mirror of
https://github.com/kvcache-ai/custom_flashinfer.git
synced 2026-07-17 09:08:15 +00:00
<!-- .github/pull_request_template.md --> ## 📌 Description cuda-python is widely used for communication kernels and so on and should be part of our CI docker image. ## 🚀 Pull Request Checklist Thank you for contributing to FlashInfer! Before we review your pull request, please make sure the following items are complete. ### ✅ Pre-commit Checks - [x] I have installed `pre-commit` by running `pip install pre-commit` (or used your preferred method). - [x] I have installed the hooks with `pre-commit install`. - [x] I have run the hooks manually with `pre-commit run --all-files` and fixed any reported issues. > If you are unsure about how to set up `pre-commit`, see [the pre-commit documentation](https://pre-commit.com/). ## 🧪 Tests - [x] Tests have been added or updated as needed. - [x] All tests are passing (`unittest`, etc.). Co-authored-by: yzh119 <zihaoy@nvidia.com>
24 lines
976 B
Bash
24 lines
976 B
Bash
#!/bin/bash
|
|
# Licensed to the Apache Software Foundation (ASF) under one
|
|
# or more contributor license agreements. See the NOTICE file
|
|
# distributed with this work for additional information
|
|
# regarding copyright ownership. The ASF licenses this file
|
|
# to you under the Apache License, Version 2.0 (the
|
|
# "License"); you may not use this file except in compliance
|
|
# with the License. You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing,
|
|
# software distributed under the License is distributed on an
|
|
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
|
|
# KIND, either express or implied. See the License for the
|
|
# specific language governing permissions and limitations
|
|
# under the License.
|
|
|
|
set -e
|
|
set -u
|
|
|
|
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu128
|
|
pip3 install ninja pytest numpy scipy build pynvml cuda-python einops
|