arovir01 | b0717b5 | 2018-09-05 17:03:25 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "HalPolicy.hpp" |
| 7 | |
| 8 | #include "../1.0/HalPolicy.hpp" |
| 9 | |
Éanna Ó Catháin | 2fc21f7 | 2019-05-13 11:01:33 +0100 | [diff] [blame] | 10 | namespace |
| 11 | { |
| 12 | static std::vector<V1_0::OperationType> opsEquivalentInV10({ |
| 13 | V1_0::OperationType::ADD, |
| 14 | V1_0::OperationType::AVERAGE_POOL_2D, |
| 15 | V1_0::OperationType::CONCATENATION, |
| 16 | V1_0::OperationType::CONV_2D, |
| 17 | V1_0::OperationType::DEPTHWISE_CONV_2D, |
David Monahan | d5bfae1 | 2019-05-30 12:07:44 +0100 | [diff] [blame] | 18 | V1_0::OperationType::DEQUANTIZE, |
Éanna Ó Catháin | 2fc21f7 | 2019-05-13 11:01:33 +0100 | [diff] [blame] | 19 | V1_0::OperationType::FLOOR, |
| 20 | V1_0::OperationType::FULLY_CONNECTED, |
| 21 | V1_0::OperationType::LOCAL_RESPONSE_NORMALIZATION, |
| 22 | V1_0::OperationType::LOGISTIC, |
| 23 | V1_0::OperationType::LSTM, |
| 24 | V1_0::OperationType::L2_NORMALIZATION, |
| 25 | V1_0::OperationType::L2_POOL_2D, |
| 26 | V1_0::OperationType::MAX_POOL_2D, |
| 27 | V1_0::OperationType::MUL, |
| 28 | V1_0::OperationType::RELU, |
| 29 | V1_0::OperationType::RELU1, |
| 30 | V1_0::OperationType::RELU6, |
| 31 | V1_0::OperationType::SOFTMAX, |
Keith Davis | a6bc52f | 2019-06-26 09:39:49 +0100 | [diff] [blame] | 32 | V1_0::OperationType::SPACE_TO_DEPTH, |
Éanna Ó Catháin | 2fc21f7 | 2019-05-13 11:01:33 +0100 | [diff] [blame] | 33 | V1_0::OperationType::TANH, |
| 34 | V1_0::OperationType::RESHAPE, |
| 35 | V1_0::OperationType::RESIZE_BILINEAR, |
| 36 | }); |
| 37 | |
| 38 | bool CompliantWithVersion10(const V1_1::Operation & operation) |
| 39 | { |
| 40 | std::vector<V1_0::OperationType>::iterator it; |
| 41 | it = std::find(opsEquivalentInV10.begin(), opsEquivalentInV10.end(), |
| 42 | static_cast<V1_0::OperationType>(operation.type)); |
| 43 | |
| 44 | if(it != opsEquivalentInV10.end()) |
| 45 | { |
| 46 | return true; |
| 47 | } |
| 48 | return false; |
| 49 | } |
| 50 | |
| 51 | V1_0::Operation ConvertOperationToVersion10(const V1_1::Operation & operation) |
| 52 | { |
| 53 | V1_0::Operation v10Operation; |
| 54 | v10Operation.type = static_cast<V1_0::OperationType>(operation.type); |
| 55 | v10Operation.inputs = operation.inputs; |
| 56 | v10Operation.outputs = operation.outputs; |
| 57 | return v10Operation; |
| 58 | } |
| 59 | } |
| 60 | |
arovir01 | b0717b5 | 2018-09-05 17:03:25 +0100 | [diff] [blame] | 61 | namespace armnn_driver |
| 62 | { |
| 63 | namespace hal_1_1 |
| 64 | { |
| 65 | |
| 66 | bool HalPolicy::ConvertOperation(const Operation& operation, const Model& model, ConversionData& data) |
| 67 | { |
Éanna Ó Catháin | 2fc21f7 | 2019-05-13 11:01:33 +0100 | [diff] [blame] | 68 | if (CompliantWithVersion10(operation)) |
arovir01 | b0717b5 | 2018-09-05 17:03:25 +0100 | [diff] [blame] | 69 | { |
Éanna Ó Catháin | 2fc21f7 | 2019-05-13 11:01:33 +0100 | [diff] [blame] | 70 | hal_1_0::HalPolicy::Operation v10Operation = ConvertOperationToVersion10(operation); |
arovir01 | b0717b5 | 2018-09-05 17:03:25 +0100 | [diff] [blame] | 71 | hal_1_0::HalPolicy::Model v10Model = convertToV1_0(model); |
| 72 | |
| 73 | return hal_1_0::HalPolicy::ConvertOperation(v10Operation, v10Model, data); |
| 74 | } |
| 75 | else |
| 76 | { |
| 77 | switch (operation.type) |
| 78 | { |
| 79 | case V1_1::OperationType::DIV: |
| 80 | return ConvertDiv(operation, model, data); |
David Beck | 38e1294 | 2018-09-12 16:02:24 +0100 | [diff] [blame] | 81 | case V1_1::OperationType::SUB: |
| 82 | return ConvertSub(operation, model, data); |
narpra01 | 3c05256 | 2018-09-17 14:25:04 +0100 | [diff] [blame] | 83 | case V1_1::OperationType::MEAN: |
| 84 | return ConvertMean(operation, model, data); |
Nina Drozd | 62a4a9f | 2018-10-01 14:20:25 +0100 | [diff] [blame] | 85 | case V1_1::OperationType::PAD: |
| 86 | return ConvertPad(operation, model, data); |
Nattapat Chaimanowong | 81a6834 | 2018-11-05 14:04:47 +0000 | [diff] [blame] | 87 | case V1_1::OperationType::SPACE_TO_BATCH_ND: |
| 88 | return ConvertSpaceToBatchNd(operation, model, data); |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 89 | case V1_1::OperationType::SQUEEZE: |
| 90 | return ConvertSqueeze(operation, model, data); |
Sadik Armagan | 758eee8 | 2018-11-15 15:34:49 +0000 | [diff] [blame] | 91 | case V1_1::OperationType::STRIDED_SLICE: |
| 92 | return ConvertStridedSlice(operation, model, data); |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 93 | case V1_1::OperationType::TRANSPOSE: |
| 94 | return ConvertTranspose(operation, model, data); |
Éanna Ó Catháin | 2cd99b9 | 2018-11-14 14:33:52 +0000 | [diff] [blame] | 95 | case V1_1::OperationType::BATCH_TO_SPACE_ND: |
| 96 | return ConvertBatchToSpaceNd(operation, model, data); |
arovir01 | b0717b5 | 2018-09-05 17:03:25 +0100 | [diff] [blame] | 97 | default: |
| 98 | return Fail("%s: Operation type %s not supported in ArmnnDriver", |
