ArmNN
 22.05
ClSpaceToDepthWorkload.cpp
Go to the documentation of this file.
1 //
2 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
7 #include "ClWorkloadUtils.hpp"
8 
12 #include <cl/ClTensorHandle.hpp>
13 
15 
16 namespace armnn
17 {
18 using namespace armcomputetensorutils;
19 
21  const WorkloadInfo& info,
22  const arm_compute::CLCompileContext& clCompileContext)
23  : ClBaseWorkload<SpaceToDepthQueueDescriptor>(descriptor, info)
24 {
25  // Report Profiling Details
26  ARMNN_REPORT_PROFILING_WORKLOAD_DESC("ClSpaceToDepthWorkload_Construct",
27  descriptor.m_Parameters,
28  info,
29  this->GetGuid());
30  m_Data.ValidateInputsOutputs("ClSpaceToDepthWorkload", 1, 1);
31 
32  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
33 
34  arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
35  input.info()->set_data_layout(aclDataLayout);
36 
37  int32_t blockSize = armnn::numeric_cast<int32_t>(descriptor.m_Parameters.m_BlockSize);
38 
39  arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
40  output.info()->set_data_layout(aclDataLayout);
41 
42  {
43  ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "ClSpaceToDepthWorkload_configure");
44  m_Layer.configure(clCompileContext, &input, &output, blockSize);
45  }
46 }
47 
49 {
50  ARMNN_SCOPED_PROFILING_EVENT_CL_GUID("ClSpaceToDepthWorkload_Execute", this->GetGuid());
51  RunClFunction(m_Layer, CHECK_LOCATION());
52 }
53 
55  const TensorInfo& output,
56  const SpaceToDepthDescriptor& descriptor)
57 {
58  DataLayout dataLayout = descriptor.m_DataLayout;
59  const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, dataLayout);
60 
61  int32_t blockSize = armnn::numeric_cast<int32_t>(descriptor.m_BlockSize);
62 
63  const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, dataLayout);
64 
65  const arm_compute::Status aclStatus = arm_compute::CLSpaceToDepthLayer::validate(&aclInputInfo,
66  &aclOutputInfo,
67  blockSize);
68  return aclStatus;
69 }
70 
71 } //namespace armnn
#define ARMNN_SCOPED_PROFILING_EVENT_CL_GUID(name, guid)
DataLayout
Definition: Types.hpp:62
void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)
arm::pipe::ProfilingGuid GetGuid() const final
Definition: Workload.hpp:59
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Copyright (c) 2021 ARM Limited and Contributors.
A SpaceToDepthDescriptor for the SpaceToDepthLayer.
#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
Definition: Profiling.hpp:220
Status
enumeration
Definition: Types.hpp:42
arm_compute::Status ClSpaceToDepthWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const SpaceToDepthDescriptor &descriptor)
#define CHECK_LOCATION()
Definition: Exceptions.hpp:203
unsigned int m_BlockSize
Scalar specifying the input block size. It must be >= 1.
ClSpaceToDepthWorkload(const SpaceToDepthQueueDescriptor &descriptor, const WorkloadInfo &info, const arm_compute::CLCompileContext &clCompileContext)
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
std::vector< ITensorHandle * > m_Outputs
#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)
Definition: Profiling.hpp:227
std::enable_if_t< std::is_unsigned< Source >::value &&std::is_unsigned< Dest >::value, Dest > numeric_cast(Source source)
Definition: NumericCast.hpp:35
Contains information about TensorInfos of a layer.
std::vector< ITensorHandle * > m_Inputs