aboutsummaryrefslogtreecommitdiff
path: root/src/backends
diff options
context:
space:
mode:
Diffstat (limited to 'src/backends')
-rw-r--r--src/backends/backendsCommon/test/QLstmEndToEndTestImpl.cpp21
-rw-r--r--src/backends/backendsCommon/test/QuantizedLstmEndToEndTestImpl.cpp6
-rw-r--r--src/backends/cl/test/ClFallbackTests.cpp1
-rw-r--r--src/backends/neon/test/NeonTensorHandleTests.cpp2
4 files changed, 19 insertions, 11 deletions
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<armnn::BackendId>& 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<int8_t> inputToForgetWeightsVector =
@@ -179,17 +183,20 @@ void QLstmEndToEnd(const std::vector<armnn::BackendId>& 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<int8_t> 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);
diff --git a/src/backends/cl/test/ClFallbackTests.cpp b/src/backends/cl/test/ClFallbackTests.cpp
index 7cd05d193b..cfe2b369ac 100644
--- a/src/backends/cl/test/ClFallbackTests.cpp
+++ b/src/backends/cl/test/ClFallbackTests.cpp
@@ -540,7 +540,6 @@ TEST_CASE("ClImportDisableFallbackSubgraphToNeon")
std::vector<float> expectedOutput{ 11.0f, -1.0f };
-
InputTensors inputTensors
{
{ 0, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 0), inputData0.data()) },
diff --git a/src/backends/neon/test/NeonTensorHandleTests.cpp b/src/backends/neon/test/NeonTensorHandleTests.cpp
index 2e6854a331..685a0744e7 100644
--- a/src/backends/neon/test/NeonTensorHandleTests.cpp
+++ b/src/backends/neon/test/NeonTensorHandleTests.cpp
@@ -422,7 +422,7 @@ TEST_CASE("SplitteronXorYNoPaddingRequiredTest")
TensorInfo inputTensorInfo = runtime->GetInputTensorInfo(networkIdentifier, it.first);
inputTensorInfo.SetConstant(true);
inputTensors.push_back({it.first,
- ConstTensor(inputTensorInfo, it.second.data())});
+ ConstTensor(inputTensorInfo, it.second.data())});
}
OutputTensors outputTensors;
outputTensors.reserve(expectedOutputData.size());