telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 1 | // |
Mike Kelly | de54716 | 2023-03-08 10:08:20 +0000 | [diff] [blame] | 2 | // Copyright © 2017-2021,2023 Arm Ltd and Contributors. All rights reserved. |
David Beck | 93e4898 | 2018-09-05 13:05:09 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 4 | // |
| 5 | |
| 6 | #define LOG_TAG "ArmnnDriver" |
| 7 | |
| 8 | #include "Utils.hpp" |
Jim Flynn | f2e175c | 2019-12-12 15:11:30 +0000 | [diff] [blame] | 9 | #include "Half.hpp" |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 10 | |
Sadik Armagan | b302143 | 2021-01-13 15:56:51 +0000 | [diff] [blame] | 11 | #include <armnnSerializer/ISerializer.hpp> |
Rob Hughes | 083be70 | 2021-07-19 15:29:47 +0100 | [diff] [blame] | 12 | #include <armnnUtils/Filesystem.hpp> |
Matteo Martincigh | 00d6ed1 | 2019-11-28 17:13:24 +0000 | [diff] [blame] | 13 | #include <armnnUtils/Permute.hpp> |
| 14 | |
Derek Lamberti | d00ad91 | 2020-01-22 15:55:16 +0000 | [diff] [blame] | 15 | #include <armnn/Utils.hpp> |
Colm Donelan | 08d9a1c | 2020-09-09 17:56:55 +0100 | [diff] [blame] | 16 | #include <log/log.h> |
Derek Lamberti | d00ad91 | 2020-01-22 15:55:16 +0000 | [diff] [blame] | 17 | |
Jim Flynn | 829ad30 | 2019-12-13 14:43:24 +0000 | [diff] [blame] | 18 | #include <cerrno> |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 19 | #include <cinttypes> |
Jim Flynn | 829ad30 | 2019-12-13 14:43:24 +0000 | [diff] [blame] | 20 | #include <sstream> |
| 21 | #include <cstdio> |
| 22 | #include <time.h> |
| 23 | |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 24 | using namespace android; |
telsoa01 | ce3e84a | 2018-08-31 09:31:35 +0100 | [diff] [blame] | 25 | using namespace android::hardware; |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 26 | using namespace android::hidl::memory::V1_0; |
| 27 | |
| 28 | namespace armnn_driver |
| 29 | { |
| 30 | const armnn::PermutationVector g_DontPermute{}; |
| 31 | |
Jan Eilers | a71c063 | 2021-04-12 13:12:19 +0100 | [diff] [blame] | 32 | void SwizzleAndroidNn4dTensorToArmNn(armnn::TensorInfo& tensorInfo, const void* input, void* output, |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 33 | const armnn::PermutationVector& mappings) |
| 34 | { |
Mike Kelly | e2d611e | 2021-10-14 12:35:58 +0100 | [diff] [blame] | 35 | if (tensorInfo.GetNumDimensions() != 4U) |
| 36 | { |
| 37 | throw armnn::InvalidArgumentException("NumDimensions must be 4"); |
| 38 | } |
Jan Eilers | a71c063 | 2021-04-12 13:12:19 +0100 | [diff] [blame] | 39 | armnn::DataType dataType = tensorInfo.GetDataType(); |
Matteo Martincigh | bf19d2a | 2019-11-29 11:46:50 +0000 | [diff] [blame] | 40 | switch (dataType) |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 41 | { |
Mike Kelly | 3c67394 | 2019-07-25 09:26:06 +0100 | [diff] [blame] | 42 | case armnn::DataType::Float16: |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 43 | case armnn::DataType::Float32: |
Derek Lamberti | 1a38cda | 2020-01-10 17:28:20 +0000 | [diff] [blame] | 44 | case armnn::DataType::QAsymmU8: |
Mike Kelly | e2d611e | 2021-10-14 12:35:58 +0100 | [diff] [blame] | 45 | case armnn::DataType::QSymmS16: |
Derek Lamberti | d00ad91 | 2020-01-22 15:55:16 +0000 | [diff] [blame] | 46 | case armnn::DataType::QSymmS8: |
Sadik Armagan | 1153d1e | 2020-04-01 15:09:39 +0100 | [diff] [blame] | 47 | case armnn::DataType::QAsymmS8: |
Jan Eilers | a71c063 | 2021-04-12 13:12:19 +0100 | [diff] [blame] | 48 | // First swizzle tensor info |
| 49 | tensorInfo = armnnUtils::Permuted(tensorInfo, mappings); |
| 50 | // Then swizzle tensor data |
| 51 | armnnUtils::Permute(tensorInfo.GetShape(), mappings, input, output, armnn::GetDataTypeSize(dataType)); |
Aron Virginas-Tar | 9f0693b | 2019-11-06 14:32:30 +0000 | [diff] [blame] | 52 | break; |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 53 | default: |
Mike Kelly | e2d611e | 2021-10-14 12:35:58 +0100 | [diff] [blame] | 54 | throw armnn::InvalidArgumentException("Unknown DataType for swizzling"); |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 55 | } |
| 56 | } |
| 57 | |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 58 | void* GetMemoryFromPool(V1_0::DataLocation location, const std::vector<android::nn::RunTimePoolInfo>& memPools) |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 59 | { |
| 60 | // find the location within the pool |
Mike Kelly | e2d611e | 2021-10-14 12:35:58 +0100 | [diff] [blame] | 61 | if (location.poolIndex >= memPools.size()) |
| 62 | { |
| 63 | throw armnn::InvalidArgumentException("The poolIndex is greater than the memPools size."); |
| 64 | } |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 65 | |
surmeh01 | deb3bdb | 2018-07-05 12:06:04 +0100 | [diff] [blame] | 66 | const android::nn::RunTimePoolInfo& memPool = memPools[location.poolIndex]; |
| 67 | |
surmeh01 | deb3bdb | 2018-07-05 12:06:04 +0100 | [diff] [blame] | 68 | uint8_t* memPoolBuffer = memPool.getBuffer(); |
surmeh01 | deb3bdb | 2018-07-05 12:06:04 +0100 | [diff] [blame] | 69 | |
| 70 | uint8_t* memory = memPoolBuffer + location.offset; |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 71 | |
| 72 | return memory; |
| 73 | } |
| 74 | |
