chore: import upstream snapshot with attribution

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# Diff-based CI test selection
This document explains the diff-driven test-selection system that lets some GPU CI
workflows run only the tests a PR could affect, instead of the whole suite, while
still satisfying Required status checks.
It currently drives **`modal-torch-latest`** (which runs `tests/unit/v1/` on
[modal.com](https://modal.com) GPUs), but is built to drive more workflows from
one config — see [Adding a workflow](#adding-a-new-workflow).
- [TL;DR](#tldr)
- [Why](#why)
- [Moving parts](#moving-parts)
- [How a decision is made](#how-a-decision-is-made)
- [Driving it (as a contributor)](#driving-it-as-a-contributor)
- [Changing it (as a maintainer)](#changing-it-as-a-maintainer)
- [Security model](#security-model)
- [Failure modes & guarantees](#failure-modes--guarantees)
- [FAQ / troubleshooting](#faq--troubleshooting)
## TL;DR
- On a PR, `ci/tests_fetcher.py` diffs your branch against the base branch, traces
the import graph from your changed files to the impacted tests, and writes the
list to `ci/.test_selection/test_list.txt`.
- The workflow runs pytest on just that list. `push` to `master` and manual runs
always run everything.
- It is **fail-safe**: anything it can't reason about safely → run the *full* suite.
It never silently runs *fewer* tests than reality.
- Preview locally:
```bash
python ci/tests_fetcher.py --base origin/master # what would CI run?
python ci/tests_fetcher.py --base origin/master --explain # ...and why?
```
- Force a full run: put `[test all]` (or `[no filter]`) in a commit message.
## Why
`modal-torch-latest` is a **Required** check, so it must report a status on every
PR — which means we can't use GitHub's path filters (`on.<event>.paths`) to skip
it, because a skipped Required job blocks merges. Instead, the job always runs but
*selects* what to test: a docs-only PR resolves to "no impacted tests" and exits
fast (still green), while a PR touching a leaf module runs only the tests that
import it.
The design is a small, self-contained take on HuggingFace `transformers`'
`utils/tests_fetcher.py`.
## Moving parts
| File | Role |
| --- | --- |
| `.github/workflows/modal-torch-latest.yml` | The workflow: a `collect-tests` job (runs the fetcher) gating a `deploy` job (runs pytest on modal). |
| `ci/tests_fetcher.py` | The selector. AST-parses the repo, builds an import graph, decides `all` / `subset` / `none`, writes the test-list file, emits a job summary. |
| `ci/test_tests_fetcher.py` | Self-tests for the selector (pure stdlib; run in `collect-tests`). |
| `ci/torch_latest.py` | The modal runner. Reads the test-list file and feeds it to pytest. |
| `ci/.test_selection/test_list.txt` | The hand-off artifact (one pytest target per line). Git-ignored. |
### Job flow
```
pull_request_target / push / workflow_dispatch
┌─────────────┴─────────────┐
│ collect-tests │ (no secrets; AST-only)
│ checkout PR head │
│ restore ci/ from base │
│ self-test the fetcher │
│ run tests_fetcher.py │
│ → mode (all|subset|none) │
│ → upload test_list.txt │
└─────────────┬──────────────┘
│ needs:
┌────────────────────────────┐
│ deploy │ (has modal/HF secrets)
│ if mode != none (or manual │
│ / collector failed) │
│ checkout PR head │
│ restore ci/ from base │
│ download test_list.txt │
│ modal run ci.torch_latest │
└────────────────────────────┘
```
`mode` controls `deploy`:
- **`none`** → `deploy` is skipped. The Required status is still satisfied (a
skipped dependent job counts as success here).
- **`subset`** → `deploy` runs pytest on exactly the impacted files.
- **`all`** → `deploy` runs the whole scope (`tests/unit/v1`).
## How a decision is made
`TestSelector.select()` in `ci/tests_fetcher.py` runs these checks in order; the
first that matches wins:
1. **No base ref** (push / manual) → `all`.
2. **Base ref unresolvable** → `all`.
3. **No merge-base** with the base (e.g. shallow clone, unrelated history) → `all`.
A diff here would be wrong, so we never narrow on it.
4. **Commit message tag** `[test all]` / `[no filter]` anywhere on the branch → `all`.
5. **A changed file matches a run-all glob** (`COMMON_RUN_ALL_GLOBS` +
the workflow's `extra_run_all_globs`) → `all`. These are files too central or
too dynamic to narrow safely: CI scripts, build system, `csrc/`, `op_builder/`,
`accelerator/`, shared fixtures (`tests/unit/common.py`, `tests/conftest.py`,
`pytest.ini`), and core runtime hubs (`deepspeed/__init__.py`,
`deepspeed/runtime/engine.py`, `deepspeed/comm/**`, `deepspeed/accelerator/**`, …).
6. **A deleted module is still imported** by a surviving file (a dangling import
the graph can't follow) → `all`. A *clean* deletion (importers removed/updated
in the same PR) does **not** trigger this.
7. Otherwise, **narrow via the import graph** (below). If nothing is impacted →
`none`; if everything is → `all`; else → `subset`.
### The import graph
- Nodes are Python files under the package roots: `deepspeed/**` and the `unit`
test-helper package at `tests/unit/**`.
- An edge `A → B` means "B imports A". The selector walks **backwards** from each
changed file to every test that (transitively) imports it.
- **Opaque hub modules** (`OPAQUE_MODULES`: `deepspeed`, `deepspeed.comm`,
`deepspeed.accelerator`): almost every test imports `unit.common`, which imports
these. Their `__init__.py` files eagerly pull in huge subtrees, so if treated as
normal nodes *any* `deepspeed/**` change would fan out to the whole suite. We
therefore don't expand their `__init__` imports; instead, changes to the hubs
themselves are caught by the run-all globs in step 5.
- **`conftest.py`** changes select every test under that conftest's directory.
- **New test files** are selected directly (they have no importers yet).
### Dynamic edges (`DYNAMIC_EDGES`)
Some dependencies are wired at runtime (monkey-patching, plugin/registry lookup,
JIT-loaded ops, `deepspeed.initialize()`-time `replace_module` injection), so a
test can depend on code it never `import`s. `DYNAMIC_EDGES` is a curated map of
`changed-file glob → extra test-path globs` that patches these blind spots. It is
additive on top of the static graph (and is only consulted if step 5 didn't
already short-circuit to `all`).
## Driving it (as a contributor)
### Preview what CI will run
The fetcher is pure stdlib — no DeepSpeed/torch install needed, just `git`:
```bash
# Selection for your branch vs. the base branch
python ci/tests_fetcher.py --base origin/master
cat ci/.test_selection/test_list.txt
# Explain *why* each test was selected (prints import chains)
python ci/tests_fetcher.py --base origin/master --explain
```
`--explain` output looks like:
```
deepspeed/shared.py impacts:
tests/unit/v1/test_shared.py <- deepspeed/shared.py
tests/unit/v1/moe/test_moe.py <- tests/unit/v1/moe/test_moe.py <- deepspeed/shared.py
```
### Escape hatches
- **Force the full suite for a push:** include `[test all]` (or `[no filter]`)
anywhere in a commit message on the branch.
- **Touch an infra file:** any change to a run-all glob runs everything.
- **Found a missed test?** It's likely a runtime/dynamic dependency the static
graph can't see — add a `DYNAMIC_EDGES` entry (see below) and/or report it.
## Changing it (as a maintainer)
All knobs live in `ci/tests_fetcher.py`. After any change, run the self-tests:
```bash
python ci/test_tests_fetcher.py # standalone
# or: pytest ci/test_tests_fetcher.py
```
### Add a run-all trigger
Add a glob to `TestSelector.COMMON_RUN_ALL_GLOBS` (shared across workflows) or to
a specific workflow's `extra_run_all_globs`. Globs match repo-root-relative POSIX
paths; `dir/**` matches everything under `dir/`.
### Add a dynamic edge
Add to `TestSelector.DYNAMIC_EDGES`:
```python
DYNAMIC_EDGES = {
# changed-file glob : test-path globs to pull in when it changes
"deepspeed/module_inject/**": ("tests/unit/v1/moe/**",),
}
```
Keep entries conservative: too broad just wastes GPU time; too narrow misses
coverage. Prefer fixing it here over widening a run-all glob when only a slice of
tests is truly affected.
