0.14.65

tb clean

Author: bartzbeielstein

pyproject.toml

@@ -7,7 +7,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "spotpython"
-version = "0.14.64"
+version = "0.14.65"
 authors = [
   { name="T. Bartz-Beielstein", email="tbb@bartzundbartz.de" }
 ]

src/spotPython/utils/file.py

@@ -9,6 +9,7 @@
 import pprint
 from spotPython.utils.eda import gen_design_table
 from spotPython.utils.tensorboard import start_tensorboard, stop_tensorboard
+from spotPython.utils.init import setup_paths
 
 
 # from torch.utils.tensorboard import SummaryWriter
@@ -244,7 +245,11 @@ def load_and_run_spot_python_experiment(spot_pkl_name) -> tuple:
     print("\nLoaded fun_control in spotRun():")
     pprint.pprint(fun_control)
     print(gen_design_table(fun_control))
-    p_open = start_tensorboard()
+    setup_paths(fun_control["TENSORBOARD_CLEAN"])
+    if fun_control["tensorboard_start"]:
+        p_open = start_tensorboard()
+    else:
+        p_open = None
     spot_tuner.run()
     spot_tuner.save_experiment()
     # tensorboard --logdir="runs/"

src/spotPython/utils/init.py

@@ -469,6 +469,11 @@ def setup_paths(tensorboard_clean) -> tuple:
         TENSORBOARD_PATH (str):
             The path to the folder where the tensorboard files are saved.
 
+    Examples:
+        >>> from spotPython.utils.init import setup_paths
+        >>> setup_paths(tensorboard_clean=True)
+        ('runs/saved_models/', 'data/', 'results/', 'runs/')
+
     """
     # Path to the folder where the pretrained models are saved
     CHECKPOINT_PATH = os.environ.get("PATH_CHECKPOINT", "runs/saved_models/")