Unverified Commit 4f981e28 authored by ishandhanani's avatar ishandhanani Committed by GitHub
Browse files

feat: sglang update to 0.5.8 (#5655)

parent 65a37708
...@@ -42,7 +42,7 @@ ARG ENABLE_MEDIA_FFMPEG ...@@ -42,7 +42,7 @@ ARG ENABLE_MEDIA_FFMPEG
ARG CARGO_BUILD_JOBS ARG CARGO_BUILD_JOBS
ARG RUNTIME_IMAGE="lmsysorg/sglang" ARG RUNTIME_IMAGE="lmsysorg/sglang"
ARG RUNTIME_IMAGE_TAG="v0.5.7-runtime" ARG RUNTIME_IMAGE_TAG="v0.5.8-runtime"
# SCCACHE configuration # SCCACHE configuration
ARG USE_SCCACHE ARG USE_SCCACHE
...@@ -544,7 +544,7 @@ RUN --mount=type=bind,source=.,target=/mnt/local_src \ ...@@ -544,7 +544,7 @@ RUN --mount=type=bind,source=.,target=/mnt/local_src \
pip install --no-cache-dir --break-system-packages --force-reinstall --no-deps \ pip install --no-cache-dir --break-system-packages --force-reinstall --no-deps \
nvidia-nccl-cu12==2.28.3 \ nvidia-nccl-cu12==2.28.3 \
nvidia-cudnn-cu12==9.16.0.29 \ nvidia-cudnn-cu12==9.16.0.29 \
nvidia-cutlass-dsl==4.3.0; \ nvidia-cutlass-dsl==4.3.5; \
elif [ "$CUDA_MAJOR" = "13" ]; then \ elif [ "$CUDA_MAJOR" = "13" ]; then \
# CUDA 13: Install CuDNN for PyTorch 2.9.1 compatibility # CUDA 13: Install CuDNN for PyTorch 2.9.1 compatibility
pip install --no-cache-dir --break-system-packages --force-reinstall --no-deps \ pip install --no-cache-dir --break-system-packages --force-reinstall --no-deps \
......
...@@ -54,7 +54,7 @@ tensorboardX==2.6.2.2 ...@@ -54,7 +54,7 @@ tensorboardX==2.6.2.2
# Transformers version constraint for container builds # Transformers version constraint for container builds
# - vLLM 0.11.0: >=4.55.2, vLLM 0.11.2: >=4.56.0,<5 # - vLLM 0.11.0: >=4.55.2, vLLM 0.11.2: >=4.56.0,<5
# - TensorRT-LLM 1.2.0rc6.post2: ==4.57.1 # - TensorRT-LLM 1.2.0rc6.post2: ==4.57.1
# - SGLang 0.5.7: ==4.57.1 # - SGLang 0.5.8: ==4.57.1
# Using >=4.56.0 to satisfy all frameworks # Using >=4.56.0 to satisfy all frameworks
transformers>=4.56.0 transformers>=4.56.0
types-aiofiles==25.1.0.20251011 types-aiofiles==25.1.0.20251011
......
...@@ -17,7 +17,7 @@ The following table shows the backend framework versions included with each Dyna ...@@ -17,7 +17,7 @@ The following table shows the backend framework versions included with each Dyna
| **Dependency** | **main (ToT)** | **v0.8.1.post1** | **v0.8.1 (latest)** | **v0.8.0** | **v0.7.1** | **v0.7.0.post1** | **v0.7.0** | | **Dependency** | **main (ToT)** | **v0.8.1.post1** | **v0.8.1 (latest)** | **v0.8.0** | **v0.7.1** | **v0.7.0.post1** | **v0.7.0** |
| :------------- | :------------- | :--------------- | :------------------ | :--------- | :--------- | :--------------- | :--------- | | :------------- | :------------- | :--------------- | :------------------ | :--------- | :--------- | :--------------- | :--------- |
| vLLM | `0.14.0` | `0.12.0` | `0.12.0` | `0.12.0` | `0.11.0` | `0.11.0` | `0.11.0` | | vLLM | `0.14.0` | `0.12.0` | `0.12.0` | `0.12.0` | `0.11.0` | `0.11.0` | `0.11.0` |
| SGLang | `0.5.7` | `0.5.6.post2` | `0.5.6.post2` | `0.5.6.post2` | `0.5.3.post4` | `0.5.3.post4` | `0.5.3.post4` | | SGLang | `0.5.8` | `0.5.6.post2` | `0.5.6.post2` | `0.5.6.post2` | `0.5.3.post4` | `0.5.3.post4` | `0.5.3.post4` |
| TensorRT-LLM | `1.2.0rc6.post2` | `1.2.0rc6.post2` | `1.2.0rc6.post1` | `1.2.0rc6.post1` | `1.2.0rc3` | `1.2.0rc3` | `1.2.0rc2` | | TensorRT-LLM | `1.2.0rc6.post2` | `1.2.0rc6.post2` | `1.2.0rc6.post1` | `1.2.0rc6.post1` | `1.2.0rc3` | `1.2.0rc3` | `1.2.0rc2` |
| NIXL | `0.9.0` | `0.8.0` | `0.8.0` | `0.8.0` | `0.8.0` | `0.8.0` | `0.8.0` | | NIXL | `0.9.0` | `0.8.0` | `0.8.0` | `0.8.0` | `0.8.0` | `0.8.0` | `0.8.0` |
......
...@@ -61,7 +61,7 @@ vllm = [ ...@@ -61,7 +61,7 @@ vllm = [
sglang = [ sglang = [
"uvloop", "uvloop",
"sglang==0.5.7", "sglang==0.5.8",
"nixl[cu12]<=0.9.0", "nixl[cu12]<=0.9.0",
"cupy-cuda12x>=13.0.0", "cupy-cuda12x>=13.0.0",
] ]
......
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