zero-mAP fix remove torch.empty() forward pass in .train() mode (#9068)

* Fix Zero Map Issue

Signed-off-by: 0zppd <111682241+0zppd@users.noreply.github.com>

* Update __init__.py

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

Signed-off-by: 0zppd <111682241+0zppd@users.noreply.github.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
This commit is contained in:
0zppdandGlenn Jocher authored and GitHub committed 2022-08-21 15:40:28 +02:00
1 parent e6b4bf0bc2
commit 87e8deadd5
1 file changed
+1 -1
+1 -1
View File
@@ -296,7 +296,7 @@ def log_tensorboard_graph(tb, model, imgsz=(640, 640)):
try:
p = next(model.parameters()) # for device, type
imgsz = (imgsz, imgsz) if isinstance(imgsz, int) else imgsz # expand
im = torch.empty((1, 3, *imgsz)).to(p.device).type_as(p) # input image
im = torch.zeros((1, 3, *imgsz)).to(p.device).type_as(p) # input image (WARNING: must be zeros, not empty)
with warnings.catch_warnings():
warnings.simplefilter('ignore') # suppress jit trace warning
tb.add_graph(torch.jit.trace(de_parallel(model), im, strict=False), [])