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FinnWilliamsArm1fa19192019-08-02 17:26:31 +01001//
2// Copyright © 2017 Arm Ltd. All rights reserved.
3// SPDX-License-Identifier: MIT
4//
5
6#include "NeonStridedSliceWorkload.hpp"
7
8#include "NeonWorkloadUtils.hpp"
9#include <neon/NeonTensorHandle.hpp>
10#include <aclCommon/ArmComputeUtils.hpp>
11#include <aclCommon/ArmComputeTensorUtils.hpp>
Jan Eilersbb446e52020-04-02 13:56:54 +010012#include <armnn/utility/PolymorphicDowncast.hpp>
Francis Murtaghec33a912019-11-05 14:26:23 +000013#include <backendsCommon/WorkloadUtils.hpp>
FinnWilliamsArm1fa19192019-08-02 17:26:31 +010014
15namespace armnn
16{
17
18arm_compute::Status NeonStridedSliceWorkloadValidate(const TensorInfo& input,
19 const TensorInfo& output,
20 const StridedSliceDescriptor& descriptor)
21{
22 const arm_compute::TensorInfo aclInput = armcomputetensorutils::BuildArmComputeTensorInfo(input);
23 const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);
24
25 arm_compute::Coordinates starts;
26 arm_compute::Coordinates ends;
27 arm_compute::Coordinates strides;
28
29 std::tie(starts, ends, strides) = SetNeonStridedSliceData(descriptor.m_Begin,
30 descriptor.m_End,
31 descriptor.m_Stride);
32
Francis Murtaghec33a912019-11-05 14:26:23 +000033 auto numDimensions = boost::numeric_cast<int>(input.GetNumDimensions());
34 int32_t begin_mask = ConvertMaskToACLFormat(descriptor.m_BeginMask, numDimensions);
35 int32_t end_mask = ConvertMaskToACLFormat(descriptor.m_EndMask, numDimensions);
36 int32_t shrink_axis_mask = ConvertMaskToACLFormat(descriptor.m_ShrinkAxisMask, numDimensions);
FinnWilliamsArm1fa19192019-08-02 17:26:31 +010037
38 return arm_compute::NEStridedSlice::validate(&aclInput,
39 &aclOutput,
40 starts,
41 ends,
42 strides,
43 begin_mask,
44 end_mask,
45 shrink_axis_mask);
46}
47
48NeonStridedSliceWorkload::NeonStridedSliceWorkload(const StridedSliceQueueDescriptor& descriptor,
49 const WorkloadInfo& info)
50 : BaseWorkload<StridedSliceQueueDescriptor>(descriptor, info)
51{
52 m_Data.ValidateInputsOutputs("NeonStridedSliceWorkload", 1, 1);
53
Jan Eilersbb446e52020-04-02 13:56:54 +010054 arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
55 arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
FinnWilliamsArm1fa19192019-08-02 17:26:31 +010056
57 arm_compute::Coordinates starts;
58 arm_compute::Coordinates ends;
59 arm_compute::Coordinates strides;
60
61 std::tie(starts, ends, strides) = SetNeonStridedSliceData(m_Data.m_Parameters.m_Begin,
62 m_Data.m_Parameters.m_End,
63 m_Data.m_Parameters.m_Stride);
64
Francis Murtaghec33a912019-11-05 14:26:23 +000065 auto numDimensions = boost::numeric_cast<int>(info.m_InputTensorInfos[0].GetNumDimensions());
66 int32_t begin_mask = ConvertMaskToACLFormat(m_Data.m_Parameters.m_BeginMask, numDimensions);
67 int32_t end_mask = ConvertMaskToACLFormat(m_Data.m_Parameters.m_EndMask, numDimensions);
68 int32_t shrink_axis_mask = ConvertMaskToACLFormat(m_Data.m_Parameters.m_ShrinkAxisMask, numDimensions);
FinnWilliamsArm1fa19192019-08-02 17:26:31 +010069
70 arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
71 input.info()->set_data_layout(aclDataLayout);
72 output.info()->set_data_layout(aclDataLayout);
73
74 auto layer = std::make_unique<arm_compute::NEStridedSlice>();
75
76 layer->configure(&input,
77 &output,
78 starts,
79 ends,
80 strides,
81 begin_mask,
82 end_mask,
83 shrink_axis_mask);
84 m_Layer.reset(layer.release());
85}
86
87void NeonStridedSliceWorkload::Execute() const
88{
89 ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonStridedSliceWorkload_Execute");
90 m_Layer->run();
91}
92
93} //namespace armnn