Added .devcontainer setup and updated versions (#59)

* dev container env

* devcontainer working

* include py311 and bump minor version

* update torch to 2.5.0

* add cupy dependency

* jax[cuda] working

* tensor_split expects tensor_indices_or_sections to be on cpu

* exclude py38 with torch25

Signed-off-by: theo-barfoot <[email protected]>

---------

Signed-off-by: theo-barfoot <[email protected]>

Author: theo-barfoot

.devcontainer/Dockerfile

@@ -0,0 +1,45 @@
+# Stage 1: NVIDIA CUDA Image
+ARG CUDA_VERSION=12.5.0
+FROM nvidia/cuda:${CUDA_VERSION}-runtime-ubuntu22.04 AS cuda-base
+
+# Stage 2: Miniconda setup from configuration
+FROM continuumio/miniconda3 AS miniconda-stage
+
+# Stage 3: Final image combining CUDA and Miniconda
+FROM mcr.microsoft.com/devcontainers/base:ubuntu-22.04
+
+# Copy from CUDA base
+COPY --from=cuda-base /usr/local/cuda /usr/local/cuda
+
+# Copy Miniconda from the Miniconda stage
+COPY --from=miniconda-stage /opt/conda /opt/conda
+
+# Set environment variables for Miniconda
+ENV PATH /opt/conda/bin:$PATH
+ENV LANG=C.UTF-8 LC_ALL=C.UTF-8
+
+# Install Python 3.10
+ARG PYTHON_VERSION=3.12
+RUN conda install python=${PYTHON_VERSION}
+
+# Arguments for PyTorch and CUDA Toolkit versions
+ARG PYTORCH_VERSION=2.5.0
+ARG CUDATOOLKIT_VERSION=12.4
+
+# Install PyTorch and other dependencies
+RUN conda install pytorch=${PYTORCH_VERSION} pytorch-cuda=${CUDATOOLKIT_VERSION} -c pytorch -c nvidia
+
+# Handle environment.yml if it exists
+RUN echo env_change_20241021_2
+COPY environment.yml* noop.txt /tmp/conda-tmp/
+RUN if [ -f "/tmp/conda-tmp/environment.yml" ]; then \
+    /opt/conda/bin/conda env update -n base -f /tmp/conda-tmp/environment.yml; \
+    fi \
+    && rm -rf /tmp/conda-tmp
+
+# Append Miniconda to PATH in .bashrc for interactive shells
+RUN echo ". /opt/conda/etc/profile.d/conda.sh" >> /root/.bashrc \
+    && echo "conda activate base" >> /root/.bashrc
+
+# Final CMD or ENTRYPOINT
+CMD ["bash"]

.devcontainer/devcontainer.json

@@ -0,0 +1,51 @@
+{
+    "name": "torchsparsegradutils Dev Container",
+    "build": {
+        "dockerfile": "./Dockerfile",
+        "context": ".",
+        "args": {
+            "CUDA_VERSION": "12.4.0",
+            "PYTORCH_VERSION": "2.5.0",
+            "CUDATOOLKIT_VERSION": "12.4",
+            "PYTHON_VERSION": "3.12"
+        }
+    },
+    "runArgs": [
+        "--gpus",
+        "all"
+    ],
+    "remoteEnv": {
+        "SSH_AUTH_SOCK": "/tmp/ssh-agent.sock"
+    },
+    "customizations": {
+        "vscode": {
+            "settings": {
+                "python.defaultInterpreterPath": "/opt/conda/bin/python",
+                "terminal.integrated.shell.linux": "/bin/bash",
+                "terminal.integrated.env.linux": {
+                    "CONDA_DEFAULT_ENV": "base",
+                    "CONDA_PREFIX": "/opt/conda",
+                    "CONDA_PYTHON_EXE": "/opt/conda/bin/python",
+                    "PATH": "/opt/conda/bin:${env:PATH}"
+                },
+                "python.testing.pytestArgs": [
+                    "torchsparsegradutils/tests"
+                ],
+                "python.testing.unittestEnabled": false,
+                "python.testing.pytestEnabled": true
+            },
+            "extensions": [
+                "dbaeumer.vscode-eslint",
+                "ms-python.vscode-pylance",
+                "ms-python.python",
+                "github.copilot",
+                "GitHub.vscode-pull-request-github",
+                "GitHub.vscode-github-actions",
+                "mhutchie.git-graph",
+                "waderyan.gitblame"
+            ]
+        }
+    },
+    "remoteUser": "vscode",
+    "postCreateCommand": "echo 'Container is ready!'"
+}

