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| author | Teresa Charlin <teresa.charlinreyes@arm.com> | 2022-06-28 16:52:18 +0100 |
|---|---|---|
| committer | TeresaARM <teresa.charlinreyes@arm.com> | 2022-06-29 10:42:49 +0000 |
| commit | 03ee5d8a21688555c4e0a68d8400f4c3e3d844e2 (patch) | |
| tree | af30388c80cfa9002980bc41de403e9b4a52f7a2 /src/armnn/test/optimizations/Fp32NetworkToBf16ConverterTests.cpp | |
| parent | a96489a2fd459bd3d73297fa5fdaef5d13a57a4e (diff) | |
| download | armnn-03ee5d8a21688555c4e0a68d8400f4c3e3d844e2.tar.gz | |
IVGCVSW-6962 Adding Const layer in the graph immediately after Input
instead of immediately before output
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I2d89a1efdabfdb4be24a8998a03fe1f502d26183
Diffstat (limited to 'src/armnn/test/optimizations/Fp32NetworkToBf16ConverterTests.cpp')
| -rw-r--r-- | src/armnn/test/optimizations/Fp32NetworkToBf16ConverterTests.cpp | 34 |
1 files changed, 22 insertions, 12 deletions
diff --git a/src/armnn/test/optimizations/Fp32NetworkToBf16ConverterTests.cpp b/src/armnn/test/optimizations/Fp32NetworkToBf16ConverterTests.cpp index d3a6932a48..66893ce1f5 100644 --- a/src/armnn/test/optimizations/Fp32NetworkToBf16ConverterTests.cpp +++ b/src/armnn/test/optimizations/Fp32NetworkToBf16ConverterTests.cpp @@ -92,18 +92,23 @@ TEST_CASE("Fp32NetworkToBf16OptimizationConv2DTest") conv->GetOutputSlot().Connect(output->GetInputSlot(0)); CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>, - &IsLayerOfType<armnn::Convolution2dLayer>, &IsLayerOfType<armnn::ConstantLayer>, - &IsLayerOfType<armnn::ConstantLayer>, &IsLayerOfType<armnn::OutputLayer>)); + &IsLayerOfType<armnn::ConstantLayer>, + &IsLayerOfType<armnn::ConstantLayer>, + &IsLayerOfType<armnn::Convolution2dLayer>, + &IsLayerOfType<armnn::OutputLayer>)); // Run the optimizer armnn::Optimizer::Pass(graph, armnn::MakeOptimizations(RedirectMembersToConstantInputs(), Fp32NetworkToBf16Converter())); + CHECK(7 == graph.GetNumLayers()); CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>, - &IsLayerOfType<armnn::ConvertFp32ToBf16Layer>, - &IsLayerOfType<armnn::ConstantLayer>, &IsLayerOfType<armnn::ConvertFp32ToBf16Layer>, - &IsLayerOfType<armnn::ConstantLayer>, &IsLayerOfType<armnn::Convolution2dLayer>, - &IsLayerOfType<armnn::OutputLayer>)); + &IsLayerOfType<armnn::ConstantLayer>, + &IsLayerOfType<armnn::ConstantLayer>, + &IsLayerOfType<armnn::ConvertFp32ToBf16Layer>, + &IsLayerOfType<armnn::ConvertFp32ToBf16Layer>, + &IsLayerOfType<armnn::Convolution2dLayer>, + &IsLayerOfType<armnn::OutputLayer>)); armnn::TensorInfo inputTensor = conv->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(); armnn::TensorInfo weightTensor = conv->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(); @@ -179,17 +184,23 @@ TEST_CASE("Fp32NetworkToBf16OptimizationFullyConnectedTest") fc->GetOutputSlot().Connect(output->GetInputSlot(0)); CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>, - &IsLayerOfType<armnn::FullyConnectedLayer>, &IsLayerOfType<armnn::ConstantLayer>, - &IsLayerOfType<armnn::ConstantLayer>, &IsLayerOfType<armnn::OutputLayer>)); + &IsLayerOfType<armnn::ConstantLayer>, + &IsLayerOfType<armnn::ConstantLayer>, + &IsLayerOfType<armnn::FullyConnectedLayer>, + &IsLayerOfType<armnn::OutputLayer>)); // Run the optimizer armnn::Optimizer::Pass(graph, armnn::MakeOptimizations(RedirectMembersToConstantInputs(), Fp32NetworkToBf16Converter())); + CHECK(7 == graph.GetNumLayers()); CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>, - &IsLayerOfType<armnn::ConvertFp32ToBf16Layer>, &IsLayerOfType<armnn::ConstantLayer>, - &IsLayerOfType<armnn::ConvertFp32ToBf16Layer>, &IsLayerOfType<armnn::ConstantLayer>, - &IsLayerOfType<armnn::FullyConnectedLayer>, &IsLayerOfType<armnn::OutputLayer>)); + &IsLayerOfType<armnn::ConstantLayer>, + &IsLayerOfType<armnn::ConstantLayer>, + &IsLayerOfType<armnn::ConvertFp32ToBf16Layer>, + &IsLayerOfType<armnn::ConvertFp32ToBf16Layer>, + &IsLayerOfType<armnn::FullyConnectedLayer>, + &IsLayerOfType<armnn::OutputLayer>)); armnn::TensorInfo inputTensor = fc->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(); armnn::TensorInfo weightTensor = fc->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(); @@ -215,5 +226,4 @@ TEST_CASE("Fp32NetworkToBf16OptimizationFullyConnectedTest") CHECK(data[7] == armnn::BFloat16(-9.131327E-10f)); // 0xB07B } - }
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