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Diffstat (limited to 'src/backends/backendsCommon/test/OptimizeSubgraphViewTests.cpp')
-rw-r--r--src/backends/backendsCommon/test/OptimizeSubgraphViewTests.cpp44
1 files changed, 22 insertions, 22 deletions
diff --git a/src/backends/backendsCommon/test/OptimizeSubgraphViewTests.cpp b/src/backends/backendsCommon/test/OptimizeSubgraphViewTests.cpp
index ca3c563757..162cc8436c 100644
--- a/src/backends/backendsCommon/test/OptimizeSubgraphViewTests.cpp
+++ b/src/backends/backendsCommon/test/OptimizeSubgraphViewTests.cpp
@@ -207,8 +207,8 @@ void CheckUntouchedSubgraph(const SubgraphView& untouchedSubgraph,
// Creates a subgraph containing only a single unsupported layer (only convolutions are unsupported by the mock backend)
SubgraphView::SubgraphViewPtr BuildFullyUnsupportedSubgraph1(Graph& graph, LayerNameToLayerMap& layersInGraph)
{
- const TensorInfo inputInfo ({ 1, 16, 16, 16 }, DataType::QuantisedAsymm8, 1.0f, 0);
- const TensorInfo outputInfo({ 1, 16, 16, 16 }, DataType::QuantisedAsymm8, 1.0f, 0);
+ const TensorInfo inputInfo ({ 1, 16, 16, 16 }, DataType::QAsymmU8, 1.0f, 0);
+ const TensorInfo outputInfo({ 1, 16, 16, 16 }, DataType::QAsymmU8, 1.0f, 0);
Pooling2dDescriptor poolingDescriptor;
poolingDescriptor.m_PoolType = armnn::PoolingAlgorithm::Average;
@@ -242,8 +242,8 @@ SubgraphView::SubgraphViewPtr BuildFullyUnsupportedSubgraph1(Graph& graph, Layer
// Creates a subgraph containing only unsupported layers (only convolutions are unsupported by the mock backend)
SubgraphView::SubgraphViewPtr BuildFullyUnsupportedSubgraph2(Graph& graph, LayerNameToLayerMap& layersInGraph)
{
- const TensorInfo inputInfo ({ 1, 16, 16, 16 }, DataType::QuantisedAsymm8, 1.0f, 0);
- const TensorInfo outputInfo({ 1, 16, 16, 16 }, DataType::QuantisedAsymm8, 1.0f, 0);
+ const TensorInfo inputInfo ({ 1, 16, 16, 16 }, DataType::QAsymmU8, 1.0f, 0);
+ const TensorInfo outputInfo({ 1, 16, 16, 16 }, DataType::QAsymmU8, 1.0f, 0);
Pooling2dDescriptor poolingDescriptor;
poolingDescriptor.m_PoolType = armnn::PoolingAlgorithm::Average;
@@ -285,9 +285,9 @@ SubgraphView::SubgraphViewPtr BuildFullyUnsupportedSubgraph2(Graph& graph, Layer
// Creates a simple subgraph with only one convolution layer, supported by the mock backend
SubgraphView::SubgraphViewPtr BuildFullyOptimizableSubgraph1(Graph& graph, LayerNameToLayerMap& layersInGraph)
{
- const TensorInfo inputInfo ({ 1, 16, 16, 16 }, DataType::QuantisedAsymm8, 1.0f, 0);
- const TensorInfo outputInfo({ 1, 16, 16, 16 }, DataType::QuantisedAsymm8, 1.0f, 0);
- const TensorInfo weightInfo({ 16, 1, 1, 16 }, DataType::QuantisedAsymm8, 0.9f, 0);
+ const TensorInfo inputInfo ({ 1, 16, 16, 16 }, DataType::QAsymmU8, 1.0f, 0);
+ const TensorInfo outputInfo({ 1, 16, 16, 16 }, DataType::QAsymmU8, 1.0f, 0);
+ const TensorInfo weightInfo({ 16, 1, 1, 16 }, DataType::QAsymmU8, 0.9f, 0);
const TensorInfo biasInfo ({ 1, 1, 1, 16 }, DataType::Signed32, 0.9f, 0);
Convolution2dDescriptor convolutionDescriptor;
@@ -315,9 +315,9 @@ SubgraphView::SubgraphViewPtr BuildFullyOptimizableSubgraph1(Graph& graph, Layer
// Creates a subgraph with five convolutions layers, all supported by the mock backend
SubgraphView::SubgraphViewPtr BuildFullyOptimizableSubgraph2(Graph& graph, LayerNameToLayerMap& layersInGraph)
{
- const TensorInfo inputInfo ({ 1, 16, 16, 16 }, DataType::QuantisedAsymm8, 1.0f, 0);
- const TensorInfo outputInfo({ 1, 16, 16, 16 }, DataType::QuantisedAsymm8, 1.0f, 0);
- const TensorInfo weightInfo({ 16, 1, 1, 16 }, DataType::QuantisedAsymm8, 0.9f, 0);
+ const TensorInfo inputInfo ({ 1, 16, 16, 16 }, DataType::QAsymmU8, 1.0f, 0);
+ const TensorInfo outputInfo({ 1, 16, 16, 16 }, DataType::QAsymmU8, 1.0f, 0);
+ const TensorInfo weightInfo({ 16, 1, 1, 16 }, DataType::QAsymmU8, 0.9f, 0);