Matthew Bentham | 912b362 | 2019-05-03 15:49:14 +0100 | [diff] [blame] | 75 | armnn::TensorInfo GetTensorInfoForOperand(const V1_0::Operand& operand) |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 76 | { |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 77 | using namespace armnn; |
| 78 | DataType type; |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 79 | |
| 80 | switch (operand.type) |
| 81 | { |
Matthew Bentham | 912b362 | 2019-05-03 15:49:14 +0100 | [diff] [blame] | 82 | case V1_0::OperandType::TENSOR_FLOAT32: |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 83 | type = armnn::DataType::Float32; |
| 84 | break; |
Matthew Bentham | 912b362 | 2019-05-03 15:49:14 +0100 | [diff] [blame] | 85 | case V1_0::OperandType::TENSOR_QUANT8_ASYMM: |
Derek Lamberti | 1a38cda | 2020-01-10 17:28:20 +0000 | [diff] [blame] | 86 | type = armnn::DataType::QAsymmU8; |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 87 | break; |
Matthew Bentham | 912b362 | 2019-05-03 15:49:14 +0100 | [diff] [blame] | 88 | case V1_0::OperandType::TENSOR_INT32: |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 89 | type = armnn::DataType::Signed32; |
| 90 | break; |
| 91 | default: |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 92 | throw UnsupportedOperand<V1_0::OperandType>(operand.type); |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 93 | } |
| 94 | |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 95 | TensorInfo ret; |
| 96 | if (operand.dimensions.size() == 0) |
| 97 | { |
| 98 | TensorShape tensorShape(Dimensionality::NotSpecified); |
| 99 | ret = TensorInfo(tensorShape, type); |
| 100 | } |
| 101 | else |
| 102 | { |
Mike Kelly | 60101b3 | 2023-07-31 12:43:02 +0100 | [diff] [blame] | 103 | std::vector<unsigned char> dimensionsSpecificity(operand.dimensions.size(), true); |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 104 | |
Mike Kelly | 60101b3 | 2023-07-31 12:43:02 +0100 | [diff] [blame] | 105 | for (unsigned int i = 0; i < static_cast<unsigned int>(operand.dimensions.size()); ++i) |
| 106 | { |
| 107 | auto dim = operand.dimensions[i]; |
| 108 | if (dim == 0) |
| 109 | { |
| 110 | dimensionsSpecificity[i] = false; |
| 111 | } |
| 112 | } |
| 113 | TensorShape tensorShape(operand.dimensions.size(), |
| 114 | operand.dimensions.data(), |
| 115 | reinterpret_cast<const bool *>(dimensionsSpecificity.data())); |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 116 | ret = TensorInfo(tensorShape, type); |
| 117 | } |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 118 | |
| 119 | ret.SetQuantizationScale(operand.scale); |
| 120 | ret.SetQuantizationOffset(operand.zeroPoint); |
| 121 | |
| 122 | return ret; |
| 123 | } |
| 124 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 125 | #if defined(ARMNN_ANDROID_NN_V1_2) || defined(ARMNN_ANDROID_NN_V1_3)// Using ::android::hardware::neuralnetworks::V1_2 |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 126 | |
| 127 | armnn::TensorInfo GetTensorInfoForOperand(const V1_2::Operand& operand) |
| 128 | { |
Aron Virginas-Tar | 9f0693b | 2019-11-06 14:32:30 +0000 | [diff] [blame] | 129 | using namespace armnn; |
Derek Lamberti | d00ad91 | 2020-01-22 15:55:16 +0000 | [diff] [blame] | 130 | bool perChannel = false; |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 131 | |
Aron Virginas-Tar | 9f0693b | 2019-11-06 14:32:30 +0000 | [diff] [blame] | 132 | DataType type; |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 133 | switch (operand.type) |
| 134 | { |
Sadik Armagan | 793a70c | 2020-03-19 13:54:04 +0000 | [diff] [blame] | 135 | case V1_2::OperandType::TENSOR_BOOL8: |
| 136 | type = armnn::DataType::Boolean; |
| 137 | break; |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 138 | case V1_2::OperandType::TENSOR_FLOAT32: |
| 139 | type = armnn::DataType::Float32; |
| 140 | break; |
Mike Kelly | 3c67394 | 2019-07-25 09:26:06 +0100 | [diff] [blame] | 141 | case V1_2::OperandType::TENSOR_FLOAT16: |
| 142 | type = armnn::DataType::Float16; |
| 143 | break; |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 144 | case V1_2::OperandType::TENSOR_QUANT8_ASYMM: |
Derek Lamberti | 1a38cda | 2020-01-10 17:28:20 +0000 | [diff] [blame] | 145 | type = armnn::DataType::QAsymmU8; |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 146 | break; |
Derek Lamberti | d00ad91 | 2020-01-22 15:55:16 +0000 | [diff] [blame] | 147 | case V1_2::OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL: |
| 148 | perChannel=true; |
| 149 | ARMNN_FALLTHROUGH; |
Mike Kelly | 0e2e31b | 2019-11-19 09:16:00 +0000 | [diff] [blame] | 150 | case V1_2::OperandType::TENSOR_QUANT8_SYMM: |
FinnWilliamsArm | 624fe9f | 2019-12-06 17:12:42 +0000 | [diff] [blame] | 151 | type = armnn::DataType::QSymmS8; |
Mike Kelly | 0e2e31b | 2019-11-19 09:16:00 +0000 | [diff] [blame] | 152 | break; |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 153 | case V1_2::OperandType::TENSOR_QUANT16_SYMM: |
Derek Lamberti | 1a38cda | 2020-01-10 17:28:20 +0000 | [diff] [blame] | 154 | type = armnn::DataType::QSymmS16; |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 155 | break; |
| 156 | case V1_2::OperandType::TENSOR_INT32: |
| 157 | type = armnn::DataType::Signed32; |
| 158 | break; |
| 159 | default: |
| 160 | throw UnsupportedOperand<V1_2::OperandType>(operand.type); |
| 161 | } |
| 162 | |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 163 | TensorInfo ret; |
| 164 | if (operand.dimensions.size() == 0) |
