Class ov::op::v1::ReduceSum#
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class ReduceSum : public ov::op::util::ArithmeticReductionKeepDims#
Tensor sum operation.
Element-wise sums the input tensor, eliminating the specified reduction axes. For example:
\[\begin{split} \mathit{sum}\left(\{0\}, \left[ \begin{array}{ccc} 1 & 2 \\ 3 & 4 \\ 5 & 6 \end{array} \right]\right) = \left[ (1 + 3 + 5), (2 + 4 + 6) \right] = \left[ 9, 12 \right]~~~\text{(dimension 0 (rows) is eliminated)} \end{split}\]\[\begin{split} \mathit{sum}\left(\{1\}, \left[ \begin{array}{ccc} 1 & 2 \\ 3 & 4 \\ 5 & 6 \end{array} \right]\right) = \left[ (1 + 2), (3 + 4), (5 + 6) \right] = \left[ 3, 7, 11 \right]~~~\text{(dimension 1 (columns) is eliminated)} \end{split}\]\[\begin{split} \mathit{sum}\left(\{0,1\}, \left[ \begin{array}{ccc} 1 & 2 \\ 3 & 4 \\ 5 & 6 \end{array} \right]\right) = (1 + 2) + (3 + 4) + (5 + 6) = 21~~~\text{(both dimensions (rows and columns) are eliminated)} \end{split}\]Parameters
Description
reduction_axesThe axes to eliminate through summation.
keep_dimsIf set to 1 it holds axes that are used for reduction.
Inputs
Type
Description
arg\(N[d_1,\dots,d_n]~(n \geq 0)\)
An input tensor of any shape and numeric element type.
Type
Description
\(N[\textit{delete}(A,d_1,\dots,d_n)]\)
The tensor \(T\), where \(T\) is the input tensor with the
reduction_axes\(A\) eliminated by summation.Public Functions
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ReduceSum() = default#
Constructs a summation operation.
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ReduceSum(const Output<Node> &arg, const Output<Node> &reduction_axes, bool keep_dims = false)#
Constructs a summation operation.
- Parameters:
arg – The tensor to be summed.
reduction_axes – The axis positions (0-based) to be eliminated.
keep_dims – If set to 1 it holds axes that are used for reduction.
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virtual bool has_evaluate() const override#
Allows to get information about availability of evaluate method for the current operation.
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ReduceSum() = default#