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 --- .../_cl_space_to_depth_workload_8cpp_source.xhtml | 143 +++++++++++++++++++++ 1 file changed, 143 insertions(+) create mode 100644 20.02/_cl_space_to_depth_workload_8cpp_source.xhtml (limited to '20.02/_cl_space_to_depth_workload_8cpp_source.xhtml') diff --git a/20.02/_cl_space_to_depth_workload_8cpp_source.xhtml b/20.02/_cl_space_to_depth_workload_8cpp_source.xhtml new file mode 100644 index 0000000000..8c0cad4ae1 --- /dev/null +++ b/20.02/_cl_space_to_depth_workload_8cpp_source.xhtml @@ -0,0 +1,143 @@ + + + + + + + + + + + + + +ArmNN: src/backends/cl/workloads/ClSpaceToDepthWorkload.cpp Source File + + + + + + + + + + + + + + + + +
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ClSpaceToDepthWorkload.cpp
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1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "ClSpaceToDepthWorkload.hpp"
7 #include "ClWorkloadUtils.hpp"
8 
9 #include <aclCommon/ArmComputeUtils.hpp>
10 #include <aclCommon/ArmComputeTensorUtils.hpp>
11 #include <backendsCommon/CpuTensorHandle.hpp>
12 #include <cl/ClTensorHandle.hpp>
13 #include <boost/polymorphic_pointer_cast.hpp>
14 
15 namespace armnn
16 {
17 using namespace armcomputetensorutils;
18 
19 ClSpaceToDepthWorkload::ClSpaceToDepthWorkload(const SpaceToDepthQueueDescriptor& desc,
20  const WorkloadInfo& info)
21  : BaseWorkload<SpaceToDepthQueueDescriptor>(desc, info)
22 {
23  m_Data.ValidateInputsOutputs("ClSpaceToDepthWorkload", 1, 1);
24 
25  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
26 
27  arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
28  input.info()->set_data_layout(aclDataLayout);
29 
30  int32_t blockSize = boost::numeric_cast<int32_t>(desc.m_Parameters.m_BlockSize);
31 
32  arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
33  output.info()->set_data_layout(aclDataLayout);
34 
35  m_Layer.configure(&input, &output, blockSize);
36 }
37 
38 void ClSpaceToDepthWorkload::Execute() const
39 {
40  ARMNN_SCOPED_PROFILING_EVENT_CL("ClSpaceToDepthWorkload_Execute");
41  RunClFunction(m_Layer, CHECK_LOCATION());
42 }
43 
44 arm_compute::Status ClSpaceToDepthWorkloadValidate(const TensorInfo& input,
45  const TensorInfo& output,
46  const SpaceToDepthDescriptor& desc)
47 {
48  DataLayout dataLayout = desc.m_DataLayout;
49  const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, dataLayout);
50 
51  int32_t blockSize = boost::numeric_cast<int32_t>(desc.m_BlockSize);
52 
53  const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, dataLayout);
54 
55  const arm_compute::Status aclStatus = arm_compute::CLSpaceToDepthLayer::validate(&aclInputInfo,
56  &aclOutputInfo,
57  blockSize);
58  return aclStatus;
59 }
60 
61 } //namespace armnn
armnn::ClSpaceToDepthWorkloadValidate
arm_compute::Status ClSpaceToDepthWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const SpaceToDepthDescriptor &desc)
Definition: ClSpaceToDepthWorkload.cpp:44
+
armnn::DataLayout
DataLayout
Definition: Types.hpp:49
+
ArmComputeUtils.hpp
+ +
ARMNN_SCOPED_PROFILING_EVENT_CL
#define ARMNN_SCOPED_PROFILING_EVENT_CL(name)
Definition: ClWorkloadUtils.hpp:20
+
armnn::RunClFunction
void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)
Definition: ClWorkloadUtils.hpp:131
+
armnn::ClSpaceToDepthWorkload::ClSpaceToDepthWorkload
ClSpaceToDepthWorkload(const SpaceToDepthQueueDescriptor &descriptor, const WorkloadInfo &info)
Definition: ClSpaceToDepthWorkload.cpp:19
+
armnn::BaseWorkload< SpaceToDepthQueueDescriptor >::m_Data
const SpaceToDepthQueueDescriptor m_Data
Definition: Workload.hpp:46
+
ArmComputeTensorUtils.hpp
+
armnn::QueueDescriptor::ValidateInputsOutputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Definition: WorkloadData.cpp:461
+
armnn
Copyright (c) 2020 ARM Limited.
Definition: 00_introduction.dox:25
+
armnn::SpaceToDepthDescriptor
A SpaceToDepthDescriptor for the SpaceToDepthLayer.
Definition: Descriptors.hpp:810
+ + + +
armnn::Status
Status
enumeration
Definition: Types.hpp:26
+
armnn::numeric_cast
std::enable_if_t< std::is_unsigned< Source >::value &&std::is_unsigned< Dest >::value, Dest > numeric_cast(Source source)
Definition: NumericCast.hpp:33
+
ClSpaceToDepthWorkload.hpp
+
CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:192
+
armnn::SpaceToDepthDescriptor::m_BlockSize
unsigned int m_BlockSize
Scalar specifying the input block size. It must be >= 1.
Definition: Descriptors.hpp:827
+
CpuTensorHandle.hpp
+
armnn::SpaceToDepthDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:830
+
ClTensorHandle.hpp
+
armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:31
+ + +
armnn::WorkloadInfo
Contains information about inputs and outputs to a layer.
Definition: WorkloadInfo.hpp:16
+
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:30
+
ClWorkloadUtils.hpp
+ +
+
+ + + + -- cgit v1.2.1