From 019da94aef34eae9fa2fffaf6b9b1cd469b49f24 Mon Sep 17 00:00:00 2001 From: Cathal Corbett Date: Wed, 10 Nov 2021 12:50:57 +0000 Subject: Fix typo errors from ticket IVGCVSW-6420 * Typo errors from ticket 'Constant flag in tensor info is not set correctly'. Not fixed due to code freeze deadline. Signed-off-by: Cathal Corbett Change-Id: Id80ba60647d1970115a8cf200f0d71e4fada9b30 --- .../backendsCommon/test/QLstmEndToEndTestImpl.cpp | 21 ++++++++++++++------- .../test/QuantizedLstmEndToEndTestImpl.cpp | 6 ++++-- 2 files changed, 18 insertions(+), 9 deletions(-) (limited to 'src/backends/backendsCommon') diff --git a/src/backends/backendsCommon/test/QLstmEndToEndTestImpl.cpp b/src/backends/backendsCommon/test/QLstmEndToEndTestImpl.cpp index e2147fc59b..7c87f358d6 100644 --- a/src/backends/backendsCommon/test/QLstmEndToEndTestImpl.cpp +++ b/src/backends/backendsCommon/test/QLstmEndToEndTestImpl.cpp @@ -80,22 +80,26 @@ void QLstmEndToEnd(const std::vector& backends) const armnn::TensorInfo inputWeightsInfo({outputSize, inputSize}, armnn::DataType::QSymmS8, weightsScale, - weightsOffset, true); + weightsOffset, + true); const armnn::TensorInfo recurrentWeightsInfo({outputSize, outputSize}, armnn::DataType::QSymmS8, weightsScale, - weightsOffset, true); + weightsOffset, + true); const armnn::TensorInfo biasInfo({outputSize}, armnn::DataType::Signed32, biasScale, - biasOffset, true); + biasOffset, + true); const armnn::TensorInfo layerNormWeightsInfo({numUnits}, armnn::DataType::QSymmS16, layerNormScale, - layerNormOffset, true); + layerNormOffset, + true); // Mandatory params const std::vector inputToForgetWeightsVector = @@ -179,17 +183,20 @@ void QLstmEndToEnd(const std::vector& backends) const armnn::TensorInfo inputInfo({numBatches , inputSize}, armnn::DataType::QAsymmS8, inputScale, - inputOffset, true); + inputOffset, + true); const armnn::TensorInfo cellStateInfo({numBatches , numUnits}, armnn::DataType::QSymmS16, cellStateScale, - cellStateOffset, true); + cellStateOffset, + true); const armnn::TensorInfo outputStateInfo({numBatches , outputSize}, armnn::DataType::QAsymmS8, outputScale, - outputOffset, true); + outputOffset, + true); // Input tensor data const std::vector inputVector = {90, 102, 13, 26, 38, 102, 13, 26, 51, 64}; diff --git a/src/backends/backendsCommon/test/QuantizedLstmEndToEndTestImpl.cpp b/src/backends/backendsCommon/test/QuantizedLstmEndToEndTestImpl.cpp index f178951873..d481404f92 100644 --- a/src/backends/backendsCommon/test/QuantizedLstmEndToEndTestImpl.cpp +++ b/src/backends/backendsCommon/test/QuantizedLstmEndToEndTestImpl.cpp @@ -46,12 +46,14 @@ armnn::INetworkPtr CreateQuantizedLstmNetwork(armnn::TensorShape& inputShape, armnn::TensorInfo inputWeightsInfo({outputSize, inputSize}, armnn::DataType::QAsymmU8, weightsScale, - weightsOffset, true); + weightsOffset, + true); armnn::TensorInfo recurrentWeightsInfo({outputSize, outputSize}, armnn::DataType::QAsymmU8, weightsScale, - weightsOffset, true); + weightsOffset, + true); armnn::TensorInfo biasInfo({outputSize}, armnn::DataType::Signed32, biasScale, biasOffset, true); -- cgit v1.2.1