From fd627ffaec8fd8801d980b4c91ee7c0607ab6aaf Mon Sep 17 00:00:00 2001 From: Jan Eilers Date: Thu, 25 Feb 2021 17:44:00 +0000 Subject: IVGCVSW-5687 Update Doxygen Docu * Update Doxygen Documentation for 21.02 release Signed-off-by: Jan Eilers Change-Id: I9ed2f9caab038836ea99d7b378d7899fe431a4e5 --- 21.02/_neon_quantize_workload_8cpp_source.xhtml | 132 ++++++++++++++++++++++++ 1 file changed, 132 insertions(+) create mode 100644 21.02/_neon_quantize_workload_8cpp_source.xhtml (limited to '21.02/_neon_quantize_workload_8cpp_source.xhtml') diff --git a/21.02/_neon_quantize_workload_8cpp_source.xhtml b/21.02/_neon_quantize_workload_8cpp_source.xhtml new file mode 100644 index 0000000000..7c9db49363 --- /dev/null +++ b/21.02/_neon_quantize_workload_8cpp_source.xhtml @@ -0,0 +1,132 @@ + + + + + + + + + + + + + +ArmNN: src/backends/neon/workloads/NeonQuantizeWorkload.cpp Source File + + + + + + + + + + + + + + + + +
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+  21.02 +
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NeonQuantizeWorkload.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 
7 #include "NeonWorkloadUtils.hpp"
8 
12 #include <arm_compute/core/Types.h>
13 
14 namespace armnn
15 {
16 using namespace armcomputetensorutils;
17 
19 {
20  const arm_compute::TensorInfo neonInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input);
21  const arm_compute::TensorInfo neonOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output);
22 
23  return arm_compute::NEQuantizationLayer::validate(&neonInputInfo, &neonOutputInfo);
24 }
25 
27  const WorkloadInfo& workloadInfo)
28  : BaseWorkload<QuantizeQueueDescriptor>(descriptor, workloadInfo)
29 {
30  m_Data.ValidateInputsOutputs("NeonQuantizeWorkload", 1, 1);
31 
32  arm_compute::ITensor& input = PolymorphicPointerDowncast<IAclTensorHandle>(
33  m_Data.m_Inputs[0])->GetTensor();
34  arm_compute::ITensor& output = PolymorphicPointerDowncast<IAclTensorHandle>(
35  m_Data.m_Outputs[0])->GetTensor();
36 
37  m_Layer.reset(new arm_compute::NEQuantizationLayer());
38  m_Layer->configure(&input, &output);
39  m_Layer->prepare();
40 }
41 
43 {
44  if (m_Layer)
45  {
46  ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonQuantizeWorkload_Execute");
47  m_Layer->run();
48  }
49 }
50 
51 } // namespace armnn
+ +
const QuantizeQueueDescriptor m_Data
Definition: Workload.hpp:46
+
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
+ + +
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
+
Copyright (c) 2021 ARM Limited and Contributors.
+
arm_compute::Status NeonQuantizeWorkloadValidate(const TensorInfo &input, const TensorInfo &output)
+ + + +
Status
enumeration
Definition: Types.hpp:26
+ +
std::vector< ITensorHandle * > m_Outputs
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NeonQuantizeWorkload(const QuantizeQueueDescriptor &descriptor, const WorkloadInfo &workloadInfo)
+
Contains information about inputs and outputs to a layer.
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std::vector< ITensorHandle * > m_Inputs
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+
+ + + + -- cgit v1.2.1