| 1 | # SPDX-License-Identifier: Apache-2.0 |
| 2 | # SPDX-FileCopyrightText: Copyright contributors to the vLLM project |
| 3 | """Generates specialized requirements files for nightly PyTorch testing. |
| 4 | |
| 5 | This script reads the main test requirements input file (`requirements/test/cuda.in`) |
| 6 | and splits its content into two files: |
| 7 | 1. `requirements/test/nightly-torch.txt`: Contains dependencies |
| 8 | except PyTorch-related. |
| 9 | 2. `torch_nightly_test.txt`: Contains only PyTorch-related packages. |
| 10 | """ |
| 11 | |
| 12 | input_file = "requirements/test/cuda.in" |
| 13 | output_file = "requirements/test/nightly-torch.txt" |
| 14 | |
| 15 | # white list of packages that are not compatible with PyTorch nightly directly |
| 16 | # with pip install. Please add your package to this list if it is not compatible |
| 17 | # or make the dependency test fails. |
| 18 | white_list = ["torch", "torchaudio", "torchvision", "mamba_ssm"] |
| 19 | |
| 20 | with open(input_file) as f: |
| 21 | lines = f.readlines() |
| 22 | |
| 23 | skip_next = False |
| 24 | |
| 25 | for line in lines: |
| 26 | if skip_next: |
| 27 | if line.startswith((" ", "\t")) or line.strip() == "": |
| 28 | continue |
| 29 | skip_next = False |
| 30 | |
| 31 | if any(k in line.lower() for k in white_list): |
| 32 | skip_next = True |
| 33 | continue |