From fd627ffaec8fd8801d980b4c91ee7c0607ab6aaf Mon Sep 17 00:00:00 2001 From: Jan Eilers Date: Thu, 25 Feb 2021 17:44:00 +0000 Subject: IVGCVSW-5687 Update Doxygen Docu * Update Doxygen Documentation for 21.02 release Signed-off-by: Jan Eilers Change-Id: I9ed2f9caab038836ea99d7b378d7899fe431a4e5 --- 21.02/_cl_reduce_workload_8cpp_source.xhtml | 142 ++++++++++++++++++++++++++++ 1 file changed, 142 insertions(+) create mode 100644 21.02/_cl_reduce_workload_8cpp_source.xhtml (limited to '21.02/_cl_reduce_workload_8cpp_source.xhtml') diff --git a/21.02/_cl_reduce_workload_8cpp_source.xhtml b/21.02/_cl_reduce_workload_8cpp_source.xhtml new file mode 100644 index 0000000000..26e3cce09e --- /dev/null +++ b/21.02/_cl_reduce_workload_8cpp_source.xhtml @@ -0,0 +1,142 @@ + + + + + + + + + + + + + +ArmNN: src/backends/cl/workloads/ClReduceWorkload.cpp Source File + + + + + + + + + + + + + + + + +
+
+ + + + ArmNN + + + +
+
+  21.02 +
+
+
+ + + + + + + +
+
+ +
+
+
+ +
+ +
+
+ + +
+ +
+ +
+
+
ClReduceWorkload.cpp
+
+
+Go to the documentation of this file.
1 //
2 // Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "ClReduceWorkload.hpp"
7 
8 #include <cl/ClTensorHandle.hpp>
11 
12 #include "ClWorkloadUtils.hpp"
13 
14 namespace armnn
15 {
16 using namespace armcomputetensorutils;
17 
19  const TensorInfo& output,
20  const ReduceDescriptor& desc)
21 {
22  const arm_compute::TensorInfo aclInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input);
23  const arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output);
24  if (!desc.m_vAxis.empty() && desc.m_vAxis.size() > 1)
25  {
26  return arm_compute::Status(arm_compute::ErrorCode::RUNTIME_ERROR,
27  "ClReduceWorkload: Reduction is supported only on 1 axis.");
28  }
29 
30  arm_compute::Coordinates coords = BuildArmComputeReductionCoordinates(aclInputInfo.num_dimensions(),
31  input.GetNumDimensions(),
32  desc.m_vAxis);
33 
34 
35  return arm_compute::CLReductionOperation::validate(&aclInputInfo,
36  &aclOutputInfo,
37  static_cast<unsigned int>(coords[0]),
39  desc.m_KeepDims);
40 }
41 
43  : BaseWorkload<ReduceQueueDescriptor>(descriptor, info)
44 {
45  m_Data.ValidateInputsOutputs("ClReduceWorkload", 1, 1);
46 
47  arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
48  arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
49 
50  arm_compute::Coordinates coords = BuildArmComputeReductionCoordinates(input.info()->num_dimensions(),
51  info.m_InputTensorInfos[0].GetNumDimensions(),
53  m_Layer.configure(&input,
54  &output,
55  static_cast<unsigned int>(coords[0]),
58 }
59 
61 {
62  ARMNN_SCOPED_PROFILING_EVENT_CL("ClReduceWorkload_Execute");
63  m_Layer.run();
64 }
65 
66 } //namespace armnn
+ + +
#define ARMNN_SCOPED_PROFILING_EVENT_CL(name)
+
void Execute() const override
+
bool m_KeepDims
if true then output shape has no change.
+
std::array< unsigned int, MaxNumOfTensorDimensions > Coordinates
+
const ReduceQueueDescriptor m_Data
Definition: Workload.hpp:46
+ +
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
+
Copyright (c) 2021 ARM Limited and Contributors.
+ +
arm_compute::ReductionOperation ConvertReductionOperationToAcl(const ReduceDescriptor &descriptor)
+
std::vector< TensorInfo > m_InputTensorInfos
+ +
A ReduceDescriptor for the REDUCE operators.
+
Status
enumeration
Definition: Types.hpp:26
+ +
std::vector< uint32_t > m_vAxis
The indices of the dimensions to reduce.
+ +
std::vector< ITensorHandle * > m_Outputs
+
ClReduceWorkload(const ReduceQueueDescriptor &descriptor, const WorkloadInfo &info)
+ + +
Contains information about inputs and outputs to a layer.
+
std::vector< ITensorHandle * > m_Inputs
+ +
unsigned int GetNumDimensions() const
Definition: Tensor.hpp:191
+
arm_compute::Status ClReduceWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const ReduceDescriptor &desc)
+
+
+ + + + -- cgit v1.2.1