87 lines
2.3 KiB
C++
87 lines
2.3 KiB
C++
// Copyright (C) 2018-2025 Intel Corporation
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// SPDX-License-Identifier: Apache-2.0
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//
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#pragma once
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#include "openvino/op/op.hpp"
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namespace ov {
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namespace op {
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namespace v1 {
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/// \brief Softmax operation.
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///
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/// \ingroup ov_ops_cpp_api
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class OPENVINO_API Softmax : public Op {
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public:
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OPENVINO_OP("Softmax", "opset1", op::Op);
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Softmax() = default;
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/// \brief Constructs a softmax operation.
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///
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/// \param arg Node that produces the first input tensor.<br>
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/// `[d0, ...]`
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/// \param axis The axis position (0-based) on which to calculate the softmax.
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///
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/// Output `[d0, ...]`
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///
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Softmax(const Output<Node>& arg, const size_t axis = 1);
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bool visit_attributes(AttributeVisitor& visitor) override;
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void validate_and_infer_types() override;
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std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
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size_t get_axis() const {
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return m_axis;
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}
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void set_axis(const size_t axis) {
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m_axis = axis;
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}
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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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private:
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size_t m_axis{0};
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};
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} // namespace v1
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namespace v8 {
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/// \brief Softmax operation with negative axis values
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/// \ingroup ov_ops_cpp_api
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class OPENVINO_API Softmax : public Op {
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public:
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OPENVINO_OP("Softmax", "opset8");
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Softmax() = default;
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/// \brief Constructs a softmax operation.
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///
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/// \param arg Node that produces the first input tensor.<br>
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/// `[d0, ...]`
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/// \param axis The axis position (0-based) in range [-rank(arg), rank(arg) - 1] on which to calculate the softmax.
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///
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/// Output `[d0, ...]`
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///
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Softmax(const Output<Node>& arg, const int64_t axis = 1);
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bool visit_attributes(AttributeVisitor& visitor) override;
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void validate_and_infer_types() override;
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std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
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const int64_t& get_axis() const {
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return m_axis;
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}
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void set_axis(const int64_t& axis) {
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m_axis = axis;
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}
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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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private:
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int64_t m_axis{1};
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};
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} // namespace v8
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} // namespace op
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} // namespace ov
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