From 15027535403d3e5f969f920dcf329f0674efa16f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Fran=C3=A7ois=20Laurent?= <francois.laurent@posteo.net>
Date: Fri, 30 Jun 2023 14:41:03 +0200
Subject: [PATCH] pretrained models aligned with dev
---
.../{default => 20230129}/autoencoder_config.json | 0
.../{default => 20230129}/best_validated_encoder.pt | Bin
pretrained_models/former-default | 1 +
scripts/make_models.jl | 6 +++---
4 files changed, 4 insertions(+), 3 deletions(-)
rename pretrained_models/{default => 20230129}/autoencoder_config.json (100%)
rename pretrained_models/{default => 20230129}/best_validated_encoder.pt (100%)
create mode 120000 pretrained_models/former-default
diff --git a/pretrained_models/default/autoencoder_config.json b/pretrained_models/20230129/autoencoder_config.json
similarity index 100%
rename from pretrained_models/default/autoencoder_config.json
rename to pretrained_models/20230129/autoencoder_config.json
diff --git a/pretrained_models/default/best_validated_encoder.pt b/pretrained_models/20230129/best_validated_encoder.pt
similarity index 100%
rename from pretrained_models/default/best_validated_encoder.pt
rename to pretrained_models/20230129/best_validated_encoder.pt
diff --git a/pretrained_models/former-default b/pretrained_models/former-default
new file mode 120000
index 0000000..efdf21c
--- /dev/null
+++ b/pretrained_models/former-default
@@ -0,0 +1 @@
+20230129
\ No newline at end of file
diff --git a/scripts/make_models.jl b/scripts/make_models.jl
index 9ca46fd..249c6b2 100755
--- a/scripts/make_models.jl
+++ b/scripts/make_models.jl
@@ -35,9 +35,9 @@ function main(args=ARGS)
exit()
elseif length(args) == 1 && args[1] == "default"
args = ["20230524-6behaviors-25", "20230524-hunch-25", "20230524-roll-25"]
- #cd(mkpath(joinpath(projectdir, "pretrained_models"))) do
- # symlink("20230524-6behaviors-25", "default"; dir_target=true)
- #end
+ cd(mkpath(joinpath(projectdir, "pretrained_models"))) do
+ symlink("20230524-6behaviors-25", "default"; dir_target=true)
+ end
end
for arg in args
pretrained_models(arg)
--
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