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review.mlplatform.org / ml / armnn / ec33a91ec1557b78b2d01975ec4c5eaf24aa058c / . / src / backends / neon / workloads / NeonStridedSliceWorkload.cpp
blob: 356c0aea833f2a797eea0bd7cf144cacb901e27d [file] [log] [blame]
FinnWilliamsArm1fa19192019-08-02 17:26:31 +0100[diff] [blame]1//
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>
Francis Murtaghec33a912019-11-05 14:26:23 +0000[diff] [blame^]12#include <backendsCommon/WorkloadUtils.hpp>
FinnWilliamsArm1fa19192019-08-02 17:26:31 +0100[diff] [blame]13
14namespace armnn
15{
16
17arm_compute::Status NeonStridedSliceWorkloadValidate(const TensorInfo& input,
18 const TensorInfo& output,
19 const StridedSliceDescriptor& descriptor)
20{
21 const arm_compute::TensorInfo aclInput = armcomputetensorutils::BuildArmComputeTensorInfo(input);
22 const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);
23
24 arm_compute::Coordinates starts;
25 arm_compute::Coordinates ends;
26 arm_compute::Coordinates strides;
27
28 std::tie(starts, ends, strides) = SetNeonStridedSliceData(descriptor.m_Begin,
29 descriptor.m_End,
30 descriptor.m_Stride);
31
Francis Murtaghec33a912019-11-05 14:26:23 +0000[diff] [blame^]32 auto numDimensions = boost::numeric_cast<int>(input.GetNumDimensions());
33 int32_t begin_mask = ConvertMaskToACLFormat(descriptor.m_BeginMask, numDimensions);
34 int32_t end_mask = ConvertMaskToACLFormat(descriptor.m_EndMask, numDimensions);
35 int32_t shrink_axis_mask = ConvertMaskToACLFormat(descriptor.m_ShrinkAxisMask, numDimensions);
FinnWilliamsArm1fa19192019-08-02 17:26:31 +0100[diff] [blame]36
37 return arm_compute::NEStridedSlice::validate(&aclInput,
38 &aclOutput,
39 starts,
40 ends,
41 strides,
42 begin_mask,
43 end_mask,
44 shrink_axis_mask);
45}
46
47NeonStridedSliceWorkload::NeonStridedSliceWorkload(const StridedSliceQueueDescriptor& descriptor,
48 const WorkloadInfo& info)
49 : BaseWorkload<StridedSliceQueueDescriptor>(descriptor, info)
50{
51 m_Data.ValidateInputsOutputs("NeonStridedSliceWorkload", 1, 1);
52
53 arm_compute::ITensor& input = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
54 arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
55
56 arm_compute::Coordinates starts;
57 arm_compute::Coordinates ends;
58 arm_compute::Coordinates strides;
59
60 std::tie(starts, ends, strides) = SetNeonStridedSliceData(m_Data.m_Parameters.m_Begin,
61 m_Data.m_Parameters.m_End,
62 m_Data.m_Parameters.m_Stride);
63
Francis Murtaghec33a912019-11-05 14:26:23 +0000[diff] [blame^]64 auto numDimensions = boost::numeric_cast<int>(info.m_InputTensorInfos[0].GetNumDimensions());
65 int32_t begin_mask = ConvertMaskToACLFormat(m_Data.m_Parameters.m_BeginMask, numDimensions);
66 int32_t end_mask = ConvertMaskToACLFormat(m_Data.m_Parameters.m_EndMask, numDimensions);
67 int32_t shrink_axis_mask = ConvertMaskToACLFormat(m_Data.m_Parameters.m_ShrinkAxisMask, numDimensions);
FinnWilliamsArm1fa19192019-08-02 17:26:31 +0100[diff] [blame]68
69 arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
70 input.info()->set_data_layout(aclDataLayout);
71 output.info()->set_data_layout(aclDataLayout);
72
73 auto layer = std::make_unique<arm_compute::NEStridedSlice>();
74
75 layer->configure(&input,
76 &output,
77 starts,
78 ends,
79 strides,
80 begin_mask,
81 end_mask,
82 shrink_axis_mask);
83 m_Layer.reset(layer.release());
84}
85
86void NeonStridedSliceWorkload::Execute() const
87{
88 ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonStridedSliceWorkload_Execute");
89 m_Layer->run();
90}
91
92} //namespace armnn