Add structure to `requirements/` directory (#39024)

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
Co-authored-by: Robert Shaw <114415538+robertgshaw2-redhat@users.noreply.github.com>

docs/getting_started/installation/cpu.arm.inc.md

@@ -96,14 +96,14 @@ cd vllm_source
 Third, install required dependencies:
 
 ```bash
-uv pip install -r requirements/cpu-build.txt --torch-backend cpu
+uv pip install -r requirements/build/cpu.txt --torch-backend cpu
 uv pip install -r requirements/cpu.txt --torch-backend cpu
 ```
 
 ??? console "pip"
     ```bash
     pip install --upgrade pip
-    pip install -v -r requirements/cpu-build.txt --extra-index-url https://download.pytorch.org/whl/cpu
+    pip install -v -r requirements/build/cpu.txt --extra-index-url https://download.pytorch.org/whl/cpu
     pip install -v -r requirements/cpu.txt --extra-index-url https://download.pytorch.org/whl/cpu
     ```
 

docs/getting_started/installation/cpu.s390x.inc.md

@@ -46,10 +46,10 @@ Execute the following commands to build and install vLLM from source.
     Please build the following dependencies, `torchvision`, `pyarrow` from source before building vLLM.
 
 ```bash
-    sed -i '/^torch/d' requirements/build.txt    # remove torch from requirements/build.txt since we use nightly builds
+    sed -i '/^torch/d' requirements/build/cuda.txt    # remove torch from requirements/build/cuda.txt since we use nightly builds
     uv pip install -v \
         --torch-backend auto \
-        -r requirements/build.txt \
+        -r requirements/build/cuda.txt \
         -r requirements/cpu.txt \
     VLLM_TARGET_DEVICE=cpu python setup.py bdist_wheel && \
         uv pip install dist/*.whl
@@ -57,10 +57,10 @@ Execute the following commands to build and install vLLM from source.
 
 ??? console "pip"
     ```bash
-        sed -i '/^torch/d' requirements/build.txt    # remove torch from requirements/build.txt since we use nightly builds
+        sed -i '/^torch/d' requirements/build/cuda.txt    # remove torch from requirements/build/cuda.txt since we use nightly builds
         pip install -v \
             --extra-index-url https://download.pytorch.org/whl/nightly/cpu \
-            -r requirements/build.txt \
+            -r requirements/build/cuda.txt \
             -r requirements/cpu.txt \
         VLLM_TARGET_DEVICE=cpu python setup.py bdist_wheel && \
             pip install dist/*.whl

docs/getting_started/installation/cpu.x86.inc.md

@@ -88,14 +88,14 @@ cd vllm_source
 Install the required dependencies:
 
 ```bash
-uv pip install -r requirements/cpu-build.txt --torch-backend cpu
+uv pip install -r requirements/build/cpu.txt --torch-backend cpu
 uv pip install -r requirements/cpu.txt --torch-backend cpu
 ```
 
 ??? console "pip"
     ```bash
     pip install --upgrade pip
-    pip install -v -r requirements/cpu-build.txt --extra-index-url https://download.pytorch.org/whl/cpu
+    pip install -v -r requirements/build/cpu.txt --extra-index-url https://download.pytorch.org/whl/cpu
     pip install -v -r requirements/cpu.txt --extra-index-url https://download.pytorch.org/whl/cpu
     ```
 

docs/getting_started/installation/gpu.cuda.inc.md

@@ -162,7 +162,7 @@ To build vLLM using an existing PyTorch installation:
 git clone https://github.com/vllm-project/vllm.git
 cd vllm
 python use_existing_torch.py
-uv pip install -r requirements/build.txt
+uv pip install -r requirements/build/cuda.txt
 uv pip install --no-build-isolation -e .
 ```
 

docs/mkdocs/hooks/generate_argparse.py

@@ -46,7 +46,7 @@ mock_if_no_torch(
 
 
 # Mock any version checks by reading from compiled CI requirements
-with open(ROOT_DIR / "requirements/test.txt") as f:
+with open(ROOT_DIR / "requirements/test/cuda.txt") as f:
     VERSIONS = dict(line.strip().split("==") for line in f if "==" in line)
 importlib.metadata.version = lambda name: VERSIONS.get(name) or "0.0.0"
 

pyproject.toml

 [build-system]
-# Should be mirrored in requirements/build.txt
+# Should be mirrored in requirements/build/cuda.txt
 requires = [
     "cmake>=3.26.1",
     "ninja",

