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 | |
| 10 | namespace armnn_driver |
| 11 | { |
| 12 | namespace hal_1_1 |
| 13 | { |
| 14 | |
| 15 | bool HalPolicy::ConvertOperation(const Operation& operation, const Model& model, ConversionData& data) |
| 16 | { |
| 17 | if (compliantWithV1_0(operation)) |
| 18 | { |
| 19 | hal_1_0::HalPolicy::Operation v10Operation = convertToV1_0(operation); |
| 20 | hal_1_0::HalPolicy::Model v10Model = convertToV1_0(model); |
| 21 | |
| 22 | return hal_1_0::HalPolicy::ConvertOperation(v10Operation, v10Model, data); |
| 23 | } |
| 24 | else |
| 25 | { |
| 26 | switch (operation.type) |
| 27 | { |
| 28 | case V1_1::OperationType::DIV: |
| 29 | return ConvertDiv(operation, model, data); |
David Beck | 38e1294 | 2018-09-12 16:02:24 +0100 | [diff] [blame] | 30 | case V1_1::OperationType::SUB: |
| 31 | return ConvertSub(operation, model, data); |
narpra01 | 3c05256 | 2018-09-17 14:25:04 +0100 | [diff] [blame] | 32 | case V1_1::OperationType::MEAN: |
| 33 | return ConvertMean(operation, model, data); |
Nina Drozd | 62a4a9f | 2018-10-01 14:20:25 +0100 | [diff] [blame] | 34 | case V1_1::OperationType::PAD: |
| 35 | return ConvertPad(operation, model, data); |
arovir01 | b0717b5 | 2018-09-05 17:03:25 +0100 | [diff] [blame] | 36 | default: |
| 37 | return Fail("%s: Operation type %s not supported in ArmnnDriver", |
| 38 | __func__, toString(operation.type).c_str()); |
| 39 | } |
| 40 | } |
| 41 | } |
| 42 | |
| 43 | bool HalPolicy::ConvertDiv(const Operation& operation, const Model& model, ConversionData& data) |
| 44 | { |
| 45 | LayerInputHandle input0 = ConvertToLayerInputHandle(operation, 0, model, data); |
| 46 | LayerInputHandle input1 = ConvertToLayerInputHandle(operation, 1, model, data); |
| 47 | |
| 48 | if (!input0.IsValid() || !input1.IsValid()) |
| 49 | { |
| 50 | return Fail("%s: Operation has invalid inputs", __func__); |
| 51 | } |
| 52 | |
| 53 | // The FuseActivation parameter is always the input index 2 |
| 54 | // and it should be optional |
| 55 | ActivationFn activationFunction; |
| 56 | if (!GetOptionalInputActivation(operation, 2, activationFunction, model, data)) |
| 57 | { |
| 58 | return Fail("%s: Operation has invalid inputs", __func__); |
| 59 | } |
| 60 | |
| 61 | const Operand* outputOperand = GetOutputOperand(operation, 0, model); |
| 62 | if (!outputOperand) |
| 63 | { |
| 64 | return false; |
| 65 | } |
| 66 | |
| 67 | const armnn::TensorInfo& outInfo = GetTensorInfoForOperand(*outputOperand); |
| 68 | |
| 69 | if (!IsLayerSupported(__func__, |
| 70 | armnn::IsDivisionSupported, |
| 71 | data.m_Compute, |
| 72 | input0.GetTensorInfo(), |
| 73 | input1.GetTensorInfo(), |
| 74 | outInfo)) |
| 75 | { |
| 76 | return false; |
| 77 | } |
| 78 | |
| 79 | armnn::IConnectableLayer* const startLayer = data.m_Network->AddDivisionLayer(); |
| 80 | armnn::IConnectableLayer* const endLayer = ProcessActivation(outInfo, activationFunction, startLayer, data); |
| 81 | |
| 82 | const armnn::TensorInfo& inputTensorInfo0 = input0.GetTensorInfo(); |
| 83 | const armnn::TensorInfo& inputTensorInfo1 = input1.GetTensorInfo(); |
| 84 | |
| 85 | if (endLayer) |
| 86 | { |
| 87 | BroadcastTensor(input0, input1, startLayer, *data.m_Network); |
| 88 | return SetupAndTrackLayerOutputSlot(operation, 0, *endLayer, model, data); |
| 89 | } |
| 90 | |
| 91 | return Fail("%s: ProcessActivation failed", __func__); |
| 92 | } |
| 93 | |
David Beck | 38e1294 | 2018-09-12 16:02:24 +0100 | [diff] [blame] | 94 | bool HalPolicy::ConvertSub(const Operation& operation, const Model& model, ConversionData& data) |
| 95 | { |
| 96 | LayerInputHandle input0 = ConvertToLayerInputHandle(operation, 0, model, data); |
| 97 | LayerInputHandle input1 = ConvertToLayerInputHandle(operation, 1, model, data); |
| 98 | |
| 99 | if (!input0.IsValid() || !input1.IsValid()) |
| 100 | { |
| 101 | return Fail("%s: Operation has invalid inputs", __func__); |
| 102 | } |
| 103 | |
| 104 | // The FuseActivation parameter is always the input index 2 |
| 105 | // and it should be optional |
| 106 | ActivationFn activationFunction; |
| 107 | if (!GetOptionalInputActivation(operation, 2, activationFunction, model, data)) |
| 108 | { |
| 109 | return Fail("%s: Operation has invalid inputs", __func__); |
| 110 | } |
| 111 | |
| 112 | const Operand* outputOperand = GetOutputOperand(operation, 0, model); |
| 113 | if (!outputOperand) |
| 114 | { |
| 115 | return false; |
| 116 | } |
| 117 | |
| 118 | const armnn::TensorInfo& outInfo = GetTensorInfoForOperand(*outputOperand); |
| 119 | |
| 120 | if (!IsLayerSupported(__func__, |
| 121 | armnn::IsSubtractionSupported, |
| 122 | data.m_Compute, |
| 123 | input0.GetTensorInfo(), |
| 124 | input1.GetTensorInfo(), |
| 125 | outInfo)) |
| 126 | { |
| 127 | return false; |
| 128 | } |
| 129 | |
| 130 | armnn::IConnectableLayer* const startLayer = data.m_Network->AddSubtractionLayer(); |
| 131 | armnn::IConnectableLayer* const endLayer = ProcessActivation(outInfo, activationFunction, startLayer, data); |
| 132 | |
| 133 | const armnn::TensorInfo& inputTensorInfo0 = input0.GetTensorInfo(); |
| 134 | const armnn::TensorInfo& inputTensorInfo1 = input1.GetTensorInfo(); |
| 135 | |
| 136 | if (endLayer) |
| 137 | { |
| 138 | BroadcastTensor(input0, input1, startLayer, *data.m_Network); |
| 139 | return SetupAndTrackLayerOutputSlot(operation, 0, *endLayer, model, data); |
| 140 | } |
| 141 | |
| 142 | return Fail("%s: ProcessActivation failed", __func__); |
| 143 | } |
| 144 | |
narpra01 | 3c05256 | 2018-09-17 14:25:04 +0100 | [diff] [blame] | 145 | bool HalPolicy::ConvertMean(const Operation& operation, const Model& model, ConversionData& data) |
| 146 | { |
| 147 | LayerInputHandle input = ConvertToLayerInputHandle(operation, 0, model, data); |
| 148 | |
| 149 | if (!input.IsValid()) |
| 150 | { |
| 151 | return Fail("%s: Operation has invalid inputs", __func__); |
| 152 | } |
| 153 | |
| 154 | const armnn::TensorInfo& inputInfo = input.GetTensorInfo(); |
| 155 | |
| 156 | armnn::MeanDescriptor descriptor; |
| 157 | |
| 158 | const Operand* axisOperand = GetInputOperand(operation, 1, model); |
| 159 | if (axisOperand) |
| 160 | { |
| 161 | std::vector<int32_t> axis; |
| 162 | GetTensorInt32Values(*axisOperand, axis, model, data); |
| 163 | unsigned int rank = inputInfo.GetNumDimensions(); |
| 164 | // convert the axis to unsigned int. |
| 165 | for (auto& i : axis) |
| 166 | { |
| 167 | unsigned int unsignedAxis = (i + rank) % rank; |
| 168 | if (std::find(descriptor.m_Axis.begin(), descriptor.m_Axis.end(), unsignedAxis) == descriptor.m_Axis.end()) |
| 169 | { |
| 170 | descriptor.m_Axis.push_back(unsignedAxis); |
| 171 | } |
| 172 | } |
| 173 | } |
| 174 | |
| 175 | int32_t keepDims; |
| 176 | GetInputInt32(operation, 2, keepDims, model, data); |
| 177 | if (keepDims > 0) |
| 178 | { |
| 179 | descriptor.m_KeepDims = true; |
| 180 | } |
| 181 | |
| 182 | const Operand* output = GetOutputOperand(operation, 0, model); |
| 183 | if (!output) |
| 184 | { |
| 185 | return Fail("%s: Could not read output 0", __func__); |
| 186 | } |
| 187 | |
| 188 | const armnn::TensorInfo& outputInfo = GetTensorInfoForOperand(*output); |