### Mark a module opaque
If a new universal hub starts fanning every change out to the whole suite, add it
to `OPAQUE_MODULES` and (usually) add the hub file itself to the run-all globs so
real changes to it still run everything.
### Add a new workflow
The engine is config-driven (`WORKFLOWS` registry of `WorkflowConfig`). To drive
another workflow:
1. Add an entry:
```python
WORKFLOWS["my-workflow"] = WorkflowConfig(
name="my-workflow",
test_scopes=("tests/unit/v2",), # dirs this workflow runs
extra_run_all_globs=(".github/workflows/my-workflow.yml",),
)
```
2. In that workflow's YAML, mirror `modal-torch-latest.yml`'s `collect-tests` job
and call the fetcher with `--workflow my-workflow`.
3. Point the runner at `ci/.test_selection/test_list.txt`.
4. Add coverage to `ci/test_tests_fetcher.py` if the scope/behavior differs.
### Add a self-test
`ci/test_tests_fetcher.py` builds throwaway git repos (`TmpRepo`) from a synthetic
`BASELINE` tree and asserts the resulting `mode`/`tests`. Add a `test_*` function
for any new behavior; it runs both standalone and under pytest, and executes in
the `collect-tests` CI job, so a broken selector is caught before it mis-picks
tests.
## Security model
The workflow triggers on **`pull_request_target`**, so it runs in the base repo's
context and the `deploy` job has the modal/HF **secrets** in scope. To keep PRs
from abusing that:
- `collect-tests` holds **no secrets** and only **AST-parses** (never executes)
the PR tree.
- **Both jobs restore `ci/` from the base branch** before using it:
- `collect-tests` runs the **base** selector + self-tests. This job decides
whether the Required `deploy` runs, so it must not trust the PR's own
`ci/tests_fetcher.py` — otherwise a PR could rewrite it to emit `mode=none`
and skip CI while still going green. The diff is computed from git history, so
a PR's `ci/` changes still appear in the diff and (via the base selector's
`ci/**` run-all glob) force a full run.
- `deploy` runs the **base** orchestration (which drives `modal run` with the
secrets), so a PR can't repoint it at the secrets to exfiltrate them.
In both jobs the PR's `deepspeed/` + `tests/` are what gets parsed/tested.
- The `pull_request_target` trigger types are `review_requested`,
`ready_for_review`, and `synchronize`. Because `synchronize` re-runs on every
push to an open PR (not just on a maintainer action), the maintainer review is a
mitigation, **not** an absolute barrier — the base-`ci/` restore above is the
primary protection for the secrets.
> **Consequence:** changes to `ci/*` (including `tests_fetcher.py` itself) take
> effect under `pull_request_target` only after they're **merged**. Validate
> `ci/*` changes via a `pull_request`-triggered run or the `modal` CLI locally.
>
> **Bootstrap:** when the base branch has no selector yet (the PR that introduces
> it), the restored base `ci/` won't contain `tests_fetcher.py`; `collect-tests`
> detects this and falls back to running the full suite.
## Failure modes & guarantees
The selector is built to **fail safe — to `all`, never to `none`**:
- Missing/unresolvable base, no merge-base, a parse error on a file, or **any
unexpected exception** in the selector → it falls back to the full suite (the
top-level handler in `main()` logs the traceback and sets `mode=all`).
- If `collect-tests` fails entirely, `deploy` still runs (and the workflow has an
explicit "fail if selection failed" guard) so a broken collector can't let a PR
pass without testing.
- The only way to run *fewer* tests is a clean, well-understood narrow decision;
every uncertain case widens to everything.
Every run writes a summary to the GitHub job summary (mode, reason, and the
selected files) so the decision is auditable from the Actions UI.
## FAQ / troubleshooting
**My PR shows `mode=none` but I changed code.**
Either the change is non-Python / out of the workflow's scope, or your edits
aren't committed (the fetcher diffs *committed* history, `merge-base..HEAD`).
**A relevant test wasn't selected.**
Likely a runtime/dynamic dependency. Confirm with `--explain`, then add a
`DYNAMIC_EDGES` entry. As a stop-gap, push with `[test all]`.
**Everything runs even for a tiny change.**
You touched a run-all glob (CI/build/shared fixture/core runtime), or a hub module
fanned out. Check the job summary's `reason`. If a hub over-fans, consider
`OPAQUE_MODULES`.
**It ran the full suite and the summary says "shallow clone?" / "no merge-base".**
The runner didn't have enough history to compute the diff. `collect-tests` uses
`fetch-depth: 0`; if you changed that, restore full history for the base.
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# Test-selection — implementation state / handoff
Working notes for the diff-based CI test-selection system, so the work can be
resumed without re-deriving context. For *how the system works / how to use it*,
see [`TEST_SELECTION.md`](TEST_SELECTION.md); this file is only about the **state
of the implementation**.
_Last updated: 2026-06-18._
## Status: complete & locally verified; in review on PR #8077
The system is implemented end-to-end and passes local checks. Opened as
[deepspeedai/DeepSpeed#8077](https://github.com/deepspeedai/DeepSpeed/pull/8077)
(scoped to `modal-torch-latest` first; replicate to other workflows if accepted).
It has **not** yet run a live `subset`/`deploy` on modal, so the first real runs
should be watched.
### Review fixes applied (Codex bot, PR #8077)
- **P1 — run the selector from trusted code.** `collect-tests` now restores `ci/`
from the base branch before running the selector + self-tests, so a PR can't
rewrite `tests_fetcher.py` to emit `mode=none` and skip the Required check. (A
PR's `ci/` changes still show in the diff and force a full run via `ci/**`.)
Includes a bootstrap fallback: if base has no `tests_fetcher.py` yet, run all.
- **P1 — hidden-file artifact.** `actions/upload-artifact@v4` skips dot-prefixed
paths by default; `ci/.test_selection/` is one. Added `include-hidden-files:
true` so `deploy`'s download doesn't fail.
> Reminder: under `pull_request_target`, `deploy` restores `ci/` from the base
> branch, so changes under `ci/*` (the fetcher included) only take effect once
> **merged**. To validate the live behavior before merge, trigger via a
> `pull_request`-based run or the `modal` CLI.
## What was built
A diff-driven selector that, on a PR, runs only the `tests/unit/v1` tests impacted
by the changed files, with a fail-safe fallback to the full suite. Driven by the
`modal-torch-latest` workflow.
### Files
| File | State | Notes |
| --- | --- | --- |
| `ci/tests_fetcher.py` | new/rewritten | Config-driven `TestSelector` class; import-graph selector. |
| `ci/test_tests_fetcher.py` | new | 12 stdlib self-tests over synthetic git repos. |
| `ci/torch_latest.py` | modified | Reads `DS_TEST_LIST_FILE`, runs pytest on the selected targets (falls back to full `tests/unit/v1`). |
| `.github/workflows/modal-torch-latest.yml` | rewritten | `collect-tests` (fetcher) gates `deploy` (modal). |
| `.github/workflows/TEST_SELECTION.md` | new | Full design + usage doc. |
| `.github/workflows/TEST_SELECTION_STATE.md` | new | This file. |
| `CONTRIBUTING.md` | modified | "Diff-based CI test selection" section + link. |
| `.gitignore` | modified | Ignores `ci/.test_selection/`. |
## Key design decisions (and why)
- **Always-runs Required job, selects instead of skips.** `modal-torch-latest` is a
Required check, so path filters can't skip it. `collect-tests` decides
`all|subset|none`; `none` skips `deploy` while still satisfying the Required
status.
- **`deploy` tests PR code but restores `ci/` from base.** Selection must reflect
PR code, but the orchestration that holds modal/HF secrets must not be
PR-controlled. (Security trade-off accepted earlier in the work.)
- **Opaque hub modules + curated run-all globs.** `deepspeed`, `deepspeed.comm`,
`deepspeed.accelerator` are opaque in the graph to stop universal fan-out; core
hubs (`deepspeed/__init__.py`, `runtime/engine.py`, `comm/**`, `accelerator/**`,
…) instead live in the run-all globs. (Coarseness fix accepted earlier.)