requirements/rocm-build.txt → requirements/build/rocm.txt

 # Common dependencies
--r common.txt
+-r ../common.txt
 
 
 --extra-index-url https://download.pytorch.org/whl/rocm7.1

requirements/dev.txt

 -r lint.txt
--r test.txt
+-r test/cuda.txt
 
 # Avoid adding requirements directly to this file.
 # Instead, modify the two files referenced above.

requirements/test.txt → requirements/test/cuda.txt

 # This file was autogenerated by uv via the following command:
-#    uv pip compile requirements/test.in -c requirements/common.txt -o requirements/test.txt --index-strategy unsafe-best-match --torch-backend cu130 --python-platform x86_64-manylinux_2_28 --python-version 3.12
+#    uv pip compile requirements/test/cuda.in -c requirements/cuda.txt -o requirements/test/cuda.txt --index-strategy unsafe-best-match --torch-backend cu130 --python-platform x86_64-manylinux_2_28 --python-version 3.12
 absl-py==2.1.0
     # via
     #   rouge-score
@@ -29,7 +29,7 @@ albucore==0.0.16
     # via terratorch
 albumentations==1.4.6
     # via
-    #   -r requirements/test.in
+    #   -r requirements/test/cuda.in
     #   terratorch
 alembic==1.16.4
     # via optuna
@@ -46,7 +46,7 @@ anyio==4.6.2.post1
     #   httpx
     #   starlette
 arctic-inference==0.1.1
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 argcomplete==3.5.1
     # via datamodel-code-generator
 arrow==1.3.0
@@ -64,7 +64,7 @@ attrs==24.2.0
 audioread==3.0.1
     # via librosa
 av==16.1.0
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 azure-core==1.38.2
     # via
     #   azure-identity
@@ -75,16 +75,16 @@ azure-storage-blob==12.28.0
     # via runai-model-streamer-azure
 backoff==2.2.1
     # via
-    #   -r requirements/test.in
+    #   -r requirements/test/cuda.in
     #   schemathesis
 bitsandbytes==0.49.2
     # via
-    #   -r requirements/test.in
+    #   -r requirements/test/cuda.in
     #   lightning
 black==24.10.0
     # via datamodel-code-generator
 blobfile==3.0.0
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 bm25s==0.2.13
     # via mteb
 boto3==1.35.57
@@ -98,7 +98,7 @@ botocore==1.35.57
 bounded-pool-executor==0.0.3
     # via pqdm
 buildkite-test-collector==0.1.9
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 cachetools==5.5.2
     # via google-auth
 certifi==2024.8.30
@@ -176,21 +176,21 @@ cupy-cuda12x==13.6.0
 cycler==0.12.1
     # via matplotlib
 datamodel-code-generator==0.26.3
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 dataproperty==1.0.1
     # via
     #   pytablewriter
     #   tabledata
 datasets==3.3.0
     # via
-    #   -r requirements/test.in
+    #   -r requirements/test/cuda.in
     #   evaluate
     #   lm-eval
     #   mteb
 decorator==5.1.1
     # via librosa
 decord==0.6.0
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 diffusers==0.36.0
     # via terratorch
 dill==0.3.8
@@ -211,7 +211,7 @@ docstring-parser==0.17.0
     # via jsonargparse
 einops==0.8.1
     # via
-    #   -r requirements/test.in
+    #   -r requirements/test/cuda.in
     #   encodec
     #   terratorch
     #   torchgeo
@@ -236,7 +236,9 @@ fastparquet==2024.11.0
 fastrlock==0.8.2
     # via cupy-cuda12x
 fastsafetensors==0.2.2
-    # via -r requirements/test.in
+    # via
+    #   -c requirements/cuda.txt
+    #   -r requirements/test/cuda.in
 filelock==3.16.1
     # via
     #   -c requirements/common.txt
@@ -273,7 +275,7 @@ fsspec==2024.12.0
 ftfy==6.3.1
     # via open-clip-torch
 genai-perf==0.0.16
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 genson==1.3.0
     # via datamodel-code-generator
 geopandas==1.0.1
@@ -306,19 +308,19 @@ google-resumable-media==2.7.2
 googleapis-common-protos==1.70.0
     # via google-api-core
 gpt-oss==0.0.8
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 graphql-core==3.2.6
     # via hypothesis-graphql
 greenlet==3.2.3
     # via sqlalchemy
 grpcio==1.78.0
     # via
-    #   -r requirements/test.in
+    #   -r requirements/test/cuda.in
     #   grpcio-reflection
     #   ray
     #   tensorboard
 grpcio-reflection==1.78.0
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 h11==0.14.0
     # via
     #   httpcore
@@ -341,7 +343,7 @@ httpcore==1.0.6
     # via httpx
 httpx==0.27.2
     # via
-    #   -r requirements/test.in
+    #   -r requirements/test/cuda.in
     #   diffusers
     #   perceptron
     #   schemathesis
@@ -386,7 +388,7 @@ idna==3.10
     #   requests
     #   yarl
 imagehash==4.3.2
