320 lines
10 KiB
YAML
320 lines
10 KiB
YAML
name: PR Test
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on:
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push:
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branches: [ main ]
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paths:
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- "python/**"
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- "scripts/**"
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- "test/**"
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pull_request:
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branches: [ main ]
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paths:
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- "python/**"
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- "scripts/**"
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- "test/**"
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workflow_dispatch:
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inputs:
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version:
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description: "FlashInfer version"
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required: true
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type: choice
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default: 'release'
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options:
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- 'release'
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- 'nightly'
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concurrency:
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group: pr-test-${{ github.ref }}
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cancel-in-progress: true
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jobs:
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unit-test-frontend:
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if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') &&
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github.event.pull_request.draft == false
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runs-on: 1-gpu-runner
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Install dependencies
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env:
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FLASHINFER_REPO: ${{ inputs.version == 'nightly' && 'https://flashinfer.ai/whl/nightly/cu124/torch2.5/flashinfer-python' || 'https://flashinfer.ai/whl/cu124/torch2.5/flashinfer-python' }}
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run: |
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bash scripts/ci_install_dependency.sh
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- name: Run test
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timeout-minutes: 10
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run: |
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cd test/lang
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python3 run_suite.py --suite per-commit
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unit-test-backend-1-gpu:
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if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') &&
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github.event.pull_request.draft == false
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runs-on: 1-gpu-runner
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strategy:
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fail-fast: false
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matrix:
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part: [0, 1, 2, 3, 4, 5, 6]
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Install dependencies
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env:
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FLASHINFER_REPO: ${{ inputs.version == 'nightly' && 'https://flashinfer.ai/whl/nightly/cu124/torch2.5/flashinfer-python' || 'https://flashinfer.ai/whl/cu124/torch2.5/flashinfer-python' }}
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run: |
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bash scripts/ci_install_dependency.sh
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- name: Run test
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timeout-minutes: 30
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run: |
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cd test/srt
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python3 run_suite.py --suite per-commit --auto-partition-id ${{ matrix.part }} --auto-partition-size 7
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unit-test-backend-2-gpu:
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if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') &&
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github.event.pull_request.draft == false
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runs-on: 2-gpu-runner
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Install dependencies
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env:
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FLASHINFER_REPO: ${{ inputs.version == 'nightly' && 'https://flashinfer.ai/whl/nightly/cu124/torch2.5/flashinfer-python' || 'https://flashinfer.ai/whl/cu124/torch2.5/flashinfer-python' }}
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run: |
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bash scripts/ci_install_dependency.sh
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- name: Test data parallelism (DP=2)
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timeout-minutes: 10
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run: |
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cd test/srt
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python3 test_data_parallelism.py
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- name: Test data parallelism attention (DP=2)
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timeout-minutes: 10
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run: |
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cd test/srt
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python3 test_dp_attention.py
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- name: Test update weights from distributed
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timeout-minutes: 10
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run: |
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cd test/srt
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python3 test_update_weights_from_distributed.py
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- name: Test VerlEngine
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timeout-minutes: 10
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run: |
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cd test/srt
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python3 test_verl_engine.py
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- name: Test Patch Torch
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timeout-minutes: 10
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run: |
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cd test/srt
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python3 test_patch_torch.py
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- name: Test expert parallelism (EP=2)
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timeout-minutes: 10
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run: |
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cd test/srt
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python3 test_moe_ep.py
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- name: Test torch compile (TP=2)
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timeout-minutes: 10
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run: |
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cd test/srt
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python3 test_mla_tp.py
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- name: Test lora tensor parallelism (TP=2)
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timeout-minutes: 10
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run: |
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cd test/srt/models/lora
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python3 test_lora_tp.py
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performance-test-1-gpu-part-1:
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if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') &&
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github.event.pull_request.draft == false
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runs-on: 1-gpu-runner
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Install dependencies
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env:
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FLASHINFER_REPO: ${{ inputs.version == 'nightly' && 'https://flashinfer.ai/whl/nightly/cu124/torch2.5/flashinfer-python' || 'https://flashinfer.ai/whl/cu124/torch2.5/flashinfer-python' }}
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run: |
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bash scripts/ci_install_dependency.sh
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- name: Benchmark single latency
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timeout-minutes: 10
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run: |
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cd test/srt
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python3 -m unittest test_bench_one_batch.TestBenchOneBatch.test_bs1
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- name: Benchmark online latency
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timeout-minutes: 10
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run: |
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cd test/srt
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python3 -m unittest test_bench_serving.TestBenchServing.test_online_latency_default
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- name: Benchmark offline throughput
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timeout-minutes: 10
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run: |
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cd test/srt
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python3 -m unittest test_bench_serving.TestBenchServing.test_offline_throughput_default