| 189 | |
| 190 | if (!IsLayerSupported(__func__, |
| 191 | armnn::IsMeanSupported, |
| 192 | data.m_Compute, |
| 193 | inputInfo, |
| 194 | outputInfo, |
| 195 | descriptor)) |
| 196 | { |
| 197 | return false; |
| 198 | } |
| 199 | |
| 200 | armnn::IConnectableLayer* const layer = data.m_Network->AddMeanLayer(descriptor); |
narpra01 | 96bedf0 | 2018-09-26 16:57:28 +0100 | [diff] [blame] | 201 | assert(layer != nullptr); |
| 202 | input.Connect(layer->GetInputSlot(0)); |
| 203 | layer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
narpra01 | 3c05256 | 2018-09-17 14:25:04 +0100 | [diff] [blame] | 204 | |
| 205 | return SetupAndTrackLayerOutputSlot(operation, 0, *layer, model, data); |
| 206 | } |
| 207 | |
Nina Drozd | 62a4a9f | 2018-10-01 14:20:25 +0100 | [diff] [blame] | 208 | bool HalPolicy::ConvertPad(const Operation& operation, const Model& model, ConversionData& data) |
| 209 | { |
| 210 | LayerInputHandle input = ConvertToLayerInputHandle(operation, 0, model, data); |
| 211 | |
| 212 | if (!input.IsValid()) |
| 213 | { |
| 214 | return Fail("%s: Operation has invalid inputs", __func__); |
| 215 | } |
| 216 | |
| 217 | const armnn::TensorInfo& inputInfo = input.GetTensorInfo(); |
| 218 | |
| 219 | const Operand* paddingsOperand = GetInputOperand(operation, 1, model); |
| 220 | |
| 221 | if (!paddingsOperand) |
| 222 | { |
| 223 | return Fail("%s: Could not read paddings operand", __func__); |
| 224 | } |
| 225 | |
| 226 | unsigned int rank = inputInfo.GetNumDimensions(); |
| 227 | armnn::TensorShape paddingsOperandShape = GetTensorShapeForOperand(*paddingsOperand); |
| 228 | if (paddingsOperandShape.GetNumDimensions() != rank || paddingsOperandShape.GetNumElements() != 2) |
| 229 | { |
| 230 | return Fail("%s: Operation has invalid paddings operand: expected shape [%d, 2]", __func__, rank); |
| 231 | } |
| 232 | |
| 233 | std::vector<int32_t> paddings; |
| 234 | GetTensorInt32Values(*paddingsOperand, paddings, model, data); |
| 235 | |
| 236 | // add padding for each dimension of input tensor. |
| 237 | armnn::PadDescriptor descriptor; |
| 238 | for (unsigned int i = 0; i < paddings.size() - 1; i += 2) |
| 239 | { |
| 240 | int paddingBeforeInput = paddings[i]; |
| 241 | int paddingAfterInput = paddings[i + 1]; |
| 242 | if (paddingBeforeInput < 0 || paddingAfterInput < 0) |
| 243 | { |
| 244 | return Fail("%s: Operation has invalid paddings operand, invalid padding values.", __func__); |
| 245 | } |
| 246 | descriptor.m_PadList.emplace_back((unsigned int) paddingBeforeInput, (unsigned int) paddingAfterInput); |
| 247 | } |
| 248 | |
| 249 | const Operand* output = GetOutputOperand(operation, 0, model); |
| 250 | if (!output) |
| 251 | { |
| 252 | return Fail("%s: Could not read output 0", __func__); |
| 253 | } |
| 254 | |
| 255 | const armnn::TensorInfo& outputInfo = GetTensorInfoForOperand(*output); |
| 256 | |
| 257 | if (!IsLayerSupported(__func__, |
| 258 | armnn::IsPadSupported, |
| 259 | data.m_Compute, |
| 260 | inputInfo, |
| 261 | outputInfo, |
| 262 | descriptor)) |
| 263 | { |
| 264 | return false; |
| 265 | } |
| 266 | |
| 267 | armnn::IConnectableLayer* const layer = data.m_Network->AddPadLayer(descriptor); |
| 268 | assert(layer != nullptr); |
| 269 | input.Connect(layer->GetInputSlot(0)); |
| 270 | layer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 271 | |
| 272 | return SetupAndTrackLayerOutputSlot(operation, 0, *layer, model, data); |
| 273 | } |
| 274 | |
arovir01 | b0717b5 | 2018-09-05 17:03:25 +0100 | [diff] [blame] | 275 | } // namespace hal_1_1 |
| 276 | } // namespace armnn_driver |