feat: use flashinfer jit package (#5547)
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16
.github/workflows/pr-test.yml
vendored
16
.github/workflows/pr-test.yml
vendored
@@ -38,8 +38,6 @@ jobs:
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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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@@ -62,8 +60,6 @@ jobs:
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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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@@ -82,8 +78,6 @@ jobs:
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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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@@ -102,8 +96,6 @@ jobs:
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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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@@ -146,8 +138,6 @@ jobs:
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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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@@ -178,8 +168,6 @@ jobs:
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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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@@ -216,8 +204,6 @@ jobs:
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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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@@ -239,8 +225,6 @@ jobs:
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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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2
.github/workflows/vllm-dependency-test.yml
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2
.github/workflows/vllm-dependency-test.yml
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@@ -28,8 +28,6 @@ jobs:
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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: '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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pip install "vllm>=0.6.4.post1,<=0.7.2"
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@@ -11,7 +11,7 @@ It is recommended to use uv to install the dependencies for faster installation:
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```bash
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pip install --upgrade pip
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pip install uv
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uv pip install "sglang[all]>=0.4.5.post1" --find-links https://flashinfer.ai/whl/cu124/torch2.5/flashinfer-python
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uv pip install "sglang[all]>=0.4.5.post1"
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```
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**Quick Fixes to Common Problems**
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@@ -23,7 +23,7 @@ uv pip install "sglang[all]>=0.4.5.post1" --find-links https://flashinfer.ai/whl
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1. Use `export CUDA_HOME=/usr/local/cuda-<your-cuda-version>` to set the `CUDA_HOME` environment variable.
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2. Install FlashInfer first following [FlashInfer installation doc](https://docs.flashinfer.ai/installation.html), then install SGLang as described above.
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- If you encounter `ImportError; cannot import name 'is_valid_list_of_images' from 'transformers.models.llama.image_processing_llama'`, try to use the specified version of `transformers` in [pyproject.toml](https://github.com/sgl-project/sglang/blob/main/python/pyproject.toml). Currently, just running `pip install transformers==4.48.3`.
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- If you encounter `ImportError; cannot import name 'is_valid_list_of_images' from 'transformers.models.llama.image_processing_llama'`, try to use the specified version of `transformers` in [pyproject.toml](https://github.com/sgl-project/sglang/blob/main/python/pyproject.toml). Currently, just running `pip install transformers==4.51.1`.
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## Method 2: From source
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@@ -33,7 +33,7 @@ git clone -b v0.4.5.post1 https://github.com/sgl-project/sglang.git
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cd sglang
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pip install --upgrade pip
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pip install -e "python[all]" --find-links https://flashinfer.ai/whl/cu124/torch2.5/flashinfer-python
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pip install -e "python[all]"
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```
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Note: SGLang currently uses torch 2.5, so you need to install flashinfer for torch 2.5. If you want to install flashinfer separately, please refer to [FlashInfer installation doc](https://docs.flashinfer.ai/installation.html).
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@@ -2,9 +2,6 @@
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# Install the dependency in CI.
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set -euxo pipefail
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# Use repo from environment variables, passed from GitHub Actions
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FLASHINFER_REPO="${FLASHINFER_REPO:-https://flashinfer.ai/whl/cu124/torch2.5/flashinfer-python}"
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SCRIPT_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"
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bash "${SCRIPT_DIR}/killall_sglang.sh"
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@@ -18,12 +15,11 @@ rm -rf /usr/local/lib/python3.10/dist-packages/sgl_kernel*
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# Update pip
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pip install --upgrade pip
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# Install flashinfer and sgl-kernel
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pip install flashinfer_python==0.2.3 --find-links ${FLASHINFER_REPO} --no-cache-dir
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# Install sgl-kernel
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pip install sgl-kernel==0.0.9.post2 --no-cache-dir
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# Install the main package
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pip install -e "python[all]" --find-links ${FLASHINFER_REPO}
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pip install -e "python[all]"
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# Install additional dependencies
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pip install torch_memory_saver
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