diff --git a/.agents/skills/uv-build/SKILL.md b/.agents/skills/uv-build/SKILL.md index 7067d93d9..7b88e6ad6 100644 --- a/.agents/skills/uv-build/SKILL.md +++ b/.agents/skills/uv-build/SKILL.md @@ -2,7 +2,7 @@ # SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. # SPDX-License-Identifier: Apache-2.0 name: uv-build -description: "uv package management, dependency groups, PyTorch index handling, hatch build system, and versioning for this repo. Triggers on: uv, uv sync, uv lock, uv add, uv build, dependency, pyproject.toml, extras, cpu, cu128, hatch, wheel, version, publish." +description: "uv package management, dependency groups, PyTorch index handling, hatch build system, and versioning for this repo. Triggers on: uv, uv sync, uv lock, uv add, uv build, dependency, pyproject.toml, extras, cpu, cu129, hatch, wheel, version, publish." license: Apache-2.0 --- @@ -17,24 +17,29 @@ Package management with uv, extras for CPU/CUDA, hatch build, and dynamic versio make bootstrap-tools && make bootstrap-nss cpu # Pick a variant: -make bootstrap-nss dev # dev tools only (no engine/torch) -make bootstrap-nss cpu # + engine + CPU PyTorch -make bootstrap-nss cu129 # + engine + CUDA 12.9 PyTorch -make bootstrap-nss engine # + engine (no torch) +make bootstrap-nss dev # dev tools only +make bootstrap-nss cpu # runtime deps + CPU PyTorch +make bootstrap-nss cu129 # runtime deps + CUDA 12.9 PyTorch +make bootstrap-nss cu130 # runtime deps + CUDA 13.0 PyTorch ``` -Under the hood: `uv sync --frozen --extra [--extra engine] --group dev` +Under the hood: + +```bash +uv sync --frozen --group dev # dev tools only +uv sync --frozen --extra --group dev # cpu, cu129, or cu130 +``` ## Extras and Conflicts | Extra | What it installs | |-------|------------------| -| `cpu` | PyTorch CPU, faiss-cpu, flashinfer (Linux only) | -| `cu129` | PyTorch+CUDA 12.9, faiss-gpu, flashinfer-jit-cache | -| `engine` | ML pipeline deps (outlines, wandb, tiktoken, etc.) -- no torch | +| `cpu` | Runtime deps, shared Torch-adjacent deps, and CPU PyTorch | +| `cu129` | Runtime deps, shared Torch-adjacent deps, CUDA deps, and CUDA 12.9 PyTorch | +| `cu130` | Runtime deps, shared Torch-adjacent deps, CUDA deps, and CUDA 13.0 PyTorch | | `microservices` | `nemo-microservices` from local path | -`cpu` and `cu129` conflict -- you must pick one, never both. Enforced in `[tool.uv] conflicts`. +`cpu`, `cu129`, and `cu130` conflict -- pick exactly one runtime extra. Enforced in `[tool.uv] conflicts`. ## Index Management diff --git a/.claude/commands/bootstrap.md b/.claude/commands/bootstrap.md index f192abe43..45611b46d 100644 --- a/.claude/commands/bootstrap.md +++ b/.claude/commands/bootstrap.md @@ -13,8 +13,9 @@ Set up the development environment from scratch. 2. Install Python dependencies (choose one): ```bash make bootstrap-nss cpu # CPU-only (macOS or Linux without GPU) - make bootstrap-nss cuda # CUDA 12.9 (Linux with NVIDIA GPU) - make bootstrap-nss engine # Engine dependencies only (no torch) + make bootstrap-nss cu129 # CUDA 12.9 (Linux with NVIDIA GPU) + make bootstrap-nss cu130 # CUDA 13.0 (Linux with NVIDIA GPU) + make bootstrap-nss docs # Documentation dependencies only make bootstrap-nss dev # Minimal dev dependencies only ``` diff --git a/.cursor/rules/repo-navigation.mdc b/.cursor/rules/repo-navigation.mdc index 4d29ed90f..5bd92176f 100644 --- a/.cursor/rules/repo-navigation.mdc +++ b/.cursor/rules/repo-navigation.mdc @@ -27,7 +27,7 @@ Cursor discovers skills directly from `.agents/skills/` -- no symlinks needed. | File | Purpose | |------|---------| -| `pyproject.toml` | Package metadata, dependencies, extras (cpu/cu128/engine), uv config | +| `pyproject.toml` | Package metadata, dependencies, runtime extras (cpu/cu129/cu130), uv config | | `pytest.ini` | Test markers, pytest options, timeout, parallelism | | `ruff.toml` | Ruff linting and formatting rules | | `mkdocs.yml` | Documentation site config (MkDocs Material) | diff --git a/.cursor/setup-worktree.sh b/.cursor/setup-worktree.sh index db43b6a76..e700ab704 100755 --- a/.cursor/setup-worktree.sh +++ b/.cursor/setup-worktree.sh @@ -16,10 +16,10 @@ fi # Bare --frozen installs the base environment. For GPU dev work (ty, import # checks, GPU tests) run the full command manually after setup: -# uv sync --frozen --extra cu129 --extra engine --group dev +# uv sync --frozen --extra cu129 --group dev uv sync --frozen echo "Venv ready: $(pwd)/.venv" -echo "Note: for GPU extras run: uv sync --frozen --extra cu129 --extra engine --group dev" +echo "Note: for GPU extras run: uv sync --frozen --extra cu129 --group dev" for _envfile in .env .env.local mise.local.toml .local.envrc; do if [ -f "$ROOT_WORKTREE_PATH/$_envfile" ]; then diff --git a/.github/actions/setup-gpu-test-env/action.yml b/.github/actions/setup-gpu-test-env/action.yml index eb406ec29..150ac1448 100644 --- a/.github/actions/setup-gpu-test-env/action.yml +++ b/.github/actions/setup-gpu-test-env/action.yml @@ -63,7 +63,24 @@ runs: shell: bash run: make bootstrap-nss ${{ inputs.cuda-extra }} - - name: Check GPU availability + - name: Report GPU environment shell: bash run: | - uv run python -c "import torch; print('cuda available:', torch.cuda.is_available()); print('device count:', torch.cuda.device_count())" + if command -v nvidia-smi >/dev/null 2>&1; then + nvidia-smi --query-gpu=driver_version,name --format=csv,noheader + else + echo "nvidia-smi: not available" + fi + uv run python - <<'PY' + import platform + import torch + + print("python:", platform.python_version()) + print("machine:", platform.machine()) + print("torch:", torch.__version__) + print("torch cuda:", torch.version.cuda) + print("cuda available:", torch.cuda.is_available()) + if torch.cuda.is_available(): + print("device count:", torch.cuda.device_count()) + print("device 0:", torch.cuda.get_device_name(0)) + PY diff --git a/.github/copy-pr-bot.yaml b/.github/copy-pr-bot.yaml index 1bce95937..d60cf892b 100644 --- a/.github/copy-pr-bot.yaml +++ b/.github/copy-pr-bot.yaml @@ -13,8 +13,8 @@ # # On-demand runs: comment `/sync` on any open PR to trigger GPU test runs # immediately without pushing a new commit. The bot pushes the current HEAD to -# pull-request/, which fires gpu-tests.yml and posts the GPU CI Status -# check result back to the PR. Useful for draft PRs or re-running flaky tests. +# pull-request/. GPU workflow runs require the pull-request/* push +# trigger in gpu-tests.yml, which is currently disabled. enabled: true auto_sync_draft: false diff --git a/.github/workflows/README.md b/.github/workflows/README.md index 8e94c6cd2..593a81a5c 100644 --- a/.github/workflows/README.md +++ b/.github/workflows/README.md @@ -11,8 +11,8 @@ All workflows that use `.github/actions/setup-python-env` now default to the ver | Workflow | Trigger | Description | | -------------------------------------------------- | --------------------------- | ---------------------------------------------------------------------------------------------------------- | -| [ci-checks.yml](ci-checks.yml) | Push to `main`, PRs, manual | Format, typecheck, unit tests, and CPU smoke tests | -| [gpu-tests.yml](gpu-tests.yml) | Nightly, manual | GPU smoke tests (required) and E2E tests | +| [ci-checks.yml](ci-checks.yml) | Push to `main`, PRs, manual | Format, lock/generated dependency checks, typecheck, unit tests, and CPU smoke tests | +| [gpu-tests.yml](gpu-tests.yml) | Nightly, manual | GPU smoke tests (intended to be required when PR GPU checks are re-enabled) and E2E tests | | [conventional-commit.yml](conventional-commit.yml) | PRs | Validates PR titles follow conventional commit format | | [docs.yml](docs.yml) | Push to `main` (docs paths) | Publishes `main` docs as the `latest` GitHub Pages version | | [release.yml](release.yml) | Push tags to `v*` | Builds and publishes package to Test PyPI/PyPI, creates a GitHub release, and publishes versioned docs | @@ -20,9 +20,9 @@ All workflows that use `.github/actions/setup-python-env` now default to the ver ## Pull Request Testing -GPU tests on PRs are currently disabled due to internal constraints. `gpu-tests.yml` has its `push` trigger commented out, so it runs only on the nightly schedule or manual `workflow_dispatch`. +GPU tests on PRs are currently disabled due to internal constraints. The `pull-request/*` push trigger is commented out in `gpu-tests.yml`, so copy-pr-bot syncs do not start GPU workflow runs until that trigger is reenabled. -GPU tests (`gpu-tests.yml`) run on NVIDIA self-hosted runners, which block `pull_request`-triggered jobs. When PR GPU testing is re-enabled, use the [copy-pr-bot](https://docs.gha-runners.nvidia.com/platform/apps/copy-pr-bot/) pattern: +When PR GPU tests are reenabled, `gpu-tests.yml` should use the [copy-pr-bot](https://docs.gha-runners.nvidia.com/platform/apps/copy-pr-bot/) pattern because NVIDIA self-hosted runners block `pull_request`-triggered jobs: 1. When a PR is opened by a trusted user with trusted changes, `copy-pr-bot` automatically copies the code to a `pull-request/` branch 2. The push to `pull-request/` triggers the GPU workflow @@ -49,7 +49,7 @@ When this path is re-enabled, use `/sync` when: flowchart LR subgraph triggers [Triggers] push[Push to main] - schedule[Nightly Schedule] + schedule[Nightly schedule] pr[Pull Request event] manual[Manual Dispatch] end @@ -112,7 +112,7 @@ The `ci-checks.yml` workflow runs on every push to `main` and on pull requests. | Job | `make` target | What it checks | | --- | --- | --- | | Format | `format-check` | `ruff format --check` + `ruff check` + SPDX copyright headers | -| Format (lock) | `lock-check` | `uv.lock` matches `pyproject.toml` | +| Format (lock) | `lock-check` | `uv.lock` matches `pyproject.toml`; generated CUDA dependency sections match `cuda_deps.toml` | | Typecheck | `typecheck` | `ty check` (excludes per `pyproject.toml [tool.ty.src]`) | | Unit Tests | `test-ci` | pytest with coverage (excludes slow, e2e, gpu, smoke) | | Smoke Tests | `test-smoke` | CPU smoke tests (training/generation hot paths, tiny models) | @@ -127,7 +127,7 @@ To replicate CI locally: ```bash make check # format-check + typecheck -make lock-check # verify uv.lock +make lock-check # verify uv.lock and generated CUDA dependency sections make test # unit tests make test-smoke # CPU smoke tests ``` @@ -138,7 +138,7 @@ All jobs run on `ubuntu-latest` (GitHub-hosted). The `gpu-tests.yml` workflow runs nightly at 02:00 UTC, and can also be triggered manually via `workflow_dispatch`. Manual dispatch includes a `suite` dropdown with `all`, `smoke`, and `e2e` options. The `push` trigger for `pull-request/*` branches is currently commented out due to internal blockers, so PRs do not automatically produce GPU status checks. We expect to re-enable that path as soon as those blockers are resolved. There are several key jobs: -- GPU Smoke Tests: staged smoke tests on a gpu runner with a 30-minute job timeout. The train-only, generation, resume, structured generation, timeseries, and SmolLM2 lanes run as separate workflow steps. Required for merge when the workflow is part of branch protection. +- GPU Smoke Tests: Quick smoke tests on a gpu runner with a 30-minute job timeout and 20-minute step timeout. These are intended to be required for merge when PR GPU status checks are re-enabled. - GPU E2E Tests: End-to-end tests on a gpu runner with a 60-minute job timeout and 45-minute step timeout. Informational -- failures produce a warning but don't block merge. - GPU CI Status: Aggregation job for the GPU workflow. It is not currently a live branch-protection requirement while PR GPU runs are disabled; when re-enabled, it is intended to be the required GPU check. It fails if smoke tests fail and warns if E2E tests fail. diff --git a/.github/workflows/gpu-tests.yml b/.github/workflows/gpu-tests.yml index efff8a2ea..50b184c0a 100644 --- a/.github/workflows/gpu-tests.yml +++ b/.github/workflows/gpu-tests.yml @@ -13,9 +13,9 @@ # limitations under the License. # --------------------------------------------------------------------------- -# GPU tests run on NVIDIA on-prem self-hosted runners and use the copy-pr-bot -# pattern: PRs are tested via push events to pull-request/* branches rather -# than pull_request events. +# GPU tests run on NVIDIA on-prem self-hosted runners. PR copy-pr-bot testing +# uses push events to pull-request/* branches rather than pull_request events, +# but that push trigger is currently disabled below. # See: https://docs.gha-runners.nvidia.com/platform/apps/copy-pr-bot/ # --------------------------------------------------------------------------- @@ -58,6 +58,8 @@ jobs: contents: read outputs: src_test_deps: ${{ steps.changes.outputs.src_test_deps }} + deps: ${{ steps.changes.outputs.deps }} + ci: ${{ steps.changes.outputs.ci }} steps: - uses: actions/checkout@v6 - name: Detect changes @@ -65,7 +67,7 @@ jobs: uses: ./.github/actions/detect-changes gpu-smoke-test: - name: GPU Smoke Tests + name: GPU Smoke Tests (Python 3.11, ${{ matrix.cuda-extra }}) needs: changes # `changes` is intentionally skipped on workflow_dispatch. `always()` lets # manual runs bypass that skipped dependency and run the selected GPU suite. @@ -74,7 +76,9 @@ jobs: always() && ( github.event_name == 'workflow_dispatch' || - needs.changes.outputs.src_test_deps == 'true' + needs.changes.outputs.src_test_deps == 'true' || + needs.changes.outputs.deps == 'true' || + needs.changes.outputs.ci == 'true' ) && ( github.event_name != 'workflow_dispatch' || @@ -82,8 +86,17 @@ jobs: inputs.suite == 'smoke' ) }} + continue-on-error: ${{ matrix.required == false }} timeout-minutes: 30 runs-on: linux-amd64-gpu-a100-latest-1 + strategy: + fail-fast: false + matrix: + include: + - cuda-extra: cu129 + required: true + - cuda-extra: cu130 + required: false steps: - name: checkout uses: actions/checkout@v6 @@ -92,6 +105,9 @@ jobs: - name: Setup GPU test environment uses: ./.github/actions/setup-gpu-test-env + with: + python-version: "3.11" + cuda-extra: ${{ matrix.cuda-extra }} - name: Run GPU smoke tests - train only timeout-minutes: 10 @@ -118,7 +134,7 @@ jobs: run: make test-smoke-gpu-smollm2 gpu-e2e-test: - name: GPU E2E Tests + name: GPU E2E Tests (Python 3.11, ${{ matrix.cuda-extra }}) needs: changes # `changes` is intentionally skipped on workflow_dispatch. `always()` lets # manual runs bypass that skipped dependency and run the selected GPU suite. @@ -127,7 +143,9 @@ jobs: always() && ( github.event_name == 'workflow_dispatch' || - needs.changes.outputs.src_test_deps == 'true' + needs.changes.outputs.src_test_deps == 'true' || + needs.changes.outputs.deps == 'true' || + needs.changes.outputs.ci == 'true' ) && ( github.event_name != 'workflow_dispatch' || @@ -135,8 +153,17 @@ jobs: inputs.suite == 'e2e' ) }} + continue-on-error: ${{ matrix.required == false }} timeout-minutes: 60 runs-on: linux-amd64-gpu-a100-latest-1 + strategy: + fail-fast: false + matrix: + include: + - cuda-extra: cu129 + required: true + - cuda-extra: cu130 + required: false steps: - name: checkout uses: actions/checkout@v6 @@ -145,6 +172,9 @@ jobs: - name: Setup GPU test environment uses: ./.github/actions/setup-gpu-test-env + with: + python-version: "3.11" + cuda-extra: ${{ matrix.cuda-extra }} - name: Run GPU E2E tests timeout-minutes: 45 diff --git a/AGENTS.md b/AGENTS.md index 0cd60ca98..61131521e 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -24,7 +24,7 @@ Common commands: `make test` (unit tests), `make format` (auto-fix formatting + The canonical `uv sync` command for a full GPU/dev environment is: ```bash -uv sync --frozen --extra cu129 --extra engine --group dev +uv sync --frozen --extra cu129 --group dev ``` Bare `uv sync --frozen` (without extras) installs an incomplete environment -- `ty`, import checks, and GPU tests will fail. diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 432f15e8d..5f6366486 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -59,8 +59,9 @@ Please read our [Code of Conduct](CODE_OF_CONDUCT.md) before contributing. # Install Python dependencies (choose one) make bootstrap-nss cpu # CPU-only (macOS or Linux without GPU) - make bootstrap-nss cuda # CUDA 12.9 (Linux with NVIDIA GPU) - make bootstrap-nss engine # Engine dependencies only + make bootstrap-nss cu129 # CUDA 12.9 (Linux with NVIDIA GPU) + make bootstrap-nss cu130 # CUDA 13.0 (Linux with NVIDIA GPU) + make bootstrap-nss docs # Documentation dependencies only make bootstrap-nss dev # Minimal dev dependencies only ``` @@ -490,6 +491,60 @@ All `make` targets check the entire project. Pre-commit scopes checks to staged | uv lock drift | `make lock-check` | not checked | on `pyproject.toml` changes | | DCO signoff | branch protection | not checked | commit-msg hook | +## Dependency Updates + +Dependency updates have two generated surfaces: + +- CUDA/runtime extras: `cuda_deps.toml` is the source of truth. `pyproject.toml` is generated from it. +- Security floors: `[tool.uv] constraint-dependencies` in `pyproject.toml` is the source of truth. `constraints.txt` is generated from it and published for downstream `pip` / `uv pip` installs. + +### CUDA and Accelerator Dependencies + +Edit `cuda_deps.toml` for changes to the CPU, CUDA 12.9, CUDA 13.0, PyTorch, FlashInfer, or NVIDIA package matrix. Do not