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 imageio==2.37.0
     # via scikit-image
 importlib-metadata==8.7.0
@@ -400,7 +402,7 @@ inflect==5.6.2
 iniconfig==2.0.0
     # via pytest
 instanttensor==0.1.5
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 isodate==0.7.2
     # via azure-storage-blob
 isoduration==20.11.0
@@ -414,7 +416,7 @@ jinja2==3.1.6
     #   lm-eval
     #   torch
 jiwer==3.0.5
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 jmespath==1.0.1
     # via
     #   boto3
@@ -445,7 +447,7 @@ jsonschema-specifications==2024.10.1
 junit-xml==1.9
     # via schemathesis
 kaldi-native-fbank==1.22.3
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 kaleido==0.2.1
     # via genai-perf
 kiwisolver==1.4.7
@@ -461,7 +463,7 @@ lazy-loader==0.4
 libnacl==2.1.0
     # via tensorizer
 librosa==0.10.2.post1
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 lightly==1.5.22
     # via
     #   terratorch
@@ -480,7 +482,7 @@ lightning-utilities==0.14.3
 llvmlite==0.44.0
     # via numba
 lm-eval==0.4.11
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 lxml==5.3.0
     # via
     #   blobfile
@@ -499,7 +501,7 @@ markupsafe==3.0.1
     #   werkzeug
 matplotlib==3.9.2
     # via
-    #   -r requirements/test.in
+    #   -r requirements/test/cuda.in
     #   lightning
     #   pycocotools
     #   torchgeo
@@ -513,7 +515,7 @@ mdurl==0.1.2
 mistral-common==1.11.0
     # via
     #   -c requirements/common.txt
-    #   -r requirements/test.in
+    #   -r requirements/test/cuda.in
 more-itertools==10.5.0
     # via lm-eval
 mpmath==1.3.0
@@ -529,7 +531,7 @@ msgpack==1.1.0
     #   librosa
     #   ray
 mteb==2.8.3
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 multidict==6.1.0
     # via
     #   aiohttp
@@ -547,15 +549,16 @@ networkx==3.2.1
 nltk==3.9.1
     # via rouge-score
 num2words==0.5.14
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 numba==0.61.2
     # via
-    #   -r requirements/test.in
+    #   -c requirements/cuda.txt
+    #   -r requirements/test/cuda.in
     #   librosa
     #   resampy
 numpy==2.2.6
     # via
-    #   -r requirements/test.in
+    #   -r requirements/test/cuda.in
     #   accelerate
     #   albucore
     #   albumentations
@@ -661,7 +664,7 @@ omegaconf==2.3.0
     #   hydra-core
     #   lightning
 open-clip-torch==2.32.0
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 openai-harmony==0.0.4
     # via
     #   -c requirements/common.txt
@@ -673,12 +676,12 @@ opencensus-context==0.1.3
 opencv-python-headless==4.13.0.90
     # via
     #   -c requirements/common.txt
-    #   -r requirements/test.in
+    #   -r requirements/test/cuda.in
     #   albucore
     #   albumentations
     #   mistral-common
 openpyxl==3.1.5
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 opentelemetry-api==1.35.0
     # via
     #   -c requirements/common.txt
@@ -754,9 +757,9 @@ pathvalidate==3.2.1
 patsy==1.0.1
     # via statsmodels
 peft==0.16.0
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 perceptron==0.1.4
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 perf-analyzer==0.1.0
     # via genai-perf
 pillow==10.4.0
@@ -782,7 +785,7 @@ platformdirs==4.3.6
     #   wandb
 plotly==5.24.1
     # via
-    #   -r requirements/test.in
+    #   -r requirements/test/cuda.in
     #   genai-perf
 pluggy==1.5.0
     # via
@@ -795,7 +798,7 @@ pooch==1.8.2
 portalocker==2.10.1
     # via sacrebleu
 pqdm==0.2.0
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 prometheus-client==0.22.0
     # via
     #   -c requirements/common.txt
@@ -852,7 +855,7 @@ pycryptodomex==3.22.0
 pydantic==2.12.0
     # via
     #   -c requirements/common.txt
-    #   -r requirements/test.in
+    #   -r requirements/test/cuda.in
     #   albumentations
     #   datamodel-code-generator
     #   fastapi
@@ -891,7 +894,7 @@ pytablewriter==1.2.0
     # via lm-eval
 pytest==8.3.5
     # via
-    #   -r requirements/test.in
+    #   -r requirements/test/cuda.in
     #   buildkite-test-collector
     #   genai-perf
     #   pytest-asyncio
@@ -904,21 +907,21 @@ pytest==8.3.5
     #   pytest-timeout
     #   schemathesis
 pytest-asyncio==0.24.0
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 pytest-cov==6.3.0
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 pytest-forked==1.6.0
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 pytest-mock==3.14.0
     # via genai-perf
 pytest-rerunfailures==14.0
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 pytest-shard==0.1.2