- **Fail-safe to `all`, never `none`.** Every uncertain case (no base, no
merge-base, parse error, unexpected exception) widens to the full suite.
### Improvements implemented in the latest pass (items #3#11)
- **#3** Degrade to `all` on any selector error (top-level guard in `main()`).
- **#4** `DYNAMIC_EDGES` map for runtime/dynamic deps the AST can't see
(seeded: `deepspeed/module_inject/** → tests/unit/v1/moe/**`).
- **#5** Deleted `.py` only forces `all` when a *surviving* file still imports it
(dangling import); clean deletions no longer over-trigger.
- **#6** GitHub job summary (`$GITHUB_STEP_SUMMARY`) with mode/reason/file list;
`reason` also on `$GITHUB_OUTPUT`.
- **#7** `--explain` prints import chains from changed files to selected tests.
- **#8** Escape hatches documented in `CONTRIBUTING.md` + `TEST_SELECTION.md`.
- **#9** Self-tests in `ci/test_tests_fetcher.py`, also run in `collect-tests`.
- **#10** Robust merge-base: explicit check, `all` if missing; workflow keeps
`fetch-depth: 0` with rationale.
- **#11** Multi-workflow config: `WORKFLOWS` registry + `WorkflowConfig` +
`--workflow` flag.
## Verification done locally
- `python ci/tests_fetcher.py` self-tests: **12/12 pass**
(narrowing, shared importers, core/comm/fixture run-all, commit tag, docs-only →
none, new test file, clean vs. dangling delete, dynamic edge, missing base).
- Real-repo smoke: `--base`, `--explain`, `--workflow` validation all behave.
- Confirmed `$GITHUB_OUTPUT` + `$GITHUB_STEP_SUMMARY` emission and the #3
error-fallback path directly.
- No linter errors.
Re-run the core check any time:
```bash
python ci/test_tests_fetcher.py
python ci/tests_fetcher.py --base origin/master --explain
```
## Open items / possible follow-ups
- **Live validation:** watch the first real PR; confirm `collect-tests` artifact
hand-off and `deploy` gating behave on Actions + modal.
- **`DYNAMIC_EDGES` is minimal.** Only one seeded edge. Expand as blind spots are
found (tests that fail on `master`'s full run but weren't selected on their PR
are the signal).
- **Single workflow wired.** The engine is config-driven (#11) but only
`modal-torch-latest` is registered/wired. Other GPU workflows could adopt it by
adding a `WorkflowConfig` and mirroring the `collect-tests` job.
- **Run-all glob tuning.** The core-hub list is a conservative first cut; revisit
if it proves too coarse (full runs on minor edits) or too narrow (missed impact).
- **No telemetry.** Consider logging selection stats over time to tune
globs/opaque-modules against real false-positive/negative rates.
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name: amd-mi200
on:
workflow_dispatch:
pull_request:
paths:
- '.github/workflows/amd-mi200.yml'
- 'requirements/**'
schedule:
- cron: "0 0 * * *"
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
permissions:
contents: read
issues: write
jobs:
amd-tests:
name: amd-mi200 / AMD MI200 tests
# The type of runner that the job will run on
runs-on: [self-hosted, amd, mi200]
# Steps represent a sequence of tasks that will be executed as part of the job
steps:
# Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it
- uses: actions/checkout@v4
- id: setup-venv
uses: ./.github/workflows/setup-venv
- name: Install pytorch
run: |
pip install -U --cache-dir $TORCH_CACHE torch torchvision --index-url https://download.pytorch.org/whl/rocm6.0
python -c "import torch; print('torch:', torch.__version__, torch)"
python -c "import torch; print('CUDA available:', torch.cuda.is_available())"
- name: Install transformers
run: |
git clone https://github.com/huggingface/transformers
cd transformers
# if needed switch to the last known good SHA until transformers@master is fixed
# git checkout 1cc453d33
git rev-parse --short HEAD
pip install .
- name: Install (ROCm) apex
run: |
git clone https://github.com/ROCmSoftwarePlatform/apex.git
CURRENT_VER=$(git rev-parse HEAD)
INSTALLED_VER=$(cat /blob/amd-apex/.venv_installed_version)
if [[ "$CURRENT_VER" != "$INSTALLED_VER" ]]; then
pip install -v --disable-pip-version-check --no-cache-dir --no-build-isolation --config-settings="--global-option=--cpp_ext" --config-settings="--global-option=--cuda_ext" --target=/blob/amd-apex/ --upgrade .
git rev-parse HEAD > /blob/amd-apex/.venv_installed_version
fi
echo PYTHONPATH=$PYTHONPATH:/blob/amd-apex/ >> $GITHUB_ENV
# Runs a set of commands using the runners shell
- name: Install deepspeed
run: |
pip install .[dev,1bit,autotuning]
#python -c "from deepspeed.env_report import cli_main; cli_main()"
ds_report
- name: Python environment
run: |
pip list
# Runs a set of commands using the runners shell
- name: Unit tests
run: |
unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch
cd tests
pytest $PYTEST_OPTS -n 4 --verbose unit/
pytest $PYTEST_OPTS -m 'sequential' unit/
- name: Open GitHub issue if nightly CI fails
if: ${{ failure() && (github.event_name == 'schedule') }}
uses: JasonEtco/create-an-issue@v2
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
with:
filename: .github/ISSUE_TEMPLATE/ci_failure_report.md
update_existing: true
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################################################################################
# DeepSpeed CI - AWS L40S GPU Tests (HuggingFace Accelerate Integration)
#
# Runs the same tests as modal-accelerate.yml but on AWS self-hosted runners.
# Tests DeepSpeed integration with HuggingFace Accelerate library.
# Uses 4x NVIDIA L40S GPUs on g6e.12xlarge instances.
################################################################################
name: aws-accelerate
on:
workflow_dispatch:
push:
branches:
- master
pull_request:
branches:
- master
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
check-paths:
name: aws-accelerate / check paths
runs-on: ubuntu-latest
outputs:
should_run: ${{ steps.filter.outputs.run_tests }}
steps:
- uses: actions/checkout@v4
- uses: dorny/paths-filter@v3
id: filter
with:
filters: |
run_tests:
- '**'
- '!docs/**'
- '!blogs/**'
- '!deepspeed/inference/v2/**'
- '!tests/unit/inference/v2/**'
accelerate-tests:
name: aws-accelerate / accelerate integration tests
needs: check-paths
if: needs.check-paths.outputs.should_run == 'true'
runs-on: [self-hosted, gpu-ci, gpu-l40s, l40s-1gpu, aws]
timeout-minutes: 60
container:
image: nvidia/cuda:12.6.3-devel-ubuntu22.04
options: --gpus all --shm-size "32G"
env:
TORCH_VER: "2.7"
CUDA_VER: "12.6"
steps:
- name: Install system dependencies
run: |
apt-get update && apt-get install -y git git-lfs libaio-dev python3 python3-pip
git lfs install
ln -sf /usr/bin/python3 /usr/bin/python
- name: Checkout repository
uses: actions/checkout@v4
with:
lfs: true
- name: Install PyTorch
run: |
pip install torch==2.7.1 torchvision==0.22.1 torchaudio==2.7.1 --index-url https://download.pytorch.org/whl/cu126
- name: Install Python dependencies
run: |
pip install --upgrade pip
pip install -r requirements/requirements.txt
pip install -r requirements/requirements-dev.txt
pip install datasets
- name: Check environment
run: |
echo "=== GPU Information ==="
nvidia-smi
echo ""
echo "=== CUDA Version ==="
nvcc --version
echo ""
echo "=== Python/PyTorch Info ==="
python --version
python -c "import torch; print(f'PyTorch: {torch.__version__}')"
python -c "import torch; print(f'CUDA available: {torch.cuda.is_available()}')"
python -c "import torch; print(f'CUDA devices: {torch.cuda.device_count()}')"
python -c "import torch; print(f'BF16 support: {torch.cuda.is_bf16_supported()}')"
- name: Install DeepSpeed
run: |
# Initialize CUDA before install so setup.py can detect NCCL version
python -c "import torch; torch.cuda.init(); print(f'NCCL version: {torch.cuda.nccl.version()}')"
# Use --no-build-isolation so setup.py can access pre-installed PyTorch
pip install --no-build-isolation .
