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author | mathad01 <matthew.haddon@arm.com> | 2021-04-07 12:07:30 +0100 |
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committer | mathad01 <matthew.haddon@arm.com> | 2021-04-12 15:31:28 +0100 |
commit | b392e9845b7f40ab0c389f29f13f6ec84dd814d1 (patch) | |
tree | d71d260f7ff5ba7498ea653174bd166f27865ee5 /src/armnnTfLiteParser/TfLiteParser.cpp | |
parent | 35ad91c489312c23dddac5e6dffde840fbb85b79 (diff) | |
download | armnn-b392e9845b7f40ab0c389f29f13f6ec84dd814d1.tar.gz |
IVGCVSW-5410 Add front-end support for CAST
IVGCVSW-5415 Add TfLiteParser support for CAST
* Added front end support for CAST, including support in the
Reference workload, Serialization, Deserializtion, Unit tests, and
TfLiteParser.
Signed-off-by: mathad01 <matthew.haddon@arm.com>
Change-Id: Iaf670ca5912a21ed6bc84f7f83a68b42154846bb
Diffstat (limited to 'src/armnnTfLiteParser/TfLiteParser.cpp')
-rw-r--r-- | src/armnnTfLiteParser/TfLiteParser.cpp | 25 |
1 files changed, 25 insertions, 0 deletions
diff --git a/src/armnnTfLiteParser/TfLiteParser.cpp b/src/armnnTfLiteParser/TfLiteParser.cpp index cb3426ea5b..5f8b08bf85 100644 --- a/src/armnnTfLiteParser/TfLiteParser.cpp +++ b/src/armnnTfLiteParser/TfLiteParser.cpp @@ -608,6 +608,7 @@ TfLiteParserImpl::TfLiteParserImpl(const Optional<ITfLiteParser::TfLiteParserOpt m_ParserFunctions[tflite::BuiltinOperator_ARG_MAX] = &TfLiteParserImpl::ParseArgMax; m_ParserFunctions[tflite::BuiltinOperator_AVERAGE_POOL_2D] = &TfLiteParserImpl::ParseAveragePool2D; m_ParserFunctions[tflite::BuiltinOperator_BATCH_TO_SPACE_ND] = &TfLiteParserImpl::ParseBatchToSpaceND; + m_ParserFunctions[tflite::BuiltinOperator_CAST] = &TfLiteParserImpl::ParseCast; m_ParserFunctions[tflite::BuiltinOperator_CONCATENATION] = &TfLiteParserImpl::ParseConcatenation; m_ParserFunctions[tflite::BuiltinOperator_CONV_2D] = &TfLiteParserImpl::ParseConv2D; m_ParserFunctions[tflite::BuiltinOperator_CUSTOM] = &TfLiteParserImpl::ParseCustomOperator; @@ -876,6 +877,30 @@ void TfLiteParserImpl::ParseUnsupportedOperator(size_t subgraphIndex, size_t ope RegisterOutputSlots(subgraphIndex, operatorIndex, layer, outputTensorIds); } +void TfLiteParserImpl::ParseCast(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 = fmt::format("Cast:{}:{}", subgraphIndex, operatorIndex); + + IConnectableLayer* layer = m_Network->AddCastLayer(layerName.c_str()); + ARMNN_ASSERT(layer != nullptr); + + TensorInfo outputTensorInfo = ToTensorInfo(outputs[0], true); + 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 TfLiteParserImpl::ParseConv2D(size_t subgraphIndex, size_t operatorIndex) { CHECK_MODEL(m_Model, subgraphIndex, operatorIndex); |