v2.1.1 (1) support custom_json (2) add visualize_cgmap

README.md

@@ -110,6 +110,12 @@ Suppose there is a LEF/DEF benchmark named `toy` in `data/raw`, you can use the
 python main.py --custom_path lef:data/raw/toy_input.lef,def:data/raw/toy_input.def,design_name:toy,benchmark:test --load_from_raw True --detail_placement True
 ```
 
+You can also use the argument `--custom_json` to run multiple LEFs + DEF:
+```
+python main.py --custom_json examples/examples.json --load_from_raw True --target_density 0.9
+```
+Please provide your LEFs/DEF in the input `json` file. An example of [ASAP7](https://github.com/The-OpenROAD-Project/asap7) input is given in `./examples/examples.json`.
+
 
 ## Load design from preprocessed `pt` file (Optional)
 The following script will dump the parsed design into a single torch `pt` file so Xplace can load the design from the `pt` file instead of parsing the input file from scratch. 

cpp_to_py/common/db/Database.cpp

@@ -32,6 +32,11 @@ void Database::load() {
         setting.Format = "lefdef";
         readLEF(setting.LefTech);
         readLEF(setting.LefCell);
+    } else if (setting.LefFiles.size() > 0) {
+        setting.Format = "lefdef";
+        for (auto lef : setting.LefFiles) {
+            readLEF(lef);
+        }
     }
 
     if (setting.DefFile != "") {

cpp_to_py/common/db/Layer.h

@@ -70,8 +70,8 @@ public:
     vector<int> parWidth;
     vector<vector<int>> parWidthSpace; // 2D table: (parWidth, parLength) -> widthSpacing
 
-    Track track;
+    vector<Track> tracks;
-    Track nonPreferDirTrack;
+    vector<Track> nonPreferDirTracks;
 
     Layer(const string& name = "", const char type = 'x') : _name(name), _type(type) {}
 

cpp_to_py/common/db/Setting.cpp

@@ -10,6 +10,7 @@ void Setting::reset() {
     LefFile = "";
     LefCell = "";
     LefTech = "";
+    LefFiles.clear();
     Constraints = "";
     Verilog = "";
     OutputFile = "";

cpp_to_py/common/db/Setting.h

@@ -27,6 +27,7 @@ public:
     std::string LefFile = "";
     std::string LefCell = "";
     std::string LefTech = "";
+    std::vector<std::string> LefFiles;
 
     std::string Constraints = "";
     std::string Verilog = "";

cpp_to_py/common/io/file_bkshf_db.cpp

@@ -490,10 +490,10 @@ bool Database::readBSAux(const std::string& auxFile, const std::string& plFile)
         // } else if (i % 2) {
         if (i % 2) {
             layer.direction = m2direction;
-            layer.track.direction = m2direction;
+            // layer.track.direction = m2direction;
         } else {
             layer.direction = m1direction;
-            layer.track.direction = m1direction;
+            // layer.track.direction = m1direction;
         }
         if (isDac2012) {
             layer.width = bsData.wireWidth[i];

cpp_to_py/common/io/file_lefdef_db.cpp

@@ -1325,11 +1325,11 @@ int readDefTrack(defrCallbackType_e c, defiTrack* dtrack, defiUserData ud) {
         Layer* layer = db->getLayer(layername);
         if (layer) {
             if (track->direction == 'x' || layer->direction == 'x') {
-                layer->track = *track;
+                layer->tracks.push_back(*track);
             } else if (layer->direction == track->direction) {
-                layer->track = *track;
+                layer->tracks.push_back(*track);
             } else if (layer->direction != track->direction) {
-                layer->nonPreferDirTrack = *track;
+                layer->nonPreferDirTracks.push_back(*track);
             } else {
                 logger.error("wrong definition of tracks for layer %s", layername.c_str());
             }

cpp_to_py/draw_placement/Drawer.cpp

@@ -101,8 +101,10 @@ bool Drawer::run(const std::vector<double>& node_pos_x,   // after die scale
                  const std::tuple<double, double, double, double>& die_info,  // after die scale
                  const std::tuple<double, double>& site_info,
                  const std::tuple<double, double>& bin_size_info,  // after die scale
-                 std::vector<std::tuple<index_type, index_type, std::string>> node_types_indices) {
