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Refine LFNA vis codes

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This commit is contained in:
D-X-Y
2021-05-13 09:43:38 +00:00
parent 17955123a0
commit 3d3a04705f
1 changed files with 26 additions and 15 deletions
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41
exps/LFNA/vis-synthetic.py
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@@ -1,7 +1,8 @@
#####################################################
# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2021.02 #
############################################################################
# python exps/LFNA/vis-synthetic.py #
# python exps/LFNA/vis-synthetic.py --env_version v1 #
# python exps/LFNA/vis-synthetic.py --env_version v2 #
############################################################################
import os, sys, copy, random
import torch
@@ -223,7 +224,9 @@ def visualize_env(save_dir, version):
def compare_algs(save_dir, version, alg_dir="./outputs/lfna-synthetic"):
save_dir = Path(str(save_dir))
save_dir.mkdir(parents=True, exist_ok=True)
for substr in ("pdf", "png"):
sub_save_dir = save_dir / substr
sub_save_dir.mkdir(parents=True, exist_ok=True)
dpi, width, height = 30, 3200, 2000
figsize = width / float(dpi), height / float(dpi)
@@ -235,10 +238,10 @@ def compare_algs(save_dir, version, alg_dir="./outputs/lfna-synthetic"):
alg_name2dir = OrderedDict()
alg_name2dir["Optimal"] = "use-same-timestamp"
alg_name2dir["Supervised Learning (History Data)"] = "use-all-past-data"
alg_name2dir["MAML"] = "use-maml-s1"
alg_name2dir["LFNA (fix init)"] = "lfna-fix-init"
alg_name2dir["LFNA (debug)"] = "lfna-debug"
# alg_name2dir["Supervised Learning (History Data)"] = "use-all-past-data"
# alg_name2dir["MAML"] = "use-maml-s1"
# alg_name2dir["LFNA (fix init)"] = "lfna-fix-init"
alg_name2dir["LFNA (debug)"] = "lfna-tall-hpnet"
alg_name2all_containers = OrderedDict()
if version == "v1":
poststr = "v1-d16"
@@ -246,15 +249,16 @@ def compare_algs(save_dir, version, alg_dir="./outputs/lfna-synthetic"):
raise ValueError("Invalid version: {:}".format(version))
for idx_alg, (alg, xdir) in enumerate(alg_name2dir.items()):
ckp_path = Path(alg_dir) / "{:}-{:}".format(xdir, poststr) / "final-ckp.pth"
xdata = torch.load(ckp_path)
xdata = torch.load(ckp_path, map_location="cpu")
alg_name2all_containers[alg] = xdata["w_container_per_epoch"]
# load the basic model
model = get_model(
dict(model_type="simple_mlp"),
act_cls="leaky_relu",
norm_cls="identity",
dict(model_type="norm_mlp"),
input_dim=1,
output_dim=1,
hidden_dims=[16] * 2,
act_cls="gelu",
norm_cls="layer_norm_1d",
)
alg2xs, alg2ys = defaultdict(list), defaultdict(list)
@@ -331,13 +335,14 @@ def compare_algs(save_dir, version, alg_dir="./outputs/lfna-synthetic"):
cur_ax.set_ylim(0, 10)
cur_ax.legend(loc=1, fontsize=LegendFontsize)
save_path = save_dir / "v{:}-{:05d}".format(version, idx)
fig.savefig(str(save_path) + ".pdf", dpi=dpi, bbox_inches="tight", format="pdf")
fig.savefig(str(save_path) + ".png", dpi=dpi, bbox_inches="tight", format="png")
pdf_save_path = save_dir / "pdf" / "v{:}-{:05d}.pdf".format(version, idx)
fig.savefig(str(pdf_save_path), dpi=dpi, bbox_inches="tight", format="pdf")
png_save_path = save_dir / "png" / "v{:}-{:05d}.png".format(version, idx)
fig.savefig(str(png_save_path), dpi=dpi, bbox_inches="tight", format="png")
plt.close("all")
save_dir = save_dir.resolve()
base_cmd = "ffmpeg -y -i {xdir}/v{ver}-%05d.png -vf scale={w}:{h} -pix_fmt yuv420p -vb 5000k".format(
xdir=save_dir, w=width, h=height, ver=version
xdir=save_dir / "png", w=width, h=height, ver=version
)
os.system(
"{:} {xdir}/com-alg-{ver}.mp4".format(base_cmd, xdir=save_dir, ver=version)
@@ -356,9 +361,15 @@ if __name__ == "__main__":
default="./outputs/vis-synthetic",
help="The save directory.",
)
parser.add_argument(
"--env_version",
type=str,
required=True,
help="The synthetic enviornment version.",
)
args = parser.parse_args()
# visualize_env(os.path.join(args.save_dir, "vis-env"), "v1")
# visualize_env(os.path.join(args.save_dir, "vis-env"), "v2")
compare_algs(os.path.join(args.save_dir, "compare-alg-v2"), "v1")
compare_algs(os.path.join(args.save_dir, "compare-alg"), args.env_version)
# compare_cl(os.path.join(args.save_dir, "compare-cl"))