Method emitApplySpecialForm

source/python.js:17433–17540

(form, apply, sv, type_hint)

                return attributes.map((attr) => new torch._C.NamedValue(attr.range(), attr.arg, this.emitExpr(attr.value)));
            }
            emitApplySpecialForm(form, apply, sv, type_hint) {
                switch (form) {
                    case 'prim::fork': {
                        throw new python.Error('Not implemented.');
                    }
                    case 'prim::awaitable': {
                        throw new python.Error('Not implemented.');
                    }
                    case 'prim::annotate': {
                        this.checkApplyNumInputs(apply, 2);
                        const type = this._typeParser.parseTypeFromExpr(apply.args[0]);
                        let expr = torch._C.tryConvertToType(apply.range(), this.graph, type, this.emitExpr(apply.args[1], type), /*allow_conversions=*/true);
                        if (!expr.type().isSubtypeOf(type)) {
                            throw new python.Error('Invalid expression type.');
                        }
                        if ((type instanceof torch.OptionalType || (type instanceof torch.UnionType && type.expect(torch.UnionType).canHoldType(torch.NoneType.get()))) && expr.type().isSubtypeOf(torch.NoneType.get())) {
                            const none = this.graph.createNone();
                            none.output().setType(type);
                            this.graph.insertNode(none);
                            expr = none.output();
                        }
                        return new torch._C.SimpleValue(expr);
                    }
                    case 'prim::unchecked_cast': {
                        this.checkApplyNumInputs(apply, 2);
                        const type = this._typeParser.parseTypeFromExpr(apply.args[0]);
                        let v = this.emitExpr(apply.args[1]);
                        if (v.node().kind() !== 'prim::unchecked_cast' || v.type() !== type) {
                            v = this.graph.insertUncheckedCast(v, type);
                        }
                        return new torch._C.SimpleValue(v);
                    }
                    case 'prim::GetAttr': {
                        this.checkApplyNumInputsRange(apply, 2, 3);
                        const obj = this.emitSugaredExpr(apply.args[0], 1);
                        if (apply.args[1] instanceof ast.Constant === false || typeof apply.args[1].value !== 'string') {
                            throw new python.Error('Invalid argument.');
                        }
                        const name = apply.args[1].value;
                        if (apply.args.length === 2) {
                            return obj.attr(apply, this.method, name);
                        } else if (obj.hasAttr(apply, this.method, name)) {
                            return obj.attr(apply, this.method, name);
                        }
                        return this.emitSugaredExpr(apply.inputs()[2], 1);
                    }
                    case 'prim::Uninitialized': {
                        this.checkApplyNumInputs(apply, 1);
                        const type = this._typeParser.parseTypeFromExpr(apply.args[0]);
                        const out = this.graph.insertNode(this.graph.createUninitialized(type)).setSourceRange(apply.range());
                        return new torch._C.SimpleValue(out.output());
                    }
                    case 'prim::TupleConstruct': {
                        throw new python.Error('Not implemented.');
                    }
                    case 'prim::isinstance': {
                        this.checkApplyNumInputs(apply, 2);
                        const result = this.emitIsInstance(apply.args[0], apply.args[1]);