Functions: add dead node removal and constant folding optimization

Those optimizations work on the multi-function network level.
Not only will they make the network evaluation faster, but they also
simplify the network a lot. That makes it easier to understand the
exported dot graph.
This commit is contained in:
Jacques Lucke 2020-07-08 11:18:43 +02:00
parent 50d7c00d9c
commit 45004d82e0
3 changed files with 328 additions and 0 deletions

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@ -33,6 +33,7 @@ set(SRC
intern/multi_function_builder.cc
intern/multi_function_network.cc
intern/multi_function_network_evaluation.cc
intern/multi_function_network_optimization.cc
FN_array_spans.hh
FN_attributes_ref.hh
@ -44,6 +45,7 @@ set(SRC
FN_multi_function_data_type.hh
FN_multi_function_network.hh
FN_multi_function_network_evaluation.hh
FN_multi_function_network_optimization.hh
FN_multi_function_param_type.hh
FN_multi_function_params.hh
FN_multi_function_signature.hh

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@ -0,0 +1,31 @@
/*
* This program is free software; you can redistribute it and/or
* modify it under the terms of the GNU General Public License
* as published by the Free Software Foundation; either version 2
* of the License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software Foundation,
* Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*/
#ifndef __FN_MULTI_FUNCTION_NETWORK_OPTIMIZATION_HH__
#define __FN_MULTI_FUNCTION_NETWORK_OPTIMIZATION_HH__
#include "FN_multi_function_network.hh"
#include "BLI_resource_collector.hh"
namespace blender::fn::mf_network_optimization {
void dead_node_removal(MFNetwork &network);
void constant_folding(MFNetwork &network, ResourceCollector &resources);
} // namespace blender::fn::mf_network_optimization
#endif /* __FN_MULTI_FUNCTION_NETWORK_OPTIMIZATION_HH__ */

