ArmNN
 21.08
ClDepthToSpaceWorkload.cpp
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1 //
2 // Copyright © 2019 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
7 
8 #include "ClWorkloadUtils.hpp"
9 
11 
14 
15 #include <cl/ClTensorHandle.hpp>
16 
17 namespace armnn
18 {
19 
20 using namespace armcomputetensorutils;
21 
23  const TensorInfo& output,
24  const DepthToSpaceDescriptor& descriptor)
25 {
26  DataLayout dataLayout = descriptor.m_DataLayout;
27  const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, dataLayout);
28 
29  int32_t blockSize = armnn::numeric_cast<int32_t>(descriptor.m_BlockSize);
30 
31  const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, dataLayout);
32 
33  const arm_compute::Status aclStatus = arm_compute::CLDepthToSpaceLayer::validate(&aclInputInfo,
34  &aclOutputInfo,
35  blockSize);
36  return aclStatus;
37 }
38 
40  const WorkloadInfo& info,
41  const arm_compute::CLCompileContext& clCompileContext)
42  : BaseWorkload<DepthToSpaceQueueDescriptor>(descriptor, info)
43 {
44  // Report Profiling Details
45  ARMNN_REPORT_PROFILING_WORKLOAD_DESC("ClDepthToSpaceWorkload_Construct",
46  descriptor.m_Parameters,
47  info,
48  this->GetGuid());
49 
50  m_Data.ValidateInputsOutputs("ClDepthToSpaceWorkload", 1, 1);
51 
52  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
53 
54  arm_compute::ICLTensor& input =
55  PolymorphicPointerDowncast<IClTensorHandle>(m_Data.m_Inputs[0])->GetTensor();
56  input.info()->set_data_layout(aclDataLayout);
57 
58  int32_t blockSize = armnn::numeric_cast<int32_t>(descriptor.m_Parameters.m_BlockSize);
59 
60  arm_compute::ICLTensor& output =
61  PolymorphicPointerDowncast<IClTensorHandle>(m_Data.m_Outputs[0])->GetTensor();
62  output.info()->set_data_layout(aclDataLayout);
63 
64  m_Layer.configure(clCompileContext, &input, &output, blockSize);
65 }
66 
68 {
69  ARMNN_SCOPED_PROFILING_EVENT_CL_GUID("ClDepthToSpaceWorkload_Execute", this->GetGuid());
70  RunClFunction(m_Layer, CHECK_LOCATION());
71 }
72 
73 } // namespace armnn
#define ARMNN_SCOPED_PROFILING_EVENT_CL_GUID(name, guid)
DataLayout
Definition: Types.hpp:53
void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)
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.
ClDepthToSpaceWorkload(const DepthToSpaceQueueDescriptor &descriptor, const WorkloadInfo &info, const arm_compute::CLCompileContext &clCompileContext)
arm_compute::Status ClDepthToSpaceWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const DepthToSpaceDescriptor &descriptor)
Status
enumeration
Definition: Types.hpp:29
#define CHECK_LOCATION()
Definition: Exceptions.hpp:197
unsigned int m_BlockSize
Scalar specifying the input block size. It must be >= 1.
profiling::ProfilingGuid GetGuid() const final
Definition: Workload.hpp:55
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:226
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