[core]Migrate Negative operator to new API (#20609)

* Migrate Negative operator to new API

* Remove `visit_attributes` is same as base

* Use std::negate instead of lambda

---------

Co-authored-by: Michal Lukaszewski <michal.lukaszewski@intel.com>

src/core/include/openvino/op/negative.hpp

@@ -21,11 +21,8 @@ public:
     /// \param arg Node that produces the input tensor.
     Negative(const Output<Node>& arg);
 
-    bool visit_attributes(AttributeVisitor& visitor) override;
     std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
-    OPENVINO_SUPPRESS_DEPRECATED_START
-    bool evaluate(const HostTensorVector& outputs, const HostTensorVector& inputs) const override;
-    OPENVINO_SUPPRESS_DEPRECATED_END
+    bool evaluate(TensorVector& outputs, const TensorVector& inputs) const override;
     bool has_evaluate() const override;
 };
 }  // namespace v0

src/core/reference/include/openvino/reference/negate.hpp

@@ -4,15 +4,22 @@
 
 #pragma once
 
-#include <cstddef>
+#include <algorithm>
+#include <functional>
 
 namespace ov {
 namespace reference {
+
+/**
+ * @brief Reference implementation of Negative operator.
+ *
+ * @param arg    Pointer to input data.
+ * @param out    Pointer to output data.
+ * @param count  Number of elements in input buffer.
+ */
 template <typename T>
-void negate(const T* arg, T* out, size_t count) {
-    for (size_t i = 0; i < count; i++) {
-        out[i] = -arg[i];
-    }
+void negate(const T* arg, T* out, const size_t count) {
+    std::transform(arg, std::next(arg, count), out, std::negate<T>());
 }
 }  // namespace reference
 }  // namespace ov

src/core/src/op/negative.cpp

@@ -2,83 +2,65 @@
 // SPDX-License-Identifier: Apache-2.0
 //
 
-#include "ngraph/op/negative.hpp"
+#include "openvino/op/negative.hpp"
 
+#include "element_visitor.hpp"
 #include "itt.hpp"
-#include "ngraph/runtime/host_tensor.hpp"
-#include "ngraph/validation_util.hpp"
+#include "openvino/core/validation_util.hpp"
 #include "openvino/reference/negate.hpp"
 
-using namespace std;
-using namespace ngraph;
+namespace ov {
+namespace op {
+namespace negative {
+struct Evaluate : element::NoAction<bool> {
+    using element::NoAction<bool>::visit;
 
-op::Negative::Negative(const Output<Node>& arg) : UnaryElementwiseArithmetic(arg) {
+    template <element::Type_t ET, class T = fundamental_type_for<ET>>
+    static result_type visit(const Tensor& arg0, Tensor& out, const size_t count) {
+        reference::negate(arg0.data<const T>(), out.data<T>(), count);
+        return true;
+    }
+};
+}  // namespace negative
+
+namespace v0 {
+
+Negative::Negative(const Output<Node>& arg) : UnaryElementwiseArithmetic(arg) {
     constructor_validate_and_infer_types();
 }
 
-bool ngraph::op::v0::Negative::visit_attributes(AttributeVisitor& visitor) {
-    OV_OP_SCOPE(v0_Negative_visit_attributes);
-    return true;
-}
-
-shared_ptr<Node> op::Negative::clone_with_new_inputs(const OutputVector& new_args) const {
+std::shared_ptr<Node> Negative::clone_with_new_inputs(const OutputVector& new_args) const {
     OV_OP_SCOPE(v0_Negative_clone_with_new_inputs);
     check_new_args_count(this, new_args);
-    return make_shared<Negative>(new_args.at(0));
+    return std::make_shared<Negative>(new_args.at(0));
 }
 
