feat(ci): add CUDA 13 wheel builds

.github/workflows/build-wheels-cuda.yaml

@@ -24,7 +24,7 @@ jobs:
               # wheel.py-api = "py3" makes the CUDA wheel interpreter-agnostic,
               # so one builder per toolkit version is sufficient.
               'pyver' = @("3.9")
-              'cuda' = @("11.8.0", "12.1.1", "12.2.2", "12.3.2", "12.4.1", "12.5.1")
+              'cuda' = @("11.8.0", "12.1.1", "12.2.2", "12.3.2", "12.4.1", "12.5.1", "13.0.2", "13.2.1")
               'releasetag' = @("basic")
               'exclude' = @(
                 @{ 'os' = 'windows-2022'; 'cuda' = '12.1.1' },
@@ -115,8 +115,8 @@ jobs:
           } elseif ($IsLinux) {
             mamba install -y --channel-priority flexible --override-channels -c $cudaChannel "${cudaChannel}::cuda-toolkit=$cudaVersion" "${cudaChannel}::cuda-nvcc_linux-64" "${cudaChannel}::cuda-cccl" "${cudaChannel}::cuda-cudart" "${cudaChannel}::cuda-cudart-dev"
           } elseif ($IsWindows) {
-            if ($cudaVersion -like '12.5.*') {
-              # The Windows 12.5 toolkit meta-package pulls compiler activation
+            if ($cudaVersion -like '12.5.*' -or [version]$cudaVersion -ge [version]"13.0") {
+              # The Windows 12.5+ toolkit meta-package pulls compiler activation
               # scripts that overflow cmd.exe after MSVC is already initialized.
               mamba install -y --channel-priority flexible --override-channels -c $cudaChannel "${cudaChannel}::cuda-nvcc_win-64" "${cudaChannel}::cuda-cccl" "${cudaChannel}::cuda-libraries-dev=$cudaVersion" "${cudaChannel}::cuda-cudart" "${cudaChannel}::cuda-cudart-dev"
             } else {
@@ -209,8 +209,11 @@ jobs:
           if ([version]$nvccVersion -lt [version]"12.0") {
             # CUDA 11.8 cannot compile llama.cpp's Hopper PDL device calls.
             $cudaArchs = "60-real;61-real;70-real;75-real;80-real;86-real;89-real"
+          } elseif ([version]$nvccVersion -ge [version]"13.0") {
+            # CUDA 13 dropped offline compilation support for pre-Turing targets.
+            $cudaArchs = "75-real;80-real;86-real;89-real;90-real;90-virtual"
           }
-          # Build real cubins for the supported GPUs, including Pascal, and keep
+          # Build real cubins for the supported GPUs and keep
           # one forward-compatible PTX target instead of embedding PTX for every
           # SM. This keeps the wheel under GitHub's 2 GiB release-asset limit.
           $env:CMAKE_ARGS = "-DGGML_CUDA_FORCE_MMQ=ON -DGGML_CUDA=on -DCMAKE_CUDA_ARCHITECTURES=$cudaArchs -DCMAKE_CUDA_FLAGS=-allow-unsupported-compiler -DCMAKE_CUDA_FLAGS_INIT=-allow-unsupported-compiler $env:CMAKE_ARGS"

CHANGELOG.md

@@ -7,6 +7,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
+- feat(ci): add CUDA 13.0 and 13.2 wheel builds by @abetlen in #2239
 - feat(ci): add CUDA 11.8 wheel builds by @abetlen in #2238
 - fix(ci): add Pascal compute capability targets to CUDA wheel builds by @abetlen in #2237
 

README.md

@@ -125,8 +125,8 @@ CMAKE_ARGS="-DGGML_CUDA=on" pip install llama-cpp-python
 
 It is also possible to install a pre-built wheel with CUDA support. As long as your system meets some requirements:
 
-- CUDA Version is 11.8, 12.1, 12.2, 12.3, 12.4 or 12.5
-- NVIDIA GPU compute capability is 6.0 through 8.9 for CUDA 11.8 wheels, or 6.0 or newer for CUDA 12 wheels
+- CUDA Version is 11.8, 12.1, 12.2, 12.3, 12.4, 12.5, 13.0 or 13.2
+- NVIDIA GPU compute capability is 6.0 through 8.9 for CUDA 11.8 wheels, 6.0 or newer for CUDA 12 wheels, or 7.5 or newer for CUDA 13 wheels
 - Python Version is 3.10, 3.11 or 3.12
 
 ```bash
@@ -141,6 +141,8 @@ Where `<cuda-version>` is one of the following:
 - `cu123`: CUDA 12.3
 - `cu124`: CUDA 12.4
 - `cu125`: CUDA 12.5
+- `cu130`: CUDA 13.0
+- `cu132`: CUDA 13.2
 
 For example, to install the CUDA 12.1 wheel: