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author | Sadik Armagan <sadik.armagan@arm.com> | 2021-02-11 13:57:07 +0000 |
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committer | Sadik Armagan <sadik.armagan@arm.com> | 2021-02-11 13:57:07 +0000 |
commit | 49bdb794170c3d25e3e51fc7b4c267c3d8dbcebf (patch) | |
tree | 1dcfc4495d48320e27354e7a2ff85b6aa3ada5ea /src/armnnTfLiteParser/TfLiteParser.cpp | |
parent | a35b40bb58b2de20893f64a5941ccc54d64a8ffa (diff) | |
download | armnn-49bdb794170c3d25e3e51fc7b4c267c3d8dbcebf.tar.gz |
MLCE-360 'ReduceLayer InferOutputShape Issue'
* Updated ParseReduce() function in TfLiteParser to read correct axis data
* Remove unused m_TargetWidth and m_TargetHight from ReduceDescriptor
* Updated the ArmNN Serializer Schema
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I98b6e00ccba1d8ea8c845cb1ae28840e42339629
Diffstat (limited to 'src/armnnTfLiteParser/TfLiteParser.cpp')
-rw-r--r-- | src/armnnTfLiteParser/TfLiteParser.cpp | 21 |
1 files changed, 12 insertions, 9 deletions
diff --git a/src/armnnTfLiteParser/TfLiteParser.cpp b/src/armnnTfLiteParser/TfLiteParser.cpp index 8ce1667557..ab32ef7822 100644 --- a/src/armnnTfLiteParser/TfLiteParser.cpp +++ b/src/armnnTfLiteParser/TfLiteParser.cpp @@ -3091,19 +3091,24 @@ void TfLiteParserImpl::ParseReduce(size_t subgraphIndex, size_t operatorIndex, R armnn::TensorInfo inputTensorInfo0 = ToTensorInfo(inputs[0]); armnn::TensorInfo inputTensorInfo1 = ToTensorInfo(inputs[1]); - TensorShape input0Shape = inputTensorInfo0.GetShape(); ReduceDescriptor desc; - BufferRawPtr axisBufferPtr = GetBuffer(m_Model, inputs[1]->buffer); // Get const axis value from model and set it to descriptor. if (axisBufferPtr != nullptr) { - for (uint32_t i = 0; i < inputTensorInfo1.GetNumElements(); ++i) - { - desc.m_vAxis.push_back(armnnUtils::GetUnsignedAxis(inputTensorInfo0.GetNumDimensions(), - axisBufferPtr->data.data()[i])); - } + std::vector<int32_t> axisData(inputTensorInfo1.GetNumElements()); + ::memcpy(axisData.data(), axisBufferPtr->data.data(), inputTensorInfo1.GetNumBytes()); + + // Convert the axis to unsigned int and remove duplicates. + auto rank = static_cast<int32_t>(inputTensorInfo0.GetNumDimensions()); + std::set<unsigned int> uniqueAxis; + std::transform(axisData.begin(), + axisData.end(), + std::inserter(uniqueAxis, uniqueAxis.begin()), + [rank](int i)->unsigned int{ + return static_cast<uint32_t>(((i + rank) % rank)); }); + desc.m_vAxis.assign(uniqueAxis.begin(), uniqueAxis.end()); } else { @@ -3113,8 +3118,6 @@ void TfLiteParserImpl::ParseReduce(size_t subgraphIndex, size_t operatorIndex, R } } - desc.m_TargetHeight = input0Shape[1]; - desc.m_TargetWidth = input0Shape[2]; desc.m_KeepDims = options->keep_dims; desc.m_ReduceOperation = reduceOperation; |