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| author | Narumol Prangnawarat <narumol.prangnawarat@arm.com> | 2020-03-20 15:01:01 +0000 |
|---|---|---|
| committer | Narumol Prangnawarat <narumol.prangnawarat@arm.com> | 2020-03-20 19:09:07 +0000 |
| commit | bc7ffb5e9e5f4c86280b20c65772eb12d8bb140e (patch) | |
| tree | 5187f34326414e7dfea80e0f4efaae5cbeb05d1d /src/armnn/test/optimizations/Fp32NetworkToBf16ConverterTests.cpp | |
| parent | cf2ad554502830804e991aca2e5b0741623119b2 (diff) | |
| download | armnn-bc7ffb5e9e5f4c86280b20c65772eb12d8bb140e.tar.gz | |
IVGCVSW-4520 Implement BFloat16 Optimizer
* Add ReduceFp32ToBf16 to OptimizerOptions
* Add ConvertFp32NetworkToBf16
* Add utility functions to insert conversion layers
* Add constant conversion BF16 <-> FP32
* Unit tests
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: Iaff77e20c721400b052cb37eb9ef6fe16d7abaff
Diffstat (limited to 'src/armnn/test/optimizations/Fp32NetworkToBf16ConverterTests.cpp')
| -rw-r--r-- | src/armnn/test/optimizations/Fp32NetworkToBf16ConverterTests.cpp | 45 |
1 files changed, 45 insertions, 0 deletions
diff --git a/src/armnn/test/optimizations/Fp32NetworkToBf16ConverterTests.cpp b/src/armnn/test/optimizations/Fp32NetworkToBf16ConverterTests.cpp new file mode 100644 index 0000000000..90a15487ac --- /dev/null +++ b/src/armnn/test/optimizations/Fp32NetworkToBf16ConverterTests.cpp @@ -0,0 +1,45 @@ +// +// Copyright © 2020 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "../TestUtils.hpp" + +#include <Optimizer.hpp> + +#include <boost/test/unit_test.hpp> + +BOOST_AUTO_TEST_SUITE(Optimizer) +using namespace armnn::optimizations; + +BOOST_AUTO_TEST_CASE(Fp32NetworkToBf16OptimizationTest) +{ + armnn::Graph graph; + + const armnn::TensorInfo infoFP32({ 2, 2, 1, 3 }, armnn::DataType::Float32); + + // Create the simple test network + auto input = graph.AddLayer<armnn::InputLayer>(0, "input"); + input->GetOutputSlot().SetTensorInfo(infoFP32); + + auto floor = graph.AddLayer<armnn::FloorLayer>("floor"); + floor->GetOutputSlot().SetTensorInfo(infoFP32); + + auto output = graph.AddLayer<armnn::OutputLayer>(1, "output"); + + // Connect up the layers + input->GetOutputSlot().Connect(floor->GetInputSlot(0)); + floor->GetOutputSlot().Connect(output->GetInputSlot(0)); + + BOOST_TEST(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>, + &IsLayerOfType<armnn::FloorLayer>, &IsLayerOfType<armnn::OutputLayer>)); + + // Run the optimizer + armnn::Optimizer::Pass(graph, armnn::MakeOptimizations(Fp32NetworkToBf16Converter())); + + BOOST_TEST(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>, + &IsLayerOfType<armnn::ConvertFp32ToBf16Layer>, &IsLayerOfType<armnn::FloorLayer>, + &IsLayerOfType<armnn::ConvertBf16ToFp32Layer>, &IsLayerOfType<armnn::OutputLayer>)); +} + +BOOST_AUTO_TEST_SUITE_END()
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