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 | |
Aron Virginas-Tar | 366e0a6 | 2019-07-10 13:01:41 +0100 | [diff] [blame] | 8 | #include "OutputShapeUtils.hpp" |
| 9 | |
arovir01 | b0717b5 | 2018-09-05 17:03:25 +0100 | [diff] [blame] | 10 | #include "../1.0/HalPolicy.hpp" |
| 11 | |
Éanna Ó Catháin | 2fc21f7 | 2019-05-13 11:01:33 +0100 | [diff] [blame] | 12 | namespace |
| 13 | { |
| 14 | static std::vector<V1_0::OperationType> opsEquivalentInV10({ |
| 15 | V1_0::OperationType::ADD, |
| 16 | V1_0::OperationType::AVERAGE_POOL_2D, |
| 17 | V1_0::OperationType::CONCATENATION, |
| 18 | V1_0::OperationType::CONV_2D, |
| 19 | V1_0::OperationType::DEPTHWISE_CONV_2D, |
David Monahan | d5bfae1 | 2019-05-30 12:07:44 +0100 | [diff] [blame] | 20 | V1_0::OperationType::DEQUANTIZE, |
Éanna Ó Catháin | 2fc21f7 | 2019-05-13 11:01:33 +0100 | [diff] [blame] | 21 | V1_0::OperationType::FLOOR, |
| 22 | V1_0::OperationType::FULLY_CONNECTED, |
| 23 | V1_0::OperationType::LOCAL_RESPONSE_NORMALIZATION, |
| 24 | V1_0::OperationType::LOGISTIC, |
| 25 | V1_0::OperationType::LSTM, |
| 26 | V1_0::OperationType::L2_NORMALIZATION, |
| 27 | V1_0::OperationType::L2_POOL_2D, |
| 28 | V1_0::OperationType::MAX_POOL_2D, |
| 29 | V1_0::OperationType::MUL, |
| 30 | V1_0::OperationType::RELU, |
| 31 | V1_0::OperationType::RELU1, |
| 32 | V1_0::OperationType::RELU6, |
| 33 | V1_0::OperationType::SOFTMAX, |
Keith Davis | a6bc52f | 2019-06-26 09:39:49 +0100 | [diff] [blame] | 34 | V1_0::OperationType::SPACE_TO_DEPTH, |
Éanna Ó Catháin | 2fc21f7 | 2019-05-13 11:01:33 +0100 | [diff] [blame] | 35 | V1_0::OperationType::TANH, |
| 36 | V1_0::OperationType::RESHAPE, |
| 37 | V1_0::OperationType::RESIZE_BILINEAR, |
| 38 | }); |
| 39 | |
| 40 | bool CompliantWithVersion10(const V1_1::Operation & operation) |
| 41 | { |
| 42 | std::vector<V1_0::OperationType>::iterator it; |
| 43 | it = std::find(opsEquivalentInV10.begin(), opsEquivalentInV10.end(), |
| 44 | static_cast<V1_0::OperationType>(operation.type)); |
| 45 | |
| 46 | if(it != opsEquivalentInV10.end()) |
| 47 | { |
| 48 | return true; |
| 49 | } |
| 50 | return false; |
| 51 | } |
| 52 | |
| 53 | V1_0::Operation ConvertOperationToVersion10(const V1_1::Operation & operation) |
| 54 | { |
| 55 | V1_0::Operation v10Operation; |
| 56 | v10Operation.type = static_cast<V1_0::OperationType>(operation.type); |
| 57 | v10Operation.inputs = operation.inputs; |
| 58 | v10Operation.outputs = operation.outputs; |
| 59 | return v10Operation; |
| 60 | } |
| 61 | } |
| 62 | |
arovir01 | b0717b5 | 2018-09-05 17:03:25 +0100 | [diff] [blame] | 63 | namespace armnn_driver |
| 64 | { |
| 65 | namespace hal_1_1 |
| 66 | { |
| 67 | |
| 68 | bool HalPolicy::ConvertOperation(const Operation& operation, const Model& model, ConversionData& data) |
| 69 | { |
Éanna Ó Catháin | 2fc21f7 | 2019-05-13 11:01:33 +0100 | [diff] [blame] | 70 | if (CompliantWithVersion10(operation)) |
arovir01 | b0717b5 | 2018-09-05 17:03:25 +0100 | [diff] [blame] | 71 | { |
Éanna Ó Catháin | 2fc21f7 | 2019-05-13 11:01:33 +0100 | [diff] [blame] | 72 | hal_1_0::HalPolicy::Operation v10Operation = ConvertOperationToVersion10(operation); |
arovir01 | b0717b5 | 2018-09-05 17:03:25 +0100 | [diff] [blame] | 73 | hal_1_0::HalPolicy::Model v10Model = convertToV1_0(model); |
| 74 | |
| 75 | return hal_1_0::HalPolicy::ConvertOperation(v10Operation, v10Model, data); |
| 76 | } |
| 77 | else |
| 78 | { |
| 79 | switch (operation.type) |
| 80 | { |
| 81 | case V1_1::OperationType::DIV: |
| 82 | return ConvertDiv(operation, model, data); |
David Beck | 38e1294 | 2018-09-12 16:02:24 +0100 | [diff] [blame] | 83 | case V1_1::OperationType::SUB: |
| 84 | return ConvertSub(operation, model, data); |
narpra01 | 3c05256 | 2018-09-17 14:25:04 +0100 | [diff] [blame] | 85 | case V1_1::OperationType::MEAN: |
| 86 | return ConvertMean(operation, model, data); |
Nina Drozd | 62a4a9f | 2018-10-01 14:20:25 +0100 | [diff] [blame] | 87 | case V1_1::OperationType::PAD: |
| 88 | return ConvertPad(operation, model, data); |
Nattapat Chaimanowong | 81a6834 | 2018-11-05 14:04:47 +0000 | [diff] [blame] | 89 | case V1_1::OperationType::SPACE_TO_BATCH_ND: |
| 90 | return ConvertSpaceToBatchNd(operation, model, data); |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 91 | case V1_1::OperationType::SQUEEZE: |
| 92 | return ConvertSqueeze(operation, model, data); |
Sadik Armagan | 758eee8 | 2018-11-15 15:34:49 +0000 | [diff] [blame] | 93 | case V1_1::OperationType::STRIDED_SLICE: |
| 94 | return ConvertStridedSlice(operation, model, data); |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 95 | case V1_1::OperationType::TRANSPOSE: |
| 96 | return ConvertTranspose(operation, model, data); |
Éanna Ó Catháin | 2cd99b9 | 2018-11-14 14:33:52 +0000 | [diff] [blame] | 97 | case V1_1::OperationType::BATCH_TO_SPACE_ND: |
| 98 | return ConvertBatchToSpaceNd(operation, model, data); |
arovir01 | b0717b5 | 2018-09-05 17:03:25 +0100 | [diff] [blame] | 99 | default: |
| 100 | return Fail("%s: Operation type %s not supported in ArmnnDriver", |
| 101 | __func__, toString(operation.type).c_str()); |
| 102 | } |
| 103 | } |
| 104 | } |
| 105 | |
| 106 | bool HalPolicy::ConvertDiv(const Operation& operation, const Model& model, ConversionData& data) |
| 107 | { |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 108 | LayerInputHandle input0 = ConvertToLayerInputHandle<hal_1_1::HalPolicy>(operation, 0, model, data); |
| 109 | LayerInputHandle input1 = ConvertToLayerInputHandle<hal_1_1::HalPolicy>(operation, 1, model, data); |
arovir01 | b0717b5 | 2018-09-05 17:03:25 +0100 | [diff] [blame] | 110 | |
| 111 | if (!input0.IsValid() || !input1.IsValid()) |
| 112 | { |
| 113 | return Fail("%s: Operation has invalid inputs", __func__); |
| 114 | } |
| 115 | |
| 116 | // The FuseActivation parameter is always the input index 2 |
| 117 | // and it should be optional |
| 118 | ActivationFn activationFunction; |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 119 | if (!GetOptionalInputActivation<hal_1_1::HalPolicy>(operation, 2, activationFunction, model, data)) |
arovir01 | b0717b5 | 2018-09-05 17:03:25 +0100 | [diff] [blame] | 120 | { |
| 121 | return Fail("%s: Operation has invalid inputs", __func__); |
| 122 | } |
| 123 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 124 | const Operand* outputOperand = GetOutputOperand<hal_1_1::HalPolicy>(operation, 0, model); |
arovir01 | b0717b5 | 2018-09-05 17:03:25 +0100 | [diff] [blame] | 125 | if (!outputOperand) |
| 126 | { |
| 127 | return false; |
| 128 | } |
| 129 | |
| 130 | const armnn::TensorInfo& outInfo = GetTensorInfoForOperand(*outputOperand); |
| 131 | |
Nattapat Chaimanowong | d5fd976 | 2019-04-04 13:33:10 +0100 | [diff] [blame] | 132 | if (!IsLayerSupportedForAnyBackend(__func__, |
| 133 | armnn::IsDivisionSupported, |
| 134 | data.m_Backends, |
| 135 | input0.GetTensorInfo(), |
| 136 | input1.GetTensorInfo(), |
| 137 | outInfo)) |
arovir01 | b0717b5 | 2018-09-05 17:03:25 +0100 | [diff] [blame] | 138 | { |
| 139 | return false; |
| 140 | } |
| 141 | |
| 142 | armnn::IConnectableLayer* const startLayer = data.m_Network->AddDivisionLayer(); |
| 143 | armnn::IConnectableLayer* const endLayer = ProcessActivation(outInfo, activationFunction, startLayer, data); |
| 144 | |
| 145 | const armnn::TensorInfo& inputTensorInfo0 = input0.GetTensorInfo(); |
| 146 | const armnn::TensorInfo& inputTensorInfo1 = input1.GetTensorInfo(); |
| 147 | |
| 148 | if (endLayer) |
| 149 | { |
| 150 | BroadcastTensor(input0, input1, startLayer, *data.m_Network); |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 151 | return SetupAndTrackLayerOutputSlot<hal_1_1::HalPolicy>(operation, 0, *endLayer, model, data); |
arovir01 | b0717b5 | 2018-09-05 17:03:25 +0100 | [diff] [blame] | 152 | } |
| 153 | |
| 154 | return Fail("%s: ProcessActivation failed", __func__); |
| 155 | } |
| 156 | |
David Beck | 38e1294 | 2018-09-12 16:02:24 +0100 | [diff] [blame] | 157 | bool HalPolicy::ConvertSub(const Operation& operation, const Model& model, ConversionData& data) |
| 158 | { |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 159 | LayerInputHandle input0 = ConvertToLayerInputHandle<hal_1_1::HalPolicy>(operation, 0, model, data); |
| 160 | LayerInputHandle input1 = ConvertToLayerInputHandle<hal_1_1::HalPolicy>(operation, 1, model, data); |
David Beck | 38e1294 | 2018-09-12 16:02:24 +0100 | [diff] [blame] | 161 | |
| 162 | if (!input0.IsValid() || !input1.IsValid()) |
| 163 | { |
| 164 | return Fail("%s: Operation has invalid inputs", __func__); |
| 165 | } |
| 166 | |
| 167 | // The FuseActivation parameter is always the input index 2 |
| 168 | // and it should be optional |
| 169 | ActivationFn activationFunction; |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 170 | if (!GetOptionalInputActivation<hal_1_1::HalPolicy>(operation, 2, activationFunction, model, data)) |
David Beck | 38e1294 | 2018-09-12 16:02:24 +0100 | [diff] [blame] | 171 | { |
| 172 | return Fail("%s: Operation has invalid inputs", __func__); |
| 173 | } |
| 174 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 175 | const Operand* outputOperand = GetOutputOperand<hal_1_1::HalPolicy>(operation, 0, model); |
David Beck | 38e1294 | 2018-09-12 16:02:24 +0100 | [diff] [blame] | 176 | if (!outputOperand) |
| 177 | { |
| 178 | return false; |
| 179 | } |
| 180 | |
Sadik Armagan | 5e9521c | 2019-07-12 13:55:57 +0100 | [diff] [blame] | 181 | armnn::TensorInfo outputInfo = GetTensorInfoForOperand(*outputOperand); |
Aron Virginas-Tar | 366e0a6 | 2019-07-10 13:01:41 +0100 | [diff] [blame] | 182 | if (IsDynamicOutput(outputInfo)) |
| 183 | { |
Sadik Armagan | 5e9521c | 2019-07-12 13:55:57 +0100 | [diff] [blame] | 184 | ALOGD("Output shape not set, will infer from inputs"); |
| 185 | outputInfo.SetShape(InferSubOutputShape(input0.GetTensorInfo().GetShape(), input1.GetTensorInfo().GetShape())); |
Aron Virginas-Tar | 366e0a6 | 2019-07-10 13:01:41 +0100 | [diff] [blame] | 186 | } |
David Beck | 38e1294 | 2018-09-12 16:02:24 +0100 | [diff] [blame] | 187 | |
Nattapat Chaimanowong | d5fd976 | 2019-04-04 13:33:10 +0100 | [diff] [blame] | 188 | if (!IsLayerSupportedForAnyBackend(__func__, |
| 189 | armnn::IsSubtractionSupported, |
