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 //*****************************************************************************
17 #include "ngraph/op/power.hpp"
19 #include "ngraph/op/divide.hpp"
20 #include "ngraph/op/log.hpp"
21 #include "ngraph/op/multiply.hpp"
22 #include "ngraph/runtime/host_tensor.hpp"
23 #include "ngraph/runtime/reference/power.hpp"
25 NGRAPH_SUPPRESS_DEPRECATED_START
28 using namespace ngraph;
30 // ------------------------------ v0 -------------------------------------------
32 constexpr NodeTypeInfo op::v0::Power::type_info;
34 op::v0::Power::Power(const Output<Node>& arg0,
35 const Output<Node>& arg1,
36 const AutoBroadcastSpec& auto_broadcast)
37 : BinaryElementwiseArithmetic(arg0, arg1, auto_broadcast)
39 constructor_validate_and_infer_types();
42 shared_ptr<Node> op::v0::Power::clone_with_new_inputs(const OutputVector& new_args) const
44 check_new_args_count(this, new_args);
45 return make_shared<op::v0::Power>(new_args.at(0), new_args.at(1), this->get_autob());
50 template <element::Type_t ET>
51 bool evaluate(const HostTensorPtr& arg0,
52 const HostTensorPtr& arg1,
53 const HostTensorPtr& out,
54 const op::AutoBroadcastSpec& broadcast_spec)
56 runtime::reference::power(arg0->get_data_ptr<ET>(),
57 arg1->get_data_ptr<ET>(),
58 out->get_data_ptr<ET>(),
65 bool evaluate_power(const HostTensorPtr& arg0,
66 const HostTensorPtr& arg1,
67 const HostTensorPtr& out,
68 const op::AutoBroadcastSpec& broadcast_spec)
71 out->set_broadcast(broadcast_spec, arg0, arg1);
72 switch (arg0->get_element_type())
74 TYPE_CASE(i32)(arg0, arg1, out, broadcast_spec);
76 TYPE_CASE(i64)(arg0, arg1, out, broadcast_spec);
78 TYPE_CASE(u32)(arg0, arg1, out, broadcast_spec);
80 TYPE_CASE(u64)(arg0, arg1, out, broadcast_spec);
82 TYPE_CASE(f16)(arg0, arg1, out, broadcast_spec);
84 TYPE_CASE(f32)(arg0, arg1, out, broadcast_spec);
86 default: rc = false; break;
92 bool op::v0::Power::evaluate(const HostTensorVector& outputs, const HostTensorVector& inputs) const
94 OV_ITT_SCOPED_TASK(itt::domains::nGraphOp, "op::v0::Power::evaluate");
95 return evaluate_power(inputs[0], inputs[1], outputs[0], get_autob());
98 // ------------------------------ v1 -------------------------------------------
100 constexpr NodeTypeInfo op::v1::Power::type_info;
102 op::v1::Power::Power(const Output<Node>& arg0,
103 const Output<Node>& arg1,
104 const AutoBroadcastSpec& auto_broadcast)
105 : BinaryElementwiseArithmetic(arg0, arg1, auto_broadcast)
107 constructor_validate_and_infer_types();
110 shared_ptr<Node> op::v1::Power::clone_with_new_inputs(const OutputVector& new_args) const
112 check_new_args_count(this, new_args);
113 return make_shared<op::v1::Power>(new_args.at(0), new_args.at(1), this->get_autob());
116 bool op::v1::Power::evaluate(const HostTensorVector& outputs, const HostTensorVector& inputs) const
118 OV_ITT_SCOPED_TASK(itt::domains::nGraphOp, "op::v1::Power::evaluate");
119 return evaluate_power(inputs[0], inputs[1], outputs[0], get_autob());