Class ov::op::v0::LRN#
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class LRN : public ov::op::Op#
Elementwise Local Response Normalization (LRN) operation.
Inputs
Type
Description
arg\(N[n, c, d_1,\dots,d_n]~(n \geq 0)\)
A tensor of any shape and numeric element type.
Type
Description
\(N[n, c, d_1,\dots,d_n]\)
The tensor \(T\), where \(T[n, c, d_1,\dots,d_n] = \frac{N[n,i,d_1,\dots,d_n]}{ (bias + alpha * (\sum_{i=max(0,(nsize-1)/2)}^{min(C, (nsize-1)/2)+1} N[n,i,d_1,\dots,d_n]^{2}) ^ {2})}\)
Public Functions
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LRN(const Output<Node> &arg, double alpha, double beta, double bias, size_t size)#
Constructs a LRN operation.
- Parameters:
arg – Node that produces the input tensor.
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virtual void validate_and_infer_types() override#
Verifies that attributes and inputs are consistent and computes output shapes and element types. Must be implemented by concrete child classes so that it can be run any number of times.
Throws if the node is invalid.
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LRN(const Output<Node> &arg, double alpha, double beta, double bias, size_t size)#