ds_report
# Debug: Check captured torch_info values
python -c "from deepspeed.git_version_info import torch_info; print(f'torch_info: {torch_info}')"
- name: Clone and install Accelerate
run: |
git clone https://github.com/huggingface/accelerate
pip install "./accelerate[testing]"
- name: Run Accelerate DeepSpeed tests
run: |
pytest --verbose ./accelerate/tests/deepspeed
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@@ -0,0 +1,380 @@
################################################################################
# DeepSpeed CI - AWS L40S GPU Full Tests (PyTorch Latest)
#
# Runs the full DeepSpeed unit test suite on AWS self-hosted runners.
# Prefers 4x NVIDIA L40S GPUs on g6e.12xlarge instances, with AWS-side
# fallback to 8x A100 nodes when L40S capacity is unavailable.
#
# This workflow runs:
# - Parallel tests with pytest-xdist (-n 8)
# - Sequential tests marked with @pytest.mark.sequential
# - Nightly schedule: skips if no new commits since last successful run
################################################################################
name: aws-torch-latest-full
on:
schedule:
- cron: '0 8 * * *' # Daily at 08:00 UTC (midnight PST)
workflow_dispatch:
inputs:
torch_preset:
description: PyTorch preset to install for manual runs
required: false
default: '2.10.0-cu126'
type: choice
options:
- '2.7.1-cu126'
- '2.8.0-cu126'
- '2.9.1-cu126'
- '2.10.0-cu126'
- '2.11.0-cu126'
transformers_version:
description: Hugging Face Transformers PyPI package version to install
required: false
default: '4.50.0'
type: string
transformers_source:
description: Hugging Face Transformers source for manual runs
required: false
default: 'git'
type: choice
options:
- 'pypi'
- 'git'
transformers_ref:
description: Hugging Face Transformers git ref to install when source is git
required: false
default: 'main'
type: string
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
check-changes:
name: Check for new commits
runs-on: ubuntu-latest
if: github.event_name == 'schedule'
outputs:
has_changes: ${{ steps.check.outputs.has_changes }}
steps:
- name: Check for commits since last successful run
id: check
env:
GH_TOKEN: ${{ github.token }}
run: |
default_branch="${{ github.event.repository.default_branch }}"
last_sha=$(gh api \
"repos/${{ github.repository }}/actions/workflows/aws-torch-latest-full.yml/runs?status=success&event=schedule&branch=${default_branch}&per_page=1" \
--jq '.workflow_runs[0].head_sha // empty')
current_sha="${{ github.sha }}"
if [ -z "$last_sha" ]; then
echo "No previous successful run found - running tests"
echo "has_changes=true" >> "$GITHUB_OUTPUT"
elif [ "$last_sha" = "$current_sha" ]; then
echo "No new commits since last successful run ($last_sha) - skipping"
echo "has_changes=false" >> "$GITHUB_OUTPUT"
else
echo "New commits detected: $last_sha -> $current_sha - running tests"
echo "has_changes=true" >> "$GITHUB_OUTPUT"
fi
unit-tests:
name: Unit Tests (Full)
needs: [check-changes]
if: |
!cancelled() &&
(github.event_name == 'workflow_dispatch' || needs.check-changes.outputs.has_changes == 'true')
runs-on: [self-hosted, gpu-ci, gpu-l40s, l40s-4gpu, aws]
timeout-minutes: 180
container:
image: nvidia/cuda:12.6.3-devel-ubuntu22.04
# Mount /mnt/aio for async I/O tests (O_DIRECT requires native filesystem, not overlayfs)
options: --gpus all --shm-size "32G" -v /mnt/aio:/mnt/aio
env:
DEFAULT_TORCH_PRESET: '2.10.0-cu126'
DEFAULT_TRANSFORMERS_SOURCE: 'git'
DEFAULT_TRANSFORMERS_VERSION: '4.50.0'
DEFAULT_TRANSFORMERS_REF: 'main'
CUTLASS_PATH: /opt/cutlass
# Disable reuse_dist_env to prevent pool worker cleanup hangs in full test runs
DS_DISABLE_REUSE_DIST_ENV: '1'
steps:
- name: Install system dependencies
run: |
apt-get update && apt-get install -y git git-lfs libaio-dev pdsh python3 python3-pip
git lfs install
ln -sf /usr/bin/python3 /usr/bin/python
- name: Checkout repository
uses: actions/checkout@v4
with:
lfs: true
- name: Resolve dependency inputs
env:
GITHUB_EVENT_NAME: ${{ github.event_name }}
MANUAL_TORCH_PRESET: ${{ github.event.inputs.torch_preset || '' }}
MANUAL_TRANSFORMERS_SOURCE: ${{ github.event.inputs.transformers_source || '' }}
MANUAL_TRANSFORMERS_VERSION: ${{ github.event.inputs.transformers_version || '' }}
MANUAL_TRANSFORMERS_REF: ${{ github.event.inputs.transformers_ref || '' }}
run: |
if [ "$GITHUB_EVENT_NAME" = 'workflow_dispatch' ] && [ -n "$MANUAL_TORCH_PRESET" ]; then
selected_preset="$MANUAL_TORCH_PRESET"
else
selected_preset="$DEFAULT_TORCH_PRESET"
fi
if [ "$GITHUB_EVENT_NAME" = 'workflow_dispatch' ] && [ -n "$MANUAL_TRANSFORMERS_SOURCE" ]; then
transformers_source="$MANUAL_TRANSFORMERS_SOURCE"
else
transformers_source="$DEFAULT_TRANSFORMERS_SOURCE"
fi
if [ "$GITHUB_EVENT_NAME" = 'workflow_dispatch' ] && [ -n "$MANUAL_TRANSFORMERS_VERSION" ]; then
transformers_version="$MANUAL_TRANSFORMERS_VERSION"
else
transformers_version="$DEFAULT_TRANSFORMERS_VERSION"
fi
if [ "$GITHUB_EVENT_NAME" = 'workflow_dispatch' ] && [ -n "$MANUAL_TRANSFORMERS_REF" ]; then
transformers_ref="$MANUAL_TRANSFORMERS_REF"
else
transformers_ref="$DEFAULT_TRANSFORMERS_REF"
fi
if [ "$transformers_source" = 'git' ] && [ -z "$transformers_ref" ]; then
transformers_ref='main'
fi
case "$selected_preset" in
'2.7.1-cu126')
torch_install_version='2.7.1'
torchvision_install_version='0.22.1'
torchaudio_install_version='2.7.1'
torch_test_version='2.7'
cuda_test_version='12.6'
pytorch_index_url='https://download.pytorch.org/whl/cu126'
;;
'2.8.0-cu126')
torch_install_version='2.8.0'
torchvision_install_version='0.23.0'
torchaudio_install_version='2.8.0'
torch_test_version='2.8'
cuda_test_version='12.6'
pytorch_index_url='https://download.pytorch.org/whl/cu126'
;;
'2.9.1-cu126')
torch_install_version='2.9.1'
torchvision_install_version='0.24.1'
torchaudio_install_version='2.9.1'
torch_test_version='2.9'
cuda_test_version='12.6'
pytorch_index_url='https://download.pytorch.org/whl/cu126'
;;
'2.10.0-cu126')
torch_install_version='2.10.0'
torchvision_install_version='0.25.0'
torchaudio_install_version='2.10.0'
torch_test_version='2.10'
cuda_test_version='12.6'
pytorch_index_url='https://download.pytorch.org/whl/cu126'
;;
'2.11.0-cu126')
torch_install_version='2.11.0'
torchvision_install_version='0.26.0'
torchaudio_install_version='2.11.0'
torch_test_version='2.11'
cuda_test_version='12.6'
pytorch_index_url='https://download.pytorch.org/whl/cu126'
;;
*)
echo "Unsupported torch_preset: $selected_preset" >&2
exit 1
;;
esac
{
echo "SELECTED_TORCH_PRESET=$selected_preset"
echo "TORCH_INSTALL_VERSION=$torch_install_version"
echo "TORCHVISION_INSTALL_VERSION=$torchvision_install_version"
echo "TORCHAUDIO_INSTALL_VERSION=$torchaudio_install_version"
echo "TORCH_TEST_VERSION=$torch_test_version"
echo "CUDA_TEST_VERSION=$cuda_test_version"
echo "PYTORCH_INDEX_URL=$pytorch_index_url"
echo "TRANSFORMERS_SOURCE=$transformers_source"
echo "TRANSFORMERS_VERSION=$transformers_version"
echo "TRANSFORMERS_REF=$transformers_ref"
} >> "$GITHUB_ENV"
echo "Selected PyTorch preset: $selected_preset"
echo "Resolved install tuple: torch==$torch_install_version torchvision==$torchvision_install_version torchaudio==$torchaudio_install_version"
echo "Resolved test expectations: torch=$torch_test_version cuda=$cuda_test_version"
echo "Resolved PyTorch index: $pytorch_index_url"
echo "Resolved Transformers source: $transformers_source"
echo "Resolved Transformers version: $transformers_version"
echo "Resolved Transformers ref: $transformers_ref"
- name: Install CUTLASS
run: |
git clone --depth 1 --branch v3.5.1 https://github.com/NVIDIA/cutlass.git /opt/cutlass
echo "CUTLASS installed at /opt/cutlass"
ls -la /opt/cutlass/include/ | head -10
- name: Install PyTorch
run: |
pip install \
torch=="$TORCH_INSTALL_VERSION" \
torchvision=="$TORCHVISION_INSTALL_VERSION" \
torchaudio=="$TORCHAUDIO_INSTALL_VERSION" \
--index-url "$PYTORCH_INDEX_URL"
- name: Install Transformers
run: |
case "$TRANSFORMERS_SOURCE" in
'pypi')
pip install "transformers==$TRANSFORMERS_VERSION"
;;
'git')
git clone --filter=blob:none https://github.com/huggingface/transformers /tmp/transformers
cd /tmp/transformers
git checkout "$TRANSFORMERS_REF"
resolved_ref="$(git rev-parse HEAD)"
echo "TRANSFORMERS_RESOLVED_REF=$resolved_ref" >> "$GITHUB_ENV"
echo "Resolved Transformers git ref: $resolved_ref"
pip install .
;;
*)
echo "Unsupported TRANSFORMERS_SOURCE: $TRANSFORMERS_SOURCE" >&2
exit 1
;;
esac
python -c "import transformers; print('transformers:', transformers.__version__, transformers)"
- name: Install Python dependencies
run: |
pip install --upgrade pip
pip install -r requirements/requirements.txt
pip install -r requirements/requirements-dev.txt
pip install -r requirements/requirements-deepcompile.txt
pip install pytest-timeout pytest-instafail
- name: Check environment
run: |
echo "=== Selected PyTorch Preset ==="
echo "Preset: $SELECTED_TORCH_PRESET"
echo "Install tuple: torch==$TORCH_INSTALL_VERSION torchvision==$TORCHVISION_INSTALL_VERSION torchaudio==$TORCHAUDIO_INSTALL_VERSION"
echo "PyTorch index URL: $PYTORCH_INDEX_URL"
echo "Expected test versions: torch=$TORCH_TEST_VERSION cuda=$CUDA_TEST_VERSION"
echo "Transformers source: $TRANSFORMERS_SOURCE"
echo "Transformers version: $TRANSFORMERS_VERSION"
echo "Transformers ref: $TRANSFORMERS_REF"
echo "Transformers resolved ref: ${TRANSFORMERS_RESOLVED_REF:-}"
echo ""
echo "=== GPU Information ==="
nvidia-smi
echo ""
echo "=== CUDA Version ==="
nvcc --version
echo ""
echo "=== Python/PyTorch Info ==="
python --version
python -c "import torch; print(f'PyTorch: {torch.__version__}')"
python -c "import torch; print(f'CUDA available: {torch.cuda.is_available()}')"
python -c "import torch; print(f'CUDA devices: {torch.cuda.device_count()}')"
python -c "import torch; print(f'BF16 support: {torch.cuda.is_bf16_supported()}')"
echo ""
echo "=== CUTLASS ==="
echo "CUTLASS_PATH: $CUTLASS_PATH"
ls -la "$CUTLASS_PATH"/include/ | head -5
- name: Detect GPU architecture
run: |
python - <<'PY'
import os
import torch
torch.cuda.init()
major, minor = torch.cuda.get_device_capability(0)
arch = f"{major}.{minor}"
gpu_count = torch.cuda.device_count()
gpu_name = torch.cuda.get_device_name(0)
with open(os.environ["GITHUB_ENV"], "a", encoding="utf-8") as env_file:
env_file.write(f"TORCH_CUDA_ARCH_LIST={arch}\n")
env_file.write(f"GPU_COUNT={gpu_count}\n")
print(f"Detected GPU: {gpu_name}")
print(f"Detected compute capability: {arch}")
print(f"Detected GPU count: {gpu_count}")
PY
- name: Install DeepSpeed
run: |
echo "Using TORCH_CUDA_ARCH_LIST=$TORCH_CUDA_ARCH_LIST"
# Initialize CUDA before install so setup.py can detect NCCL version
python -c "import torch; torch.cuda.init(); print(f'NCCL version: {torch.cuda.nccl.version()}')"
# Use --no-build-isolation so setup.py can access pre-installed PyTorch
pip install --no-build-isolation .[dev,1bit,autotuning,deepcompile]
ds_report
- name: Reinstall selected Transformers
run: |
case "$TRANSFORMERS_SOURCE" in
'pypi')
pip install --no-deps --force-reinstall "transformers==$TRANSFORMERS_VERSION"
;;
'git')
cd /tmp/transformers
pip install --no-deps --force-reinstall .
;;
*)
echo "Unsupported TRANSFORMERS_SOURCE: $TRANSFORMERS_SOURCE" >&2
exit 1
;;
esac
python -c "import transformers; print('transformers:', transformers.__version__, transformers)"
- name: Python environment
run: |
pip list
- name: Unit tests (parallel)
run: |
echo "Running parallel tests with TORCH_CUDA_ARCH_LIST=$TORCH_CUDA_ARCH_LIST on $GPU_COUNT GPUs"
cd tests
# Skip tests requiring unavailable hardware or known issues:
# - nvme checkpointing: no nvme device
# - GDS tests: no GPUDirect Storage support
# - launcher user_args: pdsh requires SSH server
# - zenflow: Stage 3 tests have pre-existing bugs + CUDA/fork issues
rm -rf /mnt/aio/pytest
pytest --instafail --timeout 600 --forked -n 8 --basetemp=/mnt/aio/pytest unit/ \
--ignore=unit/runtime/zero/test_nvme_checkpointing.py \
--ignore=unit/ops/aio/test_gds.py \
--ignore=unit/launcher/test_user_args.py \
--ignore=unit/runtime/zenflow \
--ignore=unit/ops/adam/test_zf_torch_adam.py \
--torch_ver="$TORCH_TEST_VERSION" --cuda_ver="$CUDA_TEST_VERSION"
- name: Unit tests (sequential)
run: |
echo "Running sequential tests with TORCH_CUDA_ARCH_LIST=$TORCH_CUDA_ARCH_LIST on $GPU_COUNT GPUs"
cd tests
rm -rf /mnt/aio/pytest
pytest --instafail --timeout 600 -m 'sequential' --basetemp=/mnt/aio/pytest unit/ \
--ignore=unit/runtime/zero/test_nvme_checkpointing.py \
--ignore=unit/ops/aio/test_gds.py \
--ignore=unit/launcher/test_user_args.py \
--ignore=unit/runtime/zenflow \
--ignore=unit/ops/adam/test_zf_torch_adam.py \
--ignore=unit/ops/deepspeed4science/test_DS4Sci_EvoformerAttention.py \
--torch_ver="$TORCH_TEST_VERSION" --cuda_ver="$CUDA_TEST_VERSION"
+113
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################################################################################