.devcontainer/environment.yml

@@ -0,0 +1,22 @@
+name: base
+channels:
+  - conda-forge
+  - defaults
+dependencies:
+  - numpy
+  - cupy
+  - scipy
+  - pre-commit==3.7.1
+  - black==24.4.2
+  - flake8==7.1.0
+  - parameterized==0.9.0
+  - pytest==8.2.2
+  - pytest-rerunfailures==14.0
+  - pyyaml==6.0.1
+  - conda-libmamba-solver
+  - libmamba
+  - libmambapy
+  - libarchive
+  - pip
+  - pip:
+    - "jax[cuda12]"

.devcontainer/noop.txt

@@ -13,10 +13,12 @@ jobs:
       fail-fast: false
       matrix:
         python-version: ["3.8", "3.10", "3.12"]
-        torch-version: ["1.13.1", "2.4.1"]
+        torch-version: ["1.13.1", "2.5.0"]
         exclude:
         - python-version: "3.12"
           torch-version: "1.13.1"
+        - python-version: "3.8"
+          torch-version: "2.5.0"
 
     steps:
     - uses: actions/checkout@v4

.github/workflows/python-package.yml

@@ -1,16 +1,16 @@
 repos:
   - repo: https://github.com/psf/black
-    rev: 23.3.0
+    rev: 24.4.2
     hooks:
     - id: black
       language_version: python3.10
 
   - repo: https://github.com/pycqa/flake8
-    rev: 6.0.0
+    rev: 7.1.0
     hooks:
     - id: flake8
 
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.4.0
+    rev: v4.6.0
     hooks:
     -   id: trailing-whitespace

.pre-commit-config.yaml

@@ -1,6 +1,6 @@
 [tool.black]
 line-length = 120
-target-version = ['py37', 'py38', 'py39', 'py310']
+target-version = ['py38', 'py39', 'py310', 'py311', 'py312']
 include = '\.pyi?$'
 exclude = '''
 (
@@ -21,4 +21,4 @@ exclude = '''
   # also separately exclude other files if needed
   #| some_file
 )
-'''
+'''

pyproject.toml

@@ -8,7 +8,7 @@ def readme():
 
 setuptools.setup(
     name="torchsparsegradutils",
-    version="0.1.2",
+    version="0.1.3",
     description="A collection of utility functions to work with PyTorch sparse tensors",
     long_description=readme(),
     long_description_content_type="text/markdown",
@@ -18,6 +18,7 @@ def readme():
         "Programming Language :: Python :: 3.8",
         "Programming Language :: Python :: 3.9",
         "Programming Language :: Python :: 3.10",
+        "Programming Language :: Python :: 3.11",
         "Programming Language :: Python :: 3.12",
     ],
     python_requires=">=3.8",

setup.py

@@ -45,7 +45,7 @@ def segment_mm(a, b, seglen_a):
     if not a.shape[1] == D1 or not seglen_a.shape[0] == R:
         raise ValueError("Incompatible size for inputs")
 
-    segidx_a = torch.cumsum(seglen_a[:-1], dim=0)
+    segidx_a = torch.cumsum(seglen_a[:-1], dim=0).cpu()
 
     # Ideally the conversions below to nested tensor would be handled natively
     nested_a = torch.nested.as_nested_tensor(torch.tensor_split(a, segidx_a, dim=0))