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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

Synced Nov 15, 01:00 UTC

[TPU] Start using python 3.12 (#21000)

Signed-off-by: Xiongfei Wei <isaacwxf23@gmail.com>

XiongfeiWei committed Jul 16, 2025 at 19:37 UTC 58760e12b18f8919e265f08c45a6364074280708
4 files changed +9 -10
.buildkite/scripts/hardware_ci/run-tpu-v1-test.sh
+1 -1
@@ -70,7 +70,7 @@ export VLLM_XLA_CACHE_PATH=
70 echo "Using VLLM V1"
71
72 echo "--- Hardware Information ---"
73 -tpu-info
73 +# tpu-info
74 echo "--- Starting Tests ---"
75 set +e
76 overall_script_exit_code=0
docker/Dockerfile.tpu
+2 -2
@@ -1,5 +1,5 @@
1 -ARG NIGHTLY_DATE="20250124"
2 -ARG BASE_IMAGE="us-central1-docker.pkg.dev/tpu-pytorch-releases/docker/xla:nightly_3.10_tpuvm_$NIGHTLY_DATE"
1 +ARG NIGHTLY_DATE="20250714"
2 +ARG BASE_IMAGE="us-central1-docker.pkg.dev/tpu-pytorch-releases/docker/xla:nightly_3.12_tpuvm_$NIGHTLY_DATE"
3
4 FROM $BASE_IMAGE
5 WORKDIR /workspace/vllm
docs/getting_started/installation/google_tpu.md
+2 -2
@@ -37,7 +37,7 @@ information, see [Storage options for Cloud TPU data](https://cloud.devsite.corp
37
38 - Google Cloud TPU VM
39 - TPU versions: v6e, v5e, v5p, v4
40 -- Python: 3.10 or newer
40 +- Python: 3.11 or newer
41
42 ### Provision Cloud TPUs
43
@@ -117,7 +117,7 @@ source ~/.bashrc
117 Create and activate a Conda environment for vLLM:
118
119 ```bash
120 -conda create -n vllm python=3.10 -y
120 +conda create -n vllm python=3.12 -y
121 conda activate vllm
122 ```
123
requirements/tpu.txt
+4 -5
@@ -18,9 +18,8 @@ setuptools==78.1.0
18 --find-links https://storage.googleapis.com/libtpu-releases/index.html
19 --find-links https://storage.googleapis.com/jax-releases/jax_nightly_releases.html
20 --find-links https://storage.googleapis.com/jax-releases/jaxlib_nightly_releases.html
21 -torch==2.9.0.dev20250711
22 -torchvision==0.24.0.dev20250711
23 -torch_xla[tpu, pallas] @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-2.9.0.dev20250711-cp39-cp39-linux_x86_64.whl ; python_version == "3.9"
24 -torch_xla[tpu, pallas] @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-2.9.0.dev20250711-cp310-cp310-linux_x86_64.whl ; python_version == "3.10"
25 -torch_xla[tpu, pallas] @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-2.9.0.dev20250711-cp311-cp311-linux_x86_64.whl ; python_version == "3.11"
21 +torch==2.9.0.dev20250716
22 +torchvision==0.24.0.dev20250716
23 +torch_xla[tpu, pallas] @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-2.9.0.dev20250716-cp311-cp311-linux_x86_64.whl ; python_version == "3.11"
24 +torch_xla[tpu, pallas] @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-2.9.0.dev20250716-cp312-cp312-linux_x86_64.whl ; python_version == "3.12"
25