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author | Darshan Patel <darsh.jp@gmail.com> | 2020-05-26 22:22:42 +0530 |
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committer | TeresaARM <teresa.charlinreyes@arm.com> | 2020-05-27 14:05:26 +0000 |
commit | 83fcf988cc1d5c9254a19258d6d67362c04bbaf4 (patch) | |
tree | cc9937da3e0f4625e74515e50aa37f9822bc3525 /src/armnnTfLiteParser | |
parent | 9fabf4336bb1e966f3fa192106dcb46562deebcd (diff) | |
download | armnn-83fcf988cc1d5c9254a19258d6d67362c04bbaf4.tar.gz |
Add NEG support to TFLite parser
* Added unit tests
* Updated Documentation
Signed-off-by: Darshan Patel <darsh.jp@gmail.com>
Change-Id: Id22ffebe60732a93798f72801eb8a2a23cdd7ec0
Diffstat (limited to 'src/armnnTfLiteParser')
-rw-r--r-- | src/armnnTfLiteParser/TensorFlowLiteSupport.md | 2 | ||||
-rw-r--r-- | src/armnnTfLiteParser/TfLiteParser.cpp | 26 | ||||
-rw-r--r-- | src/armnnTfLiteParser/TfLiteParser.hpp | 1 | ||||
-rw-r--r-- | src/armnnTfLiteParser/test/Neg.cpp | 85 |
4 files changed, 114 insertions, 0 deletions
diff --git a/src/armnnTfLiteParser/TensorFlowLiteSupport.md b/src/armnnTfLiteParser/TensorFlowLiteSupport.md index ff80ffc13f..9718b22798 100644 --- a/src/armnnTfLiteParser/TensorFlowLiteSupport.md +++ b/src/armnnTfLiteParser/TensorFlowLiteSupport.md @@ -42,6 +42,8 @@ The Arm NN SDK TensorFlow Lite parser currently supports the following operators * MUL +* NEG + * PACK * PAD diff --git a/src/armnnTfLiteParser/TfLiteParser.cpp b/src/armnnTfLiteParser/TfLiteParser.cpp index f4f675ea98..08bd68d2ae 100644 --- a/src/armnnTfLiteParser/TfLiteParser.cpp +++ b/src/armnnTfLiteParser/TfLiteParser.cpp @@ -510,6 +510,7 @@ TfLiteParser::TfLiteParser(const Optional<ITfLiteParser::TfLiteParserOptions>& o m_ParserFunctions[tflite::BuiltinOperator_MEAN] = &TfLiteParser::ParseMean; m_ParserFunctions[tflite::BuiltinOperator_MINIMUM] = &TfLiteParser::ParseMinimum; m_ParserFunctions[tflite::BuiltinOperator_MUL] = &TfLiteParser::ParseMul; + m_ParserFunctions[tflite::BuiltinOperator_NEG] = &TfLiteParser::ParseNeg; m_ParserFunctions[tflite::BuiltinOperator_PACK] = &TfLiteParser::ParsePack; m_ParserFunctions[tflite::BuiltinOperator_PAD] = &TfLiteParser::ParsePad; m_ParserFunctions[tflite::BuiltinOperator_QUANTIZE] = &TfLiteParser::ParseQuantize; @@ -1819,6 +1820,31 @@ void TfLiteParser::ParseMean(size_t subgraphIndex, size_t operatorIndex) RegisterOutputSlots(subgraphIndex, operatorIndex, layer, {outputTensorIndexes[0]}); } +void TfLiteParser::ParseNeg(size_t subgraphIndex, size_t operatorIndex) +{ + CHECK_MODEL(m_Model, subgraphIndex, operatorIndex); + + auto inputs = GetInputs(m_Model, subgraphIndex, operatorIndex); + CHECK_VALID_SIZE(inputs.size(), 1); + + auto outputs = GetOutputs(m_Model, subgraphIndex, operatorIndex); + CHECK_VALID_SIZE(outputs.size(), 1); + + auto layerName = boost::str(boost::format("Neg:%1%:%2%") % subgraphIndex % operatorIndex); + armnn::ElementwiseUnaryDescriptor descriptor(armnn::UnaryOperation::Neg); + IConnectableLayer* layer = m_Network->AddElementwiseUnaryLayer(descriptor, layerName.c_str()); + ARMNN_ASSERT(layer != nullptr); + + TensorInfo outputTensorInfo = ToTensorInfo(outputs[0]); + layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); + + auto inputTensorIndexes = AsUnsignedVector(GetInputTensorIds(m_Model, subgraphIndex, operatorIndex)); + RegisterInputSlots(subgraphIndex, operatorIndex, layer, {inputTensorIndexes[0]}); + + auto outputTensorIndexes = AsUnsignedVector(GetOutputTensorIds(m_Model, subgraphIndex, operatorIndex)); + RegisterOutputSlots(subgraphIndex, operatorIndex, layer, outputTensorIndexes); +} + void TfLiteParser::ParsePad(size_t subgraphIndex, size_t operatorIndex) { CHECK_MODEL(m_Model, subgraphIndex, operatorIndex); diff --git a/src/armnnTfLiteParser/TfLiteParser.hpp b/src/armnnTfLiteParser/TfLiteParser.hpp index f0f75afabd..c252b0f73f 100644 --- a/src/armnnTfLiteParser/TfLiteParser.hpp +++ b/src/armnnTfLiteParser/TfLiteParser.hpp @@ -112,6 +112,7 @@ private: void ParseMean(size_t subgraphIndex, size_t operatorIndex); void ParseMinimum(size_t subgraphIndex, size_t operatorIndex); void ParseMul(size_t subgraphIndex, size_t operatorIndex); + void ParseNeg(size_t subgraphIndex, size_t operatorIndex); void ParsePack(size_t subgraphIndex, size_t operatorIndex); void ParsePad(size_t subgraphIndex, size_t operatorIndex); void ParsePool(size_t subgraphIndex, size_t operatorIndex, armnn::PoolingAlgorithm algorithm); diff --git a/src/armnnTfLiteParser/test/Neg.cpp b/src/armnnTfLiteParser/test/Neg.cpp new file mode 100644 index 0000000000..39e1f9e82c --- /dev/null +++ b/src/armnnTfLiteParser/test/Neg.cpp @@ -0,0 +1,85 @@ +// +// Copyright © 2020 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include <boost/test/unit_test.hpp> +#include "ParserFlatbuffersFixture.hpp" +#include "../TfLiteParser.hpp" + +#include <string> + +BOOST_AUTO_TEST_SUITE(TensorflowLiteParser) + +struct NegFixture : public ParserFlatbuffersFixture +{ + explicit NegFixture(const std::string & inputShape, + const std::string & outputShape) + { + m_JsonString = R"( + { + "version": 3, + "operator_codes": [ { "builtin_code": "NEG" } ], + "subgraphs": [ { + "tensors": [ + { + "shape": )" + inputShape + R"(, + "type": "FLOAT32", + "buffer": 0, + "name": "inputTensor", + "quantization": { + "min": [ 0.0 ], + "max": [ 255.0 ], + "scale": [ 1.0 ], + "zero_point": [ 0 ], + } + }, + { + "shape": )" + outputShape + R"( , + "type": "FLOAT32", + "buffer": 1, + "name": "outputTensor", + "quantization": { + "min": [ 0.0 ], + "max": [ 255.0 ], + "scale": [ 1.0 ], + "zero_point": [ 0 ], + } + } + ], + "inputs": [ 0 ], + "outputs": [ 1 ], + "operators": [ + { + "opcode_index": 0, + "inputs": [ 0 ], + "outputs": [ 1 ], + "custom_options_format": "FLEXBUFFERS" + } + ], + } ], + "buffers" : [ + { }, + { } + ] + } + )"; + Setup(); + } +}; + +struct SimpleNegFixture : public NegFixture +{ + SimpleNegFixture() : NegFixture("[ 1, 2, 3, 1 ]", "[ 1, 2, 3, 1 ]") {} +}; + +BOOST_FIXTURE_TEST_CASE(ParseNeg, SimpleNegFixture) +{ + using armnn::DataType; + RunTest<4, DataType::Float32>(0, {{ "inputTensor", { 0.0f, 1.0f, -2.0f, + 20.0855185f, -54.5980834f, 5.0f} }}, + {{ "outputTensor",{ 0.0f, -1.0f, 2.0f, + -20.0855185f, 54.5980834f, -5.0f} }}); +} + +BOOST_AUTO_TEST_SUITE_END() |