From f90c56d72de4848a2dc5844a97458aaf09df07c2 Mon Sep 17 00:00:00 2001 From: Derek Lamberti Date: Fri, 10 Jan 2020 17:14:08 +0000 Subject: Rename quantized data types to remove ambiguity for signed/unsigned payloads !android-nn-driver:2572 Change-Id: I8fe52ceb09987b3d05c539409510f535165455cc Signed-off-by: Derek Lamberti --- src/armnn/test/ConstTensorLayerVisitor.cpp | 32 +++++++++++++++--------------- 1 file changed, 16 insertions(+), 16 deletions(-) (limited to 'src/armnn/test/ConstTensorLayerVisitor.cpp') diff --git a/src/armnn/test/ConstTensorLayerVisitor.cpp b/src/armnn/test/ConstTensorLayerVisitor.cpp index cfcdb1d2ff..ada665e4e9 100644 --- a/src/armnn/test/ConstTensorLayerVisitor.cpp +++ b/src/armnn/test/ConstTensorLayerVisitor.cpp @@ -1248,43 +1248,43 @@ BOOST_AUTO_TEST_CASE(CheckQuantizedLstmLayer) std::vector inputToInputWeightsData = {1, 2, 3, 4, 5, 6, 7, 8, 9}; std::vector inputToInputWeightsDimensions = {1, 1, 3, 3}; ConstTensor inputToInputWeights( - TensorInfo(4, inputToInputWeightsDimensions.data(), DataType::QuantisedAsymm8), inputToInputWeightsData); + TensorInfo(4, inputToInputWeightsDimensions.data(), DataType::QAsymmU8), inputToInputWeightsData); std::vector inputToForgetWeightsData = {1, 2, 3, 4, 5, 6, 7, 8, 9}; std::vector inputToForgetWeightsDimensions = {1, 1, 3, 3}; ConstTensor inputToForgetWeights( - TensorInfo(4, inputToForgetWeightsDimensions.data(), DataType::QuantisedAsymm8), inputToForgetWeightsData); + TensorInfo(4, inputToForgetWeightsDimensions.data(), DataType::QAsymmU8), inputToForgetWeightsData); std::vector inputToCellWeightsData = {1, 2, 3, 4, 5, 6, 7, 8, 9}; std::vector inputToCellWeightsDimensions = {1, 1, 3, 3}; ConstTensor inputToCellWeights( - TensorInfo(4, inputToCellWeightsDimensions.data(), DataType::QuantisedAsymm8), inputToCellWeightsData); + TensorInfo(4, inputToCellWeightsDimensions.data(), DataType::QAsymmU8), inputToCellWeightsData); std::vector inputToOutputWeightsData = {1, 2, 3, 4, 5, 6, 7, 8, 9}; std::vector inputToOutputWeightsDimensions = {1, 1, 3, 3}; ConstTensor inputToOutputWeights( - TensorInfo(4, inputToOutputWeightsDimensions.data(), DataType::QuantisedAsymm8), inputToOutputWeightsData); + TensorInfo(4, inputToOutputWeightsDimensions.data(), DataType::QAsymmU8), inputToOutputWeightsData); std::vector recurrentToInputWeightsData = {1, 2, 3, 4, 5, 6, 7, 8, 9}; std::vector recurrentToInputWeightsDimensions = {1, 1, 3, 3}; ConstTensor recurrentToInputWeights(TensorInfo( - 4, recurrentToInputWeightsDimensions.data(), DataType::QuantisedAsymm8), recurrentToInputWeightsData); + 4, recurrentToInputWeightsDimensions.data(), DataType::QAsymmU8), recurrentToInputWeightsData); std::vector recurrentToForgetWeightsData = {1, 2, 3, 4, 5, 6, 7, 8, 9}; std::vector recurrentToForgetWeightsDimensions = {1, 1, 3, 3}; ConstTensor recurrentToForgetWeights(TensorInfo( - 4, recurrentToForgetWeightsDimensions.data(), DataType::QuantisedAsymm8), recurrentToForgetWeightsData); + 4, recurrentToForgetWeightsDimensions.data(), DataType::QAsymmU8), recurrentToForgetWeightsData); std::vector recurrentToCellWeightsData = {1, 2, 3, 4, 5, 6, 7, 8, 9}; std::vector recurrentToCellWeightsDimensions = {1, 1, 3, 3}; ConstTensor recurrentToCellWeights(TensorInfo( - 4, recurrentToCellWeightsDimensions.data(), DataType::QuantisedAsymm8), recurrentToCellWeightsData); + 4, recurrentToCellWeightsDimensions.data(), DataType::QAsymmU8), recurrentToCellWeightsData); std::vector recurrentToOutputWeightsData = {1, 2, 3, 4, 5, 6, 7, 8, 9}; std::vector