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#include <ATen/core/jit_type.h>
#include <torch/csrc/jit/ir/alias_analysis.h>
#include <torch/csrc/jit/ir/ir_views.h>
#include <torch/csrc/jit/jit_log.h>
#include <torch/csrc/jit/passes/dead_code_elimination.h>
#include <torch/csrc/jit/passes/peephole.h>
#include <torch/csrc/jit/passes/peephole_list_idioms.h>
#include <torch/csrc/jit/passes/value_refinement_utils.h>
#include <torch/csrc/jit/runtime/graph_executor.h>
#include <torch/csrc/jit/runtime/slice_indices_adjust.h>
#include <torch/csrc/utils/memory.h>
#include <limits>
namespace torch {
namespace jit {
c10::optional<size_t> normalizeIndex(int64_t index, size_t len) {
if (index < 0) {
index = index + len;
}
if (index >= 0 && index < static_cast<int64_t>(len)) {
return index;
} else {
return c10::nullopt;
}
}
// see [value refinement algorithm]
struct ListLenRefiner {
ListLenRefiner(
std::shared_ptr<Graph> graph,
std::unordered_set<Value*>& mutated_lists)
: graph_(std::move(graph)), mutated_lists_(mutated_lists) {}
bool run() {
std::unordered_set<Value*> li_with_len_use;
collectListsToRefine(graph_->block(), li_with_len_use);
if (lists_to_refine_.size() == 0) {
return false;
}
ListRefinement refinements;
RefineListLens(graph_->block(), refinements);
return changed_;
}
// we only need to analyze lists that have multiple uses of len(), and we can
// only analyze lists that are not mutated
void collectListsToRefine(
Block* b,
std::unordered_set<Value*>& li_with_len_use) {
for (Node* n : b->nodes()) {
for (Block* block : n->blocks()) {
collectListsToRefine(block, li_with_len_use);
}
if (n->kind() != aten::len) {
continue;
}
auto first_input = n->input(0);
if (first_input->type()->castRaw<ListType>() &&
!mutated_lists_.count(first_input)) {
if (!li_with_len_use.count(first_input)) {
li_with_len_use.insert(first_input);
} else {
lists_to_refine_.insert(first_input);
}
}
}
}
ListRefinement RefineListLens(Block* b, ListRefinement block_refinements) {
active_refinements_.push_back(&block_refinements);
for (Node* n : b->nodes()) {
if (n->matches("aten::eq(int a, int b) -> bool") ||
n->matches("aten::ne(int a, int b) -> bool")) {
// check for one input constant and the other coming from len(li)
for (size_t const_index : {0, 1}) {
auto ival = constant_as<int64_t>(n->input(const_index));
if (!ival) {
continue;
}
auto li_len = n->input(1 - const_index);
if (!li_len->node()->matches("aten::len.t(t[] a) -> int") ||
!lists_to_refine_.count(li_len->node()->input())) {
continue;
}
ListRefinement refine;
refine[li_len->node()->input()] = *ival;
boolean_value_refinements_[n->output()] = n->kind() == aten::eq
? BooleanRefinementMapping::TrueRefinements(std::move(refine))
: BooleanRefinementMapping::FalseRefinements(std::move(refine));
}
} else if (n->kind() == aten::len) {
if (auto maybe_len = tryFindRefinement(n->input(0))) {
changed_ = true;
WithInsertPoint guard(n);
n->output()->replaceAllUsesWith(
graph_->insertConstant(static_cast<int64_t>(*maybe_len)));
}
} else if (n->kind() == prim::If) {
IfView if_n(n);
bool has_cond_ref = boolean_value_refinements_.count(if_n.cond()) != 0;
ListRefinement empty;
auto true_block_refinements = RefineListLens(
if_n.thenBlock(),
has_cond_ref ? boolean_value_refinements_[if_n.cond()].true_refine()
: empty);
auto false_block_refinements = RefineListLens(
if_n.elseBlock(),
has_cond_ref
? boolean_value_refinements_[if_n.cond()].false_refine()
: empty);
joinIfRefinements(
n,
throwing_blocks_,
block_refinements,
true_block_refinements,
false_block_refinements,
boolean_value_refinements_);
} else {
handleCommonRefinentOperators(
n, throwing_blocks_, boolean_value_refinements_);
}
}
active_refinements_.pop_back();
return block_refinements;
};
c10::optional<int64_t> tryFindRefinement(Value* v) {
for (const auto& ref : active_refinements_) {
auto maybe_refinement = ref->find(v);
if (maybe_refinement != ref->end()) {
return maybe_refinement->second;
}
}
return c10::nullopt;
}
std::shared_ptr<Graph> graph_;
std::unordered_set<Value*> mutated_lists_;
// candidate lists for optimizations
std::unordered_set<Value*> lists_to_refine_;
// A stack of active refinements, one for each block
std::vector<ListRefinement*> active_refinements_;
// A map from Boolean Value * -> associated refinements
std::unordered_map<Value*, BooleanRefinementMapping>
boolean_value_refinements_;
std::unordered_set<Block*> throwing_blocks_;
bool changed_ = false;
};
// This pass only does optimizations on lists which aren't mutated,
// so we first use the Alias Db to collect the set of list values
// which we shouldn't optimize.
