[CI][NIXL] Fix NIXL EP import canary for the nixl 1.3.0 wheel and pin nixl==1.3.0 (#45166)
Signed-off-by: Ovidiu Mara <ovidium@nvidia.com> Signed-off-by: ovidiusm <ovidium@nvidia.com> Co-authored-by: Wentao Ye <44945378+yewentao256@users.noreply.github.com>
ovidiusm committed
Jun 26, 2026 at 04:33 UTC
dbc49b6b99d02d6daadc0c8150267e67fbecc446
2 files changed
+4
-24
requirements/kv_connectors.txt
+1
-1
@@ -2,5 +2,5 @@ lmcache >= 0.3.9
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# CuPy 14.1.0 imports pytest from cupy.testing._random. Use <14.1.0
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# until a fixed newer release is verified for runtime images.
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cupy-cuda13x < 14.1.0
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-nixl == 1.2.0 # Required for disaggregated prefill
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+nixl == 1.3.0
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mooncake-transfer-engine >= 0.3.8
tests/v1/kv_connector/nixl_integration/test_nixl_imports.py
+3
-23
@@ -4,8 +4,6 @@
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import importlib
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import importlib.metadata as metadata
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-import subprocess
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-import sys
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import types
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import pytest
@@ -65,25 +63,7 @@ def test_nixl_and_nixl_ep_imports() -> None:
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# Exercise the NIXL EP extension used by fused MoE expert parallelism.
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nixl_ep = importlib.import_module("nixl_ep")
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print(f"nixl_ep: {nixl_ep.__file__}")
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+ assert nixl_ep.__file__ is not None
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- nixl_ep_cpp = _import_nixl_ep_cpp(nixl_ep)
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- assert nixl_ep_cpp.__file__ is not None
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- extension_file = nixl_ep_cpp.__file__
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- print(f"nixl_ep_cpp: {extension_file}")
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-
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- completed = subprocess.run(
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- ["ldd", extension_file],
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- capture_output=True,
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- check=False,
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- text=True,
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- )
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- print(completed.stdout)
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- if completed.stderr:
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- print(completed.stderr, file=sys.stderr)
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-
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- assert completed.returncode == 0
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- if torch.version.cuda is not None:
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- cuda_major = torch.version.cuda.split(".", maxsplit=1)[0]
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- expected_cudart = f"libcudart.so.{cuda_major}"
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- assert expected_cudart in completed.stdout
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- assert f"{expected_cudart} => not found" not in completed.stdout
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+ # Check that the NIXL EP extension is loaded.
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+ assert nixl_ep.Config is not None