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/*
* 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.
*/
#include "BLI_map.hh"
#include "BLI_multi_value_map.hh"
#include "BLI_set.hh"
#include "BLI_stack.hh"
#include "BLI_timeit.hh"
#include "BLI_vector_set.hh"
#include "FN_field.hh"
#include "FN_multi_function_parallel.hh"
#include "FN_field.hh"
namespace blender::fn {
/* --------------------------------------------------------------------
* Field Evaluation.
*/
struct FieldTreeInfo {
/**
* When fields are built, they only have references to the fields that they depend on. This map
* allows traversal of fields in the opposite direction. So for every field it stores the other
* fields that depend on it directly.
*/
MultiValueMap<GFieldRef, GFieldRef> field_users;
/**
* The same field input may exist in the field tree as as separate nodes due to the way
* the tree is constructed. This set contains every different input only once.
*/
VectorSet<std::reference_wrapper<const FieldInput>> deduplicated_field_inputs;
};
/**
* Collects some information from the field tree that is required by later steps.
*/
static FieldTreeInfo preprocess_field_tree(Span<GFieldRef> entry_fields)
{
FieldTreeInfo field_tree_info;
Stack<GFieldRef> fields_to_check;
Set<GFieldRef> handled_fields;
for (GFieldRef field : entry_fields) {
if (handled_fields.add(field)) {
fields_to_check.push(field);
}
}
while (!fields_to_check.is_empty()) {
GFieldRef field = fields_to_check.pop();
if (field.node().is_input()) {
const FieldInput &field_input = static_cast<const FieldInput &>(field.node());
field_tree_info.deduplicated_field_inputs.add(field_input);
continue;
}
BLI_assert(field.node().is_operation());
const FieldOperation &operation = static_cast<const FieldOperation &>(field.node());
for (const GFieldRef operation_input : operation.inputs()) {
field_tree_info.field_users.add(operation_input, field);
if (handled_fields.add(operation_input)) {
fields_to_check.push(operation_input);
}
}
}
return field_tree_info;
}
/**
* Retrieves the data from the context that is passed as input into the field.
*/
static Vector<const GVArray *> get_field_context_inputs(
ResourceScope &scope,
const IndexMask mask,
const FieldContext &context,
const Span<std::reference_wrapper<const FieldInput>> field_inputs)
{
Vector<const GVArray *> field_context_inputs;
for (const FieldInput &field_input : field_inputs) {
const GVArray *varray = context.get_varray_for_input(field_input, mask, scope);
if (varray == nullptr) {
const CPPType &type = field_input.cpp_type();
varray = &scope.construct<GVArray_For_SingleValueRef>(
__func__, type, mask.min_array_size(), type.default_value());
}
field_context_inputs.append(varray);
}
return field_context_inputs;
}
/**
* \return A set that contains all fields from the field tree that depend on an input that varies
* for different indices.
*/
static Set<GFieldRef> find_varying_fields(const FieldTreeInfo &field_tree_info,
Span<const GVArray *> field_context_inputs)
{
Set<GFieldRef> found_fields;
Stack<GFieldRef> fields_to_check;
/* The varying fields are the ones that depend on inputs that are not constant. Therefore we
* start the tree search at the non-constant input fields and traverse through all fields that
* depend on them. */
for (const int i : field_context_inputs.index_range()) {
const GVArray *varray = field_context_inputs[i];
if (varray->is_single()) {
continue;
}
const FieldInput &field_input = field_tree_info.deduplicated_field_inputs[i];
const GFieldRef field_input_field{field_input, 0};
const Span<GFieldRef> users = field_tree_info.field_users.lookup(field_input_field);
for (const GFieldRef &field : users) {
if (found_fields.add(field)) {
fields_to_check.push(field);
}
}
}
while (!fields_to_check.is_empty()) {
GFieldRef field = fields_to_check.pop();
const Span<GFieldRef> users = field_tree_info.field_users.lookup(field);
for (GFieldRef field : users) {
if (found_fields.add(field)) {
fields_to_check.push(field);
}
}
}
return found_fields;
}
/**
* Builds the #procedure so that it computes the the fields.