| 165 | { |
| 166 | TensorShape tensorShape(Dimensionality::NotSpecified); |
| 167 | ret = TensorInfo(tensorShape, type); |
| 168 | } |
| 169 | else |
| 170 | { |
| 171 | bool dimensionsSpecificity[5] = { true, true, true, true, true }; |
| 172 | int count = 0; |
| 173 | std::for_each(operand.dimensions.data(), |
| 174 | operand.dimensions.data() + operand.dimensions.size(), |
| 175 | [&](const unsigned int val) |
| 176 | { |
| 177 | if (val == 0) |
| 178 | { |
| 179 | dimensionsSpecificity[count] = false; |
| 180 | } |
| 181 | count++; |
| 182 | }); |
| 183 | |
| 184 | TensorShape tensorShape(operand.dimensions.size(), operand.dimensions.data(), dimensionsSpecificity); |
| 185 | ret = TensorInfo(tensorShape, type); |
| 186 | } |
| 187 | |
Derek Lamberti | d00ad91 | 2020-01-22 15:55:16 +0000 | [diff] [blame] | 188 | if (perChannel) |
Aron Virginas-Tar | 9f0693b | 2019-11-06 14:32:30 +0000 | [diff] [blame] | 189 | { |
Mike Kelly | e2d611e | 2021-10-14 12:35:58 +0100 | [diff] [blame] | 190 | if (operand.extraParams.getDiscriminator() != V1_2::Operand::ExtraParams::hidl_discriminator::channelQuant) |
| 191 | { |
| 192 | throw armnn::InvalidArgumentException("ExtraParams is expected to be of type channelQuant"); |
| 193 | } |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 194 | |
Aron Virginas-Tar | 9f0693b | 2019-11-06 14:32:30 +0000 | [diff] [blame] | 195 | auto perAxisQuantParams = operand.extraParams.channelQuant(); |
| 196 | |
| 197 | ret.SetQuantizationScales(perAxisQuantParams.scales); |
| 198 | ret.SetQuantizationDim(MakeOptional<unsigned int>(perAxisQuantParams.channelDim)); |
| 199 | } |
| 200 | else |
| 201 | { |
| 202 | ret.SetQuantizationScale(operand.scale); |
| 203 | ret.SetQuantizationOffset(operand.zeroPoint); |
| 204 | } |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 205 | |
| 206 | return ret; |
| 207 | } |
| 208 | |
| 209 | #endif |
| 210 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 211 | #ifdef ARMNN_ANDROID_NN_V1_3 // Using ::android::hardware::neuralnetworks::V1_3 |
| 212 | |
| 213 | armnn::TensorInfo GetTensorInfoForOperand(const V1_3::Operand& operand) |
| 214 | { |
| 215 | using namespace armnn; |
| 216 | bool perChannel = false; |
Teresa Charlin | 896572b | 2020-07-15 12:37:51 +0100 | [diff] [blame] | 217 | bool isScalar = false; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 218 | |
| 219 | DataType type; |
| 220 | switch (operand.type) |
| 221 | { |
Sadik Armagan | 51ba2c6 | 2020-03-31 15:36:25 +0100 | [diff] [blame] | 222 | case V1_3::OperandType::TENSOR_BOOL8: |
| 223 | type = armnn::DataType::Boolean; |
| 224 | break; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 225 | case V1_3::OperandType::TENSOR_FLOAT32: |
| 226 | type = armnn::DataType::Float32; |
| 227 | break; |
| 228 | case V1_3::OperandType::TENSOR_FLOAT16: |
| 229 | type = armnn::DataType::Float16; |
| 230 | break; |
| 231 | case V1_3::OperandType::TENSOR_QUANT8_ASYMM: |
| 232 | type = armnn::DataType::QAsymmU8; |
| 233 | break; |
| 234 | case V1_3::OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL: |
| 235 | perChannel=true; |
| 236 | ARMNN_FALLTHROUGH; |
| 237 | case V1_3::OperandType::TENSOR_QUANT8_SYMM: |
| 238 | type = armnn::DataType::QSymmS8; |
| 239 | break; |
| 240 | case V1_3::OperandType::TENSOR_QUANT16_SYMM: |
| 241 | type = armnn::DataType::QSymmS16; |
| 242 | break; |
| 243 | case V1_3::OperandType::TENSOR_INT32: |
| 244 | type = armnn::DataType::Signed32; |
| 245 | break; |
Finn Williams | fc884b4 | 2020-06-11 17:35:44 +0100 | [diff] [blame] | 246 | case V1_3::OperandType::INT32: |
| 247 | type = armnn::DataType::Signed32; |
Teresa Charlin | 896572b | 2020-07-15 12:37:51 +0100 | [diff] [blame] | 248 | isScalar = true; |
Finn Williams | fc884b4 | 2020-06-11 17:35:44 +0100 | [diff] [blame] | 249 | break; |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 250 | case V1_3::OperandType::TENSOR_QUANT8_ASYMM_SIGNED: |
| 251 | type = armnn::DataType::QAsymmS8; |
| 252 | break; |
| 253 | default: |
| 254 | throw UnsupportedOperand<V1_3::OperandType>(operand.type); |
| 255 | } |
| 256 | |
Finn Williams | fc884b4 | 2020-06-11 17:35:44 +0100 | [diff] [blame] | 257 | TensorInfo ret; |
Teresa Charlin | 896572b | 2020-07-15 12:37:51 +0100 | [diff] [blame] | 258 | if (isScalar) |
Finn Williams | fc884b4 | 2020-06-11 17:35:44 +0100 | [diff] [blame] | 259 | { |
Teresa Charlin | 896572b | 2020-07-15 12:37:51 +0100 | [diff] [blame] | 260 | ret = TensorInfo(TensorShape(armnn::Dimensionality::Scalar), type); |
Finn Williams | fc884b4 | 2020-06-11 17:35:44 +0100 | [diff] [blame] | 261 | } |
| 262 | else |
| 263 | { |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 264 | if (operand.dimensions.size() == 0) |
| 265 | { |
| 266 | TensorShape tensorShape(Dimensionality::NotSpecified); |
| 267 | ret = TensorInfo(tensorShape, type); |
| 268 | } |
| 269 | else |
| 270 | { |
| 271 | bool dimensionsSpecificity[5] = { true, true, true, true, true }; |
| 272 | int count = 0; |
| 273 | std::for_each(operand.dimensions.data(), |
| 274 | operand.dimensions.data() + operand.dimensions.size(), |
| 275 | [&](const unsigned int val) |
| 276 | { |
| 277 | if (val == 0) |
| 278 | { |
| 279 | dimensionsSpecificity[count] = false; |
| 280 | } |
| 281 | count++; |
| 282 | }); |
| 283 | |
