diff options
Diffstat (limited to 'delegate/src/DelegateUtils.hpp')
| -rw-r--r-- | delegate/src/DelegateUtils.hpp | 55 |
1 files changed, 47 insertions, 8 deletions
diff --git a/delegate/src/DelegateUtils.hpp b/delegate/src/DelegateUtils.hpp index 71222276b4..dcad38503a 100644 --- a/delegate/src/DelegateUtils.hpp +++ b/delegate/src/DelegateUtils.hpp @@ -101,6 +101,18 @@ bool IsValid(const TfLiteTensor* tfLiteTensor) return tfLiteTensor == nullptr ? false : true; } +uint32_t NonNegative(int32_t value, int nodeIndex) +{ + if (value < 0) + { + throw armnn::Exception("TfLiteArmnnDelegate: Non-negative value in node " + nodeIndex); + } + else + { + return static_cast<uint32_t>(value); + } +} + bool IsDynamicTensor(const TfLiteTensor& tfLiteTensor) { auto tensorAllocationType = tfLiteTensor.allocation_type; @@ -339,7 +351,8 @@ armnn::DataType GetDataType(const TfLiteTensor& tfLiteTensor) } } -armnn::TensorInfo GetTensorInfoForTfLiteTensor(const TfLiteTensor& tfLiteTensor) +armnn::TensorInfo GetTensorInfoForTfLiteTensor(const TfLiteTensor& tfLiteTensor, + const armnn::PermutationVector& dimensionMappings = {0, 1, 2, 3}) { armnn::DataType type = GetDataType(tfLiteTensor); armnn::TensorInfo ret; @@ -379,7 +392,8 @@ armnn::TensorInfo GetTensorInfoForTfLiteTensor(const TfLiteTensor& tfLiteTensor) quantizationScales.push_back(affineQuantization->scale->data[i]); } ret.SetQuantizationScales(quantizationScales); - ret.SetQuantizationDim(armnn::MakeOptional<unsigned int>(affineQuantization->quantized_dimension)); + ret.SetQuantizationDim(dimensionMappings[armnn::numeric_cast<unsigned int>( + affineQuantization->quantized_dimension)]); } else { @@ -399,23 +413,23 @@ armnn::TensorInfo GetTensorInfoForTfLiteTensor(const TfLiteTensor& tfLiteTensor) armnn::ConstTensor CreateConstTensor(const TfLiteTensor* tfLiteTensor, armnn::TensorInfo& tensorInfo, - armnn::Optional<armnn::PermutationVector&> permutationVector) + armnn::Optional<armnn::PermutationVector&> permutationVector, + void* permutationData = nullptr) { if (tfLiteTensor->allocation_type != kTfLiteMmapRo) { throw armnn::Exception("TfLiteArmnnDelegate: Not constant allocation type: " + tfLiteTensor->allocation_type); } - if (permutationVector.has_value() && permutationVector.value().GetSize() > 0) + if (permutationVector.has_value() && permutationVector.value().GetSize() > 0 && permutationData != nullptr) { - std::vector<uint8_t> swizzledData; - swizzledData.resize(tensorInfo.GetNumBytes()); armnnUtils::Permute(armnnUtils::Permuted(tensorInfo.GetShape(), permutationVector.value()), permutationVector.value(), tfLiteTensor->data.data, - swizzledData.data(), + permutationData, armnn::GetDataTypeSize(tensorInfo.GetDataType())); - return armnn::ConstTensor(armnnUtils::Permuted(tensorInfo, permutationVector.value()), swizzledData.data()); + + return armnn::ConstTensor(armnnUtils::Permuted(tensorInfo, permutationVector.value()), permutationData); } else { @@ -423,4 +437,29 @@ armnn::ConstTensor CreateConstTensor(const TfLiteTensor* tfLiteTensor, } } +void CalcPadding(uint32_t inputSize, + uint32_t filterSize, + uint32_t stride, + uint32_t dilation, + uint32_t& paddingFront, + uint32_t& paddingBack, + TfLitePadding padding) +{ + paddingFront = 0; + paddingBack = 0; + if (padding == kTfLitePaddingSame) + { + uint32_t outputSize = (inputSize + stride - 1) / stride; + uint32_t dilatedSize = filterSize + (dilation - 1) * (filterSize - 1); + uint32_t temp = (outputSize - 1) * stride + dilatedSize; + if (temp > inputSize) + { + paddingFront = (temp - inputSize) / 2; + paddingBack = (temp - inputSize) - paddingFront; + } + } +} + + + } // namespace anonymous |