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/subtract.hpp"
19 #include "ngraph/op/negative.hpp"
20 #include "ngraph/runtime/host_tensor.hpp"
21 #include "ngraph/runtime/reference/subtract.hpp"
23 NGRAPH_SUPPRESS_DEPRECATED_START
26 using namespace ngraph;
28 // ------------------------------- v0 ------------------------------------------
30 constexpr NodeTypeInfo op::v0::Subtract::type_info;
32 op::v0::Subtract::Subtract(const Output<Node>& arg0,
33 const Output<Node>& arg1,
34 const AutoBroadcastSpec& auto_broadcast)
35 : BinaryElementwiseArithmetic(arg0, arg1, auto_broadcast)
37 constructor_validate_and_infer_types();
40 shared_ptr<Node> op::v0::Subtract::clone_with_new_inputs(const OutputVector& new_args) const
42 check_new_args_count(this, new_args);
43 return make_shared<op::v0::Subtract>(new_args.at(0), new_args.at(1), this->get_autob());
46 shared_ptr<ngraph::Node> ngraph::operator-(const Output<Node> arg0, const Output<Node> arg1)
48 return make_shared<op::v0::Subtract>(arg0, arg1);
53 template <element::Type_t ET>
54 bool evaluate(const HostTensorPtr& arg0,
55 const HostTensorPtr& arg1,
56 const HostTensorPtr& out,
57 const op::AutoBroadcastSpec& broadcast_spec)
59 runtime::reference::subtract(arg0->get_data_ptr<ET>(),
60 arg1->get_data_ptr<ET>(),
61 out->get_data_ptr<ET>(),
68 bool evaluate_subtract(const HostTensorPtr& arg0,
69 const HostTensorPtr& arg1,
70 const HostTensorPtr& out,
71 const op::AutoBroadcastSpec& broadcast_spec)
74 out->set_broadcast(broadcast_spec, arg0, arg1);
75 switch (arg0->get_element_type())
77 TYPE_CASE(i32)(arg0, arg1, out, broadcast_spec);
79 TYPE_CASE(i64)(arg0, arg1, out, broadcast_spec);
81 TYPE_CASE(u32)(arg0, arg1, out, broadcast_spec);
83 TYPE_CASE(u64)(arg0, arg1, out, broadcast_spec);
85 TYPE_CASE(f16)(arg0, arg1, out, broadcast_spec);
87 TYPE_CASE(f32)(arg0, arg1, out, broadcast_spec);
89 default: rc = false; break;
95 bool op::v0::Subtract::evaluate(const HostTensorVector& outputs,
96 const HostTensorVector& inputs) const
98 OV_ITT_SCOPED_TASK(itt::domains::nGraphOp, "op::v0::Subtract::evaluate");
99 return evaluate_subtract(inputs[0], inputs[1], outputs[0], get_autob());
102 // ------------------------------- v1 ------------------------------------------
104 NGRAPH_RTTI_DEFINITION(op::v1::Subtract, "Subtract", 1, util::BinaryElementwiseArithmetic);
106 op::v1::Subtract::Subtract(const Output<Node>& arg0,
107 const Output<Node>& arg1,
108 const AutoBroadcastSpec& auto_broadcast)
109 : BinaryElementwiseArithmetic(arg0, arg1, auto_broadcast)
111 constructor_validate_and_infer_types();
114 shared_ptr<Node> op::v1::Subtract::clone_with_new_inputs(const OutputVector& new_args) const
116 check_new_args_count(this, new_args);
117 return make_shared<op::v1::Subtract>(new_args.at(0), new_args.at(1), this->get_autob());
120 bool op::v1::Subtract::evaluate(const HostTensorVector& outputs,
121 const HostTensorVector& inputs) const
123 OV_ITT_SCOPED_TASK(itt::domains::nGraphOp, "op::v1::Subtract::evaluate");
124 return evaluate_subtract(inputs[0], inputs[1], outputs[0], get_autob());