diff options
Diffstat (limited to 'ConversionUtils_1_2.hpp')
-rw-r--r-- | ConversionUtils_1_2.hpp | 84 |
1 files changed, 84 insertions, 0 deletions
diff --git a/ConversionUtils_1_2.hpp b/ConversionUtils_1_2.hpp index 594b8e1c..404ff32d 100644 --- a/ConversionUtils_1_2.hpp +++ b/ConversionUtils_1_2.hpp @@ -172,6 +172,90 @@ bool ConvertCast(const HalOperation& operation, template<typename HalPolicy, typename HalOperation = typename HalPolicy::Operation, typename HalModel = typename HalPolicy::Model> +bool ConvertChannelShuffle(const HalOperation& operation, + const HalModel& model, + ConversionData& data) +{ + using HalOperand = typename HalPolicy::Operand; + using HalOperandType = typename HalPolicy::OperandType; + + ALOGV("HalPolicy::ConvertChannelShuffle()"); + + LayerInputHandle input = ConvertToLayerInputHandle<HalPolicy>(operation, 0, model, data); + if (!input.IsValid()) + { + return Fail("%s: Operation has invalid inputs", __func__); + } + auto inputDimensions = static_cast<int32_t>(input.GetTensorInfo().GetNumDimensions()); + + ChannelShuffleDescriptor descriptor; + + int32_t groups; + if (!GetInputScalar<HalPolicy>(operation, 1, HalOperandType::INT32, groups, model, data)) + { + return Fail("%s: Operation has invalid or unsupported number of groups operand", __func__); + } + descriptor.m_NumGroups = static_cast<uint32_t>(groups); + + int32_t axis; + if (!GetInputScalar<HalPolicy>(operation, 2, HalOperandType::INT32, axis, model, data)) + { + return Fail("%s: Operation has invalid or unsupported dimension channel shuffle operand", __func__); + } + if (((axis < -inputDimensions) && (axis < 0)) || ((axis >= inputDimensions) && (axis > 0))) + { + return Fail("%s: Operation has invalid dimension: %d. It is out of bounds [-%d, %d))", __func__, axis, + inputDimensions, inputDimensions); + } + int positiveAxis = (axis < 0) ? inputDimensions + axis : axis; + descriptor.m_Axis = static_cast<uint32_t>(positiveAxis); + + const HalOperand* output = GetOutputOperand<HalPolicy>(operation, 0, model); + if (!output) + { + return Fail("%s: Could not read output 0", __func__); + } + + const TensorInfo& inputInfo = input.GetTensorInfo(); + const TensorInfo& outputInfo = GetTensorInfoForOperand(*output); + + bool isSupported = false; + + auto validateFunc = [&](const armnn::TensorInfo& outputInfo, bool& isSupported) + { + FORWARD_LAYER_SUPPORT_FUNC(__func__, + IsChannelShuffleSupported, + data.m_Backends, + isSupported, + inputInfo, + outputInfo, + descriptor); + }; + + if(!IsDynamicTensor(outputInfo)) + { + validateFunc(outputInfo, isSupported); + } + else + { + isSupported = AreDynamicTensorsSupported(); + } + + if (!isSupported) + { + return false; + } + + IConnectableLayer* layer = data.m_Network->AddChannelShuffleLayer(descriptor); + assert(layer != nullptr); + input.Connect(layer->GetInputSlot(0)); + + return SetupAndTrackLayerOutputSlot<HalPolicy>(operation, 0, *layer, model, data, nullptr, validateFunc); +} + +template<typename HalPolicy, + typename HalOperation = typename HalPolicy::Operation, + typename HalModel = typename HalPolicy::Model> bool ConvertComparison_1_2(const HalOperation& operation, const HalModel& model, ConversionData& data, |