The multi-function network system was able to compose multiple multi-functions into a new one and to evaluate that efficiently. This functionality was heavily used by the particle nodes prototype a year ago. However, since then we only used multi-functions without the need to compose them in geometry nodes. The upcoming "fields" in geometry nodes will need a way to compose multi-functions again. Unfortunately, the code removed in this commit was not ideal for this different kind of function composition. I've been working on an alternative that will be added separately when it becomes needed. I've had to update all the function nodes, because their interface depended on the multi-function network data structure a bit. The actual multi-function implementations are still the same though.
189 lines
5.2 KiB
C++
189 lines
5.2 KiB
C++
/*
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* This program is free software; you can redistribute it and/or
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* modify it under the terms of the GNU General Public License
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* as published by the Free Software Foundation; either version 2
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* of the License, or (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program; if not, write to the Free Software Foundation,
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* Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
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*/
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#pragma once
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/** \file
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* \ingroup fn
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*
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* The signature of a multi-function contains the functions name and expected parameters. New
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* signatures should be build using the #MFSignatureBuilder class.
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*/
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#include "FN_multi_function_param_type.hh"
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#include "BLI_vector.hh"
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namespace blender::fn {
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struct MFSignature {
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std::string function_name;
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Vector<std::string> param_names;
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Vector<MFParamType> param_types;
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Vector<int> param_data_indices;
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bool depends_on_context = false;
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int data_index(int param_index) const
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{
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return param_data_indices[param_index];
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}
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};
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class MFSignatureBuilder {
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private:
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MFSignature signature_;
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int span_count_ = 0;
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int virtual_array_count_ = 0;
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int virtual_vector_array_count_ = 0;
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int vector_array_count_ = 0;
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public:
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MFSignatureBuilder(std::string function_name)
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{
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signature_.function_name = std::move(function_name);
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}
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MFSignature build() const
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{
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return std::move(signature_);
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}
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/* Input Parameter Types */
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template<typename T> void single_input(StringRef name)
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{
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this->single_input(name, CPPType::get<T>());
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}
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void single_input(StringRef name, const CPPType &type)
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{
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this->input(name, MFDataType::ForSingle(type));
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}
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template<typename T> void vector_input(StringRef name)
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{
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this->vector_input(name, CPPType::get<T>());
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}
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void vector_input(StringRef name, const CPPType &base_type)
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{
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this->input(name, MFDataType::ForVector(base_type));
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}
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void input(StringRef name, MFDataType data_type)
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{
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signature_.param_names.append(name);
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signature_.param_types.append(MFParamType(MFParamType::Input, data_type));
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switch (data_type.category()) {
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case MFDataType::Single:
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signature_.param_data_indices.append(virtual_array_count_++);
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break;
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case MFDataType::Vector:
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signature_.param_data_indices.append(virtual_vector_array_count_++);
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break;
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}
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}
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/* Output Parameter Types */
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template<typename T> void single_output(StringRef name)
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{
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this->single_output(name, CPPType::get<T>());
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}
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void single_output(StringRef name, const CPPType &type)
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{
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this->output(name, MFDataType::ForSingle(type));
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}
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template<typename T> void vector_output(StringRef name)
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{
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this->vector_output(name, CPPType::get<T>());
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}
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void vector_output(StringRef name, const CPPType &base_type)
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{
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this->output(name, MFDataType::ForVector(base_type));
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}
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void output(StringRef name, MFDataType data_type)
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{
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signature_.param_names.append(name);
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signature_.param_types.append(MFParamType(MFParamType::Output, data_type));
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switch (data_type.category()) {
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case MFDataType::Single:
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signature_.param_data_indices.append(span_count_++);
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break;
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case MFDataType::Vector:
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signature_.param_data_indices.append(vector_array_count_++);
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break;
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}
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}
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/* Mutable Parameter Types */
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template<typename T> void single_mutable(StringRef name)
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{
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this->single_mutable(name, CPPType::get<T>());
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}
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void single_mutable(StringRef name, const CPPType &type)
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{
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this->mutable_(name, MFDataType::ForSingle(type));
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}
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template<typename T> void vector_mutable(StringRef name)
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{
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this->vector_mutable(name, CPPType::get<T>());
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}
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void vector_mutable(StringRef name, const CPPType &base_type)
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{
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this->mutable_(name, MFDataType::ForVector(base_type));
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}
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void mutable_(StringRef name, MFDataType data_type)
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{
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signature_.param_names.append(name);
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signature_.param_types.append(MFParamType(MFParamType::Mutable, data_type));
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switch (data_type.category()) {
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case MFDataType::Single:
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signature_.param_data_indices.append(span_count_++);
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break;
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case MFDataType::Vector:
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signature_.param_data_indices.append(vector_array_count_++);
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break;
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}
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}
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void add(StringRef name, const MFParamType ¶m_type)
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{
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switch (param_type.interface_type()) {
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case MFParamType::Input:
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this->input(name, param_type.data_type());
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break;
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case MFParamType::Mutable:
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this->mutable_(name, param_type.data_type());
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break;
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case MFParamType::Output:
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this->output(name, param_type.data_type());
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break;
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}
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}
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/* Context */
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/** This indicates that the function accesses the context. This disables optimizations that
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* depend on the fact that the function always performers the same operation. */
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void depends_on_context()
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{
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signature_.depends_on_context = true;
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}
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};
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} // namespace blender::fn
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