# DeepSpeed CI - AWS L40S GPU Tests (PyTorch Latest)
#
# Runs the same tests as modal-torch-latest.yml but on AWS self-hosted runners.
# Uses 4x NVIDIA L40S GPUs on g6e.12xlarge instances.
################################################################################
name: aws-torch-latest
on:
workflow_dispatch:
push:
branches:
- master
pull_request:
branches:
- master
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
check-paths:
name: aws-torch-latest / check paths
runs-on: ubuntu-latest
outputs:
should_run: ${{ steps.filter.outputs.run_tests }}
steps:
- uses: actions/checkout@v4
- uses: dorny/paths-filter@v3
id: filter
with:
filters: |
run_tests:
- '**'
- '!docs/**'
- '!blogs/**'
- '!deepspeed/inference/v2/**'
- '!tests/unit/inference/v2/**'
unit-tests:
name: aws-torch-latest / unit tests (v1)
needs: check-paths
if: needs.check-paths.outputs.should_run == 'true'
runs-on: [self-hosted, gpu-ci, gpu-l40s, l40s-4gpu, aws]
timeout-minutes: 60
container:
image: nvidia/cuda:12.6.3-devel-ubuntu22.04
options: --gpus all --shm-size "32G"
env:
TORCH_VER: "2.7"
CUDA_VER: "12.6"
steps:
- name: Install system dependencies
run: |
apt-get update && apt-get install -y git git-lfs libaio-dev python3 python3-pip
git lfs install
ln -sf /usr/bin/python3 /usr/bin/python
- name: Checkout repository
uses: actions/checkout@v4
with:
lfs: true
- name: Install PyTorch
run: |
pip install torch==2.7.1 torchvision==0.22.1 torchaudio==2.7.1 --index-url https://download.pytorch.org/whl/cu126
- name: Install Python dependencies
run: |
pip install --upgrade pip
pip install -r requirements/requirements.txt
pip install -r requirements/requirements-dev.txt
pip install -r requirements/requirements-deepcompile.txt
- name: Check environment
run: |
echo "=== GPU Information ==="
nvidia-smi
echo ""
echo "=== CUDA Version ==="
nvcc --version
echo ""
echo "=== Python/PyTorch Info ==="
python --version
python -c "import torch; print(f'PyTorch: {torch.__version__}')"
python -c "import torch; print(f'CUDA available: {torch.cuda.is_available()}')"
python -c "import torch; print(f'CUDA devices: {torch.cuda.device_count()}')"
python -c "import torch; print(f'BF16 support: {torch.cuda.is_bf16_supported()}')"
- name: Install DeepSpeed
run: |
# Initialize CUDA before install so setup.py can detect NCCL version
python -c "import torch; torch.cuda.init(); print(f'NCCL version: {torch.cuda.nccl.version()}')"
# Use --no-build-isolation so setup.py can access pre-installed PyTorch
pip install --no-build-isolation .
ds_report
# Debug: Check captured torch_info values
python -c "from deepspeed.git_version_info import torch_info; print(f'torch_info: {torch_info}')"
- name: Run unit tests
run: |
pytest -n 4 --forked --verbose tests/unit/v1/ --torch_ver=${{ env.TORCH_VER }} --cuda_ver=${{ env.CUDA_VER }}
- name: Run sequential unit tests
run: |
pytest --verbose -m 'sequential' tests/unit/v1/ --torch_ver=${{ env.TORCH_VER }} --cuda_ver=${{ env.CUDA_VER }}
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@@ -0,0 +1,243 @@
name: cpu-torch-latest
on:
workflow_dispatch:
inputs:
torch_preset:
description: PyTorch CPU preset to install for manual runs
required: false
default: '2.10.0-cpu'
type: choice
options:
- '2.7.1-cpu'
- '2.8.0-cpu'
- '2.9.1-cpu'
- '2.10.0-cpu'
transformers_version:
description: Hugging Face Transformers PyPI package version to install
required: false
default: '4.50.0'
type: string
transformers_source:
description: Hugging Face Transformers source for manual runs
required: false
default: 'git'
type: choice
options:
- 'pypi'
- 'git'
transformers_ref:
description: Hugging Face Transformers git ref to install when source is git
required: false
default: 'main'
type: string
pull_request:
merge_group:
branches: [ master ]
schedule:
- cron: "0 0 * * *"
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
check-paths:
name: cpu-torch-latest / check paths
runs-on: ubuntu-latest
permissions:
contents: read
pull-requests: read
outputs:
should_run: ${{ steps.non_pr.outputs.should_run || steps.filter.outputs.run_tests }}
steps:
- id: non_pr
if: github.event_name != 'pull_request'
run: echo "should_run=true" >> "$GITHUB_OUTPUT"
- uses: actions/checkout@v4
if: github.event_name == 'pull_request'
- uses: dorny/paths-filter@v3
id: filter
if: github.event_name == 'pull_request'
with:
predicate-quantifier: every
filters: |
run_tests:
- '**'
- '!docs/**'
- '!blogs/**'
- '!deepspeed/inference/v2/**'
- '!tests/unit/inference/v2/**'
unit-tests:
name: cpu-torch-latest / unit tests
needs: check-paths
if: ${{ !cancelled() && (needs.check-paths.result != 'success' || needs.check-paths.outputs.should_run == 'true') }}
runs-on: ubuntu-24.04
env:
DEFAULT_TORCH_PRESET: '2.10.0-cpu'
DEFAULT_TRANSFORMERS_SOURCE: 'git'
DEFAULT_TRANSFORMERS_VERSION: '4.50.0'
DEFAULT_TRANSFORMERS_REF: 'main'
steps:
- name: Fail if path filter failed
if: needs.check-paths.result != 'success'
run: exit 1
- uses: actions/checkout@v4
- id: setup-venv
uses: ./.github/workflows/setup-venv
- name: Install system packages
run: |
sudo apt-get install -y numactl pdsh
- name: Resolve dependency inputs
env:
GITHUB_EVENT_NAME: ${{ github.event_name }}
MANUAL_TORCH_PRESET: ${{ github.event.inputs.torch_preset || '' }}
MANUAL_TRANSFORMERS_SOURCE: ${{ github.event.inputs.transformers_source || '' }}
MANUAL_TRANSFORMERS_VERSION: ${{ github.event.inputs.transformers_version || '' }}
MANUAL_TRANSFORMERS_REF: ${{ github.event.inputs.transformers_ref || '' }}
run: |
if [ "$GITHUB_EVENT_NAME" = 'workflow_dispatch' ] && [ -n "$MANUAL_TORCH_PRESET" ]; then
selected_preset="$MANUAL_TORCH_PRESET"
else
selected_preset="$DEFAULT_TORCH_PRESET"
fi
if [ "$GITHUB_EVENT_NAME" = 'workflow_dispatch' ] && [ -n "$MANUAL_TRANSFORMERS_SOURCE" ]; then
transformers_source="$MANUAL_TRANSFORMERS_SOURCE"
else
transformers_source="$DEFAULT_TRANSFORMERS_SOURCE"
fi
if [ "$GITHUB_EVENT_NAME" = 'workflow_dispatch' ] && [ -n "$MANUAL_TRANSFORMERS_VERSION" ]; then
transformers_version="$MANUAL_TRANSFORMERS_VERSION"
else
transformers_version="$DEFAULT_TRANSFORMERS_VERSION"
fi
if [ "$GITHUB_EVENT_NAME" = 'workflow_dispatch' ] && [ -n "$MANUAL_TRANSFORMERS_REF" ]; then
transformers_ref="$MANUAL_TRANSFORMERS_REF"
else
transformers_ref="$DEFAULT_TRANSFORMERS_REF"
fi
if [ "$transformers_source" = 'git' ] && [ -z "$transformers_ref" ]; then
transformers_ref='main'
fi
case "$selected_preset" in
'2.7.1-cpu')
torch_install_version='2.7.1'
torchvision_install_version='0.22.1'
torch_test_version='2.7'
;;
'2.8.0-cpu')
torch_install_version='2.8.0'
torchvision_install_version='0.23.0'
torch_test_version='2.8'
;;
'2.9.1-cpu')
torch_install_version='2.9.1'
torchvision_install_version='0.24.1'
torch_test_version='2.9'
;;
'2.10.0-cpu')
torch_install_version='2.10.0'
torchvision_install_version='0.25.0'
torch_test_version='2.10'
;;
*)
echo "Unsupported torch_preset: $selected_preset" >&2
exit 1
;;
esac
{
echo "SELECTED_TORCH_PRESET=$selected_preset"
echo "TORCH_INSTALL_VERSION=$torch_install_version"
echo "TORCHVISION_INSTALL_VERSION=$torchvision_install_version"
echo "TORCH_TEST_VERSION=$torch_test_version"
echo "PYTORCH_INDEX_URL=https://download.pytorch.org/whl/cpu"
echo "TRANSFORMERS_SOURCE=$transformers_source"
echo "TRANSFORMERS_VERSION=$transformers_version"
echo "TRANSFORMERS_REF=$transformers_ref"
} >> "$GITHUB_ENV"
echo "Selected PyTorch preset: $selected_preset"
echo "Resolved install tuple: torch==$torch_install_version torchvision==$torchvision_install_version"
echo "Resolved test expectation: torch=$torch_test_version"
echo "Resolved Transformers source: $transformers_source"
echo "Resolved Transformers version: $transformers_version"
echo "Resolved Transformers ref: $transformers_ref"
- name: Install PyTorch
run: |
pip install \
torch=="$TORCH_INSTALL_VERSION" \
torchvision=="$TORCHVISION_INSTALL_VERSION" \
--index-url "$PYTORCH_INDEX_URL"
python -c "import torch; print('torch:', torch.__version__, torch)"
python -c "import torch; print('CUDA available:', torch.cuda.is_available())"
- name: Install Transformers
run: |
case "$TRANSFORMERS_SOURCE" in
'pypi')
pip install "transformers==$TRANSFORMERS_VERSION"
;;
'git')
git clone --filter=blob:none https://github.com/huggingface/transformers /tmp/transformers
cd /tmp/transformers
git checkout "$TRANSFORMERS_REF"
resolved_ref="$(git rev-parse HEAD)"
echo "TRANSFORMERS_RESOLVED_REF=$resolved_ref" >> "$GITHUB_ENV"
echo "Resolved Transformers git ref: $resolved_ref"
pip install .