| 190 | data.m_Backends, |
| 191 | input0.GetTensorInfo(), |
| 192 | input1.GetTensorInfo(), |
Aron Virginas-Tar | 366e0a6 | 2019-07-10 13:01:41 +0100 | [diff] [blame] | 193 | outputInfo)) |
David Beck | 38e1294 | 2018-09-12 16:02:24 +0100 | [diff] [blame] | 194 | { |
| 195 | return false; |
| 196 | } |
| 197 | |
| 198 | armnn::IConnectableLayer* const startLayer = data.m_Network->AddSubtractionLayer(); |
Aron Virginas-Tar | 366e0a6 | 2019-07-10 13:01:41 +0100 | [diff] [blame] | 199 | armnn::IConnectableLayer* const endLayer = ProcessActivation(outputInfo, activationFunction, startLayer, data); |
David Beck | 38e1294 | 2018-09-12 16:02:24 +0100 | [diff] [blame] | 200 | |
| 201 | const armnn::TensorInfo& inputTensorInfo0 = input0.GetTensorInfo(); |
| 202 | const armnn::TensorInfo& inputTensorInfo1 = input1.GetTensorInfo(); |
| 203 | |
| 204 | if (endLayer) |
| 205 | { |
| 206 | BroadcastTensor(input0, input1, startLayer, *data.m_Network); |
Sadik Armagan | 5e9521c | 2019-07-12 13:55:57 +0100 | [diff] [blame] | 207 | return SetupAndTrackLayerOutputSlot<hal_1_1::HalPolicy>(operation, |
| 208 | 0, |
| 209 | *endLayer, |
| 210 | model, |
| 211 | data, |
| 212 | armnn::Optional<armnn::TensorInfo>(outputInfo)); |
David Beck | 38e1294 | 2018-09-12 16:02:24 +0100 | [diff] [blame] | 213 | } |
| 214 | |
| 215 | return Fail("%s: ProcessActivation failed", __func__); |
| 216 | } |
| 217 | |
narpra01 | 3c05256 | 2018-09-17 14:25:04 +0100 | [diff] [blame] | 218 | bool HalPolicy::ConvertMean(const Operation& operation, const Model& model, ConversionData& data) |
| 219 | { |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 220 | LayerInputHandle input = ConvertToLayerInputHandle<hal_1_1::HalPolicy>(operation, 0, model, data); |
narpra01 | 3c05256 | 2018-09-17 14:25:04 +0100 | [diff] [blame] | 221 | if (!input.IsValid()) |
| 222 | { |
| 223 | return Fail("%s: Operation has invalid inputs", __func__); |
| 224 | } |
| 225 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 226 | const Operand* axisOperand = GetInputOperand<hal_1_1::HalPolicy>(operation, 1, model); |
Matteo Martincigh | ae622b7 | 2018-10-23 18:25:38 +0100 | [diff] [blame] | 227 | if (!axisOperand) |
| 228 | { |
| 229 | return Fail("%s: Could not read input 1", __func__); |
| 230 | } |
| 231 | |
| 232 | std::vector<int32_t> axis; |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 233 | if (!GetTensorInt32Values<hal_1_1::HalPolicy>(*axisOperand, axis, model, data)) |
Matteo Martincigh | ae622b7 | 2018-10-23 18:25:38 +0100 | [diff] [blame] | 234 | { |
| 235 | return Fail("%s: Input 1 has invalid values", __func__); |
| 236 | } |
| 237 | |
| 238 | const armnn::TensorInfo& inputInfo = input.GetTensorInfo(); |
| 239 | |
| 240 | // Convert the axis to unsigned int and remove duplicates. |
| 241 | unsigned int rank = inputInfo.GetNumDimensions(); |
| 242 | std::set<unsigned int> uniqueAxis; |
| 243 | std::transform(axis.begin(), axis.end(), |
| 244 | std::inserter(uniqueAxis, uniqueAxis.begin()), |
| 245 | [rank](int i) -> unsigned int { return (i + rank) % rank; }); |
| 246 | |
| 247 | // Get the "keep dims" flag. |
| 248 | int32_t keepDims = 0; |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 249 | if (!GetInputInt32<hal_1_1::HalPolicy>(operation, 2, keepDims, model, data)) |
Matteo Martincigh | ae622b7 | 2018-10-23 18:25:38 +0100 | [diff] [blame] | 250 | { |
| 251 | return Fail("%s: Could not read input 2", __func__); |
| 252 | } |
narpra01 | 3c05256 | 2018-09-17 14:25:04 +0100 | [diff] [blame] | 253 | |
| 254 | armnn::MeanDescriptor descriptor; |
Matteo Martincigh | ae622b7 | 2018-10-23 18:25:38 +0100 | [diff] [blame] | 255 | descriptor.m_Axis.assign(uniqueAxis.begin(), uniqueAxis.end()); |
| 256 | descriptor.m_KeepDims = keepDims > 0; |
narpra01 | 3c05256 | 2018-09-17 14:25:04 +0100 | [diff] [blame] | 257 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 258 | const Operand* output = GetOutputOperand<hal_1_1::HalPolicy>(operation, 0, model); |
narpra01 | 3c05256 | 2018-09-17 14:25:04 +0100 | [diff] [blame] | 259 | if (!output) |
| 260 | { |
| 261 | return Fail("%s: Could not read output 0", __func__); |
| 262 | } |
| 263 | |
| 264 | const armnn::TensorInfo& outputInfo = GetTensorInfoForOperand(*output); |
| 265 | |
Nattapat Chaimanowong | d5fd976 | 2019-04-04 13:33:10 +0100 | [diff] [blame] | 266 | if (!IsLayerSupportedForAnyBackend(__func__, |
| 267 | armnn::IsMeanSupported, |
| 268 | data.m_Backends, |
| 269 | inputInfo, |
| 270 | outputInfo, |
| 271 | descriptor)) |
narpra01 | 3c05256 | 2018-09-17 14:25:04 +0100 | [diff] [blame] | 272 | { |
| 273 | return false; |
| 274 | } |
| 275 | |
| 276 | armnn::IConnectableLayer* const layer = data.m_Network->AddMeanLayer(descriptor); |
narpra01 | 96bedf0 | 2018-09-26 16:57:28 +0100 | [diff] [blame] | 277 | assert(layer != nullptr); |
| 278 | input.Connect(layer->GetInputSlot(0)); |
narpra01 | 3c05256 | 2018-09-17 14:25:04 +0100 | [diff] [blame] | 279 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 280 | return SetupAndTrackLayerOutputSlot<hal_1_1::HalPolicy>(operation, 0, *layer, model, data); |
