forked from pytorch/pytorch
-
Notifications
You must be signed in to change notification settings - Fork 0
/
function_schema.h
687 lines (614 loc) · 23.4 KB
/
function_schema.h
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
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
#pragma once
#include <c10/util/StringUtil.h>
#include <c10/util/string_view.h>
#include <c10/util/irange.h>
#include <ATen/core/jit_type.h>
#include <ATen/core/symbol.h>
#include <ATen/core/ivalue.h>
#include <ATen/core/alias_info.h>
#include <ATen/core/operator_name.h>
#include <ATen/core/dispatch/OperatorOptions.h>
#include <unordered_map>
#include <utility>
namespace c10 {
// schema as used in the compiler for resolving function calls and reporting
// errors. These objects should be constructed from C10 schema once those
// are available.
struct Argument;
struct FunctionSchema;
using AliasTypeSet = std::vector<TypePtr>;
bool operator==(const Argument& lhs, const Argument& rhs);
struct Argument {
Argument(
std::string name = "",
const TypePtr& type = nullptr,
c10::optional<int32_t> N = c10::nullopt,
c10::optional<IValue> default_value = c10::nullopt,
bool kwarg_only = false,
c10::optional<AliasInfo> alias_info = c10::nullopt)
: Argument(std::move(name), type, type, N, std::move(default_value), kwarg_only, std::move(alias_info)) {}
Argument(
std::string name,
TypePtr fake_type,
TypePtr real_type,
c10::optional<int32_t> N = c10::nullopt,
c10::optional<IValue> default_value = c10::nullopt,
bool kwarg_only = false,
c10::optional<AliasInfo> alias_info = c10::nullopt)
: name_(std::move(name)),
type_(fake_type ? std::move(fake_type) : TensorType::get()),
real_type_(real_type ? std::move(real_type) : type_),
N_(N),
default_value_(std::move(default_value)),
alias_info_(alias_info ? std::make_unique<AliasInfo>(std::move(*alias_info)) : nullptr),
kwarg_only_(kwarg_only) {
// this is an softly-enforced invariant for out arguments.
bool is_alias = alias_info_ != nullptr && alias_info_->isWrite();
is_out_ = kwarg_only_ && is_alias;
}
Argument(Argument&& rhs) noexcept = default;
Argument(const Argument& rhs)
: name_(rhs.name_),
type_(rhs.type_),
real_type_(rhs.real_type_),
N_(rhs.N_),
default_value_(rhs.default_value_),
alias_info_(rhs.alias_info_ ? std::make_unique<AliasInfo>(*rhs.alias_info_) : nullptr),
kwarg_only_(rhs.kwarg_only_),
is_out_(rhs.is_out_) {}
Argument& operator=(Argument&& rhs) = default;
Argument& operator=(const Argument& rhs) {
if (this != &rhs) {
name_ = rhs.name_;
type_ = rhs.type_;
real_type_ = rhs.real_type_;
N_ = rhs.N_;
default_value_ = rhs.default_value_;
alias_info_ = rhs.alias_info_ ? std::make_unique<AliasInfo>(*rhs.alias_info_) : nullptr;
kwarg_only_ = rhs.kwarg_only_;
is_out_ = rhs.is_out_;
}
return *this;
}
const std::string& name() const {
return name_;
}
const TypePtr& type() const {
return type_;
}
// if type() is non-null, this is guaranteed to be non-null (if no real
// type was provided, this takes on type()'s value)
const TypePtr& real_type() const {
return real_type_;
}
c10::optional<int32_t> N() const {
return N_;
}
const c10::optional<IValue>& default_value() const {
return default_value_;
}
bool kwarg_only() const {
return kwarg_only_;
}
bool is_out() const {
return is_out_;
}
C10_NODISCARD const AliasInfo* alias_info() const {
return alias_info_.get();
}
bool is_inferred_type() const {
bool is_inferred_type = false;
TORCH_INTERNAL_ASSERT(type_);
if (auto pt = type_->cast<TensorType>()) {
if (pt->isInferredType()) {
is_inferred_type = true;
}
}
return is_inferred_type;
}
std::string formatTypeMismatchMsg(const std::string& actual_type) const {
std::string inferred_type_hint;
if (is_inferred_type()) {
inferred_type_hint = c10::str(
"Inferred '",
name(),
"' to be of type 'Tensor' ",
"because it was not annotated with an explicit type.\n");
}
return c10::str(
"Expected a value of type '",
type()->repr_str(),
"' for argument '",
name(),
"' but instead found type '",
actual_type,
"'.\n",
inferred_type_hint);
}
Argument cloneWithType(TypePtr new_type) const {
return Argument(
name_,
std::move(new_type),
N_,
default_value_,
kwarg_only_,
alias_info_ ? c10::optional<AliasInfo>(*alias_info_) : c10::nullopt);
}
// this function checks whether this Argument is backward compatible with
// the old one. we consider the following cases are backward compatible:
// 1) two arguments are equal
// 2) this arg's type should be subtype of old
// 3) this arg must provide the same default value if old arg has one,
bool isBackwardCompatibleWith(
const Argument& old,
std::ostream* why_not=nullptr) const;
// this function checks whether this Argument is forward compatible with
// the old one. we consider the following cases are forward compatible:
// 1) two arguments are equal
// 2) this arg's type should be subtype of old
// 3) this arg must provide the same default value if old arg has one,
bool isForwardCompatibleWith(
const Argument& old,
std::ostream* why_not = nullptr) const;
private:
std::string name_;
TypePtr type_;
TypePtr real_type_; // this is ScalarType, not int, e.g.
