Method emitLoopCommon

source/python.js:16796–16844

(range, emit_body, iter_val, targets, cond)

                }
            }
            emitLoopCommon(range, emit_body, iter_val, targets, cond) {
                let max_trip_count_val = null;
                if (iter_val === null) {
                    max_trip_count_val = torch._C.materializeConstant(Number.MAX_SAFE_INTEGER /*std::numeric_limits<int64_t>::max()*/, this.graph, range, this.integral_constants);
                } else {
                    max_trip_count_val = iter_val.len(range, this.method);
                }
                const n = this.graph.insertNode(this.create('prim::Loop', range, 0));
                const body_block = n.addBlock();
                {
                    const condition_block = n.addBlock();
                    this.pushFrame(condition_block);
                    let out = null;
                    if (cond) {
                        const insert = new torch._C.WithInsertPoint(condition_block);
                        out = this.emitToBool(cond.range(), this.emitExpr(cond));
                        insert.dispose();
                    } else {
                        const insert = new torch._C.WithInsertPoint(n);
                        out = this.graph.insertConstant(true, range);
                        insert.dispose();
                    }
                    condition_block.registerOutput(out);
                    this.popFrame();
                }
                n.addInput(max_trip_count_val);
                const loop_guard = new torch._C.WithLoopStatus(this, 'IN_LOOP');
                const trip_count = body_block.addInput().setType(torch.IntType.get());
                {
                    this.pushFrame(body_block);
                    const guard = new torch._C.WithInsertPoint(body_block);
                    if (iter_val !== null && targets) {
                        const cur_elem = iter_val.getitem(range, this.method, trip_count).asValue(range, this.method);
                        const sv = new torch._C.SimpleValue(cur_elem);
                        const target_exprs = targets;
                        this.validateAssignLhsExpr(target_exprs, range);
                        if (target_exprs.length > 1) {
                            throw new python.Error('Not implemented.');
                            // const tl = torch.TupleLiteral.create(range, target_exprs);
                            // target_exprs = ListExpr.create(range, [tl]);
                        }
                        this.emitExprsAssign(target_exprs, [sv], range, /*n_binders=*/1);
                    }
                    emit_body();
                    this.popFrame();
                    guard.dispose();
                }
                loop_guard.dispose();
            }
            emitFor(...args) {
                if (args.length === 1 && args[0] instanceof ast.For) {
                    const [stmt] = args;