narpra01 | 3c05256 | 2018-09-17 14:25:04 +0100 | [diff] [blame] | 281 | } |
| 282 | |
Nina Drozd | 62a4a9f | 2018-10-01 14:20:25 +0100 | [diff] [blame] | 283 | bool HalPolicy::ConvertPad(const Operation& operation, const Model& model, ConversionData& data) |
| 284 | { |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 285 | LayerInputHandle input = ConvertToLayerInputHandle<hal_1_1::HalPolicy>(operation, 0, model, data); |
Nina Drozd | 62a4a9f | 2018-10-01 14:20:25 +0100 | [diff] [blame] | 286 | if (!input.IsValid()) |
| 287 | { |
| 288 | return Fail("%s: Operation has invalid inputs", __func__); |
| 289 | } |
| 290 | |
| 291 | const armnn::TensorInfo& inputInfo = input.GetTensorInfo(); |
Nina Drozd | 62a4a9f | 2018-10-01 14:20:25 +0100 | [diff] [blame] | 292 | unsigned int rank = inputInfo.GetNumDimensions(); |
Nina Drozd | 62a4a9f | 2018-10-01 14:20:25 +0100 | [diff] [blame] | 293 | |
Nina Drozd | 62a4a9f | 2018-10-01 14:20:25 +0100 | [diff] [blame] | 294 | armnn::PadDescriptor descriptor; |
Aron Virginas-Tar | cb8ac84 | 2019-07-05 15:47:07 +0100 | [diff] [blame] | 295 | if (!ConvertPaddings<hal_1_1::HalPolicy>(operation, model, data, rank, descriptor)) |
Nina Drozd | 62a4a9f | 2018-10-01 14:20:25 +0100 | [diff] [blame] | 296 | { |
Aron Virginas-Tar | cb8ac84 | 2019-07-05 15:47:07 +0100 | [diff] [blame] | 297 | return Fail("%s: Could not convert paddings", __func__); |
Nina Drozd | 62a4a9f | 2018-10-01 14:20:25 +0100 | [diff] [blame] | 298 | } |
| 299 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 300 | const Operand* output = GetOutputOperand<hal_1_1::HalPolicy>(operation, 0, model); |
Nina Drozd | 62a4a9f | 2018-10-01 14:20:25 +0100 | [diff] [blame] | 301 | if (!output) |
| 302 | { |
Aron Virginas-Tar | cb8ac84 | 2019-07-05 15:47:07 +0100 | [diff] [blame] | 303 | return Fail("%s: Could not read output", __func__); |
Nina Drozd | 62a4a9f | 2018-10-01 14:20:25 +0100 | [diff] [blame] | 304 | } |
| 305 | |
Sadik Armagan | 310d8ff | 2019-07-11 10:53:38 +0100 | [diff] [blame] | 306 | armnn::TensorInfo outputInfo = GetTensorInfoForOperand(*output); |
Aron Virginas-Tar | 366e0a6 | 2019-07-10 13:01:41 +0100 | [diff] [blame] | 307 | if (IsDynamicOutput(outputInfo)) |
| 308 | { |
Sadik Armagan | 310d8ff | 2019-07-11 10:53:38 +0100 | [diff] [blame] | 309 | ALOGD("Output shape not set, will infer from inputs"); |
| 310 | outputInfo.SetShape(InferPadOutputShape(inputInfo.GetShape(), descriptor.m_PadList)); |
Aron Virginas-Tar | 366e0a6 | 2019-07-10 13:01:41 +0100 | [diff] [blame] | 311 | } |
Nina Drozd | 62a4a9f | 2018-10-01 14:20:25 +0100 | [diff] [blame] | 312 | |
Nattapat Chaimanowong | d5fd976 | 2019-04-04 13:33:10 +0100 | [diff] [blame] | 313 | if (!IsLayerSupportedForAnyBackend(__func__, |
| 314 | armnn::IsPadSupported, |
| 315 | data.m_Backends, |
| 316 | inputInfo, |
| 317 | outputInfo, |
| 318 | descriptor)) |
Nina Drozd | 62a4a9f | 2018-10-01 14:20:25 +0100 | [diff] [blame] | 319 | { |
| 320 | return false; |
| 321 | } |
| 322 | |
| 323 | armnn::IConnectableLayer* const layer = data.m_Network->AddPadLayer(descriptor); |
| 324 | assert(layer != nullptr); |
| 325 | input.Connect(layer->GetInputSlot(0)); |
| 326 | layer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 327 | |
Sadik Armagan | 310d8ff | 2019-07-11 10:53:38 +0100 | [diff] [blame] | 328 | return SetupAndTrackLayerOutputSlot<hal_1_1::HalPolicy>(operation, |
| 329 | 0, |
| 330 | *layer, |
| 331 | model, |
| 332 | data, |
| 333 | armnn::Optional<armnn::TensorInfo>(outputInfo)); |
Nina Drozd | 62a4a9f | 2018-10-01 14:20:25 +0100 | [diff] [blame] | 334 | } |
| 335 | |
Nattapat Chaimanowong | 81a6834 | 2018-11-05 14:04:47 +0000 | [diff] [blame] | 336 | bool HalPolicy::ConvertSpaceToBatchNd(const Operation& operation, const Model& model, ConversionData& data) |
| 337 | { |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 338 | LayerInputHandle input = ConvertToLayerInputHandle<hal_1_1::HalPolicy>(operation, 0, model, data); |
Nattapat Chaimanowong | 81a6834 | 2018-11-05 14:04:47 +0000 | [diff] [blame] | 339 | |
| 340 | if (!input.IsValid()) |
| 341 | { |
| 342 | return Fail("%s: Operation has invalid inputs", __func__); |
| 343 | } |
| 344 | |
| 345 | const armnn::TensorInfo& inputInfo = input.GetTensorInfo(); |
| 346 | unsigned int rank = inputInfo.GetNumDimensions(); |
| 347 | unsigned int spatialDim = rank - 2; |
| 348 | |
| 349 | if (rank != 4) |
| 350 | { |
| 351 | Fail("%s: Only inputs with rank 4 are supported", __func__); |
| 352 | } |
| 353 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 354 | const Operand* blockShapeOperand = GetInputOperand<hal_1_1::HalPolicy>(operation, 1, model); |
| 355 | const Operand* paddingsOperand = GetInputOperand<hal_1_1::HalPolicy>(operation, 2, model); |
Nattapat Chaimanowong | 81a6834 | 2018-11-05 14:04:47 +0000 | [diff] [blame] | 356 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 357 | armnn::TensorShape blockShapeOperandShape = GetTensorShapeForOperand(*blockShapeOperand); |
Nattapat Chaimanowong | 81a6834 | 2018-11-05 14:04:47 +0000 | [diff] [blame] | 358 | if (blockShapeOperandShape.GetNumDimensions() != 1 || blockShapeOperandShape.GetNumElements() != spatialDim) |