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 pytest-subtests==0.14.1
     # via schemathesis
 pytest-timeout==2.3.1
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 python-box==7.3.2
     # via terratorch
 python-dateutil==2.9.0.post0
@@ -972,7 +975,7 @@ rasterio==1.4.3
     #   terratorch
     #   torchgeo
 ray==2.48.0
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 redis==5.2.0
     # via tensorizer
 referencing==0.35.1
@@ -1015,7 +1018,7 @@ requests==2.32.3
     #   transformers
     #   wandb
 resampy==0.4.3
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 responses==0.25.3
     # via genai-perf
 rfc3339-validator==0.1.4
@@ -1043,7 +1046,7 @@ rsa==4.9.1
 rtree==1.4.0
     # via torchgeo
 runai-model-streamer==0.15.7
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 runai-model-streamer-azure==0.15.7
     # via runai-model-streamer
 runai-model-streamer-gcs==0.15.7
@@ -1064,7 +1067,7 @@ safetensors==0.4.5
     #   timm
     #   transformers
 schemathesis==3.39.15
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 scikit-image==0.25.2
     # via
     #   albumentations
@@ -1091,12 +1094,12 @@ scipy==1.13.1
     #   vocos
 segmentation-models-pytorch==0.5.0
     # via
-    #   -r requirements/test.in
+    #   -r requirements/test/cuda.in
     #   terratorch
     #   torchgeo
 sentence-transformers==5.2.0
     # via
-    #   -r requirements/test.in
+    #   -r requirements/test/cuda.in
     #   mteb
 sentry-sdk==2.52.0
     # via wandb
@@ -1136,7 +1139,7 @@ sortedcontainers==2.4.0
     # via hypothesis
 soundfile==0.12.1
     # via
-    #   -r requirements/test.in
+    #   -r requirements/test/cuda.in
     #   genai-perf
     #   librosa
     #   mistral-common
@@ -1172,7 +1175,7 @@ tabulate==0.9.0
 tacoreader==0.5.6
     # via terratorch
 tblib==3.1.0
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 tcolorpy==0.1.6
     # via pytablewriter
 tenacity==9.1.2
@@ -1187,13 +1190,13 @@ tensorboard-data-server==0.7.2
 tensorboardx==2.6.4
     # via lightning
 tensorizer==2.10.1
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 termcolor==3.1.0
     # via
     #   gpt-oss
     #   terratorch
 terratorch==1.2.2
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 threadpoolctl==3.5.0
     # via scikit-learn
 tifffile==2025.3.30
@@ -1208,7 +1211,7 @@ tiktoken==0.12.0
     #   mistral-common
 timm==1.0.17
     # via
-    #   -r requirements/test.in
+    #   -r requirements/test/cuda.in
     #   open-clip-torch
     #   segmentation-models-pytorch
     #   terratorch
@@ -1216,7 +1219,7 @@ timm==1.0.17
 tokenizers==0.22.0
     # via
     #   -c requirements/common.txt
-    #   -r requirements/test.in
+    #   -r requirements/test/cuda.in
     #   transformers
 tomli==2.2.1
     # via schemathesis
@@ -1224,7 +1227,8 @@ tomli-w==1.2.0
     # via schemathesis
 torch==2.11.0+cu130
     # via
-    #   -r requirements/test.in
+    #   -c requirements/cuda.txt
+    #   -r requirements/test/cuda.in
     #   accelerate
     #   bitsandbytes
     #   encodec
@@ -1249,7 +1253,8 @@ torch==2.11.0+cu130
     #   vocos
 torchaudio==2.11.0+cu130
     # via
-    #   -r requirements/test.in
+    #   -c requirements/cuda.txt
+    #   -r requirements/test/cuda.in
     #   encodec
     #   vocos
 torchgeo==0.7.0
@@ -1262,7 +1267,8 @@ torchmetrics==1.7.4
     #   torchgeo
 torchvision==0.26.0+cu130
     # via
-    #   -r requirements/test.in
+    #   -c requirements/cuda.txt
+    #   -r requirements/test/cuda.in
     #   lightly
     #   open-clip-torch
     #   segmentation-models-pytorch
@@ -1292,17 +1298,17 @@ tqdm==4.67.3
 transformers==4.57.5
     # via
     #   -c requirements/common.txt
-    #   -r requirements/test.in
+    #   -r requirements/test/cuda.in
     #   genai-perf
     #   peft
     #   sentence-transformers
     #   transformers-stream-generator
 transformers-stream-generator==0.0.5
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 triton==3.6.0
     # via torch
 tritonclient==2.64.0
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 typepy==1.3.2
     # via
     #   dataproperty
@@ -1371,11 +1377,11 @@ urllib3==2.2.3
 uvicorn==0.35.0
     # via gpt-oss
 vector-quantize-pytorch==1.21.2
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 virtualenv==20.31.2
     # via ray
 vocos==0.1.0
-    # via -r requirements/test.in
+    # via -r requirements/test/cuda.in
 wandb==0.24.2
     # via terratorch
 wcwidth==0.2.13

