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/_neon_resize_workload_8cpp_source.xhtml | 142 ++++++++++++++++++++++++++ 1 file changed, 142 insertions(+) create mode 100644 20.02/_neon_resize_workload_8cpp_source.xhtml (limited to '20.02/_neon_resize_workload_8cpp_source.xhtml') diff --git a/20.02/_neon_resize_workload_8cpp_source.xhtml b/20.02/_neon_resize_workload_8cpp_source.xhtml new file mode 100644 index 0000000000..ebc175cd98 --- /dev/null +++ b/20.02/_neon_resize_workload_8cpp_source.xhtml @@ -0,0 +1,142 @@ + + + + + + + + + + + + + +ArmNN: src/backends/neon/workloads/NeonResizeWorkload.cpp Source File + + + + + + + + + + + + + + + + +
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NeonResizeWorkload.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 "NeonResizeWorkload.hpp"
7 
8 #include "NeonWorkloadUtils.hpp"
9 
10 #include <aclCommon/ArmComputeUtils.hpp>
11 #include <aclCommon/ArmComputeTensorUtils.hpp>
12 #include <backendsCommon/CpuTensorHandle.hpp>
13 #include <neon/NeonTensorHandle.hpp>
14 
15 using namespace armnn::armcomputetensorutils;
16 
17 namespace armnn
18 {
19 
20 arm_compute::Status NeonResizeWorkloadValidate(const TensorInfo& input,
21  const TensorInfo& output,
22  const ResizeDescriptor& descriptor)
23 {
24  arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input);
25  arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
26 
27  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(descriptor.m_DataLayout);
28  aclInputInfo.set_data_layout(aclDataLayout);
29  aclOutputInfo.set_data_layout(aclDataLayout);
30 
31  arm_compute::InterpolationPolicy aclInterpolationPolicy =
32  ConvertResizeMethodToAclInterpolationPolicy(descriptor.m_Method);
33 
34  return arm_compute::NEScale::validate(&aclInputInfo,
35  &aclOutputInfo,
36  aclInterpolationPolicy,
37  arm_compute::BorderMode::REPLICATE,
38  arm_compute::PixelValue(0.f),
39  arm_compute::SamplingPolicy::TOP_LEFT);
40 }
41 
42 NeonResizeWorkload::NeonResizeWorkload(const ResizeQueueDescriptor& descriptor,
43  const WorkloadInfo& info)
44  : BaseWorkload<ResizeQueueDescriptor>(descriptor, info)
45 {
46  m_Data.ValidateInputsOutputs("NeonResizeWorkload", 1, 1);
47 
48  arm_compute::ITensor& input = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
49  arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
50 
51  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
52  input.info()->set_data_layout(aclDataLayout);
53  output.info()->set_data_layout(aclDataLayout);
54 
55  arm_compute::InterpolationPolicy aclInterpolationPolicy =
56  ConvertResizeMethodToAclInterpolationPolicy(descriptor.m_Parameters.m_Method);
57 
58  m_ResizeLayer.configure(&input,
59  &output,
60  aclInterpolationPolicy,
61  arm_compute::BorderMode::REPLICATE,
62  arm_compute::PixelValue(0.f),
63  arm_compute::SamplingPolicy::TOP_LEFT,
64  true,
65  descriptor.m_Parameters.m_BilinearAlignCorners);
66 };
67 
68 void NeonResizeWorkload::Execute() const
69 {
70  ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonResizeWorkload_Execute");
71  m_ResizeLayer.run();
72 }
73 
74 } //namespace armnn
armnn::ConvertResizeMethodToAclInterpolationPolicy
arm_compute::InterpolationPolicy ConvertResizeMethodToAclInterpolationPolicy(ResizeMethod resizeMethod)
Definition: ArmComputeUtils.hpp:126
+
armnn::DataLayout
DataLayout
Definition: Types.hpp:49
+
ArmComputeUtils.hpp
+ +
armnn::BaseWorkload< ResizeQueueDescriptor >::m_Data
const ResizeQueueDescriptor m_Data
Definition: Workload.hpp:46
+
ARMNN_SCOPED_PROFILING_EVENT_NEON
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
Definition: NeonWorkloadUtils.hpp:17
+
armnn::ResizeDescriptor::m_Method
ResizeMethod m_Method
The Interpolation method to use (Bilinear, NearestNeighbor).
Definition: Descriptors.hpp:749
+
NeonTensorHandle.hpp
+
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::NeonResizeWorkload::Execute
void Execute() const override
Definition: NeonResizeWorkload.cpp:68
+ +
NeonResizeWorkload.hpp
+
armnn::ResizeDescriptor
A ResizeDescriptor for the ResizeLayer.
Definition: Descriptors.hpp:724
+ + +
armnn::ResizeDescriptor::m_BilinearAlignCorners
bool m_BilinearAlignCorners
Aligned corners for bilinear method.
Definition: Descriptors.hpp:753
+
armnn::NeonResizeWorkload::NeonResizeWorkload
NeonResizeWorkload(const ResizeQueueDescriptor &descriptor, const WorkloadInfo &info)
Definition: NeonResizeWorkload.cpp:42
+
armnn::Status
Status
enumeration
Definition: Types.hpp:26
+
NeonWorkloadUtils.hpp
+
CpuTensorHandle.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
+
armnn::NeonResizeWorkloadValidate
arm_compute::Status NeonResizeWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const ResizeDescriptor &descriptor)
Definition: NeonResizeWorkload.cpp:20
+
armnn::ResizeDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:751
+ +
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