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cherry_pick to 2.10: filter out unsupported cuda versions #3991

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Merged
lanluo-nvidia merged 1 commit into from
Jan 5, 2026
Merged

cherry_pick to 2.10: filter out unsupported cuda versions #3991

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10 changes: 7 additions & 3 deletions .github/scripts/filter-matrix.py
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Original file line number Diff line number Diff line change
Expand Up @@ -15,6 +15,8 @@
jetpack_cuda_versions: List[str] = ["cu126"]
# rtx 1.2 currently only supports cu129 and cu130
rtx_cuda_versions: List[str] = ["cu129", "cu130"]
# trt 10.14.1 currently only supports cu129 and cu130
trt_cuda_versions: List[str] = ["cu129", "cu130"]

jetpack_container_image: str = "nvcr.io/nvidia/l4t-jetpack:r36.4.0"
sbsa_container_image: str = "quay.io/pypa/manylinux_2_39_aarch64"
Expand Down Expand Up @@ -55,9 +57,11 @@ def filter_matrix_item(
return False
else:
if use_rtx:
if item["desired_cuda"] in rtx_cuda_versions:
return True
return False
if item["desired_cuda"] not in rtx_cuda_versions:
return False
else:
if item["desired_cuda"] not in trt_cuda_versions:
return False
if item["gpu_arch_type"] == "cuda-aarch64":
# pytorch image:pytorch/manylinuxaarch64-builder:cuda12.8 comes with glibc2.28
# however, TensorRT requires glibc2.31 on aarch64 platform
Expand Down
2 changes: 1 addition & 1 deletion tests/py/dynamo/models/test_models.py
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Expand Up @@ -426,7 +426,7 @@ def test_resnet18_half(ir):

@pytest.mark.unit
@unittest.skipIf(
torch_trt.ENABLED_FEATURES.tensorrt_rtx,
torchtrt.ENABLED_FEATURES.tensorrt_rtx,
"tensorrt_rtx does not support bfloat16",
)
def test_cosmos_true_div(ir):
Expand Down
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