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authorBruno Goncalves <bruno.slackware@gmail.com>2019-02-12 22:59:22 -0200
committerDerek Lamberti <derek.lamberti@arm.com>2019-02-25 13:45:10 +0000
commit451d95bff7d8cd2d759fbb1b31bbeddd9c332360 (patch)
tree632f06ef5f4159cd8d6fce208e0e72056668729f /src/armnnTfLiteParser/TfLiteParser.cpp
parentf11bab5c4e5f9da85dfef079087cf10b6fabd475 (diff)
downloadarmnn-451d95bff7d8cd2d759fbb1b31bbeddd9c332360.tar.gz
Add strided-slice parser to tf-lite
Change-Id: I1821d7e8123c76823562dd2e8822c5293fcb18c3 Signed-off-by: Bruno Goncalves <bruno.slackware@gmail.com>
Diffstat (limited to 'src/armnnTfLiteParser/TfLiteParser.cpp')
-rw-r--r--src/armnnTfLiteParser/TfLiteParser.cpp57
1 files changed, 57 insertions, 0 deletions
diff --git a/src/armnnTfLiteParser/TfLiteParser.cpp b/src/armnnTfLiteParser/TfLiteParser.cpp
index 521c5db299..bc6316ce7e 100644
--- a/src/armnnTfLiteParser/TfLiteParser.cpp
+++ b/src/armnnTfLiteParser/TfLiteParser.cpp
@@ -436,6 +436,7 @@ TfLiteParser::TfLiteParser()
m_ParserFunctions[tflite::BuiltinOperator_SOFTMAX] = &TfLiteParser::ParseSoftmax;
m_ParserFunctions[tflite::BuiltinOperator_SPACE_TO_BATCH_ND] = &TfLiteParser::ParseSpaceToBatchND;
m_ParserFunctions[tflite::BuiltinOperator_SQUEEZE] = &TfLiteParser::ParseSqueeze;
+ m_ParserFunctions[tflite::BuiltinOperator_STRIDED_SLICE] = &TfLiteParser::ParseStridedSlice;
m_ParserFunctions[tflite::BuiltinOperator_SUB] = &TfLiteParser::ParseSub;
m_ParserFunctions[tflite::BuiltinOperator_ADD] = &TfLiteParser::ParseAdd;
m_ParserFunctions[tflite::BuiltinOperator_MUL] = &TfLiteParser::ParseMul;
@@ -1191,6 +1192,62 @@ void TfLiteParser::ParseSqueeze(size_t subgraphIndex, size_t operatorIndex)
RegisterOutputSlots(subgraphIndex, operatorIndex, layer, {outputTensorIndexes[0]});
}
+void TfLiteParser::ParseStridedSlice(size_t subgraphIndex, size_t operatorIndex)
+{
+ CHECK_MODEL(m_Model, subgraphIndex, operatorIndex);
+
+ auto inputs = GetInputs(m_Model, subgraphIndex, operatorIndex);
+ CHECK_VALID_SIZE(inputs.size(), 4);
+
+ auto outputs = GetOutputs(m_Model, subgraphIndex, operatorIndex);
+ CHECK_VALID_SIZE(outputs.size(), 1);
+
+ const auto & operatorPtr = m_Model->subgraphs[subgraphIndex]->operators[operatorIndex];
+ const auto * options = operatorPtr->builtin_options.AsStridedSliceOptions();
+
+ StridedSliceDescriptor desc;
+ desc.m_BeginMask = options->begin_mask;
+ desc.m_EllipsisMask = options->ellipsis_mask;
+ desc.m_EndMask = options->end_mask;
+ desc.m_NewAxisMask = options->new_axis_mask;
+ desc.m_ShrinkAxisMask = options->shrink_axis_mask;
+ desc.m_DataLayout = armnn::DataLayout::NHWC;
+
+ armnn::TensorInfo beginTensorInfo = ToTensorInfo(inputs[1]);
+ BufferRawPtr beginBufferPtr = GetBuffer(m_Model, inputs[1]->buffer);
+
+ std::vector<int> begin(beginTensorInfo.GetNumElements());
+ ::memcpy(begin.data(), beginBufferPtr->data.data(), beginTensorInfo.GetNumBytes());
+
+ armnn::TensorInfo endTensorInfo = ToTensorInfo(inputs[2]);
+ BufferRawPtr endBufferPtr = GetBuffer(m_Model, inputs[2]->buffer);
+
+ std::vector<int> end(endTensorInfo.GetNumElements());
+ ::memcpy(end.data(), endBufferPtr->data.data(), endTensorInfo.GetNumBytes());
+
+ armnn::TensorInfo strideTensorInfo = ToTensorInfo(inputs[3]);
+ BufferRawPtr strideBufferPtr = GetBuffer(m_Model, inputs[3]->buffer);
+
+ std::vector<int> stride(strideTensorInfo.GetNumElements());
+ ::memcpy(stride.data(), strideBufferPtr->data.data(), strideTensorInfo.GetNumBytes());
+
+ desc.m_Begin = begin;
+ desc.m_End = end;
+ desc.m_Stride = stride;
+
+ auto layerName = boost::str(boost::format("StridedSlice:%1%:%2%") % subgraphIndex % operatorIndex);
+ IConnectableLayer* layer = m_Network->AddStridedSliceLayer(desc, layerName.c_str());
+
+ armnn::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[0]});
+}
+
void TfLiteParser::ParseSub(size_t subgraphIndex, size_t operatorIndex)
{
CHECK_MODEL(m_Model, subgraphIndex, operatorIndex);