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[Build] Fix stale FlagCX package versions for v0.11.0 and v0.12.0
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docs/CHANGELOG.md

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## Release History
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- **[2026/06]** Released [v0.13](https://github.com/flagos-ai/FlagCX/releases/tag/v0.13.0):
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- Extends the Device API with symmetric memory, multicast, IR bindings, and an intra-node P2P transport based on the window API.
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- Improves the P2P engine with multi-transfer flow control, noncontiguous KV transfers, registration-pool optimizations, and more robust connection cleanup.
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- Expands hardware and framework support through the Sunrise Torch plugin, runtime vendor detection, an updated DCU adaptor, and a NIXL v1.1.0 integration patch.
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- Adds one-sided and KV transfer benchmarks, symmetric-memory CI coverage, and RPM packaging for RHEL, Rocky Linux, and OpenEuler.
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- **[2026/05]** Released [v0.12](https://github.com/flagos-ai/FlagCX/releases/tag/v0.12.0):
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- Collaborates with FlagOS (vLLM-plugin-FL) to provide a unified connector for both homogeneous and heterogeneous prefill-decode disaggregation scenarios.
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- Migrates customAllReduce to the FlagCX Device API, leveraging symmetric memory and multicast capabilities for improved communication performance.
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- Introduces Sunrise support, including ptpuAdaptor and pcclAdaptor integrations.
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- **[2026/03]** Released [v0.11](https://github.com/flagos-ai/FlagCX/releases/tag/v0.11.0):
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- Enables kernel-based communication on heterogeneous platforms, including NVIDIA and Hygon.

setup.py

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setup(
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name="flagcx",
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version="0.10.0",
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version="0.13.0",
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description="FlagCX: A unified collective communication library",
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package_dir={"flagcx": "plugin/torch/flagcx"},
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packages=["flagcx"],

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