[core]Migrate Sign operator to new API (#20875)
* Migrate Sign operator to new API * Optimize Sign reference implementation * Fix code style
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@ -22,11 +22,8 @@ public:
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/// \param arg Node that produces the input tensor.
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Sign(const Output<Node>& arg);
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bool visit_attributes(AttributeVisitor& visitor) override;
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std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
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OPENVINO_SUPPRESS_DEPRECATED_START
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bool evaluate(const HostTensorVector& outputs, const HostTensorVector& inputs) const override;
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OPENVINO_SUPPRESS_DEPRECATED_END
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bool evaluate(TensorVector& outputs, const TensorVector& inputs) const override;
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bool has_evaluate() const override;
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};
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} // namespace v0
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@ -4,15 +4,35 @@
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#pragma once
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#include <algorithm>
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#include <cstddef>
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#include "openvino/reference/utils/type_util.hpp"
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namespace ov {
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namespace reference {
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namespace func {
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template <class T, typename std::enable_if<std::is_unsigned<T>::value>::type* = nullptr>
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constexpr T sign(const T v) {
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return static_cast<T>(static_cast<bool>(v));
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}
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template <class T, typename std::enable_if<ov::is_floating_point<T>() || std::is_signed<T>::value>::type* = nullptr>
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constexpr T sign(const T v) {
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return static_cast<T>((T{0} < v) - (v < T{0}));
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}
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} // namespace func
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/**
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* @brief Reference implementation of Sign operator.
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*
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* @param arg Pointer to input data.
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* @param out Pointer to output data.
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* @param count Number of elements in input buffer.
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*/
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template <typename T>
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void sign(const T* arg, T* out, size_t count) {
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for (size_t i = 0; i < count; i++) {
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out[i] = (arg[i] < T(0) ? T(-1) : (arg[i] > T(0) ? T(1) : T(0)));
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}
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std::transform(arg, arg + count, out, func::sign<T>);
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}
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} // namespace reference
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} // namespace ov
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@ -2,81 +2,67 @@
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// SPDX-License-Identifier: Apache-2.0
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//
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#include "ngraph/op/sign.hpp"
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#include "openvino/op/sign.hpp"
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#include "element_visitor.hpp"
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#include "itt.hpp"
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#include "ngraph/runtime/host_tensor.hpp"
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#include "ngraph/validation_util.hpp"
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#include "openvino/reference/sign.hpp"
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using namespace std;
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using namespace ngraph;
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namespace ov {
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namespace op {
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op::Sign::Sign(const Output<Node>& arg) : UnaryElementwiseArithmetic(arg) {
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namespace sign {
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struct Evaluate : element::NoAction<bool> {
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using element::NoAction<bool>::visit;
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template <element::Type_t ET, class T = fundamental_type_for<ET>>
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static result_type visit(const Tensor& arg, Tensor& out, const size_t count) {
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reference::sign(arg.data<const T>(), out.data<T>(), count);
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return true;
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}
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};
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} // namespace sign
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namespace v0 {
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Sign::Sign(const Output<Node>& arg) : UnaryElementwiseArithmetic(arg) {
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constructor_validate_and_infer_types();
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}
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bool ngraph::op::v0::Sign::visit_attributes(AttributeVisitor& visitor) {
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OV_OP_SCOPE(v0_Sign_visit_attributes);
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return true;
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}
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shared_ptr<Node> op::Sign::clone_with_new_inputs(const OutputVector& new_args) const {
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std::shared_ptr<Node> Sign::clone_with_new_inputs(const OutputVector& new_args) const {
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OV_OP_SCOPE(v0_Sign_clone_with_new_inputs);
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check_new_args_count(this, new_args);
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return make_shared<Sign>(new_args.at(0));
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return std::make_shared<Sign>(new_args.at(0));
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}
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OPENVINO_SUPPRESS_DEPRECATED_START
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namespace signop {
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namespace {
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template <element::Type_t ET>
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inline bool evaluate(const HostTensorPtr& arg0, const HostTensorPtr& out, const size_t count) {
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using T = typename element_type_traits<ET>::value_type;
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ov::reference::sign<T>(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
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return true;
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}
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bool evaluate_sign(const HostTensorPtr& arg0, const HostTensorPtr& out, const size_t count) {
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bool rc = true;
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out->set_unary(arg0);
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switch (arg0->get_element_type()) {
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OPENVINO_TYPE_CASE(evaluate_sign, i32, arg0, out, count);
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OPENVINO_TYPE_CASE(evaluate_sign, i64, arg0, out, count);
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OPENVINO_TYPE_CASE(evaluate_sign, u32, arg0, out, count);
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OPENVINO_TYPE_CASE(evaluate_sign, u64, arg0, out, count);
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OPENVINO_TYPE_CASE(evaluate_sign, f16, arg0, out, count);
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OPENVINO_TYPE_CASE(evaluate_sign, f32, arg0, out, count);
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default:
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rc = false;
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break;
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}
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return rc;
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}
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} // namespace
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} // namespace signop
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bool op::Sign::evaluate(const HostTensorVector& outputs, const HostTensorVector& inputs) const {
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bool Sign::evaluate(TensorVector& outputs, const TensorVector& inputs) const {
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OV_OP_SCOPE(v0_Sign_evaluate);
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OPENVINO_SUPPRESS_DEPRECATED_START
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OPENVINO_ASSERT(validate_host_tensor_vector(outputs, 1) && validate_host_tensor_vector(inputs, 1));
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OPENVINO_SUPPRESS_DEPRECATED_END
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return signop::evaluate_sign(inputs[0], outputs[0], shape_size(inputs[0]->get_shape()));
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OPENVINO_ASSERT(outputs.size() == 1);
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OPENVINO_ASSERT(inputs.size() == 1);
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const auto& in_shape = inputs[0].get_shape();
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outputs[0].set_shape(in_shape);
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using namespace ov::element;
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return IfTypeOf<f16, f32, i32, i64, u32, u64>::apply<sign::Evaluate>(inputs[0].get_element_type(),
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inputs[0],
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outputs[0],
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shape_size(in_shape));
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}
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bool op::Sign::has_evaluate() const {
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bool Sign::has_evaluate() const {
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OV_OP_SCOPE(v0_Sign_has_evaluate);
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switch (get_input_element_type(0)) {
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case ngraph::element::i32:
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case ngraph::element::i64:
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case ngraph::element::u32:
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case ngraph::element::u64:
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case ngraph::element::f16:
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case ngraph::element::f32:
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case element::f16:
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case element::f32:
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case element::i32:
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case element::i64:
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case element::u32:
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case element::u64:
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return true;
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default:
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break;
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return false;
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}
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return false;
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}
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} // namespace v0
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} // namespace op
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} // namespace ov
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