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#include <torch/csrc/jit/frontend/sugared_value.h>
#include <c10/util/irange.h>
#include <torch/csrc/jit/frontend/schema_matching.h>
#include <torch/csrc/jit/frontend/tree_views.h>
#include <torch/csrc/jit/ir/ir.h>
#include <torch/csrc/jit/passes/constant_propagation.h>
namespace torch {
namespace jit {
struct NoneValue : SugaredValue {
NoneValue() = default;
std::string kind() const override {
return "None";
}
};
std::shared_ptr<SugaredValue> PrintValue::call(
const SourceRange& loc,
GraphFunction& m,
at::ArrayRef<NamedValue> args,
at::ArrayRef<NamedValue> kwargs,
size_t n_binders) {
auto& g = *m.graph();
if (!kwargs.empty())
throw ErrorReport(loc) << "print doesn't accept any keyword arguments";
std::vector<Value*> lowered_inputs = toValues(*m.graph(), args);
g.insertNode(g.create(prim::Print, lowered_inputs, 0)->setSourceRange(loc));
return std::make_shared<NoneValue>();
}
static const std::unordered_map<std::string, at::ScalarType>&
builtin_cast_method_to_scalar_type() {
static std::unordered_map<std::string, at::ScalarType> mapping = {
{"byte", at::kByte},
{"char", at::kChar},
{"double", at::kDouble},
{"float", at::kFloat},
{"cfloat", at::kComplexFloat},
{"cdouble", at::kComplexDouble},
{"int", at::kInt},
{"long", at::kLong},
{"short", at::kShort},
{"half", at::kHalf}};
return mapping;
}
std::shared_ptr<SugaredValue> BuiltinFunction::call(
const SourceRange& loc,
GraphFunction& m,
at::ArrayRef<NamedValue> args,
at::ArrayRef<NamedValue> kwargs,
size_t n_binders) {
return std::make_shared<SimpleValue>(
emitBuiltinCall(loc, *m.graph(), symbol, args, kwargs, self));
}
// older versions of gcc/clang have a bug where enums can't be used as keys
// in a map by default
// https://stackoverflow.com/questions/18837857/cant-use-enum-class-as-unordered-map-key
struct EnumClassHash {
template <typename T>
std::size_t operator()(T t) const {
return static_cast<std::size_t>(t);
}
};
bool SimpleValue::hasAttr(
const SourceRange& loc,
GraphFunction& m,
const std::string& field) {
auto class_type = value_->type()->cast<ClassType>();
if (!class_type) {
throw ErrorReport(loc) << "hasattr's first argument must be an object, got "
<< value_->type()->repr_str() << " instead";
}
return class_type->hasMethod(field) || class_type->hasAttribute(field) ||
class_type->hasConstant(field);
}
// support syntax sugar for x.foo(y, z) by allowing x.foo to return a
// callable value that will resolve to foo(x, y, z) when called.
