diff options
Diffstat (limited to 'src/armnn/test/QuantizerTest.cpp')
| -rw-r--r-- | src/armnn/test/QuantizerTest.cpp | 51 |
1 files changed, 47 insertions, 4 deletions
diff --git a/src/armnn/test/QuantizerTest.cpp b/src/armnn/test/QuantizerTest.cpp index 213018ab85..48602d31f7 100644 --- a/src/armnn/test/QuantizerTest.cpp +++ b/src/armnn/test/QuantizerTest.cpp @@ -1132,6 +1132,52 @@ BOOST_AUTO_TEST_CASE(QuantizeSpaceToBatch) VisitLayersTopologically(quantizedNetworkQSymm16.get(), validatorQSymm16); } +BOOST_AUTO_TEST_CASE(QuantizeSpaceToDepth) +{ + class TestSpaceToDepthQuantization : public TestLeakyReLuActivationQuantization + { + public: + TestSpaceToDepthQuantization(const TensorShape& inputShape, const TensorShape& outputShape) + : TestLeakyReLuActivationQuantization(inputShape, outputShape) + {} + + TestSpaceToDepthQuantization(const QuantizerOptions& options, + const TensorShape& inputShape, + const TensorShape& outputShape) + : TestLeakyReLuActivationQuantization(options, inputShape, outputShape) + {} + + void VisitSpaceToDepthLayer(const IConnectableLayer* layer, + const SpaceToDepthDescriptor&, + const char* = nullptr) override + { + TensorInfo info = layer->GetOutputSlot(0).GetTensorInfo(); + TestQuantizationParams(info, + { 30.0f / g_Asymm8QuantizationBase, 128 }, + { 15.0f / g_Symm16QuantizationBase, 0 }); + } + }; + + INetworkPtr network = INetwork::Create(); + + const TensorShape shape{ 1u }; + TensorInfo info(shape, DataType::Float32); + + IConnectableLayer* activation = CreateStartOfLeakyReluNetwork(network.get(), info); + IConnectableLayer* spaceToDepth = network->AddSpaceToDepthLayer(SpaceToDepthDescriptor()); + + CompleteLeakyReluNetwork(network.get(), activation, spaceToDepth, info); + + INetworkPtr quantizedNetworkQAsymm8 = INetworkQuantizer::Create(network.get())->ExportNetwork(); + TestSpaceToDepthQuantization validatorQAsymm8(shape, shape); + VisitLayersTopologically(quantizedNetworkQAsymm8.get(), validatorQAsymm8); + + const QuantizerOptions options(DataType::QuantisedSymm16); + INetworkPtr quantizedNetworkQSymm16 = INetworkQuantizer::Create(network.get(), options)->ExportNetwork(); + TestSpaceToDepthQuantization validatorQSymm16(options, shape, shape); + VisitLayersTopologically(quantizedNetworkQSymm16.get(), validatorQSymm16); +} + BOOST_AUTO_TEST_CASE(QuantizePooling2d) { class TestPooling2dQuantization : public TestLeakyReLuActivationQuantization @@ -1556,10 +1602,7 @@ std::vector<uint8_t> SetupQuantize(float value) armnn::TensorInfo inputInfo({ 1, 2, 2 }, armnn::DataType::Float32); inputInfo.SetQuantizationScale(1.0f); inputInfo.SetQuantizationOffset(1); - std::vector<float> input({ - value, 0.0f, - 0.0f, 1.0f - }); + std::vector<float> input({ value, 0.0f, 0.0f, 1.0f }); const std::vector<float> &inputRef = input; auto output = QuantizedVector<uint8_t>(inputInfo.GetQuantizationScale(), |