1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272
|
#include <torch/csrc/jit/ir/alias_analysis.h>
#include <torch/csrc/jit/passes/peephole_dict_idioms.h>
namespace torch {
namespace jit {
namespace {
class DictNodeImplBase {
public:
virtual ~DictNodeImplBase() = default;
virtual bool contains(const IValue&) const = 0;
virtual size_t size() const = 0;
virtual Value* get(const IValue&) const = 0;
bool canOptimize() {
return !has_overlap_ && !has_non_const_key_;
}
protected:
bool has_overlap_ = false;
bool has_non_const_key_ = false;
};
template <class KeyType>
class DictNodeImpl : public DictNodeImplBase {
public:
DictNodeImpl(
std::function<KeyType(const IValue&)> ivalue_converter,
Node* dict_creation_node)
: ivalue_converter_(std::move(ivalue_converter)) {
for (size_t i = 0; i < dict_creation_node->inputs().size(); i += 2) {
auto key_opt = toIValue(dict_creation_node->input(i));
// Key is not constant if we cannot convert to IValue
if (key_opt == c10::nullopt) {
has_non_const_key_ = true;
continue;
}
KeyType key = ivalue_converter_(*key_opt);
if (dict_.find(key) == dict_.end()) {
dict_.emplace(key, dict_creation_node->input(i + 1));
} else {
has_overlap_ = true;
}
}
}
bool contains(const IValue& ivalue) const override {
auto key = ivalue_converter_(ivalue);
return dict_.find(key) != dict_.end();
}
size_t size() const override {
return dict_.size();
}
Value* get(const IValue& ivalue) const override {
auto val = ivalue_converter_(ivalue);
auto loc = dict_.find(val);
if (loc != dict_.end()) {
return loc->second;
}
TORCH_CHECK(false, "Cannot get non-existent key");
}
private:
std::unordered_map<KeyType, Value*> dict_;
std::function<KeyType(const IValue&)> ivalue_converter_;
};
class DictNode {
public:
explicit DictNode(Node* dict_creation_node) {
auto dict_type = dict_creation_node->output()->type();
auto key_value_types = dict_type->containedTypes();
TORCH_CHECK(
key_value_types.size() == 2, "Dict must have 2 contained types");
const auto& key_type = key_value_types[0];
switch (key_type->kind()) {
case TypeKind::IntType: {
auto ivalue_converter = [](const IValue& ival) { return ival.toInt(); };
impl_ = std::make_unique<DictNodeImpl<int64_t>>(
std::move(ivalue_converter), dict_creation_node);
break;
}
case TypeKind::FloatType: {
auto ivalue_converter = [](const IValue& ival) {
return ival.toDouble();
};
impl_ = std::make_unique<DictNodeImpl<double>>(
std::move(ivalue_converter), dict_creation_node);
break;
}
case TypeKind::StringType: {
auto ivalue_converter = [](const IValue& ival) {
return *ival.toString();
};
impl_ = std::make_unique<DictNodeImpl<std::string>>(
std::move(ivalue_converter), dict_creation_node);
break;
}
default:
impl_ = nullptr;
}
}
bool canOptimize() const {
if (impl_) {
return impl_->canOptimize();
}
return false;
}
size_t size() const {
if (impl_) {
return impl_->size();
}
return 0;
}
c10::optional<Value*> getOrNullopt(const IValue& key) const {
if (impl_ && impl_->contains(key)) {
return impl_->get(key);
}
return c10::nullopt;
}
private:
std::unique_ptr<DictNodeImplBase> impl_;
};
bool isDict(Value* v) {
return v->type()->castRaw<DictType>() != nullptr;
}
class PeepholeOptimizeDictIdiomsImpl {
public:
explicit PeepholeOptimizeDictIdiomsImpl(std::shared_ptr<Graph> graph)
: graph_(std::move(graph)), aliasDb_(std::make_unique<AliasDb>(graph_)) {}
bool run() {
collectMutatedDicts(graph_->block());
return runBlock(graph_->block());
}
private:
void checkForMutatedDicts(Value* v) {
if (isDict(v) && aliasDb_->hasWriters(v)) {
mutated_dicts_.insert(v);
}
}
void collectMutatedDicts(Block* b) {
for (Value* v : b->inputs()) {
checkForMutatedDicts(v);
}
for (Node* n : b->nodes()) {
for (Value* v : n->outputs()) {
checkForMutatedDicts(v);
}
for (Block* block : n->blocks()) {
collectMutatedDicts(block);
}
}
}
const DictNode& getDictNode(Node* creation_node) {
auto cached = dict_cache_.find(creation_node);
if (cached == dict_cache_.end()) {
cached =
dict_cache_.emplace(creation_node, DictNode(creation_node)).first;
}
return cached->second;
}
c10::optional<Value*> getValueFromDict(Node* dict_creation_node, Value* key) {
const DictNode& dict_node = getDictNode(dict_creation_node);
auto key_opt = toIValue(key);
// Key is not constant if we cannot convert to IValue
if (key_opt == c10::nullopt) {
return c10::nullopt;
}
IValue key_ival = *key_opt;
if (dict_node.canOptimize()) {
return dict_node.getOrNullopt(key_ival);
}
return c10::nullopt;
}
c10::optional<int64_t> computeLen(Node* dict_creation_node) {
const DictNode& dict_node = getDictNode(dict_creation_node);
if (dict_node.canOptimize()) {
return static_cast<int64_t>(dict_node.size());
}
return c10::nullopt;
}
bool optimizeLen(Node* len_node, Node* creation_node) {
if (creation_node->kind() == prim::DictConstruct) {
auto len = computeLen(creation_node);
if (len != c10::nullopt) {
WithInsertPoint guard(len_node);
len_node->output()->replaceAllUsesWith(graph_->insertConstant(len));
return true;
}
}
return false;
}
bool optimizeGetItem(Node* getitem_node, Node* creation_node) {
if (creation_node->kind() == prim::DictConstruct) {
auto key = getitem_node->input(1);
auto value = getValueFromDict(creation_node, key);
if (value != c10::nullopt) {
getitem_node->output()->replaceAllUsesWith(*value);
return true;
}
}
return false;
}
bool runBlock(Block* block) {
bool changed = false;
for (Node* node : block->nodes()) {
for (Block* b : node->blocks()) {
changed |= runBlock(b);
}
// only optimizing dict ops
if (node->inputs().size() == 0 || !isDict(node->input(0))) {
continue;
}
auto first_input = node->input(0);
// only optimizing ops with unmutated inputs
if (mutated_dicts_.count(first_input)) {
continue;
}
if (node->kind() == aten::len) {
changed |= optimizeLen(node, first_input->node());
} else if (node->kind() == aten::__getitem__) {
changed |= optimizeGetItem(node, first_input->node());
}
}
return changed;
}
std::shared_ptr<Graph> graph_;
std::unordered_set<Value*> mutated_dicts_;
std::unique_ptr<AliasDb> aliasDb_;
std::unordered_map<Node*, DictNode> dict_cache_;
};
} // namespace
bool PeepholeOptimizeDictIdioms(const std::shared_ptr<Graph>& graph) {
PeepholeOptimizeDictIdiomsImpl opt(graph);
return opt.run();
}
} // namespace jit
} // namespace torch
|