| 99 | __func__, toString(operation.type).c_str()); |
| 100 | } |
| 101 | } |
| 102 | } |
| 103 | |
| 104 | bool HalPolicy::ConvertDiv(const Operation& operation, const Model& model, ConversionData& data) |
| 105 | { |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 106 | LayerInputHandle input0 = ConvertToLayerInputHandle<hal_1_1::HalPolicy>(operation, 0, model, data); |
| 107 | LayerInputHandle input1 = ConvertToLayerInputHandle<hal_1_1::HalPolicy>(operation, 1, model, data); |
arovir01 | b0717b5 | 2018-09-05 17:03:25 +0100 | [diff] [blame] | 108 | |
| 109 | if (!input0.IsValid() || !input1.IsValid()) |
| 110 | { |
| 111 | return Fail("%s: Operation has invalid inputs", __func__); |
| 112 | } |
| 113 | |
| 114 | // The FuseActivation parameter is always the input index 2 |
| 115 | // and it should be optional |
| 116 | ActivationFn activationFunction; |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 117 | if (!GetOptionalInputActivation<hal_1_1::HalPolicy>(operation, 2, activationFunction, model, data)) |
arovir01 | b0717b5 | 2018-09-05 17:03:25 +0100 | [diff] [blame] | 118 | { |
| 119 | return Fail("%s: Operation has invalid inputs", __func__); |
| 120 | } |
| 121 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 122 | const Operand* outputOperand = GetOutputOperand<hal_1_1::HalPolicy>(operation, 0, model); |
arovir01 | b0717b5 | 2018-09-05 17:03:25 +0100 | [diff] [blame] | 123 | if (!outputOperand) |
| 124 | { |
| 125 | return false; |
| 126 | } |
| 127 | |
| 128 | const armnn::TensorInfo& outInfo = GetTensorInfoForOperand(*outputOperand); |
| 129 | |
Nattapat Chaimanowong | d5fd976 | 2019-04-04 13:33:10 +0100 | [diff] [blame] | 130 | if (!IsLayerSupportedForAnyBackend(__func__, |
| 131 | armnn::IsDivisionSupported, |
| 132 | data.m_Backends, |
| 133 | input0.GetTensorInfo(), |
| 134 | input1.GetTensorInfo(), |
| 135 | outInfo)) |
arovir01 | b0717b5 | 2018-09-05 17:03:25 +0100 | [diff] [blame] | 136 | { |
| 137 | return false; |
| 138 | } |
| 139 | |
| 140 | armnn::IConnectableLayer* const startLayer = data.m_Network->AddDivisionLayer(); |
| 141 | armnn::IConnectableLayer* const endLayer = ProcessActivation(outInfo, activationFunction, startLayer, data); |
| 142 | |
| 143 | const armnn::TensorInfo& inputTensorInfo0 = input0.GetTensorInfo(); |
| 144 | const armnn::TensorInfo& inputTensorInfo1 = input1.GetTensorInfo(); |
| 145 | |
| 146 | if (endLayer) |
| 147 | { |
| 148 | BroadcastTensor(input0, input1, startLayer, *data.m_Network); |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 149 | return SetupAndTrackLayerOutputSlot<hal_1_1::HalPolicy>(operation, 0, *endLayer, model, data); |
arovir01 | b0717b5 | 2018-09-05 17:03:25 +0100 | [diff] [blame] | 150 | } |
| 151 | |
| 152 | return Fail("%s: ProcessActivation failed", __func__); |
| 153 | } |
| 154 | |
David Beck | 38e1294 | 2018-09-12 16:02:24 +0100 | [diff] [blame] | 155 | bool HalPolicy::ConvertSub(const Operation& operation, const Model& model, ConversionData& data) |
| 156 | { |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 157 | LayerInputHandle input0 = ConvertToLayerInputHandle<hal_1_1::HalPolicy>(operation, 0, model, data); |
| 158 | LayerInputHandle input1 = ConvertToLayerInputHandle<hal_1_1::HalPolicy>(operation, 1, model, data); |
David Beck | 38e1294 | 2018-09-12 16:02:24 +0100 | [diff] [blame] | 159 | |
| 160 | if (!input0.IsValid() || !input1.IsValid()) |
| 161 | { |
| 162 | return Fail("%s: Operation has invalid inputs", __func__); |
| 163 | } |
| 164 | |
| 165 | // The FuseActivation parameter is always the input index 2 |
| 166 | // and it should be optional |
| 167 | ActivationFn activationFunction; |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 168 | if (!GetOptionalInputActivation<hal_1_1::HalPolicy>(operation, 2, activationFunction, model, data)) |
David Beck | 38e1294 | 2018-09-12 16:02:24 +0100 | [diff] [blame] | 169 | { |
| 170 | return Fail("%s: Operation has invalid inputs", __func__); |
| 171 | } |
| 172 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 173 | const Operand* outputOperand = GetOutputOperand<hal_1_1::HalPolicy>(operation, 0, model); |
David Beck | 38e1294 | 2018-09-12 16:02:24 +0100 | [diff] [blame] | 174 | if (!outputOperand) |
| 175 | { |
| 176 | return false; |
| 177 | } |
| 178 | |
| 179 | const armnn::TensorInfo& outInfo = GetTensorInfoForOperand(*outputOperand); |
| 180 | |
Nattapat Chaimanowong | d5fd976 | 2019-04-04 13:33:10 +0100 | [diff] [blame] | 181 | if (!IsLayerSupportedForAnyBackend(__func__, |
| 182 | armnn::IsSubtractionSupported, |
| 183 | data.m_Backends, |
| 184 | input0.GetTensorInfo(), |
| 185 | input1.GetTensorInfo(), |
| 186 | outInfo)) |
David Beck | 38e1294 | 2018-09-12 16:02:24 +0100 | [diff] [blame] | 187 | { |
| 188 | return false; |
| 189 | } |
| 190 | |
| 191 | armnn::IConnectableLayer* const startLayer = data.m_Network->AddSubtractionLayer(); |
