ngraph/core/src/op/max.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/max.hpp"
  18 #include "itt.hpp"
  19 #include "ngraph/graph_util.hpp"
  20 #include "ngraph/runtime/host_tensor.hpp"
  21 #include "ngraph/runtime/reference/max.hpp"
  22 #include "ngraph/shape_util.hpp"
  23
  24 using namespace std;
  25 using namespace ngraph;
  26
  27 namespace maxop
  28 {
  29     template <element::Type_t ET>
  30     bool evaluate(const HostTensorPtr& arg,
  31                   const HostTensorPtr& out,
  32                   const AxisSet& axes,
  33                   bool keep_dims)
  34     {
  35         out->set_shape(reduce(arg->get_shape(), axes, keep_dims));
  36         runtime::reference::max(
  37             arg->get_data_ptr<ET>(), out->get_data_ptr<ET>(), arg->get_shape(), axes, keep_dims);
  38         return true;
  39     }
  40
  41     bool evaluate_max(const HostTensorPtr& arg,
  42                       const HostTensorPtr& out,
  43                       const AxisSet& axes,
  44                       bool keep_dims)
  45     {
  46         bool rc = true;
  47         switch (arg->get_element_type())
  48         {
  49             TYPE_CASE(i32)(arg, out, axes, keep_dims);
  50             break;
  51             TYPE_CASE(i64)(arg, out, axes, keep_dims);
  52             break;
  53             TYPE_CASE(u32)(arg, out, axes, keep_dims);
  54             break;
  55             TYPE_CASE(u64)(arg, out, axes, keep_dims);
  56             break;
  57             TYPE_CASE(f16)(arg, out, axes, keep_dims);
  58             break;
  59             TYPE_CASE(f32)(arg, out, axes, keep_dims);
  60             break;
  61         default: rc = false; break;
  62         }
  63         return rc;
  64     }
  65 }
  66
  67 constexpr NodeTypeInfo op::v1::ReduceMax::type_info;
  68
  69 op::v1::ReduceMax::ReduceMax(const Output<Node>& arg,
  70                              const Output<Node>& reduction_axes,
  71                              bool keep_dims)
  72     : ArithmeticReductionKeepDims(arg, reduction_axes, keep_dims)
  73 {
  74     constructor_validate_and_infer_types();
  75 }
  76
  77 shared_ptr<Node> op::v1::ReduceMax::clone_with_new_inputs(const OutputVector& new_args) const
  78 {
  79     check_new_args_count(this, new_args);
  80     return make_shared<op::v1::ReduceMax>(new_args.at(0), new_args.at(1), get_keep_dims());
  81 }
  82
  83 bool op::v1::ReduceMax::evaluate(const HostTensorVector& outputs,
  84                                  const HostTensorVector& inputs) const
  85 {
  86     OV_ITT_SCOPED_TASK(itt::domains::nGraphOp, "op::v1::ReduceMax::evaluate");
  87     return maxop::evaluate_max(inputs[0], outputs[0], get_reduction_axes(), get_keep_dims());
  88 }