| 284 | TensorShape tensorShape(operand.dimensions.size(), operand.dimensions.data(), dimensionsSpecificity); |
| 285 | ret = TensorInfo(tensorShape, type); |
| 286 | } |
Finn Williams | fc884b4 | 2020-06-11 17:35:44 +0100 | [diff] [blame] | 287 | } |
| 288 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 289 | if (perChannel) |
| 290 | { |
| 291 | // ExtraParams is expected to be of type channelQuant |
Mike Kelly | e2d611e | 2021-10-14 12:35:58 +0100 | [diff] [blame] | 292 | if (operand.extraParams.getDiscriminator() != V1_2::Operand::ExtraParams::hidl_discriminator::channelQuant) |
| 293 | { |
| 294 | throw armnn::InvalidArgumentException("ExtraParams is expected to be of type channelQuant"); |
| 295 | } |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 296 | auto perAxisQuantParams = operand.extraParams.channelQuant(); |
| 297 | |
| 298 | ret.SetQuantizationScales(perAxisQuantParams.scales); |
| 299 | ret.SetQuantizationDim(MakeOptional<unsigned int>(perAxisQuantParams.channelDim)); |
| 300 | } |
| 301 | else |
| 302 | { |
| 303 | ret.SetQuantizationScale(operand.scale); |
| 304 | ret.SetQuantizationOffset(operand.zeroPoint); |
| 305 | } |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 306 | return ret; |
| 307 | } |
| 308 | |
| 309 | #endif |
| 310 | |
Matthew Bentham | 912b362 | 2019-05-03 15:49:14 +0100 | [diff] [blame] | 311 | std::string GetOperandSummary(const V1_0::Operand& operand) |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 312 | { |
| 313 | return android::hardware::details::arrayToString(operand.dimensions, operand.dimensions.size()) + " " + |
| 314 | toString(operand.type); |
| 315 | } |
| 316 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 317 | #if defined(ARMNN_ANDROID_NN_V1_2) || defined(ARMNN_ANDROID_NN_V1_3) // Using ::android::hardware::neuralnetworks::V1_2 |
Mike Kelly | b5fdf38 | 2019-06-11 16:35:25 +0100 | [diff] [blame] | 318 | |
| 319 | std::string GetOperandSummary(const V1_2::Operand& operand) |
| 320 | { |
| 321 | return android::hardware::details::arrayToString(operand.dimensions, operand.dimensions.size()) + " " + |
| 322 | toString(operand.type); |
| 323 | } |
| 324 | |
| 325 | #endif |
| 326 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 327 | #ifdef ARMNN_ANDROID_NN_V1_3 // Using ::android::hardware::neuralnetworks::V1_3 |
| 328 | |
| 329 | std::string GetOperandSummary(const V1_3::Operand& operand) |
| 330 | { |
| 331 | return android::hardware::details::arrayToString(operand.dimensions, operand.dimensions.size()) + " " + |
| 332 | toString(operand.type); |
| 333 | } |
| 334 | |
| 335 | #endif |
| 336 | |
Mike Kelly | 37c3e50 | 2021-11-09 15:43:37 +0000 | [diff] [blame] | 337 | template <typename TensorType> |
| 338 | using DumpElementFunction = void (*)(const TensorType& tensor, |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 339 | unsigned int elementIndex, |
| 340 | std::ofstream& fileStream); |
| 341 | |
| 342 | namespace |
| 343 | { |
Mike Kelly | 37c3e50 | 2021-11-09 15:43:37 +0000 | [diff] [blame] | 344 | template <typename TensorType, typename ElementType, typename PrintableType = ElementType> |
| 345 | void DumpTensorElement(const TensorType& tensor, unsigned int elementIndex, std::ofstream& fileStream) |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 346 | { |
| 347 | const ElementType* elements = reinterpret_cast<const ElementType*>(tensor.GetMemoryArea()); |
Teresa Charlin | 32fe97e | 2021-03-08 19:28:24 +0000 | [diff] [blame] | 348 | fileStream << static_cast<PrintableType>(elements[elementIndex]) << " "; |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 349 | } |
| 350 | |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 351 | } // namespace |
| 352 | |
Mike Kelly | 37c3e50 | 2021-11-09 15:43:37 +0000 | [diff] [blame] | 353 | template <typename TensorType> |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 354 | void DumpTensor(const std::string& dumpDir, |
| 355 | const std::string& requestName, |
| 356 | const std::string& tensorName, |
Mike Kelly | 37c3e50 | 2021-11-09 15:43:37 +0000 | [diff] [blame] | 357 | const TensorType& tensor) |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 358 | { |
| 359 | // The dump directory must exist in advance. |
Colm Donelan | 08d9a1c | 2020-09-09 17:56:55 +0100 | [diff] [blame] | 360 | fs::path dumpPath = dumpDir; |
| 361 | const fs::path fileName = dumpPath / (requestName + "_" + tensorName + ".dump"); |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 362 | |
| 363 | std::ofstream fileStream; |
Colm Donelan | 08d9a1c | 2020-09-09 17:56:55 +0100 | [diff] [blame] | 364 | fileStream.open(fileName.c_str(), std::ofstream::out | std::ofstream::trunc); |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 365 | |
| 366 | if (!fileStream.good()) |
| 367 | { |
| 368 | ALOGW("Could not open file %s for writing", fileName.c_str()); |
| 369 | return; |
| 370 | } |
| 371 | |
Mike Kelly | 37c3e50 | 2021-11-09 15:43:37 +0000 | [diff] [blame] | 372 | DumpElementFunction<TensorType> dumpElementFunction = nullptr; |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 373 | |
| 374 | switch (tensor.GetDataType()) |
| 375 | { |
| 376 | case armnn::DataType::Float32: |
| 377 | { |
Mike Kelly | 37c3e50 | 2021-11-09 15:43:37 +0000 | [diff] [blame] | 378 | dumpElementFunction = &DumpTensorElement<TensorType, float>; |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 379 | break; |
