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function_schema.h
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function_schema.h
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#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,
std::optional<int32_t> N = std::nullopt,
std::optional<IValue> default_value = std::nullopt,
bool kwarg_only = false,
std::optional<AliasInfo> alias_info = std::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,
std::optional<int32_t> N = std::nullopt,
std::optional<IValue> default_value = std::nullopt,
bool kwarg_only = false,
std::optional<AliasInfo> alias_info = std::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_;
}
std::optional<int32_t> N() const {
return N_;
}
const std::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(const TypePtr& new_type) const {
return Argument(
name_,
new_type,
N_,
default_value_,
kwarg_only_,
alias_info_ ? std::optional<AliasInfo>(*alias_info_) : std::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.
std::optional<int32_t> N_;
std::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
std::optional<AliasAnalysisKind> alias_kind_;
template <typename T>
void checkArg(const IValue& value, const Argument& argument, std::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 {
std::optional<int> index = argumentIndexWithName(name);
TORCH_INTERNAL_ASSERT(
index != std::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 std::optional<AliasTypeSet> &lhs, const std::optional<AliasTypeSet> &rhs) const;
// Recursively Finds all contained types within the AliasTypeSet.
std::optional<AliasTypeSet> getAliasTypeSetContainedTypes(const std::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]'.
std::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;
std::optional<int> argumentIndexWithName(c10::string_view name) const {
for (const auto i : c10::irange(arguments().size())) {
if(name == arguments()[i].name())
return i;
}
return std::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,
std::optional<size_t> position = std::nullopt,
std::optional<std::string> value = std::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;
}
std::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