*/
static void build_multi_function_procedure_for_fields(MFProcedure &procedure,
ResourceScope &scope,
const FieldTreeInfo &field_tree_info,
Span<GFieldRef> output_fields)
{
MFProcedureBuilder builder{procedure};
/* Every input, intermediate and output field corresponds to a variable in the procedure. */
Map<GFieldRef, MFVariable *> variable_by_field;
/* Start by adding the field inputs as parameters to the procedure. */
for (const FieldInput &field_input : field_tree_info.deduplicated_field_inputs) {
MFVariable &variable = builder.add_input_parameter(
MFDataType::ForSingle(field_input.cpp_type()), field_input.debug_name());
variable_by_field.add_new({field_input, 0}, &variable);
}
/* Utility struct that is used to do proper depth first search traversal of the tree below. */
struct FieldWithIndex {
GFieldRef field;
int current_input_index = 0;
};
for (GFieldRef field : output_fields) {
/* We start a new stack for each output field to make sure that a field pushed later to the
* stack does never depend on a field that was pushed before. */
Stack<FieldWithIndex> fields_to_check;
fields_to_check.push({field, 0});
while (!fields_to_check.is_empty()) {
FieldWithIndex &field_with_index = fields_to_check.peek();
const GFieldRef &field = field_with_index.field;
if (variable_by_field.contains(field)) {
/* The field has been handled already. */
fields_to_check.pop();
continue;
}
/* Field inputs should already be handled above. */
BLI_assert(field.node().is_operation());
const FieldOperation &operation = static_cast<const FieldOperation &>(field.node());
const Span<GField> operation_inputs = operation.inputs();
if (field_with_index.current_input_index < operation_inputs.size()) {
/* Not all inputs are handled yet. Push the next input field to the stack and increment
* the input index. */
fields_to_check.push({operation_inputs[field_with_index.current_input_index]});
field_with_index.current_input_index++;
}
else {
/* All inputs variables are ready, now add the function call. */
Vector<MFVariable *> input_variables;
for (const GField &field : operation_inputs) {
input_variables.append(variable_by_field.lookup(field));
}
const MultiFunction &multi_function = operation.multi_function();
Vector<MFVariable *> output_variables = builder.add_call(multi_function, input_variables);
/* Add newly created variables to the map. */
for (const int i : output_variables.index_range()) {
variable_by_field.add_new({operation, i}, output_variables[i]);
}
}
}
}
/* Add output parameters to the procedure. */
Set<MFVariable *> already_output_variables;
for (const GFieldRef &field : output_fields) {
MFVariable *variable = variable_by_field.lookup(field);
if (!already_output_variables.add(variable)) {
/* One variable can be output at most once. To output the same value twice, we have to make
* a copy first. */
const MultiFunction ©_fn = scope.construct<CustomMF_GenericCopy>(
__func__, "copy", variable->data_type());
variable = builder.add_call<1>(copy_fn, {variable})[0];
}
builder.add_output_parameter(*variable);
}
/* Remove the variables that should not be destructed from the map. */
for (const GFieldRef &field : output_fields) {
variable_by_field.remove(field);
}
/* Add destructor calls for the remaining variables. */
for (MFVariable *variable : variable_by_field.values()) {
builder.add_destruct(*variable);
}
builder.add_return();
// std::cout << procedure.to_dot() << "\n";
BLI_assert(procedure.validate());
}
/**
* Utility class that destructs elements from a partially initialized array.
*/
struct PartiallyInitializedArray : NonCopyable, NonMovable {
void *buffer;
IndexMask mask;
const CPPType *type;
~PartiallyInitializedArray()
{
this->type->destruct_indices(this->buffer, this->mask);
}
};
/**
* Evaluate fields in the given context. If possible, multiple fields should be evaluated
* together, because that can be more efficient when they share common sub-fields.