hand-edit the generated `cpu`, `cu129`, `cu130`, `[tool.uv.sources]`, or `[[tool.uv.index]]` sections in `pyproject.toml`. + +After editing `cuda_deps.toml`, regenerate `pyproject.toml`: + +```bash +uv run --script tools/gen_cuda_deps.py cuda_deps.toml --pyproject pyproject.toml +uv lock +``` + +Then verify the generated sections are current: + +```bash +uv run --script tools/gen_cuda_deps.py cuda_deps.toml --pyproject pyproject.toml --check +uv run pytest tests/test_gen_cuda_deps.py +make lock-check +``` + +When adding a new CUDA extra, update all user-facing install surfaces in the same PR: + +- `managed_extras` in `cuda_deps.toml` +- `install_nss.sh` +- `docs/user-guide/getting-started.md` +- `README.md` + +Use dry runs to confirm the installer emits the expected command matrix: + +```bash +DRY_RUN=1 CUDA=129 bash install_nss.sh +DRY_RUN=1 CUDA=130 bash install_nss.sh +DRY_RUN=1 CUDA=cpu bash install_nss.sh +``` + +### Security Floors and Constraints + +Dependabot CVE floors are applied with `tools/patch_dependabot.py`. The script bumps direct dependencies in `pyproject.toml`, adds transitive floors to `[tool.uv] constraint-dependencies`, writes the exported `constraints.txt`, and refreshes `uv.lock`. + +```bash +export GITHUB_TOKEN="$(gh auth token)" +uv run tools/patch_dependabot.py +``` + +The exported `constraints.txt` is intentionally not CUDA-version-specific. Runtime selection comes from the selected extra (`cpu`, `cu129`, `cu130`) and package indexes; security floors come from the shared constraints file. + +If you update `[tool.uv] constraint-dependencies` by hand, regenerate `constraints.txt` before opening a PR. The simplest supported path is to run `tools/patch_dependabot.py` with a cached `dependabot.json` or an active `GITHUB_TOKEN`, then review the resulting `pyproject.toml`, `constraints.txt`, and `uv.lock` diff. + ## Documentation This project uses [MkDocs Material](https://squidfunk.github.io/mkdocs-material/) for its documentation site, hosted at . @@ -579,7 +634,29 @@ Before contributing, run `make format` and `make check`. See `AGENTS.md` for ful Releases are published to PyPI via the **Release NeMo Safe Synthesizer** GitHub Actions workflow. The workflow builds the wheel from a git tag, publishes to Test PyPI as a pre-flight check, publishes to the real PyPI, and creates a GitHub release. -### 1. Create and push a tag +### 1. Run dependency and install preflight + +Before tagging a release, verify generated dependency artifacts and install instructions are current: + +```bash +uv run --script tools/gen_cuda_deps.py cuda_deps.toml --pyproject pyproject.toml --check +uv run pytest tests/test_gen_cuda_deps.py +make lock-check +DRY_RUN=1 CUDA=129 bash install_nss.sh +DRY_RUN=1 CUDA=130 bash install_nss.sh +DRY_RUN=1 CUDA=cpu bash install_nss.sh +``` + +If Dependabot security floors changed since the last release, run: + +```bash +export GITHUB_TOKEN="$(gh auth token)" +uv run tools/patch_dependabot.py +``` + +Review `pyproject.toml`, `constraints.txt`, and `uv.lock` together. The release publishes the wheel to PyPI, but downstream installers also depend on the raw `constraints.txt` and `install_nss.sh` URLs from the release branch. + +### 2. Create and push a tag Release versions follow [PEP440](https://peps.python.org/pep-0440/) with major, minor, and patch release numbers. This project uses stable releases and release candidates only; prerelease versions append the suffix rcN (no dash, as specified by PEP440). @@ -610,7 +687,7 @@ git tag v0.1.0rc1 git push origin ``` -### 2. Monitor the workflow run +### 3. Monitor the workflow run The [workflow](https://github.com/NVIDIA-NeMo/Safe-Synthesizer/actions/workflows/release.yml) to release is triggered automatically when a tag starting with `v` is pushed to GitHub. diff --git a/Makefile b/Makefile index 8c4770fb6..6b4eaffd5 100644 --- a/Makefile +++ b/Makefile @@ -83,27 +83,29 @@ verify-python-version: ## Verify Python version and install if necessary .PHONY: bootstrap-python bootstrap-python: .venv ## Bootstrap Python dependencies. Set PYTORCH_DEPS to 'cpu' or 'cu129'. Here mostly for legacy usage. - uv sync --frozen --extra ${PYTORCH_DEPS} --extra engine --group dev + uv sync --frozen --extra ${PYTORCH_DEPS} --group dev # Dynamic targets for bootstrap-nss -# Usage: make bootstrap-nss {dev,engine,cpu,cuda} -BOOTSTRAP_EXTRAS := dev engine cpu cuda cu129 +# Usage: make bootstrap-nss {dev,docs,cpu,cuda,cu129,cu130} +BOOTSTRAP_EXTRAS := dev docs cpu cuda cu129 cu130 $(BOOTSTRAP_EXTRAS): @: .PHONY: bootstrap-nss -bootstrap-nss: .venv ## Bootstrap Python dependencies. Usage: make bootstrap-nss {dev,engine,cpu,cuda} +bootstrap-nss: .venv ## Bootstrap Python dependencies. Usage: make bootstrap-nss {dev,docs,cpu,cuda,cu129,cu130} $(eval EXTRA := $(filter-out $@, $(MAKECMDGOALS))) @echo "~~~~~~" @echo "attempting to install nss package with primary extra: $(EXTRA)" @if [ "$(EXTRA)" = "cuda" ]; then \ - uv sync --frozen --extra cu129 --extra engine --group dev; \ + uv sync --frozen --extra cu129 --group dev; \ elif [ "$(EXTRA)" = "cu129" ]; then \ - uv sync --frozen --extra cu129 --extra engine --group dev; \ + uv sync --frozen --extra cu129 --group dev; \ elif [ "$(EXTRA)" = "cpu" ]; then \ - uv sync --frozen --extra cpu --extra engine --group dev; \ - elif [ "$(EXTRA)" = "engine" ]; then \ - uv sync --frozen --extra engine --group dev; \ + uv sync --frozen --extra cpu --group dev; \ + elif [ "$(EXTRA)" = "cu130" ]; then \ + uv sync --frozen --extra cu130 --group dev; \ + elif [ "$(EXTRA)" = "docs" ]; then \ + uv sync --frozen --group docs; \ elif [ "$(EXTRA)" = "dev" ]; then \ uv sync --frozen --group dev; \ else \ @@ -149,7 +151,8 @@ typecheck: ## Run ty type checks bash tools/codestyle/typecheck.sh .PHONY: lock-check -lock-check: ## Check that uv.lock is up to date +lock-check: ## Check that uv.lock and generated CUDA dependency sections are up to date + uv run --script tools/gen_cuda_deps.py cuda_deps.toml --pyproject pyproject.toml --check uv lock git diff --exit-code uv.lock # NOTE: mise.lock drift check is intentionally disabled because of `yq`. @@ -343,6 +346,8 @@ test-ci-container: container-build-test ## Run CI unit tests in a Linux containe CONTAINER_GPU_FILE := containers/Dockerfile.cuda CONTAINER_GPU_IMAGE ?= nss-gpu:latest CONTAINER_GPU_IMAGE_DEV ?= nss-gpu-dev:latest +CONTAINER_GPU_CUDA_EXTRA ?= cu129 +CONTAINER_GPU_CUDA_VERSION ?= 12.9.1 # Multi-arch: override for arm64 builds (e.g., Blackwell). # make container-build-gpu CONTAINER_GPU_PLATFORM=linux/arm64 CONTAINER_GPU_PLATFORM ?= linux/amd64 @@ -377,21 +382,36 @@ CONTAINER_GPU_RUN_OPTS := \ CONTAINER_GPU_BUILD_RUNTIME := --platform $(CONTAINER_GPU_PLATFORM) \ --tag $(CONTAINER_GPU_IMAGE) \ --target runtime \ + --build-arg CUDA_EXTRA=$(CONTAINER_GPU_CUDA_EXTRA) \ + --build-arg CUDA_VERSION=$(CONTAINER_GPU_CUDA_VERSION) \ --progress=plain \ -f $(CONTAINER_GPU_FILE) CONTAINER_GPU_BUILD_DEV := --platform $(CONTAINER_GPU_PLATFORM) \ --tag $(CONTAINER_GPU_IMAGE_DEV) \ --target dev \ + --build-arg CUDA_EXTRA=$(CONTAINER_GPU_CUDA_EXTRA) \ + --build-arg CUDA_VERSION=$(CONTAINER_GPU_CUDA_VERSION) \ --progress=plain \ -f $(CONTAINER_GPU_FILE) +define validate_cuda_pair + @case "$(CONTAINER_GPU_CUDA_EXTRA):$(CONTAINER_GPU_CUDA_VERSION)" in \ + cu129:12.9.*|cu130:13.0.*) ;; \ + cu129:*) echo "Error: cu129 requires CONTAINER_GPU_CUDA_VERSION=12.9.x (got $(CONTAINER_GPU_CUDA_VERSION))" >&2; exit 1 ;; \ + cu130:*) echo "Error: cu130 requires CONTAINER_GPU_CUDA_VERSION=13.0.x (got $(CONTAINER_GPU_CUDA_VERSION))" >&2; exit 1 ;; \ + *) echo "Error: unsupported CONTAINER_GPU_CUDA_EXTRA='$(CONTAINER_GPU_CUDA_EXTRA)'. Use cu129 or cu130." >&2; exit 1 ;; \ + esac +endef + .PHONY: container-build-gpu container-build-gpu: ## Build CUDA runtime container (CLI wrapper) + $(call validate_cuda_pair) $(CONTAINER_CMD) build $(CONTAINER_GPU_BUILD_RUNTIME) . .PHONY: container-build-gpu-dev container-build-gpu-dev: ## Build CUDA dev container (tools + test deps) + $(call validate_cuda_pair) $(CONTAINER_CMD) build $(CONTAINER_GPU_BUILD_DEV) . .PHONY: container-run-gpu @@ -418,10 +438,13 @@ endif ifeq (,$(shell command -v docker 2>/dev/null)) $(error Multi-arch builds require Docker with buildx. Podman does not support buildx.) endif + $(call validate_cuda_pair) docker buildx build \ --platform linux/amd64,linux/arm64 \ --tag $(CONTAINER_GPU_REGISTRY)/$(CONTAINER_GPU_IMAGE) \ --target runtime \ + --build-arg CUDA_EXTRA=$(CONTAINER_GPU_CUDA_EXTRA) \ + --build-arg CUDA_VERSION=$(CONTAINER_GPU_CUDA_VERSION) \ --progress=plain \ --push \ -f $(CONTAINER_GPU_FILE) . diff --git a/README.md b/README.md index 39ee8e449..e9368cd00 100644 --- a/README.md +++ b/README.md @@ -16,19 +16,54 @@ Read detailed usage below, or jump to the documentation with [Getting Started](h ### Installation +Choose one CUDA runtime extra. See the +[installation guide](https://nvidia-nemo.github.io/Safe-Synthesizer/user-guide/getting-started/#install-the-package) +for CPU and Docker installs. + +Installer script: + +```bash +# CUDA 12.9 with the installer script: +curl -fsSL https://raw.githubusercontent.com/NVIDIA-NeMo/Safe-Synthesizer/main/install_nss.sh | CUDA=129 bash + +# CUDA 13.0 with the installer script: +curl -fsSL https://raw.githubusercontent.com/NVIDIA-NeMo/Safe-Synthesizer/main/install_nss.sh | CUDA=130 bash +``` + +Raw commands: + ```bash -# With uv (recommended): -uv pip install "nemo-safe-synthesizer[cu129,engine]" \ +CONSTRAINTS_URL="https://raw.githubusercontent.com/NVIDIA-NeMo/Safe-Synthesizer/main/constraints.txt" + +# CUDA 12.9 with uv (recommended): +uv pip install "nemo-safe-synthesizer[cu129]" \ + -c "$CONSTRAINTS_URL" \ --index https://flashinfer.ai/whl/cu129 \ --index https://download.pytorch.org/whl/cu129 \ - --index https://wheels.vllm.ai/88d34c6409e9fb3c7b8ca0c04756f061d2099eb1/cu129 \ + --index https://pypi.nvidia.com \ + --index-strategy unsafe-best-match + +# CUDA 13.0 with uv (requires NVIDIA Linux driver 580.65.06+): +uv pip install "nemo-safe-synthesizer[cu130]" \ + -c "$CONSTRAINTS_URL" \ + --index https://flashinfer.ai/whl/cu130 \ + --index https://download.pytorch.org/whl/cu130 \ + --index https://pypi.nvidia.com \ --index-strategy unsafe-best-match -# With pip: -pip install "nemo-safe-synthesizer[cu129,engine]" \ +# CUDA 12.9 with pip: +pip install "nemo-safe-synthesizer[cu129]" \ + -c "$CONSTRAINTS_URL" \ --extra-index-url https://download.pytorch.org/whl/cu129 \ --extra-index-url https://flashinfer.ai/whl/cu129 \ - --extra-index-url https://wheels.vllm.ai/88d34c6409e9fb3c7b8ca0c04756f061d2099eb1/cu129 + --extra-index-url https://pypi.nvidia.com + +# CUDA 13.0 with pip (requires NVIDIA Linux driver 580.65.06+): +pip install "nemo-safe-synthesizer[cu130]" \ + -c "$CONSTRAINTS_URL" \ + --extra-index-url https://download.pytorch.org/whl/cu130 \ + --extra-index-url https://flashinfer.ai/whl/cu130 \ + --extra-index-url https://pypi.nvidia.com ``` Or install from source: @@ -37,7 +72,9 @@ Or install from source: git clone https://github.com/NVIDIA-NeMo/Safe-Synthesizer.git cd Safe-Synthesizer make setup # installs the pinned mise version (if missing) + pinned tool versions from mise.lock -make bootstrap-nss cuda +uv sync --frozen --extra cu129 --group dev +# or, for CUDA 13.0: +uv sync --frozen --extra cu130 --group dev ``` Development tools (`ruff`, `ty`, `yq`, `gh`, etc.) are managed via [mise](https://mise.jdx.dev/). Tool versions are declared in `.mise.toml` and locked in `mise.lock` (committed). mise also manages environment variables -- place project-local secrets or overrides in `.env` or `.env.local` (both git-ignored, auto-loaded by mise). diff --git a/containers/Dockerfile.cuda b/containers/Dockerfile.cuda index 3dca7e247..e89cd04f8 100644 --- a/containers/Dockerfile.cuda +++ b/containers/Dockerfile.cuda @@ -5,7 +5,7 @@ # # Stages: # tools -- install mise and all dev tools (uv, ruff, etc.) -# deps -- install Python, uv, and all cu129+engine dependencies +# deps -- install Python, uv, and the selected CUDA extra dependencies # runtime -- minimal CLI wrapper (ENTRYPOINT entrypoint.sh -> safe-synthesizer) # dev -- extends runtime with dev tools, tests, and interactive shell # @@ -59,6 +59,7 @@ ARG TARGETARCH # Build arguments # --------------------------------------------------------------------------- ARG CUDA_VERSION=12.9.1 +ARG CUDA_EXTRA=cu129 ARG UBUNTU_VERSION=22.04 # Use "runtime" when all deps ship pre-built wheels (current state). # Switch to "devel" if a future dependency requires CUDA compilation. @@ -110,6 +111,7 @@ RUN cp "$(mise which uv)" /usr/local/bin/uv && \ # --------------------------------------------------------------------------- FROM nvidia/cuda:${CUDA_VERSION}-${CUDA_IMAGE_TYPE}-ubuntu${UBUNTU_VERSION} AS deps +ARG CUDA_EXTRA ARG PYTHON_VERSION COPY --from=tools /usr/local/bin/uv /usr/local/bin/uv @@ -142,14 +144,14 @@ RUN --mount=type=cache,target=/root/.cache/uv \ # not when source code changes. COPY pyproject.toml uv.lock ./ RUN --mount=type=cache,target=/root/.cache/uv \ - uv sync --no-install-project --extra cu129 --extra engine --no-group dev + uv sync --no-install-project --extra ${CUDA_EXTRA} --no-group dev # -- Project layer: install the project (non-editable so the venv is # self-contained and source code is not needed in the runtime image). COPY README.md ./ COPY src/ src/ RUN --mount=type=cache,target=/root/.cache/uv \ - uv sync --no-editable --extra cu129 --extra engine --no-group dev + uv sync --no-editable --extra ${CUDA_EXTRA} --no-group dev # --------------------------------------------------------------------------- # Stage 3: runtime -- minimal image wrapping the safe-synthesizer CLI @@ -203,6 +205,7 @@ CMD ["--help"] # --------------------------------------------------------------------------- FROM runtime AS dev +ARG CUDA_EXTRA USER root RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \ @@ -233,7 +236,7 @@ COPY . . # Install dev dependencies into the existing venv. RUN --mount=type=cache,target=/root/.cache/uv \ - uv sync --extra cu129 --extra engine --group dev + uv sync --extra ${CUDA_EXTRA} --group dev RUN git config --global --add safe.directory /workspace diff --git a/cuda_deps.toml b/cuda_deps.toml new file mode 100644 index 000000000..2f3d27bcf --- /dev/null +++ b/cuda_deps.toml @@ -0,0 +1,135 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 + +base_runtime_deps = [ + "anyascii", + "pycountry", + "betterproto", + "flashtext", + "cached-property", + "category-encoders", + "dython", + "dateparser", + "faker", + "datasets>=4.8.4", + "huggingface-hub>=0.34.4,<1", + "json-repair", + "matplotlib", + "outlines>=1.0.0", + "prv-accountant", + "smart-open==7.0.5", + "python-stdnum", + "pandas>=2.1.3, <3", + "plotly", + "ratelimit", + "scikit-learn", + "range_regex>=0.1.0", + "tenacity==9.1.4", + "tiktoken>=0.7.0,<1.0", + "tldextract", + "tqdm>=4.67.1", + "urllib3>=2.6.1", + "wandb==0.26.1", +] + +torch_runtime_deps = [ + "accelerate", + "gliner", + "kernels>=0.12.1", + "opacus", + "peft", + "sentence-transformers", + "transformers==4.57.3", + "trl>=0.23.0", + "vllm==0.20.0; sys_platform == 'linux'", +] + +cuda_runtime_deps = [ + "bitsandbytes==0.49.1; sys_platform == 'linux'", + # flashinfer is a bit annoying in that not all the packages are in their indices, only the jit-cache + { name = "flashinfer-python", version = "0.6.8.post1", sys_platform = "linux", source_marker = "sys_platform=='linux'" }, + { name = "flashinfer-cubin", version = "0.6.8.post1", sys_platform = "linux", source_marker = "sys_platform=='linux'" }, + { name = "flashinfer-jit-cache", version = "0.6.8.post1", sys_platform = "linux", source_kind = "flashinfer", source_marker = "sys_platform=='linux'", variants = ["cu129", "cu130"] }, + { name = "nvidia-cublas", sys_platform = "linux" }, + "nvidia-ml-py; sys_platform == 'linux'", + "torch-c-dlpack-ext", + { name = "triton", specifier = ">=2.0.0", sys_platform = "linux", source_kind = "pytorch" }, +] + +torch_wheel_deps = [ + { name = "torch", version = "2.11.0", local = "{torch_local_version}", sys_platform = "linux", source_kind = "pytorch" }, + { name = "torchvision", version = "0.26.0", local = "{torch_local_version}", sys_platform = "linux", source_kind = "pytorch" }, + { name = "torchao", version = "0.17.0", local = "{torch_local_version}", sys_platform = "linux", arch = "x86_64", source_kind = "pytorch" }, +] + +managed_extras = ["cpu", "cu129", "cu130"] + +# CUDA Python packaging context: +# - Starting with CUDA Python 12.8, cuda-python is a metapackage that currently +# depends on cuda-bindings; the newer docs describe split components such as +# cuda.core, cuda.bindings, and cuda.pathfinder. +# - CUDA 13.x optional Toolkit components are installed through the cuda-toolkit +# PyPI metapackage, and current NVIDIA package names are generally unsuffixed +# (for example, nvidia-cuda-nvrtc and nvidia-nvjitlink). +# - Keep NVIDIA package routing per-library: nvidia-cublas is unsuffixed for both +# CUDA 12 and CUDA 13, while other CUDA 12 runtime packages may still need a +# -cu12 suffix and CUDA-specific PyTorch indexes. +# - CUDA 13.x bindings require Linux driver 580.65.06 or newer. +nvidia_cuda_libraries = [ + { name = "cublas", nvidia_package_suffix = "", index = "nvidia-pypi-public" }, + "cuda-cupti", + "cuda-nvrtc", + "cuda-nvprof", + "cuda-runtime", + "cuda-nvml", + "cudnn", + "cusparse", + "cusparselt", + "nccl", + "nvjitlink", + "nvshmem", + "nvtx", +] + +conflict_extras = ["cpu"] + +[cpu] +dependencies = [ + { name = "torch", version = "2.11.0", sys_platform = "darwin" }, + { name = "torch", version = "2.11.0", local = "cpu", sys_platform = "linux", index = "pytorch-cpu", source_marker = "sys_platform=='linux'" }, + { name = "torchvision", version = "0.26.0", sys_platform = "darwin" }, + { name = "torchvision", version = "0.26.0", local = "cpu", sys_platform = "linux", index = "pytorch-cpu", source_marker = "sys_platform=='linux'" }, + "torchao==0.17.0", +] + +[[indexes]] +name = "pytorch-cpu" +url = "https://download.pytorch.org/whl/cpu" +explicit = true + +[[indexes]] +name = "nv-shared-pypi-local" +url = "https://urm.nvidia.com/artifactory/api/pypi/nv-shared-pypi-local/simple" +explicit = true + +[[indexes]] +name = "nvidia-pypi-public" +url = "https://pypi.nvidia.com" +explicit = true + +[cuda_indexes.pytorch] +name = "pytorch-{extra}" +url = "https://download.pytorch.org/whl/{extra}" +explicit = true + +[cuda_indexes.flashinfer] +name = "flashinfer-{extra}" +url = "https://flashinfer.ai/whl/{extra}" +explicit = true + +[variants.cu129] +cuda_package_suffix = "cu12" + +[variants.cu130] +cuda_package_suffix = "cu13" +nvidia_package_suffix = "" diff --git a/docs/developer-guide/docker.md b/docs/developer-guide/docker.md index 053cee1bd..340358750 100644 --- a/docs/developer-guide/docker.md +++ b/docs/developer-guide/docker.md @@ -24,7 +24,7 @@ flowchart TD subgraph stages [Build Stages] tools["tools\nInstalls mise + all dev tools\n(.mise.toml is single source of truth)"] - deps["deps\nInstalls Python 3.11 via uv\nuv sync cu129+engine"] + deps["deps\nInstalls Python 3.11 via uv\nuv sync cu129"] runtime["runtime\nCopies venv + Python\nNon-root appuser\ntini + entrypoint.sh"] dev["dev\nExtends runtime\nCopies mise tree from tools\nRoot user"] end @@ -44,7 +44,7 @@ flowchart TD Uses the [mise Docker cookbook](https://mise.jdx.dev/mise-cookbook/docker.html) pattern with `MISE_DATA_DIR=/mise` for stable, copyable paths. - deps: copies the uv binary from `tools`, then installs Python and all - cu129+engine dependencies. Uses `--mount=type=cache` to avoid + cu129 dependencies. Uses `--mount=type=cache` to avoid re-downloading ~10 GB of PyTorch/CUDA wheels. - runtime: copies the venv and uv-managed Python into a fresh CUDA runtime base. Runs as non-root `appuser` (uid 1000). GPU access is declared via @@ -263,7 +263,7 @@ To reduce size: | Aspect | `Dockerfile.cuda` | `Dockerfile.test_ci` | |--------|-------------------|----------------------| | Base | `nvidia/cuda:12.9.1-runtime-ubuntu22.04` | `python:3.11-slim` | -| Extras | `cu129` + `engine` | `cpu` + `engine` | +| Extras | `cu129` | `cpu` | | GPU | Required | Not needed | | Stages | `tools` / `deps` / `runtime` / `dev` | `setup` / `install-deps` | | Use case | Training, generation, evaluation | CPU-only unit tests and CI checks | diff --git a/docs/tutorials/differential-privacy.ipynb b/docs/tutorials/differential-privacy.ipynb index 1e0213182..e227437ce 100644 --- a/docs/tutorials/differential-privacy.ipynb +++ b/docs/tutorials/differential-privacy.ipynb @@ -24,7 +24,7 @@ "source": [ "### ⚡ Install Safe Synthesizer\n", "\n", - "Run the cell below to install NeMo Safe Synthesizer (engine and CUDA 12.9) and kagglehub for the example dataset." + "Run the cell below to install NeMo Safe Synthesizer with CUDA 12.9 and kagglehub for the example dataset." ] }, { @@ -38,11 +38,13 @@ "# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.\n", "# SPDX-License-Identifier: Apache-2.0\n", "\n", + "CONSTRAINTS_URL=\"https://raw.githubusercontent.com/NVIDIA-NeMo/Safe-Synthesizer/main/constraints.txt\"\n", + "\n", "if command -v uv > /dev/null 2>&1; then\n", - " uv pip install \"nemo-safe-synthesizer[engine,cu129]\" --index https://flashinfer.ai/whl/cu129 --index https://download.pytorch.org/whl/cu129 --index https://wheels.vllm.ai/88d34c6409e9fb3c7b8ca0c04756f061d2099eb1/cu129 --index-strategy unsafe-best-match\n", + " uv pip install \"nemo-safe-synthesizer[cu129]\" -c \"$CONSTRAINTS_URL\" --index https://flashinfer.ai/whl/cu129 --index https://download.pytorch.org/whl/cu129 --index https://wheels.vllm.ai/88d34c6409e9fb3c7b8ca0c04756f061d2099eb1/cu129 --index-strategy unsafe-best-match\n", " uv pip install kagglehub\n", "else\n", - " pip install \"nemo-safe-synthesizer[engine,cu129]\" --extra-index-url https://flashinfer.ai/whl/cu129 --extra-index-url https://download.pytorch.org/whl/cu129 --extra-index-url https://wheels.vllm.ai/88d34c6409e9fb3c7b8ca0c04756f061d2099eb1/cu129\n", + " pip install \"nemo-safe-synthesizer[cu129]\" -c \"$CONSTRAINTS_URL\" --extra-index-url https://flashinfer.ai/whl/cu129 --extra-index-url https://download.pytorch.org/whl/cu129 --extra-index-url https://wheels.vllm.ai/88d34c6409e9fb3c7b8ca0c04756f061d2099eb1/cu129\n", " pip install kagglehub\n", "fi\n" ] diff --git a/docs/tutorials/safe-synthesizer-101.ipynb b/docs/tutorials/safe-synthesizer-101.ipynb index 97bb1fdd6..3c1b2f527 100644 --- a/docs/tutorials/safe-synthesizer-101.ipynb +++ b/docs/tutorials/safe-synthesizer-101.ipynb @@ -26,7 +26,7 @@ "source": [ "### ⚡ Install Safe Synthesizer\n", "\n", - "Run the cell below to install NeMo Safe Synthesizer (engine and CUDA 12.9) and the `datasets` library for the sample dataset." + "Run the cell below to install NeMo Safe Synthesizer with CUDA 12.9 and the `datasets` library for the sample dataset." ] }, { @@ -44,11 +44,13 @@ "# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.\n", "# SPDX-License-Identifier: Apache-2.0\n", "\n", + "CONSTRAINTS_URL=\"https://raw.githubusercontent.com/NVIDIA-NeMo/Safe-Synthesizer/main/constraints.txt\"\n", + "\n", "if command -v uv > /dev/null 2>&1; then\n", - " uv pip install \"nemo-safe-synthesizer[engine,cu129]\" --index https://flashinfer.ai/whl/cu129 --index https://download.pytorch.org/whl/cu129 --index https://wheels.vllm.ai/88d34c6409e9fb3c7b8ca0c04756f061d2099eb1/cu129 --index-strategy unsafe-best-match\n", + " uv pip install \"nemo-safe-synthesizer[cu129]\" -c \"$CONSTRAINTS_URL\" --index https://flashinfer.ai/whl/cu129 --index https://download.pytorch.org/whl/cu129 --index https://wheels.vllm.ai/88d34c6409e9fb3c7b8ca0c04756f061d2099eb1/cu129 --index-strategy unsafe-best-match\n", " uv pip install datasets\n", "else\n", - " pip install \"nemo-safe-synthesizer[engine,cu129]\" --extra-index-url https://flashinfer.ai/whl/cu129 --extra-index-url https://download.pytorch.org/whl/cu129 --extra-index-url https://wheels.vllm.ai/88d34c6409e9fb3c7b8ca0c04756f061d2099eb1/cu129\n", + " pip install \"nemo-safe-synthesizer[cu129]\" -c \"$CONSTRAINTS_URL\" --extra-index-url https://flashinfer.ai/whl/cu129 --extra-index-url https://download.pytorch.org/whl/cu129 --extra-index-url https://wheels.vllm.ai/88d34c6409e9fb3c7b8ca0c04756f061d2099eb1/cu129\n", " pip install datasets\n", "fi\n" ] diff --git a/docs/user-guide/getting-started.md b/docs/user-guide/getting-started.md index 4601e9cd8..a3e3e5211 100644 --- a/docs/user-guide/getting-started.md +++ b/docs/user-guide/getting-started.md @@ -26,37 +26,117 @@ does at each stage. ### Install the Package -The CUDA and CPU extras depend on packages (PyTorch, FlashInfer) hosted on -indexes outside PyPI. You must pass the extra index URLs shown below. +Choose exactly one runtime extra: `cpu`, `cu129`, or `cu130`. The runtime +extras include the CLI pipeline dependencies. Do not combine `cpu`, `cu129`, +and `cu130`; they conflict by design. + +The CUDA and Linux CPU extras depend on packages hosted on indexes outside +PyPI. You must pass the index URLs shown below for published-package installs. +From a source checkout, `uv sync` reads the configured indexes from +`pyproject.toml`. + +Published-package installs also use the exported +[`constraints.txt`](https://raw.githubusercontent.com/NVIDIA-NeMo/Safe-Synthesizer/main/constraints.txt) +security floor file. The same constraints file applies to all runtime extras; +CUDA-specific package selection comes from the chosen extra and index URLs. + +#### Option 1: Installer Script + +The installer script is the shortest published-package path. It wraps the same +extras, index URLs, and constraints file shown in the raw commands below. + +```bash +# CUDA 12.9 +curl -fsSL https://raw.githubusercontent.com/NVIDIA-NeMo/Safe-Synthesizer/main/install_nss.sh | CUDA=129 bash + +# CUDA 13.0 +curl -fsSL https://raw.githubusercontent.com/NVIDIA-NeMo/Safe-Synthesizer/main/install_nss.sh | CUDA=130 bash + +# CPU-only development install +curl -fsSL https://raw.githubusercontent.com/NVIDIA-NeMo/Safe-Synthesizer/main/install_nss.sh | CUDA=cpu bash +``` + +To inspect the script before running it: + +```bash +curl -fsSLO https://raw.githubusercontent.com/NVIDIA-NeMo/Safe-Synthesizer/main/install_nss.sh +CUDA=130 bash install_nss.sh +``` + +#### Option 2: Raw Commands + +Use the raw commands when you want to audit or customize every installer flag. + +!!! info "Why `--index-strategy unsafe-best-match`" + FlashInfer publishes wheels to flashinfer.ai, but `flashinfer-python` + can also appear on other package indexes at older versions. uv's default + `first-match` strategy stops at the first index that contains a package + name, so it can pick up the wrong version and fail to resolve. + `--index-strategy unsafe-best-match` tells uv to consider all indexes and + pick the best matching version. === "CUDA 12.9 (Linux with NVIDIA GPU)" + Use this for CUDA 12.9 environments. + === "pip" ```bash - pip install "nemo-safe-synthesizer[cu129,engine]" \ + pip install "nemo-safe-synthesizer[cu129]" \ + -c https://raw.githubusercontent.com/NVIDIA-NeMo/Safe-Synthesizer/main/constraints.txt \ --extra-index-url https://download.pytorch.org/whl/cu129 \ --extra-index-url https://flashinfer.ai/whl/cu129 \ - --extra-index-url https://wheels.vllm.ai/88d34c6409e9fb3c7b8ca0c04756f061d2099eb1/cu129 + --extra-index-url https://pypi.nvidia.com ``` === "uv" ```bash - uv pip install "nemo-safe-synthesizer[cu129,engine]" \ + uv pip install "nemo-safe-synthesizer[cu129]" \ + -c https://raw.githubusercontent.com/NVIDIA-NeMo/Safe-Synthesizer/main/constraints.txt \ --index https://flashinfer.ai/whl/cu129 \ --index https://download.pytorch.org/whl/cu129 \ - --index https://wheels.vllm.ai/88d34c6409e9fb3c7b8ca0c04756f061d2099eb1/cu129 \ + --index https://pypi.nvidia.com \ --index-strategy unsafe-best-match ``` - !!! info "Why `--index-strategy unsafe-best-match`" - FlashInfer publishes wheels to flashinfer.ai, but `flashinfer-python` - also appears on the PyTorch index at older versions. uv's default - `first-match` strategy stops at the first index that contains a - package name, so it picks up the wrong version from the PyTorch - index and fails to resolve. `--index-strategy unsafe-best-match` - tells uv to consider all indexes and pick the best matching version. + === "source checkout" + + ```bash + uv sync --frozen --extra cu129 + ``` + +=== "CUDA 13.0 (Linux with NVIDIA GPU)" + + Use this for CUDA 13.0 environments. CUDA 13.x bindings require Linux + NVIDIA driver 580.65.06 or newer. + + === "pip" + + ```bash + pip install "nemo-safe-synthesizer[cu130]" \ + -c https://raw.githubusercontent.com/NVIDIA-NeMo/Safe-Synthesizer/main/constraints.txt \ + --extra-index-url https://download.pytorch.org/whl/cu130 \ + --extra-index-url https://flashinfer.ai/whl/cu130 \ + --extra-index-url https://pypi.nvidia.com + ``` + + === "uv" + + ```bash + uv pip install "nemo-safe-synthesizer[cu130]" \ + -c https://raw.githubusercontent.com/NVIDIA-NeMo/Safe-Synthesizer/main/constraints.txt \ + --index https://flashinfer.ai/whl/cu130 \ + --index https://download.pytorch.org/whl/cu130 \ + --index https://pypi.nvidia.com \ + --index-strategy unsafe-best-match + ``` + + === "source checkout" + + ```bash + uv sync --frozen --extra cu130 + ``` === "CPU (macOS / Linux without GPU)" @@ -68,26 +148,30 @@ indexes outside PyPI. You must pass the extra index URLs shown below. === "pip (macOS)" ```bash - pip install "nemo-safe-synthesizer[cpu,engine]" + pip install "nemo-safe-synthesizer[cpu]" \ + -c https://raw.githubusercontent.com/NVIDIA-NeMo/Safe-Synthesizer/main/constraints.txt ``` === "pip (Linux)" ```bash - pip install "nemo-safe-synthesizer[cpu,engine]" \ + pip install "nemo-safe-synthesizer[cpu]" \ + -c https://raw.githubusercontent.com/NVIDIA-NeMo/Safe-Synthesizer/main/constraints.txt \ --extra-index-url https://download.pytorch.org/whl/cpu ``` === "uv (macOS)" ```bash - uv pip install "nemo-safe-synthesizer[cpu,engine]" + uv pip install "nemo-safe-synthesizer[cpu]" \ + -c https://raw.githubusercontent.com/NVIDIA-NeMo/Safe-Synthesizer/main/constraints.txt ``` === "uv (Linux)" ```bash - uv pip install "nemo-safe-synthesizer[cpu,engine]" \ + uv pip install "nemo-safe-synthesizer[cpu]" \ + -c https://raw.githubusercontent.com/NVIDIA-NeMo/Safe-Synthesizer/main/constraints.txt \ --index https://download.pytorch.org/whl/cpu ``` @@ -118,13 +202,15 @@ indexes outside PyPI. You must pass the extra index URLs shown below. === "pip" ```bash - pip install "nemo-safe-synthesizer" + pip install "nemo-safe-synthesizer" \ + -c https://raw.githubusercontent.com/NVIDIA-NeMo/Safe-Synthesizer/main/constraints.txt ``` === "uv" ```bash - uv pip install "nemo-safe-synthesizer" + uv pip install "nemo-safe-synthesizer" \ + -c https://raw.githubusercontent.com/NVIDIA-NeMo/Safe-Synthesizer/main/constraints.txt ``` !!! note "Limited use" diff --git a/install_nss.sh b/install_nss.sh new file mode 100755 index 000000000..fd5f7bd1e --- /dev/null +++ b/install_nss.sh @@ -0,0 +1,191 @@ +#!/usr/bin/env bash +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 + +set -euo pipefail + +readonly PACKAGE_NAME="${PACKAGE_NAME:-nemo-safe-synthesizer}" +readonly PACKAGE_VERSION="${PACKAGE_VERSION:-}" +readonly CUDA="${CUDA:-129}" +readonly INSTALLER="${INSTALLER:-uv}" +readonly DRY_RUN="${DRY_RUN:-0}" +readonly CONSTRAINTS_URL="${CONSTRAINTS_URL:-https://raw.githubusercontent.com/NVIDIA-NeMo/Safe-Synthesizer/main/constraints.txt}" +readonly NVIDIA_DRIVER_MIN_CUDA_13="580.65.06" + +usage() { + cat <<'EOF' +Install NeMo Safe Synthesizer with the right runtime indexes. + +Usage: + CUDA=129 bash install_nss.sh + CUDA=130 bash install_nss.sh + CUDA=cpu bash install_nss.sh + +Environment: + CUDA=129|130|cpu|help Runtime extra to install. Default: 129. + INSTALLER=uv|pip Installer command. Default: uv. + PACKAGE_VERSION= Optional version specifier, for example ==0.1.0. + CONSTRAINTS_URL= Constraints file URL. Default: repo main constraints.txt. + DRY_RUN=1 Print the command without running it. +EOF +} + +die() { + echo "ERROR: $*" >&2 + exit 1 +} + +warn() { + echo "WARNING: $*" >&2 +} + +require_command() { + local command_name="$1" + command -v "$command_name" >/dev/null 2>&1 || die "'${command_name}' is required but was not found on PATH" +} + +version_at_least() { + local current="$1" + local minimum="$2" + local first + first="$(printf '%s\n%s\n' "$minimum" "$current" | sort -V | head -n 1)" + [[ "$first" == "$minimum" ]] +} + +driver_version() { + { nvidia-smi --query-gpu=driver_version --format=csv,noheader 2>/dev/null || true; } | head -n 1 | tr -d '[:space:]' +} + +check_cuda_13_driver() { + if ! command -v nvidia-smi >/dev/null 2>&1; then + warn "nvidia-smi not found; CUDA 13.x requires Linux NVIDIA driver ${NVIDIA_DRIVER_MIN_CUDA_13}+" + return + fi + + local current + current="$(driver_version)" + if [[ -z "$current" ]]; then + warn "could not read NVIDIA driver version; CUDA 13.x requires ${NVIDIA_DRIVER_MIN_CUDA_13}+" + return + fi + + if ! version_at_least "$current" "$NVIDIA_DRIVER_MIN_CUDA_13"; then + die "CUDA 13.x requires Linux NVIDIA driver ${NVIDIA_DRIVER_MIN_CUDA_13}+; found ${current}" + fi +} + +runtime_extra() { + case "$CUDA" in + 129 | cu129 | cuda12 | cuda12.9) printf 'cu129' ;; + 130 | cu130 | cuda13 | cuda13.0) printf 'cu130' ;; + cpu | CPU) printf 'cpu' ;; + -h | --help | help) + usage + exit 0 + ;; + *) die "unsupported CUDA='${CUDA}'. Use 129, 130, or cpu." ;; + esac +} + +runtime_indexes() { + local extra="$1" + case "$extra" in + cu129) + INDEXES=( + "https://flashinfer.ai/whl/cu129" + "https://download.pytorch.org/whl/cu129" + "https://pypi.nvidia.com" + ) + ;; + cu130) + INDEXES=( + "https://flashinfer.ai/whl/cu130" + "https://download.pytorch.org/whl/cu130" + "https://pypi.nvidia.com" + ) + ;; + cpu) + INDEXES=() + if [[ "$(uname -s)" == "Linux" ]]; then + INDEXES=("https://download.pytorch.org/whl/cpu") + fi + ;; + esac +} + +package_spec() { + local extra="$1" + printf '%s[%s]%s' "$PACKAGE_NAME" "$extra" "$PACKAGE_VERSION" +} + +append_common_args() { + INSTALL_CMD+=("-c" "$CONSTRAINTS_URL") +} + +append_index_args() { + local flag="$1" + local index + for index in "${INDEXES[@]}"; do + INSTALL_CMD+=("$flag" "$index") + done +} + +build_install_command() { + local extra="$1" + runtime_indexes "$extra" + case "$INSTALLER" in + uv) + require_command uv + INSTALL_CMD=(uv pip install "$(package_spec "$extra")") + append_common_args + append_index_args "--index" + if [[ "$extra" != "cpu" ]]; then + INSTALL_CMD+=("--index-strategy" "unsafe-best-match") + fi + ;; + pip) + require_command pip + if [[ "$extra" != "cpu" ]]; then + warn "pip prefers PyPI over extra indexes; use INSTALLER=uv for CUDA installs when possible." + fi + INSTALL_CMD=(pip install "$(package_spec "$extra")") + append_common_args + append_index_args "--extra-index-url" + ;; + *) die "unsupported INSTALLER='${INSTALLER}'. Use uv or pip." ;; + esac +} + +run_install() { + printf 'Installing with:' + printf ' %q' "${INSTALL_CMD[@]}" + printf '\n' + + if [[ "$DRY_RUN" == "1" ]]; then + return + fi + "${INSTALL_CMD[@]}" +} + +main() { + if [[ "${1:-}" == "-h" || "${1:-}" == "--help" || "${1:-}" == "help" ]]; then + usage + exit 0 + fi + if [[ "$CUDA" == "-h" || "$CUDA" == "--help" || "$CUDA" == "help" ]]; then + usage + exit 0 + fi + + local extra + extra="$(runtime_extra)" + if [[ "$extra" == "cu130" && "$DRY_RUN" != "1" ]]; then + check_cuda_13_driver + fi + build_install_command "$extra" + run_install +} + +INDEXES=() +INSTALL_CMD=() +main "$@" diff --git a/mise.lock b/mise.lock index 5db6e15ad..244a49d27 100644 --- a/mise.lock +++ b/mise.lock @@ -173,6 +173,7 @@ version = "4.44.1" backend = "aqua:mikefarah/yq" [tools.yq."platforms.linux-arm64"] +checksum = "blake3:0c0d030630fb4cd88ebe2675aabcdc7c21c721e534d5cbfa94521d36d0ab592f" url = "https://github.com/mikefarah/yq/releases/download/v4.44.1/yq_linux_arm64" [tools.yq."platforms.linux-x64"] diff --git a/pyproject.toml b/pyproject.toml index 10e0a49d2..8f4f97075 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -78,7 +78,22 @@ test = [ [project.optional-dependencies] -engine = [ + + +# Runtime extras are generated from cuda_deps.toml. +# +# The source file separates base runtime deps, shared Torch-adjacent deps, +# CUDA-only deps, CUDA-local Torch wheels, and CPU Torch wheels. + + + +# at some point, do per-subpackage dependencies +# >>> BEGIN GENERATED CUDA RUNTIME EXTRAS - DO NOT EDIT <<< +# Source of truth: cuda_deps.toml. +# Regenerate with: uv run --script tools/gen_cuda_deps.py cuda_deps.toml --pyproject pyproject.toml +# Manual edits inside this block will be overwritten. +# Generated extras in this block: cpu, cu129, cu130. +cpu = [ "anyascii", "pycountry", "betterproto", @@ -107,63 +122,122 @@ engine = [ "tqdm>=4.67.1", "urllib3>=2.6.1", "wandb==0.26.1", + "accelerate", + "gliner", + "kernels>=0.12.1", + "opacus", + "peft", + "sentence-transformers", + "transformers==4.57.3", + "trl>=0.23.0", + "vllm==0.20.0; sys_platform == 'linux'", + "torch==2.11.0; sys_platform == 'darwin'", + "torch==2.11.0+cpu; sys_platform == 'linux'", + "torchvision==0.26.0; sys_platform == 'darwin'", + "torchvision==0.26.0+cpu; sys_platform == 'linux'", + "torchao==0.17.0", ] - - -# the following are deps that have Torch as a dep. We keep them separated out from the engine deps -# -# it's a little annoying to have to split them up like this with redundant bits. -# it allows us to have a cpu and a cuda version of torch+deps -# and allow explicit installation of the cpu depset on linux. - -cpu = [ - "accelerate", - "bitsandbytes==0.49.1", - "flashinfer-python==0.6.8.post1; sys_platform=='linux'", - "flashinfer-cubin==0.6.8.post1; sys_platform=='linux'", - "gliner", - "kernels>=0.12.1", - "peft", - "opacus", - "sentence-transformers", - "torch==2.11.0; sys_platform == 'darwin'", - "torch==2.11.0+cpu; sys_platform == 'linux'", - "torchaudio==2.11.0; sys_platform == 'darwin'", - "torchaudio==2.11.0+cpu; sys_platform == 'linux'", - "torchvision==0.26.0; sys_platform == 'darwin'", - "torchvision==0.26.0+cpu; sys_platform == 'linux'", - "torchao==0.17.0", - "transformers==4.57.3", - "triton>=2.0.0; sys_platform=='linux'", - "trl>=0.23.0", - "vllm==0.20.0; sys_platform=='linux'", -] - cu129 = [ - "accelerate", - "bitsandbytes==0.49.1", - "flashinfer-python==0.6.8.post1; sys_platform == 'linux'", - "flashinfer-cubin==0.6.8.post1; sys_platform == 'linux'", - "flashinfer-jit-cache==0.6.8.post1+cu129; sys_platform == 'linux'", - "gliner", - "kernels>=0.12.1", - "nvidia-cublas-cu12; sys_platform == 'linux'", - "nvidia-ml-py; sys_platform == 'linux'", - "opacus", - "peft", - "sentence-transformers", - "torch==2.11.0+cu129; sys_platform == 'linux'", - "torch-c-dlpack-ext", - "torchaudio==2.11.0+cu129; sys_platform == 'linux'", - "torchvision==0.26.0+cu129; sys_platform == 'linux'", - "torchao==0.17.0+cu129; sys_platform == 'linux' and platform_machine == 'x86_64'", - "transformers==4.57.3", - "triton>=2.0.0; sys_platform == 'linux'", - "trl>=0.23.0", - "vllm==0.20.0+cu129; sys_platform == 'linux'", + "anyascii", + "pycountry", + "betterproto", + "flashtext", + "cached-property", + "category-encoders", + "dython", + "dateparser", + "faker", + "datasets>=4.8.4", + "huggingface-hub>=0.34.4,<1", + "json-repair", + "matplotlib", + "outlines>=1.0.0", + "prv-accountant", + "smart-open==7.0.5", + "python-stdnum", + "pandas>=2.1.3, <3", + "plotly", + "ratelimit", + "scikit-learn", + "range_regex>=0.1.0", + "tenacity==9.1.4", + "tiktoken>=0.7.0,<1.0", + "tldextract", + "tqdm>=4.67.1", + "urllib3>=2.6.1", + "wandb==0.26.1", + "accelerate", + "gliner", + "kernels>=0.12.1", + "opacus", + "peft", + "sentence-transformers", + "transformers==4.57.3", + "trl>=0.23.0", + "vllm==0.20.0; sys_platform == 'linux'", + "bitsandbytes==0.49.1; sys_platform == 'linux'", + "flashinfer-python==0.6.8.post1; sys_platform == 'linux'", + "flashinfer-cubin==0.6.8.post1; sys_platform == 'linux'", + "flashinfer-jit-cache==0.6.8.post1; sys_platform == 'linux'", + "nvidia-cublas; sys_platform == 'linux'", + "nvidia-ml-py; sys_platform == 'linux'", + "torch-c-dlpack-ext", + "triton>=2.0.0; sys_platform == 'linux'", + "torch==2.11.0+cu129; sys_platform == 'linux'", + "torchvision==0.26.0+cu129; sys_platform == 'linux'", + "torchao==0.17.0+cu129; sys_platform == 'linux' and platform_machine == 'x86_64'", ] - -# at some point, do per-subpackage dependencies +cu130 = [ + "anyascii", + "pycountry", + "betterproto", + "flashtext", + "cached-property", + "category-encoders", + "dython", + "dateparser", + "faker", + "datasets>=4.8.4", + "huggingface-hub>=0.34.4,<1", + "json-repair", + "matplotlib", + "outlines>=1.0.0", + "prv-accountant", + "smart-open==7.0.5", + "python-stdnum", + "pandas>=2.1.3, <3", + "plotly", + "ratelimit", + "scikit-learn", + "range_regex>=0.1.0", + "tenacity==9.1.4", + "tiktoken>=0.7.0,<1.0", + "tldextract", + "tqdm>=4.67.1", + "urllib3>=2.6.1", + "wandb==0.26.1", + "accelerate", + "gliner", + "kernels>=0.12.1", + "opacus", + "peft", + "sentence-transformers", + "transformers==4.57.3", + "trl>=0.23.0", + "vllm==0.20.0; sys_platform == 'linux'", + "bitsandbytes==0.49.1; sys_platform == 'linux'", + "flashinfer-python==0.6.8.post1; sys_platform == 'linux'", + "flashinfer-cubin==0.6.8.post1; sys_platform == 'linux'", + "flashinfer-jit-cache==0.6.8.post1; sys_platform == 'linux'", + "nvidia-cublas; sys_platform == 'linux'", + "nvidia-ml-py; sys_platform == 'linux'", + "torch-c-dlpack-ext", + "triton>=2.0.0; sys_platform == 'linux'", + "torch==2.11.0+cu130; sys_platform == 'linux'", + "torchvision==0.26.0+cu130; sys_platform == 'linux'", + "torchao==0.17.0+cu130; sys_platform == 'linux' and platform_machine == 'x86_64'", +] +# <<< END GENERATED CUDA RUNTIME EXTRAS - DO NOT EDIT >>> [tool.uv] # Version pinned in .mise.toml but keep here as a fallback constraint @@ -175,18 +249,21 @@ cache-keys = [ { file = "pyproject.toml" }, { git = { commit = true, tags = true } }, { file = "uv.lock" } ] +# >>> BEGIN GENERATED CUDA UV CONFLICTS - DO NOT EDIT <<< +# Source of truth: cuda_deps.toml. +# Regenerate with: uv run --script tools/gen_cuda_deps.py cuda_deps.toml --pyproject pyproject.toml +# Manual edits inside this block will be overwritten. +# Generated uv section: tool.uv.conflicts. conflicts = [ - [ - { extra = "cpu" }, - { extra = "cu129" }, - ], + [ + {extra = "cpu"}, + {extra = "cu129"}, + {extra = "cu130"}, +], ] +# <<< END GENERATED CUDA UV CONFLICTS - DO NOT EDIT >>> -override-dependencies = [ - "flashinfer-python==0.6.8.post1; sys_platform != 'darwin'", - "flashinfer-cubin==0.6.8.post1; sys_platform != 'darwin'", -] environments = [ "sys_platform == 'linux' and platform_machine == 'x86_64'", @@ -219,114 +296,146 @@ constraint-dependencies = [ +# >>> BEGIN GENERATED CUDA UV SOURCES AND INDEXES - DO NOT EDIT <<< +# Source of truth: cuda_deps.toml. +# Regenerate with: uv run --script tools/gen_cuda_deps.py cuda_deps.toml --pyproject pyproject.toml +# Manual edits inside this block will be overwritten. +# Generated uv sections: tool.uv.sources and tool.uv.index. [tool.uv.sources] - # here we specifiy the dep's source from which UV should attempt to resolve - triton = { index = "pytorch-cu129", extra = "cu129" } - vllm = [ - { index = "vllm-v0-20-0-cu129", marker = "sys_platform == 'linux'", extra = "cu129" }, - ] -# for torch - we have a "cpu" dep set and "cu129" dep set, specified in the optional dependencies above - torch = [ - { index = "pytorch-cpu", extra="cpu", marker = "sys_platform=='linux'"}, - { index = "pytorch-cu129", extra="cu129"}, - ] - torchao = [ - { index = "pytorch-cu129", extra="cu129"}, - ] - torchvision = [ - { index = "pytorch-cpu", extra="cpu" }, - { index = "pytorch-cu129", extra="cu129"}, - ] - torchaudio = [ - { index = "pytorch-cpu", extra="cpu" }, - { index = "pytorch-cu129", extra="cu129"}, - ] - flashinfer-python = [ - { index = "flashinfer-jit-cache", marker = "sys_platform=='linux'", extra="cu129"}, - ] - flashinfer-cubin = [ - { index = "flashinfer-jit-cache", marker = "sys_platform=='linux'", extra="cu129"}, - ] - flashinfer-jit-cache = [ - { index = "flashinfer-jit-cache", marker = "sys_platform=='linux'", extra="cu129"}, - ] - nvidia-cublas-cu12 = [ - { index = "pytorch-cu129" }, - ] - nvidia-cuda-cupti-cu12 = [ - { index = "pytorch-cu129" }, - ] - nvidia-cuda-nvrtc-cu12 = [ - { index = "pytorch-cu129" }, - ] - nvidia-cuda-nvprof-cu12 = [ - { index = "pytorch-cu129" }, - ] - - nvidia-cuda-runtime-cu12 = [ - { index = "pytorch-cu129" }, - ] - - nvidia-cuda-nvml-cu12 = [ - { index = "pytorch-cu129" }, - ] - - - nvidia-cudnn-cu12 = [ - { index = "pytorch-cu129" }, - ] - nvidia-cusparse-cu12 = [ - { index = "pytorch-cu129" }, - ] - nvidia-cusparselt-cu12 = [ - { index = "pytorch-cu129" }, - ] - nvidia-nccl-cu12 = [ - { index = "pytorch-cu129" }, - ] - nvidia-nvjitlink-cu12 = [ - { index = "pytorch-cu129" }, - ] - nvidia-nvshmem-cu12 = [ - { index = "pytorch-cu129" }, - ] - nvidia-nvtx-cu12 = [ - { index = "pytorch-cu129" }, - ] - +torch = [ + {index = "pytorch-cpu", extra = "cpu", marker = "sys_platform=='linux'"}, + {index = "pytorch-cu129", extra = "cu129"}, + {index = "pytorch-cu130", extra = "cu130"}, +] +torchvision = [ + {index = "pytorch-cpu", extra = "cpu", marker = "sys_platform=='linux'"}, + {index = "pytorch-cu129", extra = "cu129"}, + {index = "pytorch-cu130", extra = "cu130"}, +] +flashinfer-jit-cache = [ + {index = "flashinfer-cu129", extra = "cu129", marker = "sys_platform=='linux'"}, + {index = "flashinfer-cu130", extra = "cu130", marker = "sys_platform=='linux'"}, +] +triton = [ + {index = "pytorch-cu129", extra = "cu129"}, + {index = "pytorch-cu130", extra = "cu130"}, +] +torchao = [ + {index = "pytorch-cu129", extra = "cu129"}, + {index = "pytorch-cu130", extra = "cu130"}, +] +nvidia-cublas = [ + {index = "nvidia-pypi-public", extra = "cu129"}, + {index = "nvidia-pypi-public", extra = "cu130"}, +] +nvidia-cuda-cupti-cu12 = [ + {index = "pytorch-cu129"}, +] +nvidia-cuda-nvrtc-cu12 = [ + {index = "pytorch-cu129"}, +] +nvidia-cuda-nvprof-cu12 = [ + {index = "pytorch-cu129"}, +] +nvidia-cuda-runtime-cu12 = [ + {index = "pytorch-cu129"}, +] +nvidia-cuda-nvml-cu12 = [ + {index = "pytorch-cu129"}, +] +nvidia-cudnn-cu12 = [ + {index = "pytorch-cu129"}, +] +nvidia-cusparse-cu12 = [ + {index = "pytorch-cu129"}, +] +nvidia-cusparselt-cu12 = [ + {index = "pytorch-cu129"}, +] +nvidia-nccl-cu12 = [ + {index = "pytorch-cu129"}, +] +nvidia-nvjitlink-cu12 = [ + {index = "pytorch-cu129"}, +] +nvidia-nvshmem-cu12 = [ + {index = "pytorch-cu129"}, +] +nvidia-nvtx-cu12 = [ + {index = "pytorch-cu129"}, +] +nvidia-cuda-cupti = [ + {index = "pytorch-cu130"}, +] +nvidia-cuda-nvrtc = [ + {index = "pytorch-cu130"}, +] +nvidia-cuda-nvprof = [ + {index = "pytorch-cu130"}, +] +nvidia-cuda-runtime = [ + {index = "pytorch-cu130"}, +] +nvidia-cuda-nvml = [ + {index = "pytorch-cu130"}, +] +nvidia-cudnn = [ + {index = "pytorch-cu130"}, +] +nvidia-cusparse = [ + {index = "pytorch-cu130"}, +] +nvidia-cusparselt = [ + {index = "pytorch-cu130"}, +] +nvidia-nccl = [ + {index = "pytorch-cu130"}, +] +nvidia-nvjitlink = [ + {index = "pytorch-cu130"}, +] +nvidia-nvshmem = [ + {index = "pytorch-cu130"}, +] +nvidia-nvtx = [ + {index = "pytorch-cu130"}, +] [[tool.uv.index]] name = "pytorch-cu129" url = "https://download.pytorch.org/whl/cu129" explicit = true -# required for linux cpu - it's got a `+cpu` on the version [[tool.uv.index]] -name = "pytorch-cpu" -url = "https://download.pytorch.org/whl/cpu" +name = "flashinfer-cu129" +url = "https://flashinfer.ai/whl/cu129" explicit = true [[tool.uv.index]] -name = "nv-shared-pypi-local" -url = "https://urm.nvidia.com/artifactory/api/pypi/nv-shared-pypi-local/simple" +name = "pytorch-cu130" +url = "https://download.pytorch.org/whl/cu130" explicit = true [[tool.uv.index]] -name = "flashinfer-jit-cache" -url = "https://flashinfer.ai/whl/cu129" +name = "flashinfer-cu130" +url = "https://flashinfer.ai/whl/cu130" explicit = true [[tool.uv.index]] -name = "vllm-v0-20-0-cu129" -url = "https://wheels.vllm.ai/88d34c6409e9fb3c7b8ca0c04756f061d2099eb1/cu129" +name = "pytorch-cpu" +url = "https://download.pytorch.org/whl/cpu" +explicit = true + +[[tool.uv.index]] +name = "nv-shared-pypi-local" +url = "https://urm.nvidia.com/artifactory/api/pypi/nv-shared-pypi-local/simple" explicit = true [[tool.uv.index]] name = "nvidia-pypi-public" url = "https://pypi.nvidia.com" explicit = true - - +# <<< END GENERATED CUDA UV SOURCES AND INDEXES - DO NOT EDIT >>> [build-system] requires = ["hatchling", "uv-dynamic-versioning"] build-backend = "hatchling.build" diff --git a/script/slurm/slurm_nss_matrix.sh b/script/slurm/slurm_nss_matrix.sh index b2f13d43b..525090105 100644 --- a/script/slurm/slurm_nss_matrix.sh +++ b/script/slurm/slurm_nss_matrix.sh @@ -112,16 +112,15 @@ if [[ -n "${NSS_VERSION:-}" ]]; then PYPI_VENV="${LUSTRE_DIR}/.venv_nss_${NSS_VERSION}" uv venv --python 3.11 "${PYPI_VENV}" source "${PYPI_VENV}/bin/activate" - uv pip install "nemo-safe-synthesizer[cu129,engine]==${NSS_VERSION}" \ + uv pip install "nemo-safe-synthesizer[cu129]==${NSS_VERSION}" \ --index https://flashinfer.ai/whl/cu129 \ --index https://download.pytorch.org/whl/cu129 \ - --index https://wheels.vllm.ai/88d34c6409e9fb3c7b8ca0c04756f061d2099eb1/cu129 \ --index-strategy unsafe-best-match NSS_RUN_CMD="${PYPI_VENV}/bin/safe-synthesizer" echo "[NSS SLURM] Using PyPI install: nemo-safe-synthesizer==${NSS_VERSION}" else source "${NSS_DIR}/.venv/bin/activate" - uv sync --frozen --extra cu129 --extra engine --group dev + uv sync --frozen --extra cu129 --group dev NSS_RUN_CMD="uv run safe-synthesizer" fi echo "[NSS SLURM] nemo-safe-synthesizer version: $(python -c 'from nemo_safe_synthesizer.package_info import __version__; print(__version__)')" diff --git a/src/nemo_safe_synthesizer/preflight/checks/environment.py b/src/nemo_safe_synthesizer/preflight/checks/environment.py index 46c437077..d8bb15faf 100644 --- a/src/nemo_safe_synthesizer/preflight/checks/environment.py +++ b/src/nemo_safe_synthesizer/preflight/checks/environment.py @@ -284,17 +284,14 @@ def check(self, ctx: MetadataView, collector: IssueCollector) -> None: model_name = getattr(autoconfig, "_name_or_path", None) or getattr(autoconfig, "model_type", "model") if method == "exact": logger.info( - "VRAM estimate: counted %.2fB parameters for %s via meta-tensor instantiation", - n_params / 1e9, - model_name, + f"VRAM estimate: counted {n_params / 1e9:.2f}B parameters for " + f"{model_name} via meta-tensor instantiation" ) else: logger.info( - "VRAM estimate: meta-tensor instantiation unavailable for %s; falling back to shape " - "heuristic (~%.2fB parameters). This estimate is approximate; actual VRAM usage may " - "differ by 20-30%% or more for non-standard architectures (e.g. Nemotron, Mamba hybrids).", - model_name, - n_params / 1e9, + f"VRAM estimate: meta-tensor instantiation unavailable for {model_name}; falling back to shape " + f"heuristic (~{n_params / 1e9:.2f}B parameters). This estimate is approximate; actual VRAM usage " + "may differ by 20-30% or more for non-standard architectures (e.g. Nemotron, Mamba hybrids)." ) bytes_per_param = bytes_per_base_weight(config.training) diff --git a/tests/TESTING.md b/tests/TESTING.md index f83e2250f..d7a2706a3 100644 --- a/tests/TESTING.md +++ b/tests/TESTING.md @@ -65,7 +65,7 @@ make test-nss-mistral_dp-dow_jones_index-ci Details: - Driven by `tests/e2e/test_dataset_config.py` with YAML configs under `tests/e2e/required_configs/` -- Each target bootstraps `cu129`, runs single-process (`-n 0`) with coverage +- Each target bootstraps a CUDA runtime extra such as `cu129` or `cu130`, then runs single-process (`-n 0`) with coverage - These are not part of `make test-e2e` -- they are standalone CI targets ## Pytest Markers @@ -138,7 +138,7 @@ Tokenizers are function-scoped (expensive to load). Most fixtures are function-s `ParsedResponse`: `valid_records=[...]