From 6940dd720ebb6b3d1df8ca203ab696daefe58189 Mon Sep 17 00:00:00 2001 From: Jim Flynn Date: Fri, 20 Mar 2020 12:25:56 +0000 Subject: renamed Documentation folder 20.02 and added .nojekyll file Signed-off-by: Jim Flynn --- 20.02/_cl_constant_workload_8cpp_source.xhtml | 135 ++++++++++++++++++++++++++ 1 file changed, 135 insertions(+) create mode 100644 20.02/_cl_constant_workload_8cpp_source.xhtml (limited to '20.02/_cl_constant_workload_8cpp_source.xhtml') diff --git a/20.02/_cl_constant_workload_8cpp_source.xhtml b/20.02/_cl_constant_workload_8cpp_source.xhtml new file mode 100644 index 0000000000..321d677e53 --- /dev/null +++ b/20.02/_cl_constant_workload_8cpp_source.xhtml @@ -0,0 +1,135 @@ + + + + + + + + + + + + + +ArmNN: src/backends/cl/workloads/ClConstantWorkload.cpp Source File + + + + + + + + + + + + + + + + +
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ClConstantWorkload.cpp
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+Go to the documentation of this file.
1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "ClConstantWorkload.hpp"
7 
8 #include <Half.hpp>
9 #include <aclCommon/ArmComputeTensorUtils.hpp>
10 #include <cl/ClTensorHandle.hpp>
11 #include <backendsCommon/CpuTensorHandle.hpp>
12 
13 #include "ClWorkloadUtils.hpp"
14 
15 namespace armnn
16 {
17 
18 ClConstantWorkload::ClConstantWorkload(const ConstantQueueDescriptor& descriptor, const WorkloadInfo& info)
19  : BaseWorkload<ConstantQueueDescriptor>(descriptor, info)
20  , m_RanOnce(false)
21 {
22 }
23 
24 void ClConstantWorkload::Execute() const
25 {
26  ARMNN_SCOPED_PROFILING_EVENT_CL("ClConstantWorkload_Execute");
27 
28  // The intermediate tensor held by the corresponding layer output handler can be initialised with the given data
29  // on the first inference, then reused for subsequent inferences.
30  // The initialisation cannot happen at workload construction time since the ACL kernel for the next layer may not
31  // have been configured at the time.
32  if (!m_RanOnce)
33  {
34  const ConstantQueueDescriptor& data = this->m_Data;
35 
36  BOOST_ASSERT(data.m_LayerOutput != nullptr);
37  arm_compute::CLTensor& output = static_cast<ClTensorHandle*>(data.m_Outputs[0])->GetTensor();
38  arm_compute::DataType computeDataType = static_cast<ClTensorHandle*>(data.m_Outputs[0])->GetDataType();
39 
40  switch (computeDataType)
41  {
42  case arm_compute::DataType::F16:
43  {
44  CopyArmComputeClTensorData(output, data.m_LayerOutput->GetConstTensor<Half>());
45  break;
46  }
47  case arm_compute::DataType::F32:
48  {
49  CopyArmComputeClTensorData(output, data.m_LayerOutput->GetConstTensor<float>());
50  break;
51  }
52  case arm_compute::DataType::QASYMM8:
53  {
54  CopyArmComputeClTensorData(output, data.m_LayerOutput->GetConstTensor<uint8_t>());
55  break;
56  }
57  default:
58  {
59  BOOST_ASSERT_MSG(false, "Unknown data type");
60  break;
61  }
62  }
63 
64  m_RanOnce = true;
65  }
66 }
67 
68 } //namespace armnn
ClConstantWorkload.hpp
+ + +
armnn::ClConstantWorkload::Execute
void Execute() const override
Definition: ClConstantWorkload.cpp:24
+
ARMNN_SCOPED_PROFILING_EVENT_CL
#define ARMNN_SCOPED_PROFILING_EVENT_CL(name)
Definition: ClWorkloadUtils.hpp:20
+
armnn::BaseWorkload< ConstantQueueDescriptor >::m_Data
const ConstantQueueDescriptor m_Data
Definition: Workload.hpp:46
+
armnn::ConstantQueueDescriptor::m_LayerOutput
const ConstCpuTensorHandle * m_LayerOutput
Definition: WorkloadData.hpp:333
+
ArmComputeTensorUtils.hpp
+
armnn::ConstCpuTensorHandle::GetConstTensor
const T * GetConstTensor() const
Definition: CpuTensorHandle.hpp:31
+
armnn
Copyright (c) 2020 ARM Limited.
Definition: 00_introduction.dox:25
+
false
DataLayout::NHWC false
Definition: ClLayerTests.cpp:129
+ +
armnn::DataType
DataType
Definition: Types.hpp:32
+
armnn::ClConstantWorkload::ClConstantWorkload
ClConstantWorkload(const ConstantQueueDescriptor &descriptor, const WorkloadInfo &info)
Definition: ClConstantWorkload.cpp:18
+
CpuTensorHandle.hpp
+
Half.hpp
+
ClTensorHandle.hpp
+
armnn::CopyArmComputeClTensorData
void CopyArmComputeClTensorData(arm_compute::CLTensor &dstTensor, const T *srcData)
Definition: ClWorkloadUtils.hpp:30
+
armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:31
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armnn::WorkloadInfo
Contains information about inputs and outputs to a layer.
Definition: WorkloadInfo.hpp:16
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armnn::Half
half_float::half Half
Definition: Half.hpp:16
+
ClWorkloadUtils.hpp
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