| 380 | } |
Derek Lamberti | 1a38cda | 2020-01-10 17:28:20 +0000 | [diff] [blame] | 381 | case armnn::DataType::QAsymmU8: |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 382 | { |
Mike Kelly | 37c3e50 | 2021-11-09 15:43:37 +0000 | [diff] [blame] | 383 | dumpElementFunction = &DumpTensorElement<TensorType, uint8_t, uint32_t>; |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 384 | break; |
| 385 | } |
| 386 | case armnn::DataType::Signed32: |
| 387 | { |
Mike Kelly | 37c3e50 | 2021-11-09 15:43:37 +0000 | [diff] [blame] | 388 | dumpElementFunction = &DumpTensorElement<TensorType, int32_t>; |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 389 | break; |
| 390 | } |
Jim Flynn | f2e175c | 2019-12-12 15:11:30 +0000 | [diff] [blame] | 391 | case armnn::DataType::Float16: |
| 392 | { |
Mike Kelly | 37c3e50 | 2021-11-09 15:43:37 +0000 | [diff] [blame] | 393 | dumpElementFunction = &DumpTensorElement<TensorType, armnn::Half>; |
Jim Flynn | f2e175c | 2019-12-12 15:11:30 +0000 | [diff] [blame] | 394 | break; |
| 395 | } |
Teresa Charlin | b248ec1 | 2020-04-30 11:06:34 +0100 | [diff] [blame] | 396 | case armnn::DataType::QAsymmS8: |
| 397 | { |
Mike Kelly | 37c3e50 | 2021-11-09 15:43:37 +0000 | [diff] [blame] | 398 | dumpElementFunction = &DumpTensorElement<TensorType, int8_t, int32_t>; |
Teresa Charlin | b248ec1 | 2020-04-30 11:06:34 +0100 | [diff] [blame] | 399 | break; |
| 400 | } |
| 401 | case armnn::DataType::Boolean: |
| 402 | { |
Mike Kelly | 37c3e50 | 2021-11-09 15:43:37 +0000 | [diff] [blame] | 403 | dumpElementFunction = &DumpTensorElement<TensorType, bool>; |
Teresa Charlin | b248ec1 | 2020-04-30 11:06:34 +0100 | [diff] [blame] | 404 | break; |
| 405 | } |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 406 | default: |
| 407 | { |
| 408 | dumpElementFunction = nullptr; |
| 409 | } |
| 410 | } |
| 411 | |
| 412 | if (dumpElementFunction != nullptr) |
| 413 | { |
| 414 | const unsigned int numDimensions = tensor.GetNumDimensions(); |
Teresa Charlin | 32fe97e | 2021-03-08 19:28:24 +0000 | [diff] [blame] | 415 | const armnn::TensorShape shape = tensor.GetShape(); |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 416 | |
Mike Kelly | 7780e60 | 2021-04-26 21:54:55 +0100 | [diff] [blame] | 417 | if (!shape.AreAllDimensionsSpecified()) |
| 418 | { |
| 419 | fileStream << "Cannot dump tensor elements: not all dimensions are specified" << std::endl; |
| 420 | return; |
| 421 | } |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 422 | fileStream << "# Number of elements " << tensor.GetNumElements() << std::endl; |
Mike Kelly | 7780e60 | 2021-04-26 21:54:55 +0100 | [diff] [blame] | 423 | |
| 424 | if (numDimensions == 0) |
| 425 | { |
| 426 | fileStream << "# Shape []" << std::endl; |
| 427 | return; |
| 428 | } |
Teresa Charlin | 32fe97e | 2021-03-08 19:28:24 +0000 | [diff] [blame] | 429 | fileStream << "# Shape [" << shape[0]; |
| 430 | for (unsigned int d = 1; d < numDimensions; ++d) |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 431 | { |
Teresa Charlin | 32fe97e | 2021-03-08 19:28:24 +0000 | [diff] [blame] | 432 | fileStream << "," << shape[d]; |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 433 | } |
| 434 | fileStream << "]" << std::endl; |
Teresa Charlin | 32fe97e | 2021-03-08 19:28:24 +0000 | [diff] [blame] | 435 | fileStream << "Each line contains the data of each of the elements of dimension0. In NCHW and NHWC, each line" |
| 436 | " will be a batch" << std::endl << std::endl; |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 437 | |
Teresa Charlin | 32fe97e | 2021-03-08 19:28:24 +0000 | [diff] [blame] | 438 | // Split will create a new line after all elements of the first dimension |
| 439 | // (in a 4, 3, 2, 3 tensor, there will be 4 lines of 18 elements) |
| 440 | unsigned int split = 1; |
| 441 | if (numDimensions == 1) |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 442 | { |
Teresa Charlin | 32fe97e | 2021-03-08 19:28:24 +0000 | [diff] [blame] | 443 | split = shape[0]; |
| 444 | } |
| 445 | else |
| 446 | { |
| 447 | for (unsigned int i = 1; i < numDimensions; ++i) |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 448 | { |
Teresa Charlin | 32fe97e | 2021-03-08 19:28:24 +0000 | [diff] [blame] | 449 | split *= shape[i]; |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 450 | } |
Teresa Charlin | 32fe97e | 2021-03-08 19:28:24 +0000 | [diff] [blame] | 451 | } |
| 452 | |
| 453 | // Print all elements in the tensor |
| 454 | for (unsigned int elementIndex = 0; elementIndex < tensor.GetNumElements(); ++elementIndex) |
| 455 | { |
| 456 | (*dumpElementFunction)(tensor, elementIndex, fileStream); |
| 457 | |
| 458 | if ( (elementIndex + 1) % split == 0 ) |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 459 | { |
Teresa Charlin | 32fe97e | 2021-03-08 19:28:24 +0000 | [diff] [blame] | 460 | fileStream << std::endl; |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 461 | } |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 462 | } |
| 463 | fileStream << std::endl; |
| 464 | } |
| 465 | else |
| 466 | { |
| 467 | fileStream << "Cannot dump tensor elements: Unsupported data type " |
| 468 | << static_cast<unsigned int>(tensor.GetDataType()) << std::endl; |