requirements/rocm-test.in → requirements/test/rocm.in

--r common.txt
+-r ../common.txt
 
 # testing
 pytest
@@ -78,7 +78,7 @@ datasets>=3.3.0,<=3.6.0
 openpyxl # required for perf comparison excel report
 plotly # required for perf comparison html report
 
-# ROCm-specific extras (not in CUDA test.in)
+# ROCm-specific extras (not in CUDA cuda.in)
 rapidfuzz
 torchgeo==0.7.0
 multiprocess==0.70.16

requirements/xpu-test.txt → requirements/test/xpu.txt

 # This file was autogenerated by uv via the following command:
-#    uv pip compile requirements/xpu-test.in -o requirements/xpu-test.txt -c requirements/xpu.txt --python-version 3.12 --index-strategy unsafe-best-match
+#    uv pip compile requirements/test/xpu.in -c requirements/xpu.txt -o requirements/test/xpu.txt --index-strategy unsafe-best-match --torch-backend xpu --python-platform x86_64-manylinux_2_39 --python-version 3.12
 absl-py==2.4.0
     # via
-    #   -r requirements/xpu-test.in
+    #   -r requirements/test/xpu.in
     #   rouge-score
 accelerate==1.13.0
-    # via -r requirements/xpu-test.in
+    # via -r requirements/test/xpu.in
 aiohappyeyeballs==2.6.1
     # via aiohttp
 aiohttp==3.13.4
@@ -17,7 +17,7 @@ aiohttp==3.13.4
 aiosignal==1.4.0
     # via aiohttp
 albumentations==1.4.6
-    # via -r requirements/xpu-test.in
+    # via -r requirements/test/xpu.in
 annotated-doc==0.0.4
     # via fastapi
 annotated-types==0.7.0
@@ -27,7 +27,7 @@ anyio==4.13.0
     #   httpx
     #   starlette
 arctic-inference==0.1.1
-    # via -r requirements/xpu-test.in
+    # via -r requirements/test/xpu.in
 attrs==26.1.0
     # via
     #   aiohttp
@@ -36,13 +36,13 @@ attrs==26.1.0
     #   referencing
 audioread==3.0.1
     # via
-    #   -r requirements/xpu-test.in
+    #   -r requirements/test/xpu.in
     #   librosa
 blobfile==3.0.0
-    # via -r requirements/xpu-test.in
+    # via -r requirements/test/xpu.in
 bm25s==0.2.13
     # via
-    #   -r requirements/xpu-test.in
+    #   -r requirements/test/xpu.in
     #   mteb
 bounded-pool-executor==0.0.3
     # via pqdm
@@ -90,7 +90,7 @@ docker==7.1.0
     # via gpt-oss
 docopt==0.6.2
     # via num2words
-dpcpp-cpp-rt==2025.3.1
+dpcpp-cpp-rt==2025.3.2
     # via
     #   onemkl-sycl-blas
     #   onemkl-sycl-dft
@@ -124,7 +124,7 @@ fsspec==2026.2.0
     #   huggingface-hub
     #   torch
 gpt-oss==0.0.8
-    # via -r requirements/xpu-test.in
+    # via -r requirements/test/xpu.in
 graphql-core==3.2.8
     # via hypothesis-graphql
 h11==0.16.0
@@ -134,7 +134,7 @@ h11==0.16.0
 harfile==0.4.0
     # via schemathesis
 hf-transfer==0.1.9
-    # via -r requirements/xpu-test.in
+    # via -r requirements/test/xpu.in
 hf-xet==1.4.2
     # via huggingface-hub
 html2text==2025.4.15
@@ -171,27 +171,27 @@ idna==3.11
     #   yarl
 imageio==2.37.3
     # via scikit-image
-impi-rt==2021.17.0
+impi-rt==2021.17.2
     # via
     #   oneccl
     #   torch
 iniconfig==2.3.0
     # via pytest
-intel-cmplr-lib-rt==2025.3.1
+intel-cmplr-lib-rt==2025.3.2
     # via
     #   intel-sycl-rt
     #   torch
-intel-cmplr-lib-ur==2025.3.1
+intel-cmplr-lib-ur==2025.3.2
     # via
     #   intel-openmp
     #   intel-sycl-rt
     #   torch
-intel-cmplr-lic-rt==2025.3.1
+intel-cmplr-lic-rt==2025.3.2
     # via
     #   intel-opencl-rt