| 359 | { |
| 360 | return Fail("%s: Operation has invalid block shape operand: expected shape [%d]", __func__, spatialDim); |
| 361 | } |
| 362 | |
| 363 | std::vector<int32_t> blockShape; |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 364 | GetTensorInt32Values<hal_1_1::HalPolicy>(*blockShapeOperand, blockShape, model, data); |
Sadik Armagan | 8bef7b3 | 2018-12-20 14:14:12 +0000 | [diff] [blame] | 365 | 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] | 366 | { |
Sadik Armagan | 8bef7b3 | 2018-12-20 14:14:12 +0000 | [diff] [blame] | 367 | 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] | 368 | } |
| 369 | |
| 370 | armnn::TensorShape paddingsOperandShape = GetTensorShapeForOperand(*paddingsOperand); |
| 371 | if (paddingsOperandShape.GetNumDimensions() != 2 || paddingsOperandShape.GetNumElements() != 2 * spatialDim) |
| 372 | { |
| 373 | return Fail("%s: Operation has invalid paddings operand: expected shape [%d, 2]", __func__, spatialDim); |
| 374 | } |
| 375 | |
Sadik Armagan | 8bef7b3 | 2018-12-20 14:14:12 +0000 | [diff] [blame] | 376 | std::vector<std::pair<unsigned int, unsigned int>> paddingList; |
Nattapat Chaimanowong | 81a6834 | 2018-11-05 14:04:47 +0000 | [diff] [blame] | 377 | std::vector<int32_t> paddings; |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 378 | GetTensorInt32Values<hal_1_1::HalPolicy>(*paddingsOperand, paddings, model, data); |
Nattapat Chaimanowong | 81a6834 | 2018-11-05 14:04:47 +0000 | [diff] [blame] | 379 | for (unsigned int i = 0; i < paddings.size() - 1; i += 2) |
| 380 | { |
| 381 | int paddingBeforeInput = paddings[i]; |
| 382 | int paddingAfterInput = paddings[i + 1]; |
| 383 | if (paddingBeforeInput < 0 || paddingAfterInput < 0) |
| 384 | { |
| 385 | return Fail("%s: Operation has invalid paddings operand, invalid padding values.", __func__); |
| 386 | } |
| 387 | |
Sadik Armagan | 8bef7b3 | 2018-12-20 14:14:12 +0000 | [diff] [blame] | 388 | paddingList.emplace_back((unsigned int) paddingBeforeInput, (unsigned int) paddingAfterInput); |
Nattapat Chaimanowong | 81a6834 | 2018-11-05 14:04:47 +0000 | [diff] [blame] | 389 | } |
| 390 | |
Sadik Armagan | 8bef7b3 | 2018-12-20 14:14:12 +0000 | [diff] [blame] | 391 | armnn::SpaceToBatchNdDescriptor descriptor; |
| 392 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 393 | descriptor.m_BlockShape.assign(blockShape.cbegin(), blockShape.cend()); |
| 394 | descriptor.m_PadList.assign(paddingList.cbegin(), paddingList.cend()); |
| 395 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 396 | const Operand* output = GetOutputOperand<hal_1_1::HalPolicy>(operation, 0, model); |
Nattapat Chaimanowong | 81a6834 | 2018-11-05 14:04:47 +0000 | [diff] [blame] | 397 | if (!output) |
| 398 | { |
| 399 | return Fail("%s: Could not read output 0", __func__); |
| 400 | } |
| 401 | |
| 402 | const armnn::TensorInfo& outputInfo = GetTensorInfoForOperand(*output); |
Nattapat Chaimanowong | d5fd976 | 2019-04-04 13:33:10 +0100 | [diff] [blame] | 403 | if (!IsLayerSupportedForAnyBackend(__func__, |
| 404 | armnn::IsSpaceToBatchNdSupported, |
| 405 | data.m_Backends, |
| 406 | inputInfo, |
| 407 | outputInfo, |
| 408 | descriptor)) |
Nattapat Chaimanowong | 81a6834 | 2018-11-05 14:04:47 +0000 | [diff] [blame] | 409 | { |
| 410 | return false; |
| 411 | } |
| 412 | |
| 413 | armnn::IConnectableLayer* const layer = data.m_Network->AddSpaceToBatchNdLayer(descriptor); |
| 414 | assert(layer != nullptr); |
| 415 | input.Connect(layer->GetInputSlot(0)); |
| 416 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 417 | return SetupAndTrackLayerOutputSlot<hal_1_1::HalPolicy>(operation, 0, *layer, model, data); |
Nattapat Chaimanowong | 81a6834 | 2018-11-05 14:04:47 +0000 | [diff] [blame] | 418 | } |
| 419 | |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 420 | bool HalPolicy::ConvertSqueeze(const Operation& operation, const Model& model, ConversionData& data) |
| 421 | { |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 422 | LayerInputHandle input = ConvertToLayerInputHandle<hal_1_1::HalPolicy>(operation, 0, model, data); |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 423 | |
| 424 | if (!input.IsValid()) |
| 425 | { |
| 426 | return Fail("%s: Operation has invalid inputs", __func__); |
| 427 | } |
| 428 | |
| 429 | const armnn::TensorInfo& inputInfo = input.GetTensorInfo(); |
| 430 | |
| 431 | unsigned int rank = inputInfo.GetNumDimensions(); |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 432 | if (rank > 4) |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 433 | { |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 434 | Fail("%s: Inputs with rank greater than 4 are not supported", __func__); |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 435 | } |
| 436 | |
| 437 | // NOTE: Axis is an optional parameter to SQUEEZE, therefore we do not want to generate a failure |
