[CICD] Add KunlunXin unit and MCore integration test support - #94
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# Conflicts: # .github/workflows/all_tests_kunlun.yml
lxd-cumt
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Aug 10, 2026
Caozhou1995
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Aug 11, 2026
Integrates upstream NVIDIA/TransformerEngine v2.17 (commit 2e559f0) into flagos-ai/TransformerEngine-FL:main, preserving all multi-backend plugin work. - Upstream v2.14 -> v2.17 integration (EP, MXFP8/NVFP4, fused router/MLP) - 25 conflict files resolved, fork patches preserved (torch_nv, te_device_type, OpManager dispatcher, 9-backend CI/CD) - P0: removed 2 deleted C++ bindings (convert_host_pointers_to_tensor, get_device_pointer_for_data_and_scales) from plugin + 6 vendors - Enum sync: DType assert ==->subset, NVTE_QKV_Format/Layout members - Device abstraction re-injected (quantized_tensor.py make_empty etc.) - Includes flagos-ai#94 KunlunXin CICD support
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Description
Summary
This PR adds dedicated KunlunXin CI support for TransformerEngine-FL using the existing
vendor.kunlunxinbackend.Changes
transformer_engine_klx_torchcan be imported.generic_gemmselectsvendor.kunlunxininstead of falling back to another backend.No TransformerEngine core source, upstream test cases, other platform configurations, or third-party submodules are changed.
Testing
The previous self-hosted KunlunXin workflow run passed:
The final cleaned branch additionally passed shell syntax, YAML parsing, embedded Python syntax, configuration path, and diff consistency checks.