| #include <torch/csrc/jit/ir/constants.h> |
| #include <ATen/core/functional.h> |
| #include <torch/csrc/autograd/variable.h> |
| #include <torch/csrc/jit/runtime/custom_operator.h> |
| #include <torch/csrc/jit/ir/ir.h> |
| #include <torch/csrc/jit/runtime/operator.h> |
| |
| namespace torch { |
| namespace jit { |
| |
| namespace { |
| c10::OperatorOptions aliasAnalysisInternalSpecialCase() { |
| c10::OperatorOptions options; |
| options.setAliasAnalysis(AliasAnalysisKind::INTERNAL_SPECIAL_CASE); |
| return options; |
| } |
| } // namespace |
| |
| bool insertableTensor(const at::Tensor& ten) { |
| return !ten.requires_grad(); |
| } |
| |
| bool insertableIValue(const IValue& ivalue) { |
| if (ivalue.isInt() || ivalue.isNone() || ivalue.isBool() || |
| ivalue.isDouble() || ivalue.isString() || ivalue.isDevice()) { |
| return true; |
| } |
| if (ivalue.isTensor()) { |
| return insertableTensor(ivalue.toTensor()); |
| } |
| if (ivalue.isList() || ivalue.isTuple()) { |
| c10::ArrayRef<IValue> elems; |
| if (ivalue.isTuple()) { |
| elems = ivalue.toTuple()->elements(); |
| } else { |
| elems = ivalue.toListRef(); |
| } |
| return std::all_of(elems.begin(), elems.end(), [](const IValue& tup_elem) { |
| return insertableIValue(tup_elem); |
| }); |
| } |
| return false; |
| } |
| |
| Value* insertConstant( |
| Graph& g, |
| const IValue& val, |
| c10::optional<SourceRange> loc, |
| c10::optional<ScopePtr> scope) { |
| auto value = tryInsertConstant(g, val, loc, scope); |
| if (value) { |
| return *value; |
| } |
| throw constant_not_supported_error( |
| "Unsupported value kind: " + val.tagKind()); |
| } |
| |
| // IValue -> Constant node |
| c10::optional<Value*> tryInsertConstant( |
| Graph& g, |
| const IValue& val, |
| c10::optional<SourceRange> loc, |
| c10::optional<ScopePtr> scope) { |
| Node* n = g.create(prim::Constant); |
| if (val.isTensor()) { |
| at::Tensor ref = val.toTensor(); |
| if (!ref.defined()) { |
| n->destroy(); |
| return g.insertNode(g.createNone())->output(); |
| } |
| TORCH_INTERNAL_ASSERT(!ref.requires_grad()); |
| n->output()->inferTypeFrom( |
| ref); // note: before t_ because of std::move(ref) |
| n->t_(attr::value, std::move(ref)); |
| } else if (val.isInt()) { |
| n->i_(attr::value, val.toInt()); |
| n->output()->setType(IntType::get()); |
| } else if (val.isDouble()) { |
| n->f_(attr::value, val.toDouble()); |
| n->output()->setType(FloatType::get()); |
| } else if (val.isBool()) { |
| n->i_(attr::value, val.toBool()); |
| n->output()->setType(BoolType::get()); |
| } else if (val.isBoolList()) { |
| auto bool_list = val.toBoolList(); |
| n->is_( |
| attr::value, std::vector<int64_t>(bool_list.begin(), bool_list.end())); |
| n->output()->setType(ListType::ofBools()); |
| } else if (val.isIntList()) { |
| n->is_(attr::value, val.toIntVector()); |
| n->output()->setType(ListType::ofInts()); |
| } else if (val.isTensorList()) { |
| n->ts_( |
| attr::value, |
| fmap(val.toTensorVector(), [](const at::Tensor& t) { |
| AT_ASSERT(!t.requires_grad()); |
| return t; |
| })); |
| n->output()->setType(ListType::ofTensors()); |
| } else if (val.isDoubleList()) { |
| auto double_list = val.toDoubleList(); |
| n->fs_( |
| attr::value, |
| std::vector<double>(double_list.begin(), double_list.end())); |
