diff --git a/.github/ci/gpu-tests.sky.yaml b/.github/ci/gpu-tests.sky.yaml index c2f8f54a..7e81fe7a 100644 --- a/.github/ci/gpu-tests.sky.yaml +++ b/.github/ci/gpu-tests.sky.yaml @@ -20,20 +20,12 @@ setup: | https://github.com/primatrix/pallas-kernel.git ~/pallas-kernel cd ~/pallas-kernel - # Use uv's managed Python 3.12 (VM ships Python 3.10, project requires >=3.12) - uv venv --python 3.12 .venv - source .venv/bin/activate - uv pip install -e '.[gpu]' - uv pip install pytest + uv sync --extra gpu run: | set -ex cd ~/pallas-kernel - source .venv/bin/activate - - # Run only GPU tests: CPU ref vs FLA Triton (simple_gla only) - # -k triton skips CPU-only cross-validation tests - python -m pytest \ + uv run python -m pytest \ -o "addopts=--strict-markers" \ tests/ref/simple_gla/ \ -k triton \ diff --git a/CLAUDE.md b/CLAUDE.md index 69b23c62..0536d38e 100644 --- a/CLAUDE.md +++ b/CLAUDE.md @@ -10,9 +10,10 @@ High-performance JAX/Pallas TPU and GPU kernels for modern neural network archit ```bash # Install dependencies -uv sync # Base install -uv sync --extra gpu # With GPU support (CUDA 12.6) -uv sync --extra tpu # With TPU support +uv sync # Base install (with pytest) +uv sync --extra dev # With dev tools (ruff, pre-commit) +uv sync --extra gpu # GPU development +uv sync --extra tpu # TPU development # Run tests uv run pytest tests/ -v # All tests diff --git a/pyproject.toml b/pyproject.toml index 0a5e44be..9a23af93 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5,36 +5,30 @@ build-backend = "hatchling.build" [project] name = "tops" dynamic = ["version"] -description = "JAX/Flax Pallas kernels for Gated Linear Attention (GLA)" +description = "High-performance JAX/Pallas kernels for modern neural network architectures" readme = "README.md" requires-python = ">=3.12" license = "Apache-2.0" dependencies = [ "einops>=0.8.2", "flax>=0.11.2", - "numpy>=2.4.2", "pytest>=9.0.2", ] [project.optional-dependencies] dev = [ "pre-commit>=4.5.1", - "pytest>=9.0.2", "ruff>=0.15.0", ] gpu = [ "torch", - "torchvision", - "jax[cuda12,gpu]>=0.6.2", - "flash-linear-attention[gpu]>=0.4.1", + "jax[cuda12]>=0.6.2", + "flash-linear-attention>=0.4.1", ] tpu = [ "jax[tpu]>=0.8.1", "torch", ] -profile = [ - "xprof==2.22.0", -] [[tool.uv.index]] name = "pytorch-cu126" @@ -59,7 +53,6 @@ torch = [ { index = "pytorch-cu126", extra = "gpu" }, { index = "pytorch-cpu", extra = "tpu" }, ] -torchvision = [{ index = "pytorch-cu126", extra = "gpu" }] [tool.pytest.ini_options] diff --git a/scripts/launch-tpuv7.yml b/scripts/launch-tpuv7.yml index d7369430..7c67ec12 100644 --- a/scripts/launch-tpuv7.yml +++ b/scripts/launch-tpuv7.yml @@ -22,19 +22,22 @@ spec: - | set -ex - # 1. 准备 SSH 环境 (Secret 挂载通常是只读的，所以需要 cp 到家目录) + # 1. SSH setup (Secret mount is read-only, copy to home) mkdir -p ~/.ssh cp /etc/ssh-key/id_ed25519 ~/.ssh/id_ed25519 chmod 600 ~/.ssh/id_ed25519 - # 2. 扫描 GitHub 指纹避免交互式确认 + # 2. Scan GitHub fingerprint to avoid interactive confirmation ssh-keyscan github.com >> ~/.ssh/known_hosts - # pip install -U --pre jax jaxlib libtpu requests -i https://us-python.pkg.dev/ml-oss-artifacts-published/jax/simple/ -f https://storage.googleapis.com/jax-releases/libtpu_releases.html + # 3. Install uv pip install uv - # git clone https://github.com/primatrix/ant-pretrain.git - # cd ant-pretrain && git checkout feat/kda-with-kernel + # 4. 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