+                 std::vector<std::tuple<index_type, index_type, std::string>> node_types_indices,
+                 const std::vector<int>& node_special_type) {
     // init cairo
+    bool special_cell = !node_special_type.empty();
     cairo_surface_t* cs;
     if (format == "png") {
         cs = cairo_image_surface_create(CAIRO_FORMAT_ARGB32, width, height);
@@ -190,7 +192,19 @@ bool Drawer::run(const std::vector<double>& node_pos_x,   // after die scale
                 double node_lx = node_pos_x[i] - node_size_x[i] / 2;
                 double node_ly = node_pos_y[i] - node_size_y[i] / 2;
                 cairo_rectangle(c, node_lx, node_ly, node_size_x[i], node_size_y[i]);
-                set_rgba(node_type);
+                if (special_cell && i < node_special_type.size() && node_special_type[i] > 0){
+                    switch (node_special_type[i]) {
+                        case 1:
+                            set_rgba("Buffer");
+                            break;
+                        case 2:
+                            set_rgba("FF");
+                            break;
+                        default:
+                            set_rgba(node_type);
+                            break;
+                    }
+                } else set_rgba(node_type);
                 cairo_fill(c);
                 if (draw_node_bd) {
                     cairo_rectangle(c, node_lx, node_ly, node_size_x[i], node_size_y[i]);

cpp_to_py/draw_placement/Drawer.h

@@ -23,5 +23,6 @@ public:
              const std::tuple<double, double, double, double>& die_info,
              const std::tuple<double, double>& site_info,
              const std::tuple<double, double>& bin_size_info,
-             std::vector<std::tuple<index_type, index_type, std::string>> node_types_indices);
+             std::vector<std::tuple<index_type, index_type, std::string>> node_types_indices,
+             const std::vector<int>& node_special_type);
 };

cpp_to_py/draw_placement/draw_placement.cpp

@@ -11,6 +11,7 @@ bool DrawGlobalPlacement(
     const std::tuple<double, double>& bin_size_info,
     const std::vector<std::tuple<index_type, index_type, std::string>>& node_types_indices,
     const std::vector<std::tuple<std::string, double, double, double, double>>& ele_type_to_rgba_vec,
+    const std::vector<int>& node_special_type,
     const std::string& filename,
     double width,
     double height,
@@ -25,8 +26,8 @@ bool DrawGlobalPlacement(
                die_info,
                site_info,
                bin_size_info,
-               node_types_indices);
+               node_types_indices,
+               node_special_type);
     return status;
 }
-
 PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) { m.def("draw", &DrawGlobalPlacement, "Draw placement results"); }

cpp_to_py/gpugr/db/GRDatabase.cpp

@@ -15,7 +15,7 @@ GRDatabase::GRDatabase(std::shared_ptr<db::Database> rawdb_, std::shared_ptr<gp:
     } else {
         csrnScale = grSetting.csrnScale;
     }
-    if (db::setting.BookshelfVariety != "" || db::setting.LefFile == "") {
+    if (db::setting.BookshelfVariety != "" || db::setting.Format != "lefdef") {
         // NOTE: GGR is a LEFDEF based detailed-routability driven global placer and it is not
         //       designed for the old bookshelf designs. For bookshelf, please consider to use
         //       NCTU-GR to generate the routing congestion maps. Note that existing bookshelf
@@ -33,10 +33,13 @@ GRDatabase::GRDatabase(std::shared_ptr<db::Database> rawdb_, std::shared_ptr<gp:
         auto rLayer = rawdb.getRLayer(l);
         layerWidth[l] = rLayer->width;
         layerPitch[l] = rLayer->pitch;
-        db::Track& track = rLayer->track;
+        for (auto& track : rLayer->tracks) {
-        for (int i = 0; i < track.num; i++) {
+            for (int i = 0; i < track.num; i++) {
-            tracks[l].emplace_back(i * track.step + track.start);
+                tracks[l].emplace_back(i * track.step + track.start);
+            }
