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_dequantize_workload_8cpp_source.xhtml | 133 ++++++++++++++++++++++ 1 file changed, 133 insertions(+) create mode 100644 20.02/_neon_dequantize_workload_8cpp_source.xhtml (limited to '20.02/_neon_dequantize_workload_8cpp_source.xhtml') diff --git a/20.02/_neon_dequantize_workload_8cpp_source.xhtml b/20.02/_neon_dequantize_workload_8cpp_source.xhtml new file mode 100644 index 0000000000..e879af3331 --- /dev/null +++ b/20.02/_neon_dequantize_workload_8cpp_source.xhtml @@ -0,0 +1,133 @@ + + + + + + + + + + + + + +ArmNN: src/backends/neon/workloads/NeonDequantizeWorkload.cpp Source File + + + + + + + + + + + + + + + + +
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NeonDequantizeWorkload.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 "NeonDequantizeWorkload.hpp"
7 
8 #include "NeonWorkloadUtils.hpp"
9 
10 #include <arm_compute/runtime/NEON/functions/NEDequantizationLayer.h>
11 
12 #include <aclCommon/ArmComputeTensorUtils.hpp>
13 #include <backendsCommon/CpuTensorHandle.hpp>
14 #include <neon/NeonTensorHandle.hpp>
15 
16 namespace armnn
17 {
18 
19 using namespace armcomputetensorutils;
20 
21 arm_compute::Status NeonDequantizeWorkloadValidate(const TensorInfo& input,
22  const TensorInfo& output)
23 {
24  const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input);
25  const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output);
26 
27  return arm_compute::NEDequantizationLayer::validate(&aclInput, &aclOutput);
28 }
29 
30 NeonDequantizeWorkload::NeonDequantizeWorkload(const DequantizeQueueDescriptor& descriptor, const WorkloadInfo& info)
31  : BaseWorkload<DequantizeQueueDescriptor>(descriptor, info)
32 {
33  m_Data.ValidateInputsOutputs("NeonDequantizeWorkload", 1, 1);
34 
35  arm_compute::ITensor& input = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
36  arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
37 
38  std::unique_ptr<arm_compute::NEDequantizationLayer> layer(new arm_compute::NEDequantizationLayer());
39  layer->configure(&input, &output);
40  layer->prepare();
41  m_Layer.reset(layer.release());
42 }
43 
44 void NeonDequantizeWorkload::Execute() const
45 {
46  ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonDequantizeWorkload_Execute");
47  m_Layer->run();
48 }
49 
50 } //namespace armnn
51 
+
armnn::BaseWorkload< DequantizeQueueDescriptor >::m_Data
const DequantizeQueueDescriptor m_Data
Definition: Workload.hpp:46
+
ARMNN_SCOPED_PROFILING_EVENT_NEON
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
Definition: NeonWorkloadUtils.hpp:17
+
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::Status
Status
enumeration
Definition: Types.hpp:26
+
NeonWorkloadUtils.hpp
+
armnn::NeonDequantizeWorkloadValidate
arm_compute::Status NeonDequantizeWorkloadValidate(const TensorInfo &input, const TensorInfo &output)
Definition: NeonDequantizeWorkload.cpp:21
+
armnn::NeonDequantizeWorkload::NeonDequantizeWorkload
NeonDequantizeWorkload(const DequantizeQueueDescriptor &descriptor, const WorkloadInfo &info)
Definition: NeonDequantizeWorkload.cpp:30
+
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
+ +
NeonDequantizeWorkload.hpp
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+
+ + + + -- cgit v1.2.1