recurrentToOutputWeightsDimensions = {1, 1, 3, 3}; ConstTensor recurrentToOutputWeights(TensorInfo( - 4, recurrentToOutputWeightsDimensions.data(), DataType::QuantisedAsymm8), recurrentToOutputWeightsData); + 4, recurrentToOutputWeightsDimensions.data(), DataType::QAsymmU8), recurrentToOutputWeightsData); std::vector inputGateBiasData = {1, 2, 3, 4, 5, 6, 7, 8, 9}; @@ -1338,43 +1338,43 @@ BOOST_AUTO_TEST_CASE(CheckNamedQuantizedLstmLayer) std::vector inputToInputWeightsData = {1, 2, 3, 4, 5, 6, 7, 8, 9}; std::vector inputToInputWeightsDimensions = {1, 1, 3, 3}; ConstTensor inputToInputWeights( - TensorInfo(4, inputToInputWeightsDimensions.data(), DataType::QuantisedAsymm8), inputToInputWeightsData); + TensorInfo(4, inputToInputWeightsDimensions.data(), DataType::QAsymmU8), inputToInputWeightsData); std::vector inputToForgetWeightsData = {1, 2, 3, 4, 5, 6, 7, 8, 9}; std::vector inputToForgetWeightsDimensions = {1, 1, 3, 3}; ConstTensor inputToForgetWeights( - TensorInfo(4, inputToForgetWeightsDimensions.data(), DataType::QuantisedAsymm8), inputToForgetWeightsData); + TensorInfo(4, inputToForgetWeightsDimensions.data(), DataType::QAsymmU8), inputToForgetWeightsData); std::vector inputToCellWeightsData = {1, 2, 3, 4, 5, 6, 7, 8, 9}; std::vector inputToCellWeightsDimensions = {1, 1, 3, 3}; ConstTensor inputToCellWeights( - TensorInfo(4, inputToCellWeightsDimensions.data(), DataType::QuantisedAsymm8), inputToCellWeightsData); + TensorInfo(4, inputToCellWeightsDimensions.data(), DataType::QAsymmU8), inputToCellWeightsData); std::vector inputToOutputWeightsData = {1, 2, 3, 4, 5, 6, 7, 8, 9}; std::vector inputToOutputWeightsDimensions = {1, 1, 3, 3}; ConstTensor inputToOutputWeights( - TensorInfo(4, inputToOutputWeightsDimensions.data(), DataType::QuantisedAsymm8), inputToOutputWeightsData); + TensorInfo(4, inputToOutputWeightsDimensions.data(), DataType::QAsymmU8), inputToOutputWeightsData); std::vector recurrentToInputWeightsData = {1, 2, 3, 4, 5, 6, 7, 8, 9}; std::vector recurrentToInputWeightsDimensions = {1, 1, 3, 3}; ConstTensor recurrentToInputWeights(TensorInfo( - 4, recurrentToInputWeightsDimensions.data(), DataType::QuantisedAsymm8), recurrentToInputWeightsData); + 4, recurrentToInputWeightsDimensions.data(), DataType::QAsymmU8), recurrentToInputWeightsData); std::vector recurrentToForgetWeightsData = {1, 2, 3, 4, 5, 6, 7, 8, 9}; std::vector recurrentToForgetWeightsDimensions = {1, 1, 3, 3}; ConstTensor recurrentToForgetWeights(TensorInfo( - 4, recurrentToForgetWeightsDimensions.data(), DataType::QuantisedAsymm8), recurrentToForgetWeightsData); + 4, recurrentToForgetWeightsDimensions.data(), DataType::QAsymmU8), recurrentToForgetWeightsData); std::vector recurrentToCellWeightsData = {1, 2, 3, 4, 5, 6, 7, 8, 9}; std::vector recurrentToCellWeightsDimensions = {1, 1, 3, 3}; ConstTensor recurrentToCellWeights(TensorInfo( - 4, recurrentToCellWeightsDimensions.data(), DataType::QuantisedAsymm8), recurrentToCellWeightsData); + 4, recurrentToCellWeightsDimensions.data(), DataType::QAsymmU8), recurrentToCellWeightsData); std::vector recurrentToOutputWeightsData = {1, 2, 3, 4, 5, 6, 7, 8, 9}; std::vector recurrentToOutputWeightsDimensions = {1, 1, 3, 3}; ConstTensor recurrentToOutputWeights(TensorInfo( - 4, recurrentToOutputWeightsDimensions.data(), DataType::QuantisedAsymm8), recurrentToOutputWeightsData); + 4, recurrentToOutputWeightsDimensions.data(), DataType::QAsymmU8), recurrentToOutputWeightsData); std::vector inputGateBiasData = {1, 2, 3, 4, 5, 6, 7, 8, 9}; -- cgit v1.2.1