std::shared_ptr<SugaredValue> SimpleValue::attr(
const SourceRange& loc,
GraphFunction& m,
const std::string& field) {
// Allow method-style casts on Tensor types. e.g. x.int()
if (value_->type()->isSubtypeOf(*TensorType::get())) {
if (builtin_cast_method_to_scalar_type().count(field)) {
return std::make_shared<TensorCastValue>(
builtin_cast_method_to_scalar_type().at(field),
NamedValue(loc, "self", value_));
}
}
// accessing properties of Tensor and Device that are implemented as
// prim:: or aten:: operators
using PropertiesLookup = std::unordered_map<
TypeKind,
std::unordered_map<std::string, std::string>,
EnumClassHash>;
static const PropertiesLookup builtin_properties = {
{TypeKind::OptionalType,
{
{"unchecked_unwrap_optional", "prim"},
}},
{TypeKind::TensorType,
{
{"dtype", "prim"},
{"device", "prim"},
{"grad", "prim"},
{"data", "prim"},
{"shape", "prim"},
{"is_cuda", "prim"},
{"is_cpu", "prim"},
{"is_xpu", "prim"},
{"is_sparse", "prim"},
{"is_sparse_csr", "prim"},
{"is_mkldnn", "prim"},
{"is_mps", "prim"},
{"is_quantized", "prim"},
{"is_vulkan", "prim"},
{"is_ipu", "prim"},
{"is_meta", "prim"},
{"is_leaf", "aten"},
{"is_nested", "prim"},
{"requires_grad", "prim"},
{"layout", "prim"},
{"T", "prim"},
{"H", "prim"},
{"mT", "aten"},
{"mH", "aten"},
{"is_ort", "prim"},
{"ndim", "prim"},
{"name", "prim"},
{"real", "aten"},
{"imag", "aten"},
{"retains_grad", "aten"},
}},
{TypeKind::DeviceObjType, {{"type", "prim"}, {"index", "prim"}}}};
auto kind = value_->type()->kind();
auto types_for_builtin = builtin_properties.find(kind);
if (types_for_builtin != builtin_properties.end()) {
auto builtin_entry = types_for_builtin->second.find(field);
if (builtin_entry != types_for_builtin->second.end()) {
// A builtin was found, add it to the graph
auto the_namespace = builtin_entry->second;
auto r = m.graph()->insert(
Symbol::fromQualString(the_namespace + "::" + field), {value_});
return std::make_shared<SimpleValue>(r);
}
}
// accessing fields of named tuples
if (auto tuple_type = value_->type()->cast<TupleType>()) {
if (tuple_type->schema()) {
auto attrs = tuple_type->schema()->arguments();
for (const auto i : c10::irange(attrs.size())) {
if (attrs[i].name() == field) {
auto idx = m.graph()->insertConstant(IValue(static_cast<int64_t>(i)));
auto out_type = tuple_type->elements().at(i);
auto r = m.graph()
->insertNode(
m.graph()->createTupleIndex(value_, idx, out_type))
->output();
return std::make_shared<SimpleValue>(r);
}
}
}
} else if (auto classType = value_->type()->cast<ClassType>()) {
// This is a class, emit the proper attribute lookup
if (classType->findMethod(field)) {
return std::make_shared<MethodValue>(getValue(), field);
}
if (classType->hasAttribute(field)) {
auto& g = *m.graph();
auto n = g.insertNode(g.createGetAttr(value_, field));
return std::make_shared<SimpleValue>(n->output());
}
// Check and see if it's a getter attribute.
auto prop = classType->getProperty(field);
if (prop) {
return MethodValue(value_, prop->getter->name())
.call(loc, m, {}, {}, /*n_binders=*/1);
}
} else if (auto iface = value_->type()->cast<InterfaceType>()) {
// accessing methods of interfaces
if (iface->getMethod(field)) {
return std::make_shared<MethodValue>(getValue(), field);
}
} else if (auto enum_type = value_->type()->cast<EnumType>()) {
// Handle access to Enum's `name` and `value` attribute.
auto& g = *m.graph();
if (field == "name") {
auto n = g.insertNode(g.createEnumName(value_));
return std::make_shared<SimpleValue>(n->output());
}
if (field == "value") {
auto n = g.insertNode(g.createEnumValue(value_));
return std::make_shared<SimpleValue>(n->output());
}
}
// none of the more-specific cases worked, so see if this is a builtin method
// If field is a type, then call the aten::to op
if (field == "type") {
if (auto builtin = BuiltinFunction::tryCreate(
Symbol::aten("to"), NamedValue(loc, "self", value_))) {
return builtin;
}
}
if (auto builtin = BuiltinFunction::tryCreate(
Symbol::aten(field), NamedValue(loc, "self", value_))) {
return builtin;
}
// Handle calling tolist() on a Tensor.
if (value_->type()->isSubtypeOf(*TensorType::get()) && field == "tolist") {
return SpecialFormValue::create(prim::tolist);
}
// Handle calling __getitem__() directly on a Tensor, it needs special
// handling because desired method name (`__getitem__`) doesn't match `aten`
// operator name of `aten::index`.
if (value_->type()->isSubtypeOf(*TensorType::get()) &&
field == "__getitem__") {
return SpecialFormValue::create(aten::index);
}
ErrorReport report(loc);
report << "'" << value_->type()->repr_str()
<< "' object has no attribute or method '" << field << "'.";
if (auto classType = value_->type()->cast<ClassType>()) {
if (classType->isUnresolvedClassAttribute(field)) {
report
<< " '" << field
<< "' is defined as a class attribute which currently is not"
" supported. Consider converting this to an instance attribute.";
} else {
report << " Did you forget to initialize an attribute in __init__()?";
}
}
throw report;
}
std::vector<std::shared_ptr<SugaredValue>> SimpleValue::asTuple(
const SourceRange& loc,
GraphFunction& m,
const c10::optional<size_t>& size_hint) {
static const auto make_simple_value =
[](Value* v) -> std::shared_ptr<SugaredValue> {
return std::make_shared<SimpleValue>(v);
};
if (value_->type()->kind() == TypeKind::TupleType) {
auto outputs = createTupleUnpack(value_);
return fmap(outputs, make_simple_value);
} else if (value_->type()->kind() == TypeKind::ListType) {
if (!size_hint) {
throw ErrorReport(loc)
<< "cannot statically infer the expected size of a "
<< "list in this context";
}
auto graph = value_->owningGraph();
Node* unpack =
graph->insertNode(graph->createListUnpack(value_, *size_hint));
return fmap(unpack->outputs(), make_simple_value);
} else if (value_->type()->kind() == TypeKind::AnyTupleType) {
throw ErrorReport(loc)
<< "Provided tuple is not fully defined/refined including its element types, please provide a value of type like Tuple[int, int]";
}
throw ErrorReport(loc) << value_->type()->repr_str()
<< " cannot be used as a tuple";
}
static bool isRecursive(const TypePtr& classType, const TypePtr& attrType) {
if (attrType->isSubtypeOf(*classType)) {
return true;
}
// Recursively check contained types. We need to do this because a user may do
// A -> B -> A.
for (const auto& type : attrType->containedTypes()) {
if (isRecursive(classType, type)) {
return true;
}
}
return false;
}
void SimpleValue::setAttr(
const SourceRange& loc,
GraphFunction& m,
const std::string& field,
Value* newValue) {
const auto classType = value_->type()->cast<ClassType>();
if (!classType) {
throw ErrorReport(loc) << "Tried to set an attribute: " << field
<< " on a non-class: " << value_->type()->repr_str();
}
auto expectedType = classType->findAttribute(field);
if (!expectedType) {
// If we are still compiling the __init__ method for this class, then
// setting an unknown attribute adds it to the class's definition.
// We are initializing if:
const auto isInitializing =
// 1. The method we're currently inserting into is an init method
// TODO this can be a qualified name check
m.name() == "__init__" &&
// 2. The `self` arg matches this value's type (i.e. we are in the init
// method for this class, not some other class)
!m.graph()->inputs().empty() &&
m.graph()->inputs().at(0)->type() == classType;
if (isInitializing) {
if (isRecursive(classType, newValue->type())) {
throw ErrorReport(loc)
<< "Assignment to attribute '" << field
<< "' cannot be of a type that contains class "
<< "'" << classType->repr_str() << "'.\n"
<< "Classes that recursively contain instances of themselves"
<< " are not yet supported";
}
classType->addAttribute(field, newValue->type());
expectedType = newValue->type();
const auto insertPoint = m.graph()->insertPoint();
const auto topLevelBlock = m.graph()->block();
if (insertPoint->owningBlock() != topLevelBlock) {
throw ErrorReport(loc)
<< "First assignment cannot be in a control-flow block. "
<< "Initialize the field at the top level first";
}
} else {
// Check and see if it's a setter attribute.
auto prop = classType->getProperty(field);
if (prop && prop->setter) {
MethodValue(value_, prop->setter->name())
.call(loc, m, {newValue}, {}, /*n_binders=*/1);
return;
}
if (prop && !prop->setter) {
throw ErrorReport(loc) << "Tried to set read-only attribute: " << field;
}
throw ErrorReport(loc)
<< "Tried to set nonexistent attribute: " << field
<< ". Did you forget to initialize it in __init__()?";
}
}
AT_ASSERT(expectedType);
// Check type correctness
const auto newType = newValue->type();
if (!newType->isSubtypeOf(*expectedType)) {
throw ErrorReport(loc) << "Wrong type for attribute assignment. Expected "
<< expectedType->repr_str() << " but got "
<< newType->repr_str();
}
auto& g = *m.graph();
g.insertNode(g.createSetAttr(value_, field, newValue));
}
std::shared_ptr<SugaredValue> SimpleValue::call(
const SourceRange& loc,
GraphFunction& m,
at::ArrayRef<NamedValue> args,
at::ArrayRef<NamedValue> kwargs,
size_t n_binders) {
// allow our 'fake' closures to be called, used for fork serialization
// at the moment, but can be expanded later
Node* self = getValue()->node();
if (self->kind() == prim::TupleConstruct && self->inputs().size() == 2 &&
self->inputs().at(0)->node()->kind() == prim::Closure) {
std::shared_ptr<Graph> graph =
self->inputs().at(0)->node()->g(attr::Subgraph);
Value* context = self->inputs().at(1);
AT_ASSERT(context->node()->kind() == prim::TupleConstruct);
// fork nodes are emitted in their own block but we do not simplify
// tuple construction across blocks. To ensure we clean up the tuple
// construct create another copy of the tuple construct in the fork block
Value* close_context =
m.graph()
->insertNode(m.graph()->createTuple(context->node()->inputs()))
->output();
// TODO this needs to go in `m`s compilation unit
auto cu = std::make_shared<CompilationUnit>();
auto fn = cu->create_function(QualifiedName("anon"), graph);
auto ret = StrongFunctionPtr(std::move(cu), fn);
std::vector<NamedValue> ctx_inputs = {close_context};
ctx_inputs.insert(ctx_inputs.end(), args.begin(), args.end());
return FunctionValue(ret).call(loc, m, ctx_inputs, kwargs, n_binders);
}
if (auto class_type = getValue()->type()->cast<ClassType>()) {
return attr(loc, m, "__call__")->call(loc, m, args, kwargs, n_binders);
}
return SugaredValue::call(loc, m, args, kwargs, n_binders);
}
Value* SimpleValue::len(const SourceRange& loc, GraphFunction& m) {
// List, Tuple, Tensor, fill in missing information desugaring
Value* val = getValue();
TypePtr val_type = val->type();
Graph& g = *m.graph();
if (val_type->cast<ListType>() || val_type->cast<StringType>() ||
val_type->isSubtypeOf(*TensorType::get())) {
return g.insert(aten::len, {val}, {}, loc);
} else {
throw ErrorReport(loc) << "'" << val_type->repr_str() << "'"
<< " object is not iterable";
}
}
SugaredValuePtr SimpleValue::getitem(
const SourceRange& loc,
GraphFunction& m,
Value* idx,
TypePtr type_hint) {
Value* val = getValue();
TypePtr val_type = val->type();
Graph& g = *m.graph();
// if it's a List/String/Dict, emit a regular __getitem__ op
// NOLINTNEXTLINE(bugprone-branch-clone)
if (val_type->cast<ListType>() || val_type->cast<StringType>()) {
return std::make_shared<SimpleValue>(
g.insert(aten::__getitem__, {val, idx}, {}, loc));
} else if (auto dict_type = val_type->cast<DictType>()) {
return std::make_shared<SimpleValue>(
g.insert(aten::__getitem__, {val, idx}, {}, loc));
} else if (val_type->isSubtypeOf(*TensorType::get())) {
return std::make_shared<SimpleValue>(
g.insert(aten::select, {val, 0, idx}, {}, loc));
} else if (auto class_type = val_type->cast<ClassType>()) {
// Check if this is an indexing operation enabled by a type hint.
// The ModuleDict has already been checked during IR generation to make
// sure its contents implement the module interface referred to by
// type_hint.
if (class_type->is_module() && type_hint) {
auto res = g.insert(prim::ModuleContainerIndex, {val, idx}, {}, loc);
res->setType(type_hint);
return std::make_shared<SimpleValue>(res);
}
// Defer to the __getitem__ attr on the class.
return attr(loc, m, "__getitem__")->call(loc, m, {idx}, {}, 1);
} else {
throw ErrorReport(loc) << "'" << val_type->repr_str() << "'"
<< " object is not subscriptable";
}
}
SugaredValuePtr SimpleValue::iter(const SourceRange& loc, GraphFunction& m) {
auto value = getValue();
auto type = value->type();
// built-in iterable types
if (type->cast<ListType>() || type->cast<StringType>() ||
type->cast<TensorType>()) {
return std::make_shared<SimpleValue>(value);
}
// dicts iterate over keys
if (type->cast<DictType>()) {
return std::make_shared<SimpleValue>(
m.graph()->insert(aten::keys, {value}, {}, loc));
}
if (auto tup = type->cast<TupleType>()) {
auto tup_values = createTupleUnpack(value);
std::vector<SugaredValuePtr> tup_sugared;
for (Value* v : tup_values) {
tup_sugared.push_back(std::make_shared<SimpleValue>(v));
}
return std::make_shared<SugaredTupleValue>(tup_sugared);
} else {
throw ErrorReport(loc) << "'" << type->repr_str() << "'"
<< " object is not iterable";
}
}
RangeValue::RangeValue(
const SourceRange& loc,
GraphFunction& m,
std::vector<Value*> inputs,
c10::optional<int64_t> static_len) {
for (const auto i : c10::irange(inputs.size())) {
auto typ = inputs[i]->type();
if (!typ->cast<IntType>()) {
throw ErrorReport(loc)
<< "all inputs of range must be ints, found " << typ->repr_str()
<< " in argument " << c10::guts::to_string(i);
}
}
Graph& g = *m.graph();
if (inputs.size() == 0) {
throw ErrorReport(loc) << "range expected at least 1 arguments, got 0";
} else if (inputs.size() == 1) {
end_ = inputs[0];
start_ = g.insertConstant(0, loc);
step_ = g.insertConstant(1, loc);
// range() call only contains end, easier to calculate len() and getitem()
has_only_end_ = true;
} else if (inputs.size() <= 3) {
start_ = inputs[0];
end_ = inputs[1];
if (inputs.size() == 3) {
step_ = inputs[2];
} else {
step_ = g.insertConstant(1, loc);
}
has_only_end_ = false;
} else {
throw ErrorReport(loc) << "range expected at most 3 arguments, got "
<< inputs.size();
}
static_len_ = static_len;
}
SugaredValuePtr RangeValue::iter(const SourceRange& loc, GraphFunction& m) {
return shared_from_this();
};
Value* RangeValue::len(const SourceRange& loc, GraphFunction& m) {
if (static_len_) {
return insertConstant(*m.graph(), *static_len_, loc);
}
if (has_only_end_) {
return end_;
} else {
Graph& g = *m.graph();
return g.insert(aten::__range_length, {start_, end_, step_}, {}, loc);
}
}
SugaredValuePtr RangeValue::getitem(
const SourceRange& loc,
GraphFunction& m,
Value* idx,
TypePtr type_hint) {
if (has_only_end_) {
return std::make_shared<SimpleValue>(idx);
} else {
auto& g = *m.graph();
return std::make_shared<SimpleValue>(
g.insert(aten::__derive_index, {idx, start_, step_}, {}, loc));
}
}
std::vector<SugaredValuePtr> IterableTree::get_base_iterables() {
std::vector<SugaredValuePtr> base_iters{};
for (SugaredValuePtr& sv : children_) {
if (auto iv = std::dynamic_pointer_cast<IterableTree>(sv)) {
std::vector<SugaredValuePtr> child_iters = iv->get_base_iterables();
// merge child iters with the base_iters
base_iters.insert(
base_iters.end(),
std::make_move_iterator(child_iters.begin()),
std::make_move_iterator(child_iters.end()));
} else {
// IterableTree leaves, either SimpleValue or RangeValue
base_iters.emplace_back(sv);
}
}
return base_iters;
}
Value* IterableTree::len(const SourceRange& loc, GraphFunction& m) {
// if it's a iterable tree, we get the base iterables that consists of
// SimpleValue or RangeValue, and then calculate the minimum length of all the
// base iterables to be max_trip_count_val
TORCH_INTERNAL_ASSERT(!unroll_length_);
Graph& g = *m.graph();
std::vector<SugaredValuePtr> base_iters = get_base_iterables();
std::vector<Value*> lengths;
lengths.reserve(base_iters.size());
for (const SugaredValuePtr& base_iter : base_iters) {
lengths.emplace_back(base_iter->len(loc, m));
}
Node* list_node = g.insertNode(g.createList(IntType::get(), lengths));
return g.insert(prim::min, {list_node->output()}, {}, loc);
}
SugaredValuePtr IterableTree::getitem(
const SourceRange& loc,
GraphFunction& m,
Value* idx,
TypePtr type_hint) {
std::vector<SugaredValuePtr> child_items;
for (const SugaredValuePtr& child : children_) {
child_items.emplace_back(child->getitem(loc, m, idx));
}
return std::make_shared<SugaredTupleValue>(child_items);
}
void IterableTree::addChild(
const SourceRange& range,
GraphFunction& m,
const SugaredValuePtr& iter_value) {
c10::optional<int64_t> child_len = iter_value->staticLen();
if (children_.size() == 0) {
unroll_length_ = child_len;
} else {
if ((unroll_length_ && !child_len) || (child_len && !unroll_length_)) {
throw ErrorReport(range)
<< "Can not iterate over a module list or tuple with a value "
"that does not have a statically determinable length\n";
}
if (unroll_length_ && child_len) {
// iterables run for the minimum length of all its leaves
unroll_length_ = std::min(*child_len, *unroll_length_);
} else {
unroll_length_ = c10::nullopt;
}
}
children_.push_back(iter_value);
}
std::shared_ptr<SugaredValue> MagicMethod::call(
const SourceRange& loc,
GraphFunction& m,
at::ArrayRef<NamedValue> args,
at::ArrayRef<NamedValue> kwargs,
size_t n_binders) {
if (args.size() > 0) {
Value* self = args[0].value(*m.graph());
if (auto class_ptr = self->type()->cast<ClassType>()) {
return SimpleValue(self)
.attr(loc, m, desugared_name_)
->call(loc, m, args.slice(1), kwargs, n_binders);
}
}
TORCH_INTERNAL_ASSERT(base_value_);
return base_value_->call(loc, m, args, kwargs, n_binders);
}
std::shared_ptr<SugaredValue> ClassValue::call(
const SourceRange& loc,
GraphFunction& m,
// note: names for args will be 'argument 0', 'argument 1', etc..