*
* \param scope: The resource scope that owns data that makes up the output virtual arrays. Make
* sure the scope is not destructed when the output virtual arrays are still used.
* \param fields_to_evaluate: The fields that should be evaluated together.
* \param mask: Determines which indices are computed. The mask may be referenced by the returned
* virtual arrays. So the underlying indices (if applicable) should live longer then #scope.
* \param context: The context that the field is evaluated in. Used to retrieve data from each
* #FieldInput in the field network.
* \param dst_varrays: If provided, the computed data will be written into those virtual arrays
* instead of into newly created ones. That allows making the computed data live longer than
* #scope and is more efficient when the data will be written into those virtual arrays
* later anyway.
* \return The computed virtual arrays for each provided field. If #dst_varrays is passed, the
* provided virtual arrays are returned.
*/
Vector<const GVArray *> evaluate_fields(ResourceScope &scope,
Span<GFieldRef> fields_to_evaluate,
IndexMask mask,
const FieldContext &context,
Span<GVMutableArray *> dst_varrays)
{
SCOPED_TIMER(__func__);
Vector<const GVArray *> r_varrays(fields_to_evaluate.size(), nullptr);
const int array_size = mask.min_array_size();
/* Destination arrays are optional. Create a small utility method to access them. */
auto get_dst_varray_if_available = [&](int index) -> GVMutableArray * {
if (dst_varrays.is_empty()) {
return nullptr;
}
BLI_assert(dst_varrays[index] == nullptr || dst_varrays[index]->size() >= array_size);
return dst_varrays[index];
};
/* Traverse the field tree and prepare some data that is used in later steps. */
FieldTreeInfo field_tree_info = preprocess_field_tree(fields_to_evaluate);
/* Get inputs that will be passed into the field when evaluated. */
Vector<const GVArray *> field_context_inputs = get_field_context_inputs(
scope, mask, context, field_tree_info.deduplicated_field_inputs);
/* Finish fields that output an input varray directly. For those we don't have to do any
* further processing. */
for (const int out_index : fields_to_evaluate.index_range()) {
const GFieldRef &field = fields_to_evaluate[out_index];
if (!field.node().is_input()) {
continue;
}
const FieldInput &field_input = static_cast<const FieldInput &>(field.node());
const int field_input_index = field_tree_info.deduplicated_field_inputs.index_of(field_input);
const GVArray *varray = field_context_inputs[field_input_index];
r_varrays[out_index] = varray;
}
Set<GFieldRef> varying_fields = find_varying_fields(field_tree_info, field_context_inputs);
/* Separate fields into two categories. Those that are constant and need to be evaluated only
* once, and those that need to be evaluated for every index. */
Vector<GFieldRef> varying_fields_to_evaluate;
Vector<int> varying_field_indices;
Vector<GFieldRef> constant_fields_to_evaluate;
Vector<int> constant_field_indices;
for (const int i : fields_to_evaluate.index_range()) {
if (r_varrays[i] != nullptr) {
/* Already done. */
continue;
}
GFieldRef field = fields_to_evaluate[i];
if (varying_fields.contains(field)) {
varying_fields_to_evaluate.append(field);
varying_field_indices.append(i);
}
else {
constant_fields_to_evaluate.append(field);
constant_field_indices.append(i);
}
}
/* Evaluate varying fields if necessary. */
if (!varying_fields_to_evaluate.is_empty()) {
/* Build the procedure for those fields. */
MFProcedure procedure;
build_multi_function_procedure_for_fields(
procedure, scope, field_tree_info, varying_fields_to_evaluate);
MFProcedureExecutor procedure_executor{"Procedure", procedure};
fn::ParallelMultiFunction parallel_fn{procedure_executor, 20000};
const MultiFunction &fn_to_execute = procedure_executor;
MFParamsBuilder mf_params{fn_to_execute, array_size};
MFContextBuilder mf_context;
/* Provide inputs to the procedure executor. */
for (const GVArray *varray : field_context_inputs) {
mf_params.add_readonly_single_input(*varray);
}
for (const int i : varying_fields_to_evaluate.index_range()) {
const GFieldRef &field = varying_fields_to_evaluate[i];
const CPPType &type = field.cpp_type();
const int out_index = varying_field_indices[i];
/* Try to get an existing virtual array that the result should be written into. */
GVMutableArray *output_varray = get_dst_varray_if_available(out_index);