const TensorInfo biasInfo ({ 1, 1, 1, 16 }, DataType::Signed32, 0.9f, 0);
Convolution2dDescriptor convolutionDescriptor;
@@ -362,9 +362,9 @@ SubgraphView::SubgraphViewPtr BuildFullyOptimizableSubgraph2(Graph& graph, Layer
// (only convolutions are unsupported by the mock backend)
SubgraphView::SubgraphViewPtr BuildPartiallySupportedSubgraph(Graph& graph, LayerNameToLayerMap& layersInGraph)
{
- const TensorInfo inputInfo ({ 1, 16, 16, 16 }, DataType::QuantisedAsymm8, 1.0f, 0);
- const TensorInfo outputInfo({ 1, 16, 16, 16 }, DataType::QuantisedAsymm8, 1.0f, 0);
- const TensorInfo weightInfo({ 16, 1, 1, 16 }, DataType::QuantisedAsymm8, 0.9f, 0);
+ const TensorInfo inputInfo ({ 1, 16, 16, 16 }, DataType::QAsymmU8, 1.0f, 0);
+ const TensorInfo outputInfo({ 1, 16, 16, 16 }, DataType::QAsymmU8, 1.0f, 0);
+ const TensorInfo weightInfo({ 16, 1, 1, 16 }, DataType::QAsymmU8, 0.9f, 0);
const TensorInfo biasInfo ({ 1, 1, 1, 16 }, DataType::Signed32, 0.9f, 0);
Convolution2dDescriptor convolutionDescriptor;
@@ -421,9 +421,9 @@ SubgraphView::SubgraphViewPtr BuildPartiallySupportedSubgraph(Graph& graph, Laye
// Creates a subgraph with only unoptimizable layers ("unoptimizable" is added to the layer's name)
SubgraphView::SubgraphViewPtr BuildFullyUnoptimizableSubgraph1(Graph& graph, LayerNameToLayerMap& layersInGraph)
{
- const TensorInfo inputInfo ({ 1, 16, 16, 16 }, DataType::QuantisedAsymm8, 1.0f, 0);
- const TensorInfo outputInfo({ 1, 16, 16, 16 }, DataType::QuantisedAsymm8, 1.0f, 0);
- const TensorInfo weightInfo({ 16, 1, 1, 16 }, DataType::QuantisedAsymm8, 0.9f, 0);
+ const TensorInfo inputInfo ({ 1, 16, 16, 16 }, DataType::QAsymmU8, 1.0f, 0);
+ const TensorInfo outputInfo({ 1, 16, 16, 16 }, DataType::QAsymmU8, 1.0f, 0);
+ const TensorInfo weightInfo({ 16, 1, 1, 16 }, DataType::QAsymmU8, 0.9f, 0);
const TensorInfo biasInfo ({ 1, 1, 1, 16 }, DataType::Signed32, 0.9f, 0);
Convolution2dDescriptor convolutionDescriptor;
@@ -452,9 +452,9 @@ SubgraphView::SubgraphViewPtr BuildFullyUnoptimizableSubgraph1(Graph& graph, Lay
// Creates a subgraph with some unoptimizable layers ("unoptimizable" is added to the layer's name)
SubgraphView::SubgraphViewPtr BuildPartiallyOptimizableSubgraph1(Graph& graph, LayerNameToLayerMap& layersInGraph)
{
- const TensorInfo inputInfo ({ 1, 16, 16, 16 }, DataType::QuantisedAsymm8, 1.0f, 0);
- const TensorInfo outputInfo({ 1, 16, 16, 16 }, DataType::QuantisedAsymm8, 1.0f, 0);
- const TensorInfo weightInfo({ 16, 1, 1, 16 }, DataType::QuantisedAsymm8, 0.9f, 0);
+ const TensorInfo inputInfo ({ 1, 16, 16, 16 }, DataType::QAsymmU8, 1.0f, 0);
+ const TensorInfo outputInfo({ 1, 16, 16, 16 }, DataType::QAsymmU8, 1.0f, 0);
+ const TensorInfo weightInfo({ 16, 1, 1, 16 }, DataType::QAsymmU8, 0.9f, 0);
const TensorInfo biasInfo ({ 1, 1, 1, 16 }, DataType::Signed32, 0.9f, 0);
Convolution2dDescriptor convolutionDescriptor;
@@ -501,9 +501,9 @@ SubgraphView::SubgraphViewPtr BuildPartiallyOptimizableSubgraph1(Graph& graph, L
// this is meant to test input slots coming from different layers
SubgraphView::SubgraphViewPtr BuildPartiallyOptimizableSubgraph2(Graph& graph, LayerNameToLayerMap& layersInGraph)
{
- const TensorInfo inputInfo ({ 1, 16, 16, 16 }, DataType::QuantisedAsymm8, 1.0f, 0);
- const TensorInfo outputInfo({ 1, 16, 16, 16 }, DataType::QuantisedAsymm8, 1.0f, 0);
- const TensorInfo weightInfo({ 16, 1, 1, 16 }, DataType::QuantisedAsymm8, 0.9f, 0);
+ const TensorInfo inputInfo ({ 1, 16, 16, 16 }, DataType::QAsymmU8, 1.0f, 0);
+ const TensorInfo outputInfo({ 1, 16, 16, 16 }, DataType::QAsymmU8, 1.0f, 0);
+ const TensorInfo weightInfo({ 16, 1, 1, 16 }, DataType::QAsymmU8, 0.9f, 0);
const TensorInfo biasInfo ({ 1, 1, 1, 16 }, DataType::Signed32, 0.9f, 0);
Convolution2dDescriptor convolutionDescriptor;
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-31 07:32:40 +0000