fix(run): resolve issue with data_dir input argument (#409)

This commit addresses a bug where the `--data_dir` input argument was
not correctly utilized. The issue prevented the application from
accessing the specified data directory. This fix ensures that the
`--data_dir` argument is appropriately recognised and applied.

stable_learning_control/algos/pytorch/lac/lac.py

@@ -1870,7 +1870,7 @@ def lac(
     # Setup output dir for logger and return output kwargs.
     logger_kwargs = setup_logger_kwargs(
         args.exp_name,
-        args.seed,
+        seed=args.seed,
         save_checkpoints=args.save_checkpoints,
         use_tensorboard=args.use_tensorboard,
         tb_log_freq=args.tb_log_freq,

stable_learning_control/algos/pytorch/latc/latc.py

@@ -452,7 +452,7 @@ def latc(env_fn, actor_critic=None, *args, **kwargs):
     # Setup output dir for logger and return output kwargs.
     logger_kwargs = setup_logger_kwargs(
         args.exp_name,
-        args.seed,
+        seed=args.seed,
         save_checkpoints=args.save_checkpoints,
         use_tensorboard=args.use_tensorboard,
         tb_log_freq=args.tb_log_freq,

stable_learning_control/algos/pytorch/sac/sac.py

@@ -1657,15 +1657,15 @@ def sac(
     # Setup output dir for logger and return output kwargs.
     logger_kwargs = setup_logger_kwargs(
         args.exp_name,
-        args.seed,
+        seed=args.seed,
         save_checkpoints=args.save_checkpoints,
         use_tensorboard=args.use_tensorboard,
+        tb_log_freq=args.tb_log_freq,
         use_wandb=args.use_wandb,
         wandb_job_type=args.wandb_job_type,
         wandb_project=args.wandb_project,
         wandb_group=args.wandb_group,
         wandb_run_name=args.wandb_run_name,
-        tb_log_freq=args.tb_log_freq,
         quiet=args.quiet,
         verbose_fmt=args.verbose_fmt,
         verbose_vars=args.verbose_vars,

stable_learning_control/algos/tf2/lac/lac.py

@@ -1769,7 +1769,7 @@ def lac(
     # Setup output dir for logger and return output kwargs.
     logger_kwargs = setup_logger_kwargs(
         args.exp_name,
-        args.seed,
+        seed=args.seed,
         save_checkpoints=args.save_checkpoints,
         use_tensorboard=args.use_tensorboard,
         tb_log_freq=args.tb_log_freq,

stable_learning_control/algos/tf2/latc/latc.py

@@ -454,7 +454,7 @@ def latc(env_fn, actor_critic=None, *args, **kwargs):
     # Setup output dir for logger and return output kwargs.
     logger_kwargs = setup_logger_kwargs(
         args.exp_name,
-        args.seed,
+        seed=args.seed,
         save_checkpoints=args.save_checkpoints,
         use_tensorboard=args.use_tensorboard,
         tb_log_freq=args.tb_log_freq,

stable_learning_control/algos/tf2/sac/sac.py

@@ -1573,7 +1573,7 @@ def sac(
     # Setup output dir for logger and return output kwargs.
     logger_kwargs = setup_logger_kwargs(
         args.exp_name,
-        args.seed,
+        seed=args.seed,
         save_checkpoints=args.save_checkpoints,
         use_tensorboard=args.use_tensorboard,
         tb_log_freq=args.tb_log_freq,

stable_learning_control/utils/run_utils.py

@@ -87,9 +87,8 @@ def call_experiment(
     # Set up logger output directory.
     if "logger_kwargs" not in kwargs:
         kwargs["logger_kwargs"] = setup_logger_kwargs(
-            exp_name, seed, data_dir, datestamp
+            exp_name, seed=seed, data_dir=data_dir, datestamp=datestamp
         )
-
     else:
         print("Note: Call experiment is not handling logger_kwargs.\n")
         kwargs["logger_kwargs"] = setup_logger_kwargs(