     #   intel-sycl-rt
     #   torch
-intel-opencl-rt==2025.3.1
+intel-opencl-rt==2025.3.2
     # via
     #   dpcpp-cpp-rt
     #   onemkl-sycl-blas
@@ -200,14 +200,14 @@ intel-opencl-rt==2025.3.1
     #   onemkl-sycl-rng
     #   onemkl-sycl-sparse
     #   torch
-intel-openmp==2025.3.1
+intel-openmp==2025.3.2
     # via
     #   dpcpp-cpp-rt
     #   mkl
     #   torch
-intel-pti==0.15.0
+intel-pti==0.16.0
     # via torch
-intel-sycl-rt==2025.3.1
+intel-sycl-rt==2025.3.2
     # via
     #   dpcpp-cpp-rt
     #   oneccl
@@ -218,7 +218,7 @@ jinja2==3.1.6
     #   lm-eval
     #   torch
 jiwer==4.0.0
-    # via -r requirements/xpu-test.in
+    # via -r requirements/test/xpu.in
 joblib==1.5.3
     # via
     #   librosa
@@ -242,11 +242,11 @@ lazy-loader==0.5
     #   librosa
     #   scikit-image
 librosa==0.10.2.post1
-    # via -r requirements/xpu-test.in
+    # via -r requirements/test/xpu.in
 llvmlite==0.44.0
     # via numba
 lm-eval==0.4.11
-    # via -r requirements/xpu-test.in
+    # via -r requirements/test/xpu.in
 lxml==6.0.2
     # via
     #   blobfile
@@ -265,11 +265,11 @@ mbstrdecoder==1.1.4
     #   typepy
 mdurl==0.1.2
     # via markdown-it-py
-mistral-common==1.10.0
+mistral-common==1.11.0
     # via
     #   -c requirements/common.txt
-    #   -r requirements/xpu-test.in
-mkl==2025.3.0
+    #   -r requirements/test/xpu.in
+mkl==2025.3.1
     # via
     #   onemkl-sycl-blas
     #   onemkl-sycl-dft
@@ -278,7 +278,7 @@ mkl==2025.3.0
     #   onemkl-sycl-sparse
     #   torch
 modelscope==1.35.3
-    # via -r requirements/xpu-test.in
+    # via -r requirements/test/xpu.in
 more-itertools==10.8.0
     # via lm-eval
 mpmath==1.3.0
@@ -286,7 +286,7 @@ mpmath==1.3.0
 msgpack==1.1.2
     # via librosa
 mteb==2.12.7
-    # via -r requirements/xpu-test.in
+    # via -r requirements/test/xpu.in
 multidict==6.7.1
     # via
     #   aiohttp
@@ -302,7 +302,7 @@ networkx==3.6.1
 nltk==3.9.4
     # via rouge-score
 num2words==0.5.14
-    # via -r requirements/xpu-test.in
+    # via -r requirements/test/xpu.in
 numba==0.61.2
     # via
     #   -c requirements/xpu.txt
@@ -334,28 +334,28 @@ numpy==2.2.6
     #   tifffile
     #   torchvision
     #   transformers
-oneccl==2021.17.1
+oneccl==2021.17.2
     # via
     #   oneccl-devel
     #   torch
-oneccl-devel==2021.17.1
+oneccl-devel==2021.17.2
     # via torch
-onemkl-license==2025.3.0
+onemkl-license==2025.3.1
     # via
     #   mkl
     #   torch
-onemkl-sycl-blas==2025.3.0
+onemkl-sycl-blas==2025.3.1
     # via
     #   onemkl-sycl-lapack
     #   onemkl-sycl-sparse
     #   torch
-onemkl-sycl-dft==2025.3.0
+onemkl-sycl-dft==2025.3.1
     # via torch
-onemkl-sycl-lapack==2025.3.0
+onemkl-sycl-lapack==2025.3.1
     # via torch
-onemkl-sycl-rng==2025.3.0
+onemkl-sycl-rng==2025.3.1
     # via torch
-onemkl-sycl-sparse==2025.3.0
+onemkl-sycl-sparse==2025.3.1
     # via torch
 openai-harmony==0.0.8
     # via
@@ -405,12 +405,12 @@ polars-runtime-32==1.39.3
     # via polars
 pooch==1.8.2
     # via
-    #   -r requirements/xpu-test.in
+    #   -r requirements/test/xpu.in
     #   librosa
 portalocker==3.2.0
     # via sacrebleu
 pqdm==0.2.0
-    # via -r requirements/xpu-test.in
+    # via -r requirements/test/xpu.in
 propcache==0.4.1
