[MNT] del useless config

learnware/__init__.py

@@ -38,9 +38,6 @@ def init(**kwargs):
         os.makedirs(C.database_path, exist_ok=True)
         os.makedirs(C.stdout_path, exist_ok=True)
         os.makedirs(C.cache_path, exist_ok=True)
-        os.makedirs(C.learnware_pool_path, exist_ok=True)
-        os.makedirs(C.learnware_zip_pool_path, exist_ok=True)
-        os.makedirs(C.learnware_folder_pool_path, exist_ok=True)
 
     ## ignore tensorflow warning
     tf_loglevel = kwargs.get("tf_loglevel", "2")

learnware/config.py

@@ -57,10 +57,6 @@ class Config:
 ROOT_DIRPATH = os.path.join(os.path.expanduser("~"), ".learnware")
 PACKAGE_DIRPATH = os.path.dirname(os.path.abspath(__file__))
 
-LEARNWARE_POOL_PATH = os.path.join(ROOT_DIRPATH, "learnware_pool")
-LEARNWARE_ZIP_POOL_PATH = os.path.join(LEARNWARE_POOL_PATH, "zips")
-LEARNWARE_FOLDER_POOL_PATH = os.path.join(LEARNWARE_POOL_PATH, "learnwares")
-
 DATABASE_PATH = os.path.join(ROOT_DIRPATH, "database")
 STDOUT_PATH = os.path.join(ROOT_DIRPATH, "stdout")
 CACHE_PATH = os.path.join(ROOT_DIRPATH, "cache")
@@ -126,9 +122,6 @@ _DEFAULT_CONFIG = {
     "logging_outfile": None,
     "semantic_specs": semantic_config,
     "market_root_path": ROOT_DIRPATH,
-    "learnware_pool_path": LEARNWARE_POOL_PATH,
-    "learnware_zip_pool_path": LEARNWARE_ZIP_POOL_PATH,
-    "learnware_folder_pool_path": LEARNWARE_FOLDER_POOL_PATH,
     "learnware_folder_config": {
         "yaml_file": "learnware.yaml",
         "module_file": "__init__.py",

learnware/reuse/hetero/feature_align.py

@@ -29,8 +29,6 @@ class FeatureAlignLearnware(AlignLearnware):
         Additional arguments for the feature alignment trainer.
     cuda_idx : int
         Index of the CUDA device to be used for computations.
-    device : torch.device
-        The device (CPU or CUDA) on which computations will be performed.
     """
 
     def __init__(self, learnware: Learnware, cuda_idx=None, **align_arguments):