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Enabled high-performance Automatic Tensor Parallelism (auto TP) for the MoE models on multiple GPUs/HPUs #6964

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c9b12af
Reduced the experts allreduce number per layer to ONCE for the Qwen2-…
gyou2021 Jan 21, 2025
590ea36
Fixed format
gyou2021 Jan 21, 2025
889c275
Removed print
gyou2021 Jan 21, 2025
2ec6c34
Fix a bug about set.
gyou2021 Jan 21, 2025
504d696
Add the missing view operations from sequence parallel(async). (#6750)
inkcherry Jan 21, 2025
c266dc9
Update `torch.norm` to `torch.linalg.norm` and `torch.linalg.vector_n…
loadams Jan 21, 2025
ae12993
Using explicit GPU upcast for ZeRO-Offload (#6962)
xylian86 Jan 21, 2025
deb09a3
Update version.txt after 0.16.3 release (#6965)
loadams Jan 21, 2025
128d436
Precisely track nvme optimizer offload (#6963)
tjruwase Jan 23, 2025
864472b
Update build_win.bat script to exclue GDS op as it lacks Windows supp…
loadams Jan 24, 2025
1ac398c
Add CUDA 12.8 support and comment on CUDA 12.7 (#6975)
loadams Jan 28, 2025
eda53d8
Update torch versions to support 2.6 (#6977)
loadams Jan 29, 2025
112a7c6
generalize deepspeed linear and implement it for non cuda systems (#6…
oelayan7 Jan 29, 2025
7d2c5fe
Update recommended Windows whl building versions (#6983)
loadams Jan 30, 2025
f1d326c
Title: Fix setup_env_ranks to Properly Set Environment Variables Inst…
fabiosanger Jan 30, 2025
46545d7
Specify torchvision in nv-ds-chat workflow (prevents errors with torc…
loadams Jan 30, 2025
af1ba94
Remove assumption that padding only occurs on last rank (#6974)
xylian86 Jan 31, 2025
e235921
Use ds-specific module id to avoid conflicts (#6847)
tjruwase Jan 31, 2025
f5e9796
Update A6000 workflows to use newer docker container - 24.09 vs 24.03…
loadams Jan 31, 2025
07634b9
Allow NVIDIA Blackwell (#6991)
fabiendupont Feb 4, 2025
0e57fa0
Update GH org references (#6998)
tjruwase Feb 5, 2025
e86c0c3
Update CNAME
loadams Feb 5, 2025
0d7f0eb
Update CNAME
loadams Feb 5, 2025
cd8a988
[XPU] max1100 workflow update for docker and softwares (#7003)
Liangliang-Ma Feb 5, 2025
18c712f
autotp training(fix dco) (#7004)
inkcherry Feb 5, 2025
c5bf6f6
import triton files when triton is supported and installed (#6989)
oelayan7 Feb 6, 2025
590de5f
Update A6000 tests transformers version (#7016)
loadams Feb 8, 2025
693c39f
Fix ds-chat CI regression (#7015)
tjruwase Feb 10, 2025
322a05a
[Ulysses tutorial] typos (#7024)
stas00 Feb 11, 2025
8869d78
fix hostname -I for macOS #6497 (#6990)
fitzjalen Feb 12, 2025
e4d03af
Update workflows to cuda 12.4 (#7000)
loadams Feb 12, 2025
8c6251d
[ROCm] Enable fp_quantizer on ROCm (#7027)
rraminen Feb 13, 2025
e3e179c
add gds chinese blog (#7034)
GuanhuaWang Feb 13, 2025
fd2787b
Add chinese blog for deepspeed windows, and fix format (#7035)
hwchen2017 Feb 14, 2025
ba8ef57
AIO on ROCM (#7023)
jomayeri Feb 14, 2025
f4b0f58
Control trace cache warnings (#7039)
tjruwase Feb 18, 2025
3ca3e2f
Update CUDA compute capability to support Blackwell (#7047)
hwchen2017 Feb 18, 2025
5612778
Update setup.py handling of ROCm cupy (#7051)
loadams Feb 19, 2025
af8c190
nv-ds-chat breaks with latest transformers (#7052)
loadams Feb 19, 2025
225471a
Rename aio_thread_count to intra_op_parallelism (#7056)
tjruwase Feb 19, 2025
1df293a
add autoTP training zero2 tests (#7049)
inkcherry Feb 19, 2025
94abf68
Fix, bf16 optimizer remove dup loop (#7054)
wukong1992 Feb 20, 2025
4a4ff9b
Update version.txt after 0.16.4 release (#7063)
loadams Feb 20, 2025
e5eda47
fix an outdated doc wrt CUDA_VISIBLE_DEVICES (#7058)
stas00 Feb 20, 2025
675ec9a
Tecorigin sdaa accelerator (#6903)
siqi654321 Feb 20, 2025
81c1fee
Handle special case of libuv for Windows (#7064)
loadams Feb 20, 2025
17f544c
Update README with info on newest accelerator (#7065)
loadams Feb 21, 2025
20fd872
Bug Fix for offload_states API (#7050)
U-rara Feb 21, 2025
0b289a2
Fix TOCTOU issues, switch to fstat (#7067)
loadams Feb 24, 2025
4a86d02
config torch to avoid graph breaks caused by logger (#6999)
ShellyNR Feb 24, 2025
594b5bb
Fix meta load tensor imcompatible issue (#7073)
Yejing-Lai Feb 24, 2025
a843e39
Replace calls to `python setup.py sdist` with `python -m build --sdis…
loadams Feb 24, 2025
4cbc52c
Revert "Handle special case of libuv for Windows (#7064)" (#7076)
loadams Feb 25, 2025
586e436
Add DeepseekV3 AutoTP. (#7045)
Yejing-Lai Feb 26, 2025
5e379ad
Improve inference tutorial docs (#7083)
loadams Feb 26, 2025
13bf866
Added support for the environment variable DS_MOE_EXPERTS_REDUCE_ONCE…
gyou2021 Feb 27, 2025
d5115be
Changed env variable name to 'DS_MOE_TP_SINGLE_ALLREDUCE'
gyou2021 Feb 28, 2025
f0044cb
Pin transformers version on tests that use latest. (#7085)
loadams Feb 27, 2025
16ad5fd
Update README.md with ICS '23 MoE paper link (#7087)
siddharth9820 Feb 27, 2025
47d4420
Update parallelism for nv-torch-latest/nightly tests due to more GPUs…
loadams Feb 27, 2025
b3c64dd
Remove workflows for very old torch versions (#7090)
loadams Feb 28, 2025
9b1fe98
Fixed conflicts
gyou2021 Feb 28, 2025
6b96dd9
Update auto_tp.py
gyou2021 Mar 5, 2025
e7883e7
Merge branch 'master' into autoTP_Qwen2Moe_DeepSeekv2
hwchen2017 Mar 5, 2025
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Update A6000 workflows to use newer docker container - 24.09 vs 24.03 (
…#6967)

