Hold failed upload metrics and upload with next upload metrics

ultralytics/hub/session.py

@@ -52,6 +52,7 @@ def __init__(self, identifier):
             "heartbeat": 300.0,
         }  # rate limits (seconds)
         self.metrics_queue = {}  # holds metrics for each epoch until upload
+        self.metrics_upload_failed_queue = {}  # holds metrics for each epoch if upload failed
         self.timers = {}  # holds timers in ultralytics/utils/callbacks/hub.py
 
         # Parse input
@@ -234,6 +235,9 @@ def retry_request():
                     self._show_upload_progress(progress_total, response)
 
                 if HTTPStatus.OK <= response.status_code < HTTPStatus.MULTIPLE_CHOICES:
+                    # if request related to metrics upload
+                    if kwargs.get("metrics"):
+                        self.metrics_upload_failed_queue = {}
                     return response  # Success, no need to retry
 
                 if i == 0:
@@ -249,6 +253,10 @@ def retry_request():
 
                 time.sleep(2**i)  # Exponential backoff for retries
 
+            # if request related to metrics upload and exceed retries
+            if response is None and kwargs.get("metrics"):
+                self.metrics_upload_failed_queue.update(kwargs.get("metrics", None))
+
             return response
 
         if thread:

ultralytics/utils/callbacks/hub.py

@@ -33,6 +33,11 @@ def on_fit_epoch_end(trainer):
             all_plots = {**all_plots, **model_info_for_loggers(trainer)}
 
         session.metrics_queue[trainer.epoch] = json.dumps(all_plots)
+
+        # If any metrics fail to upload, add them to the queue to attempt uploading again.
+        if session.metrics_upload_failed_queue:
+            session.metrics_queue.update(session.metrics_upload_failed_queue)
+
         if time() - session.timers["metrics"] > session.rate_limits["metrics"]:
             session.upload_metrics()
             session.timers["metrics"] = time()  # reset timer