ArmNN
 20.08
NeonResizeWorkload.cpp
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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 
14 
16 
17 using namespace armnn::armcomputetensorutils;
18 
19 namespace armnn
20 {
21 
23  const TensorInfo& output,
24  const ResizeDescriptor& descriptor)
25 {
26  arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input);
27  arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
28 
29  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(descriptor.m_DataLayout);
30  aclInputInfo.set_data_layout(aclDataLayout);
31  aclOutputInfo.set_data_layout(aclDataLayout);
32 
33  arm_compute::InterpolationPolicy aclInterpolationPolicy =
35 
36  arm_compute::SamplingPolicy samplingPolicy = descriptor.m_HalfPixelCenters ? arm_compute::SamplingPolicy::CENTER :
37  arm_compute::SamplingPolicy::TOP_LEFT;
38 
39  return arm_compute::NEScale::validate(&aclInputInfo,
40  &aclOutputInfo,
41  arm_compute::ScaleKernelInfo(aclInterpolationPolicy,
42  arm_compute::BorderMode::REPLICATE,
43  arm_compute::PixelValue(0.f),
44  samplingPolicy,
45  true,
46  descriptor.m_AlignCorners));
47 
48 }
49 
51  const WorkloadInfo& info)
52  : BaseWorkload<ResizeQueueDescriptor>(descriptor, info)
53 {
54  m_Data.ValidateInputsOutputs("NeonResizeWorkload", 1, 1);
55 
56  arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
57  arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
58 
59  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
60  input.info()->set_data_layout(aclDataLayout);
61  output.info()->set_data_layout(aclDataLayout);
62 
63  arm_compute::InterpolationPolicy aclInterpolationPolicy =
65 
66  arm_compute::SamplingPolicy samplingPolicy = descriptor.m_Parameters.m_HalfPixelCenters
67  ? arm_compute::SamplingPolicy::CENTER
68  : arm_compute::SamplingPolicy::TOP_LEFT;
69 
70  m_ResizeLayer.configure(&input,
71  &output,
72  arm_compute::ScaleKernelInfo(aclInterpolationPolicy,
73  arm_compute::BorderMode::REPLICATE,
74  arm_compute::PixelValue(0.f),
75  samplingPolicy,
76  true,
77  descriptor.m_Parameters.m_AlignCorners));
78 };
79 
81 {
82  ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonResizeWorkload_Execute");
83  m_ResizeLayer.run();
84 }
85 
86 } //namespace armnn
arm_compute::InterpolationPolicy ConvertResizeMethodToAclInterpolationPolicy(ResizeMethod resizeMethod)
DataLayout
Definition: Types.hpp:49
const ResizeQueueDescriptor m_Data
Definition: Workload.hpp:46
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
ResizeMethod m_Method
The Interpolation method to use (Bilinear, NearestNeighbor).
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Copyright (c) 2020 ARM Limited.
void Execute() const override
A ResizeDescriptor for the ResizeLayer.
NeonResizeWorkload(const ResizeQueueDescriptor &descriptor, const WorkloadInfo &info)
Status
enumeration
Definition: Types.hpp:26
bool m_HalfPixelCenters
Half Pixel Centers.
bool m_AlignCorners
Aligned corners.
std::vector< ITensorHandle * > m_Outputs
Contains information about inputs and outputs to a layer.
std::vector< ITensorHandle * > m_Inputs
arm_compute::Status NeonResizeWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const ResizeDescriptor &descriptor)
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).