void *buffer;
if (output_varray == nullptr || !output_varray->is_span()) {
/* Allocate a new buffer for the computed result. */
buffer = scope.linear_allocator().allocate(type.size() * array_size, type.alignment());
/* Make sure that elements in the buffer will be destructed. */
PartiallyInitializedArray &destruct_helper = scope.construct<PartiallyInitializedArray>(
__func__);
destruct_helper.buffer = buffer;
destruct_helper.mask = mask;
destruct_helper.type = &type;
r_varrays[out_index] = &scope.construct<GVArray_For_GSpan>(
__func__, GSpan{type, buffer, array_size});
}
else {
/* Write the result into the existing span. */
buffer = output_varray->get_internal_span().data();
r_varrays[out_index] = output_varray;
}
/* Pass output buffer to the procedure executor. */
const GMutableSpan span{type, buffer, array_size};
mf_params.add_uninitialized_single_output(span);
}
fn_to_execute.call(mask, mf_params, mf_context);
}
/* Evaluate constant fields if necessary. */
if (!constant_fields_to_evaluate.is_empty()) {
/* Build the procedure for those fields. */
MFProcedure procedure;
build_multi_function_procedure_for_fields(
procedure, scope, field_tree_info, constant_fields_to_evaluate);
MFProcedureExecutor procedure_executor{"Procedure", procedure};
MFParamsBuilder mf_params{procedure_executor, 1};
MFContextBuilder mf_context;
/* Provide inputs to the procedure executor. */
for (const GVArray *varray : field_context_inputs) {
mf_params.add_readonly_single_input(*varray);
}
for (const int i : constant_fields_to_evaluate.index_range()) {
const GFieldRef &field = constant_fields_to_evaluate[i];
const CPPType &type = field.cpp_type();
/* Allocate memory where the computed value will be stored in. */
void *buffer = scope.linear_allocator().allocate(type.size(), type.alignment());
/* Use this to make sure that the value is destructed in the end. */
PartiallyInitializedArray &destruct_helper = scope.construct<PartiallyInitializedArray>(
__func__);
destruct_helper.buffer = buffer;
destruct_helper.mask = IndexRange(1);
destruct_helper.type = &type;
/* Pass output buffer to the procedure executor. */
mf_params.add_uninitialized_single_output({type, buffer, 1});
/* Create virtual array that can be used after the procedure has been executed below. */
const int out_index = constant_field_indices[i];
r_varrays[out_index] = &scope.construct<GVArray_For_SingleValueRef>(
__func__, type, array_size, buffer);
}
procedure_executor.call(IndexRange(1), mf_params, mf_context);
}
/* Copy data to supplied destination arrays if necessary. In some cases the evaluation above
* has written the computed data in the right place already. */
if (!dst_varrays.is_empty()) {
for (const int out_index : fields_to_evaluate.index_range()) {
GVMutableArray *output_varray = get_dst_varray_if_available(out_index);
if (output_varray == nullptr) {
/* Caller did not provide a destination for this output. */
continue;
}
const GVArray *computed_varray = r_varrays[out_index];
BLI_assert(computed_varray->type() == output_varray->type());
if (output_varray == computed_varray) {
/* The result has been written into the destination provided by the caller already. */
continue;
}
/* Still have to copy over the data in the destination provided by the caller. */
if (output_varray->is_span()) {
/* Materialize into a span. */
computed_varray->materialize_to_uninitialized(output_varray->get_internal_span().data());
}
else {
/* Slower materialize into a different structure. */
const CPPType &type = computed_varray->type();
BUFFER_FOR_CPP_TYPE_VALUE(type, buffer);
for (const int i : mask) {
computed_varray->get_to_uninitialized(i, buffer);
output_varray->set_by_relocate(i, buffer);
}
}
r_varrays[out_index] = output_varray;
}
}
return r_varrays;
}
void evaluate_constant_field(const GField &field, void *r_value)
{
ResourceScope scope;
FieldContext context;
Vector<const GVArray *> varrays = evaluate_fields(scope, {field}, IndexRange(1), context);
varrays[0]->get_to_uninitialized(0, r_value);
}
const GVArray *FieldContext::get_varray_for_input(const FieldInput &field_input,
IndexMask mask,
ResourceScope &scope) const
{
/* By default ask the field input to create the varray. Another field context might overwrite
* the context here. */
return field_input.get_varray_for_context(*this, mask, scope);
}
/* --------------------------------------------------------------------
* FieldEvaluator.
