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/min.hpp"
19 #include "ngraph/graph_util.hpp"
20 #include "ngraph/runtime/host_tensor.hpp"
21 #include "ngraph/runtime/reference/min.hpp"
22 #include "ngraph/shape_util.hpp"
24 NGRAPH_SUPPRESS_DEPRECATED_START
27 using namespace ngraph;
29 constexpr NodeTypeInfo op::v0::Min::type_info;
31 op::v0::Min::Min(const Output<Node>& arg, const AxisSet& reduction_axes)
32 : ArithmeticReduction(arg, reduction_axes)
34 constructor_validate_and_infer_types();
37 op::v0::Min::Min(const Output<Node>& arg, const Output<Node>& reduction_axes)
38 : ArithmeticReduction(arg, reduction_axes)
40 constructor_validate_and_infer_types();
43 shared_ptr<Node> op::v0::Min::clone_with_new_inputs(const OutputVector& new_args) const
45 check_new_args_count(this, new_args);
46 return make_shared<op::v0::Min>(new_args.at(0), get_reduction_axes());
49 shared_ptr<Node> op::v0::Min::get_default_value() const
51 switch (get_element_type())
53 case element::Type_t::boolean:
54 return make_constant_from_string("1", get_element_type(), get_shape());
55 case element::Type_t::bf16:
56 case element::Type_t::f16:
57 case element::Type_t::f32:
58 case element::Type_t::f64:
59 return make_constant_from_string("INFINITY", get_element_type(), get_shape());
60 case element::Type_t::i8:
61 return make_constant_from_string(
62 to_string(numeric_limits<int8_t>::max()), get_element_type(), get_shape());
63 case element::Type_t::i16:
64 return make_constant_from_string(
65 to_string(numeric_limits<int16_t>::max()), get_element_type(), get_shape());
66 case element::Type_t::i32:
67 return make_constant_from_string(
68 to_string(numeric_limits<int32_t>::max()), get_element_type(), get_shape());
69 case element::Type_t::i64:
70 return make_constant_from_string(
71 to_string(numeric_limits<int64_t>::max()), get_element_type(), get_shape());
72 case element::Type_t::u8:
73 return make_constant_from_string(
74 to_string(numeric_limits<uint8_t>::max()), get_element_type(), get_shape());
75 case element::Type_t::u16:
76 return make_constant_from_string(
77 to_string(numeric_limits<uint16_t>::max()), get_element_type(), get_shape());
78 case element::Type_t::u32:
79 return make_constant_from_string(
80 to_string(numeric_limits<uint32_t>::max()), get_element_type(), get_shape());
81 case element::Type_t::u64:
82 return make_constant_from_string(
83 to_string(numeric_limits<uint64_t>::max()), get_element_type(), get_shape());
84 case element::Type_t::u1:
85 case element::Type_t::undefined:
86 case element::Type_t::dynamic:
87 default: throw runtime_error("Min default value not defined for type");
93 template <element::Type_t ET>
94 bool evaluate(const HostTensorPtr& arg, const HostTensorPtr& out, const AxisSet& axes)
96 out->set_shape(reduce(arg->get_shape(), axes, false));
97 runtime::reference::min(
98 arg->get_data_ptr<ET>(), out->get_data_ptr<ET>(), arg->get_shape(), axes);
102 bool evaluate_min(const HostTensorPtr& arg, const HostTensorPtr& out, const AxisSet& axes)
105 switch (arg->get_element_type())
107 TYPE_CASE(i32)(arg, out, axes);
109 TYPE_CASE(i64)(arg, out, axes);
111 TYPE_CASE(u32)(arg, out, axes);
113 TYPE_CASE(u64)(arg, out, axes);
115 TYPE_CASE(f16)(arg, out, axes);
117 TYPE_CASE(f32)(arg, out, axes);
119 default: rc = false; break;
125 bool op::v0::Min::evaluate(const HostTensorVector& outputs, const HostTensorVector& inputs) const
127 OV_ITT_SCOPED_TASK(itt::domains::nGraphOp, "op::v0::Min::evaluate");
128 return minop::evaluate_min(inputs[0], outputs[0], get_reduction_axes());
131 constexpr NodeTypeInfo op::v1::ReduceMin::type_info;
133 op::v1::ReduceMin::ReduceMin(const Output<Node>& arg,
134 const Output<Node>& reduction_axes,
136 : ArithmeticReductionKeepDims(arg, reduction_axes, keep_dims)
138 constructor_validate_and_infer_types();
141 shared_ptr<Node> op::v1::ReduceMin::clone_with_new_inputs(const OutputVector& new_args) const
143 check_new_args_count(this, new_args);
144 return make_shared<op::v1::ReduceMin>(new_args.at(0), new_args.at(1), get_keep_dims());
147 bool op::v1::ReduceMin::evaluate(const HostTensorVector& outputs,
148 const HostTensorVector& inputs) const
150 OV_ITT_SCOPED_TASK(itt::domains::nGraphOp, "op::v1::ReduceMin::evaluate");
151 return minop::evaluate_min(inputs[0], outputs[0], get_reduction_axes());