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Torch integration (#692)

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Reorganize current native algorithm implementation and DSL algorithm
implementation.
Provide unified API for DSL algo and native algo and provide interface
to tune the algo
Provide interface for pytorch integration with native API and DSL

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Copilot <198982749+Copilot@users.noreply.github.com>
Co-authored-by: chhwang <8018170+chhwang@users.noreply.github.com>
This commit is contained in:
Binyang Li
2026-01-21 20:32:24 -08:00
committed by GitHub
parent 78ce9fac8d
commit a707273701
156 changed files with 6107 additions and 4076 deletions
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4
python/test/executor_test.py
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@@ -10,7 +10,7 @@ from mscclpp import (
npkit,
env,
)
import mscclpp.comm as mscclpp_comm
from mscclpp import CommGroup, GpuBuffer
from mscclpp.utils import KernelBuilder, GpuBuffer, pack
import os
import struct
@@ -180,7 +180,7 @@ def main(
n_iters: int = 10,
n_graph_iters: int = 10,
):
mscclpp_group = mscclpp_comm.CommGroup(MPI.COMM_WORLD)
mscclpp_group = CommGroup(MPI.COMM_WORLD)
cp.cuda.Device(mscclpp_group.my_rank % mscclpp_group.nranks_per_node).use()
executor = Executor(mscclpp_group.communicator)
npkit_dump_dir = env().npkit_dump_dir