Update synthetic

exps/LFNA/basic-his.py

@@ -1,7 +1,7 @@
 #####################################################
 # Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2021.04 #
 #####################################################
-# python exps/LFNA/basic-his.py --srange 1-999
+# python exps/LFNA/basic-his.py --srange 1-999 --env_version v1
 #####################################################
 import sys, time, copy, torch, random, argparse
 from tqdm import tqdm
@@ -36,12 +36,14 @@ def main(args):
     prepare_seed(args.rand_seed)
     logger = prepare_logger(args)
 
-    cache_path = (logger.path(None) / ".." / "env-info.pth").resolve()
+    cache_path = (
+        logger.path(None) / ".." / "env-{:}-info.pth".format(args.env_version)
+    ).resolve()
     if cache_path.exists():
         env_info = torch.load(cache_path)
     else:
         env_info = dict()
-        dynamic_env = get_synthetic_env()
+        dynamic_env = get_synthetic_env(version=args.env_version)
         env_info["total"] = len(dynamic_env)
         for idx, (timestamp, (_allx, _ally)) in enumerate(tqdm(dynamic_env)):
             env_info["{:}-timestamp".format(idx)] = timestamp
@@ -169,6 +171,12 @@ if __name__ == "__main__":
         default="./outputs/lfna-synthetic/use-all-past-data",
         help="The checkpoint directory.",
     )
+    parser.add_argument(
+        "--env_version",
+        type=str,
+        required=True,
+        help="The synthetic enviornment version.",
+    )
     parser.add_argument(
         "--init_lr",
         type=float,
@@ -202,4 +210,5 @@ if __name__ == "__main__":
     if args.rand_seed is None or args.rand_seed < 0:
         args.rand_seed = random.randint(1, 100000)
     assert args.save_dir is not None, "The save dir argument can not be None"
+    args.save_dir = "{:}-{:}".format(args.save_dir, args.env_version)
     main(args)

exps/LFNA/vis-synthetic.py

@@ -25,7 +25,6 @@ if str(lib_dir) not in sys.path:
 
 from models.xcore import get_model
 from datasets.synthetic_core import get_synthetic_env
-from datasets.synthetic_example import create_example_v1
 from utils.temp_sync import optimize_fn, evaluate_fn
 from procedures.metric_utils import MSEMetric
 
@@ -214,9 +213,10 @@ def visualize_env(save_dir, version):
         fig.savefig(str(save_path) + ".png", dpi=dpi, bbox_inches="tight", format="png")
         plt.close("all")
     save_dir = save_dir.resolve()
-    base_cmd = "ffmpeg -y -i {xdir}/%05d.png -vf scale=1800:1400 -pix_fmt yuv420p -vb 5000k".format(
-        xdir=save_dir
+    base_cmd = "ffmpeg -y -i {xdir}/v{version}-%05d.png -vf scale=1800:1400 -pix_fmt yuv420p -vb 5000k".format(
+        xdir=save_dir, version=version
     )
+    print(base_cmd)
     os.system("{:} {xdir}/env-{ver}.mp4".format(base_cmd, xdir=save_dir, ver=version))
     os.system("{:} {xdir}/env-{ver}.webm".format(base_cmd, xdir=save_dir, ver=version))