Update jax-triton metadata to depend on the Triton 3.0.0 release.

This seems to work just fine! And it will make the pip install considerably easier.

README.md

@@ -76,40 +76,13 @@ ipynb](https://github.com/jax-ml/jax-triton/blob/main/examples/JAX_%2B_Triton_Fl
 $ pip install jax-triton
 ```
 
-Make sure you have a CUDA-compatible `jaxlib` installed.
-For example you could run:
-```bash
-$ pip install "jax[cuda11_cudnn82]" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html
-```
-
-### Installation at HEAD
-
-JAX-Triton and Pallas are developed at JAX and Jaxlib HEAD and close to Triton HEAD. To get a bleeding edge installation of JAX-Triton, run:
-```bash
-$ pip install 'jax-triton @ git+https://github.com/jax-ml/jax-triton.git'
-```
-This should install compatible versions of JAX and Triton.
+You can either use a stable release of `triton` or a nightly release.
 
-JAX-Triton does depend on Jaxlib but it's usually a more stable dependency. You might be able to get away with using a recent jaxlib release:
+Make sure you have a CUDA-compatible `jax` installed. For example you could run:
 ```bash
-$ pip install jaxlib[cuda11_pip]
-$ # or
-$ pip install jaxlib[cuda12_pip]
+$ pip install "jax[cuda12]"
 ```
 
-If you find there are issues with the latest Jaxlib release, you can try using a Jaxlib nightly.
-To install a new jaxlib, you can find a link to a [CUDA 11 nightly](https://storage.googleapis.com/jax-releases/jaxlib_nightly_cuda_releases.html) or [CUDA 12 nightly](https://storage.googleapis.com/jax-releases/jaxlib_nightly_cuda12_releases.html). Then install it via:
-```bash
-$ pip install 'jaxlib @ <link to nightly>'
-```
-or to install CUDA via pip automatically, you can do:
-```bash
-$ pip install 'jaxlib[cuda11_pip] @ <link to nightly>'
-$ # or
-$ pip install 'jaxlib[cuda12_pip] @ <link to nightly>'
-```
-
-
 ## Development
 
 To develop `jax-triton`, you can clone the repo with:

jax_triton/version.py

@@ -12,5 +12,5 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version_info__ = (0, 1, 4)
+__version_info__ = (0, 2, 0)
 __version__ = ".".join(str(v) for v in __version_info__)

pyproject.toml

@@ -3,33 +3,22 @@ name = "jax-triton"
 dynamic = ["version"]
 description = "JAX + OpenAI Triton integration"
 readme = "README.md"
-requires-python = ">=3.9,<3.11"
+requires-python = ">=3.10"
 dependencies = [
   "absl-py>=1.4.0",
-  "jax @ git+https://github.com/google/jax@a0c1265bbae2c3ec644d6181f23264b4794e9eac",
-  "triton-nightly @ https://aiinfra.pkgs.visualstudio.com/2692857e-05ef-43b4-ba9c-ccf1c22c437c/_packaging/07c94329-d4c3-4ad4-9e6b-f904a60032ec/pypi/download/triton-nightly/2.1.dev20230714011643/triton_nightly-2.1.0.dev20230714011643-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl"
+  "jax>=0.4.31",
+  "triton>=3.0",
+  "setuptools",  # triton seems to need this when installing itself.
 ]
 
 [project.optional-dependencies]
-cuda12 = [
-  "jaxlib @ https://storage.googleapis.com/jax-releases/nightly/cuda12/jaxlib-0.4.14.dev20230727+cuda12.cudnn89-cp310-cp310-manylinux2014_x86_64.whl"
-]
-cuda12_pip = [
-  "jaxlib[cuda12_pip] @ https://storage.googleapis.com/jax-releases/nightly/cuda12/jaxlib-0.4.14.dev20230727+cuda12.cudnn89-cp310-cp310-manylinux2014_x86_64.whl"
-]
-cuda11 = [
-  "jaxlib @ https://storage.googleapis.com/jax-releases/nightly/cuda118/jaxlib-0.4.14.dev20230727+cuda11.cudnn86-cp310-cp310-manylinux2014_x86_64.whl"
-]
-cuda11_pip = [
-  "jaxlib[cuda11_pip] @ https://storage.googleapis.com/jax-releases/nightly/cuda118/jaxlib-0.4.14.dev20230727+cuda11.cudnn86-cp310-cp310-manylinux2014_x86_64.whl"
-]
 tests = [
   "pytest"
 ]
 
 
 [build-system]
-requires = ["setuptools", "setuptools-scm", "cmake"]
+requires = ["setuptools", "setuptools-scm"]
 build-backend = "setuptools.build_meta"
 
 [tools.setuptools]