GitLab

Signed-off-by: lijian <34831075+lijian0711@users.noreply.github.com>

Signed-off-by: lijian <34831075+lijian0711@users.noreply.github.com>

Set name='deep_ep' for both SHCA and non-SHCA builds, appending '+shca'
to the version string for SHCA. This keeps pip list and dist-info dir
consistent, with only the whl filename and version differing.
Signed-off-by: lijian <34831075+lijian0711@users.noreply.github.com>

Signed-off-by: lijian <34831075+lijian0711@users.noreply.github.com>

Signed-off-by: lijian <34831075+lijian0711@users.noreply.github.com>

Signed-off-by: lijian <lijian6@sugon.com>

Signed-off-by: lijian <lijian6@sugon.com>

End of hash, 'a' means rocshmem, 'b' means nvshmem.
Signed-off-by: lijian <lijian6@sugon.com>

2. 修改测试脚本，降低显存占用。使用量从17G -> 8G.
Signed-off-by: lijian <lijian6@sugon.com>

Signed-off-by: lijian <lijian6@sugon.com>

Co-authored-by: Yifei Zhang <219273404+yifeizhang-c@users.noreply.github.com>

Responding to review comments.
Signed-off-by: Seth Howell <sethh@nvidia.com>

Signed-off-by: Seth Howell <sethh@nvidia.com>

Signed-off-by: Seth Howell <sethh@nvidia.com>

NVSHMEM 3.3 and above support the host-side features
in the patch.

Note: Removed recv queue support
Signed-off-by: Seth Howell <sethh@nvidia.com>

* 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

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

* Update README

* Update `setup.py`

* Fix headers

* Add `DISABLE_NVSHMEM` for APIs

* Fix launch

* Fix TMA settings

* Fix TMA usages

* Fix dlink

* Separate layout kernels

* Update version

* Add `is_sm90_compiled`

* Fix tests

* Add NVLink connection checks

* Update README

* Fix tests

* Add some comments

* Minor fix

* Minor fix

* Fix bugs

* Add 10.0 to TORCH_CUDA_ARCH_LIST
Signed-off-by: Guyue Huang <guyueh@nvidia.com>

* Revert csrc/CMakeLists change; in setup.py make TORCH_CUDA_ARCH_LIST configurable
Signed-off-by: Guyue Huang <guyueh@nvidia.com>

---------
Signed-off-by: Guyue Huang <guyueh@nvidia.com>