| 192 | armnn::IConnectableLayer* const endLayer = ProcessActivation(outInfo, activationFunction, startLayer, data); |
| 193 | |
| 194 | const armnn::TensorInfo& inputTensorInfo0 = input0.GetTensorInfo(); |
| 195 | const armnn::TensorInfo& inputTensorInfo1 = input1.GetTensorInfo(); |
| 196 | |
| 197 | if (endLayer) |
| 198 | { |
| 199 | BroadcastTensor(input0, input1, startLayer, *data.m_Network); |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 200 | return SetupAndTrackLayerOutputSlot<hal_1_1::HalPolicy>(operation, 0, *endLayer, model, data); |
David Beck | 38e1294 | 2018-09-12 16:02:24 +0100 | [diff] [blame] | 201 | } |
| 202 | |
| 203 | return Fail("%s: ProcessActivation failed", __func__); |
| 204 | } |
| 205 | |
narpra01 | 3c05256 | 2018-09-17 14:25:04 +0100 | [diff] [blame] | 206 | bool HalPolicy::ConvertMean(const Operation& operation, const Model& model, ConversionData& data) |
| 207 | { |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 208 | LayerInputHandle input = ConvertToLayerInputHandle<hal_1_1::HalPolicy>(operation, 0, model, data); |
narpra01 | 3c05256 | 2018-09-17 14:25:04 +0100 | [diff] [blame] | 209 | if (!input.IsValid()) |
| 210 | { |
| 211 | return Fail("%s: Operation has invalid inputs", __func__); |
| 212 | } |
| 213 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 214 | const Operand* axisOperand = GetInputOperand<hal_1_1::HalPolicy>(operation, 1, model); |
Matteo Martincigh | ae622b7 | 2018-10-23 18:25:38 +0100 | [diff] [blame] | 215 | if (!axisOperand) |
| 216 | { |
| 217 | return Fail("%s: Could not read input 1", __func__); |
| 218 | } |
| 219 | |
| 220 | std::vector<int32_t> axis; |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 221 | if (!GetTensorInt32Values<hal_1_1::HalPolicy>(*axisOperand, axis, model, data)) |
Matteo Martincigh | ae622b7 | 2018-10-23 18:25:38 +0100 | [diff] [blame] | 222 | { |
| 223 | return Fail("%s: Input 1 has invalid values", __func__); |
| 224 | } |
| 225 | |
| 226 | const armnn::TensorInfo& inputInfo = input.GetTensorInfo(); |
| 227 | |
| 228 | // Convert the axis to unsigned int and remove duplicates. |
| 229 | unsigned int rank = inputInfo.GetNumDimensions(); |
| 230 | std::set<unsigned int> uniqueAxis; |
| 231 | std::transform(axis.begin(), axis.end(), |
| 232 | std::inserter(uniqueAxis, uniqueAxis.begin()), |
| 233 | [rank](int i) -> unsigned int { return (i + rank) % rank; }); |
| 234 | |
| 235 | // Get the "keep dims" flag. |
| 236 | int32_t keepDims = 0; |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 237 | if (!GetInputInt32<hal_1_1::HalPolicy>(operation, 2, keepDims, model, data)) |
Matteo Martincigh | ae622b7 | 2018-10-23 18:25:38 +0100 | [diff] [blame] | 238 | { |
| 239 | return Fail("%s: Could not read input 2", __func__); |
| 240 | } |
narpra01 | 3c05256 | 2018-09-17 14:25:04 +0100 | [diff] [blame] | 241 | |
| 242 | armnn::MeanDescriptor descriptor; |
Matteo Martincigh | ae622b7 | 2018-10-23 18:25:38 +0100 | [diff] [blame] | 243 | descriptor.m_Axis.assign(uniqueAxis.begin(), uniqueAxis.end()); |
| 244 | descriptor.m_KeepDims = keepDims > 0; |
narpra01 | 3c05256 | 2018-09-17 14:25:04 +0100 | [diff] [blame] | 245 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 246 | const Operand* output = GetOutputOperand<hal_1_1::HalPolicy>(operation, 0, model); |
narpra01 | 3c05256 | 2018-09-17 14:25:04 +0100 | [diff] [blame] | 247 | if (!output) |
| 248 | { |
| 249 | return Fail("%s: Could not read output 0", __func__); |
| 250 | } |
| 251 | |
| 252 | const armnn::TensorInfo& outputInfo = GetTensorInfoForOperand(*output); |
| 253 | |
Nattapat Chaimanowong | d5fd976 | 2019-04-04 13:33:10 +0100 | [diff] [blame] | 254 | if (!IsLayerSupportedForAnyBackend(__func__, |
| 255 | armnn::IsMeanSupported, |
| 256 | data.m_Backends, |
| 257 | inputInfo, |
| 258 | outputInfo, |
| 259 | descriptor)) |
narpra01 | 3c05256 | 2018-09-17 14:25:04 +0100 | [diff] [blame] | 260 | { |
| 261 | return false; |
| 262 | } |
| 263 | |
| 264 | armnn::IConnectableLayer* const layer = data.m_Network->AddMeanLayer(descriptor); |
narpra01 | 96bedf0 | 2018-09-26 16:57:28 +0100 | [diff] [blame] | 265 | assert(layer != nullptr); |
| 266 | input.Connect(layer->GetInputSlot(0)); |
narpra01 | 3c05256 | 2018-09-17 14:25:04 +0100 | [diff] [blame] | 267 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 268 | return SetupAndTrackLayerOutputSlot<hal_1_1::HalPolicy>(operation, 0, *layer, model, data); |
narpra01 | 3c05256 | 2018-09-17 14:25:04 +0100 | [diff] [blame] | 269 | } |
| 270 | |
Nina Drozd | 62a4a9f | 2018-10-01 14:20:25 +0100 | [diff] [blame] | 271 | bool HalPolicy::ConvertPad(const Operation& operation, const Model& model, ConversionData& data) |
| 272 | { |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 273 | LayerInputHandle input = ConvertToLayerInputHandle<hal_1_1::HalPolicy>(operation, 0, model, data); |
