reduce_mean.hpp
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16 
17 #pragma once
18 
19 #include "ngraph/axis_set.hpp"
20 #include "ngraph/op/util/arithmetic_reductions_keep_dims.hpp"
21 
22 namespace ngraph
23 {
24  namespace op
25  {
26  namespace v1
27  {
29  {
30  public:
31  static constexpr NodeTypeInfo type_info{"ReduceMean", 1};
32  const NodeTypeInfo& get_type_info() const override { return type_info; }
33  ReduceMean() = default;
34 
35  /// \param arg The tensor to be summed.
36  /// \param reduction_axes The axis positions (0-based) to be eliminated.
37  /// \param keep_dims If set to 1 it holds axes that are used for reduction.
38  ReduceMean(const Output<Node>& arg,
39  const Output<Node>& reduction_axes,
40  bool keep_dims = false);
41 
42  size_t get_version() const override { return 1; }
43  std::shared_ptr<Node>
44  clone_with_new_inputs(const OutputVector& new_args) const override;
45 
46  bool evaluate(const HostTensorVector& outputs,
47  const HostTensorVector& inputs) const override;
48  };
49  }
50  }
51 }
ngraph::op::util::ArithmeticReductionKeepDims
Definition: arithmetic_reductions_keep_dims.hpp:29
ngraph::op::v1::ReduceMean::get_type_info
const NodeTypeInfo & get_type_info() const override
Definition: reduce_mean.hpp:32
ngraph::op::v1::ReduceMean::get_version
size_t get_version() const override
Definition: reduce_mean.hpp:42
ngraph
The Intel nGraph C++ API.
Definition: attribute_adapter.hpp:28
ngraph::op::v1::ReduceMean
Definition: reduce_mean.hpp:29
ngraph::op::v1::ReduceMean::ReduceMean
ReduceMean(const Output< Node > &arg, const Output< Node > &reduction_axes, bool keep_dims=false)