Update dependencies

.gitignore

@@ -0,0 +1,173 @@
+temp
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# UV
+#   Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#uv.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/latest/usage/project/#working-with-version-control
+.pdm.toml
+.pdm-python
+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+# PyPI configuration file
+.pypirc

requirements.txt

@@ -1,17 +1,15 @@
 opencv-python==4.10.0.84
 gdown==5.2.0
 gymnasium==0.29.1
-numpy==1.26.4
-Pillow==10.3.0
-scikit-learn==1.5.1
-tensordict==0.4.0
-torch==2.3.1
-torchvision==0.18.1
+Pillow==11.1.0
+scikit-learn==1.6.0
+tensordict==0.6.1
+torch==2.5.1
+torchvision==0.20.1
 tqdm==4.66.4
 pyyaml==6.0.1
-transformers==4.42.4
-tensorboard==2.17.0
-torchrl==0.4.0
-streamlit==1.36.0
+transformers==4.47.1
+torchrl==0.6.0
+streamlit==1.41.1
 streamlit-image-comparison==0.0.4
 bokeh==2.4.3

src/sac/sac_inference.py

@@ -21,7 +21,7 @@ class InferenceAgent:
         return torch.round((batch_actions+1)/self.discretize_step)*self.discretize_step-1
 
     def load_backbone (self,backbone_path):
-        self.backbone.load_state_dict(torch.load(backbone_path, map_location=self.device))
+        self.backbone.load_state_dict(torch.load(backbone_path, map_location=self.device, weights_only=True))
         self.actor = Actor(self.env,self.backbone).to(self.device)
         self.qf1 = SoftQNetwork(self.env,self.backbone).to(self.device)
         self.qf2 = SoftQNetwork(self.env,self.backbone).to(self.device)

src/sac/utils.py

@@ -13,7 +13,7 @@ def save_actor_head(actor_model, file_path):
 
 def load_actor_head(actor_model, file_path,device):
     # Load the state dictionaries from the file
-    actor_head_state_dict = torch.load(file_path, map_location=device)
+    actor_head_state_dict = torch.load(file_path, map_location=device,weights_only=True)
     # Load the state dictionaries into the model
     actor_model.fc1.load_state_dict(actor_head_state_dict['fc1'])
     actor_model.fc2.load_state_dict(actor_head_state_dict['fc2'])
@@ -32,7 +32,7 @@ def save_critic_head(critic_model, file_path):
 
 def load_critic_head(critic_model, file_path,device):
     # Load the state dictionaries from the file
-    critic_head_state_dict = torch.load(file_path, map_location=device)
+    critic_head_state_dict = torch.load(file_path, map_location=device,weights_only=True)
     # Load the state dictionaries into the model
     critic_model.fc1.load_state_dict(critic_head_state_dict['fc1'])
     critic_model.fc2.load_state_dict(critic_head_state_dict['fc2'])