// for list types, an optional statically known length for the list
// e.g. for int[3]: type = ListType::ofInts(), N = 3
// If present, this will allow scalars to be broadcast to this length to
// become a list.
c10::optional<int32_t> N_;
c10::optional<IValue> default_value_;
// AliasInfo is huge, so let's only allocate memory for it if
// necessary (which it isn't during schema parsing on startup, to
// give a pertinent example).
std::unique_ptr<AliasInfo> alias_info_;
// is this only specifiable as a keyword argument?
bool kwarg_only_;
// marks if the argument is out variant of the schema
bool is_out_;
};
inline bool operator==(const Argument& lhs, const Argument& rhs) {
return lhs.name() == rhs.name()
&& *lhs.type() == *rhs.type()
&& lhs.N() == rhs.N()
&& lhs.default_value() == rhs.default_value()
&& lhs.kwarg_only() == rhs.kwarg_only()
&& (lhs.alias_info() == rhs.alias_info()
|| (lhs.alias_info() != nullptr && rhs.alias_info() != nullptr
&& *lhs.alias_info() == *rhs.alias_info()));
}
inline bool operator!=(const Argument& lhs, const Argument& rhs) {
return !(lhs == rhs);
}
enum struct TORCH_API SchemaArgType { input, output };
/**
* struct SchemaArgument
*
* Structure used to represent arguments or returns for a schema.
*/
struct TORCH_API SchemaArgument {
SchemaArgType type;
size_t index;
SchemaArgument(SchemaArgType tpe, size_t idx) : type(tpe), index(idx) {}
bool operator==(const SchemaArgument& rhs) const {
return type == rhs.type && index == rhs.index;
}
};
bool operator==(const FunctionSchema& lhs, const FunctionSchema& rhs);
struct TORCH_API FunctionSchema {
FunctionSchema(
std::string name,
std::string overload_name,
std::vector<Argument> arguments,
std::vector<Argument> returns,
bool is_vararg = false,
bool is_varret = false)
: name_({std::move(name), std::move(overload_name)}),
arguments_(std::move(arguments)),
returns_(std::move(returns)),
is_vararg_(is_vararg),
is_varret_(is_varret) {
checkSchema();
}
FunctionSchema(
Symbol name,
std::string overload_name,
std::vector<Argument> arguments,
std::vector<Argument> returns,
bool is_vararg = false,
bool is_varret = false)
: FunctionSchema(
name.toQualString(),
std::move(overload_name),
std::move(arguments),
std::move(returns),
is_vararg,
is_varret) {
checkSchema();
}
// Checks whether this schema is backward compatible with the old one.
// The following conditions must be true:
// [Function structure] The new schema's name, overload-name, varargs, and
// return arity are the same.
// [Output Narrowing] The new schema's output type must be the same class
// or inherit from the old schema's output type.
// [Argument count] The new schema must have at least as many arguments as
// the old schema (considering the list of positional and kwargs).
// [Arg Compatibility] Every argument in the old schema has a corresponding
// argument in the new schema that:
// * is at the same position.
// * has the same name.
// * is either positional, or kwarg and the old argument was kwarg.
// * has the same type, or the old argument's type inherits from the
// new argument's type.
// [Default Values] Every new argument must have a default value.
// E.g.
// OK f_new(a, b, c=1) => f_old(a, b)
// NOK f_new(a, c=1, *, b) => f_old(a, *, b)
// OK f_new(a, b, *, c) => f_old(a, *, b, c)
// NOK f_new(a, *, b, c) -> f_old(a, b, *, c)
// NOK f_new(a, *, c, b) => f_old(a, *, b, c)
// OK f_new(a, *, b, c, d=1) => f_old(a, *, b, c)
bool isBackwardCompatibleWith(
const FunctionSchema& old,
std::ostream* why_not = nullptr) const;
// Checks whether this schema is forward compatible with the old one.
// The following conditions must be true:
// [Function structure] The new schema's name, overload-name, varargs, and
// return arity are the same.
// [Output Narrowing] The new schema's output type must be the same class
// or inherit from the old schema's output type.
// [Arg Compatibility] Every argument in the old schema has a corresponding
// argument in the new schema that:
// * is at the same position.
// * has the same name.
// * is either positional, or kwarg and the old argument was kwarg.
// * has the same type, or the old argument's type inherits from the
// new argument's type.
// [Default Values] Every new argument must have a default value.
// Each default value type should NOT be a container type.
// [Positioning] All defaults arguments MUST go after either old
// default arguments or the end of positional arguments
// and right BEFORE all out arguments
bool isForwardCompatibleWith(
const FunctionSchema& old,
std::ostringstream& why_not) const;
private:
OperatorName name_;
std::vector<Argument> arguments_;
std::vector<Argument> returns_;
// if true then this schema takes an arbitrary number of additional arguments
// after the argument specified in arguments
// currently this is used primarily to represent 'primitive' operators whose
// arguments are not checked by schema
bool is_vararg_;
bool is_varret_;
// if no alias information is directly specified, what kind of "default"
// alias information should we infer?
// NB: due to alias analysis kind merging, this may be nullopt. Eventually
// this should always be set no matter what
c10::optional<AliasAnalysisKind> alias_kind_;
template <typename T>
void checkArg(const IValue& value, const Argument& argument, optional<size_t> pos) const;
void checkSchema() const {
bool seen_default_arg = false;
for (const auto& arg : arguments()) {
if (arg.default_value()) {
seen_default_arg = true;
} else {
// we have historically serialized broadcasting lists wo/default values,
// so to not break BC allow lists here
if (arg.type()->kind() == ListType::Kind) {
continue;
}
TORCH_INTERNAL_ASSERT(
!seen_default_arg || arg.kwarg_only(),
"Non-default positional argument follows default argument. Parameter ",
arg.name(),
" in ",
*this);
}
}
}
public:
void dump() const;
const OperatorName& operator_name() const {
return name_;
}
const std::string& name() const {
return name_.name;
}
const std::string& overload_name() const {
return name_.overload_name;
}
const std::vector<Argument>& arguments() const {
return arguments_;
}
const std::vector<Argument>& returns() const {
return returns_;
}
bool is_vararg() const {
return is_vararg_;
}
bool is_varret() const {
return is_varret_;
}
bool is_aliasing(const c10::SchemaArgument &argument) const {
TORCH_INTERNAL_ASSERT(
argument.index < getCorrectList(argument.type).size(),
"Invalid index for schema.");
const AliasInfo* aliasInfo = getCorrectList(argument.type)[argument.index].alias_info();
return aliasInfo;
}
bool is_mutable() const {
return std::any_of(
arguments_.cbegin(), arguments_.cend(), [](const Argument& arg) {
const AliasInfo* aliasInfo = arg.alias_info();
return aliasInfo && aliasInfo->isWrite();
});
}
bool is_mutable(const c10::SchemaArgument &argument) const {
TORCH_INTERNAL_ASSERT(
argument.index < getCorrectList(argument.type).size(),
"Invalid index for schema.");
const AliasInfo* aliasInfo = getCorrectList(argument.type)[argument.index].alias_info();
return aliasInfo && aliasInfo->isWrite();
}
bool is_mutable(c10::string_view name) const {
c10::optional<int> index = argumentIndexWithName(name);
TORCH_INTERNAL_ASSERT(
index != c10::nullopt, "Schema has no argument named ", name);
return is_mutable({c10::SchemaArgType::input, static_cast<size_t>(*index)});
}
// Returns whether lhs and rhs may alias directly.
// This does not account for cases where lhs or rhs are a container that
// may contain elements that alias the other argument.
// FunctionSchema::may_contain_alias will include that functionality.
bool may_alias(const SchemaArgument& lhs, const SchemaArgument& rhs) const;
// Returns whether lhs and rhs may alias directly or whether lhs/rhs are a container
// that may contain elements that alias the other argument.
// bidirectional = false only returns whether lhs may contain an alias of rhs
// while bidirectional = true returns both directions.
bool may_contain_alias(const SchemaArgument& lhs, const SchemaArgument& rhs, bool bidirectional = true) const;
// Returns whether the two AliasTypeSets contain any similarities
// ie: whether the two type sets can alias.
bool canAliasTypeSetsAlias(const c10::optional<AliasTypeSet> &lhs, const c10::optional<AliasTypeSet> &rhs) const;
// Recursively Finds all contained types within the AliasTypeSet.
c10::optional<AliasTypeSet> getAliasTypeSetContainedTypes(const c10::optional<AliasTypeSet> &aliasTypeSet) const;
// Similar to mapTypeToAliasTypeSet defined in alias_analysis.cpp.
// Used to map types to a type such that all types that can alias will be mapped to the same type.
// For example, calling this method on 'Optional[List[int]]' is the same as calling this method
// on 'List[int]'.
c10::optional<AliasTypeSet> mapTypeToAliasTypeSet(const TypePtr& type) const;
// Returns either arguments() or returns() depending on the SchemaArgType
// output => returns(), input => arguments()
const std::vector<Argument>& getCorrectList(SchemaArgType type) const;
c10::optional<int> argumentIndexWithName(c10::string_view name) const {
for (const auto i : c10::irange(arguments().size())) {
if(name == arguments()[i].name())
return i;
}
return c10::nullopt;
}
FunctionSchema cloneWithName(std::string name, std::string overload_name) const {
return FunctionSchema(
std::move(name),
std::move(overload_name),
arguments(),
returns(),
is_vararg(),
is_varret()
);
}
FunctionSchema cloneWithArguments(std::vector<Argument> new_arguments) const {
return FunctionSchema(
name(),
overload_name(),
std::move(new_arguments),
returns(),
is_vararg(),
is_varret());
}
FunctionSchema cloneWithReturns(std::vector<Argument> new_returns) const {
return FunctionSchema(
name(),
overload_name(),
arguments(),
std::move(new_returns),
is_vararg(),
is_varret());
}
std::string formatTypeMismatchMsg(
const Argument& expected,
const std::string& actual_type,
c10::optional<size_t> position = c10::nullopt,
c10::optional<std::string> value = c10::nullopt) const;
FunctionSchema cloneWithRemappedTypes(
const std::function<TypePtr(TypePtr)> type_map) const;
FunctionSchema cloneWithRealTypes(bool with_symint=true) const;
// Check that inputs have the correct types and appends any missing default
// values.
template <typename T = c10::PlatformType>
void checkAndNormalizeInputs(
std::vector<IValue>& inputs,
const std::unordered_map<std::string, IValue>& kwargs =
std::unordered_map<std::string, IValue>{}) const;
std::string findErrorInKwargs(const std::vector<std::string>& kwargs) const;
bool hasAnyAliasInfo() const {
for (const auto& arg : arguments_) {
if (arg.alias_info() != nullptr) {
return true;
}
}
for (const auto& ret : returns_) {
if (ret.alias_info() != nullptr) {
return true;
}
}
return false;
}
// TODO remove the mutation here
bool isDefaultAliasAnalysisKind() const {
return !alias_kind_;
}
AliasAnalysisKind aliasAnalysis() const {
return alias_kind_.value_or(AliasAnalysisKind::CONSERVATIVE);
}
void setAliasAnalysis(AliasAnalysisKind v) {
alias_kind_ = v;
}
c10::optional<c10::string_view> getNamespace() const {
return name_.getNamespace();
}
// Returns true if we successfully set the namespace (as there
// was none set, and false otherwise)
bool setNamespaceIfNotSet(const char* ns) {
return name_.setNamespaceIfNotSet(ns);
}
// can a function with this schema be substituted for a function of rhs's
// schema and have the program typecheck?
// as_method - if true, treat this schema as a method and ignore
// the first argument, which will be the object in both cases
bool isSubtypeOf(const FunctionSchema& rhs, bool as_method, std::ostream* why_not=nullptr) const;
};
inline bool operator==(const FunctionSchema& lhs, const FunctionSchema& rhs) {
return lhs.name() == rhs.name()
&& lhs.overload_name() == rhs.overload_name()
&& lhs.arguments() == rhs.arguments()
&& lhs.returns() == rhs.returns()
&& lhs.is_vararg() == rhs.is_vararg()
&& lhs.is_varret() == rhs.is_varret();
}
inline bool operator!=(const FunctionSchema& lhs, const FunctionSchema& rhs) {
return !(lhs == rhs);
}
// print out Argument, which is compatible with FunctionSchema parser
// full format: Type(alias)? name=default_value
inline std::ostream& operator<<(std::ostream& out, const Argument& arg) {
// for adjusting the ? position.
// in schema, we have Tensor?(a!) input, and t(a!)?.
// however, t?(a!) doesn't work with schema parser.