;;
*)
echo "Unsupported TRANSFORMERS_SOURCE: $TRANSFORMERS_SOURCE" >&2
exit 1
;;
esac
python -c "import transformers; print('transformers:', transformers.__version__, transformers)"
- name: Install deepspeed
run: |
pip install .[dev,autotuning]
ds_report
- name: Reinstall selected Transformers
run: |
case "$TRANSFORMERS_SOURCE" in
'pypi')
pip install --no-deps --force-reinstall "transformers==$TRANSFORMERS_VERSION"
;;
'git')
cd /tmp/transformers
pip install --no-deps --force-reinstall .
;;
*)
echo "Unsupported TRANSFORMERS_SOURCE: $TRANSFORMERS_SOURCE" >&2
exit 1
;;
esac
python -c "import transformers; print('transformers:', transformers.__version__, transformers)"
- name: Python environment
run: |
pip list
- name: Unit tests
run: |
unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch
cd tests
HF_HOME=/tmp/hf_home/ pytest $PYTEST_OPTS --forked -n 4 unit/ --torch_ver="$TORCH_TEST_VERSION"
HF_HOME=/tmp/hf_home/ pytest $PYTEST_OPTS --forked -m 'sequential' unit/ --torch_ver="$TORCH_TEST_VERSION"
+585
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@@ -0,0 +1,585 @@
# Copyright (c) DeepSpeed Team.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
name: DCO / required
on:
pull_request:
branches:
- master
merge_group:
branches:
- master
permissions:
checks: read
contents: read
pull-requests: read
jobs:
dco_required:
name: DCO / required
runs-on: ubuntu-latest
steps:
- name: Validate commit signoffs
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
python - <<'PY'
import json
import os
import re
import sys
import urllib.error
import urllib.parse
import urllib.request
# GitHub App ID for https://github.com/apps/dco.
PROBOT_DCO_APP_ID = 1861
def load_event(path):
with open(path, encoding="utf-8") as f:
return json.load(f)
def fail(message):
print(f"::error::{message}")
sys.exit(1)
def extract_pr_numbers_from_refs(*refs):
numbers = []
text = "\n".join(value for value in refs if value)
for match in re.finditer(r"(?:^|[/-])pr-(\d+)(?=$|[/-])", text):
number = int(match.group(1))
if number not in numbers:
numbers.append(number)
return numbers
def extract_pull_request_number_from_refs(*refs):
text = "\n".join(value for value in refs if value)
match = re.search(r"(?:^|/)pull/(\d+)(?=/|$)", text)
if match:
return int(match.group(1))
return None
def discover_pr_numbers(event_name, event, github_ref):
if event_name == "pull_request":
number = event.get("number")
if number is not None:
try:
return [int(number)]
except (TypeError, ValueError):
fail(f"pull_request event had non-integer number: {number!r}")
try:
return [int(event["pull_request"]["number"])]
except (KeyError, TypeError, ValueError):
ref_number = extract_pull_request_number_from_refs(
os.environ.get("GITHUB_REF"),
github_ref,
event.get("ref"),
)
if ref_number is not None:
return [ref_number]
fail("pull_request event did not include a pull request number")
if event_name == "merge_group":
merge_group = event.get("merge_group", {})
numbers = extract_pr_numbers_from_refs(
merge_group.get("head_ref"),
os.environ.get("GITHUB_REF_NAME"),
github_ref,
event.get("ref"),
)
if numbers:
return numbers
fail(
"merge_group event did not include a parseable PR number. "
f"head_ref={merge_group.get('head_ref')!r} "
f"GITHUB_REF_NAME={os.environ.get('GITHUB_REF_NAME')!r} "
f"GITHUB_REF={github_ref!r}"
)
fail(f"Unsupported event for DCO check: {event_name}")
def graphql_request(query, variables, token):
body = json.dumps({"query": query, "variables": variables}).encode("utf-8")
req = urllib.request.Request(
"https://api.github.com/graphql",
data=body,
headers={
"Accept": "application/vnd.github+json",
"Authorization": f"Bearer {token}",
"Content-Type": "application/json",
"X-GitHub-Api-Version": "2022-11-28",
"User-Agent": "deepspeed-dco-check",
},
)
try:
with urllib.request.urlopen(req, timeout=30) as response:
payload = json.loads(response.read().decode("utf-8"))
except urllib.error.HTTPError as exc:
detail = exc.read().decode("utf-8", errors="replace")
fail(f"GitHub GraphQL request failed: HTTP {exc.code} {detail}")
except urllib.error.URLError as exc:
fail(f"GitHub GraphQL request failed: {exc}")
if payload.get("errors"):
fail(f"GitHub GraphQL returned errors: {payload['errors']}")
return payload["data"]
def rest_request(path, token, fatal=True):
url = f"https://api.github.com/repos/{os.environ['GITHUB_REPOSITORY']}{path}"
items = []
while url:
req = urllib.request.Request(
url,
headers={
"Accept": "application/vnd.github+json",
"Authorization": f"Bearer {token}",
"X-GitHub-Api-Version": "2022-11-28",
"User-Agent": "deepspeed-dco-check",
},
)
try:
with urllib.request.urlopen(req, timeout=30) as response:
data = json.loads(response.read().decode("utf-8"))
link = response.headers.get("Link", "")
except urllib.error.HTTPError as exc:
detail = exc.read().decode("utf-8", errors="replace")
message = (
f"GitHub REST request failed for {path}: "
f"HTTP {exc.code} {detail}"
)
if fatal:
fail(message)
print(f"::warning::{message}")
return None
except urllib.error.URLError as exc:
message = f"GitHub REST request failed for {path}: {exc}"
if fatal:
fail(message)
print(f"::warning::{message}")
return None
if isinstance(data, list):
items.extend(data)
else:
commits = data.get("commits")
if isinstance(commits, list):
items.extend(commits)
else:
return data
next_url = None
for part in link.split(","):
if 'rel="next"' in part:
next_url = part[part.find("<") + 1:part.find(">")]
break
url = next_url
return items
def fetch_compare_commits(base_sha, head_sha, token):
base = urllib.parse.quote(base_sha, safe="")
head = urllib.parse.quote(head_sha, safe="")
return rest_request(f"/compare/{base}...{head}?per_page=100", token)
def fetch_commit(sha, token):
ref = urllib.parse.quote(sha, safe="")
return rest_request(f"/commits/{ref}", token, fatal=False)
def has_successful_probot_dco(head_sha, token):
if not head_sha:
return False
ref = urllib.parse.quote(head_sha, safe="")
payload = rest_request(
f"/commits/{ref}/check-runs?check_name=DCO&filter=latest",
token,
fatal=False,
)
if not payload:
return False
for check_run in payload.get("check_runs", []):
app = check_run.get("app") or {}
is_probot_dco = app.get("slug") == "dco" or app.get("id") == PROBOT_DCO_APP_ID
if (
check_run.get("name") == "DCO"
and is_probot_dco
and check_run.get("status") == "completed"
and check_run.get("conclusion") == "success"
):
print(
"Found successful Probot DCO check for PR head "
f"{head_sha}; accepting Probot result."