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@ -0,0 +1,295 @@
/*
* This program is free software; you can redistribute it and/or
* modify it under the terms of the GNU General Public License
* as published by the Free Software Foundation; either version 2
* of the License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software Foundation,
* Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*/
/** \file
* \ingroup fn
*/
#include "FN_multi_function_builder.hh"
#include "FN_multi_function_network_evaluation.hh"
#include "FN_multi_function_network_optimization.hh"
#include "BLI_stack.hh"
namespace blender::fn::mf_network_optimization {
/* -------------------------------------------------------------------- */
/** \name Utility functions to find nodes in a network.
*
* \{ */
static bool set_tag_and_check_if_modified(bool &tag, bool new_value)
{
if (tag != new_value) {
tag = new_value;
return true;
}
else {
return false;
}
}
static Array<bool> mask_nodes_to_the_left(MFNetwork &network, Span<MFNode *> nodes)
{
Array<bool> is_to_the_left(network.node_id_amount(), false);
Stack<MFNode *> nodes_to_check;
for (MFNode *node : nodes) {
is_to_the_left[node->id()] = true;
nodes_to_check.push(node);
}
while (!nodes_to_check.is_empty()) {
MFNode &node = *nodes_to_check.pop();
for (MFInputSocket *input_socket : node.inputs()) {
MFOutputSocket *origin = input_socket->origin();
if (origin != nullptr) {
MFNode &origin_node = origin->node();
if (set_tag_and_check_if_modified(is_to_the_left[origin_node.id()], true)) {
nodes_to_check.push(&origin_node);
}
}
}
}
return is_to_the_left;
}
static Array<bool> mask_nodes_to_the_right(MFNetwork &network, Span<MFNode *> nodes)
{
Array<bool> is_to_the_right(network.node_id_amount(), false);
Stack<MFNode *> nodes_to_check;
for (MFNode *node : nodes) {
is_to_the_right[node->id()] = true;
nodes_to_check.push(node);
}
while (!nodes_to_check.is_empty()) {
MFNode &node = *nodes_to_check.pop();
for (MFOutputSocket *output_socket : node.outputs()) {
for (MFInputSocket *target_socket : output_socket->targets()) {
MFNode &target_node = target_socket->node();
if (set_tag_and_check_if_modified(is_to_the_right[target_node.id()], true)) {
nodes_to_check.push(&target_node);
}
}
}
}
return is_to_the_right;
}
static Vector<MFNode *> find_nodes_based_on_mask(MFNetwork &network,
Span<bool> id_mask,
bool mask_value)
{
Vector<MFNode *> nodes;
for (uint id : id_mask.index_range()) {
if (id_mask[id] == mask_value) {
MFNode *node = network.node_or_null_by_id(id);
if (node != nullptr) {
nodes.append(node);
}
}
}
return nodes;
}
/** \} */
/* -------------------------------------------------------------------- */
/** \name Dead Node Removal
*
* \{ */
/**
* Unused nodes are all those nodes that no dummy node depends upon.
*/
void dead_node_removal(MFNetwork &network)
{
Array<bool> node_is_used_mask = mask_nodes_to_the_left(network, network.dummy_nodes());
Vector<MFNode *> nodes_to_remove = find_nodes_based_on_mask(network, node_is_used_mask, false);
network.remove(nodes_to_remove);
}
/** \} */
/* -------------------------------------------------------------------- */
/** \name Constant Folding
*
* \{ */
static bool output_has_non_constant_target_node(MFOutputSocket *output_socket,
Span<bool> is_not_constant_mask)
{
for (MFInputSocket *target_socket : output_socket->targets()) {
MFNode &target_node = target_socket->node();
bool target_is_not_constant = is_not_constant_mask[target_node.id()];
if (target_is_not_constant) {
return true;
}
}
return false;
}
static MFInputSocket *try_find_dummy_target_socket(MFOutputSocket *output_socket)
{
for (MFInputSocket *target_socket : output_socket->targets()) {
if (target_socket->node().is_dummy()) {
return target_socket;
}
}
return nullptr;
}
static Vector<MFInputSocket *> find_constant_inputs_to_fold(
MFNetwork &network, Vector<MFDummyNode *> &r_temporary_nodes)
{
Span<MFNode *> non_constant_nodes = network.dummy_nodes();
Array<bool> is_not_constant_mask = mask_nodes_to_the_right(network, non_constant_nodes);
Vector<MFNode *> constant_nodes = find_nodes_based_on_mask(network, is_not_constant_mask, false);
Vector<MFInputSocket *> sockets_to_compute;
for (MFNode *node : constant_nodes) {
if (node->inputs().size() == 0) {
continue;
}
for (MFOutputSocket *output_socket : node->outputs()) {
MFDataType data_type = output_socket->data_type();
if (output_has_non_constant_target_node(output_socket, is_not_constant_mask)) {
MFInputSocket *dummy_target = try_find_dummy_target_socket(output_socket);
if (dummy_target == nullptr) {
dummy_target = &network.add_output("Dummy", data_type);
network.add_link(*output_socket, *dummy_target);
r_temporary_nodes.append(&dummy_target->node().as_dummy());
}
sockets_to_compute.append(dummy_target);
}
}
}
return sockets_to_compute;
}
static void prepare_params_for_constant_folding(const MultiFunction &network_fn,
MFParamsBuilder &params,
ResourceCollector &resources)
{
for (uint param_index : network_fn.param_indices()) {
MFParamType param_type = network_fn.param_type(param_index);
MFDataType data_type = param_type.data_type();
switch (data_type.category()) {
case MFDataType::Single: {
/* Allocates memory for a single constant folded value. */
const CPPType &cpp_type = data_type.single_type();
void *buffer = resources.linear_allocator().allocate(cpp_type.size(),
cpp_type.alignment());
GMutableSpan array{cpp_type, buffer, 1};
params.add_uninitialized_single_output(array);
break;
}
case MFDataType::Vector: {
/* Allocates memory for a constant folded vector. */
const CPPType &cpp_type = data_type.vector_base_type();
GVectorArray &vector_array = resources.construct<GVectorArray>(AT, cpp_type, 1);
params.add_vector_output(vector_array);
break;
}
}
}
}
static Array<MFOutputSocket *> add_constant_folded_sockets(const MultiFunction &network_fn,
MFParamsBuilder &params,
ResourceCollector &resources,
MFNetwork &network)
{
Array<MFOutputSocket *> folded_sockets{network_fn.param_indices().size(), nullptr};
for (uint param_index : network_fn.param_indices()) {
MFParamType param_type = network_fn.param_type(param_index);
MFDataType data_type = param_type.data_type();
const MultiFunction *constant_fn = nullptr;
switch (data_type.category()) {
case MFDataType::Single: {
const CPPType &cpp_type = data_type.single_type();
GMutableSpan array = params.computed_array(param_index);
void *buffer = array.buffer();
resources.add(buffer, array.type().destruct_cb(), AT);
constant_fn = &resources.construct<CustomMF_GenericConstant>(AT, cpp_type, buffer);
break;
}
case MFDataType::Vector: {
GVectorArray &vector_array = params.computed_vector_array(param_index);
GSpan array = vector_array[0];
constant_fn = &resources.construct<CustomMF_GenericConstantArray>(AT, array);
break;
}
}
MFFunctionNode &folded_node = network.add_function(*constant_fn);
folded_sockets[param_index] = &folded_node.output(0);
}
return folded_sockets;
}
static Array<MFOutputSocket *> compute_constant_sockets_and_add_folded_nodes(
MFNetwork &network,
Span<const MFInputSocket *> sockets_to_compute,
ResourceCollector &resources)
{
MFNetworkEvaluator network_fn{{}, sockets_to_compute};
MFContextBuilder context;
MFParamsBuilder params{network_fn, 1};
prepare_params_for_constant_folding(network_fn, params, resources);
network_fn.call({0}, params, context);
return add_constant_folded_sockets(network_fn, params, resources, network);
}
/**
* Find function nodes that always output the same value and replace those with constant nodes.
*/
void constant_folding(MFNetwork &network, ResourceCollector &resources)
{
Vector<MFDummyNode *> temporary_nodes;
Vector<MFInputSocket *> inputs_to_fold = find_constant_inputs_to_fold(network, temporary_nodes);
if (inputs_to_fold.size() == 0) {
return;
}
Array<MFOutputSocket *> folded_sockets = compute_constant_sockets_and_add_folded_nodes(
network, inputs_to_fold.as_span(), resources);
for (uint i : inputs_to_fold.index_range()) {
MFOutputSocket &original_socket = *inputs_to_fold[i]->origin();
network.relink(original_socket, *folded_sockets[i]);
}
network.remove(temporary_nodes.as_span());
}
/** \} */
} // namespace blender::fn::mf_network_optimization