| n->output()->setType(ListType::ofFloats()); |
| } else if (val.isString()) { |
| n->s_(attr::value, val.toString()->string()); |
| n->output()->setType(StringType::get()); |
| } else if (val.type()->isSubtypeOf(ListType::ofStrings())) { |
| std::vector<std::string> ss; |
| auto generic_list = val.toListRef(); |
| for (const IValue& ival : generic_list) { |
| ss.push_back(ival.toStringRef()); |
| } |
| n->ss_(attr::value, ss); |
| n->output()->setType(ListType::create(StringType::get())); |
| } else if (val.isDevice()) { |
| std::stringstream ss; |
| ss << val.toDevice(); |
| n->s_(attr::value, ss.str()); |
| n->output()->setType(DeviceObjType::get()); |
| } else if (val.isNone()) { |
| n->output()->setType(NoneType::get()); |
| } else if (val.isTuple()) { |
| if (insertableIValue(val)) { |
| n->ival_(attr::value, val); |
| n->output()->setType(val.type()); |
| } else { |
| n->destroy(); |
| return c10::nullopt; |
| }; |
| } else { |
| n->destroy(); |
| return c10::nullopt; |
| } |
| if (loc) |
| n->setSourceRange(*loc); |
| if (scope) |
| n->setScope(*scope); |
| return g.insertNode(n)->output(); |
| } |
| |
| c10::optional<IValue> toIValue(const Value* v) { |
| if (v->node()->kind() != prim::Constant || v->type()->cast<FunctionType>()) { |
| return c10::nullopt; |
| } |
| const Node* node = v->node(); |
| const TypePtr& type = v->type(); |
| if (type->isSubtypeOf(TensorType::get())) { |
| return node->t(attr::value); |
| } else if (type->isSubtypeOf(BoolType::get())) { |
| return (bool) node->i(attr::value); |
| } else if ( |
| type->isSubtypeOf(NumberType::get()) && |
| node->kindOf(attr::value) == AttributeKind::i) { |
| return node->i(attr::value); |
| } else if ( |
| type->isSubtypeOf(NumberType::get()) && |
| node->kindOf(attr::value) == AttributeKind::f) { |
| return node->f(attr::value); |
| } else if ( |
| type->cast<TupleType>() && |
| node->kindOf(attr::value) == AttributeKind::ival) { |
| const auto& tup = node->ival(attr::value); |
| TORCH_INTERNAL_ASSERT(tup.isTuple()); |
| return tup; |
| } else if (type->isSubtypeOf(ListType::ofInts())) { |
| const auto& is = node->is(attr::value); |
| return is; |
| } else if (type->isSubtypeOf(ListType::ofFloats())) { |
| const auto& fs = node->fs(attr::value); |
| return fs; |
| } else if (type->isSubtypeOf(ListType::ofBools())) { |
| const auto bs = fmap<bool>(node->is(attr::value)); |
| return bs; |
| } else if (type->isSubtypeOf(ListType::ofTensors())) { |
| const auto& ts = node->ts(attr::value); |
| return ts; |
| } else if (type->isSubtypeOf(ListType::ofStrings())) { |
| const auto& ss = node->ss(attr::value); |
| auto vals = c10::impl::GenericList(StringType::get()); |
| for (const auto& str : ss) { |
| vals.push_back(str); |
| } |
| return vals; |
| } else if (type == StringType::get()) { |
| const auto& s = node->s(attr::value); |
| return s; |
| } else if (type == DeviceObjType::get()) { |
| auto d = c10::Device(node->s(attr::value)); |
| return d; |
| } else if (node->mustBeNone()) { |
| return IValue(); |
| } else { |
| std::stringstream ss; |
| ss << "constant literal not supported for: " << type->str(); |
| throw std::runtime_error(ss.str()); |
| } |
| } |
| |
| } // namespace jit |
| } // namespace torch |