FinnWilliamsArm | 1fa1919 | 2019-08-02 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> |
Matthew Sloyan | 171214c | 2020-09-09 09:07:37 +0100 | [diff] [blame] | 12 | #include <armnn/utility/NumericCast.hpp> |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 13 | #include <armnn/utility/PolymorphicDowncast.hpp> |
Francis Murtagh | ec33a91 | 2019-11-05 14:26:23 +0000 | [diff] [blame] | 14 | #include <backendsCommon/WorkloadUtils.hpp> |
FinnWilliamsArm | 1fa1919 | 2019-08-02 17:26:31 +0100 | [diff] [blame] | 15 | |
| 16 | namespace armnn |
| 17 | { |
| 18 | |
| 19 | arm_compute::Status NeonStridedSliceWorkloadValidate(const TensorInfo& input, |
| 20 | const TensorInfo& output, |
| 21 | const StridedSliceDescriptor& descriptor) |
| 22 | { |
| 23 | const arm_compute::TensorInfo aclInput = armcomputetensorutils::BuildArmComputeTensorInfo(input); |
| 24 | const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output); |
| 25 | |
| 26 | arm_compute::Coordinates starts; |
| 27 | arm_compute::Coordinates ends; |
| 28 | arm_compute::Coordinates strides; |
| 29 | |
| 30 | std::tie(starts, ends, strides) = SetNeonStridedSliceData(descriptor.m_Begin, |
| 31 | descriptor.m_End, |
| 32 | descriptor.m_Stride); |
| 33 | |
Matthew Sloyan | 171214c | 2020-09-09 09:07:37 +0100 | [diff] [blame] | 34 | auto numDimensions = armnn::numeric_cast<int>(input.GetNumDimensions()); |
Francis Murtagh | ec33a91 | 2019-11-05 14:26:23 +0000 | [diff] [blame] | 35 | int32_t begin_mask = ConvertMaskToACLFormat(descriptor.m_BeginMask, numDimensions); |
| 36 | int32_t end_mask = ConvertMaskToACLFormat(descriptor.m_EndMask, numDimensions); |
| 37 | int32_t shrink_axis_mask = ConvertMaskToACLFormat(descriptor.m_ShrinkAxisMask, numDimensions); |
FinnWilliamsArm | 1fa1919 | 2019-08-02 17:26:31 +0100 | [diff] [blame] | 38 | |
| 39 | return arm_compute::NEStridedSlice::validate(&aclInput, |
| 40 | &aclOutput, |
| 41 | starts, |
| 42 | ends, |
| 43 | strides, |
| 44 | begin_mask, |
| 45 | end_mask, |
| 46 | shrink_axis_mask); |
| 47 | } |
| 48 | |
| 49 | NeonStridedSliceWorkload::NeonStridedSliceWorkload(const StridedSliceQueueDescriptor& descriptor, |
| 50 | const WorkloadInfo& info) |
| 51 | : BaseWorkload<StridedSliceQueueDescriptor>(descriptor, info) |
| 52 | { |
| 53 | m_Data.ValidateInputsOutputs("NeonStridedSliceWorkload", 1, 1); |
| 54 | |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 55 | arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); |
| 56 | arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); |
FinnWilliamsArm | 1fa1919 | 2019-08-02 17:26:31 +0100 | [diff] [blame] | 57 | |
| 58 | arm_compute::Coordinates starts; |
| 59 | arm_compute::Coordinates ends; |
| 60 | arm_compute::Coordinates strides; |
| 61 | |
| 62 | std::tie(starts, ends, strides) = SetNeonStridedSliceData(m_Data.m_Parameters.m_Begin, |
| 63 | m_Data.m_Parameters.m_End, |
| 64 | m_Data.m_Parameters.m_Stride); |
| 65 | |
Matthew Sloyan | 171214c | 2020-09-09 09:07:37 +0100 | [diff] [blame] | 66 | auto numDimensions = armnn::numeric_cast<int>(info.m_InputTensorInfos[0].GetNumDimensions()); |
Francis Murtagh | ec33a91 | 2019-11-05 14:26:23 +0000 | [diff] [blame] | 67 | int32_t begin_mask = ConvertMaskToACLFormat(m_Data.m_Parameters.m_BeginMask, numDimensions); |
| 68 | int32_t end_mask = ConvertMaskToACLFormat(m_Data.m_Parameters.m_EndMask, numDimensions); |
| 69 | int32_t shrink_axis_mask = ConvertMaskToACLFormat(m_Data.m_Parameters.m_ShrinkAxisMask, numDimensions); |
FinnWilliamsArm | 1fa1919 | 2019-08-02 17:26:31 +0100 | [diff] [blame] | 70 | |
| 71 | arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout); |
| 72 | input.info()->set_data_layout(aclDataLayout); |
| 73 | output.info()->set_data_layout(aclDataLayout); |
| 74 | |
| 75 | auto layer = std::make_unique<arm_compute::NEStridedSlice>(); |
| 76 | |
| 77 | layer->configure(&input, |
| 78 | &output, |
| 79 | starts, |
| 80 | ends, |
| 81 | strides, |
| 82 | begin_mask, |
| 83 | end_mask, |
| 84 | shrink_axis_mask); |
| 85 | m_Layer.reset(layer.release()); |
| 86 | } |
| 87 | |
| 88 | void NeonStridedSliceWorkload::Execute() const |
| 89 | { |
| 90 | ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonStridedSliceWorkload_Execute"); |
| 91 | m_Layer->run(); |
| 92 | } |
| 93 | |
| 94 | } //namespace armnn |