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ci: Fix L0_model_control_stress #8627

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Merged
yinggeh merged 5 commits into from
Jan 30, 2026
Merged

ci: Fix L0_model_control_stress #8627

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35cacaa
Update model tag
yinggeh Jan 28, 2026
24a5cf0
Update model version
yinggeh Jan 28, 2026
d70ca12
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yinggeh Jan 29, 2026
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yinggeh Jan 29, 2026
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Merge branch 'main' into yinggeh/tri-601-dlfwtritonr2601-l0_model_con…
yinggeh Jan 29, 2026
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12 changes: 4 additions & 8 deletions qa/python_models/torchvision/resnet50/model.py
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Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
# Copyright 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# Copyright 2023-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
Expand All @@ -25,6 +25,7 @@
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

import torch
import torchvision
import triton_python_backend_utils as pb_utils
from torch.utils.dlpack import to_dlpack

Expand All @@ -35,14 +36,9 @@ def initialize(self, args):
This function initializes pre-trained ResNet50 model.
"""
self.device = "cuda" if args["model_instance_kind"] == "GPU" else "cpu"
# Avoid the "HTTP Error 403: rate limit exceeded" error
torch.hub._validate_not_a_forked_repo = lambda a, b, c: True
# Our tests currently depend on torchvision=0.14,
# to make sure `torch.hub` loads Resnet50 implementation
# compatible with torchvision=0.14, we need to provide tag
self.model = (
torch.hub.load(
"pytorch/vision:v0.14.1", "resnet50", weights="IMAGENET1K_V2"
torchvision.models.resnet50(
weights=torchvision.models.ResNet50_Weights.DEFAULT
)
.to(self.device)
.eval()
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