// so we always use Type(alias)? format
// real_type versus fake_type: in order to be compatible with FunctionSchema
// parser, printing an argument with either MemoryFormat or Layout type should
// give us the original schema string, hence printing out real_type.
auto type = arg.real_type();
bool is_opt = type->kind() == OptionalType::Kind;
auto unopt_type = is_opt ? type->castRaw<OptionalType>()->getElementType() : type;
if (unopt_type->kind() == ListType::Kind) {
// sized lists get size N from arg, not type
auto list = unopt_type->cast<c10::ListType>();
out << list->getElementType()->str();
if (arg.alias_info() && !arg.alias_info()->containedTypes().empty()){
out << arg.alias_info()->containedTypes()[0];
}
std::string N = "";
if (arg.N()) {
N = std::to_string(*arg.N());
}
out << "[" << N << "]";
} else {
out << unopt_type->str();
}
// print alias info if it has beforeSets.
if (arg.alias_info() && !arg.alias_info()->beforeSets().empty()) {
out << *arg.alias_info();
}
if (is_opt) {
out << "?";
}
if (!arg.name().empty()) {
out << " " << arg.name();
}
if (arg.default_value()) {
out << "=";
if ((type->kind() == c10::TypeKind::StringType ||
unopt_type->kind() == c10::TypeKind::StringType) &&
arg.default_value().value().isString()) {
printQuotedString(out, arg.default_value().value().toStringRef());
} else if (type->kind() == TypeKind::ListType && type->castRaw<ListType>()->getElementType()->kind() == c10::TypeKind::IntType) {
// We want to faithfully replicate JIT schema.
// in native_functions.yaml defaults for int arrays with a single value always look like
// int[2] stride=1
// instead of
// int[2] stride=[1, 1]
auto default_val = arg.default_value().value().toIntList();
if (default_val.size() > 1) {
auto all_defaults_the_same = true;
for (const auto i : c10::irange(1, default_val.size())) {
if (default_val[0] != default_val[i]) all_defaults_the_same = false;
}
if (all_defaults_the_same) {
out << default_val[0];
} else {
out << arg.default_value().value();
}
} else {
out << arg.default_value().value();
}
} else {
out << arg.default_value().value();
}
}
return out;
}
inline std::ostream& operator<<(std::ostream& out, const FunctionSchema& schema);
inline std::string toString(const FunctionSchema& schema) {
std::ostringstream str;
str << schema;
return str.str();
}
} // namespace c10
namespace std {
template<>
struct hash<c10::SchemaArgument> {
size_t operator()(const c10::SchemaArgument& arg) const
{
return c10::hash_combine(std::hash<size_t>()(arg.index), std::hash<size_t>()(static_cast<std::size_t>(arg.type)));
}
};
template<>
struct hash<c10::Argument> {
size_t operator()(const c10::Argument& arg) const
{
auto hash = std::hash<std::string>{}(arg.name());
auto type_hash = std::hash<c10::TypePtr>{}(arg.type());
auto kwarg_only_hash = std::hash<bool>{}(arg.kwarg_only());
hash = c10::hash_combine(hash, type_hash);
hash = c10::hash_combine(hash, kwarg_only_hash);
// hashing optional fields if they exist
if (arg.default_value()) {
auto default_value_hash = c10::hash<c10::IValue>{}(arg.default_value().value());
hash = c10::hash_combine(hash, default_value_hash);
}
if (arg.N()) {
auto N_hash = std::hash<int64_t>{}(*arg.N());
hash = c10::hash_combine(hash, N_hash);
}
if (arg.alias_info()) {
auto alias_info_hash = std::hash<c10::AliasInfo>{}(*arg.alias_info());
hash = c10::hash_combine(hash, alias_info_hash);
}
return hash;
}
};
template<>
struct hash<c10::FunctionSchema> {
size_t operator()(const c10::FunctionSchema& schema) const
{
auto hash = std::hash<c10::OperatorName>{}(schema.operator_name());
auto args_hash = c10::hash<std::vector<c10::Argument>>{}(schema.arguments());
auto returns_hash = c10::hash<std::vector<c10::Argument>>{}(schema.returns());
auto is_vararg_hash = std::hash<bool>{}(schema.is_vararg());
auto is_varret_hash = std::hash<bool>{}(schema.is_varret());
hash = c10::hash_combine(hash, args_hash);
hash = c10::hash_combine(hash, returns_hash);
hash = c10::hash_combine(hash, is_vararg_hash);
hash = c10::hash_combine(hash, is_varret_hash);
return hash;
}
};
} // namespace std
#include <ATen/core/function_schema_inl.h> // IWYU pragma: keep