`, `invalid_records=[...]`, `errors=[...]`, `prompt_number=int`. Use `fixture_mock_processor` or `fixture_mock_processor_without_valid_records`. -Optional dependencies: use `pytest.importorskip` to gate on packages that require specific extras. E2e tests use this for `sentence_transformers` and `vllm` (require `cu129` extra). +Optional dependencies: use `pytest.importorskip` to gate on packages that require specific extras. E2e tests use this for `sentence_transformers` and `vllm` (install a CUDA runtime extra such as `cu129` or `cu130`). Mock Workdir via `mock_workdir(tmp_path)` in `cli/conftest.py`. diff --git a/tests/e2e/test_dataset_config.py b/tests/e2e/test_dataset_config.py index 36ecbdba8..b39124afa 100644 --- a/tests/e2e/test_dataset_config.py +++ b/tests/e2e/test_dataset_config.py @@ -14,13 +14,14 @@ logger = get_logger(__name__) llm = pytest.importorskip( - "vllm", reason="vllm with GPU support is required for these tests (install with: uv sync --extra cu129)" + "vllm", + reason="vllm with GPU support is required for these tests (install a CUDA runtime extra such as: uv sync --extra cu129 or uv sync --extra cu130)", ) try: from vllm import LLM # noqa: F401 except ImportError: - skip_reason = "vllm with GPU support is required for these tests (install with: uv sync --extra cu129)" + skip_reason = "vllm with GPU support is required for these tests (install a CUDA runtime extra such as: uv sync --extra cu129 or uv sync --extra cu130)" pytest.skip(skip_reason, allow_module_level=True) # ty: ignore[invalid-argument-type,too-many-positional-arguments] diff --git a/tests/e2e/test_safe_synthesizer.py b/tests/e2e/test_safe_synthesizer.py index 04dfced2a..b10a9a5ed 100644 --- a/tests/e2e/test_safe_synthesizer.py +++ b/tests/e2e/test_safe_synthesizer.py @@ -17,18 +17,19 @@ # Skip all tests in this module if sentence_transformers is not available pytest.importorskip( "sentence_transformers", - reason="sentence_transformers and a GPU are required for these tests (install with: uv sync --extra cu129)", + reason="sentence_transformers and a GPU are required for these tests (install a CUDA runtime extra such as: uv sync --extra cu129 or uv sync --extra cu130)", ) # Skip all tests in this module if vllm is not properly available. vllm = pytest.importorskip( - "vllm", reason="vllm with GPU support is required for these tests (install with: uv sync --extra cu129)" + "vllm", + reason="vllm with GPU support is required for these tests (install a CUDA runtime extra such as: uv sync --extra cu129 or uv sync --extra cu130)", ) try: from vllm import LLM # noqa: F401 except ImportError: - skip_reason = "vllm with GPU support is required for these tests (install with: uv sync --extra cu129)" + skip_reason = "vllm with GPU support is required for these tests (install a CUDA runtime extra such as: uv sync --extra cu129 or uv sync --extra cu130)" pytest.skip(skip_reason, allow_module_level=True) # ty: ignore[invalid-argument-type,too-many-positional-arguments] diff --git a/tests/test_gen_cuda_deps.py b/tests/test_gen_cuda_deps.py new file mode 100644 index 000000000..4d1974bf2 --- /dev/null +++ b/tests/test_gen_cuda_deps.py @@ -0,0 +1,358 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 + +import importlib.util +import sys +import tomllib +from pathlib import Path +from types import ModuleType + +import pytest +from click.testing import CliRunner +from packaging.requirements import InvalidRequirement + +pytestmark = pytest.mark.unit + + +def _load_generator() -> ModuleType: + path = Path(__file__).parents[1] / "tools" / "gen_cuda_deps.py" + spec = importlib.util.spec_from_file_location("gen_cuda_deps", path) + assert spec is not None + assert spec.loader is not None + module = importlib.util.module_from_spec(spec) + sys.modules[spec.name] = module + spec.loader.exec_module(module) + return module + + +GENERATOR = _load_generator() + + +CUDA_DEPS = """ +base_runtime_deps = [ + { name = "faker" }, +] +torch_runtime_deps = [ + { name = "accelerate" }, + "vllm==0.20.0; sys_platform == 'linux'", +] +cuda_runtime_deps = [ + { name = "flashinfer-python", version = "0.6.6", sys_platform = "linux", source_kind = "flashinfer", source_marker = "sys_platform=='linux'" }, + { name = "flashinfer-jit-cache", version = "0.6.6", local = "{torch_local_version}", sys_platform = "linux", source_kind = "flashinfer", variants = ["cu129"] }, + { name = "nvidia-cublas", sys_platform = "linux" }, +] +torch_wheel_deps = [ + { name = "torch", version = "3.0.0", local = "{torch_local_version}", sys_platform = "linux", source_kind = "pytorch" }, +] +managed_extras = ["cpu", "gpu-old", "cu129", "cu132"] +nvidia_cuda_libraries = [ + { name = "cublas", nvidia_package_suffix = "", index = "nvidia-pypi-public" }, + "nvtx", +] +conflict_extras = ["cpu"] + +[cpu] +dependencies = [ + { name = "torch", version = "2.10.0", local = "cpu", sys_platform = "linux", index = "pytorch-cpu", source_marker = "sys_platform=='linux'" }, +] + +[[indexes]] +name = "pytorch-cpu" +url = "https://download.pytorch.org/whl/cpu" +explicit = true + +[[indexes]] +name = "nvidia-pypi-public" +url = "https://pypi.nvidia.com" +explicit = true + +[cuda_indexes.pytorch] +name = "pytorch-{extra}" +url = "https://download.pytorch.org/whl/{extra}" +explicit = true + +[cuda_indexes.flashinfer] +name = "flashinfer-{extra}" +url = "https://flashinfer.ai/whl/{extra}" +explicit = true + +[sources.cpu] +torch = [ + { index = "pytorch-cpu", extra = "cpu", marker = "sys_platform=='linux'" }, +] + +[variants.cu132] +cuda_package_suffix = "cu13" +nvidia_package_suffix = "" + +[variants.cu129] +cuda_package_suffix = "cu12" +""" + + +PYPROJECT = """ +[project] +name = "demo" + +[project.optional-dependencies] +cpu = [ + "old-cpu", +] +gpu-old = [ + "old-cuda", +] + +[tool.uv] +required-version = ">=0.9.30, <0.10.0" +conflicts = [ + [ + { extra = "cpu" }, + { extra = "gpu-old" }, + ], +] + +[tool.uv.sources] +torch = [ + { index = "old", extra = "gpu-old" }, +] + +[[tool.uv.index]] +name = "old" +url = "https://example.invalid" +explicit = true +""" + + +def test_build_cuda_pyproject_fragment_renders_cuda_variant_and_sources(tmp_path: Path) -> None: + config_path = tmp_path / "cuda_deps.toml" + config_path.write_text(CUDA_DEPS, encoding="utf-8") + + generated = GENERATOR.build_cuda_pyproject_fragment(GENERATOR.load_cuda_deps_config(config_path)) + parsed = tomllib.loads(generated.text) + + assert parsed["project"]["optional-dependencies"]["cu132"] == [ + "faker", + "accelerate", + "vllm==0.20.0; sys_platform == 'linux'", + "flashinfer-python==0.6.6; sys_platform == 'linux'", + "nvidia-cublas; sys_platform == 'linux'", + "torch==3.0.0+cu132; sys_platform == 'linux'", + ] + assert parsed["project"]["optional-dependencies"]["cpu"] == [ + "faker", + "accelerate", + "vllm==0.20.0; sys_platform == 'linux'", + "torch==2.10.0+cpu; sys_platform == 'linux'", + ] + assert parsed["tool"]["uv"]["conflicts"] == [[{"extra": "cpu"}, {"extra": "cu132"}, {"extra": "cu129"}]] + assert parsed["tool"]["uv"]["sources"]["torch"] == [ + {"index": "pytorch-cpu", "extra": "cpu", "marker": "sys_platform=='linux'"}, + {"index": "pytorch-cu132", "extra": "cu132"}, + {"index": "pytorch-cu129", "extra": "cu129"}, + ] + assert parsed["tool"]["uv"]["sources"]["flashinfer-python"] == [ + {"index": "flashinfer-cu132", "extra": "cu132", "marker": "sys_platform=='linux'"}, + {"index": "flashinfer-cu129", "extra": "cu129", "marker": "sys_platform=='linux'"}, + ] + assert parsed["tool"]["uv"]["sources"]["flashinfer-jit-cache"] == [{"index": "flashinfer-cu129", "extra": "cu129"}] + assert parsed["tool"]["uv"]["sources"]["nvidia-cublas"] == [ + {"index": "nvidia-pypi-public", "extra": "cu132"}, + {"index": "nvidia-pypi-public", "extra": "cu129"}, + ] + assert parsed["tool"]["uv"]["sources"]["nvidia-nvtx"] == [{"index": "pytorch-cu132"}] + assert parsed["tool"]["uv"]["sources"]["nvidia-nvtx-cu12"] == [{"index": "pytorch-cu129"}] + assert [index["name"] for index in parsed["tool"]["uv"]["index"]] == [ + "pytorch-cu132", + "flashinfer-cu132", + "pytorch-cu129", + "flashinfer-cu129", + "pytorch-cpu", + "nvidia-pypi-public", + ] + + +def test_apply_cuda_fragment_to_pyproject_splices_generated_sections(tmp_path: Path) -> None: + config_path = tmp_path / "cuda_deps.toml" + config_path.write_text(CUDA_DEPS, encoding="utf-8") + generated = GENERATOR.build_cuda_pyproject_fragment(GENERATOR.load_cuda_deps_config(config_path)) + + updated = GENERATOR.apply_cuda_fragment_to_pyproject(PYPROJECT, generated) + parsed = tomllib.loads(updated) + + assert "# >>> BEGIN GENERATED CUDA RUNTIME EXTRAS - DO NOT EDIT <<<" in updated + assert "# <<< END GENERATED CUDA RUNTIME EXTRAS - DO NOT EDIT >>>" in updated + assert "# >>> BEGIN GENERATED CUDA UV CONFLICTS - DO NOT EDIT <<<" in updated + assert "# <<< END GENERATED CUDA UV CONFLICTS - DO NOT EDIT >>>" in updated + assert "# >>> BEGIN GENERATED CUDA UV SOURCES AND INDEXES - DO NOT EDIT <<<" in updated + assert "# <<< END GENERATED CUDA UV SOURCES AND INDEXES - DO NOT EDIT >>>" in updated + assert "gpu-old" not in parsed["project"]["optional-dependencies"] + assert parsed["project"]["optional-dependencies"]["cu132"] == [ + "faker", + "accelerate", + "vllm==0.20.0; sys_platform == 'linux'", + "flashinfer-python==0.6.6; sys_platform == 'linux'", + "nvidia-cublas; sys_platform == 'linux'", + "torch==3.0.0+cu132; sys_platform == 'linux'", + ] + assert parsed["tool"]["uv"]["required-version"] == ">=0.9.30, <0.10.0" + assert parsed["tool"]["uv"]["sources"]["torch"] == [ + {"index": "pytorch-cpu", "extra": "cpu", "marker": "sys_platform=='linux'"}, + {"index": "pytorch-cu132", "extra": "cu132"}, + {"index": "pytorch-cu129", "extra": "cu129"}, + ] + + +def test_apply_cuda_fragment_to_pyproject_is_idempotent(tmp_path: Path) -> None: + config_path = tmp_path / "cuda_deps.toml" + config_path.write_text(CUDA_DEPS, encoding="utf-8") + generated = GENERATOR.build_cuda_pyproject_fragment(GENERATOR.load_cuda_deps_config(config_path)) + + updated = GENERATOR.apply_cuda_fragment_to_pyproject(PYPROJECT, generated) + assert GENERATOR.apply_cuda_fragment_to_pyproject(updated, generated) == updated + + +def test_run_generation_command_check_reports_drift(tmp_path: Path) -> None: + config_path = tmp_path / "cuda_deps.toml" + output_path = tmp_path / "generated.toml" + config_path.write_text(CUDA_DEPS, encoding="utf-8") + output_path.write_text("# stale\n", encoding="utf-8") + + result = GENERATOR.run_generation_command(config_path, output_path, check=True) + + assert result.status == GENERATOR.GenStatus.changed + assert "differ" in result.message + + +def test_run_generation_command_check_reports_ok(tmp_path: Path) -> None: + config_path = tmp_path / "cuda_deps.toml" + output_path = tmp_path / "generated.toml" + config_path.write_text(CUDA_DEPS, encoding="utf-8") + generated = GENERATOR.build_cuda_pyproject_fragment(GENERATOR.load_cuda_deps_config(config_path)) + output_path.write_text(generated.text, encoding="utf-8") + + result = GENERATOR.run_generation_command(config_path, output_path, check=True) + + assert result.status == GENERATOR.GenStatus.ok + assert "up to date" in result.message + + +def test_run_generation_command_check_reports_missing_output(tmp_path: Path) -> None: + config_path = tmp_path / "cuda_deps.toml" + output_path = tmp_path / "generated.toml" + config_path.write_text(CUDA_DEPS, encoding="utf-8") + + result = GENERATOR.run_generation_command(config_path, output_path, check=True) + + assert result.status == GENERATOR.GenStatus.changed + assert "does not exist" in result.message + + +def test_run_generation_command_check_requires_output_or_pyproject(tmp_path: Path) -> None: + config_path = tmp_path / "cuda_deps.toml" + config_path.write_text(CUDA_DEPS, encoding="utf-8") + + result = GENERATOR.run_generation_command(config_path, None, check=True) + + assert result.status == GENERATOR.GenStatus.error + assert "requires --output" in result.message + + +def test_run_generation_command_pyproject_check_reports_drift(tmp_path: Path) -> None: + config_path = tmp_path / "cuda_deps.toml" + pyproject_path = tmp_path / "pyproject.toml" + config_path.write_text(CUDA_DEPS, encoding="utf-8") + pyproject_path.write_text(PYPROJECT, encoding="utf-8") + + result = GENERATOR.run_generation_command(config_path, None, check=True, pyproject_path=pyproject_path) + + assert result.status == GENERATOR.GenStatus.changed + assert "pyproject.toml" in result.message + + +def test_run_generation_command_pyproject_check_reports_ok(tmp_path: Path) -> None: + config_path = tmp_path / "cuda_deps.toml" + pyproject_path = tmp_path / "pyproject.toml" + config_path.write_text(CUDA_DEPS, encoding="utf-8") + generated = GENERATOR.build_cuda_pyproject_fragment(GENERATOR.load_cuda_deps_config(config_path)) + pyproject_path.write_text(GENERATOR.apply_cuda_fragment_to_pyproject(PYPROJECT, generated), encoding="utf-8") + + result = GENERATOR.run_generation_command(config_path, None, check=True, pyproject_path=pyproject_path) + + assert result.status == GENERATOR.GenStatus.ok + assert "up to date" in result.message + + +def test_click_cli_writes_parseable_output_and_checks_drift(tmp_path: Path) -> None: + config_path = tmp_path / "cuda_deps.toml" + output_path = tmp_path / "generated.toml" + config_path.write_text(CUDA_DEPS, encoding="utf-8") + + stale_result = CliRunner().invoke(GENERATOR._cli, [str(config_path), "--output", str(output_path), "--check"]) + + assert stale_result.exit_code == 1 + assert not output_path.exists() + + result = CliRunner().invoke(GENERATOR._cli, [str(config_path), "--output", str(output_path)]) + + assert result.exit_code == 0 + parsed = tomllib.loads(output_path.read_text(encoding="utf-8")) + assert parsed["project"]["optional-dependencies"]["cu132"] == [ + "faker", + "accelerate", + "vllm==0.20.0; sys_platform == 'linux'", + "flashinfer-python==0.6.6; sys_platform == 'linux'", + "nvidia-cublas; sys_platform == 'linux'", + "torch==3.0.0+cu132; sys_platform == 'linux'", + ] + assert parsed["tool"]["uv"]["sources"]["torch"] == [ + {"index": "pytorch-cpu", "extra": "cpu", "marker": "sys_platform=='linux'"}, + {"index": "pytorch-cu132", "extra": "cu132"}, + {"index": "pytorch-cu129", "extra": "cu129"}, + ] + + current_result = CliRunner().invoke(GENERATOR._cli, [str(config_path), "--output", str(output_path), "--check"]) + + assert current_result.exit_code == 0 + + +def test_load_cuda_deps_config_rejects_missing_managed_extra(tmp_path: Path) -> None: + config_path = tmp_path / "cuda_deps.toml" + config_path.write_text(CUDA_DEPS.replace('"cpu", "gpu-old", "cu129", "cu132"', '"cpu"'), encoding="utf-8") + + with pytest.raises(GENERATOR.ValidationError, match="managed_extras"): + GENERATOR.load_cuda_deps_config(config_path) + + +def test_load_cuda_deps_config_rejects_invalid_structured_specifier(tmp_path: Path) -> None: + config_path = tmp_path / "cuda_deps.toml" + config_path.write_text( + CUDA_DEPS.replace('{ name = "accelerate" }', '{ name = "accelerate", specifier = "=>1" }'), encoding="utf-8" + ) + + with pytest.raises(GENERATOR.ValidationError, match="Invalid specifier"): + GENERATOR.load_cuda_deps_config(config_path) + + +def test_build_cuda_pyproject_fragment_rejects_invalid_raw_requirement(tmp_path: Path) -> None: + config_path = tmp_path / "cuda_deps.toml" + config_path.write_text(CUDA_DEPS.replace('"faker"', '"not @@@ invalid"'), encoding="utf-8") + + with pytest.raises(InvalidRequirement): + GENERATOR.build_cuda_pyproject_fragment(GENERATOR.load_cuda_deps_config(config_path)) + + +def test_collect_uv_indexes_rejects_conflicting_duplicate_index(tmp_path: Path) -> None: + config_path = tmp_path / "cuda_deps.toml" + config_path.write_text( + CUDA_DEPS + + """ +[[indexes]] +name = "pytorch-cu132" +url = "https://example.invalid/conflict" +explicit = true +""", + encoding="utf-8", + ) + + with pytest.raises(ValueError, match="Conflicting uv index definition"): + GENERATOR.build_cuda_pyproject_fragment(GENERATOR.load_cuda_deps_config(config_path)) diff --git a/tools/gen_cuda_deps.py b/tools/gen_cuda_deps.py new file mode 100644 index 000000000..fa24dae72 --- /dev/null +++ b/tools/gen_cuda_deps.py @@ -0,0 +1,1146 @@ +#!