Nina Drozd | 62a4a9f | 2018-10-01 14:20:25 +0100 | [diff] [blame] | 274 | if (!input.IsValid()) |
| 275 | { |
| 276 | return Fail("%s: Operation has invalid inputs", __func__); |
| 277 | } |
| 278 | |
| 279 | const armnn::TensorInfo& inputInfo = input.GetTensorInfo(); |
Nina Drozd | 62a4a9f | 2018-10-01 14:20:25 +0100 | [diff] [blame] | 280 | unsigned int rank = inputInfo.GetNumDimensions(); |
Nina Drozd | 62a4a9f | 2018-10-01 14:20:25 +0100 | [diff] [blame] | 281 | |
Nina Drozd | 62a4a9f | 2018-10-01 14:20:25 +0100 | [diff] [blame] | 282 | armnn::PadDescriptor descriptor; |
Aron Virginas-Tar | cb8ac84 | 2019-07-05 15:47:07 +0100 | [diff] [blame] | 283 | if (!ConvertPaddings<hal_1_1::HalPolicy>(operation, model, data, rank, descriptor)) |
Nina Drozd | 62a4a9f | 2018-10-01 14:20:25 +0100 | [diff] [blame] | 284 | { |
Aron Virginas-Tar | cb8ac84 | 2019-07-05 15:47:07 +0100 | [diff] [blame] | 285 | return Fail("%s: Could not convert paddings", __func__); |
Nina Drozd | 62a4a9f | 2018-10-01 14:20:25 +0100 | [diff] [blame] | 286 | } |
| 287 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 288 | const Operand* output = GetOutputOperand<hal_1_1::HalPolicy>(operation, 0, model); |
Nina Drozd | 62a4a9f | 2018-10-01 14:20:25 +0100 | [diff] [blame] | 289 | if (!output) |
| 290 | { |
Aron Virginas-Tar | cb8ac84 | 2019-07-05 15:47:07 +0100 | [diff] [blame] | 291 | return Fail("%s: Could not read output", __func__); |
Nina Drozd | 62a4a9f | 2018-10-01 14:20:25 +0100 | [diff] [blame] | 292 | } |
| 293 | |
| 294 | const armnn::TensorInfo& outputInfo = GetTensorInfoForOperand(*output); |
| 295 | |
Nattapat Chaimanowong | d5fd976 | 2019-04-04 13:33:10 +0100 | [diff] [blame] | 296 | if (!IsLayerSupportedForAnyBackend(__func__, |
| 297 | armnn::IsPadSupported, |
| 298 | data.m_Backends, |
| 299 | inputInfo, |
| 300 | outputInfo, |
| 301 | descriptor)) |
Nina Drozd | 62a4a9f | 2018-10-01 14:20:25 +0100 | [diff] [blame] | 302 | { |
| 303 | return false; |
| 304 | } |
| 305 | |
| 306 | armnn::IConnectableLayer* const layer = data.m_Network->AddPadLayer(descriptor); |
| 307 | assert(layer != nullptr); |
| 308 | input.Connect(layer->GetInputSlot(0)); |
| 309 | layer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 310 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 311 | return SetupAndTrackLayerOutputSlot<hal_1_1::HalPolicy>(operation, 0, *layer, model, data); |
Nina Drozd | 62a4a9f | 2018-10-01 14:20:25 +0100 | [diff] [blame] | 312 | } |
| 313 | |
Nattapat Chaimanowong | 81a6834 | 2018-11-05 14:04:47 +0000 | [diff] [blame] | 314 | bool HalPolicy::ConvertSpaceToBatchNd(const Operation& operation, const Model& model, ConversionData& data) |
| 315 | { |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 316 | LayerInputHandle input = ConvertToLayerInputHandle<hal_1_1::HalPolicy>(operation, 0, model, data); |
Nattapat Chaimanowong | 81a6834 | 2018-11-05 14:04:47 +0000 | [diff] [blame] | 317 | |
| 318 | if (!input.IsValid()) |
| 319 | { |
| 320 | return Fail("%s: Operation has invalid inputs", __func__); |
| 321 | } |
| 322 | |
| 323 | const armnn::TensorInfo& inputInfo = input.GetTensorInfo(); |
| 324 | unsigned int rank = inputInfo.GetNumDimensions(); |
| 325 | unsigned int spatialDim = rank - 2; |
| 326 | |
| 327 | if (rank != 4) |
| 328 | { |
| 329 | Fail("%s: Only inputs with rank 4 are supported", __func__); |
| 330 | } |
| 331 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 332 | const Operand* blockShapeOperand = GetInputOperand<hal_1_1::HalPolicy>(operation, 1, model); |
| 333 | const Operand* paddingsOperand = GetInputOperand<hal_1_1::HalPolicy>(operation, 2, model); |
Nattapat Chaimanowong | 81a6834 | 2018-11-05 14:04:47 +0000 | [diff] [blame] | 334 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 335 | armnn::TensorShape blockShapeOperandShape = GetTensorShapeForOperand(*blockShapeOperand); |
Nattapat Chaimanowong | 81a6834 | 2018-11-05 14:04:47 +0000 | [diff] [blame] | 336 | if (blockShapeOperandShape.GetNumDimensions() != 1 || blockShapeOperandShape.GetNumElements() != spatialDim) |
| 337 | { |
| 338 | return Fail("%s: Operation has invalid block shape operand: expected shape [%d]", __func__, spatialDim); |
| 339 | } |
| 340 | |
| 341 | std::vector<int32_t> blockShape; |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 342 | GetTensorInt32Values<hal_1_1::HalPolicy>(*blockShapeOperand, blockShape, model, data); |
Sadik Armagan | 8bef7b3 | 2018-12-20 14:14:12 +0000 | [diff] [blame] | 343 | if (std::any_of(blockShape.cbegin(), blockShape.cend(), [](int32_t i){ return i < 1; })) |
Nattapat Chaimanowong | 81a6834 | 2018-11-05 14:04:47 +0000 | [diff] [blame] | 344 | { |
Sadik Armagan | 8bef7b3 | 2018-12-20 14:14:12 +0000 | [diff] [blame] | 345 | return Fail("%s: Block shape must be at least 1 in all dimensions.", __func__); |
Nattapat Chaimanowong | 81a6834 | 2018-11-05 14:04:47 +0000 | [diff] [blame] | 346 | } |
| 347 | |
