Class ov::op::v1::Mod¶
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class Mod : public ov::op::util::BinaryElementwiseArithmetic¶
Mod returns an element-wise division reminder with two given tensors applying multi-directional broadcast rules.
Public Functions
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Mod(const Output<Node> &A, const Output<Node> &B, const AutoBroadcastSpec &auto_broadcast = AutoBroadcastSpec(AutoBroadcastType::NUMPY))¶
- Parameters
A – - Dividend tensor
B – - Divisor tensor
auto_broadcast – Auto broadcast specification
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virtual bool evaluate(ov::TensorVector &outputs, const ov::TensorVector &inputs) const override¶
Evaluates the op on input_values putting results in output_values.
- Parameters
output_values – Tensors for the outputs to compute. One for each result
input_values – Tensors for the inputs. One for each inputs.
- Returns
true if successful
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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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Mod(const Output<Node> &A, const Output<Node> &B, const AutoBroadcastSpec &auto_broadcast = AutoBroadcastSpec(AutoBroadcastType::NUMPY))¶