ArmNN
 20.11
ClStackWorkload.cpp
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1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 #include "ClStackWorkload.hpp"
6 #include "ClWorkloadUtils.hpp"
11 #include <cl/ClTensorHandle.hpp>
12 #include <cl/ClLayerSupport.hpp>
13 
14 #include <arm_compute/core/Types.h>
15 
16 namespace armnn
17 {
18 using namespace armcomputetensorutils;
19 
20 namespace
21 {
22 int CalcAxis(const unsigned int axis, const unsigned int inputDimensions)
23 {
24  const int intAxis = armnn::numeric_cast<int>(axis);
25  return armnn::numeric_cast<int>(inputDimensions) - intAxis;
26 }
27 } //namespace
28 
29 arm_compute::Status ClStackWorkloadValidate(const std::vector<const TensorInfo*>& inputs,
30  const TensorInfo& output,
31  const StackDescriptor& descriptor)
32 {
33  std::vector<arm_compute::ITensorInfo*> aclInputPtrs;
34  arm_compute::TensorInfo aclInputInfo;
35  for (const TensorInfo* input : inputs)
36  {
37  aclInputInfo = BuildArmComputeTensorInfo(*input);
38  aclInputPtrs.emplace_back(&aclInputInfo);
39  }
40  const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
41 
42  int aclAxis = CalcAxis(descriptor.m_Axis, descriptor.m_InputShape.GetNumDimensions());
43 
44  return arm_compute::CLStackLayer::validate(aclInputPtrs, aclAxis, &aclOutputInfo);
45 }
46 
48 : BaseWorkload<StackQueueDescriptor>(descriptor, info)
49 {
50  std::vector<arm_compute::ICLTensor*> aclInputs;
51  for (auto input : m_Data.m_Inputs)
52  {
53  arm_compute::ICLTensor& aclInput = armnn::PolymorphicPointerDowncast<IClTensorHandle>(input)->GetTensor();
54  aclInputs.emplace_back(&aclInput);
55  }
56  arm_compute::ICLTensor& output = armnn::PolymorphicPointerDowncast<IClTensorHandle>(
57  m_Data.m_Outputs[0])->GetTensor();
58 
59  m_Layer.reset(new arm_compute::CLStackLayer());
60  int aclAxis = CalcAxis(descriptor.m_Parameters.m_Axis, descriptor.m_Parameters.m_InputShape.GetNumDimensions());
61  m_Layer->configure(aclInputs, aclAxis, &output);
62 }
63 
65 {
66  if (m_Layer)
67  {
68  ARMNN_SCOPED_PROFILING_EVENT_CL("ClStackWorkload_Execute");
69  m_Layer->run();
70  }
71 }
72 
73 } //namespace armnn
uint32_t m_Axis
0-based axis along which to stack the input tensors.
TensorShape m_InputShape
Required shape of all input tensors.
#define ARMNN_SCOPED_PROFILING_EVENT_CL(name)
const StackQueueDescriptor m_Data
Definition: Workload.hpp:46
Copyright (c) 2020 ARM Limited.
void Execute() const override
A StackDescriptor for the StackLayer.
arm_compute::Status ClStackWorkloadValidate(const std::vector< const TensorInfo *> &inputs, const TensorInfo &output, const StackDescriptor &descriptor)
Status
enumeration
Definition: Types.hpp:26
ClStackWorkload(const StackQueueDescriptor &descriptor, const WorkloadInfo &info)
std::vector< ITensorHandle * > m_Outputs
unsigned int GetNumDimensions() const
Function that returns the tensor rank.
Definition: Tensor.cpp:174
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 inputs and outputs to a layer.
std::vector< ITensorHandle * > m_Inputs