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author | Nattapat Chaimanowong <nattapat.chaimanowong@arm.com> | 2019-02-20 17:31:34 +0000 |
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committer | Nattapat Chaimanowong <nattapat.chaimanowong@arm.com> | 2019-02-20 17:31:34 +0000 |
commit | 30b0020478652e441a5dff4880261f7c7007bb6c (patch) | |
tree | fed46af6b7a62acdcd9ffb906e00efb679572883 /src/armnnDeserializer | |
parent | af484013329a8ca5b3c4c9d16395fb79dd19b1b2 (diff) | |
download | armnn-30b0020478652e441a5dff4880261f7c7007bb6c.tar.gz |
IVGCVSW-2702 Add Serializer and Deserializer for Permute
Change-Id: I56322cb935de42cfa25bd1fbb0c09d00c7a5dd2b
Signed-off-by: Nattapat Chaimanowong <nattapat.chaimanowong@arm.com>
Diffstat (limited to 'src/armnnDeserializer')
-rw-r--r-- | src/armnnDeserializer/Deserializer.cpp | 29 | ||||
-rw-r--r-- | src/armnnDeserializer/Deserializer.hpp | 1 | ||||
-rw-r--r-- | src/armnnDeserializer/DeserializerSupport.md | 1 | ||||
-rw-r--r-- | src/armnnDeserializer/test/DeserializePermute.cpp | 137 |
4 files changed, 167 insertions, 1 deletions
diff --git a/src/armnnDeserializer/Deserializer.cpp b/src/armnnDeserializer/Deserializer.cpp index 2462061190..ead4fc5453 100644 --- a/src/armnnDeserializer/Deserializer.cpp +++ b/src/armnnDeserializer/Deserializer.cpp @@ -175,6 +175,7 @@ m_ParserFunctions(Layer_MAX+1, &Deserializer::ParseUnsupportedLayer) m_ParserFunctions[Layer_Convolution2dLayer] = &Deserializer::ParseConvolution2d; m_ParserFunctions[Layer_DepthwiseConvolution2dLayer] = &Deserializer::ParseDepthwiseConvolution2d; m_ParserFunctions[Layer_MultiplicationLayer] = &Deserializer::ParseMultiplication; + m_ParserFunctions[Layer_PermuteLayer] = &Deserializer::ParsePermute; m_ParserFunctions[Layer_Pooling2dLayer] = &Deserializer::ParsePooling2d; m_ParserFunctions[Layer_ReshapeLayer] = &Deserializer::ParseReshape; m_ParserFunctions[Layer_SoftmaxLayer] = &Deserializer::ParseSoftmax; @@ -200,6 +201,8 @@ Deserializer::LayerBaseRawPtr Deserializer::GetBaseLayer(const GraphPtr& graphPt return graphPtr->layers()->Get(layerIndex)->layer_as_MultiplicationLayer()->base(); case Layer::Layer_OutputLayer: return graphPtr->layers()->Get(layerIndex)->layer_as_OutputLayer()->base()->base(); + case Layer::Layer_PermuteLayer: + return graphPtr->layers()->Get(layerIndex)->layer_as_PermuteLayer()->base(); case Layer::Layer_Pooling2dLayer: return graphPtr->layers()->Get(layerIndex)->layer_as_Pooling2dLayer()->base(); case Layer::Layer_ReshapeLayer: @@ -831,8 +834,32 @@ void Deserializer::ParseMultiplication(unsigned int layerIndex) RegisterOutputSlots(layerIndex, layer); } +void Deserializer::ParsePermute(unsigned int layerIndex) +{ + CHECK_LAYERS(m_Graph, 0, layerIndex); + + auto dimsMapping = + m_Graph->layers()->Get(layerIndex)->layer_as_PermuteLayer()->descriptor()->dimMappings(); + + auto inputs = GetInputs(m_Graph, layerIndex); + CHECK_VALID_SIZE(inputs.size(), 1); + + auto outputs = GetOutputs(m_Graph, layerIndex); + CHECK_VALID_SIZE(outputs.size(), 1); + auto outputInfo = ToTensorInfo(outputs[0]); + + m_layerName = boost::str(boost::format("Permute:%1%") % layerIndex); + const armnn::PermuteDescriptor descriptor(armnn::PermutationVector(dimsMapping->data(), dimsMapping->Length())); + + IConnectableLayer* layer = m_Network->AddPermuteLayer(descriptor, m_layerName.c_str()); + layer->GetOutputSlot(0).SetTensorInfo(outputInfo); + + RegisterInputSlots(layerIndex, layer); + RegisterOutputSlots(layerIndex, layer); +} + armnn::Pooling2dDescriptor Deserializer::GetPoolingDescriptor(Deserializer::PoolingDescriptor pooling2dDesc, - unsigned int layerIndex) + unsigned int layerIndex) { armnn::Pooling2dDescriptor desc; diff --git a/src/armnnDeserializer/Deserializer.hpp b/src/armnnDeserializer/Deserializer.hpp index bf78e10f40..6af1afb776 100644 --- a/src/armnnDeserializer/Deserializer.hpp +++ b/src/armnnDeserializer/Deserializer.hpp @@ -73,6 +73,7 @@ private: void ParseConvolution2d(unsigned int layerIndex); void ParseDepthwiseConvolution2d(unsigned int layerIndex); void ParseMultiplication(unsigned int layerIndex); + void ParsePermute(unsigned int layerIndex); void ParsePooling2d(unsigned int layerIndex); void ParseReshape(unsigned int layerIndex); void ParseSoftmax(unsigned int layerIndex); diff --git a/src/armnnDeserializer/DeserializerSupport.md b/src/armnnDeserializer/DeserializerSupport.md index 86d3d02415..14c720ac81 100644 --- a/src/armnnDeserializer/DeserializerSupport.md +++ b/src/armnnDeserializer/DeserializerSupport.md @@ -11,6 +11,7 @@ The Arm NN SDK Deserialize parser currently supports the following layers: * DepthwiseConvolution2d * FullyConnected * Multiplication +* Permute * Pooling2d * Reshape * Softmax diff --git a/src/armnnDeserializer/test/DeserializePermute.cpp b/src/armnnDeserializer/test/DeserializePermute.cpp new file mode 100644 index 0000000000..6d08b5fee9 --- /dev/null +++ b/src/armnnDeserializer/test/DeserializePermute.cpp @@ -0,0 +1,137 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include <boost/test/unit_test.hpp> +#include "ParserFlatbuffersSerializeFixture.hpp" +#include "../Deserializer.hpp" + +#include <string> + +BOOST_AUTO_TEST_SUITE(Deserializer) + +struct PermuteFixture : public ParserFlatbuffersSerializeFixture +{ + explicit PermuteFixture(const std::string &inputShape, + const std::string &dimMappings, + const std::string &outputShape, + const std::string &dataType) + { + m_JsonString = R"( + { + inputIds: [0], + outputIds: [2], + layers: [ + { + layer_type: "InputLayer", + layer: { + base: { + layerBindingId: 0, + base: { + index: 0, + layerName: "InputLayer", + layerType: "Input", + inputSlots: [{ + index: 0, + connection: {sourceLayerIndex:0, outputSlotIndex:0 }, + }], + outputSlots: [{ + index: 0, + tensorInfo: { + dimensions: )" + inputShape + R"(, + dataType: )" + dataType + R"( + } + }] + } + } + } + }, + { + layer_type: "PermuteLayer", + layer: { + base: { + index: 1, + layerName: "PermuteLayer", + layerType: "Permute", + inputSlots: [{ + index: 0, + connection: {sourceLayerIndex:0, outputSlotIndex:0 }, + }], + outputSlots: [{ + index: 0, + tensorInfo: { + dimensions: )" + outputShape + R"(, + dataType: )" + dataType + R"( + } + }] + }, + descriptor: { + dimMappings: )" + dimMappings + R"(, + } + } + }, + { + layer_type: "OutputLayer", + layer: { + base:{ + layerBindingId: 2, + base: { + index: 2, + layerName: "OutputLayer", + layerType: "Output", + inputSlots: [{ + index: 0, + connection: {sourceLayerIndex:1, outputSlotIndex:0 }, + }], + outputSlots: [{ + index: 0, + tensorInfo: { + dimensions: )" + outputShape + R"(, + dataType: )" + dataType + R"( + }, + }], + } + } + }, + } + ] + } + )"; + SetupSingleInputSingleOutput("InputLayer", "OutputLayer"); + } +}; + +struct SimplePermute2DFixture : PermuteFixture +{ + SimplePermute2DFixture() : PermuteFixture("[ 2, 3 ]", + "[ 1, 0 ]", + "[ 3, 2 ]", + "QuantisedAsymm8") {} +}; + +BOOST_FIXTURE_TEST_CASE(SimplePermute2DQuantisedAsymm8, SimplePermute2DFixture) +{ + RunTest<2, armnn::DataType::QuantisedAsymm8>(0, + { 1, 2, 3, 4, 5, 6 }, + { 1, 4, 2, 5, 3, 6 }); +} + +struct SimplePermute4DFixture : PermuteFixture +{ + SimplePermute4DFixture() : PermuteFixture("[ 1, 2, 3, 4 ]", + "[ 3, 2, 1, 0 ]", + "[ 4, 3, 2, 1 ]", + "QuantisedAsymm8") {} +}; + +BOOST_FIXTURE_TEST_CASE(SimplePermute4DQuantisedAsymm8, SimplePermute4DFixture) +{ + RunTest<4, armnn::DataType::QuantisedAsymm8>(0, + { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, + 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24 }, + { 1, 13, 5, 17, 9, 21, 2, 14, 6, 18, 10, 22, + 3, 15, 7, 19, 11, 23, 4, 16, 8, 20, 12, 24 }); +} + +BOOST_AUTO_TEST_SUITE_END() |