/usr/bin/env -S uv run --script +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# /// script +# requires-python = ">=3.11" +# dependencies = [ +# "click>=8", +# "packaging>=24", +# "pydantic", +# "structlog", +# "tomlkit", +# ] +# /// +"""Generate CUDA-related pyproject.toml sections from cuda_deps.toml. + +Developer orientation: + +This script has three intentionally readable layers. + +1. Command entrypoint and presentation + Click owns argument parsing, logging setup, stdout/stderr behavior, and exit + codes. It should delegate quickly to `run_generation_command()` and avoid + knowing TOML structure. + +2. High-level API + The stable spine is: + `load_cuda_deps_config()` -> + `build_cuda_pyproject_fragment()` -> + `apply_cuda_fragment_to_pyproject()` / command output handling. + These functions describe what the tool does in domain language and are the + first place future agents should read. + +3. Mid-level processing + The lower layer collects uv sources/indexes, builds the generated TOML + fragment, and splices that fragment into an existing pyproject. Keep + pyproject mutation and generated-marker mechanics separate from dependency + rendering. + +The CUDA variant object model also has a deliberate split: + +* `CudaVariantContext` owns one variant's template context and dependency stack. +* `CudaVariantDependencyRenderer` renders PEP 508 dependency strings and package + names. +* `CudaVariantUvRouter` materializes `[tool.uv.sources]` and `[[tool.uv.index]]` + routing for that variant. + +When changing this file, prefer preserving those boundaries over adding a single +shortcut method to whichever class is nearby. +""" + +import sys +import tomllib +from collections.abc import Iterable, Iterator, Sequence +from dataclasses import dataclass +from enum import StrEnum +from pathlib import Path +from typing import Literal, NamedTuple, Self + +import click +import structlog +import tomlkit +from packaging.markers import Marker +from packaging.requirements import Requirement +from packaging.specifiers import SpecifierSet +from packaging.utils import canonicalize_name +from packaging.version import Version +from pydantic import BaseModel, ConfigDict, Field, ValidationError, model_validator +from tomlkit import TOMLDocument +from tomlkit.container import OutOfOrderTableProxy +from tomlkit.items import AoT, Array, Table + +logger = structlog.get_logger(__name__) + + +# --------------------------------------------------------------------------- +# Generated pyproject marker model +# --------------------------------------------------------------------------- + + +class GenStatus(StrEnum): + """CLI result status.""" + + ok = "ok" + changed = "changed" + error = "error" + + +GENERATED_BEGIN_PREFIX = "# >>> BEGIN GENERATED CUDA " +GENERATED_END_PREFIX = "# <<< END GENERATED CUDA " +GENERATED_MARKER_SUFFIX = " - DO NOT EDIT" +GENERATED_MARKER_BODY = ( + "# Source of truth: cuda_deps.toml.", + "# Regenerate with: uv run --script tools/gen_cuda_deps.py cuda_deps.toml --pyproject pyproject.toml", + "# Manual edits inside this block will be overwritten.", +) +GENERATED_MARKER_COMMENT_PREFIXES = ( + "# Generated extras in this block:", + "# Generated uv section:", + "# Generated uv sections:", +) + + +class GeneratedBlock(NamedTuple): + """Line range that should be wrapped in a generated-code marker.""" + + label: str + start: int + end: int + detail: str + + +@dataclass(frozen=True) +class GeneratedBlocks: + """Generated pyproject marker blocks computed from current line positions.""" + + lines: Sequence[str] + extras: Sequence[str] + + def __iter__(self) -> Iterator[GeneratedBlock]: + runtime_start = _find_assignment(self.lines, self.extras[0]) + conflicts_start = _find_assignment(self.lines, "conflicts") + yield GeneratedBlock( + label="RUNTIME EXTRAS", + start=runtime_start, + end=_find_array_end(self.lines, _find_assignment(self.lines, self.extras[-1])), + detail=f"# Generated extras in this block: {', '.join(self.extras)}.", + ) + yield GeneratedBlock( + label="UV CONFLICTS", + start=conflicts_start, + end=_find_array_end(self.lines, conflicts_start), + detail="# Generated uv section: tool.uv.conflicts.", + ) + yield GeneratedBlock( + label="UV SOURCES AND INDEXES", + start=_find_section(self.lines, "[tool.uv.sources]"), + end=_last_generated_index_line(self.lines), + detail="# Generated uv sections: tool.uv.sources and tool.uv.index.", + ) + + def reversed(self) -> list[GeneratedBlock]: + return sorted(self, key=lambda block: block.start, reverse=True) + + +# --------------------------------------------------------------------------- +# cuda_deps.toml domain model +# --------------------------------------------------------------------------- + + +class SourceKind(StrEnum): + """Symbolic source routes resolved from CUDA variant metadata.""" + + pytorch = "pytorch" + flashinfer = "flashinfer" + + +class StrictModel(BaseModel): + """Pydantic base for validated TOML records.""" + + model_config = ConfigDict(extra="forbid") + + +class SourceSpec(StrictModel): + """One [tool.uv.sources] entry for a package.""" + + index: str = Field(description="uv index name.") + extra: str | None = Field(default=None, description="Optional dependency extra that activates the source.") + marker: str | None = Field(default=None, description="PEP 508 marker that activates the source.") + + @model_validator(mode="after") + def _validate_marker(self) -> Self: + if self.marker is not None and not _has_template(self.marker): + Marker(self.marker) + return self + + +class IndexSpec(StrictModel): + """One [[tool.uv.index]] entry.""" + + name: str = Field(description="uv index name.") + url: str = Field(description="Package index URL.") + explicit: bool = Field(default=True, description="Whether uv should use this index only when requested.") + + +class DependencySpec(StrictModel): + """Structured dependency record that renders to a PEP 508 requirement.""" + + name: str = Field(description="Package name or name template.") + version: str | None = Field(default=None, description="Exact version without the == prefix.") + specifier: str | None = Field(default=None, description="Version specifier, e.g. >=2.0.0 or ==1.2.3.") + local: str | None = Field(default=None, description="Local version suffix, with or without a leading +.") + marker: str | None = Field(default=None, description="PEP 508 marker.") + sys_platform: str | None = Field(default=None, description="Shortcut for sys_platform marker.") + arch: str | None = Field(default=None, description="Shortcut for platform_machine marker.") + source_kind: SourceKind | None = Field(default=None, description="Symbolic uv source route for this dependency.") + index: str | None = Field(default=None, description="Literal uv index name or template for this dependency.") + source_marker: str | None = Field(default=None, description="Marker for the generated uv source entry.") + variants: list[str] | None = Field( + default=None, description="CUDA variant extras that should include this dependency." + ) + + @model_validator(mode="after") + def _validate_version_fields(self) -> Self: + if self.version is not None and self.specifier is not None: + raise ValueError("Use either version or specifier, not both") + if self.local is not None and self.version is None: + raise ValueError("local requires version") + if self.source_kind is not None and self.index is not None: + raise ValueError("Use either source_kind or index, not both") + self._validate_packaging_fields() + return self + + def _validate_packaging_fields(self) -> None: + if not _has_template(self.name): + canonicalize_name(self.name) + if self.version is not None and not _has_template(self.version, self.local): + Version(f"{self.version}{_local_suffix(self.local)}") + if self.specifier is not None and not _has_template(self.specifier): + SpecifierSet(self.specifier) + for marker in (self.marker, self.source_marker): + if marker is not None and not _has_template(marker): + Marker(marker) + + def as_pepstr(self, renderer: "TemplateRenderer") -> str: + requirement = self.versioned_requirement(renderer) + marker = " and ".join(self.pep_markers(renderer)) + pepstr = f"{requirement}; {marker}" if marker else requirement + self.validate_pepstr(pepstr, renderer) + return pepstr + + def versioned_requirement(self, renderer: "TemplateRenderer") -> str: + name = renderer.template(self.name) + match self: + case DependencySpec(version=str() as version, local=local): + rendered_version = f"{renderer.template(version)}{_local_suffix(renderer.optional_template(local))}" + Version(rendered_version) + return f"{name}=={rendered_version}" + case DependencySpec(specifier=str() as specifier): + rendered_specifier = renderer.template(specifier) + SpecifierSet(rendered_specifier) + return f"{name}{rendered_specifier}" + return name + + def pep_markers(self, renderer: "TemplateRenderer") -> Iterator[str]: + for marker in ( + renderer.optional_template(self.marker), + _platform_marker("sys_platform", self.sys_platform), + _platform_marker("platform_machine", self.arch), + ): + if marker: + yield marker + + def validate_pepstr(self, pepstr: str, renderer: "TemplateRenderer") -> None: + for marker in self.pep_markers(renderer): + Marker(marker) + requirement = Requirement(pepstr) + if canonicalize_name(requirement.name) != canonicalize_name(renderer.template(self.name)): + raise ValueError(f"Rendered requirement name changed unexpectedly: {pepstr!r}") + + +DependencyEntry = str | DependencySpec + + +@dataclass(frozen=True) +class DependencyStack: + """Ordered dependency layers that render as one stream.""" + + groups: tuple[Sequence[DependencyEntry], ...] + + @classmethod + def of(cls, *groups: Sequence[DependencyEntry]) -> Self: + return cls(groups=groups) + + def __iter__(self) -> Iterator[DependencyEntry]: + for group in self.groups: + yield from group + + +class NvidiaCudaLibrarySpec(StrictModel): + """NVIDIA CUDA package source routing metadata.""" + + name: str = Field(description="NVIDIA CUDA library package stem without the nvidia- prefix.") + nvidia_package_suffix: str | None = Field( + default=None, + description="Optional package suffix override. Defaults to the CUDA variant suffix.", + ) + index: str | None = Field( + default=None, + description="Optional literal uv index name or template. Defaults to the variant PyTorch index.", + ) + + +NvidiaCudaLibraryEntry = str | NvidiaCudaLibrarySpec + + +class CpuExtra(StrictModel): + """CPU optional dependency extra.""" + + dependencies: list[DependencyEntry] = Field(description="Dependency lines for the cpu extra.") + + +class CudaIndexTemplates(StrictModel): + """Default index templates for CUDA variants.""" + + pytorch: IndexSpec = Field(description="Template for PyTorch CUDA indexes.") + flashinfer: IndexSpec | None = Field(default=None, description="Template for FlashInfer CUDA indexes.") + + +class CudaVariant(StrictModel): + """CUDA optional dependency extra and its package indexes.""" + + cuda_package_suffix: str = Field(description="Suffix for nvidia-* packages, e.g. cu12.") + nvidia_package_suffix: str | None = Field( + default=None, + description="Suffix appended to nvidia-* package names. Defaults to cuda_package_suffix; use empty string for unsuffixed packages.", + ) + torch_local_version: str | None = Field( + default=None, + description="Local version suffix for torch packages. Defaults to the extra name.", + ) + dependencies: list[DependencyEntry] = Field( + default_factory=list, + description="Additional variant-specific dependency templates.", + ) + pytorch_index: IndexSpec | None = Field(default=None, description="Optional PyTorch index override.") + flashinfer_index: IndexSpec | None = Field(default=None, description="Optional FlashInfer index override.") + + +class CudaDepsConfig(StrictModel): + """Source-of-truth CUDA dependency matrix.""" + + base_runtime_deps: list[DependencyEntry] = Field( + description="Pipeline/runtime dependencies shared by all runtime extras without implying Torch wheels.", + ) + torch_runtime_deps: list[DependencyEntry] = Field( + description="Torch-adjacent runtime dependencies shared by CPU and CUDA extras." + ) + cuda_runtime_deps: list[DependencyEntry] = Field( + description="CUDA-only runtime dependency templates shared by all CUDA extras." + ) + torch_wheel_deps: list[DependencyEntry] = Field( + description="Torch-family dependency templates whose wheels follow the selected CUDA extra." + ) + managed_extras: list[str] = Field(description="Extras owned by this generator in pyproject.toml.") + nvidia_cuda_libraries: list[NvidiaCudaLibraryEntry] = Field( + description="NVIDIA CUDA libraries used for uv source routing." + ) + conflict_extras: list[str] = Field(default_factory=lambda: ["cpu"], description="Non-CUDA conflicting extras.") + cpu: CpuExtra = Field(description="CPU dependency extra.") + indexes: list[IndexSpec] = Field(default_factory=list, description="Shared package indexes.") + cuda_indexes: CudaIndexTemplates = Field(description="CUDA index templates.") + sources: dict[str, dict[str, list[SourceSpec]]] = Field( + default_factory=dict, + description="Static source entries keyed by extra name, then package name.", + ) + variants: dict[str, CudaVariant] = Field(description="CUDA variants keyed by extra name.") + + @model_validator(mode="after") + def _validate_managed_extras(self) -> "CudaDepsConfig": + missing = [extra for extra in ["cpu", *self.variants] if extra not in self.managed_extras] + if missing: + raise ValueError(f"managed_extras is missing generated extras: {', '.join(missing)}") + return self + + +# --------------------------------------------------------------------------- +# Mid-level materializers and accumulators +# --------------------------------------------------------------------------- + + +class UvSourcesAccumulator: + """Deduplicating accumulator for [tool.uv.sources].""" + + def __init__(self) -> None: + self._sources: dict[str, list[SourceSpec]] = {} + + def add(self, package: str, spec: SourceSpec) -> None: + bucket = self._sources.setdefault(package, []) + if spec not in bucket: + bucket.append(spec) + + def merge(self, package_sources: dict[str, list[SourceSpec]]) -> None: + for package, specs in package_sources.items(): + for spec in specs: + self.add(package, spec) + + def as_dict(self) -> dict[str, list[SourceSpec]]: + return self._sources + + +class TemplateRenderer: + """Base renderer for TOML template strings.""" + + def __init__(self, context: dict[str, str]) -> None: + self.context = context + + def optional_template(self, template: str | None) -> str | None: + return self.template(template) if template is not None else None + + def template(self, template: str) -> str: + return _render_template(template, self.context) + + +class RequirementRenderer(TemplateRenderer): + """Render dependency entries into PEP 508 requirement strings.""" + + def __init__(self, context: dict[str, str], extra: str | None = None) -> None: + super().__init__(context) + self.extra = extra + + def render_many(self, dependencies: Iterable[DependencyEntry]) -> list[str]: + return [self.render(dependency) for dependency in dependencies if self.applies(dependency)] + + def render(self, dependency: DependencyEntry) -> str: + match dependency: + case str() as template: + requirement = self.template(template) + Requirement(requirement) + return requirement + case DependencySpec() as spec: + return spec.as_pepstr(self) + raise TypeError(f"Unsupported dependency entry {dependency!r}") + + def applies(self, dependency: DependencyEntry) -> bool: + match dependency: + case DependencySpec(variants=list() as variants): + return self.extra in variants + case DependencySpec(): + # Structured dependencies without variants apply to every generated extra. + return True + case _: + return True + + +class CudaVariantContext(TemplateRenderer): + """Template context and helper objects for one CUDA optional dependency extra.""" + + def __init__(self, config: CudaDepsConfig, extra: str, variant: CudaVariant) -> None: + self.config = config + self.extra = extra + self.variant = variant + super().__init__( + { + "extra": extra, + "cuda_package_suffix": variant.cuda_package_suffix, + "nvidia_package_suffix": self.nvidia_package_suffix, + "torch_local_version": variant.torch_local_version or extra, + } + ) + self.dependencies = _cuda_dependency_stack(config, variant) + self.dependency_renderer = CudaVariantDependencyRenderer(self) + self.uv_router = CudaVariantUvRouter(self) + + @property + def nvidia_package_suffix(self) -> str: + suffix = self.variant.nvidia_package_suffix + if suffix is None: + suffix = self.variant.cuda_package_suffix + return _nvidia_package_suffix(suffix) + + +class CudaVariantDependencyRenderer: + """Render dependency strings and package names for one CUDA variant.""" + + def __init__(self, context: CudaVariantContext) -> None: + self.context = context + self.requirements = RequirementRenderer(context.context, extra=context.extra) + + def render_dependencies(self, dependencies: Iterable[DependencyEntry]) -> list[str]: + return self.requirements.render_many(dependencies) + + def dependency_packages(self, dependencies: Iterable[DependencyEntry]) -> set[str]: + packages = set() + for dependency in dependencies: + match dependency: + case DependencySpec(name=name) as spec if self.requirements.applies(spec): + packages.add(self.context.template(name)) + return packages + + +class CudaVariantUvRouter: + """Materialize uv sources and indexes for one CUDA variant.""" + + def __init__(self, context: CudaVariantContext) -> None: + self.context = context + + def add_dependency_sources( + self, + sources: UvSourcesAccumulator, + dependencies: Iterable[DependencyEntry], + ) -> None: + for dependency in dependencies: + match dependency: + case DependencySpec() as spec if self.context.dependency_renderer.requirements.applies(spec): + self.add_dependency_source(sources, spec) + + def add_dependency_source(self, sources: UvSourcesAccumulator, dependency: DependencySpec) -> None: + index = self.dependency_index(dependency) + if index is None: + return + sources.add( + self.context.template(dependency.name), + SourceSpec( + index=index, + extra=self.context.extra, + marker=self.context.optional_template(dependency.source_marker), + ), + ) + + def add_nvidia_sources(self, sources: UvSourcesAccumulator, *, direct_packages: set[str]) -> None: + for library in self.context.config.nvidia_cuda_libraries: + package = self.nvidia_package_name(library) + extra = self.context.extra if package in direct_packages else None + sources.add( + package, + SourceSpec(index=self.nvidia_source_index(library), extra=extra), + ) + + def nvidia_package_name(self, library: NvidiaCudaLibraryEntry) -> str: + match library: + case str() as name: + return f"nvidia-{name}{self.context.nvidia_package_suffix}" + case NvidiaCudaLibrarySpec(name=name, nvidia_package_suffix=str() as suffix): + return f"nvidia-{name}{_nvidia_package_suffix(suffix)}" + case NvidiaCudaLibrarySpec(name=name): + return f"nvidia-{name}{self.context.nvidia_package_suffix}" + raise TypeError(f"Unsupported NVIDIA CUDA library entry {library!r}") + + def nvidia_source_index(self, library: NvidiaCudaLibraryEntry) -> str: + match library: + case NvidiaCudaLibrarySpec(index=str() as index): + return self.context.template(index) + return self.pytorch_index.name + + @property + def pytorch_index(self) -> IndexSpec: + return self.source_kind_index_spec(SourceKind.pytorch) + + @property + def flashinfer_index(self) -> IndexSpec | None: + return self.optional_source_kind_index_spec(SourceKind.flashinfer) + + def indexes(self) -> list[IndexSpec]: + return [index for source_kind in SourceKind if (index := self.optional_source_kind_index_spec(source_kind))] + + def dependency_index(self, dependency: DependencySpec) -> str | None: + match dependency: + case DependencySpec(source_kind=SourceKind() as source_kind): + return self.source_kind_index(source_kind) + case DependencySpec(index=str() as index): + return self.context.template(index) + return None + + def source_kind_index(self, source_kind: SourceKind) -> str: + return self.source_kind_index_spec(source_kind).name + + def source_kind_index_spec(self, source_kind: SourceKind) -> IndexSpec: + index = self.optional_source_kind_index_spec(source_kind) + if index is None: + raise ValueError(f"CUDA source {source_kind.value!r} needs [cuda_indexes.