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151 lines
4.3 KiB
C++
151 lines
4.3 KiB
C++
// Copyright © Advanced Micro Devices, Inc., or its affiliates.
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// SPDX-License-Identifier: MIT
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/**
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* @file ReductionAttributes.hpp
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* @brief Attributes for reduction operations
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*
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* This file defines the ReductionAttributes class for configuring reduction
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* operations that reduce a tensor along all dimensions.
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*/
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#pragma once
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#include "Attributes.hpp"
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#include "TensorAttributes.hpp"
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#include <hipdnn_frontend/Types.hpp>
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#include <memory>
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#include <optional>
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#include <unordered_map>
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namespace hipdnn_frontend::graph
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{
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/**
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* @class ReductionAttributes
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* @brief Configuration for reduction operations
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*
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* ReductionAttributes specifies the parameters for reduction operations that
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* reduce an input tensor to a scalar or lower-dimensional tensor.
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*
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* @code{.cpp}
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* // Sum reduction
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* auto y = graph.reduction(x, ReductionAttributes()
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* .set_mode(ReductionMode::ADD));
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*
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* // Absolute maximum reduction
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* auto y = graph.reduction(x, ReductionAttributes()
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* .set_mode(ReductionMode::AMAX)
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* .set_name("amax_op"));
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* @endcode
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*
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* @see Graph::reduction(), ReductionMode
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*/
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class ReductionAttributes : public Attributes<ReductionAttributes>
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{
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public:
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ReductionAttributes() = default;
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/// Input tensor identifiers
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// NOLINTNEXTLINE(readability-identifier-naming)
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enum class input_names
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{
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X = 0, ///< Input tensor
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};
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/// Output tensor identifiers
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// NOLINTNEXTLINE(readability-identifier-naming)
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enum class output_names
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{
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Y = 0, ///< Output tensor
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};
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std::unordered_map<input_names, std::shared_ptr<TensorAttributes>> inputs; ///< Input tensors
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std::unordered_map<output_names, std::shared_ptr<TensorAttributes>> outputs; ///< Output tensors
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// NOLINTBEGIN(readability-identifier-naming)
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std::optional<ReductionMode> mode = std::nullopt; ///< The reduction mode
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bool is_deterministic = false; ///< Whether to use deterministic algorithms
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// NOLINTEND(readability-identifier-naming)
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/// @brief Get the reduction mode
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// NOLINTNEXTLINE(readability-identifier-naming)
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std::optional<ReductionMode> get_mode() const
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{
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return mode;
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}
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/**
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* @brief Set the reduction operation mode
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* @param value The reduction operation to perform (see ReductionMode enum)
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* @return Reference to this for method chaining
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*/
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// NOLINTNEXTLINE(readability-identifier-naming)
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ReductionAttributes& set_mode(ReductionMode value)
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{
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mode = value;
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return *this;
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}
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/// @brief Get whether deterministic algorithms are requested
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// NOLINTNEXTLINE(readability-identifier-naming)
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bool get_is_deterministic() const
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{
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return is_deterministic;
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}
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/**
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* @brief Request deterministic reduction algorithms
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* @param value True to require deterministic behavior
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* @return Reference to this for method chaining
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*/
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// NOLINTNEXTLINE(readability-identifier-naming)
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ReductionAttributes& set_is_deterministic(bool value)
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{
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is_deterministic = value;
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return *this;
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}
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/// @brief Get the input tensor X
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// NOLINTNEXTLINE(readability-identifier-naming)
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std::shared_ptr<TensorAttributes> get_x() const
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{
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return getInput(input_names::X);
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}
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/// @brief Get the output tensor Y
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// NOLINTNEXTLINE(readability-identifier-naming)
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std::shared_ptr<TensorAttributes> get_y() const
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{
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return getOutput(output_names::Y);
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}
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// NOLINTNEXTLINE(readability-identifier-naming)
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ReductionAttributes& set_x(const std::shared_ptr<TensorAttributes>& x)
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{
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return setInput(input_names::X, x);
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}
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// NOLINTNEXTLINE(readability-identifier-naming)
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ReductionAttributes& set_x(std::shared_ptr<TensorAttributes>&& x)
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{
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return setInput(input_names::X, std::move(x));
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}
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// NOLINTNEXTLINE(readability-identifier-naming)
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ReductionAttributes& set_y(const std::shared_ptr<TensorAttributes>& y)
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{
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return setOutput(output_names::Y, y);
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}
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// NOLINTNEXTLINE(readability-identifier-naming)
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ReductionAttributes& set_y(std::shared_ptr<TensorAttributes>&& y)
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{
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return setOutput(output_names::Y, std::move(y));
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}
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};
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typedef ReductionAttributes Reduction_attributes; // NOLINT(readability-identifier-naming)
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} // namespace hipdnn_frontend::graph
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