| 469 | } |
| 470 | |
| 471 | if (!fileStream.good()) |
| 472 | { |
| 473 | ALOGW("An error occurred when writing to file %s", fileName.c_str()); |
| 474 | } |
| 475 | } |
| 476 | |
Mike Kelly | 37c3e50 | 2021-11-09 15:43:37 +0000 | [diff] [blame] | 477 | |
| 478 | template void DumpTensor<armnn::ConstTensor>(const std::string& dumpDir, |
| 479 | const std::string& requestName, |
| 480 | const std::string& tensorName, |
| 481 | const armnn::ConstTensor& tensor); |
| 482 | |
| 483 | template void DumpTensor<armnn::Tensor>(const std::string& dumpDir, |
| 484 | const std::string& requestName, |
| 485 | const std::string& tensorName, |
| 486 | const armnn::Tensor& tensor); |
| 487 | |
telsoa01 | ce3e84a | 2018-08-31 09:31:35 +0100 | [diff] [blame] | 488 | void DumpJsonProfilingIfRequired(bool gpuProfilingEnabled, |
| 489 | const std::string& dumpDir, |
| 490 | armnn::NetworkId networkId, |
| 491 | const armnn::IProfiler* profiler) |
| 492 | { |
| 493 | // Check if profiling is required. |
| 494 | if (!gpuProfilingEnabled) |
| 495 | { |
| 496 | return; |
| 497 | } |
| 498 | |
| 499 | // The dump directory must exist in advance. |
| 500 | if (dumpDir.empty()) |
| 501 | { |
| 502 | return; |
| 503 | } |
| 504 | |
Mike Kelly | e2d611e | 2021-10-14 12:35:58 +0100 | [diff] [blame] | 505 | if (!profiler) |
| 506 | { |
| 507 | ALOGW("profiler was null"); |
| 508 | return; |
| 509 | } |
telsoa01 | ce3e84a | 2018-08-31 09:31:35 +0100 | [diff] [blame] | 510 | |
| 511 | // Set the name of the output profiling file. |
Colm Donelan | 08d9a1c | 2020-09-09 17:56:55 +0100 | [diff] [blame] | 512 | fs::path dumpPath = dumpDir; |
| 513 | const fs::path fileName = dumpPath / (std::to_string(networkId) + "_profiling.json"); |
telsoa01 | ce3e84a | 2018-08-31 09:31:35 +0100 | [diff] [blame] | 514 | |
| 515 | // Open the ouput file for writing. |
| 516 | std::ofstream fileStream; |
Colm Donelan | 08d9a1c | 2020-09-09 17:56:55 +0100 | [diff] [blame] | 517 | fileStream.open(fileName.c_str(), std::ofstream::out | std::ofstream::trunc); |
telsoa01 | ce3e84a | 2018-08-31 09:31:35 +0100 | [diff] [blame] | 518 | |
| 519 | if (!fileStream.good()) |
| 520 | { |
| 521 | ALOGW("Could not open file %s for writing", fileName.c_str()); |
| 522 | return; |
| 523 | } |
| 524 | |
| 525 | // Write the profiling info to a JSON file. |
| 526 | profiler->Print(fileStream); |
| 527 | } |
| 528 | |
Jim Flynn | 829ad30 | 2019-12-13 14:43:24 +0000 | [diff] [blame] | 529 | std::string ExportNetworkGraphToDotFile(const armnn::IOptimizedNetwork& optimizedNetwork, |
| 530 | const std::string& dumpDir) |
| 531 | { |
| 532 | std::string fileName; |
| 533 | // The dump directory must exist in advance. |
| 534 | if (dumpDir.empty()) |
| 535 | { |
| 536 | return fileName; |
| 537 | } |
| 538 | |
| 539 | std::string timestamp = GetFileTimestamp(); |
| 540 | if (timestamp.empty()) |
| 541 | { |
| 542 | return fileName; |
| 543 | } |
| 544 | |
| 545 | // Set the name of the output .dot file. |
Colm Donelan | 08d9a1c | 2020-09-09 17:56:55 +0100 | [diff] [blame] | 546 | fs::path dumpPath = dumpDir; |
| 547 | fs::path tempFilePath = dumpPath / (timestamp + "_networkgraph.dot"); |
| 548 | fileName = tempFilePath.string(); |
Jim Flynn | 829ad30 | 2019-12-13 14:43:24 +0000 | [diff] [blame] | 549 | |
| 550 | ALOGV("Exporting the optimized network graph to file: %s", fileName.c_str()); |
| 551 | |
| 552 | // Write the network graph to a dot file. |
| 553 | std::ofstream fileStream; |
| 554 | fileStream.open(fileName, std::ofstream::out | std::ofstream::trunc); |
| 555 | |
| 556 | if (!fileStream.good()) |
| 557 | { |
| 558 | ALOGW("Could not open file %s for writing", fileName.c_str()); |
| 559 | return fileName; |
| 560 | } |
| 561 | |
| 562 | if (optimizedNetwork.SerializeToDot(fileStream) != armnn::Status::Success) |
| 563 | { |
| 564 | ALOGW("An error occurred when writing to file %s", fileName.c_str()); |
| 565 | } |
| 566 | return fileName; |
| 567 | } |
| 568 | |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 569 | std::string SerializeNetwork(const armnn::INetwork& network, |
| 570 | const std::string& dumpDir, |
| 571 | std::vector<uint8_t>& dataCacheData, |
| 572 | bool dataCachingActive) |
Sadik Armagan | b302143 | 2021-01-13 15:56:51 +0000 | [diff] [blame] | 573 | { |
| 574 | std::string fileName; |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 575 | bool bSerializeToFile = true; |
Sadik Armagan | b302143 | 2021-01-13 15:56:51 +0000 | [diff] [blame] | 576 | if (dumpDir.empty()) |
| 577 | { |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 578 | bSerializeToFile = false; |
Sadik Armagan | b302143 | 2021-01-13 15:56:51 +0000 | [diff] [blame] | 579 | } |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 580 | else |
| 581 | { |
| 582 | std::string timestamp = GetFileTimestamp(); |
| 583 | if (timestamp.empty()) |
| 584 | { |
| 585 | bSerializeToFile = false; |
| 586 | } |
| 587 | } |
| 588 | if (!bSerializeToFile && !dataCachingActive) |
Sadik Armagan | b302143 | 2021-01-13 15:56:51 +0000 | [diff] [blame] | 589 | { |
| 590 | return fileName; |
| 591 | } |
| 592 | |
| 593 | auto serializer(armnnSerializer::ISerializer::Create()); |
Sadik Armagan | b302143 | 2021-01-13 15:56:51 +0000 | [diff] [blame] | 594 | // Serialize the Network |