{source_kind.value}]") + return index + + def optional_source_kind_index_spec(self, source_kind: SourceKind) -> IndexSpec | None: + variant_index = getattr(self.context.variant, f"{source_kind.value}_index", None) + default_index = getattr(self.context.config.cuda_indexes, source_kind.value, None) + index = variant_index or default_index + return self.render_index(index) if index is not None else None + + def render_index(self, index: IndexSpec) -> IndexSpec: + return IndexSpec( + name=self.context.template(index.name), + url=self.context.template(index.url), + explicit=index.explicit, + ) + + +@dataclass(frozen=True) +class CudaVariantContexts: + """Lazy iterable of CUDA variant materialization contexts.""" + + config: CudaDepsConfig + + def __iter__(self) -> Iterator[CudaVariantContext]: + for extra, variant in self.config.variants.items(): + yield CudaVariantContext(self.config, extra, variant) + + +# --------------------------------------------------------------------------- +# High-level API DTOs +# --------------------------------------------------------------------------- + + +class CudaPyprojectFragment(BaseModel): + """Generated pyproject TOML fragment plus summary metadata.""" + + text: str = Field(description="Generated pyproject.toml section text.") + rendered_extra_names: list[str] = Field(description="Optional dependency extras rendered in this fragment.") + managed_extra_names: list[str] = Field( + description="Optional dependency extras owned by the generator in pyproject.toml." + ) + indexes: list[str] = Field(description="Generated uv index names.") + source_packages: list[str] = Field(description="Generated uv source package names.") + + +class CudaDepsCommandResult(BaseModel): + """Structured result returned by the command workflow.""" + + status: GenStatus = Field(description="Command status.") + message: str = Field(description="Human-readable result.") + config: str = Field(description="Input cuda_deps.toml path.") + output: str | None = Field(default=None, description="Output path, when provided.") + generated: CudaPyprojectFragment | None = Field(default=None, description="Generated content summary.") + + +# --------------------------------------------------------------------------- +# High-level API +# --------------------------------------------------------------------------- + + +def load_cuda_deps_config(path: Path) -> CudaDepsConfig: + """Load and validate a CUDA dependency matrix.""" + data = tomllib.loads(path.read_text(encoding="utf-8")) + return CudaDepsConfig.model_validate(data) + + +def build_cuda_pyproject_fragment(config: CudaDepsConfig) -> CudaPyprojectFragment: + """Build generated CUDA optional-dependency and uv sections.""" + rendered_extra_names = ["cpu", *config.variants] + sources = _collect_uv_sources(config) + indexes = _collect_uv_indexes(config) + doc = _build_cuda_fragment_document(config, sources, indexes) + text = tomlkit.dumps(doc) + return CudaPyprojectFragment( + text=text, + rendered_extra_names=rendered_extra_names, + managed_extra_names=config.managed_extras, + indexes=[index.name for index in indexes], + source_packages=list(sources), + ) + + +def run_generation_command( + config_path: Path, + output_path: Path | None, + check: bool, + pyproject_path: Path | None = None, +) -> CudaDepsCommandResult: + """Load config, build the fragment, and route the requested output mode.""" + generated = build_cuda_pyproject_fragment(load_cuda_deps_config(config_path)) + if pyproject_path is not None: + return _update_pyproject(config_path, pyproject_path, check, generated) + if check: + return _check_generated(config_path, output_path, generated) + if output_path is None: + return _stdout_result(config_path, generated) + output_path.write_text(generated.text, encoding="utf-8") + return CudaDepsCommandResult( + status=GenStatus.ok, + message=f"Generated CUDA dependency sections at {output_path}", + config=str(config_path), + output=str(output_path), + generated=generated, + ) + + +def apply_cuda_fragment_to_pyproject(pyproject_text: str, generated: CudaPyprojectFragment) -> str: + """Return pyproject.toml with generated CUDA sections spliced in.""" + pyproject = tomlkit.parse(pyproject_text) + generated_doc = tomlkit.parse(generated.text) + _update_optional_dependencies(pyproject, generated_doc, generated.managed_extra_names) + _update_uv_sections(pyproject, generated_doc) + return _mark_generated_sections(tomlkit.dumps(pyproject), generated.rendered_extra_names) + + +# --------------------------------------------------------------------------- +# Mid-level processing: fragment assembly +# --------------------------------------------------------------------------- + + +def _build_cuda_fragment_document( + config: CudaDepsConfig, + sources: dict[str, list[SourceSpec]], + indexes: list[IndexSpec], +) -> TOMLDocument: + doc = tomlkit.document() + doc.add(tomlkit.comment("Generated by tools/gen_cuda_deps.py from cuda_deps.toml.")) + doc.add(tomlkit.comment("Copy these sections into pyproject.toml or write them with --output.")) + doc.add(tomlkit.nl()) + doc.add("project", _build_project_table(config)) + doc.add("tool", _build_tool_table(config, sources, indexes)) + return doc + + +def _build_project_table(config: CudaDepsConfig) -> Table: + project = tomlkit.table() + optional = tomlkit.table() + optional.add("cpu", _string_array(_render_cpu_extra_dependencies(config))) + for context in CudaVariantContexts(config): + optional.add( + context.extra, + _string_array(context.dependency_renderer.render_dependencies(context.dependencies)), + ) + project.add("optional-dependencies", optional) + return project + + +def _build_tool_table( + config: CudaDepsConfig, + sources: dict[str, list[SourceSpec]], + indexes: list[IndexSpec], +) -> Table: + tool = tomlkit.table() + uv = tomlkit.table() + uv.add("conflicts", _conflicts_array([*config.conflict_extras, *config.variants])) + uv.add("sources", _sources_table(sources)) + uv.add("index", _index_aot(indexes)) + tool.add("uv", uv) + return tool + + +# --------------------------------------------------------------------------- +# Mid-level processing: pyproject splicing and generated markers +# --------------------------------------------------------------------------- + + +def _update_optional_dependencies( + pyproject: TOMLDocument, + generated: TOMLDocument, + managed_extras: list[str], +) -> None: + optional = _required_table(_required_table(pyproject, "project"), "optional-dependencies") + generated_optional = _required_table(_required_table(generated, "project"), "optional-dependencies") + for extra in list(optional): + if str(extra) in managed_extras: + del optional[extra] + for extra, dependencies in generated_optional.items(): + optional[extra] = dependencies + + +def _update_uv_sections(pyproject: TOMLDocument, generated: TOMLDocument) -> None: + uv = _required_table(_required_table(pyproject, "tool"), "uv") + generated_uv = _required_table(_required_table(generated, "tool"), "uv") + for key in ("conflicts", "sources", "index"): + uv[key] = generated_uv[key] + + +def _mark_generated_sections(pyproject_text: str, extras: list[str]) -> str: + lines = _strip_generated_markers(pyproject_text.splitlines()) + for block in GeneratedBlocks(lines, extras).reversed(): + _insert_generated_marker(lines, block) + return "\n".join(lines) + "\n" + + +def _insert_generated_marker(lines: list[str], block: GeneratedBlock) -> None: + start_marker = [ + f"{GENERATED_BEGIN_PREFIX}{block.label}{GENERATED_MARKER_SUFFIX} <<<", + *GENERATED_MARKER_BODY, + block.detail, + ] + lines[block.start : block.start] = start_marker + end = block.end + len(start_marker) + lines[end + 1 : end + 1] = [f"{GENERATED_END_PREFIX}{block.label}{GENERATED_MARKER_SUFFIX} >>>"] + + +def _strip_generated_markers(lines: list[str]) -> list[str]: + stripped = [] + in_marker_header = False + for line in lines: + if line.startswith(GENERATED_BEGIN_PREFIX): + in_marker_header = True + continue + if line.startswith(GENERATED_END_PREFIX): + continue + if in_marker_header and _is_generated_marker_comment(line): + continue + in_marker_header = False + stripped.append(line) + return stripped + + +def _is_generated_marker_comment(line: str) -> bool: + if line in GENERATED_MARKER_BODY: + return True + return line.startswith(GENERATED_MARKER_COMMENT_PREFIXES) + + +def _find_assignment(lines: Sequence[str], key: str) -> int: + assignment = f"{key} = [" + for index, line in enumerate(lines): + if line == assignment: + return index + raise ValueError(f"pyproject.toml: missing generated assignment {assignment!r}") + + +def _find_section(lines: Sequence[str], section: str) -> int: + for index, line in enumerate(lines): + if line == section: + return index + raise ValueError(f"pyproject.toml: missing generated section {section!r}") + + +def _last_generated_index_line(lines: Sequence[str]) -> int: + index_start = _find_section(lines, "[[tool.uv.index]]") + next_section = _find_next_non_index_section(lines, index_start + 1) + return next_section - 1 if next_section is not None else len(lines) - 1 + + +def _find_next_non_index_section(lines: Sequence[str], start_index: int) -> int | None: + for index in range(start_index, len(lines)): + if lines[index].startswith("[") and lines[index] != "[[tool.uv.index]]": + return index + return None + + +def _find_array_end(lines: Sequence[str], start_index: int) -> int: + for index in range(start_index + 1, len(lines)): + if lines[index] == "]": + return index + raise ValueError(f"pyproject.toml: missing closing bracket for generated assignment at line {start_index + 1}") + + +def _required_table( + container: TOMLDocument | Table | OutOfOrderTableProxy, key: str +) -> TOMLDocument | Table | OutOfOrderTableProxy: + value = container.get(key) + if not isinstance(value, TOMLDocument | Table | OutOfOrderTableProxy): + raise ValueError(f"pyproject.toml: missing [{key}] table") + return value + + +# --------------------------------------------------------------------------- +# Mid-level processing: dependency, source, and index collection +# --------------------------------------------------------------------------- + + +def _render_cpu_extra_dependencies(config: CudaDepsConfig) -> list[str]: + dependencies = DependencyStack.of(config.base_runtime_deps, config.torch_runtime_deps, config.cpu.dependencies) + return RequirementRenderer({}).render_many(dependencies) + + +def _collect_uv_sources(config: CudaDepsConfig) -> dict[str, list[SourceSpec]]: + sources = UvSourcesAccumulator() + for package_sources in config.sources.values(): + sources.merge(package_sources) + _add_cpu_dependency_sources(sources, config.cpu.dependencies) + for context in CudaVariantContexts(config): + context.uv_router.add_dependency_sources(sources, context.dependencies) + context.uv_router.add_nvidia_sources( + sources, + direct_packages=context.dependency_renderer.dependency_packages(context.dependencies), + ) + return sources.as_dict() + + +def _add_cpu_dependency_sources(sources: UvSourcesAccumulator, dependencies: Iterable[DependencyEntry]) -> None: + renderer = RequirementRenderer({}, extra="cpu") + for dependency in dependencies: + match dependency: + case DependencySpec(name=name, index=str() as index, source_marker=source_marker) as spec if ( + renderer.applies(spec) + ): + sources.add( + renderer.template(name), + SourceSpec( + index=renderer.template(index), + extra="cpu", + marker=renderer.optional_template(source_marker), + ), + ) + + +def _collect_uv_indexes(config: CudaDepsConfig) -> list[IndexSpec]: + indexes: dict[str, IndexSpec] = {} + for context in CudaVariantContexts(config): + for index in context.uv_router.indexes(): + _add_index(indexes, index) + for index in config.indexes: + _add_index(indexes, index) + return list(indexes.values()) + + +def _add_index(indexes: dict[str, IndexSpec], index: IndexSpec) -> None: + existing = indexes.get(index.name) + if existing is not None and existing != index: + raise ValueError( + f"Conflicting uv index definition for {index.name!r}: " + f"{existing.url!r} explicit={existing.explicit!r} != {index.url!r} explicit={index.explicit!r}" + ) + indexes[index.name] = index + + +def _cuda_dependency_stack(config: CudaDepsConfig, variant: CudaVariant) -> DependencyStack: + return DependencyStack.of( + config.base_runtime_deps, + config.torch_runtime_deps, + config.cuda_runtime_deps, + config.torch_wheel_deps, + variant.dependencies, + ) + + +# --------------------------------------------------------------------------- +# Low-level rendering and TOML helpers +# --------------------------------------------------------------------------- + + +def _local_suffix(local: str | None) -> str: + match local: + case None | "": + return "" + case str() if local.startswith("+"): + return local + case str(): + return f"+{local}" + raise TypeError(f"Unsupported local version suffix {local!r}") + + +def _has_template(*values: str | None) -> bool: + return any(value is not None and "{" in value for value in values) + + +def _nvidia_package_suffix(suffix: str) -> str: + return f"-{suffix}" if suffix else "" + + +def _platform_marker(name: str, value: str | None) -> str | None: + return f"{name} == '{value}'" if value else None + + +def _render_template(template: str, context: dict[str, str]) -> str: + try: + return template.format_map(context) + except KeyError as exc: + key = str(exc).strip("'") + raise ValueError(f"Unknown template key {key!r} in dependency {template!r}") from exc + + +def _string_array(items: list[str]) -> Array: + array = tomlkit.array() + array.multiline(True) + for item in items: + array.append(item) + return array + + +def _conflicts_array(extras: list[str]) -> Array: + group = tomlkit.array() + group.multiline(True) + for extra in extras: + table = tomlkit.inline_table() + table.add("extra", extra) + group.append(table) + outer = tomlkit.array() + outer.multiline(True) + outer.append(group) + return outer + + +def _sources_table(sources: dict[str, list[SourceSpec]]) -> Table: + table = tomlkit.table() + for package, specs in sources.items(): + table.add(package, _source_array(specs)) + return table + + +def _source_array(specs: list[SourceSpec]) -> Array: + array = tomlkit.array() + array.multiline(True) + for spec in specs: + table = tomlkit.inline_table() + table.add("index", spec.index) + if spec.extra is not None: + table.add("extra", spec.extra) + if spec.marker is not None: + table.add("marker", spec.marker) + array.append(table) + return array + + +def _index_aot(indexes: list[IndexSpec]) -> AoT: + aot = tomlkit.aot() + for index in indexes: + table = tomlkit.table() + table.add("name", index.name) + table.add("url", index.url) + table.add("explicit", index.explicit) + aot.append(table) + return aot + + +# --------------------------------------------------------------------------- +# Command workflow helpers +# --------------------------------------------------------------------------- + + +def _check_generated( + config_path: Path, + output_path: Path | None, + generated: CudaPyprojectFragment, +) -> CudaDepsCommandResult: + if output_path is None: + return