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run test_everything.sh in float8 test CI using linux.aws.h100.4
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.github/workflows/float8_test.yml

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@@ -29,7 +29,7 @@ jobs:
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gpu-arch-type: "cuda"
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gpu-arch-version: "12.6"
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- name: H100
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runs-on: linux.aws.h100
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runs-on: linux.aws.h100.4
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torch-spec: '--pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu126'
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gpu-arch-type: "cuda"
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gpu-arch-version: "12.4"
@@ -53,6 +53,11 @@ jobs:
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uv pip install -r dev-requirements.txt
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uv pip install vllm
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pip install .
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pytest test/float8 --verbose -s
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pytest test/integration --verbose -s
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pytest test/dtypes/test_affine_quantized_float.py --verbose -s
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GPU_COUNT=$(nvidia-smi -L 2>/dev/null | wc -l)
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if [ "$GPU_COUNT" -ge 4 ]; then
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echo "Found $GPU_COUNT GPUs - running test_everything.sh"
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./test/float8/test_everything.sh
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else
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echo "Only $GPU_COUNT GPUs available. Need at least 4 GPUs to run test_everything.sh"
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exit 1
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fi

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