| 595 | serializer->Serialize(network); |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 596 | if (dataCachingActive) |
Sadik Armagan | b302143 | 2021-01-13 15:56:51 +0000 | [diff] [blame] | 597 | { |
Sadik Armagan | 0a2dfab | 2021-10-06 16:41:44 +0100 | [diff] [blame] | 598 | std::stringstream stream; |
| 599 | auto serialized = serializer->SaveSerializedToStream(stream); |
| 600 | if (serialized) |
| 601 | { |
| 602 | std::string const serializedString{stream.str()}; |
| 603 | std::copy(serializedString.begin(), serializedString.end(), std::back_inserter(dataCacheData)); |
| 604 | } |
| 605 | } |
| 606 | |
| 607 | if (bSerializeToFile) |
| 608 | { |
| 609 | // Set the name of the output .armnn file. |
| 610 | fs::path dumpPath = dumpDir; |
| 611 | std::string timestamp = GetFileTimestamp(); |
| 612 | fs::path tempFilePath = dumpPath / (timestamp + "_network.armnn"); |
| 613 | fileName = tempFilePath.string(); |
| 614 | |
| 615 | // Save serialized network to a file |
| 616 | std::ofstream serializedFile(fileName, std::ios::out | std::ios::binary); |
| 617 | auto serialized = serializer->SaveSerializedToStream(serializedFile); |
| 618 | if (!serialized) |
| 619 | { |
| 620 | ALOGW("An error occurred when serializing to file %s", fileName.c_str()); |
| 621 | } |
Sadik Armagan | b302143 | 2021-01-13 15:56:51 +0000 | [diff] [blame] | 622 | } |
| 623 | return fileName; |
| 624 | } |
| 625 | |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 626 | bool IsDynamicTensor(const armnn::TensorInfo& tensorInfo) |
Aron Virginas-Tar | 573a8fa | 2019-07-23 14:01:37 +0100 | [diff] [blame] | 627 | { |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 628 | if (tensorInfo.GetShape().GetDimensionality() == armnn::Dimensionality::NotSpecified) |
| 629 | { |
| 630 | return true; |
| 631 | } |
Teresa Charlin | 4bd9a74 | 2020-08-12 12:58:50 +0100 | [diff] [blame] | 632 | // Account for the usage of the TensorShape empty constructor |
| 633 | if (tensorInfo.GetNumDimensions() == 0) |
| 634 | { |
| 635 | return true; |
| 636 | } |
Finn Williams | a4983ce | 2020-07-23 12:55:12 +0100 | [diff] [blame] | 637 | return !tensorInfo.GetShape().AreAllDimensionsSpecified(); |
| 638 | } |
| 639 | |
| 640 | bool AreDynamicTensorsSupported() |
| 641 | { |
| 642 | #if defined(ARMNN_ANDROID_NN_V1_3) |
| 643 | return true; |
| 644 | #else |
| 645 | return false; |
| 646 | #endif |
Aron Virginas-Tar | 573a8fa | 2019-07-23 14:01:37 +0100 | [diff] [blame] | 647 | } |
| 648 | |
Teresa Charlin | d3381d5 | 2021-06-02 18:35:16 +0100 | [diff] [blame] | 649 | bool isQuantizedOperand(const V1_0::OperandType& operandType) |
| 650 | { |
| 651 | if (operandType == V1_0::OperandType::TENSOR_QUANT8_ASYMM) |
| 652 | { |
| 653 | return true; |
| 654 | } |
| 655 | else |
| 656 | { |
| 657 | return false; |
| 658 | } |
| 659 | } |
| 660 | |
| 661 | #if defined(ARMNN_ANDROID_NN_V1_2) || defined(ARMNN_ANDROID_NN_V1_3)// Using ::android::hardware::neuralnetworks::V1_2 |
| 662 | bool isQuantizedOperand(const V1_2::OperandType& operandType) |
| 663 | { |
| 664 | if (operandType == V1_2::OperandType::TENSOR_QUANT8_ASYMM || |
| 665 | operandType == V1_2::OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL || |
| 666 | operandType == V1_2::OperandType::TENSOR_QUANT8_SYMM || |
| 667 | operandType == V1_2::OperandType::TENSOR_QUANT16_SYMM ) |
| 668 | { |
| 669 | return true; |
| 670 | } |
| 671 | else |
| 672 | { |
| 673 | return false; |
| 674 | } |
| 675 | } |
| 676 | #endif |
| 677 | |
| 678 | #ifdef ARMNN_ANDROID_NN_V1_3 // Using ::android::hardware::neuralnetworks::V1_3 |
| 679 | bool isQuantizedOperand(const V1_3::OperandType& operandType) |
| 680 | { |
| 681 | if (operandType == V1_3::OperandType::TENSOR_QUANT8_ASYMM || |
| 682 | operandType == V1_3::OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL || |
| 683 | operandType == V1_3::OperandType::TENSOR_QUANT8_SYMM || |
| 684 | operandType == V1_3::OperandType::TENSOR_QUANT16_SYMM || |
| 685 | operandType == V1_3::OperandType::TENSOR_QUANT8_ASYMM_SIGNED) |
| 686 | { |
| 687 | return true; |
| 688 | } |
| 689 | else |
| 690 | { |
| 691 | return false; |
| 692 | } |
| 693 | } |
| 694 | #endif |
| 695 | |
Jim Flynn | 829ad30 | 2019-12-13 14:43:24 +0000 | [diff] [blame] | 696 | std::string GetFileTimestamp() |
| 697 | { |
| 698 | // used to get a timestamp to name diagnostic files (the ArmNN serialized graph |
| 699 | // and getSupportedOperations.txt files) |
| 700 | timespec ts; |
| 701 | int iRet = clock_gettime(CLOCK_MONOTONIC_RAW, &ts); |
| 702 | std::stringstream ss; |
| 703 | if (iRet == 0) |
| 704 | { |
| 705 | ss << std::to_string(ts.tv_sec) << "_" << std::to_string(ts.tv_nsec); |
| 706 | } |
| 707 | else |
| 708 | { |
| 709 | ALOGW("clock_gettime failed with errno %s : %s", std::to_string(errno).c_str(), std::strerror(errno)); |
| 710 | } |
| 711 | return ss.str(); |
| 712 | } |
| 713 | |
Sadik Armagan | b302143 | 2021-01-13 15:56:51 +0000 | [diff] [blame] | 714 | void RenameExportedFiles(const std::string& existingSerializedFileName, |
| 715 | const std::string& existingDotFileName, |
| 716 | const std::string& dumpDir, |
| 717 | const armnn::NetworkId networkId) |
Jim Flynn | 829ad30 | 2019-12-13 14:43:24 +0000 | [diff] [blame] | 718 | { |
| 719 | if (dumpDir.empty()) |
| 720 | { |
| 721 | return; |
| 722 | } |