at::ArrayRef<NamedValue> args,
at::ArrayRef<NamedValue> kwargs,
size_t n_binders) {
AT_ASSERT(n_binders <= 1);
// Generate a new object of the right type, then call `__init__` on it
auto& g = *m.graph();
auto self = g.insertNode(g.createObject(type_))->output();
self->node()->setSourceRange(loc);
if (!type_->findMethod("__init__")) {
throw ErrorReport(loc) << "Class " << type_->name()->name()
<< " does not have an __init__ function defined";
}
// Call the init function
MethodValue(self, "__init__").call(loc, m, args, kwargs, n_binders);
return std::make_shared<SimpleValue>(self);
}
std::shared_ptr<SugaredValue> ClassValue::attr(
const SourceRange& loc,
GraphFunction& m,
const std::string& field) {
// Allow import_source.cpp to resolve calls to a submodule's
// hooks. Edge case because normally you wouldn't allow a module to
// call functions of a submodule
if (Function* hook = type_->findHook(field)) {
return std::make_shared<FunctionValue>(hook);
}
if (field != "__new__") {
throw ErrorReport(loc) << "Tried to lookup unknown attribute on class "
<< type_->annotation_str();
}
return SpecialFormValue::create(prim::CreateObject);
}
std::shared_ptr<SugaredValue> NamedTupleConstructor::call(
const SourceRange& loc,
GraphFunction& m,
at::ArrayRef<NamedValue> args,
at::ArrayRef<NamedValue> kwargs,
size_t n_binders) {
auto& g = *m.graph();
auto schema = type_->schema();
TORCH_INTERNAL_ASSERT(schema);
auto qualname = type_->name();
auto matched_schema = matchSchema(*schema, loc, g, args, kwargs);
auto self =
g.insertNode(
g.createTuple(matched_schema.inputs, type_)->setSourceRange(loc))
->output();
self->setType(type_);
return std::make_shared<SimpleValue>(self);
}
std::shared_ptr<BuiltinFunction> BuiltinFunction::tryCreate(
Symbol symbol,
c10::optional<NamedValue> self) {
for (const std::shared_ptr<Operator>& op : getAllOperatorsFor(symbol)) {
if (!self) {
return std::make_shared<BuiltinFunction>(symbol, nullptr);
}
if (auto index = op->schema().argumentIndexWithName("self")) {
std::unordered_map<std::string, TypePtr> type_env;
TypePtr formal_type = op->schema().arguments().at(*index).type();
const MatchTypeReturn matched =
matchTypeVariables(formal_type, self->type(), type_env);
if (!matched.success()) {
continue;
}
const auto concrete_type = tryEvalTypeVariables(formal_type, type_env);
if (!concrete_type || !self->type()->isSubtypeOf(*concrete_type)) {
continue;
}
return std::make_shared<BuiltinFunction>(symbol, self);
}
}
return nullptr;
}
std::shared_ptr<SugaredValue> SugaredEnumClass::attr(
const SourceRange& loc,
GraphFunction& m,
const std::string& field) {
const auto& names_values = enum_type_->enumNamesValues();
auto it = std::find_if(
names_values.begin(),
names_values.end(),
[&field](const at::EnumNameValue& nv) { return nv.first == field; });
if (it == names_values.end()) {
throw ErrorReport(loc) << enum_type_->repr_str() << "'"
<< " has no attribute '" << field << "'";
}
auto enum_holder = c10::make_intrusive<at::ivalue::EnumHolder>(
enum_type_, it->first, it->second);
return std::make_shared<SimpleValue>(
m.graph()->insertConstant(IValue(enum_holder), loc));
}
SugaredValuePtr SugaredEnumClass::iter(
const SourceRange& loc,
GraphFunction& m) {
const auto& names_values = enum_type_->enumNamesValues();
auto enum_value_ivalues = c10::impl::GenericList(enum_type_);
enum_value_ivalues.reserve(names_values.size());
for (const auto& name_value : names_values) {
auto enum_holder = c10::make_intrusive<at::ivalue::EnumHolder>(
enum_type_, name_value.first, name_value.second);
enum_value_ivalues.emplace_back(enum_holder);
}
auto enum_values_list_constant = std::make_shared<SimpleValue>(
m.graph()->insertConstant(enum_value_ivalues, loc));
return enum_values_list_constant;
}
} // namespace jit
} // namespace torch
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