GitLab

* Add TMA buffer allocation

* Use TMA for forwarders and NVL receivers

* Use lane 31 to operate TMA.

* Change rdma buffer layout.

* Use TMA to transfer scales also.

* Increase the NVL recv buffer size.

* Disable early stopping.

* Apply similar optimizations on receiver warps.

* Prevent warp divergence.

* Disable aggressive ptx by default.

* Revert using TMA to transfer scales.

* Format.

* Change the layout of dispatch NVL buffer.

* Move topk transformation to recv warps.

* Use TMA to transfer all data in foward warps

* Use TMA to store scales.

* Code lint

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Co-authored-by: Chenggang Zhao <chenggangz@deepseek.com>

* use cli arg for num_processes
Signed-off-by: youkaichao <youkaichao@gmail.com>

* update low-latency
Signed-off-by: youkaichao <youkaichao@gmail.com>

* update intranode
Signed-off-by: youkaichao <youkaichao@gmail.com>

* update internode
Signed-off-by: youkaichao <youkaichao@gmail.com>

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Signed-off-by: youkaichao <youkaichao@gmail.com>

* more

* more

* more

* more

* more

* more

* support hidden size 8192

* refactor code

* fix assert

Co-authored-by: zhiyi Hu <zhiyihu@U-NYQQMGK0-2250.local>

enhance warp copy

* Remove memory fence in NVLink barrier.

* Move `__syncthread` and fence into barrier.

* Fix bugs

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Co-authored-by: Chenggang Zhao <chenggangz@deepseek.com>

* Support bias.

* Fix.

* Fix style.

* Add `get_comm_stream`.

* Fix style.

* Add draft

* Add fast-debugging flags

* Fix several bugs

* Add sender timeout checks

* Fix stuck

* Fix bugs

* Fix bugs

* Increase the test round.

* Add warp synchronization.

* Shuffle the send warps.

* Add time elapsed into bench result.

Set `device_id` to suppress pytorch warning.

* Fix the tail loading issue.

* Modify the sync offset.

* Fix warp synchronization.

* Another fix.