| 438 | // if the operand index is out of bounds. |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 439 | const Operand* axisOperand = GetInputOperand<hal_1_1::HalPolicy>(operation, 1, model, false); |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 440 | |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 441 | const uint32_t dimensionSequence[] = { 0, 1, 2, 3 }; |
| 442 | |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 443 | std::vector<int32_t> axis; |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 444 | if (!axisOperand) |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 445 | { |
| 446 | axis.assign(dimensionSequence, |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 447 | dimensionSequence + rank); |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 448 | } |
| 449 | else |
| 450 | { |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 451 | GetTensorInt32Values<hal_1_1::HalPolicy>(*axisOperand, axis, model, data); |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 452 | } |
| 453 | |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 454 | |
saoste01 | a893efa | 2018-10-13 11:56:12 +0100 | [diff] [blame] | 455 | std::vector<uint32_t> outputDims; |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 456 | for (unsigned int i = 0; i < rank; i++) |
saoste01 | a893efa | 2018-10-13 11:56:12 +0100 | [diff] [blame] | 457 | { |
| 458 | bool skipSqueeze = (std::find(axis.begin(), axis.end(), i) == axis.end()); |
| 459 | auto currentDimension = inputInfo.GetShape()[i]; |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 460 | if (skipSqueeze || currentDimension != 1) |
| 461 | { |
| 462 | outputDims.push_back(currentDimension); |
| 463 | } |
| 464 | } |
| 465 | |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 466 | armnn::TensorShape outShape = armnn::TensorShape(outputDims.size(), outputDims.data()); |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 467 | |
| 468 | armnn::TensorInfo outputInfo = inputInfo; |
| 469 | outputInfo.SetShape(outShape); |
| 470 | |
| 471 | armnn::ReshapeDescriptor reshapeDesc; |
| 472 | reshapeDesc.m_TargetShape = outputInfo.GetShape(); |
| 473 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 474 | const Operand* output = GetOutputOperand<hal_1_1::HalPolicy>(operation, 0, model); |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 475 | if (!output) |
| 476 | { |
| 477 | return Fail("%s: Could not read output 0", __func__); |
| 478 | } |
| 479 | |
Nattapat Chaimanowong | d5fd976 | 2019-04-04 13:33:10 +0100 | [diff] [blame] | 480 | if (!IsLayerSupportedForAnyBackend(__func__, |
| 481 | armnn::IsReshapeSupported, |
| 482 | data.m_Backends, |
| 483 | inputInfo, |
| 484 | reshapeDesc)) |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 485 | { |
| 486 | return false; |
| 487 | } |
| 488 | |
| 489 | armnn::IConnectableLayer* const layer = data.m_Network->AddReshapeLayer(reshapeDesc); |
| 490 | assert(layer != nullptr); |
| 491 | input.Connect(layer->GetInputSlot(0)); |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 492 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 493 | return SetupAndTrackLayerOutputSlot<hal_1_1::HalPolicy>(operation, 0, *layer, model, data); |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 494 | } |
| 495 | |
Sadik Armagan | 758eee8 | 2018-11-15 15:34:49 +0000 | [diff] [blame] | 496 | bool HalPolicy::ConvertStridedSlice(const Operation& operation, const Model& model, ConversionData& data) |
| 497 | { |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 498 | LayerInputHandle input = ConvertToLayerInputHandle<hal_1_1::HalPolicy>(operation, 0, model, data); |
Sadik Armagan | 758eee8 | 2018-11-15 15:34:49 +0000 | [diff] [blame] | 499 | if (!input.IsValid()) |
| 500 | { |
| 501 | return Fail("%s: Operation has invalid inputs", __func__); |
| 502 | } |
| 503 | const armnn::TensorInfo& inputInfo = input.GetTensorInfo(); |
| 504 | |
| 505 | unsigned int rank = inputInfo.GetNumDimensions(); |
| 506 | if (rank > 4) |
| 507 | { |
| 508 | Fail("%s: Inputs with rank greater than 4 are not supported", __func__); |
| 509 | } |
| 510 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 511 | const Operand* beginOperand = GetInputOperand<hal_1_1::HalPolicy>(operation, 1, model); |
| 512 | const Operand* endOperand = GetInputOperand<hal_1_1::HalPolicy>(operation, 2, model); |
| 513 | const Operand* stridesOperand = GetInputOperand<hal_1_1::HalPolicy>(operation, 3, model); |
Sadik Armagan | 758eee8 | 2018-11-15 15:34:49 +0000 | [diff] [blame] | 514 | |
| 515 | std::vector<int32_t> beginValues; |
| 516 | std::vector<int32_t> endValues; |
| 517 | std::vector<int32_t> stridesValues; |
| 518 | |
| 519 | // The length of the beginOperand, endOperand and stridesOperand must be of a rank(input) |
| 520 | auto ValidateInputOperands = [&] (const Operand& operand, std::vector<int32_t>& operandValues) |
| 521 | { |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 522 | if (!GetTensorInt32Values<hal_1_1::HalPolicy>(operand, operandValues, model, data)) |
Sadik Armagan | 758eee8 | 2018-11-15 15:34:49 +0000 | [diff] [blame] | 523 | { |
| 524 | return false; |
| 525 | } |
| 526 | |
| 527 | if (operandValues.size() != rank) |
| 528 | { |
