HongChuang/ultralytics-ascend
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

ultralytics 8.3.72 Fix NVIDIA Jetson DLA core support for DLA inference (#19078)

Browse source 
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Lakshantha Dissanayake <lakshanthad@yahoo.com>
Co-authored-by: Lakshantha Dissanayake <lakshantha@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
This commit is contained in:
Laughing 2025-02-06 11:10:36 +08:00 • committed by GitHub
parent 84a8b067c4
commit c1860b8333
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
5 changed files with 15 additions and 12 deletions
Download patch file Download diff file Expand all files Collapse all files

9
ultralytics/nn/autobackend.py
View file

@ -292,13 +292,10 @@ class AutoBackend(nn.Module):
metadata = json.loads(f.read(meta_len).decode("utf-8")) # read metadata
except UnicodeDecodeError:
f.seek(0) # engine file may lack embedded Ultralytics metadata
dla = metadata.get("dla", None)
if dla is not None:
runtime.DLA_core = int(dla)
model = runtime.deserialize_cuda_engine(f.read()) # read engine
if "dla" in str(device.type):
dla_core = int(device.type.split(":")[1])
assert dla_core in {0, 1}, (
"Expected device type for inference in DLA is 'dla:0' or 'dla:1', but received '{device.type}'"
)
runtime.DLA_core = dla_core
# Model context
try: