| 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> |
| 12 | |
| 13 | |
| 14 | namespace armnn |
| 15 | { |
| 16 | |
| 17 | arm_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 | |
| 32 | int32_t begin_mask = descriptor.m_BeginMask; |
| 33 | int32_t end_mask = descriptor.m_EndMask; |
| 34 | int32_t shrink_axis_mask = descriptor.m_ShrinkAxisMask; |
| 35 | |
| 36 | return arm_compute::NEStridedSlice::validate(&aclInput, |
| 37 | &aclOutput, |
| 38 | starts, |
| 39 | ends, |
| 40 | strides, |
| 41 | begin_mask, |
| 42 | end_mask, |
| 43 | shrink_axis_mask); |
| 44 | } |
| 45 | |
| 46 | NeonStridedSliceWorkload::NeonStridedSliceWorkload(const StridedSliceQueueDescriptor& descriptor, |
| 47 | const WorkloadInfo& info) |
| 48 | : BaseWorkload<StridedSliceQueueDescriptor>(descriptor, info) |
| 49 | { |
| 50 | m_Data.ValidateInputsOutputs("NeonStridedSliceWorkload", 1, 1); |
| 51 | |
| 52 | arm_compute::ITensor& input = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); |
| 53 | arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); |
| 54 | |
| 55 | arm_compute::Coordinates starts; |
| 56 | arm_compute::Coordinates ends; |
| 57 | arm_compute::Coordinates strides; |
| 58 | |
| 59 | std::tie(starts, ends, strides) = SetNeonStridedSliceData(m_Data.m_Parameters.m_Begin, |
| 60 | m_Data.m_Parameters.m_End, |
| 61 | m_Data.m_Parameters.m_Stride); |
| 62 | |
| 63 | int32_t begin_mask = m_Data.m_Parameters.m_BeginMask; |
| 64 | int32_t end_mask = m_Data.m_Parameters.m_EndMask; |
| 65 | int32_t shrink_axis_mask = m_Data.m_Parameters.m_ShrinkAxisMask; |
| 66 | |
| 67 | arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout); |
| 68 | input.info()->set_data_layout(aclDataLayout); |
| 69 | output.info()->set_data_layout(aclDataLayout); |
| 70 | |
| 71 | auto layer = std::make_unique<arm_compute::NEStridedSlice>(); |
| 72 | |
| 73 | layer->configure(&input, |
| 74 | &output, |
| 75 | starts, |
| 76 | ends, |
| 77 | strides, |
| 78 | begin_mask, |
| 79 | end_mask, |
| 80 | shrink_axis_mask); |
| 81 | m_Layer.reset(layer.release()); |
| 82 | } |
| 83 | |
| 84 | void NeonStridedSliceWorkload::Execute() const |
| 85 | { |
| 86 | ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonStridedSliceWorkload_Execute"); |
| 87 | m_Layer->run(); |
| 88 | } |
| 89 | |
| 90 | } //namespace armnn |