diff options
Diffstat (limited to 'OutputShapeUtils.cpp')
-rw-r--r-- | OutputShapeUtils.cpp | 64 |
1 files changed, 41 insertions, 23 deletions
diff --git a/OutputShapeUtils.cpp b/OutputShapeUtils.cpp index a1a49d70..739038ac 100644 --- a/OutputShapeUtils.cpp +++ b/OutputShapeUtils.cpp @@ -8,6 +8,42 @@ #include <algorithm> #include <vector> +namespace +{ + +using namespace armnn; + +TensorShape CalculateMaxShape(const TensorShape& inShape0, const TensorShape& inShape1) +{ + // NOTE: The inferred output size will be the maximum size along each dimension + // of inShape0 and inShape1, starting with the trailing dimensions, and working its way forward. + // + // Example: inShape0={4, 1, 2}, inShape1={5, 4, 3, 1} => outputShape={5, 4, 3, 2} + + const unsigned int numInput0Dims = inShape0.GetNumDimensions(); + const unsigned int numInput1Dims = inShape1.GetNumDimensions(); + + const unsigned int maxNumDims = std::max(numInput0Dims, numInput1Dims); + + TensorShape outputShape = TensorShape(maxNumDims); + for (unsigned int reverseIdx = 1u; reverseIdx <= maxNumDims; ++reverseIdx) + { + const int input0Idx = numInput0Dims - reverseIdx; + const int input1Idx = numInput1Dims - reverseIdx; + + const unsigned int input0DimSize = input0Idx >= 0 ? inShape0[input0Idx] : 0u; + const unsigned int input1DimSize = input1Idx >= 0 ? inShape1[input1Idx] : 0u; + + const unsigned int outputIdx = maxNumDims - reverseIdx; + outputShape[outputIdx] = std::max(input0DimSize, input1DimSize); + } + + return outputShape; +} + +} // namespace annonymous + + namespace armnn_driver { @@ -38,30 +74,12 @@ TensorShape InferPadOutputShape(const TensorShape& inputShape, TensorShape InferPreluOutputShape(const TensorShape& inputShape, const TensorShape& alphaShape) { - // NOTE: The inferred PReLU output size will be the maximum size along each dimension - // of input and alpha, starting with the trailing dimensions, and working its way forward. - // - // Example: inputShape={4, 1, 2}, alphaShape={5, 4, 3, 1} => outputShape={5, 4, 3, 2} - - const unsigned int numInputDims = inputShape.GetNumDimensions(); - const unsigned int numAlphaDims = alphaShape.GetNumDimensions(); - - const unsigned int maxNumDims = std::max(numInputDims, numAlphaDims); - - TensorShape outputShape = TensorShape(maxNumDims); - for (unsigned int reverseIdx = 1u; reverseIdx <= maxNumDims; ++reverseIdx) - { - const int inputIdx = numInputDims - reverseIdx; - const int alphaIdx = numAlphaDims - reverseIdx; - - const unsigned int inputDimSize = inputIdx >= 0 ? inputShape[inputIdx] : 0u; - const unsigned int alphaDimSize = alphaIdx >= 0 ? alphaShape[alphaIdx] : 0u; - - const unsigned int outputIdx = maxNumDims - reverseIdx; - outputShape[outputIdx] = std::max(inputDimSize, alphaDimSize); - } + return CalculateMaxShape(inputShape, alphaShape); +} - return outputShape; +TensorShape InferSubOutputShape(const TensorShape& input0Shape, const TensorShape& input1Shape) +{ + return CalculateMaxShape(input0Shape, input1Shape); } } // namespace armnn_driver
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