adding alternative entry point to train several models sequentially i…

…n one go

pyha_analyzer/sequential_run_cfg.json

@@ -0,0 +1,14 @@
+[
+    {
+        "dataframe_csv": "filepath to csv",
+        "data_path": "filepath to data",
+        "wandb_run_name": "run name"
+    },
+    {
+        "dataframe_csv": "filepath to csv",
+        "data_path": "filepath to data",
+        "wandb_run_name": "run name",
+        "learning_rate": 0.001,
+        "batch_size": 42
+    }
+]

pyha_analyzer/sequential_run_entry.py

@@ -0,0 +1,43 @@
+#script for running several training runs with different configurations
+import os
+import time
+import torch
+import json
+import pyha_analyzer as pa
+from pyha_analyzer import config
+
+cfg = config.cfg
+
+# Function to update the config and run the training
+def run_training(config_dict):
+    # Dynamically update cfg variables from the config_dict
+    for key, value in config_dict.items():
+        if hasattr(cfg, key):
+            setattr(cfg, key, value)
+        else:
+            print(f"Warning: Config has no attribute '{key}', skipping...")
+
+    # Set multiprocessing strategy
+    torch.multiprocessing.set_sharing_strategy('file_system')
+    torch.multiprocessing.set_start_method('spawn')
+
+    # Run the training
+    pa.train.main(in_sweep=False)
+
+# Function to load configurations from a JSON file and run the training runs
+def run_training_runs(config_file):
+    # Load configurations from the JSON file
+    with open(config_file, 'r') as file:
+        configurations = json.load(file)
+
+    # Iterate over each configuration and run the training
+    for config in configurations:
+        print(f"Running training for: {config.get('wandb_run_name', 'Unnamed Run')}")
+        run_training(config)
+        time.sleep(10)  # Optional wait time between runs to make sure logging is done fully
+
+# Entry point to start the training runs
+if __name__ == "__main__":
+    config_file_path = "sequential_run_cfg"  # Change to your config file path if needed
+    run_training_runs(config_file_path)
+