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 --- ..._neon_depth_to_space_workload_8cpp_source.xhtml | 137 +++++++++++++++++++++ 1 file changed, 137 insertions(+) create mode 100644 20.02/_neon_depth_to_space_workload_8cpp_source.xhtml (limited to '20.02/_neon_depth_to_space_workload_8cpp_source.xhtml') diff --git a/20.02/_neon_depth_to_space_workload_8cpp_source.xhtml b/20.02/_neon_depth_to_space_workload_8cpp_source.xhtml new file mode 100644 index 0000000000..cd8c05938f --- /dev/null +++ b/20.02/_neon_depth_to_space_workload_8cpp_source.xhtml @@ -0,0 +1,137 @@ + + + + + + + + + + + + + +ArmNN: src/backends/neon/workloads/NeonDepthToSpaceWorkload.cpp Source File + + + + + + + + + + + + + + + + +
+
+ + + + ArmNN + + + +
+
+  20.02 +
+
+
+ + + + + + + +
+
+ +
+
+
+ +
+ +
+
+ + +
+ +
+ +
+
+
NeonDepthToSpaceWorkload.cpp
+
+
+Go to the documentation of this file.
1 //
2 // Copyright © 2019 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "NeonDepthToSpaceWorkload.hpp"
7 
8 #include "NeonWorkloadUtils.hpp"
9 
10 #include <aclCommon/ArmComputeTensorUtils.hpp>
11 
12 #include <boost/numeric/conversion/cast.hpp>
13 #include <boost/polymorphic_pointer_cast.hpp>
14 
15 namespace armnn
16 {
17 
18 using namespace armcomputetensorutils;
19 
20 arm_compute::Status NeonDepthToSpaceWorkloadValidate(const TensorInfo& input,
21  const TensorInfo& output,
22  const DepthToSpaceDescriptor& descriptor)
23 {
24  DataLayout dataLayout = descriptor.m_DataLayout;
25  const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input, dataLayout);
26  const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output, dataLayout);
27 
28  int32_t blockSize = boost::numeric_cast<int32_t>(descriptor.m_BlockSize);
29 
30  return arm_compute::NEDepthToSpaceLayer::validate(&aclInput, &aclOutput, blockSize);
31 }
32 
33 NeonDepthToSpaceWorkload::NeonDepthToSpaceWorkload(const DepthToSpaceQueueDescriptor& desc,
34  const WorkloadInfo& info)
35  : BaseWorkload<DepthToSpaceQueueDescriptor>(desc, info)
36 {
37  m_Data.ValidateInputsOutputs("NeonDepthToSpaceWorkload", 1, 1);
38 
39  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
40 
41  arm_compute::ITensor& input =
42  boost::polymorphic_pointer_downcast<IAclTensorHandle>(m_Data.m_Inputs[0])->GetTensor();
43  input.info()->set_data_layout(aclDataLayout);
44 
45  int32_t blockSize = boost::numeric_cast<int32_t>(desc.m_Parameters.m_BlockSize);
46 
47  arm_compute::ITensor& output =
48  boost::polymorphic_pointer_downcast<IAclTensorHandle>(m_Data.m_Outputs[0])->GetTensor();
49  output.info()->set_data_layout(aclDataLayout);
50 
51  m_Layer.configure(&input, &output, blockSize);
52  m_Layer.prepare();
53 }
54 
55 void NeonDepthToSpaceWorkload::Execute() const
56 {
57  ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonDepthToSpaceWorkload_Execute");
58  m_Layer.run();
59 }
60 
61 } // namespace armnn
armnn::DataLayout
DataLayout
Definition: Types.hpp:49
+ +
armnn::NeonDepthToSpaceWorkload::NeonDepthToSpaceWorkload
NeonDepthToSpaceWorkload(const DepthToSpaceQueueDescriptor &descriptor, const WorkloadInfo &info)
Definition: NeonDepthToSpaceWorkload.cpp:33
+
armnn::BaseWorkload< DepthToSpaceQueueDescriptor >::m_Data
const DepthToSpaceQueueDescriptor m_Data
Definition: Workload.hpp:46
+
ARMNN_SCOPED_PROFILING_EVENT_NEON
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
Definition: NeonWorkloadUtils.hpp:17
+
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
+
NeonWorkloadUtils.hpp
+
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
+
NeonDepthToSpaceWorkload.hpp
+
armnn::SpaceToDepthDescriptor::m_BlockSize
unsigned int m_BlockSize
Scalar specifying the input block size. It must be >= 1.
Definition: Descriptors.hpp:827
+
armnn::SpaceToDepthDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:830
+ +
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
+
armnn::NeonDepthToSpaceWorkloadValidate
arm_compute::Status NeonDepthToSpaceWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const DepthToSpaceDescriptor &descriptor)
Definition: NeonDepthToSpaceWorkload.cpp:20
+ +
+
+ + + + -- cgit v1.2.1