[Build] Add Python 3.14 to supported version list. (#34770)

Signed-off-by: Neil Schemenauer <nas@arctrix.com>
Co-authored-by: Simon Mo <simon.mo@hey.com>

CMakeLists.txt

@@ -34,7 +34,7 @@ install(CODE "set(CMAKE_INSTALL_LOCAL_ONLY TRUE)" ALL_COMPONENTS)
 # Supported python versions.  These versions will be searched in order, the
 # first match will be selected.  These should be kept in sync with setup.py.
 #
-set(PYTHON_SUPPORTED_VERSIONS "3.10" "3.11" "3.12" "3.13")
+set(PYTHON_SUPPORTED_VERSIONS "3.10" "3.11" "3.12" "3.13" "3.14")
 
 # Supported AMD GPU architectures.
 set(HIP_SUPPORTED_ARCHS "gfx906;gfx908;gfx90a;gfx942;gfx950;gfx1030;gfx1100;gfx1101;gfx1102;gfx1103;gfx1150;gfx1151;gfx1152;gfx1153;gfx1200;gfx1201")

docker/Dockerfile.nightly_torch

@@ -77,7 +77,7 @@ RUN --mount=type=cache,target=/root/.cache/uv \
     uv pip install --system $pkgs --index-url https://download.pytorch.org/whl/nightly/cu128
 
 RUN --mount=type=cache,target=/root/.cache/uv \
-    uv pip install --system numba==0.61.2
+    uv pip install --system numba==0.65.0
 
 RUN --mount=type=cache,target=/root/.cache/uv \
 uv pip install --system -r requirements/common.txt

pyproject.toml

@@ -24,13 +24,14 @@ classifiers = [
     "Programming Language :: Python :: 3.11",
     "Programming Language :: Python :: 3.12",
     "Programming Language :: Python :: 3.13",
+    "Programming Language :: Python :: 3.14",
     "Intended Audience :: Developers",
     "Intended Audience :: Information Technology",
     "Intended Audience :: Science/Research",
     "Topic :: Scientific/Engineering :: Artificial Intelligence",
     "Topic :: Scientific/Engineering :: Information Analysis",
 ]
-requires-python = ">=3.10,<3.14"
+requires-python = ">=3.10,<3.15"
 dynamic = [ "version", "dependencies", "optional-dependencies"]
 
 [project.urls]

requirements/common.txt

@@ -20,7 +20,7 @@ prometheus-fastapi-instrumentator >= 7.0.0
 tiktoken >= 0.6.0  # Required for DBRX tokenizer
 lm-format-enforcer == 0.11.3
 llguidance >= 1.3.0, < 1.4.0; platform_machine == "x86_64" or platform_machine == "arm64" or platform_machine == "aarch64" or platform_machine == "ppc64le"
-outlines_core == 0.2.11
+outlines_core == 0.2.14
 # required for outlines backend disk cache
 diskcache == 5.6.3
 lark == 1.2.2

requirements/cpu.txt

@@ -4,7 +4,7 @@
 
 setuptools==77.0.3 # this version can reuse CMake build dir
 
-numba == 0.61.2; platform_machine != "s390x" # Required for N-gram speculative decoding
+numba == 0.65.0; platform_machine != "s390x" # Required for N-gram speculative decoding
 
 # Dependencies for CPUs
 torch==2.11.0+cpu; platform_machine == "x86_64" or platform_machine == "s390x" or platform_machine == "aarch64"

requirements/cuda.txt

@@ -1,7 +1,7 @@
 # Common dependencies
 -r common.txt
 
-numba == 0.61.2 # Required for N-gram speculative decoding
+numba == 0.65.0 # Required for N-gram speculative decoding
 
 # Dependencies for NVIDIA GPUs
 torch==2.11.0

requirements/rocm.txt

@@ -5,7 +5,7 @@
 grpcio==1.78.0
 grpcio-reflection==1.78.0
 
-numba == 0.61.2 # Required for N-gram speculative decoding
+numba == 0.65.0 # Required for N-gram speculative decoding
 
