From 6bcc8219cad16132271243df36d1b54895f4ec37 Mon Sep 17 00:00:00 2001
From: PMazarovich <57707673+PMazarovich@users.noreply.github.com>
Date: Wed, 11 Jan 2023 22:38:51 +0300
Subject: [PATCH] Lambda manager bugfix (#5462)

Constantly increasing RAM consumption in cvat_worker_low docker
container while using automatic annotation with detector model in
nuclio.

### How has this been tested?
<!-- Please describe in detail how you tested your changes.
Include details of your testing environment, and the tests you ran to
see how your change affects other areas of the code, etc. -->
It was tested manually
---
 cvat/apps/lambda_manager/views.py | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/cvat/apps/lambda_manager/views.py b/cvat/apps/lambda_manager/views.py
index e34ee361..a539751e 100644
--- a/cvat/apps/lambda_manager/views.py
+++ b/cvat/apps/lambda_manager/views.py
@@ -561,11 +561,11 @@ class LambdaJob:
 
                     results.append_shape(shape)
 
-                # Accumulate data during 100 frames before sumbitting results.
-                # It is optimization to make fewer calls to our server. Also
-                # it isn't possible to keep all results in memory.
-                if frame and frame % 100 == 0:
-                    results.submit()
+            # Accumulate data during 100 frames before sumbitting results.
+            # It is optimization to make fewer calls to our server. Also
+            # it isn't possible to keep all results in memory.
+            if frame and frame % 100 == 0:
+                results.submit()
 
         results.submit()