         }
+        sort(tracks[l].begin(), tracks[l].end());
+        tracks[l].erase(unique(tracks[l].begin(), tracks[l].end()), tracks[l].end());
     }
     m1direction = rawdb.getRLayer(0)->direction == 'v' ? 1 : 0;
     microns = rawdb.LefConvertFactor;
@@ -448,11 +451,11 @@ utils::PointT<int> GRDatabase::getObsMargin(RectOnLayer box, AggrParaRunSpace ag
 
 utils::IntervalT<int> GRDatabase::rangeSearchTracks(const utils::IntervalT<int>& locRange, int layerIdx) {
     auto& t = tracks[layerIdx];
-    int lpos = locRange.low / layerPitch[layerIdx];
+    int lpos = lower_bound(t.begin(), t.end(), locRange.low) - t.begin();
-    while (lpos + 1 < t.size() && t[lpos] < locRange.low) lpos++;
+    lpos = std::min(static_cast<int>(t.size()) - 1, lpos);
     while (lpos > 0 && t[lpos - 1] >= locRange.low) lpos--;
-    int hpos = locRange.high / layerPitch[layerIdx];
+    int hpos = upper_bound(t.begin(), t.end(), locRange.high) - t.begin() - 1;
-    while (hpos > 0 && t[hpos] > locRange.high) hpos--;
+    hpos = std::max(hpos, 0);
     return utils::IntervalT<int>(lpos, hpos);
 }
 
@@ -480,9 +483,9 @@ void GRDatabase::markObs(std::vector<RectOnLayer>& allObs,
         vector<vector<vector<std::pair<utils::IntervalT<int>, int>>>> markingBufferLUT;
 
         auto searchLowerBoundTrack = [&](int p) {
-            int pos = p / layerPitch[l];
+            int pos = lower_bound(t.begin(), t.end(), p) - t.begin();
-            while (pos + 1 < t.size() && t[pos] < p) pos++;
+            pos = std::min(static_cast<int>(t.size()) - 1, pos);
-            while (pos && t[pos - 1] >= p) pos--;
+            while (pos > 0 && t[pos - 1] >= p) pos--;
             return pos;
         };
 
@@ -561,12 +564,12 @@ void GRDatabase::markObs(std::vector<RectOnLayer>& allObs,
         }
 
         for (int i = 0; i < markingBufferLUT.size(); i++) {
+            utils::IntervalT<int> gridTrackIntvl;
+            gridTrackIntvl.low = searchLowerBoundTrack(gridlines[1 - dir][i]);
+            gridTrackIntvl.high = searchLowerBoundTrack(gridlines[1 - dir][i + 1]) - 1;
             for (int j = 0; j < markingBufferLUT[i].size(); j++) {
                 if (markingBufferLUT[i][j].size() == 0) continue;
                 const auto& buf = markingBufferLUT[i][j];
-                utils::IntervalT<int> gridTrackIntvl;
-                gridTrackIntvl.low = searchLowerBoundTrack(gridlines[1 - dir][i]);
-                gridTrackIntvl.high = searchLowerBoundTrack(gridlines[1 - dir][i + 1]) - 1;
                 vector<int> trackBlocked(gridTrackIntvl.range() + 1, 0);  // blocked track length
                 for (auto& pair : buf) {
                     for (int k = pair.first.low; k <= pair.first.high; k++) {

cpp_to_py/io_parser/BindHelper.cpp

@@ -55,6 +55,7 @@ void bindGPDatabase(pybind11::module& m) {
         .def("m1direction", &gp::GPDatabase::getM1Direction, py::return_value_policy::copy)
         .def("node_type_indices", &gp::GPDatabase::getNodeTypeIndices, py::return_value_policy::copy)
         .def("node_id2node_name", &gp::GPDatabase::getNodeId2NodeName, py::return_value_policy::copy)
+        .def("node_id2celltype_name", &gp::GPDatabase::getNodeId2CellTypeName, py::return_value_policy::copy)
         .def("node_lpos_tensor", &gp::GPDatabase::getNodeLPosTensor, py::return_value_policy::move)
         .def("node_cpos_tensor", &gp::GPDatabase::getNodeCPosTensor, py::return_value_policy::move)
         .def("node_size_tensor", &gp::GPDatabase::getNodeSizeTensor, py::return_value_policy::move)

cpp_to_py/io_parser/PyBindCppMain.cpp

@@ -27,6 +27,11 @@ bool loadParams(const py::dict& kwargs) {
     } else if (kwargs.contains("cell_lef") && kwargs.contains("tech_lef")) {
         db::setting.LefCell = kwargs["cell_lef"].cast<std::string>();
         db::setting.LefTech = kwargs["tech_lef"].cast<std::string>();
+    } else if (kwargs.contains("lefs")) {
+        for (auto lef_py : kwargs["lefs"]) {
+            auto lef = lef_py.cast<std::string>();
+            db::setting.LefFiles.emplace_back(lef);
+        }   
