[diffusion] chore: change default seed to 42 (#23836)

This commit is contained in:
Mick
2026-04-28 20:39:23 +08:00
committed by GitHub
parent 69a71219cb
commit 144038fbae
17 changed files with 339 additions and 115 deletions
+64 -10
View File
@@ -38,12 +38,49 @@ env:
OUTPUT_NAME: ${{ inputs.output_name || 'diffusion-ci-outputs' }}
jobs:
multimodal-diffusion-gen-1gpu:
compute-diffusion-partitions:
if: github.repository == 'sgl-project/sglang'
runs-on: ubuntu-latest
outputs:
matrix-1gpu: ${{ steps.compute.outputs.matrix-1gpu }}
matrix-2gpu: ${{ steps.compute.outputs.matrix-2gpu }}
matrix-b200: ${{ steps.compute.outputs.matrix-b200 }}
partition-count-1gpu: ${{ steps.compute.outputs['partition-count-1gpu'] }}
partition-count-2gpu: ${{ steps.compute.outputs['partition-count-2gpu'] }}
partition-count-b200: ${{ steps.compute.outputs['partition-count-b200'] }}
plan-1gpu: ${{ steps.compute.outputs.plan-1gpu }}
plan-2gpu: ${{ steps.compute.outputs.plan-2gpu }}
plan-b200: ${{ steps.compute.outputs.plan-b200 }}
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ inputs.ref || github.ref }}
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.10'
- name: Compute partitions
id: compute
run: |
python scripts/ci/utils/diffusion/compute_diffusion_partitions.py \
--min-time 1200 \
--target-time 1800 \
--max-time 2400 \
--max-partitions 10 \
--parametrized-only
multimodal-diffusion-gen-1gpu:
needs: compute-diffusion-partitions
if: |
needs.compute-diffusion-partitions.result == 'success' &&
needs.compute-diffusion-partitions.outputs.matrix-1gpu != '{"include":[]}'
runs-on: 1-gpu-h100
strategy:
matrix:
part: [0, 1]
fail-fast: false
matrix: ${{ fromJson(needs.compute-diffusion-partitions.outputs.matrix-1gpu) }}
timeout-minutes: 150
steps:
- name: Checkout code
@@ -75,12 +112,14 @@ jobs:
- name: Generate outputs
env:
RUNAI_STREAMER_MEMORY_LIMIT: 0
PARTITION_PLAN_JSON: ${{ needs.compute-diffusion-partitions.outputs.plan-1gpu }}
run: |
cd python
python -m sglang.multimodal_gen.test.scripts.gen_diffusion_ci_outputs \
--suite 1-gpu \
--partition-id ${{ matrix.part }} \
--total-partitions 2 \
--total-partitions ${{ needs.compute-diffusion-partitions.outputs['partition-count-1gpu'] }} \
--partition-plan-json "$PARTITION_PLAN_JSON" \
--out-dir ./${{ env.OUTPUT_NAME }} \
${{ inputs.case_ids != '' && format('--case-ids {0}', inputs.case_ids) || '' }}
@@ -100,11 +139,14 @@ jobs:
${{ inputs.output_name != '' && format('--target-dir diffusion-ci/{0}', inputs.output_name) || '' }}
multimodal-diffusion-gen-2gpu:
if: github.repository == 'sgl-project/sglang'
needs: compute-diffusion-partitions
if: |
needs.compute-diffusion-partitions.result == 'success' &&
needs.compute-diffusion-partitions.outputs.matrix-2gpu != '{"include":[]}'
runs-on: 2-gpu-h100
strategy:
matrix:
part: [0, 1]
fail-fast: false
matrix: ${{ fromJson(needs.compute-diffusion-partitions.outputs.matrix-2gpu) }}
timeout-minutes: 150
steps:
- name: Checkout code
@@ -136,12 +178,14 @@ jobs:
- name: Generate outputs
env:
RUNAI_STREAMER_MEMORY_LIMIT: 0
PARTITION_PLAN_JSON: ${{ needs.compute-diffusion-partitions.outputs.plan-2gpu }}
run: |
cd python
python -m sglang.multimodal_gen.test.scripts.gen_diffusion_ci_outputs \
--suite 2-gpu \
--partition-id ${{ matrix.part }} \
--total-partitions 2 \
--total-partitions ${{ needs.compute-diffusion-partitions.outputs['partition-count-2gpu'] }} \
--partition-plan-json "$PARTITION_PLAN_JSON" \
--out-dir ./${{ env.OUTPUT_NAME }} \
${{ inputs.case_ids != '' && format('--case-ids {0}', inputs.case_ids) || '' }}
@@ -161,8 +205,14 @@ jobs:
${{ inputs.output_name != '' && format('--target-dir diffusion-ci/{0}', inputs.output_name) || '' }}
multimodal-diffusion-gen-b200:
if: github.repository == 'sgl-project/sglang'
needs: compute-diffusion-partitions
if: |
needs.compute-diffusion-partitions.result == 'success' &&
needs.compute-diffusion-partitions.outputs.matrix-b200 != '{"include":[]}'
runs-on: 4-gpu-b200
strategy:
fail-fast: false
matrix: ${{ fromJson(needs.compute-diffusion-partitions.outputs.matrix-b200) }}
timeout-minutes: 240
steps:
- name: Checkout code
@@ -194,17 +244,21 @@ jobs:
- name: Generate outputs
env:
RUNAI_STREAMER_MEMORY_LIMIT: 0
PARTITION_PLAN_JSON: ${{ needs.compute-diffusion-partitions.outputs.plan-b200 }}
run: |
cd python
python -m sglang.multimodal_gen.test.scripts.gen_diffusion_ci_outputs \
--suite 1-gpu-b200 \
--partition-id ${{ matrix.part }} \
--total-partitions ${{ needs.compute-diffusion-partitions.outputs['partition-count-b200'] }} \
--partition-plan-json "$PARTITION_PLAN_JSON" \
--out-dir ./${{ env.OUTPUT_NAME }} \
${{ inputs.case_ids != '' && format('--case-ids {0}', inputs.case_ids) || '' }}
- name: Upload artifact
uses: actions/upload-artifact@v4
with:
name: ${{ env.OUTPUT_NAME }}-b200
name: ${{ env.OUTPUT_NAME }}-b200-part${{ matrix.part }}
path: python/${{ env.OUTPUT_NAME }}
retention-days: 7
+1 -1
View File
@@ -80,7 +80,7 @@ jobs:
- name: Compute partitions
id: compute
run: |
python scripts/ci/utils/diffusion/compute_diffusion_partitions.py --min-time 1200 --target-time 1800 --max-time 2400 --max-partitions 10
python scripts/ci/utils/diffusion/compute_diffusion_partitions.py --min-time 1200 --target-time 1800 --max-time 2400 --max-partitions 10 --parametrized-only
multimodal-gen-test-1-gpu:
needs: compute-diffusion-partitions
+1 -1
View File
@@ -138,7 +138,7 @@ jobs:
- ".github/workflows/pr-gate.yml"
- ".github/actions/**"
- "python/pyproject.toml"
- "python/sglang/!(multimodal_gen|jit_kernel/diffusion|jit_kernel/tests/diffusion|jit_kernel/benchmark/diffusion|cli)/**/!(*.md)"
- "python/sglang/!(multimodal_gen)/**/!(*.md)"
- "scripts/ci/cuda/*"
- "scripts/ci/utils/*"
- "test/**/!(*.md)"