| 529 | return false; |
| 530 | } |
| 531 | |
| 532 | return true; |
| 533 | }; |
| 534 | |
| 535 | if (!ValidateInputOperands(*beginOperand, beginValues) |
| 536 | || !ValidateInputOperands(*endOperand, endValues) |
| 537 | || !ValidateInputOperands(*stridesOperand, stridesValues)) |
| 538 | { |
| 539 | return Fail("%s: Operation has invalid input operand", __func__); |
| 540 | } |
| 541 | |
| 542 | // Stride cannot have value '0' |
| 543 | if (std::any_of(stridesValues.cbegin(), stridesValues.cend(), [](int32_t i){ return i == 0; })) |
| 544 | { |
| 545 | return Fail("%s: Stride must be non-zero value.", __func__); |
| 546 | } |
| 547 | |
| 548 | armnn::StridedSliceDescriptor descriptor; |
| 549 | descriptor.m_Begin.assign(beginValues.cbegin(), beginValues.cend()); |
| 550 | descriptor.m_End.assign(endValues.cbegin(), endValues.cend()); |
| 551 | descriptor.m_Stride.assign(stridesValues.cbegin(), stridesValues.cend()); |
| 552 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 553 | |
| 554 | // Get the "begin_mask", "end_mask", and "shrink_axis_mask" flags |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 555 | if (!GetInputInt32<hal_1_1::HalPolicy>(operation, 4, descriptor.m_BeginMask, model, data) || |
| 556 | !GetInputInt32<hal_1_1::HalPolicy>(operation, 5, descriptor.m_EndMask, model, data) || |
| 557 | !GetInputInt32<hal_1_1::HalPolicy>(operation, 6, descriptor.m_ShrinkAxisMask, model, data)) |
Sadik Armagan | 758eee8 | 2018-11-15 15:34:49 +0000 | [diff] [blame] | 558 | { |
| 559 | return Fail("%s: Operation has invalid inputs", __func__); |
| 560 | } |
| 561 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 562 | const Operand* output = GetOutputOperand<hal_1_1::HalPolicy>(operation, 0, model); |
Sadik Armagan | 758eee8 | 2018-11-15 15:34:49 +0000 | [diff] [blame] | 563 | if (!output) |
| 564 | { |
| 565 | return Fail("%s: Could not read output 0", __func__); |
| 566 | } |
| 567 | const armnn::TensorInfo& outputInfo = GetTensorInfoForOperand(*output); |
| 568 | |
Nattapat Chaimanowong | d5fd976 | 2019-04-04 13:33:10 +0100 | [diff] [blame] | 569 | if (!IsLayerSupportedForAnyBackend(__func__, |
| 570 | armnn::IsStridedSliceSupported, |
| 571 | data.m_Backends, |
| 572 | inputInfo, |
| 573 | outputInfo, |
| 574 | descriptor)) |
Sadik Armagan | 758eee8 | 2018-11-15 15:34:49 +0000 | [diff] [blame] | 575 | { |
| 576 | return false; |
| 577 | } |
| 578 | |
| 579 | armnn::IConnectableLayer* const layer = data.m_Network->AddStridedSliceLayer(descriptor); |
| 580 | assert(layer != nullptr); |
| 581 | input.Connect(layer->GetInputSlot(0)); |
| 582 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 583 | return SetupAndTrackLayerOutputSlot<hal_1_1::HalPolicy>(operation, 0, *layer, model, data); |
Sadik Armagan | 758eee8 | 2018-11-15 15:34:49 +0000 | [diff] [blame] | 584 | } |
| 585 | |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 586 | bool HalPolicy::ConvertTranspose(const Operation& operation, const Model& model, ConversionData& data) |
| 587 | { |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 588 | LayerInputHandle input = ConvertToLayerInputHandle<hal_1_1::HalPolicy>(operation, 0, model, data); |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 589 | |
| 590 | if (!input.IsValid()) |
| 591 | { |
| 592 | return Fail("%s: Operation has invalid inputs", __func__); |
| 593 | } |
| 594 | |
| 595 | const armnn::TensorInfo& inputInfo = input.GetTensorInfo(); |
| 596 | |
| 597 | unsigned int rank = inputInfo.GetNumDimensions(); |
| 598 | if (rank > 4) |
| 599 | { |
| 600 | Fail("%s: Inputs with rank greater than 4 are not supported", __func__); |
| 601 | } |
| 602 | |
| 603 | // NOTE: Axis is an optional parameter to TRANSPOSE, therefore we do not want to generate a failure |
| 604 | // if the operand index is out of bounds. |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 605 | const Operand* permOperand = GetInputOperand<hal_1_1::HalPolicy>(operation, 1, model, false); |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 606 | |
| 607 | std::vector<int32_t> perm(rank); |
| 608 | if (!permOperand) |
| 609 | { |
| 610 | // NOTE: If perm is not given, it is set to (n-1...0), where n is the rank of the tensor |
| 611 | for (unsigned int i = rank; i > 0; i--) |
| 612 | { |
| 613 | perm[rank - i] = boost::numeric_cast<int> (i - 1); |
| 614 | } |
| 615 | } |
| 616 | else |
| 617 | { |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 618 | GetTensorInt32Values<hal_1_1::HalPolicy>(*permOperand, perm, model, data); |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 619 | } |
| 620 | |
| 621 | std::vector<uint32_t> outputDims(perm.begin(), perm.begin() + rank); |
| 622 | |
| 623 | auto permutationVector = armnn::PermutationVector(outputDims.data(), outputDims.size()); |
| 624 | if (!permutationVector.IsEqual(NHWCToArmNN) |
| 625 | && !permutationVector.IsEqual(ArmNNToNHWC) |
| 626 | && !permutationVector.IsEqual({ 3, 2, 0, 1 })) |
| 627 | { |
| 628 | return Fail("%s: Only [0, 3, 1, 2], [0, 2, 3, 1] and [3, 2, 0, 1] permutations are supported.", __func__); |
| 629 | } |
| 630 | |