struct PeepholeOptimizeListIdiomsImpl {
PeepholeOptimizeListIdiomsImpl(
std::shared_ptr<Graph> graph,
bool refine_list_len)
: graph_(std::move(graph)),
aliasDb_(torch::make_unique<AliasDb>(graph_)),
refine_list_len_(refine_list_len) {}
bool run() {
collectMutatedLists(graph_->block());
bool changed = runBlock(graph_->block());
if (refine_list_len_) {
changed |= ListLenRefiner(graph_, mutated_lists_).run();
}
return changed;
}
private:
void checkForMutatedList(Value* v) {
if (v->type()->castRaw<ListType>() && aliasDb_->hasWriters(v)) {
mutated_lists_.insert(v);
}
}
void collectMutatedLists(Block* b) {
for (Value* v : b->inputs()) {
checkForMutatedList(v);
}
for (Node* n : b->nodes()) {
for (Value* v : n->outputs()) {
checkForMutatedList(v);
}
for (Block* block : n->blocks()) {
collectMutatedLists(block);
}
}
}
bool optimizeSlice(Node* slice_node, Node* list_construct_node) {
auto start_val = toIValue(slice_node->input(1));
auto end_val = toIValue(slice_node->input(2));
auto step_val = toIValue(slice_node->input(3));
// All args must be constant to apply this optimization.
if (start_val == c10::nullopt || end_val == c10::nullopt ||
step_val == c10::nullopt) {
return false;
}
int64_t start = start_val->isInt() ? start_val->to<int64_t>()
: std::numeric_limits<int64_t>::max();
int64_t end = end_val->isInt() ? end_val->to<int64_t>()
: std::numeric_limits<int64_t>::max();
int64_t step = step_val->isInt() ? step_val->to<int64_t>() : 1;
size_t list_size = list_construct_node->inputs().size();
size_t num_values = slice_indices_adjust(list_size, &start, &end, step);
WithInsertPoint guard(slice_node);
auto slice_list_construct =
graph_->insertNode(graph_->create(prim::ListConstruct));
slice_list_construct->output()->setType(slice_node->output()->type());
for (size_t i = start, j = 0; j < num_values; ++j) {
slice_list_construct->addInput(list_construct_node->input(i));
i += step;
}
slice_node->output()->replaceAllUsesWith(slice_list_construct->output());
if (mutated_lists_.count(slice_node->output())) {
mutated_lists_.insert(slice_list_construct->output());
}
return true;
}
bool runBlock(Block* block) {
bool changed = false;
for (Node* node : block->nodes()) {
for (Block* b : node->blocks()) {
changed |= runBlock(b);
}
// only optimizing list ops
if (node->inputs().size() == 0 ||
!node->input(0)->type()->castRaw<ListType>()) {
continue;
}
auto first_input = node->input(0);
// only optimizing ops with unmutated lists
if (mutated_lists_.count(first_input)) {
continue;
}
auto list_creation_node = first_input->node();
if (list_creation_node->kind() != prim::ListConstruct) {
continue;
}
if (node->kind() == aten::len) {
WithInsertPoint guard(node);
node->output()->replaceAllUsesWith(graph_->insertConstant(
static_cast<int64_t>(first_input->node()->inputs().size())));
changed = true;
} else if (node->kind() == aten::__getitem__) {
if (auto index = toIValue(node->input(1))) {
size_t list_size = list_creation_node->inputs().size();
if (auto norm_index = normalizeIndex(index->toInt(), list_size)) {
node->output()->replaceAllUsesWith(
list_creation_node->input(*norm_index));
changed = true;
}
}
} else if (node->kind() == prim::ListUnpack) {
// if sizes are unequal it's a runtime error
if (list_creation_node->inputs().size() != node->outputs().size()) {
continue;
}
for (size_t i = 0; i < node->outputs().size(); ++i) {
node->output(i)->replaceAllUsesWith(list_creation_node->input(i));
changed = true;
}
} else if (node->kind() == aten::add) {
if (node->inputs().size() != 2) {
continue;
}
auto second_input = node->input(1);
// already checked first, need to check second
if (mutated_lists_.count(second_input)) {
continue;
}
if (second_input->node()->kind() != prim::ListConstruct) {
continue;
}
WithInsertPoint guard(node);
auto list_construct =
graph_->insertNode(graph_->create(prim::ListConstruct));
list_construct->output()->setType(node->output()->type());
for (Value* v : first_input->node()->inputs()) {
list_construct->addInput(v);
}
for (Value* v : second_input->node()->inputs()) {
list_construct->addInput(v);
}
node->output()->replaceAllUsesWith(list_construct->output());
if (mutated_lists_.count(node->output())) {
mutated_lists_.insert(list_construct->output());
}
changed = true;
} else if (node->kind() == aten::slice) {
changed |= optimizeSlice(node, first_input->node());
}
}
return changed;
}
std::unordered_set<Value*> mutated_lists_;
std::shared_ptr<Graph> graph_;
std::unique_ptr<AliasDb> aliasDb_;
bool refine_list_len_;
};
bool PeepholeOptimizeListIdioms(
const std::shared_ptr<Graph>& graph,
bool refine_list_len) {
PeepholeOptimizeListIdiomsImpl opt(graph, refine_list_len);
return opt.run();
}
} // namespace jit
} // namespace torch
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