     }
 
     if (kwargs.contains("constraints")) {

cpp_to_py/io_parser/gp/GPDatabase.cpp

@@ -21,6 +21,9 @@ void GPDatabase::addCellNode(index_type cell_id, std::string& node_type) {
     node.setRegionId(static_cast<index_type>(cell->region->id));
     regions[node.getRegionId()].addNode(node.getId());
 
+    std::string celltype_name_ = cell->ctype()->cls + "/" + cell->ctype()->name;
+    node.setCellTypeName(celltype_name_);
+
     if (cell->fixed() && cell->ctype()->nonRegularRects().size() > 0) {
         node.setIsPolygonShape(true);
     }
@@ -41,6 +44,8 @@ void GPDatabase::addIOPinNode(index_type iopin_id, std::string& node_type) {
     node.setNodeType(node_type);
     node.setOriDBId(iopin_id);
 
+    node.setCellTypeName(iopin->name);
+
     iopin->gpdb_id = nodes.size() - 1;
 }
 
@@ -58,6 +63,8 @@ void GPDatabase::addBlockageNode(index_type blkg_id, std::string& node_type) {
     node.setOrient(-1);  // No orientation for placement blockage
     node.setNodeType(node_type);
     node.setOriDBId(blkg_id);
+
+    node.setCellTypeName(blockage_name);
 }
 
 void GPDatabase::addNet(index_type dbnet_id) {
@@ -270,6 +277,7 @@ void GPDatabase::setupIndexMap() {
     }
     for (auto& node : nodes) {
         node_id2node_name.emplace_back(node.getName());
+        node_id2celltype_name.emplace_back(node.getCellTypeName());
     }
 }
 

cpp_to_py/io_parser/gp/GPDatabase.h

@@ -42,6 +42,8 @@ public:
     const std::string& getNodeType() const { return node_type; }
     void setOriDBId(const index_type& ori_db_id_) { ori_db_id = ori_db_id_; }
     const index_type& getOriDBId() const { return ori_db_id; }
+    void setCellTypeName(const std::string& celltype_name_) { celltype_name = celltype_name_; }
+    const std::string& getCellTypeName() const { return celltype_name; }
     void setRegionId(const index_type& region_id_) { region_id = region_id_; }
     const index_type& getRegionId() const { return region_id; }
 
@@ -62,6 +64,7 @@ protected:
     index_type region_id = -1;  // no region, we should ignore fixed nodes' fence region
     std::vector<index_type> pins_id;
     bool isPolygonShape = false;
+    std::string celltype_name = ""; // CORE/DFF*, BLOCK/RAM*, IOPIN/PinName
 };
 
 class GPPin : public Basic {
@@ -161,6 +164,7 @@ protected:
 
     std::vector<std::tuple<index_type, index_type, std::string>> node_types_indices;  // (start_idx, end_idx, type)
     std::vector<std::string> node_id2node_name;
+    std::vector<std::string> node_id2celltype_name;
 
     std::vector<index_type> pin_id2node_id;  // pin_id to node_id mapping
     std::vector<index_type> pin_id2net_id;   // pin_id to net_id mapping
@@ -199,6 +203,7 @@ public:
         return node_types_indices;
     }
     const std::vector<std::string>& getNodeId2NodeName() const { return node_id2node_name; }
+    const std::vector<std::string>& getNodeId2CellTypeName() const { return node_id2celltype_name; }
 
     const std::tuple<int, int, int, int>& getDieInfo() const { return dieInfo; }
     const std::tuple<int, int, int, int>& getCoreInfo() const { return coreInfo; }

examples/examples.json

@@ -0,0 +1,11 @@
+{
+    "benchmark": "custom_asap7",
+    "design_name": "top",
+    "lefs": [
+        "/PDK/asap7/lef/asap7_tech_1x_201209.lef",
+        "/PDK/asap7/lef/asap7sc7p5t_28_L_1x_220121a.lef",
+        "/PDK/asap7/lef/asap7sc7p5t_28_R_1x_220121a.lef",
+        "/PDK/asap7/lef/asap7sc7p5t_28_SL_1x_220121a.lef"
+    ],
+    "def": "/designs/top/def/top.def"
+}

main.py

@@ -8,6 +8,7 @@ def get_option():
     parser.add_argument('--dataset', type=str, default='ispd2015_fix', help='dataset name')
     parser.add_argument('--design_name', type=str, default='mgc_superblue12', help='design name')
     parser.add_argument('--custom_path', type=str, default='', help='custom design path, set it as token1:path1,token2:path2 e.g. lef:data/test.lef,def:data/test.def,design_name:mydesign,benchmark:mybenchmark')
+    parser.add_argument('--custom_json', type=str, default='', help='custom json path, support multi-lefs.')
