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 --- ...cl_batch_to_space_nd_workload_8cpp_source.xhtml | 142 +++++++++++++++++++++ 1 file changed, 142 insertions(+) create mode 100644 20.02/_cl_batch_to_space_nd_workload_8cpp_source.xhtml (limited to '20.02/_cl_batch_to_space_nd_workload_8cpp_source.xhtml') diff --git a/20.02/_cl_batch_to_space_nd_workload_8cpp_source.xhtml b/20.02/_cl_batch_to_space_nd_workload_8cpp_source.xhtml new file mode 100644 index 0000000000..d1e5a3eb45 --- /dev/null +++ b/20.02/_cl_batch_to_space_nd_workload_8cpp_source.xhtml @@ -0,0 +1,142 @@ + + + + + + + + + + + + + +ArmNN: src/backends/cl/workloads/ClBatchToSpaceNdWorkload.cpp Source File + + + + + + + + + + + + + + + + +
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ClBatchToSpaceNdWorkload.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 "ClBatchToSpaceNdWorkload.hpp"
7 
8 #include <cl/ClTensorHandle.hpp>
9 #include <backendsCommon/CpuTensorHandle.hpp>
10 #include <aclCommon/ArmComputeTensorUtils.hpp>
11 
12 #include "ClWorkloadUtils.hpp"
13 
14 namespace armnn
15 {
16 using namespace armcomputetensorutils;
17 
18 ClBatchToSpaceNdWorkload::ClBatchToSpaceNdWorkload(const BatchToSpaceNdQueueDescriptor& desc,
19  const WorkloadInfo& info)
20  : BaseWorkload<BatchToSpaceNdQueueDescriptor>(desc, info)
21 {
22  m_Data.ValidateInputsOutputs("ClBatchToSpaceNdWorkload", 1, 1);
23 
24  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
25 
26  arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
27  input.info()->set_data_layout(aclDataLayout);
28 
29  // ArmNN blockShape is [H, W] Cl asks for W, H
30  int32_t blockHeight = boost::numeric_cast<int32_t>(desc.m_Parameters.m_BlockShape[0]);
31  int32_t blockWidth = boost::numeric_cast<int32_t>(desc.m_Parameters.m_BlockShape[1]);
32 
33  arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
34  output.info()->set_data_layout(aclDataLayout);
35 
36  m_Layer.configure(&input, blockWidth, blockHeight, &output);
37 }
38 
39 void ClBatchToSpaceNdWorkload::Execute() const
40 {
41  ARMNN_SCOPED_PROFILING_EVENT_CL("ClBatchToSpaceNdWorkload_Execute");
42  RunClFunction(m_Layer, CHECK_LOCATION());
43 }
44 
45 arm_compute::Status ClBatchToSpaceNdWorkloadValidate(const TensorInfo& input,
46  const TensorInfo& output,
47  const BatchToSpaceNdDescriptor& desc) {
48  DataLayout dataLayout = desc.m_DataLayout;
49  const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, dataLayout);
50 
51  // ArmNN blockShape is [H, W] Cl asks for W, H
52  int32_t blockHeight = boost::numeric_cast<int32_t>(desc.m_BlockShape[0]);
53  int32_t blockWidth = boost::numeric_cast<int32_t>(desc.m_BlockShape[1]);
54 
55  const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, dataLayout);
56 
57  const arm_compute::Status aclStatus = arm_compute::CLBatchToSpaceLayer::validate(&aclInputInfo,
58  blockWidth,
59  blockHeight,
60  &aclOutputInfo);
61  return aclStatus;
62 }
63 
64 } //namespace armnn
ClBatchToSpaceNdWorkload.hpp
+
armnn::DataLayout
DataLayout
Definition: Types.hpp:49
+
armnn::ClBatchToSpaceNdWorkloadValidate
arm_compute::Status ClBatchToSpaceNdWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const BatchToSpaceNdDescriptor &desc)
Definition: ClBatchToSpaceNdWorkload.cpp:45
+ +
ARMNN_SCOPED_PROFILING_EVENT_CL
#define ARMNN_SCOPED_PROFILING_EVENT_CL(name)
Definition: ClWorkloadUtils.hpp:20
+
armnn::RunClFunction
void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)
Definition: ClWorkloadUtils.hpp:131
+
armnn::BaseWorkload< BatchToSpaceNdQueueDescriptor >::m_Data
const BatchToSpaceNdQueueDescriptor m_Data
Definition: Workload.hpp:46
+
armnn::BatchToSpaceNdDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:684
+
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::BatchToSpaceNdDescriptor
A BatchToSpaceNdDescriptor for the BatchToSpaceNdLayer.
Definition: Descriptors.hpp:657
+ +
armnn::BatchToSpaceNdDescriptor::m_BlockShape
std::vector< unsigned int > m_BlockShape
Block shape values.
Definition: Descriptors.hpp:680
+
armnn::Status
Status
enumeration
Definition: Types.hpp:26
+
armnn::ClBatchToSpaceNdWorkload::ClBatchToSpaceNdWorkload
ClBatchToSpaceNdWorkload(const BatchToSpaceNdQueueDescriptor &descriptor, const WorkloadInfo &info)
Definition: ClBatchToSpaceNdWorkload.cpp:18
+
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
+
CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:192
+
CpuTensorHandle.hpp
+ +
ClTensorHandle.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
+
ClWorkloadUtils.hpp
+
+
+ + + + -- cgit v1.2.1