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author | Ryan OShea <ryan.oshea3@arm.com> | 2023-01-25 18:10:20 +0000 |
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committer | ryan.oshea3 <ryan.oshea3@arm.com> | 2023-02-21 14:36:56 +0000 |
commit | a544f0f5d01ea980ca86e1e13e2530fea4fddcd2 (patch) | |
tree | dead6db771d8d78f1e797d3a556586bd9f5129af /src/armnnUtils/TensorUtils.cpp | |
parent | b2293702c16d107ac1ad80cfac9bd84d804f55d4 (diff) | |
download | armnn-a544f0f5d01ea980ca86e1e13e2530fea4fddcd2.tar.gz |
MLCE-753 Expand Tensorshape for relevent layers before verifying support
Previously we were adding a reshape layer to "broadcast" tensors
for elementwise operations. This broadcast was happening too late
and was really just an expand dims. This was breaking the constant
attributes of tensors and layer support of certain backends.
* Remove addition of reshape layer when expanding dimensions
* Replace broadcast function with expand dims to equal rank function
* Fix some error status checks in various layers
* Add new TensorUtil function that expands dims to a defined rank
* Add unit tests to new TensorUtil function
Signed-off-by: Ryan OShea <ryan.oshea3@arm.com>
Change-Id: I31aca47c98075fef4f86864a15470f5faa55ab8d
Diffstat (limited to 'src/armnnUtils/TensorUtils.cpp')
-rw-r--r-- | src/armnnUtils/TensorUtils.cpp | 25 |
1 files changed, 25 insertions, 0 deletions
diff --git a/src/armnnUtils/TensorUtils.cpp b/src/armnnUtils/TensorUtils.cpp index 03109e0cee..cb73d92ef8 100644 --- a/src/armnnUtils/TensorUtils.cpp +++ b/src/armnnUtils/TensorUtils.cpp @@ -165,6 +165,31 @@ TensorShape ExpandDims(const TensorShape& tensorShape, int axis) return { outputDim, outputShape.data() }; } +TensorShape ExpandDimsToRank(const TensorShape& tensorShape, unsigned int rank) +{ + // Can't expand if rank is smaller than current shape + if (tensorShape.GetNumDimensions() >= rank) + { + return tensorShape; + } + + std::vector<unsigned int> newShape; + + // First add 1s to the beginning of the tensorInfo to fill in the space + for (unsigned int i = 0; i < rank - tensorShape.GetNumDimensions(); ++i) + { + newShape.push_back(1); + } + + // Then iterate through the original shape and append it to the new shape with the added 1s + for (unsigned int i = 0; i < tensorShape.GetNumDimensions(); ++i) + { + newShape.push_back(tensorShape[i]); + } + + return TensorShape(static_cast<unsigned int>(newShape.size()), newShape.data()); +} + std::vector<unsigned int> SqueezeDims(const TensorShape& tensorShape) { std::vector<unsigned int> squeezedDims; |