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keidav01d74dc912018-12-10 18:16:07 +00001//
2// Copyright © 2017 Arm Ltd. All rights reserved.
3// SPDX-License-Identifier: MIT
4//
5
6#include "ClStridedSliceWorkload.hpp"
7
8#include "ClWorkloadUtils.hpp"
9
10#include <aclCommon/ArmComputeUtils.hpp>
11#include <aclCommon/ArmComputeTensorUtils.hpp>
12
13#include <backendsCommon/CpuTensorHandle.hpp>
Francis Murtaghec33a912019-11-05 14:26:23 +000014#include <backendsCommon/WorkloadUtils.hpp>
keidav01d74dc912018-12-10 18:16:07 +000015
Francis Murtaghec33a912019-11-05 14:26:23 +000016#include <boost/numeric/conversion/cast.hpp>
keidav01d74dc912018-12-10 18:16:07 +000017#include <cl/ClLayerSupport.hpp>
18#include <cl/ClTensorHandle.hpp>
19#include <cl/ClLayerSupport.hpp>
20
21namespace armnn
22{
23
24using namespace armcomputetensorutils;
25
26arm_compute::Status ClStridedSliceWorkloadValidate(const TensorInfo& input,
27 const TensorInfo& output,
28 const StridedSliceDescriptor& descriptor)
29{
30 const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
31 const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
32
33 arm_compute::Coordinates starts;
34 arm_compute::Coordinates ends;
35 arm_compute::Coordinates strides;
36
37 std::tie(starts, ends, strides) = SetClStridedSliceData(descriptor.m_Begin, descriptor.m_End, descriptor.m_Stride);
38
Francis Murtaghec33a912019-11-05 14:26:23 +000039 auto numDimensions = boost::numeric_cast<int>(input.GetNumDimensions());
40 int32_t begin_mask = ConvertMaskToACLFormat(descriptor.m_BeginMask, numDimensions);
41 int32_t end_mask = ConvertMaskToACLFormat(descriptor.m_EndMask, numDimensions);
42 int32_t shrink_axis_mask = ConvertMaskToACLFormat(descriptor.m_ShrinkAxisMask, numDimensions);
keidav01d74dc912018-12-10 18:16:07 +000043
44 return arm_compute::CLStridedSlice::validate(&aclInputInfo,
45 &aclOutputInfo,
46 starts,
47 ends,
48 strides,
49 begin_mask,
50 end_mask,
51 shrink_axis_mask);
52}
53
54ClStridedSliceWorkload::ClStridedSliceWorkload(const StridedSliceQueueDescriptor& descriptor,
55 const WorkloadInfo& info)
56 : BaseWorkload<StridedSliceQueueDescriptor>(descriptor, info)
57{
58 m_Data.ValidateInputsOutputs("ClStridedSliceWorkload", 1, 1);
59
60 arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
61 arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
62
63 arm_compute::Coordinates starts;
64 arm_compute::Coordinates ends;
65 arm_compute::Coordinates strides;
66
67 std::tie(starts, ends, strides) = SetClStridedSliceData(m_Data.m_Parameters.m_Begin,
68 m_Data.m_Parameters.m_End,
69 m_Data.m_Parameters.m_Stride);
70
Francis Murtaghec33a912019-11-05 14:26:23 +000071 auto numDimensions = boost::numeric_cast<int>(info.m_InputTensorInfos[0].GetNumDimensions());
72 int32_t begin_mask = ConvertMaskToACLFormat(m_Data.m_Parameters.m_BeginMask, numDimensions);
73 int32_t end_mask = ConvertMaskToACLFormat(m_Data.m_Parameters.m_EndMask, numDimensions);
74 int32_t shrink_axis_mask = ConvertMaskToACLFormat(m_Data.m_Parameters.m_ShrinkAxisMask, numDimensions);
keidav01d74dc912018-12-10 18:16:07 +000075
76 arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
77 input.info()->set_data_layout(aclDataLayout);
78 output.info()->set_data_layout(aclDataLayout);
79
80 m_StridedSliceLayer.configure(&input,
81 &output,
82 starts,
83 ends,
84 strides,
85 begin_mask,
86 end_mask,
87 shrink_axis_mask);
88}
89
90void ClStridedSliceWorkload::Execute() const
91{
92 ARMNN_SCOPED_PROFILING_EVENT_CL("ClStridedSliceWorkload_Execute");
93 RunClFunction(m_StridedSliceLayer, CHECK_LOCATION());
94}
95
96} //namespace armnn