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- name: Benchmark offline throughput (Non-streaming, small batch size)
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timeout-minutes: 10
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run: |
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cd test/srt
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python3 -m unittest test_bench_serving.TestBenchServing.test_offline_throughput_non_stream_small_batch_size
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- name: Benchmark online latency (EAGLE)
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timeout-minutes: 10
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run: |
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cd test/srt
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python3 -m unittest test_bench_serving.TestBenchServing.test_online_latency_eagle
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performance-test-1-gpu-part-2:
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if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') &&
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github.event.pull_request.draft == false
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runs-on: 1-gpu-runner
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Install dependencies
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env:
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FLASHINFER_REPO: ${{ inputs.version == 'nightly' && 'https://flashinfer.ai/whl/nightly/cu124/torch2.5/flashinfer-python' || 'https://flashinfer.ai/whl/cu124/torch2.5/flashinfer-python' }}
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run: |
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bash scripts/ci_install_dependency.sh
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- name: Benchmark offline throughput (w/o RadixAttention)
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timeout-minutes: 10
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run: |
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cd test/srt
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python3 -m unittest test_bench_serving.TestBenchServing.test_offline_throughput_without_radix_cache
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- name: Benchmark offline throughput (w/ Triton)
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timeout-minutes: 10
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run: |
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cd test/srt
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python3 -m unittest test_bench_serving.TestBenchServing.test_offline_throughput_with_triton_attention_backend
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- name: Benchmark offline throughput (w/ FP8)
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timeout-minutes: 10
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run: |
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cd test/srt
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python3 -m unittest test_bench_serving.TestBenchServing.test_offline_throughput_default_fp8
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performance-test-2-gpu:
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if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') &&
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github.event.pull_request.draft == false
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runs-on: 2-gpu-runner
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Install dependencies
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env:
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FLASHINFER_REPO: ${{ inputs.version == 'nightly' && 'https://flashinfer.ai/whl/nightly/cu124/torch2.5/flashinfer-python' || 'https://flashinfer.ai/whl/cu124/torch2.5/flashinfer-python' }}
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run: |
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bash scripts/ci_install_dependency.sh
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- name: Benchmark single latency (TP=2)
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timeout-minutes: 10
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run: |
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cd test/srt
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USE_VLLM_CUSTOM_ALLREDUCE=1 python3 -m unittest test_bench_one_batch.TestBenchOneBatch.test_moe_tp2_bs1
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python3 -m unittest test_bench_one_batch.TestBenchOneBatch.test_moe_tp2_bs1
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- name: Benchmark single latency + torch.compile (TP=2)
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timeout-minutes: 10
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run: |
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cd test/srt
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python3 -m unittest test_bench_one_batch.TestBenchOneBatch.test_torch_compile_tp2_bs1
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- name: Benchmark offline throughput (TP=2)
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timeout-minutes: 10
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run: |
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cd test/srt
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python3 -m unittest test_bench_serving.TestBenchServing.test_moe_offline_throughput_default
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- name: Benchmark offline throughput (w/o RadixAttention) (TP=2)
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timeout-minutes: 10
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run: |
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cd test/srt
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python3 -m unittest test_bench_serving.TestBenchServing.test_moe_offline_throughput_without_radix_cache
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accuracy-test-1-gpu:
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if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') &&
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github.event.pull_request.draft == false
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runs-on: 1-gpu-runner
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Install dependencies
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env:
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FLASHINFER_REPO: ${{ inputs.version == 'nightly' && 'https://flashinfer.ai/whl/nightly/cu124/torch2.5/flashinfer-python' || 'https://flashinfer.ai/whl/cu124/torch2.5/flashinfer-python' }}
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run: |
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bash scripts/ci_install_dependency.sh
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git clone https://github.com/merrymercy/human-eval.git
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cd human-eval
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pip install -e .
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- name: Evaluate accuracy
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timeout-minutes: 20
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run: |
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cd test/srt
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python3 test_eval_accuracy_large.py
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accuracy-test-2-gpu:
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if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') &&
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github.event.pull_request.draft == false
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runs-on: 2-gpu-runner
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Install dependencies
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env:
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FLASHINFER_REPO: ${{ inputs.version == 'nightly' && 'https://flashinfer.ai/whl/nightly/cu124/torch2.5/flashinfer-python' || 'https://flashinfer.ai/whl/cu124/torch2.5/flashinfer-python' }}
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run: |
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bash scripts/ci_install_dependency.sh
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git clone https://github.com/merrymercy/human-eval.git
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cd human-eval
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pip install -e .
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- name: Evaluate accuracy (TP=2)
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timeout-minutes: 20
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run: |
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cd test/srt
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python3 test_moe_eval_accuracy_large.py
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finish:
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if: always()
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needs: [
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unit-test-frontend, unit-test-backend-1-gpu, unit-test-backend-2-gpu,
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performance-test-1-gpu-part-1, performance-test-1-gpu-part-2, performance-test-2-gpu,
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accuracy-test-1-gpu, accuracy-test-2-gpu
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]
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runs-on: ubuntu-latest
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steps:
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- name: Check all dependent job statuses
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run: |
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results=(${{ join(needs.*.result, ' ') }})
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for result in "${results[@]}"; do
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if [ "$result" = "failure" ] || [ "$result" = "cancelled" ]; then
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echo "Job failed with result: $result"
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exit 1
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fi
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done
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echo "All jobs completed successfully"
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exit 0
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