From e97d129db40d3b3592fca7d1c8a6fe39133e7e47 Mon Sep 17 00:00:00 2001
From: Glenn Jocher <glenn.jocher@ultralytics.com>
Date: Fri, 7 May 2021 13:10:07 +0200
Subject: [PATCH] Update export.py with --train mode argument (#3066)

---
 models/export.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/models/export.py b/models/export.py
index b6058158fa97..acf83622aa75 100644
--- a/models/export.py
+++ b/models/export.py
@@ -29,6 +29,7 @@
     parser.add_argument('--device', default='cpu', help='cuda device, i.e. 0 or 0,1,2,3 or cpu')
     parser.add_argument('--half', action='store_true', help='FP16 half-precision export')
     parser.add_argument('--inplace', action='store_true', help='set YOLOv5 Detect() inplace=True')
+    parser.add_argument('--train', action='store_true', help='model.train() mode')
     parser.add_argument('--dynamic', action='store_true', help='dynamic ONNX axes')  # ONNX-only
     parser.add_argument('--simplify', action='store_true', help='simplify ONNX model')  # ONNX-only
     opt = parser.parse_args()
@@ -53,6 +54,8 @@
     # Update model
     if opt.half:
         img, model = img.half(), model.half()  # to FP16
+    if opt.train:
+        model.train()  # training mode (no grid construction in Detect layer)
     for k, m in model.named_modules():
         m._non_persistent_buffers_set = set()  # pytorch 1.6.0 compatibility
         if isinstance(m, models.common.Conv):  # assign export-friendly activations