 # Dependencies for AMD GPUs
 datasets
@@ -20,4 +20,4 @@ conch-triton-kernels==1.2.1
 timm>=1.0.17
 # amd-quark: required for Quark quantization on ROCm 
 # To be consistent with test_quark.py
-amd-quark>=0.8.99
+amd-quark>=0.8.99

requirements/test/cuda.in

@@ -54,7 +54,7 @@ grpcio==1.78.0
 grpcio-reflection==1.78.0
 
 arctic-inference == 0.1.1 # Required for suffix decoding test
-numba == 0.61.2 # Required for N-gram speculative decoding
+numba == 0.65.0 # Required for N-gram speculative decoding
 numpy
 runai-model-streamer[s3,gcs,azure]==0.15.7
 fastsafetensors>=0.2.2 # 0.2.2 contains important fixes for multi-GPU mem usage

requirements/test/cuda.txt

@@ -479,7 +479,7 @@ lightning-utilities==0.14.3
     #   lightning
     #   pytorch-lightning
     #   torchmetrics
-llvmlite==0.44.0
+llvmlite==0.47.0
     # via numba
 lm-eval==0.4.11
     # via -r requirements/test/cuda.in
@@ -550,7 +550,7 @@ nltk==3.9.1
     # via rouge-score
 num2words==0.5.14
     # via -r requirements/test/cuda.in
-numba==0.61.2
+numba==0.65.0
     # via
     #   -c requirements/cuda.txt
     #   -r requirements/test/cuda.in

requirements/test/nightly-torch.txt

@@ -40,7 +40,7 @@ buildkite-test-collector==0.1.9
 genai_perf>=0.0.8
 tritonclient>=2.51.0
 
-numba == 0.61.2 # Required for N-gram speculative decoding
+numba == 0.65.0 # Required for N-gram speculative decoding
 numpy
 runai-model-streamer[s3,gcs,azure]==0.15.7
 fastsafetensors>=0.2.2

requirements/test/rocm.in

@@ -52,7 +52,7 @@ grpcio==1.78.0
 grpcio-reflection==1.78.0
 
 arctic-inference==0.1.1 # Required for suffix decoding test
-numba==0.61.2 # Required for N-gram speculative decoding
+numba==0.65.0 # Required for N-gram speculative decoding
 numpy
 runai-model-streamer[s3,gcs,azure]==0.15.7
 fastsafetensors @ git+https://github.com/foundation-model-stack/fastsafetensors.git@0.2.2 # PyPI only ships CUDA wheels

requirements/test/rocm.txt

@@ -559,7 +559,7 @@ llguidance==1.3.0
     # via
     #   -c requirements/common.txt
     #   -r requirements/test/../common.txt
-llvmlite==0.44.0
+llvmlite==0.47.0
     # via numba
 lm-eval==0.4.11
     # via -r requirements/test/rocm.in
@@ -655,7 +655,7 @@ nltk==3.9.3
     # via rouge-score
 num2words==0.5.14
     # via -r requirements/test/rocm.in
-numba==0.61.2
+numba==0.65.0
     # via
     #   -c requirements/rocm.txt
     #   -r requirements/test/rocm.in
@@ -811,7 +811,7 @@ orjson==3.11.7
     # via
     #   genai-perf
     #   kaleido
-outlines-core==0.2.11
+outlines-core==0.2.14
     # via
     #   -c requirements/common.txt
     #   -r requirements/test/../common.txt

requirements/test/xpu.txt

@@ -244,7 +244,7 @@ lazy-loader==0.5
     #   scikit-image
 librosa==0.10.2.post1
     # via -r requirements/test/xpu.in
-llvmlite==0.44.0
+llvmlite==0.47.0
     # via numba
 lm-eval==0.4.11
     # via -r requirements/test/xpu.in
@@ -304,7 +304,7 @@ nltk==3.9.4
     # via rouge-score
 num2words==0.5.14
     # via -r requirements/test/xpu.in
-numba==0.61.2
+numba==0.65.0
     # via
     #   -c requirements/xpu.txt
     #   librosa

requirements/xpu.txt

@@ -9,7 +9,7 @@ setuptools>=77.0.3,<81.0.0
 wheel
 jinja2>=3.1.6
 datasets # for benchmark scripts
-numba == 0.61.2 # Required for N-gram speculative decoding
+numba == 0.65.0 # Required for N-gram speculative decoding
 --extra-index-url=https://download.pytorch.org/whl/xpu
 torch==2.11.0+xpu
 torchaudio