[CI] Use torch 2.6.0.dev20241001 instead of 20241010 for nvcr 24.11

Author: tridao

.github/workflows/publish.yaml

@@ -44,7 +44,7 @@ jobs:
           # manylinux docker image, but I haven't figured out how to install CUDA on manylinux.
           os: [ubuntu-20.04]
           python-version: ['3.9', '3.10', '3.11', '3.12', '3.13']
-          torch-version: ['2.1.2', '2.2.2', '2.3.1', '2.4.0', '2.5.1', '2.6.0.dev20241010']
+          torch-version: ['2.1.2', '2.2.2', '2.3.1', '2.4.0', '2.5.1', '2.6.0.dev20241001']
           cuda-version: ['11.8.0', '12.3.2']
           # We need separate wheels that either uses C++11 ABI (-D_GLIBCXX_USE_CXX11_ABI) or not.
           # Pytorch wheels currently don't use it, but nvcr images have Pytorch compiled with C++11 ABI.
@@ -80,6 +80,7 @@ jobs:
           echo "MATRIX_CUDA_VERSION=$(echo ${{ matrix.cuda-version }} | awk -F \. {'print $1 $2'})" >> $GITHUB_ENV
           echo "MATRIX_TORCH_VERSION=$(echo ${{ matrix.torch-version }} | awk -F \. {'print $1 "." $2'})" >> $GITHUB_ENV
           echo "WHEEL_CUDA_VERSION=$(echo ${{ matrix.cuda-version }} | awk -F \. {'print $1'})" >> $GITHUB_ENV
+          echo "MATRIX_PYTHON_VERSION=$(echo ${{ matrix.python-version }} | awk -F \. {'print $1 $2'})" >> $GITHUB_ENV
 
       - name: Free up disk space
         if: ${{ runner.os == 'Linux' }}
@@ -125,7 +126,12 @@ jobs:
             print(minv if int(env['MATRIX_CUDA_VERSION']) < 120 else maxv)" \
           )
           if [[ ${{ matrix.torch-version }} == *"dev"* ]]; then
-            pip install --no-cache-dir --pre torch==${{ matrix.torch-version }} --index-url https://download.pytorch.org/whl/nightly/cu${TORCH_CUDA_VERSION}
+            # pip install --no-cache-dir --pre torch==${{ matrix.torch-version }} --index-url https://download.pytorch.org/whl/nightly/cu${TORCH_CUDA_VERSION}
+            # Can't use --no-deps because we need cudnn etc.
+            # Hard-coding this version of pytorch-triton for torch 2.6.0.dev20241001
+            pip install jinja2
+            pip install https://download.pytorch.org/whl/nightly/pytorch_triton-3.1.0%2Bcf34004b8a-cp${MATRIX_PYTHON_VERSION}-cp${MATRIX_PYTHON_VERSION}-linux_x86_64.whl
+            pip install --no-cache-dir --pre https://download.pytorch.org/whl/nightly/cu${TORCH_CUDA_VERSION}/torch-${{ matrix.torch-version }}%2Bcu${TORCH_CUDA_VERSION}-cp${MATRIX_PYTHON_VERSION}-cp${MATRIX_PYTHON_VERSION}-linux_x86_64.whl
           else
             pip install --no-cache-dir torch==${{ matrix.torch-version }} --index-url https://download.pytorch.org/whl/cu${TORCH_CUDA_VERSION}
           fi

mamba_ssm/__init__.py

@@ -1,4 +1,4 @@
-__version__ = "2.2.3.post1"
+__version__ = "2.2.3.post2"
 
 from mamba_ssm.ops.selective_scan_interface import selective_scan_fn, mamba_inner_fn
 from mamba_ssm.modules.mamba_simple import Mamba

pyproject.toml

@@ -6,7 +6,7 @@ authors = [
     { name = "Tri Dao", email = "[email protected]" },
     { name = "Albert Gu", email = "[email protected]" }
 ]
-requires-python = ">= 3.7"
+requires-python = ">= 3.9"
 dynamic = ["version"]
 license = { file = "LICENSE" }  # Include a LICENSE file in your repo
 keywords = ["cuda", "pytorch", "state-space model"]
@@ -24,7 +24,8 @@ dependencies = [
     "packaging",
     "setuptools>=61.0.0",
 ]
-urls = { name = "Repository", url = "https://github.com/state-spaces/mamba"}
+[project.urls]
+Repository = "https://github.com/state-spaces/mamba"
 
 [project.optional-dependencies]
 causal-conv1d = [