- Issues with nv-sd updates, will follow up with a subsequent PR

Signed-off-by: gyou2021 <[email protected]>
  • Loading branch information
loadams authored and gyou2021 committed Feb 28, 2025
commit f5e97963fd52e717ee7aa3c149c5ac123846c6f3
6 changes: 3 additions & 3 deletions .github/workflows/nv-a6000.yml
Original file line number Diff line number Diff line change
Expand Up @@ -23,7 +23,7 @@ jobs:
unit-tests:
runs-on: [self-hosted, nvidia, a6000]
container:
image: nvcr.io/nvidia/pytorch:24.03-py3
image: nvcr.io/nvidia/pytorch:24.09-py3
ports:
- 80
options: --gpus all --shm-size "8G"
Expand Down Expand Up @@ -57,8 +57,8 @@ jobs:
run: |
unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch
cd tests
python -m pytest --color=yes --durations=0 --verbose -rF -m 'inference_v2' unit/ --torch_ver="2.3" --cuda_ver="12"
python -m pytest --color=yes --durations=0 --verbose -rF -m 'inference_v2_ops' unit/ --torch_ver="2.3" --cuda_ver="12"
python -m pytest --color=yes --durations=0 --verbose -rF -m 'inference_v2' unit/ --torch_ver="2.5" --cuda_ver="12"
python -m pytest --color=yes --durations=0 --verbose -rF -m 'inference_v2_ops' unit/ --torch_ver="2.5" --cuda_ver="12"
- name: MII unit tests
run: |
BRANCH="main"
Expand Down
4 changes: 2 additions & 2 deletions .github/workflows/nv-flash-attn.yml
Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@ jobs:
unit-tests:
runs-on: [self-hosted, nvidia, a6000]
container:
image: nvcr.io/nvidia/pytorch:24.03-py3
image: nvcr.io/nvidia/pytorch:24.09-py3
ports:
- 80
options: --gpus all --shm-size "8G"
Expand Down Expand Up @@ -53,7 +53,7 @@ jobs:
run: |
unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch
cd tests
python -m pytest --color=yes --durations=0 --verbose -rF unit/sequence_parallelism/test_ulysses.py --torch_ver="2.3" --cuda_ver="12"
python -m pytest --color=yes --durations=0 --verbose -rF unit/sequence_parallelism/test_ulysses.py --torch_ver="2.5" --cuda_ver="12"
- name: Open GitHub issue if nightly CI fails
if: ${{ failure() && (github.event_name == 'schedule') }}
uses: JasonEtco/create-an-issue@v2
Expand Down
4 changes: 2 additions & 2 deletions .github/workflows/nv-human-eval.yml
Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@ jobs:
unit-tests:
runs-on: [self-hosted, nvidia, a6000]
container:
image: nvcr.io/nvidia/pytorch:24.03-py3
image: nvcr.io/nvidia/pytorch:24.09-py3
ports:
- 80
options: --gpus all --shm-size "8G"
Expand Down Expand Up @@ -50,4 +50,4 @@ jobs:
run: |
unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch
cd tests
python -m pytest --color=yes --durations=0 --verbose -rF -m 'evaluation' -k "test_human_eval" unit/ --torch_ver="2.3" --cuda_ver="12"
python -m pytest --color=yes --durations=0 --verbose -rF -m 'evaluation' -k "test_human_eval" unit/ --torch_ver="2.5" --cuda_ver="12"