telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
David Beck | ecb56cd | 2018-09-05 12:52:57 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4 | // |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 5 | #include <aclCommon/ArmComputeTensorUtils.hpp> |
| 6 | #include <aclCommon/ArmComputeUtils.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7 | |
Francis Murtagh | 351d13d | 2018-09-24 15:01:18 +0100 | [diff] [blame] | 8 | #include "armnn/Exceptions.hpp" |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9 | #include <armnn/Descriptors.hpp> |
| 10 | |
| 11 | namespace armnn |
| 12 | { |
| 13 | namespace armcomputetensorutils |
| 14 | { |
| 15 | |
| 16 | arm_compute::DataType GetArmComputeDataType(armnn::DataType dataType) |
| 17 | { |
| 18 | switch(dataType) |
| 19 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 20 | case armnn::DataType::Float16: |
| 21 | return arm_compute::DataType::F16; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 22 | case armnn::DataType::Float32: |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 23 | return arm_compute::DataType::F32; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 24 | case armnn::DataType::QuantisedAsymm8: |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 25 | return arm_compute::DataType::QASYMM8; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 26 | case armnn::DataType::Signed32: |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 27 | return arm_compute::DataType::S32; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 28 | default: |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 29 | BOOST_ASSERT_MSG(false, "Unknown data type"); |
| 30 | return arm_compute::DataType::UNKNOWN; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 31 | } |
| 32 | } |
| 33 | |
| 34 | arm_compute::TensorShape BuildArmComputeTensorShape(const armnn::TensorShape& tensorShape) |
| 35 | { |
| 36 | arm_compute::TensorShape shape; |
| 37 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 38 | // armnn tensors are (batch, channels, height, width). |
| 39 | // arm_compute tensors are (width, height, channels, batch). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 40 | for (unsigned int i = 0; i < tensorShape.GetNumDimensions(); i++) |
| 41 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 42 | // Note that our dimensions are stored in the opposite order to ACL's. |
Matthew Bentham | 8910528 | 2018-11-20 14:33:33 +0000 | [diff] [blame] | 43 | shape.set(tensorShape.GetNumDimensions() - i - 1, tensorShape[i], false); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 44 | |
| 45 | // TensorShape::set() flattens leading ones, so that batch size 1 cannot happen. |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 46 | // arm_compute tensors expect this. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 47 | } |
| 48 | |
| 49 | // prevent arm_compute issue where tensor is flattened to nothing |
| 50 | if (shape.num_dimensions() == 0) |
| 51 | { |
| 52 | shape.set_num_dimensions(1); |
| 53 | } |
| 54 | |
| 55 | return shape; |
| 56 | } |
| 57 | |
| 58 | // Utility function used to build a TensorInfo object, that can be used to initialise |
| 59 | // ARM Compute Tensor and CLTensor allocators. |
| 60 | arm_compute::TensorInfo BuildArmComputeTensorInfo(const armnn::TensorInfo& tensorInfo) |
| 61 | { |
| 62 | const arm_compute::TensorShape aclTensorShape = BuildArmComputeTensorShape(tensorInfo.GetShape()); |
| 63 | const arm_compute::DataType aclDataType = GetArmComputeDataType(tensorInfo.GetDataType()); |
| 64 | const arm_compute::QuantizationInfo aclQuantizationInfo(tensorInfo.GetQuantizationScale(), |
| 65 | tensorInfo.GetQuantizationOffset()); |
| 66 | |
| 67 | return arm_compute::TensorInfo(aclTensorShape, 1, aclDataType, aclQuantizationInfo); |
| 68 | } |
| 69 | |
Francis Murtagh | 351d13d | 2018-09-24 15:01:18 +0100 | [diff] [blame] | 70 | arm_compute::DataLayout ConvertDataLayout(armnn::DataLayout dataLayout) |
| 71 | { |
| 72 | switch(dataLayout) |
| 73 | { |
| 74 | case armnn::DataLayout::NHWC : return arm_compute::DataLayout::NHWC; |
| 75 | |
| 76 | case armnn::DataLayout::NCHW : return arm_compute::DataLayout::NCHW; |
| 77 | |
| 78 | default: throw InvalidArgumentException("Unknown armnn::DataLayout: [" + |
| 79 | std::to_string(static_cast<int>(dataLayout)) + "]"); |
| 80 | } |
| 81 | } |
| 82 | |
| 83 | arm_compute::TensorInfo BuildArmComputeTensorInfo(const armnn::TensorInfo& tensorInfo, |
| 84 | armnn::DataLayout dataLayout) |
| 85 | { |
| 86 | const arm_compute::TensorShape aclTensorShape = BuildArmComputeTensorShape(tensorInfo.GetShape()); |
| 87 | const arm_compute::DataType aclDataType = GetArmComputeDataType(tensorInfo.GetDataType()); |
| 88 | const arm_compute::QuantizationInfo aclQuantizationInfo(tensorInfo.GetQuantizationScale(), |
| 89 | tensorInfo.GetQuantizationOffset()); |
| 90 | |
| 91 | arm_compute::TensorInfo clTensorInfo(aclTensorShape, 1, aclDataType, aclQuantizationInfo); |
| 92 | clTensorInfo.set_data_layout(ConvertDataLayout(dataLayout)); |
| 93 | |
| 94 | return clTensorInfo; |
| 95 | } |
| 96 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 97 | arm_compute::PoolingLayerInfo BuildArmComputePoolingLayerInfo(const Pooling2dDescriptor& descriptor) |
| 98 | { |
| 99 | using arm_compute::PoolingType; |
| 100 | using arm_compute::DimensionRoundingType; |
| 101 | using arm_compute::PadStrideInfo; |
| 102 | using arm_compute::PoolingLayerInfo; |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 103 | using arm_compute::Size2D; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 104 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 105 | // Resolve ARM Compute layer parameters. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 106 | const PoolingType poolingType = ConvertPoolingAlgorithmToAclPoolingType(descriptor.m_PoolType); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 107 | |
| 108 | bool isGlobalPooling = (descriptor.m_StrideX==0 && descriptor.m_StrideY==0); |
| 109 | //use specific constructor if global pooling |
| 110 | if(isGlobalPooling) |
| 111 | { |
| 112 | return arm_compute::PoolingLayerInfo(poolingType); |
| 113 | } |
| 114 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 115 | const DimensionRoundingType rounding = ConvertOutputShapeRoundingToAclDimensionRoundingType( |
| 116 | descriptor.m_OutputShapeRounding); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 117 | const PadStrideInfo padStrideInfo(descriptor.m_StrideX, |
| 118 | descriptor.m_StrideY, |
| 119 | descriptor.m_PadLeft, |
| 120 | descriptor.m_PadRight, |
| 121 | descriptor.m_PadTop, |
| 122 | descriptor.m_PadBottom, |
| 123 | rounding); |
| 124 | |
| 125 | const bool excludePadding = (descriptor.m_PaddingMethod == PaddingMethod::Exclude); |
| 126 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 127 | const Size2D poolSize(descriptor.m_PoolWidth, descriptor.m_PoolHeight); |
| 128 | |
| 129 | return arm_compute::PoolingLayerInfo(poolingType, poolSize, padStrideInfo, excludePadding); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 130 | } |
| 131 | |
| 132 | arm_compute::NormalizationLayerInfo BuildArmComputeNormalizationLayerInfo(const NormalizationDescriptor& descriptor) |
| 133 | { |
| 134 | const arm_compute::NormType normType = |
| 135 | ConvertNormalizationAlgorithmChannelToAclNormType(descriptor.m_NormChannelType); |
| 136 | return arm_compute::NormalizationLayerInfo(normType, |
| 137 | descriptor.m_NormSize, |
| 138 | descriptor.m_Alpha, |
| 139 | descriptor.m_Beta, |
| 140 | descriptor.m_K, |
| 141 | false); |
| 142 | } |
| 143 | |
| 144 | arm_compute::PermutationVector BuildArmComputePermutationVector(const armnn::PermutationVector& perm) |
| 145 | { |
| 146 | arm_compute::PermutationVector aclPerm; |
| 147 | |
| 148 | unsigned int start = 0; |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 149 | while ((start < perm.GetSize()) && (start == perm[start])) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 150 | { |
| 151 | ++start; |
| 152 | } |
| 153 | |
| 154 | for (unsigned int i = start; i < perm.GetSize(); ++i) |
| 155 | { |
| 156 | aclPerm.set(i - start, perm[i] - start); |
| 157 | } |
| 158 | |
| 159 | return aclPerm; |
| 160 | } |
| 161 | |
| 162 | } // namespace armcomputetensorutils |
| 163 | } // namespace armnn |