDecoder = MakeDecoder<float>(GetTensorInfo(inputs[0]),
39 inputs[0]->Map());
40
41 std::unique_ptr<Decoder<float>> inputYDecoder = MakeDecoder<float>(GetTensorInfo(inputs[1]),
42 inputs[1]->Map());
43
44 std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(outputs[0]),
45 outputs[0]->Map());
46
47 auto bmm = BatchMatMul(m_Data.m_Parameters,
48 inputXInfo,
49 inputYInfo,
50 outputInfo,
51 *inputXDecoder,
52 *inputYDecoder,
53 *outputEncoder);
Samuel Yap6b478092022-07-06 15:36:03 +010054}
55
56} // namespace armnn