ngraph/core/src/op/subtract.cpp

   1 //*****************************************************************************
   2 // Copyright 2017-2020 Intel Corporation
   3 //
   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
   7 //
   8 //     http://www.apache.org/licenses/LICENSE-2.0
   9 //
  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 //*****************************************************************************
  16
  17 #include "ngraph/op/subtract.hpp"
  18 #include "itt.hpp"
  19 #include "ngraph/op/negative.hpp"
  20 #include "ngraph/runtime/host_tensor.hpp"
  21 #include "ngraph/runtime/reference/subtract.hpp"
  22
  23 NGRAPH_SUPPRESS_DEPRECATED_START
  24
  25 using namespace std;
  26 using namespace ngraph;
  27
  28 // ------------------------------- v0 ------------------------------------------
  29
  30 constexpr NodeTypeInfo op::v0::Subtract::type_info;
  31
  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)
  36 {
  37     constructor_validate_and_infer_types();
  38 }
  39
  40 shared_ptr<Node> op::v0::Subtract::clone_with_new_inputs(const OutputVector& new_args) const
  41 {
  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());
  44 }
  45
  46 shared_ptr<ngraph::Node> ngraph::operator-(const Output<Node> arg0, const Output<Node> arg1)
  47 {
  48     return make_shared<op::v0::Subtract>(arg0, arg1);
  49 }
  50
  51 namespace
  52 {
  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)
  58     {
  59         runtime::reference::subtract(arg0->get_data_ptr<ET>(),
  60                                      arg1->get_data_ptr<ET>(),
  61                                      out->get_data_ptr<ET>(),
  62                                      arg0->get_shape(),
  63                                      arg1->get_shape(),
  64                                      broadcast_spec);
  65         return true;
  66     }
  67
  68     bool evaluate_subtract(const HostTensorPtr& arg0,
  69                            const HostTensorPtr& arg1,
  70                            const HostTensorPtr& out,
  71                            const op::AutoBroadcastSpec& broadcast_spec)
  72     {
  73         bool rc = true;
  74         out->set_broadcast(broadcast_spec, arg0, arg1);
  75         switch (arg0->get_element_type())
  76         {
  77             TYPE_CASE(i32)(arg0, arg1, out, broadcast_spec);
  78             break;
  79             TYPE_CASE(i64)(arg0, arg1, out, broadcast_spec);
  80             break;
  81             TYPE_CASE(u32)(arg0, arg1, out, broadcast_spec);
  82             break;
  83             TYPE_CASE(u64)(arg0, arg1, out, broadcast_spec);
  84             break;
  85             TYPE_CASE(f16)(arg0, arg1, out, broadcast_spec);
  86             break;
  87             TYPE_CASE(f32)(arg0, arg1, out, broadcast_spec);
  88             break;
  89         default: rc = false; break;
  90         }
  91         return rc;
  92     }
  93 }
  94
  95 bool op::v0::Subtract::evaluate(const HostTensorVector& outputs,
  96                                 const HostTensorVector& inputs) const
  97 {
  98     OV_ITT_SCOPED_TASK(itt::domains::nGraphOp, "op::v0::Subtract::evaluate");
  99     return evaluate_subtract(inputs[0], inputs[1], outputs[0], get_autob());
 100 }
 101
 102 // ------------------------------- v1 ------------------------------------------
 103
 104 NGRAPH_RTTI_DEFINITION(op::v1::Subtract, "Subtract", 1, util::BinaryElementwiseArithmetic);
 105
 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)
 110 {
 111     constructor_validate_and_infer_types();
 112 }
 113
 114 shared_ptr<Node> op::v1::Subtract::clone_with_new_inputs(const OutputVector& new_args) const
 115 {
 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());
 118 }
 119
 120 bool op::v1::Subtract::evaluate(const HostTensorVector& outputs,
 121                                 const HostTensorVector& inputs) const
 122 {
 123     OV_ITT_SCOPED_TASK(itt::domains::nGraphOp, "op::v1::Subtract::evaluate");
 124     return evaluate_subtract(inputs[0], inputs[1], outputs[0], get_autob());
 125 }