*/
static Vector<int64_t> indices_from_selection(const VArray<bool> &selection)
{
/* If the selection is just a single value, it's best to avoid calling this
* function when constructing an IndexMask and use an IndexRange instead. */
BLI_assert(!selection.is_single());
Vector<int64_t> indices;
if (selection.is_span()) {
Span<bool> span = selection.get_internal_span();
for (const int64_t i : span.index_range()) {
if (span[i]) {
indices.append(i);
}
}
}
else {
for (const int i : selection.index_range()) {
if (selection[i]) {
indices.append(i);
}
}
}
return indices;
}
int FieldEvaluator::add_with_destination(GField field, GVMutableArray &dst)
{
const int field_index = fields_to_evaluate_.append_and_get_index(std::move(field));
dst_varrays_.append(&dst);
output_pointer_infos_.append({});
return field_index;
}
int FieldEvaluator::add_with_destination(GField field, GMutableSpan dst)
{
GVMutableArray &varray = scope_.construct<GVMutableArray_For_GMutableSpan>(__func__, dst);
return this->add_with_destination(std::move(field), varray);
}
int FieldEvaluator::add(GField field, const GVArray **varray_ptr)
{
const int field_index = fields_to_evaluate_.append_and_get_index(std::move(field));
dst_varrays_.append(nullptr);
output_pointer_infos_.append(OutputPointerInfo{
varray_ptr, [](void *dst, const GVArray &varray, ResourceScope &UNUSED(scope)) {
*(const GVArray **)dst = &varray;
}});
return field_index;
}
int FieldEvaluator::add(GField field)
{
const int field_index = fields_to_evaluate_.append_and_get_index(std::move(field));
dst_varrays_.append(nullptr);
output_pointer_infos_.append({});
return field_index;
}
void FieldEvaluator::evaluate()
{
BLI_assert_msg(!is_evaluated_, "Cannot evaluate fields twice.");
Array<GFieldRef> fields(fields_to_evaluate_.size());
for (const int i : fields_to_evaluate_.index_range()) {
fields[i] = fields_to_evaluate_[i];
}
evaluated_varrays_ = evaluate_fields(scope_, fields, mask_, context_, dst_varrays_);
BLI_assert(fields_to_evaluate_.size() == evaluated_varrays_.size());
for (const int i : fields_to_evaluate_.index_range()) {
OutputPointerInfo &info = output_pointer_infos_[i];
if (info.dst != nullptr) {
info.set(info.dst, *evaluated_varrays_[i], scope_);
}
}
is_evaluated_ = true;
}
IndexMask FieldEvaluator::get_evaluated_as_mask(const int field_index)
{
const GVArray &varray = this->get_evaluated(field_index);
GVArray_Typed<bool> typed_varray{varray};
if (typed_varray->is_single()) {
if (typed_varray->get_internal_single()) {
return IndexRange(typed_varray.size());
}
return IndexRange(0);
}
return scope_.add_value(indices_from_selection(*typed_varray), __func__).as_span();
}
} // namespace blender::fn
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