CudaDepsCommandResult( + status=GenStatus.error, + message="--check requires --output", + config=str(config_path), + generated=generated, + ) + if not output_path.exists(): + return CudaDepsCommandResult( + status=GenStatus.changed, + message=f"{output_path} does not exist; run again without --check to generate it", + config=str(config_path), + output=str(output_path), + generated=generated, + ) + current = output_path.read_text(encoding="utf-8") + status = GenStatus.ok if current == generated.text else GenStatus.changed + message = "Generated CUDA dependency sections are up to date" + if status is GenStatus.changed: + message = f"Generated CUDA dependency sections differ from {output_path}" + return CudaDepsCommandResult( + status=status, + message=message, + config=str(config_path), + output=str(output_path), + generated=generated, + ) + + +def _update_pyproject( + config_path: Path, + pyproject_path: Path, + check: bool, + generated: CudaPyprojectFragment, +) -> CudaDepsCommandResult: + current = pyproject_path.read_text(encoding="utf-8") + updated = apply_cuda_fragment_to_pyproject(current, generated) + if check: + return _check_pyproject(config_path, pyproject_path, generated, current, updated) + pyproject_path.write_text(updated, encoding="utf-8") + return CudaDepsCommandResult( + status=GenStatus.ok, + message=f"Updated generated CUDA dependency sections in {pyproject_path}", + config=str(config_path), + output=str(pyproject_path), + generated=generated, + ) + + +def _check_pyproject( + config_path: Path, + pyproject_path: Path, + generated: CudaPyprojectFragment, + current: str, + updated: str, +) -> CudaDepsCommandResult: + status = GenStatus.ok if current == updated else GenStatus.changed + message = "Generated CUDA dependency sections in pyproject.toml are up to date" + if status is GenStatus.changed: + message = f"Generated CUDA dependency sections differ from {pyproject_path}" + return CudaDepsCommandResult( + status=status, + message=message, + config=str(config_path), + output=str(pyproject_path), + generated=generated, + ) + + +def _stdout_result(config_path: Path, generated: CudaPyprojectFragment) -> CudaDepsCommandResult: + return CudaDepsCommandResult( + status=GenStatus.ok, + message="Generated CUDA dependency sections", + config=str(config_path), + generated=generated, + ) + + +# --------------------------------------------------------------------------- +# Command entrypoint and presentation +# --------------------------------------------------------------------------- + + +def _configure_logging(log_format: Literal["plain", "json"]) -> None: + renderer = structlog.processors.JSONRenderer() if log_format == "json" else structlog.dev.ConsoleRenderer() + structlog.configure( + logger_factory=structlog.PrintLoggerFactory(file=sys.stderr), + processors=[renderer], + ) + + +def _emit_result(result: CudaDepsCommandResult, json_output: bool) -> None: + if json_output: + sys.stdout.write(result.model_dump_json(indent=2) + "\n") + return + if result.output is None and result.generated is not None and result.status is GenStatus.ok: + sys.stdout.write(result.generated.text) + return + logger.info(result.message) + return + + +def _exit_code(result: CudaDepsCommandResult) -> int: + if result.status is GenStatus.ok: + return 0 + if result.status is GenStatus.changed: + return 1 + return 125 + + +@click.command(help=__doc__) +@click.argument("config", required=False, type=click.Path(path_type=Path), default=Path("cuda_deps.toml")) +@click.option("--output", type=click.Path(path_type=Path), default=None, help="Write generated TOML sections here.") +@click.option( + "--pyproject", type=click.Path(path_type=Path), default=None, help="Update generated sections in pyproject.toml." +) +@click.option("--check", is_flag=True, help="Exit non-zero if generated output would change.") +@click.option("--json", "json_output", is_flag=True, help="Emit a JSON command result.") +@click.option("--log-format", type=click.Choice(["plain", "json"]), default="plain", show_default=True) +def _cli( + config: Path, + output: Path | None, + pyproject: Path | None, + check: bool, + json_output: bool, + log_format: Literal["plain", "json"], +) -> None: + """Generate CUDA dependency TOML sections.""" + _configure_logging(log_format) + try: + if output is not None and pyproject is not None: + raise ValueError("Use either --output or --pyproject, not both") + result = run_generation_command(config, output, check, pyproject) + except (OSError, ValueError, ValidationError, tomllib.TOMLDecodeError) as exc: + logger.error("Generation failed", error=str(exc)) + raise click.exceptions.Exit(125) from exc + _emit_result(result, json_output) + raise click.exceptions.Exit(_exit_code(result)) + + +def _run_cli() -> None: + _cli() + + +if __name__ == "__main__": + _run_cli() diff --git a/uv.lock b/uv.lock index 6bb00c1a8..c7ca883ff 100644 --- a/uv.lock +++ b/uv.lock @@ -2,28 +2,36 @@ version = 1 revision = 3 requires-python = ">=3.11, <3.14" resolution-markers = [ - "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'linux' and extra != 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129'", - "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'linux' and extra != 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129'", - "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'linux' and extra != 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129'", - "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra != 'extra-21-nemo-safe-synthesizer-cu129'", - "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra != 'extra-21-nemo-safe-synthesizer-cu129'", - "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra != 'extra-21-nemo-safe-synthesizer-cu129'", - "python_full_version >= '3.12' and platform_machine == 'x86_64' and sys_platform == 'linux' and extra != 'extra-21-nemo-safe-synthesizer-cpu' and extra != 'extra-21-nemo-safe-synthesizer-cu129'", - "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'linux' and extra != 'extra-21-nemo-safe-synthesizer-cpu' and extra != 'extra-21-nemo-safe-synthesizer-cu129'", - "python_full_version >= '3.12' and platform_machine == 'arm64' and sys_platform == 'darwin' and extra != 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129'", - "python_full_version < '3.12' and platform_machine == 'arm64' and sys_platform == 'darwin' and extra != 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129'", - "python_full_version >= '3.12' and platform_machine == 'arm64' and sys_platform == 'darwin' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra != 'extra-21-nemo-safe-synthesizer-cu129'", - "python_full_version < '3.12' and platform_machine == 'arm64' and sys_platform == 'darwin' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra != 'extra-21-nemo-safe-synthesizer-cu129'", - "python_full_version >= '3.12' and platform_machine == 'arm64' and sys_platform == 'darwin' and extra != 'extra-21-nemo-safe-synthesizer-cpu' and extra != 'extra-21-nemo-safe-synthesizer-cu129'", - 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== 'extra-21-nemo-safe-synthesizer-cu130'", + "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'linux' and extra != 'extra-21-nemo-safe-synthesizer-cpu' and extra != 'extra-21-nemo-safe-synthesizer-cu129' and extra == 'extra-21-nemo-safe-synthesizer-cu130'", + "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'linux' and extra != 'extra-21-nemo-safe-synthesizer-cpu' and extra != 'extra-21-nemo-safe-synthesizer-cu129' and extra == 'extra-21-nemo-safe-synthesizer-cu130'", + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'linux' and extra != 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129' and extra != 'extra-21-nemo-safe-synthesizer-cu130'", + "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'linux' and extra != 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129' and 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extra != 'extra-21-nemo-safe-synthesizer-cu130'", + "python_full_version >= '3.12' and platform_machine == 'x86_64' and sys_platform == 'linux' and extra != 'extra-21-nemo-safe-synthesizer-cpu' and extra != 'extra-21-nemo-safe-synthesizer-cu129' and extra != 'extra-21-nemo-safe-synthesizer-cu130'", + "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'linux' and extra != 'extra-21-nemo-safe-synthesizer-cpu' and extra != 'extra-21-nemo-safe-synthesizer-cu129' and extra != 'extra-21-nemo-safe-synthesizer-cu130'", + "python_full_version >= '3.12' and platform_machine == 'arm64' and sys_platform == 'darwin' and extra != 'extra-21-nemo-safe-synthesizer-cpu' and extra != 'extra-21-nemo-safe-synthesizer-cu129' and extra == 'extra-21-nemo-safe-synthesizer-cu130'", + "python_full_version < '3.12' and platform_machine == 'arm64' and sys_platform == 'darwin' and extra != 'extra-21-nemo-safe-synthesizer-cpu' and extra != 'extra-21-nemo-safe-synthesizer-cu129' and 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and extra == 'extra-21-nemo-safe-synthesizer-cu130'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'linux' and extra != 'extra-21-nemo-safe-synthesizer-cpu' and extra != 'extra-21-nemo-safe-synthesizer-cu129' and extra == 'extra-21-nemo-safe-synthesizer-cu130'", + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'linux' and extra != 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129' and extra != 'extra-21-nemo-safe-synthesizer-cu130'", + "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'linux' and extra != 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129' and extra != 'extra-21-nemo-safe-synthesizer-cu130'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'linux' and extra != 'extra-21-nemo-safe-synthesizer-cpu' and extra == 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extra != 'extra-21-nemo-safe-synthesizer-cu129' and extra != 'extra-21-nemo-safe-synthesizer-cu130'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'linux' and extra != 'extra-21-nemo-safe-synthesizer-cpu' and extra != 'extra-21-nemo-safe-synthesizer-cu129' and extra != 'extra-21-nemo-safe-synthesizer-cu130'", ] supported-markers = [ "platform_machine == 'x86_64' and sys_platform == 'linux'", @@ -33,6 +41,7 @@ supported-markers = [ conflicts = [[ { package = "nemo-safe-synthesizer", extra = "cpu" }, { package = "nemo-safe-synthesizer", extra = "cu129" }, + { package = "nemo-safe-synthesizer", extra = "cu130" }, ]] [manifest] @@ -54,29 +63,28 @@ constraints = [ { name = "requests", specifier = ">=2.33.0" }, { name = "tornado", specifier = ">=6.5.5" }, ] -overrides = [ - { name = "flashinfer-cubin", marker = "sys_platform != 'darwin'", specifier = "==0.6.8.post1" }, - { name = "flashinfer-python", marker = "sys_platform != 'darwin'", specifier = "==0.6.8.post1" }, -] [[package]] name = "accelerate" -version = "1.12.0" +version = "1.13.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "huggingface-hub", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, - { name = "numpy", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.13' and platform_machine == 'aarch64' and sys_platform == 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cpu') or (python_full_version < '3.13' and platform_machine == 'aarch64' and sys_platform == 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cu129') or 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== 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu130') or (sys_platform != 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129') or (sys_platform != 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu130') or (sys_platform != 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cu129' and extra == 'extra-21-nemo-safe-synthesizer-cu130')" }, ] cusparse = [ - { name = "nvidia-cusparse-cu12", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129') or (platform_machine == 'aarch64' and sys_platform == 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cu129') or (platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cu129') or (sys_platform != 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129')" }, + { name = "nvidia-cusparse", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu130') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-21-nemo-safe-synthesizer-cu129' and extra == 'extra-21-nemo-safe-synthesizer-cu130') or (platform_machine == 'aarch64' and sys_platform == 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cu130') or (platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cu130') or (platform_machine == 'aarch64' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 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'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129') or (platform_machine == 'aarch64' and sys_platform == 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cu129') or (platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cu129') or (sys_platform != 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129')" }, + { name = "nvidia-nvjitlink", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu130') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-21-nemo-safe-synthesizer-cu129' and extra == 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'extra-21-nemo-safe-synthesizer-cu129') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu130') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-21-nemo-safe-synthesizer-cu129' and extra == 'extra-21-nemo-safe-synthesizer-cu130') or (platform_machine == 'aarch64' and sys_platform == 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cu130') or (platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cu130') or (platform_machine == 'aarch64' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129') or (platform_machine == 'aarch64' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu130') or (platform_machine == 'x86_64' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 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(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu130') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cu129' and extra == 'extra-21-nemo-safe-synthesizer-cu130') or (sys_platform == 'darwin' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129') or (sys_platform == 'darwin' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu130') or (sys_platform == 'darwin' and extra == 'extra-21-nemo-safe-synthesizer-cu129' and extra == 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'extra-21-nemo-safe-synthesizer-cu129' and extra == 'extra-21-nemo-safe-synthesizer-cu130')" }, + { name = "mkdocs-gen-files", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu130') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cu129' and extra == 'extra-21-nemo-safe-synthesizer-cu130') or (sys_platform == 'darwin' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129') or (sys_platform == 'darwin' and extra == 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'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129') or (sys_platform == 'darwin' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129') or (sys_platform == 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129')" }, - { name = "pytest-subtests", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129') or (sys_platform == 'darwin' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129') or (sys_platform == 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 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== 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu130') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cu129' and extra == 'extra-21-nemo-safe-synthesizer-cu130') or (sys_platform == 'darwin' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129') or (sys_platform == 'darwin' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu130') or (sys_platform == 'darwin' and extra == 'extra-21-nemo-safe-synthesizer-cu129' and extra == 'extra-21-nemo-safe-synthesizer-cu130') or (sys_platform == 'linux' and extra == 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'extra-21-nemo-safe-synthesizer-cu129' and extra == 'extra-21-nemo-safe-synthesizer-cu130') or (sys_platform == 'darwin' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129') or (sys_platform == 'darwin' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu130') or (sys_platform == 'darwin' and extra == 'extra-21-nemo-safe-synthesizer-cu129' and extra == 'extra-21-nemo-safe-synthesizer-cu130') or (sys_platform == 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129') or (sys_platform == 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu130') or (sys_platform == 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cu129' and extra == 'extra-21-nemo-safe-synthesizer-cu130')" }, + { name = "pytest-env", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu130') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-21-nemo-safe-synthesizer-cu129' and extra == 'extra-21-nemo-safe-synthesizer-cu130') or (sys_platform == 'darwin' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu129') or (sys_platform == 'darwin' and extra == 'extra-21-nemo-safe-synthesizer-cpu' and extra == 'extra-21-nemo-safe-synthesizer-cu130') or (sys_platform == 'darwin' and extra == 'extra-21-nemo-safe-synthesizer-cu129' and extra == 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