     parser.add_argument('--load_from_raw', type=str2bool, default=True, help='If True, parse and load from benchmark files. If False, load from pt')
     parser.add_argument('--run_all', type=str2bool, default=False, help='If True, run all designs in the given dataset. If False, run the given design_name only.')
     parser.add_argument('--seed', type=int, default=0, help='seed to initialize all the random modules')
@@ -46,6 +47,7 @@ def get_option():
     parser.add_argument('--route_weight', type=float, default=0, help='the weight of route')
     parser.add_argument('--congest_weight', type=float, default=0, help='the weight of congested force')
     parser.add_argument('--pseudo_weight', type=float, default=0, help='the weight of pseudo net')
+    parser.add_argument('--visualize_cgmap', type=str2bool, default=False, help='visualize congestion map')
 
     # detailed placement and evaluation
     parser.add_argument('--detail_placement', type=str2bool, default=True, help='perform dp') 

src/database.py

@@ -9,6 +9,9 @@ def load_dataset(args, logger, placement=None):
     rawdb, gpdb = None, None
     if args.custom_path != "":
         params = get_custom_design_params(args)
+    elif args.custom_json != "":
+        logger.info("Detect json mode. Please make sure that tech_lef are included first.")
+        params = get_custom_json_params(args)
     else:
         params = get_single_design_params(
             args.dataset_root, args.dataset, args.design_name, placement
@@ -80,6 +83,7 @@ class PlaceData(object):
         site_info=None,
         node_type_indices=None,
         node_id2node_name=None,
+        node_id2celltype_name=None,
         movable_index=None,
         connected_index=None,
         fixed_index=None,
@@ -112,6 +116,15 @@ class PlaceData(object):
         self.region_boxes = region_boxes
         self.region_boxes_end = region_boxes_end
 
+        # TODO: more cases?
+        self.node_special_type = torch.zeros(len(node_id2celltype_name), dtype=torch.int32)
+        if False:
+            for node_id, celltype_name in enumerate(node_id2celltype_name):
+                if celltype_name.startswith("CORE/BUF"):
+                    self.node_special_type[node_id] = 1
+                if celltype_name.startswith("CORE/DFF"):
+                    self.node_special_type[node_id] = 2
+
         dataset_format = ""
         if "aux" in dataset_path.keys():
             dataset_format = "bookshelf"
@@ -122,6 +135,7 @@ class PlaceData(object):
         self.__design_name__ = benchmark + "/" + dataset_path["design_name"]
 
         self.__node_id2node_name__ = node_id2node_name
+        self.__node_id2celltype_name__ = node_id2celltype_name
 
         # NOTE: we set float movable node as connected node for convenience purposes
         self.__node_type_indices__ = node_type_indices
@@ -196,6 +210,11 @@ class PlaceData(object):
         if hasattr(self, "__node_id2node_name__"):
             return self.__node_id2node_name__
 
+    @property
+    def node_id2celltype_name(self):
+        if hasattr(self, "__node_id2celltype_name__"):
+            return self.__node_id2celltype_name__
+
     @property
     def node_type_indices(self):
         if hasattr(self, "__node_type_indices__"):

src/run_placement.py

@@ -4,11 +4,9 @@ from src import run_placement_main_nesterov
 
 def run_placement_single(args, logger):
     logger.info("=================")
-    logger.info("Start place %s/%s" % (args.dataset , args.design_name))
     assert torch.cuda.is_available()
     torch.cuda.synchronize("cuda:{}".format(args.gpu))
     set_random_seed(args)
-    setup_dataset_args(args)
     res = run_placement_main_nesterov(args, logger)
     return res
 

src/run_placement_nesterov.py

@@ -13,10 +13,12 @@ def get_trunc_node_pos_fn(mov_node_size, data):
 def run_placement_main_nesterov(args, logger):
     total_start = time.time()
     data, rawdb, gpdb = load_dataset(args, logger)
+    setup_dataset_args(args)
     device = torch.device(
         "cuda:{}".format(args.gpu) if torch.cuda.is_available() else "cpu"
     )
     assert args.use_eplace_nesterov
+    logger.info("Start place %s/%s" % (args.dataset , args.design_name))
     logger.info("Use Nesterov optimizer!")
     if args.scale_design:
         logger.warning("Eplace's nesterov optimizer cannot support normalized die. Disable scale_design.")
