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Revert "Re-enable TensorRT export in GPU tests" (#22078)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Glenn Jocher 2025-09-15 00:21:11 +02:00 committed by GitHub
parent a7a56595f8
commit 1aa3688613
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3 changed files with 4 additions and 3 deletions
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3
docs/en/datasets/explorer/api.md
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@ -150,9 +150,10 @@ Note: This works using LLMs under the hood so the results are probabilistic and
!!! example "Ask AI"
```python
from ultralytics import Explorer
from ultralytics.data.explorer import plot_query_result
from ultralytics import Explorer
# create an Explorer object
exp = Explorer(data="coco128.yaml", model="yolo11n.pt")
exp.create_embeddings_table()

1
docs/en/datasets/explorer/explorer.md
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@ -116,7 +116,6 @@ Image.fromarray(plt)
```python
# plot
from PIL import Image
from ultralytics.data.explorer import plot_query_result
plt = plot_query_result(exp.ask_ai("show me 10 images containing exactly 2 persons"))

3
tests/test_cuda.py
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@ -68,7 +68,7 @@ def test_export_onnx_matrix(task, dynamic, int8, half, batch, simplify, nms):
half=half,
batch=batch,
simplify=simplify,
nms=nms,
nms=nms and task != "obb", # WARNING: Failing NMS with OBB
device=DEVICES[0],
)
YOLO(file)([SOURCE] * batch, imgsz=64 if dynamic else 32, device=DEVICES[0]) # exported model inference
@ -76,6 +76,7 @@ def test_export_onnx_matrix(task, dynamic, int8, half, batch, simplify, nms):
@pytest.mark.slow
@pytest.mark.skipif(True, reason="WARNING: Failing TensorRT export tests")
@pytest.mark.skipif(not DEVICES, reason="No CUDA devices available")
@pytest.mark.parametrize(
"task, dynamic, int8, half, batch",