     # via
     #   aiohttp
@@ -451,13 +451,13 @@ pyrate-limiter==4.1.0
     # via schemathesis
 pystemmer==3.0.0
     # via
-    #   -r requirements/xpu-test.in
+    #   -r requirements/test/xpu.in
     #   mteb
 pytablewriter==1.2.1
     # via lm-eval
 pytest==9.0.2
     # via
-    #   -r requirements/xpu-test.in
+    #   -r requirements/test/xpu.in
     #   pytest-asyncio
     #   pytest-cov
     #   pytest-forked
@@ -466,17 +466,17 @@ pytest==9.0.2
     #   pytest-timeout
     #   schemathesis
 pytest-asyncio==1.3.0
-    # via -r requirements/xpu-test.in
+    # via -r requirements/test/xpu.in
 pytest-cov==6.3.0
-    # via -r requirements/xpu-test.in
+    # via -r requirements/test/xpu.in
 pytest-forked==1.6.0
-    # via -r requirements/xpu-test.in
+    # via -r requirements/test/xpu.in
 pytest-rerunfailures==14.0
-    # via -r requirements/xpu-test.in
+    # via -r requirements/test/xpu.in
 pytest-shard==0.1.2
-    # via -r requirements/xpu-test.in
+    # via -r requirements/test/xpu.in
 pytest-timeout==2.3.1
-    # via -r requirements/xpu-test.in
+    # via -r requirements/test/xpu.in
 python-dateutil==2.9.0.post0
     # via
     #   pandas
@@ -496,7 +496,7 @@ pyyaml==6.0.3
     #   transformers
 rapidfuzz==3.12.1
     # via
-    #   -r requirements/xpu-test.in
+    #   -r requirements/test/xpu.in
     #   jiwer
 referencing==0.37.0
     # via
@@ -543,7 +543,7 @@ safetensors==0.7.0
     #   timm
     #   transformers
 schemathesis==4.14.2
-    # via -r requirements/xpu-test.in
+    # via -r requirements/test/xpu.in
 scikit-image==0.26.0
     # via albumentations
 scikit-learn==1.8.0
@@ -582,12 +582,12 @@ sortedcontainers==2.4.0
     # via hypothesis
 soundfile==0.13.1
     # via
-    #   -r requirements/xpu-test.in
+    #   -r requirements/test/xpu.in
     #   librosa
     #   mistral-common
 soxr==0.5.0.post1
     # via
-    #   -r requirements/xpu-test.in
+    #   -r requirements/test/xpu.in
     #   librosa
     #   mistral-common
 sqlitedict==2.1.0
@@ -606,13 +606,13 @@ tabledata==1.3.4
     # via pytablewriter
 tabulate==0.10.0
     # via sacrebleu
-tbb==2022.3.0
+tbb==2022.3.1
     # via
     #   intel-opencl-rt
     #   mkl
     #   torch
 tblib==3.1.0
-    # via -r requirements/xpu-test.in
+    # via -r requirements/test/xpu.in
 tcmlib==1.4.1
     # via
     #   tbb
@@ -638,12 +638,12 @@ tiktoken==0.12.0
     #   lm-eval
     #   mistral-common
 timm==1.0.17
-    # via -r requirements/xpu-test.in
+    # via -r requirements/test/xpu.in
 tokenizers==0.22.2
     # via
     #   -c requirements/common.txt
     #   transformers
-torch==2.10.0+xpu
+torch==2.11.0+xpu
     # via
     #   -c requirements/xpu.txt
     #   accelerate
@@ -651,7 +651,7 @@ torch==2.10.0+xpu
     #   sentence-transformers
     #   timm
     #   torchvision
-torchvision==0.25.0+xpu
+torchvision==0.26.0+xpu
     # via timm
 tqdm==4.67.3
     # via
@@ -669,7 +669,7 @@ transformers==4.57.6
     # via
     #   -c requirements/common.txt
     #   sentence-transformers
-triton-xpu==3.6.0
+triton-xpu==3.7.0
     # via torch
 typepy==1.3.4
     # via
@@ -704,7 +704,7 @@ typing-inspection==0.4.2
     # via
     #   fastapi
     #   pydantic
-umf==1.0.2
+umf==1.0.3
     # via
     #   intel-cmplr-lib-ur
     #   torch

tests/standalone_tests/pytorch_nightly_dependency.sh

@@ -28,8 +28,8 @@ uv pip freeze | grep -E '^torch|^torchvision|^torchaudio' | sort > before.txt
 echo "Before:"
 cat before.txt
 
-echo ">>> Installing requirements/nightly_torch_test.txt"
-uv pip install --quiet -r requirements/nightly_torch_test.txt
+echo ">>> Installing requirements/test/nightly-torch.txt"
+uv pip install --quiet -r requirements/test/nightly-torch.txt
 
 echo ">>> Capturing torch-related versions after requirements install"
 uv pip freeze | grep -E '^torch|^torchvision|^torchaudio' | sort > after.txt
@@ -40,7 +40,7 @@ echo ">>> Comparing versions"
 if diff before.txt after.txt; then
   echo "torch version not overridden."
 else
-  echo "torch version overridden by nightly_torch_test.txt, \
+  echo "torch version overridden by test/nightly-torch.txt, \
   if the dependency is not triggered by the pytorch nightly test,\
   please add the dependency to the list 'white_list' in tools/pre_commit/generate_nightly_torch_test.py"
   exit 1

tools/generate_cmake_presets.py

@@ -128,7 +128,7 @@ def generate_presets(output_path="CMakeUserPresets.json", force_overwrite=False)
 
     presets = {
         "version": 6,
-        # Keep in sync with CMakeLists.txt and requirements/build.txt
+        # Keep in sync with CMakeLists.txt and requirements/build/cuda.txt
         "cmakeMinimumRequired": {"major": 3, "minor": 26, "patch": 1},
         "configurePresets": [configure_preset],
         "buildPresets": [

tools/pre_commit/generate_nightly_torch_test.py

@@ -3,15 +3,15 @@
 """
 Generates specialized requirements files for nightly PyTorch testing.
 
-This script reads the main test requirements input file (`requirements/test.in`)
+This script reads the main test requirements input file (`requirements/test/cuda.in`)
 and splits its content into two files:
-1.  `requirements/nightly_torch_test.txt`: Contains dependencies
+1.  `requirements/test/nightly-torch.txt`: Contains dependencies
 except PyTorch-related.
 2.  `torch_nightly_test.txt`: Contains only PyTorch-related packages.
 """
 
-input_file = "requirements/test.in"
-output_file = "requirements/nightly_torch_test.txt"
+input_file = "requirements/test/cuda.in"
+output_file = "requirements/test/nightly-torch.txt"
 
 # white list of packages that are not compatible with PyTorch nightly directly
 # with pip install. Please add your package to this list if it is not compatible