| 348 | armnn::TensorShape paddingsOperandShape = GetTensorShapeForOperand(*paddingsOperand); |
| 349 | if (paddingsOperandShape.GetNumDimensions() != 2 || paddingsOperandShape.GetNumElements() != 2 * spatialDim) |
| 350 | { |
| 351 | return Fail("%s: Operation has invalid paddings operand: expected shape [%d, 2]", __func__, spatialDim); |
| 352 | } |
| 353 | |
Sadik Armagan | 8bef7b3 | 2018-12-20 14:14:12 +0000 | [diff] [blame] | 354 | std::vector<std::pair<unsigned int, unsigned int>> paddingList; |
Nattapat Chaimanowong | 81a6834 | 2018-11-05 14:04:47 +0000 | [diff] [blame] | 355 | std::vector<int32_t> paddings; |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 356 | GetTensorInt32Values<hal_1_1::HalPolicy>(*paddingsOperand, paddings, model, data); |
Nattapat Chaimanowong | 81a6834 | 2018-11-05 14:04:47 +0000 | [diff] [blame] | 357 | for (unsigned int i = 0; i < paddings.size() - 1; i += 2) |
| 358 | { |
| 359 | int paddingBeforeInput = paddings[i]; |
| 360 | int paddingAfterInput = paddings[i + 1]; |
| 361 | if (paddingBeforeInput < 0 || paddingAfterInput < 0) |
| 362 | { |
| 363 | return Fail("%s: Operation has invalid paddings operand, invalid padding values.", __func__); |
| 364 | } |
| 365 | |
Sadik Armagan | 8bef7b3 | 2018-12-20 14:14:12 +0000 | [diff] [blame] | 366 | paddingList.emplace_back((unsigned int) paddingBeforeInput, (unsigned int) paddingAfterInput); |
Nattapat Chaimanowong | 81a6834 | 2018-11-05 14:04:47 +0000 | [diff] [blame] | 367 | } |
| 368 | |
Sadik Armagan | 8bef7b3 | 2018-12-20 14:14:12 +0000 | [diff] [blame] | 369 | armnn::SpaceToBatchNdDescriptor descriptor; |
| 370 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 371 | descriptor.m_BlockShape.assign(blockShape.cbegin(), blockShape.cend()); |
| 372 | descriptor.m_PadList.assign(paddingList.cbegin(), paddingList.cend()); |
| 373 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 374 | const Operand* output = GetOutputOperand<hal_1_1::HalPolicy>(operation, 0, model); |
Nattapat Chaimanowong | 81a6834 | 2018-11-05 14:04:47 +0000 | [diff] [blame] | 375 | if (!output) |
| 376 | { |
| 377 | return Fail("%s: Could not read output 0", __func__); |
| 378 | } |
| 379 | |
| 380 | const armnn::TensorInfo& outputInfo = GetTensorInfoForOperand(*output); |
Nattapat Chaimanowong | d5fd976 | 2019-04-04 13:33:10 +0100 | [diff] [blame] | 381 | if (!IsLayerSupportedForAnyBackend(__func__, |
| 382 | armnn::IsSpaceToBatchNdSupported, |
| 383 | data.m_Backends, |
| 384 | inputInfo, |
| 385 | outputInfo, |
| 386 | descriptor)) |
Nattapat Chaimanowong | 81a6834 | 2018-11-05 14:04:47 +0000 | [diff] [blame] | 387 | { |
| 388 | return false; |
| 389 | } |
| 390 | |
| 391 | armnn::IConnectableLayer* const layer = data.m_Network->AddSpaceToBatchNdLayer(descriptor); |
| 392 | assert(layer != nullptr); |
| 393 | input.Connect(layer->GetInputSlot(0)); |
| 394 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 395 | return SetupAndTrackLayerOutputSlot<hal_1_1::HalPolicy>(operation, 0, *layer, model, data); |
Nattapat Chaimanowong | 81a6834 | 2018-11-05 14:04:47 +0000 | [diff] [blame] | 396 | } |
| 397 | |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 398 | bool HalPolicy::ConvertSqueeze(const Operation& operation, const Model& model, ConversionData& data) |
| 399 | { |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 400 | LayerInputHandle input = ConvertToLayerInputHandle<hal_1_1::HalPolicy>(operation, 0, model, data); |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 401 | |
| 402 | if (!input.IsValid()) |
| 403 | { |
| 404 | return Fail("%s: Operation has invalid inputs", __func__); |
| 405 | } |
| 406 | |
| 407 | const armnn::TensorInfo& inputInfo = input.GetTensorInfo(); |
| 408 | |
| 409 | unsigned int rank = inputInfo.GetNumDimensions(); |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 410 | if (rank > 4) |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 411 | { |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 412 | Fail("%s: Inputs with rank greater than 4 are not supported", __func__); |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 413 | } |
| 414 | |
| 415 | // NOTE: Axis is an optional parameter to SQUEEZE, therefore we do not want to generate a failure |
| 416 | // if the operand index is out of bounds. |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 417 | const Operand* axisOperand = GetInputOperand<hal_1_1::HalPolicy>(operation, 1, model, false); |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 418 | |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 419 | const uint32_t dimensionSequence[] = { 0, 1, 2, 3 }; |
| 420 | |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 421 | std::vector<int32_t> axis; |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 422 | if (!axisOperand) |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 423 | { |
