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Update A6000 workflows to use newer docker container - 24.09 vs 24.03 #6967

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merged 12 commits into from
Feb 1, 2025
Merged

Update A6000 workflows to use newer docker container - 24.09 vs 24.03 #6967

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d92fd52
Update A6000 workflows to use newer docker container - 24.09 vs 24.03
loadams Jan 22, 2025
596c95e
Update pytest
loadams Jan 22, 2025
84eeb33
Numpy 1.25.4 required for nv-sd tests
loadams Jan 22, 2025
bfd41f8
Update workflows to 24.06
loadams Jan 24, 2025
5e5b168
Merge branch 'master' into loadams/update-a6000-workflows
loadams Jan 24, 2025
f1c62a5
Update torch version
loadams Jan 24, 2025
42e1924
Update tests
loadams Jan 24, 2025
366d106
Merge branch 'master' into loadams/update-a6000-workflows
loadams Jan 24, 2025
35dda5b
Merge branch 'master' into loadams/update-a6000-workflows
loadams Jan 29, 2025
84aeff1
Merge branch 'master' into loadams/update-a6000-workflows
loadams Jan 31, 2025
83c5681
Merge branch 'master' into loadams/update-a6000-workflows
loadams Jan 31, 2025
0089060
Update back to original version
loadams Jan 31, 2025
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6 changes: 3 additions & 3 deletions .github/workflows/nv-a6000.yml
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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
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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
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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"