| 631 | armnn::PermuteDescriptor permuteDesc; |
| 632 | permuteDesc.m_DimMappings = permutationVector; |
| 633 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 634 | const Operand* output = GetOutputOperand<hal_1_1::HalPolicy>(operation, 0, model); |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 635 | if (!output) |
| 636 | { |
| 637 | return Fail("%s: Could not read output 0", __func__); |
| 638 | } |
| 639 | |
| 640 | const armnn::TensorInfo& outputInfo = GetTensorInfoForOperand(*output); |
| 641 | |
Nattapat Chaimanowong | d5fd976 | 2019-04-04 13:33:10 +0100 | [diff] [blame] | 642 | if (!IsLayerSupportedForAnyBackend(__func__, |
| 643 | armnn::IsPermuteSupported, |
| 644 | data.m_Backends, |
| 645 | inputInfo, |
| 646 | outputInfo, |
| 647 | permuteDesc)) |
saoste01 | fe46315 | 2018-10-18 17:49:56 +0100 | [diff] [blame] | 648 | { |
| 649 | return false; |
| 650 | } |
| 651 | |
| 652 | armnn::IConnectableLayer* const layer = data.m_Network->AddPermuteLayer(permuteDesc); |
| 653 | assert(layer != nullptr); |
| 654 | input.Connect(layer->GetInputSlot(0)); |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 655 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 656 | return SetupAndTrackLayerOutputSlot<hal_1_1::HalPolicy>(operation, 0, *layer, model, data); |
saoste01 | b847148 | 2018-10-10 09:44:51 +0100 | [diff] [blame] | 657 | } |
| 658 | |
Éanna Ó Catháin | 2cd99b9 | 2018-11-14 14:33:52 +0000 | [diff] [blame] | 659 | bool HalPolicy::ConvertBatchToSpaceNd(const Operation& operation, const Model& model, ConversionData& data) |
| 660 | { |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 661 | LayerInputHandle input = ConvertToLayerInputHandle<hal_1_1::HalPolicy>(operation, 0, model, data); |
Éanna Ó Catháin | 2cd99b9 | 2018-11-14 14:33:52 +0000 | [diff] [blame] | 662 | if (!input.IsValid()) |
| 663 | { |
| 664 | return Fail("%s: Operation has invalid inputs", __func__); |
| 665 | } |
| 666 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 667 | const Operand* blockOperand = GetInputOperand<hal_1_1::HalPolicy>(operation, 1, model); |
Éanna Ó Catháin | 2cd99b9 | 2018-11-14 14:33:52 +0000 | [diff] [blame] | 668 | if (!blockOperand) |
| 669 | { |
| 670 | return Fail("%s: Could not read input 1", __func__); |
| 671 | } |
| 672 | |
| 673 | // Convert the block operand to int32 |
| 674 | std::vector<int32_t> block; |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 675 | if (!GetTensorInt32Values<hal_1_1::HalPolicy>(*blockOperand, block, model, data)) |
Éanna Ó Catháin | 2cd99b9 | 2018-11-14 14:33:52 +0000 | [diff] [blame] | 676 | { |
| 677 | return Fail("%s: Input 1 has invalid values", __func__); |
| 678 | } |
| 679 | |
| 680 | const armnn::TensorInfo& inputInfo = input.GetTensorInfo(); |
| 681 | |
| 682 | unsigned int rank = inputInfo.GetNumDimensions(); |
| 683 | if (rank != 4) |
| 684 | { |
| 685 | Fail("%s: Only inputs with rank equal to 4 are supported", __func__); |
| 686 | } |
| 687 | |
| 688 | if (std::any_of(block.cbegin(), block.cend(), [](int32_t i){ return i < 1; })) |
| 689 | { |
| 690 | return Fail("%s: Block sizes for each spatial dimension of the input tensor must be" |
| 691 | " greater than or equal to 1", __func__); |
| 692 | } |
| 693 | |
| 694 | armnn::BatchToSpaceNdDescriptor batchToSpaceNdDesc; |
| 695 | batchToSpaceNdDesc.m_BlockShape.assign(block.cbegin(), block.cend()); |
| 696 | batchToSpaceNdDesc.m_DataLayout = armnn::DataLayout::NHWC; |
| 697 | |
| 698 | // Setting crops to 0,0 0,0 as it is not supported in Android NN API |
| 699 | batchToSpaceNdDesc.m_Crops = {{0, 0}, {0, 0}}; |
| 700 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 701 | const Operand* output = GetOutputOperand<hal_1_1::HalPolicy>(operation, 0, model); |
Éanna Ó Catháin | 2cd99b9 | 2018-11-14 14:33:52 +0000 | [diff] [blame] | 702 | if (!output) |
| 703 | { |
| 704 | return Fail("%s: Could not read output 0", __func__); |
| 705 | } |
| 706 | |
| 707 | const armnn::TensorInfo& outputInfo = GetTensorInfoForOperand(*output); |
| 708 | |
Nattapat Chaimanowong | d5fd976 | 2019-04-04 13:33:10 +0100 | [diff] [blame] | 709 | if (!IsLayerSupportedForAnyBackend(__func__, |
| 710 | armnn::IsBatchToSpaceNdSupported, |
| 711 | data.m_Backends, |
| 712 | inputInfo, |
| 713 | outputInfo, |
| 714 | batchToSpaceNdDesc)) |
Éanna Ó Catháin | 2cd99b9 | 2018-11-14 14:33:52 +0000 | [diff] [blame] | 715 | { |
| 716 | return false; |
| 717 | } |
| 718 | |
| 719 | armnn::IConnectableLayer* const layer = data.m_Network->AddBatchToSpaceNdLayer(batchToSpaceNdDesc); |
| 720 | assert(layer != nullptr); |
| 721 | input.Connect(layer->GetInputSlot(0)); |
| 722 | |
Aron Virginas-Tar | cd700e4 | 2019-06-14 14:54:52 +0100 | [diff] [blame] | 723 | return SetupAndTrackLayerOutputSlot<hal_1_1::HalPolicy>(operation, 0, *layer, model, data); |
Éanna Ó Catháin | 2cd99b9 | 2018-11-14 14:33:52 +0000 | [diff] [blame] | 724 | } |
| 725 | |
arovir01 | b0717b5 | 2018-09-05 17:03:25 +0100 | [diff] [blame] | 726 | } // namespace hal_1_1 |
Aron Virginas-Tar | cb8ac84 | 2019-07-05 15:47:07 +0100 | [diff] [blame] | 727 | } // namespace armnn_driver |