| 424 | axis.assign(dimensionSequence, |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 425 | dimensionSequence + rank); |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 426 | } |
| 427 | else |
| 428 | { |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 429 | GetTensorInt32Values<hal_1_1::HalPolicy>(*axisOperand, axis, model, data); |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 430 | } |
| 431 | |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 432 | |
saoste01 | a893efa | 2018-10-13 11:56:12 +0100 | [diff] [blame] | 433 | std::vector<uint32_t> outputDims; |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 434 | for (unsigned int i = 0; i < rank; i++) |
saoste01 | a893efa | 2018-10-13 11:56:12 +0100 | [diff] [blame] | 435 | { |
| 436 | bool skipSqueeze = (std::find(axis.begin(), axis.end(), i) == axis.end()); |
| 437 | auto currentDimension = inputInfo.GetShape()[i]; |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 438 | if (skipSqueeze || currentDimension != 1) |
| 439 | { |
| 440 | outputDims.push_back(currentDimension); |
| 441 | } |
| 442 | } |
| 443 | |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 444 | armnn::TensorShape outShape = armnn::TensorShape(outputDims.size(), outputDims.data()); |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 445 | |
| 446 | armnn::TensorInfo outputInfo = inputInfo; |
| 447 | outputInfo.SetShape(outShape); |
| 448 | |
| 449 | armnn::ReshapeDescriptor reshapeDesc; |
| 450 | reshapeDesc.m_TargetShape = outputInfo.GetShape(); |
| 451 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 452 | const Operand* output = GetOutputOperand<hal_1_1::HalPolicy>(operation, 0, model); |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 453 | if (!output) |
| 454 | { |
| 455 | return Fail("%s: Could not read output 0", __func__); |
| 456 | } |
| 457 | |
Nattapat Chaimanowong | d5fd976 | 2019-04-04 13:33:10 +0100 | [diff] [blame] | 458 | if (!IsLayerSupportedForAnyBackend(__func__, |
| 459 | armnn::IsReshapeSupported, |
| 460 | data.m_Backends, |
| 461 | inputInfo, |
| 462 | reshapeDesc)) |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 463 | { |
| 464 | return false; |
| 465 | } |
| 466 | |
| 467 | armnn::IConnectableLayer* const layer = data.m_Network->AddReshapeLayer(reshapeDesc); |
| 468 | assert(layer != nullptr); |
| 469 | input.Connect(layer->GetInputSlot(0)); |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 470 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 471 | return SetupAndTrackLayerOutputSlot<hal_1_1::HalPolicy>(operation, 0, *layer, model, data); |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 472 | } |
| 473 | |
Sadik Armagan | 758eee8 | 2018-11-15 15:34:49 +0000 | [diff] [blame] | 474 | bool HalPolicy::ConvertStridedSlice(const Operation& operation, const Model& model, ConversionData& data) |
| 475 | { |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 476 | LayerInputHandle input = ConvertToLayerInputHandle<hal_1_1::HalPolicy>(operation, 0, model, data); |
Sadik Armagan | 758eee8 | 2018-11-15 15:34:49 +0000 | [diff] [blame] | 477 | if (!input.IsValid()) |
| 478 | { |
| 479 | return Fail("%s: Operation has invalid inputs", __func__); |
| 480 | } |
| 481 | const armnn::TensorInfo& inputInfo = input.GetTensorInfo(); |
| 482 | |
| 483 | unsigned int rank = inputInfo.GetNumDimensions(); |
| 484 | if (rank > 4) |
| 485 | { |
| 486 | Fail("%s: Inputs with rank greater than 4 are not supported", __func__); |
| 487 | } |
| 488 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 489 | const Operand* beginOperand = GetInputOperand<hal_1_1::HalPolicy>(operation, 1, model); |
| 490 | const Operand* endOperand = GetInputOperand<hal_1_1::HalPolicy>(operation, 2, model); |
| 491 | const Operand* stridesOperand = GetInputOperand<hal_1_1::HalPolicy>(operation, 3, model); |
Sadik Armagan | 758eee8 | 2018-11-15 15:34:49 +0000 | [diff] [blame] | 492 | |
| 493 | std::vector<int32_t> beginValues; |
| 494 | std::vector<int32_t> endValues; |
| 495 | std::vector<int32_t> stridesValues; |
| 496 | |
| 497 | // The length of the beginOperand, endOperand and stridesOperand must be of a rank(input) |
| 498 | auto ValidateInputOperands = [&] (const Operand& operand, std::vector<int32_t>& operandValues) |
| 499 | { |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 500 | if (!GetTensorInt32Values<hal_1_1::HalPolicy>(operand, operandValues, model, data)) |
Sadik Armagan | 758eee8 | 2018-11-15 15:34:49 +0000 | [diff] [blame] | 501 | { |
| 502 | return false; |
| 503 | } |
| 504 | |
| 505 | if (operandValues.size() != rank) |
| 506 | { |
| 507 | return false; |
| 508 | } |
| 509 | |
| 510 | return true; |
| 511 | }; |
| 512 | |
| 513 | if (!ValidateInputOperands(*beginOperand, beginValues) |
| 514 | || !ValidateInputOperands(*endOperand, endValues) |
| 515 | || !ValidateInputOperands(*stridesOperand, stridesValues)) |
| 516 | { |
| 517 | return Fail("%s: Operation has invalid input operand", __func__); |