@@ -187,7 +189,7 @@ def run_placement_main_nesterov(args, logger):
             if ps.use_cell_inflate:
                 output = route_inflation(
                     args, logger, data, rawdb, gpdb, ps, mov_node_pos, mov_node_size, expand_ratio,
-                    constraint_fn=trunc_node_pos_fn,
+                    constraint_fn=trunc_node_pos_fn, visualize=args.visualize_cgmap
                 )  # ps.use_cell_inflate is updated in route_inflation
                 if not ps.use_cell_inflate:
                     route_early_terminate_signal = True
@@ -294,7 +296,7 @@ def run_placement_main_nesterov(args, logger):
             ps.rerun_route = True
             gr_metrics = run_gr_and_fft_main(
                 args, logger, data, rawdb, gpdb, ps, mov_node_pos, constraint_fn=trunc_node_pos_fn, 
-                skip_m1_route=True, report_gr_metrics_only=True
+                skip_m1_route=True, report_gr_metrics_only=True, visualize=args.visualize_cgmap
             )
             ps.rerun_route = False
             ps.push_gr_sol(gr_metrics, hpwl, overflow, mov_node_pos)

utils/__init__.py

@@ -2,5 +2,5 @@ from .io_parser import IOParser
 from .logger import setup_logger
 from .visualization import *
 from .tools import *
-from .get_design_params import get_single_design_params, get_multiple_design_params, get_custom_design_params
+from .get_design_params import get_single_design_params, get_multiple_design_params, get_custom_design_params, get_custom_json_params
 from .setup_dataset import setup_dataset_args

utils/get_design_params.py

@@ -185,3 +185,16 @@ def get_custom_design_params(args):
     args.dataset = params["benchmark"]
     args.design_name = params["design_name"]
     return params
+
+
+def get_custom_json_params(args):
+    import json
+    with open(args.custom_json, 'r') as f:
+        params = json.load(f)
+    if "benchmark" not in params.keys():
+        raise ValueError("Cannot find 'benchmark' in args.custom_path")
+    if "design_name" not in params.keys():
+        raise ValueError("Cannot find 'design_name' in args.custom_path")
+    args.dataset = params["benchmark"]
+    args.design_name = params["design_name"]
+    return params

utils/io_parser.py

@@ -41,7 +41,15 @@ class IOParser(object):
             print("Can only support one input format!")
             return False
         if "def" in params.keys():
-            if "lef" not in params.keys():
+            if "lefs" in params.keys():
+                valid_flag = True
+                for lef in params["lefs"]:
+                    if not os.path.exists(lef):
+                        print("lef %s not exists." % lef)
+                        valid_flag = False
+                if not valid_flag:
+                    return False
+            elif "lef" not in params.keys():
                 if "cell_lef" not in params.keys() and "tech_lef" not in params.keys():
                     print("lef or (cell_lef and tech_lef) is not found")
                     return False
@@ -171,6 +179,7 @@ class IOParser(object):
 
         node_type_indices = gpdb.node_type_indices()
         node_id2node_name = gpdb.node_id2node_name()
+        node_id2celltype_name = gpdb.node_id2celltype_name()
         all_node_types = []
         mov_end_idx = None
         fix_end_idx = None
@@ -195,6 +204,7 @@ class IOParser(object):
             "dataset_path": self.params,
             "node_type_indices": node_type_indices,
             "node_id2node_name": node_id2node_name,
+            "node_id2celltype_name": node_id2celltype_name,
             "movable_index": movable_index,
             "connected_index": connected_index,
             "fixed_index": fixed_index,

utils/visualization.py

@@ -175,7 +175,11 @@ def draw_fig_with_cairo_cpp(node_pos, node_size, data, info, args, base_size=204
         ("Bin", 0.1, 0.1, 0.1, 1.0),
         ("Mov", 0.475, 0.706, 0.718, 0.8),
         ("Filler", 0.8, 0.8, 0.8, 0.8),
+        ("Buffer", 0.65, 0.08, 0.9, 0.8),
+        ("FF", 0.65, 0.9, 0.08, 0.7),
     ]
+    
+    node_special_type: List[int] = (data.node_special_type.cpu()).tolist()
     width = base_size
     height = round(width * (hy - ly) / (hx - lx))
     draw_contents: List[str] = ["Nodes", "NodesText"]
@@ -191,6 +195,7 @@ def draw_fig_with_cairo_cpp(node_pos, node_size, data, info, args, base_size=204
         bin_size_info,
         node_type_indices,
         ele_type_to_rgba_vec,
+        node_special_type,
         png_path,
         width,
         height,