Sadik Armagan | b302143 | 2021-01-13 15:56:51 +0000 | [diff] [blame] | 723 | RenameFile(existingSerializedFileName, std::string("_network.armnn"), dumpDir, networkId); |
| 724 | RenameFile(existingDotFileName, std::string("_networkgraph.dot"), dumpDir, networkId); |
| 725 | } |
| 726 | |
| 727 | void RenameFile(const std::string& existingName, |
| 728 | const std::string& extension, |
| 729 | const std::string& dumpDir, |
| 730 | const armnn::NetworkId networkId) |
| 731 | { |
| 732 | if (existingName.empty() || dumpDir.empty()) |
Jim Flynn | 829ad30 | 2019-12-13 14:43:24 +0000 | [diff] [blame] | 733 | { |
| 734 | return; |
| 735 | } |
Colm Donelan | 08d9a1c | 2020-09-09 17:56:55 +0100 | [diff] [blame] | 736 | |
Sadik Armagan | b302143 | 2021-01-13 15:56:51 +0000 | [diff] [blame] | 737 | fs::path dumpPath = dumpDir; |
| 738 | const fs::path newFileName = dumpPath / (std::to_string(networkId) + extension); |
| 739 | int iRet = rename(existingName.c_str(), newFileName.c_str()); |
Jim Flynn | 829ad30 | 2019-12-13 14:43:24 +0000 | [diff] [blame] | 740 | if (iRet != 0) |
| 741 | { |
| 742 | std::stringstream ss; |
Sadik Armagan | b302143 | 2021-01-13 15:56:51 +0000 | [diff] [blame] | 743 | ss << "rename of [" << existingName << "] to [" << newFileName << "] failed with errno " |
| 744 | << std::to_string(errno) << " : " << std::strerror(errno); |
Jim Flynn | 829ad30 | 2019-12-13 14:43:24 +0000 | [diff] [blame] | 745 | ALOGW(ss.str().c_str()); |
| 746 | } |
| 747 | } |
| 748 | |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 749 | void CommitPools(std::vector<::android::nn::RunTimePoolInfo>& memPools) |
| 750 | { |
| 751 | if (memPools.empty()) |
| 752 | { |
| 753 | return; |
| 754 | } |
| 755 | // Commit output buffers. |
| 756 | // Note that we update *all* pools, even if they aren't actually used as outputs - |
| 757 | // this is simpler and is what the CpuExecutor does. |
| 758 | for (auto& pool : memPools) |
| 759 | { |
| 760 | // Type android::nn::RunTimePoolInfo has changed between Android P & Q and Android R, where |
| 761 | // update() has been removed and flush() added. |
Sadik Armagan | 188675f | 2021-02-12 17:16:42 +0000 | [diff] [blame] | 762 | #if defined(ARMNN_ANDROID_R) || defined(ARMNN_ANDROID_S) // Use the new Android implementation. |
Kevin May | 42477c1 | 2020-03-26 13:34:14 +0000 | [diff] [blame] | 763 | pool.flush(); |
| 764 | #else |
| 765 | pool.update(); |
| 766 | #endif |
| 767 | } |
| 768 | } |
Mike Kelly | de54716 | 2023-03-08 10:08:20 +0000 | [diff] [blame] | 769 | |
| 770 | size_t GetSize(const V1_0::Request& request, const V1_0::RequestArgument& requestArgument) |
| 771 | { |
| 772 | return request.pools[requestArgument.location.poolIndex].size(); |
| 773 | } |
| 774 | |
| 775 | #ifdef ARMNN_ANDROID_NN_V1_3 |
| 776 | size_t GetSize(const V1_3::Request& request, const V1_0::RequestArgument& requestArgument) |
| 777 | { |
| 778 | if (request.pools[requestArgument.location.poolIndex].getDiscriminator() == |
| 779 | V1_3::Request::MemoryPool::hidl_discriminator::hidlMemory) |
| 780 | { |
| 781 | return request.pools[requestArgument.location.poolIndex].hidlMemory().size(); |
| 782 | } |
| 783 | else |
| 784 | { |
| 785 | return 0; |
| 786 | } |
| 787 | } |
| 788 | #endif |
| 789 | |
| 790 | template <typename ErrorStatus, typename Request> |
| 791 | ErrorStatus ValidateRequestArgument(const Request& request, |
| 792 | const armnn::TensorInfo& tensorInfo, |
| 793 | const V1_0::RequestArgument& requestArgument, |
| 794 | std::string descString) |
| 795 | { |
| 796 | if (requestArgument.location.poolIndex >= request.pools.size()) |
| 797 | { |
| 798 | std::string err = fmt::format("Invalid {} pool at index {} the pool index is greater than the number " |
| 799 | "of available pools {}", |
| 800 | descString, requestArgument.location.poolIndex, request.pools.size()); |
| 801 | ALOGE(err.c_str()); |
| 802 | return ErrorStatus::GENERAL_FAILURE; |
| 803 | } |
| 804 | const size_t size = GetSize(request, requestArgument); |
| 805 | size_t totalLength = tensorInfo.GetNumBytes(); |
| 806 | |
| 807 | if (static_cast<size_t>(requestArgument.location.offset) + totalLength > size) |
| 808 | { |
| 809 | std::string err = fmt::format("Invalid {} pool at index {} the offset {} and length {} are greater " |
| 810 | "than the pool size {}", descString, requestArgument.location.poolIndex, |
| 811 | requestArgument.location.offset, totalLength, size); |
| 812 | ALOGE(err.c_str()); |
| 813 | return ErrorStatus::GENERAL_FAILURE; |
| 814 | } |
| 815 | return ErrorStatus::NONE; |
| 816 | } |
| 817 | |
| 818 | template V1_0::ErrorStatus ValidateRequestArgument<V1_0::ErrorStatus, V1_0::Request>( |
| 819 | const V1_0::Request& request, |
| 820 | const armnn::TensorInfo& tensorInfo, |
| 821 | const V1_0::RequestArgument& requestArgument, |
| 822 | std::string descString); |
| 823 | |
| 824 | #ifdef ARMNN_ANDROID_NN_V1_3 |
| 825 | template V1_3::ErrorStatus ValidateRequestArgument<V1_3::ErrorStatus, V1_3::Request>( |
| 826 | const V1_3::Request& request, |
| 827 | const armnn::TensorInfo& tensorInfo, |
| 828 | const V1_0::RequestArgument& requestArgument, |
| 829 | std::string descString); |
| 830 | #endif |
| 831 | |
telsoa01 | 5307bc1 | 2018-03-09 13:51:08 +0000 | [diff] [blame] | 832 | } // namespace armnn_driver |