| 518 | } |
| 519 | |
| 520 | // Stride cannot have value '0' |
| 521 | if (std::any_of(stridesValues.cbegin(), stridesValues.cend(), [](int32_t i){ return i == 0; })) |
| 522 | { |
| 523 | return Fail("%s: Stride must be non-zero value.", __func__); |
| 524 | } |
| 525 | |
| 526 | armnn::StridedSliceDescriptor descriptor; |
| 527 | descriptor.m_Begin.assign(beginValues.cbegin(), beginValues.cend()); |
| 528 | descriptor.m_End.assign(endValues.cbegin(), endValues.cend()); |
| 529 | descriptor.m_Stride.assign(stridesValues.cbegin(), stridesValues.cend()); |
| 530 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 531 | |
| 532 | // Get the "begin_mask", "end_mask", and "shrink_axis_mask" flags |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 533 | if (!GetInputInt32<hal_1_1::HalPolicy>(operation, 4, descriptor.m_BeginMask, model, data) || |
| 534 | !GetInputInt32<hal_1_1::HalPolicy>(operation, 5, descriptor.m_EndMask, model, data) || |
| 535 | !GetInputInt32<hal_1_1::HalPolicy>(operation, 6, descriptor.m_ShrinkAxisMask, model, data)) |
Sadik Armagan | 758eee8 | 2018-11-15 15:34:49 +0000 | [diff] [blame] | 536 | { |
| 537 | return Fail("%s: Operation has invalid inputs", __func__); |
| 538 | } |
| 539 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 540 | const Operand* output = GetOutputOperand<hal_1_1::HalPolicy>(operation, 0, model); |
Sadik Armagan | 758eee8 | 2018-11-15 15:34:49 +0000 | [diff] [blame] | 541 | if (!output) |
| 542 | { |
| 543 | return Fail("%s: Could not read output 0", __func__); |
| 544 | } |
| 545 | const armnn::TensorInfo& outputInfo = GetTensorInfoForOperand(*output); |
| 546 | |
Nattapat Chaimanowong | d5fd976 | 2019-04-04 13:33:10 +0100 | [diff] [blame] | 547 | if (!IsLayerSupportedForAnyBackend(__func__, |
| 548 | armnn::IsStridedSliceSupported, |
| 549 | data.m_Backends, |
| 550 | inputInfo, |
| 551 | outputInfo, |
| 552 | descriptor)) |
Sadik Armagan | 758eee8 | 2018-11-15 15:34:49 +0000 | [diff] [blame] | 553 | { |
| 554 | return false; |
| 555 | } |
| 556 | |
| 557 | armnn::IConnectableLayer* const layer = data.m_Network->AddStridedSliceLayer(descriptor); |
| 558 | assert(layer != nullptr); |
| 559 | input.Connect(layer->GetInputSlot(0)); |
| 560 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 561 | return SetupAndTrackLayerOutputSlot<hal_1_1::HalPolicy>(operation, 0, *layer, model, data); |
Sadik Armagan | 758eee8 | 2018-11-15 15:34:49 +0000 | [diff] [blame] | 562 | } |
| 563 | |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 564 | bool HalPolicy::ConvertTranspose(const Operation& operation, const Model& model, ConversionData& data) |
| 565 | { |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 566 | LayerInputHandle input = ConvertToLayerInputHandle<hal_1_1::HalPolicy>(operation, 0, model, data); |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 567 | |
| 568 | if (!input.IsValid()) |
| 569 | { |
| 570 | return Fail("%s: Operation has invalid inputs", __func__); |
| 571 | } |
| 572 | |
| 573 | const armnn::TensorInfo& inputInfo = input.GetTensorInfo(); |
| 574 | |
| 575 | unsigned int rank = inputInfo.GetNumDimensions(); |
| 576 | if (rank > 4) |
| 577 | { |
| 578 | Fail("%s: Inputs with rank greater than 4 are not supported", __func__); |
| 579 | } |
| 580 | |
| 581 | // NOTE: Axis is an optional parameter to TRANSPOSE, therefore we do not want to generate a failure |
| 582 | // if the operand index is out of bounds. |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 583 | const Operand* permOperand = GetInputOperand<hal_1_1::HalPolicy>(operation, 1, model, false); |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 584 | |
| 585 | std::vector<int32_t> perm(rank); |
| 586 | if (!permOperand) |
| 587 | { |
| 588 | // NOTE: If perm is not given, it is set to (n-1...0), where n is the rank of the tensor |
| 589 | for (unsigned int i = rank; i > 0; i--) |
| 590 | { |
| 591 | perm[rank - i] = boost::numeric_cast<int> (i - 1); |
| 592 | } |
| 593 | } |
| 594 | else |
| 595 | { |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 596 | GetTensorInt32Values<hal_1_1::HalPolicy>(*permOperand, perm, model, data); |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 597 | } |
| 598 | |
| 599 | std::vector<uint32_t> outputDims(perm.begin(), perm.begin() + rank); |
| 600 | |
| 601 | auto permutationVector = armnn::PermutationVector(outputDims.data(), outputDims.size()); |
| 602 | if (!permutationVector.IsEqual(NHWCToArmNN) |
| 603 | && !permutationVector.IsEqual(ArmNNToNHWC) |
| 604 | && !permutationVector.IsEqual({ 3, 2, 0, 1 })) |
| 605 | { |
| 606 | return Fail("%s: Only [0, 3, 1, 2], [0, 2, 3, 1] and [3, 2, 0, 1] permutations are supported.", __func__); |
| 607 | } |
| 608 | |
| 609 | armnn::PermuteDescriptor permuteDesc; |
| 610 | permuteDesc.m_DimMappings = permutationVector; |
