1 //*****************************************************************************
2 // Copyright 2017-2020 Intel Corporation
4 // Licensed under the Apache License, Version 2.0 (the "License");
5 // you may not use this file except in compliance with the License.
6 // You may obtain a copy of the License at
8 // http://www.apache.org/licenses/LICENSE-2.0
10 // Unless required by applicable law or agreed to in writing, software
11 // distributed under the License is distributed on an "AS IS" BASIS,
12 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 // See the License for the specific language governing permissions and
14 // limitations under the License.
15 //*****************************************************************************
19 #include "ngraph/op/util/binary_elementwise_arithmetic.hpp"
27 /// \brief Elementwise maximum operation.
28 class NGRAPH_DEPRECATED(
29 "This operation is deprecated and will be removed soon. "
30 "Use v1::Maximum instead of it.") NGRAPH_API Maximum
31 : public util::BinaryElementwiseArithmetic
33 NGRAPH_SUPPRESS_DEPRECATED_START
35 static constexpr NodeTypeInfo type_info{"Maximum", 0};
36 const NodeTypeInfo& get_type_info() const override { return type_info; }
37 /// \brief Constructs a maximum operation.
39 : util::BinaryElementwiseArithmetic(AutoBroadcastSpec::NONE)
42 /// \brief Constructs a maximum operation.
44 /// \param arg0 Node that produces the first input tensor.
45 /// \param arg1 Node that produces the second input tensor.
46 /// \param auto_broadcast Auto broadcast specification
47 Maximum(const Output<Node>& arg0,
48 const Output<Node>& arg1,
49 const AutoBroadcastSpec& auto_broadcast = AutoBroadcastSpec());
51 virtual std::shared_ptr<Node>
52 clone_with_new_inputs(const OutputVector& new_args) const override;
54 bool evaluate(const HostTensorVector& outputs,
55 const HostTensorVector& inputs) const override;
56 NGRAPH_SUPPRESS_DEPRECATED_END
62 /// \brief Elementwise maximum operation.
63 class NGRAPH_API Maximum : public util::BinaryElementwiseArithmetic
66 static constexpr NodeTypeInfo type_info{"Maximum", 1};
67 const NodeTypeInfo& get_type_info() const override { return type_info; }
68 /// \brief Constructs a maximum operation.
70 : util::BinaryElementwiseArithmetic(AutoBroadcastSpec::NUMPY)
74 /// \brief Constructs a maximum operation.
76 /// \param arg0 Node that produces the first input tensor.
77 /// \param arg1 Node that produces the second input tensor.
78 /// \param auto_broadcast Auto broadcast specification
79 Maximum(const Output<Node>& arg0,
80 const Output<Node>& arg1,
81 const AutoBroadcastSpec& auto_broadcast =
82 AutoBroadcastSpec(AutoBroadcastType::NUMPY));
84 virtual std::shared_ptr<Node>
85 clone_with_new_inputs(const OutputVector& new_args) const override;
87 bool evaluate(const HostTensorVector& outputs,
88 const HostTensorVector& inputs) const override;
92 NGRAPH_SUPPRESS_DEPRECATED_START
94 NGRAPH_SUPPRESS_DEPRECATED_END