prelu.hpp
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16 
17 #pragma once
18 
19 #include "ngraph/node.hpp"
20 #include "ngraph/op/op.hpp"
21 #include "ngraph/op/util/fused_op.hpp"
22 
23 NGRAPH_SUPPRESS_DEPRECATED_START
24 
25 namespace ngraph
26 {
27  namespace op
28  {
29  namespace v0
30  {
31  /// \brief Parametrized Relu
32  /// x < 0 => f(x) = x * slope
33  /// x >= 0 => f(x) = x
34  ///
35  class NGRAPH_API PRelu : public ngraph::op::util::FusedOp
36  {
37  public:
38  NGRAPH_RTTI_DECLARATION;
39  PRelu();
40  /// \brief Constructs a PRelu operation.
41  ///
42  /// \param data Input tensor
43  /// \param slope Multipliers for negative values
44  PRelu(const Output<Node>& data, const Output<Node>& slope);
45 
46  bool visit_attributes(AttributeVisitor& visitor) override;
47  virtual OutputVector decompose_op() const override;
48 
49  virtual std::shared_ptr<Node>
50  clone_with_new_inputs(const OutputVector& new_args) const override;
51 
52  void pre_validate_and_infer_types() override;
53 
54  bool evaluate(const HostTensorVector& outputs,
55  const HostTensorVector& inputs) const override;
56  };
57  }
58  using v0::PRelu;
59  }
60 }
61 
62 NGRAPH_SUPPRESS_DEPRECATED_END
Visits the attributes of a node, primarily for serialization-like tasks.
Definition: attribute_visitor.hpp:71
A handle for one of a node's outputs.
Definition: node_output.hpp:42
Parametrized Relu x < 0 => f(x) = x * slope x >= 0 => f(x) = x.
Definition: prelu.hpp:36
PRelu(const Output< Node > &data, const Output< Node > &slope)
Constructs a PRelu operation.
The Intel nGraph C++ API.
Definition: attribute_adapter.hpp:28