| 611 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 612 | const Operand* output = GetOutputOperand<hal_1_1::HalPolicy>(operation, 0, model); |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 613 | if (!output) |
| 614 | { |
| 615 | return Fail("%s: Could not read output 0", __func__); |
| 616 | } |
| 617 | |
| 618 | const armnn::TensorInfo& outputInfo = GetTensorInfoForOperand(*output); |
| 619 | |
Nattapat Chaimanowong | d5fd976 | 2019-04-04 13:33:10 +0100 | [diff] [blame] | 620 | if (!IsLayerSupportedForAnyBackend(__func__, |
| 621 | armnn::IsPermuteSupported, |
| 622 | data.m_Backends, |
| 623 | inputInfo, |
| 624 | outputInfo, |
| 625 | permuteDesc)) |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 626 | { |
| 627 | return false; |
| 628 | } |
| 629 | |
| 630 | armnn::IConnectableLayer* const layer = data.m_Network->AddPermuteLayer(permuteDesc); |
| 631 | assert(layer != nullptr); |
| 632 | input.Connect(layer->GetInputSlot(0)); |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 633 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 634 | return SetupAndTrackLayerOutputSlot<hal_1_1::HalPolicy>(operation, 0, *layer, model, data); |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 635 | } |
| 636 | |
Éanna Ó Catháin | 2cd99b9 | 2018-11-14 14:33:52 +0000 | [diff] [blame] | 637 | bool HalPolicy::ConvertBatchToSpaceNd(const Operation& operation, const Model& model, ConversionData& data) |
| 638 | { |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 639 | LayerInputHandle input = ConvertToLayerInputHandle<hal_1_1::HalPolicy>(operation, 0, model, data); |
Éanna Ó Catháin | 2cd99b9 | 2018-11-14 14:33:52 +0000 | [diff] [blame] | 640 | if (!input.IsValid()) |
| 641 | { |
| 642 | return Fail("%s: Operation has invalid inputs", __func__); |
| 643 | } |
| 644 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 645 | const Operand* blockOperand = GetInputOperand<hal_1_1::HalPolicy>(operation, 1, model); |
Éanna Ó Catháin | 2cd99b9 | 2018-11-14 14:33:52 +0000 | [diff] [blame] | 646 | if (!blockOperand) |
| 647 | { |
| 648 | return Fail("%s: Could not read input 1", __func__); |
| 649 | } |
| 650 | |
| 651 | // Convert the block operand to int32 |
| 652 | std::vector<int32_t> block; |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 653 | if (!GetTensorInt32Values<hal_1_1::HalPolicy>(*blockOperand, block, model, data)) |
Éanna Ó Catháin | 2cd99b9 | 2018-11-14 14:33:52 +0000 | [diff] [blame] | 654 | { |
| 655 | return Fail("%s: Input 1 has invalid values", __func__); |
| 656 | } |
| 657 | |
| 658 | const armnn::TensorInfo& inputInfo = input.GetTensorInfo(); |
| 659 | |
| 660 | unsigned int rank = inputInfo.GetNumDimensions(); |
| 661 | if (rank != 4) |
| 662 | { |
| 663 | Fail("%s: Only inputs with rank equal to 4 are supported", __func__); |
| 664 | } |
| 665 | |
| 666 | if (std::any_of(block.cbegin(), block.cend(), [](int32_t i){ return i < 1; })) |
| 667 | { |
| 668 | return Fail("%s: Block sizes for each spatial dimension of the input tensor must be" |
| 669 | " greater than or equal to 1", __func__); |
| 670 | } |
| 671 | |
| 672 | armnn::BatchToSpaceNdDescriptor batchToSpaceNdDesc; |
| 673 | batchToSpaceNdDesc.m_BlockShape.assign(block.cbegin(), block.cend()); |
| 674 | batchToSpaceNdDesc.m_DataLayout = armnn::DataLayout::NHWC; |
| 675 | |
| 676 | // Setting crops to 0,0 0,0 as it is not supported in Android NN API |
| 677 | batchToSpaceNdDesc.m_Crops = {{0, 0}, {0, 0}}; |
| 678 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 679 | const Operand* output = GetOutputOperand<hal_1_1::HalPolicy>(operation, 0, model); |
Éanna Ó Catháin | 2cd99b9 | 2018-11-14 14:33:52 +0000 | [diff] [blame] | 680 | if (!output) |
| 681 | { |
| 682 | return Fail("%s: Could not read output 0", __func__); |
| 683 | } |
| 684 | |
| 685 | const armnn::TensorInfo& outputInfo = GetTensorInfoForOperand(*output); |
| 686 | |
Nattapat Chaimanowong | d5fd976 | 2019-04-04 13:33:10 +0100 | [diff] [blame] | 687 | if (!IsLayerSupportedForAnyBackend(__func__, |
| 688 | armnn::IsBatchToSpaceNdSupported, |
| 689 | data.m_Backends, |
| 690 | inputInfo, |
| 691 | outputInfo, |
| 692 | batchToSpaceNdDesc)) |
Éanna Ó Catháin | 2cd99b9 | 2018-11-14 14:33:52 +0000 | [diff] [blame] | 693 | { |
| 694 | return false; |
| 695 | } |
| 696 | |
| 697 | armnn::IConnectableLayer* const layer = data.m_Network->AddBatchToSpaceNdLayer(batchToSpaceNdDesc); |
| 698 | assert(layer != nullptr); |
| 699 | input.Connect(layer->GetInputSlot(0)); |
| 700 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 701 | return SetupAndTrackLayerOutputSlot<hal_1_1::HalPolicy>(operation, 0, *layer, model, data); |
Éanna Ó Catháin | 2cd99b9 | 2018-11-14 14:33:52 +0000 | [diff] [blame] | 702 | } |
| 703 | |
arovir01 | b0717b5 | 2018-09-05 17:03:25 +0100 | [diff] [blame] | 704 | } // namespace hal_1_1 |
Aron Virginas-Tar | cb8ac84 | 2019-07-05 15:47:07 +0100 | [diff] [blame] | 705 | } // namespace armnn_driver |