-OPENVINO_SUPPRESS_DEPRECATED_START
-namespace negativeop {
-namespace {
-template <element::Type_t ET>
-inline bool evaluate(const HostTensorPtr& arg0, const HostTensorPtr& out, const size_t count) {
-    using T = typename element_type_traits<ET>::value_type;
-    ov::reference::negate<T>(arg0->get_data_ptr<ET>(), out->get_data_ptr<ET>(), count);
-    return true;
-}
-
-bool evaluate_negative(const HostTensorPtr& arg0, const HostTensorPtr& out, const size_t count) {
-    bool rc = true;
-    out->set_unary(arg0);
-
-    switch (arg0->get_element_type()) {
-        OPENVINO_TYPE_CASE(evaluate_negative, i32, arg0, out, count);
-        OPENVINO_TYPE_CASE(evaluate_negative, i64, arg0, out, count);
-        OPENVINO_TYPE_CASE(evaluate_negative, bf16, arg0, out, count);
-        OPENVINO_TYPE_CASE(evaluate_negative, f16, arg0, out, count);
-        OPENVINO_TYPE_CASE(evaluate_negative, f32, arg0, out, count);
-    default:
-        rc = false;
-        break;
-    }
-    return rc;
-}
-}  // namespace
-}  // namespace negativeop
-
-bool op::Negative::evaluate(const HostTensorVector& outputs, const HostTensorVector& inputs) const {
+bool Negative::evaluate(TensorVector& outputs, const TensorVector& inputs) const {
     OV_OP_SCOPE(v0_Negative_evaluate);
-    OPENVINO_SUPPRESS_DEPRECATED_START
-    OPENVINO_ASSERT(validate_host_tensor_vector(inputs, 1));
-    OPENVINO_ASSERT(validate_host_tensor_vector(outputs, 1));
-    OPENVINO_SUPPRESS_DEPRECATED_END
-    return negativeop::evaluate_negative(inputs[0], outputs[0], shape_size(inputs[0]->get_shape()));
+    OPENVINO_ASSERT(outputs.size() == 1);
+    OPENVINO_ASSERT(inputs.size() == 1);
+
+    outputs[0].set_shape(inputs[0].get_shape());
+    using namespace ov::element;
+    return IfTypeOf<bf16, f16, f32, i32, i64>::apply<negative::Evaluate>(inputs[0].get_element_type(),
+                                                                         inputs[0],
+                                                                         outputs[0],
+                                                                         shape_size(inputs[0].get_shape()));
 }
 
-bool op::Negative::has_evaluate() const {
+bool Negative::has_evaluate() const {
     OV_OP_SCOPE(v0_Negative_has_evaluate);
     switch (get_input_element_type(0)) {
-    case ngraph::element::i32:
-    case ngraph::element::i64:
-    case ngraph::element::f16:
-    case ngraph::element::f32:
+    case element::bf16:
+    case element::f16:
+    case element::f32:
+    case element::i32:
+    case element::i64:
         return true;
     default:
-        break;
+        return false;
     }
-    return false;
-}
-
-shared_ptr<Node> ngraph::operator-(const Output<Node>& arg0) {
-    return make_shared<op::Negative>(arg0);
 }
+}  // namespace v0
+}  // namespace op
+}  // namespace ov

src/core/src/validation_util.cpp

@@ -10,6 +10,7 @@
 #include "bound_evaluate.hpp"
 #include "compare.hpp"
 #include "ngraph/evaluator.hpp"
+#include "ngraph/op/negative.hpp"
 #include "openvino/core/dimension_tracker.hpp"
 #include "openvino/op/concat.hpp"
 #include "openvino/op/gather.hpp"
@@ -979,6 +980,9 @@ bool validate_host_tensor_vector(const HostTensorVector& tensor_vector, const si
            std::none_of(tensor_vector.cbegin(), tensor_vector.cend(), ov::cmp::Equal<HostTensorPtr>(nullptr));
 }
 
+std::shared_ptr<Node> operator-(const Output<Node>& arg0) {
+    return std::make_shared<op::Negative>(arg0);
+}
 }  // namespace ngraph
 
 void ov::infer_auto_padding(const Shape& image_shape,