)
return True
return False
def fetch_pr_commits(owner, repo, number, token):
query = """
query($owner: String!, $repo: String!, $number: Int!, $cursor: String) {
repository(owner: $owner, name: $repo) {
PULL_REQUEST_FIELD(number: $number) {
baseRefName
baseRepository {
nameWithOwner
}
headRefOid
commits(first: 100, after: $cursor) {
pageInfo {
hasNextPage
endCursor
}
nodes {
commit {
oid
message
author {
name
email
user {
login
}
}
committer {
name
email
user {
login
}
}
parents(first: 2) {
totalCount
}
}
}
}
}
}
}
""".replace("PULL_REQUEST_FIELD", "pull" + "Request")
cursor = None
commits = []
base_ref = None
base_repo = None
head_sha = None
while True:
data = graphql_request(
query,
{"owner": owner, "repo": repo, "number": number, "cursor": cursor},
token,
)
pull_request = data["repository"]["pull" + "Request"]
if pull_request is None:
fail(f"PR #{number} was not found")
base_ref = pull_request["baseRefName"]
base_repo = pull_request["baseRepository"]["nameWithOwner"]
head_sha = pull_request["headRefOid"]
connection = pull_request["commits"]
commits.extend(connection["nodes"])
page_info = connection["pageInfo"]
if not page_info["hasNextPage"]:
break
cursor = page_info["endCursor"]
if not cursor:
fail(f"PR #{number} pagination did not return an end cursor")
return {
"base_ref": base_ref,
"base_repo": base_repo,
"head_sha": head_sha,
"commits": commits,
}
def has_signed_off_by(message):
return bool(
re.search(
r"^Signed-off-by:\s+\S.*$",
message,
flags=re.MULTILINE,
)
)
def commit_subject(message):
return message.splitlines()[0] if message.splitlines() else "(empty subject)"
def actor_from_graphql(git_actor):
git_actor = git_actor or {}
user = git_actor.get("user") or {}
return {
"login": user.get("login") or "",
"type": "",
"name": git_actor.get("name") or "",
"email": git_actor.get("email") or "",
}
def actor_from_rest(api_actor, git_actor):
api_actor = api_actor or {}
git_actor = git_actor or {}
return {
"login": api_actor.get("login") or "",
"type": api_actor.get("type") or "",
"name": git_actor.get("name") or "",
"email": git_actor.get("email") or "",
}
def is_trusted_bot_actor(actor):
actor = actor or {}
return str(actor.get("type", "")).lower() == "bot"
def has_bot_marker(actor):
actor = actor or {}
for key in ("login", "name", "email"):
value = str(actor.get(key, "")).lower()
if "[bot]" in value:
return True
return False
def actor_label(actor):
actor = actor or {}
return (
actor.get("login")
or actor.get("name")
or actor.get("email")
or "unknown actor"
)
def is_verified_bot_authored(record, token):
author = record.get("author") or {}
if is_trusted_bot_actor(author):
return True
if not token or not has_bot_marker(author):
return False
commit = fetch_commit(record["sha"], token)
if not commit:
return False
api_author = commit.get("author") or {}
if str(api_author.get("type", "")).lower() != "bot":
return False
author["login"] = api_author.get("login") or author.get("login") or ""
author["type"] = api_author.get("type") or author.get("type") or ""
return True
def validate_records(records, seen, token=None, skip_sha=None):
failures = []
checked = []
skipped = []
accepted = []
for record in records:
oid = record["sha"]
if oid in seen:
continue
seen.add(oid)
if skip_sha and oid == skip_sha:
skipped.append(oid)
print(f"Skipping merge group head commit {oid}")
continue
if record["parent_count"] > 1:
skipped.append(oid)
print(f"Skipping merge commit {oid}")
continue
if is_verified_bot_authored(record, token):
skipped.append(oid)
print(
"Skipping bot-authored commit "
f"{oid} ({actor_label(record.get('author'))})"
)
continue
checked.append(oid)
message = record.get("message") or ""
if not has_signed_off_by(message):
failures.append({"sha": oid, "subject": commit_subject(message)})
return {
"checked": checked,
"skipped": skipped,
"accepted": accepted,
"failures": failures,
}
def validate_pr(owner, repo, number, token, seen):
print(f"Validating DCO trailers for PR #{number}")
pull_request = fetch_pr_commits(owner, repo, number, token)
expected_base = f"{owner}/{repo}"
if (
pull_request["base_repo"] != expected_base
or pull_request["base_ref"] != "master"
):
fail(
f"PR #{number} targets "
f"{pull_request['base_repo']}:{pull_request['base_ref']}, "
f"expected {expected_base}:master"
)
records = []
for node in pull_request["commits"]:
commit = node["commit"]
records.append(
{
"sha": commit["oid"],
"message": commit.get("message") or "",
"author": actor_from_graphql(commit.get("author")),
"committer": actor_from_graphql(commit.get("committer")),
"parent_count": commit["parents"]["totalCount"],
}
)
if not records:
return {
"checked": [],
"skipped": [],
"accepted": [],
"failures": [
{
"sha": f"PR #{number}",
"subject": "no commits returned by pull request commits API",
}
],
}
if has_successful_probot_dco(pull_request["head_sha"], token):
accepted = []
for record in records:
oid = record["sha"]
if oid not in seen:
seen.add(oid)
accepted.append(oid)
return {
"checked": [],
"skipped": [],
"accepted": accepted,
"failures": [],
}
return validate_records(records, seen, token=token)
def verify_merge_group_range_coverage(event, token, seen):
merge_group = event.get("merge_group", {})
base_sha = merge_group.get("base_sha")
head_sha = merge_group.get("head_sha") or os.environ.get("GITHUB_SHA")
if not base_sha or not head_sha:
fail(
"merge_group event did not include base_sha and head_sha. "
f"base_sha={base_sha!r} head_sha={head_sha!r} "
f"GITHUB_SHA={os.environ.get('GITHUB_SHA')!r}"
)
print(f"Checking merge group range coverage {base_sha}...{head_sha}")
commits = fetch_compare_commits(base_sha, head_sha, token)
records = []
for commit in commits:
git_commit = commit.get("commit", {}) or {}
records.append(
{
"sha": commit.get("sha", ""),
"message": git_commit.get("message", "") or "",
"author": actor_from_rest(
commit.get("author"),
git_commit.get("author"),
),
"committer": actor_from_rest(
commit.get("committer"),
git_commit.get("committer"),
),
"parent_count": len(commit.get("parents", [])),
}
)
if not commits:
fail(f"merge_group compare range {base_sha}...{head_sha} returned no commits")
return validate_records(records, seen, token=token, skip_sha=head_sha)
def main():
repository = os.environ["GITHUB_REPOSITORY"]
owner, repo = repository.split("/", 1)
event_name = os.environ["GITHUB_EVENT_NAME"]
github_ref = os.environ.get("GITHUB_REF")
token = os.environ["GITHUB_TOKEN"]
event = load_event(os.environ["GITHUB_EVENT_PATH"])
pull_numbers = discover_pr_numbers(event_name, event, github_ref)
failures = []
checked = set()
skipped = set()
accepted = set()
seen = set()
for number in sorted(pull_numbers):
result = validate_pr(owner, repo, number, token, seen)
failures.extend(result["failures"])
checked.update(result["checked"])
skipped.update(result["skipped"])
accepted.update(result.get("accepted", []))
if event_name == "merge_group":
result = verify_merge_group_range_coverage(
event,
token,
seen,
)
failures.extend(result["failures"])
checked.update(result["checked"])
skipped.update(result["skipped"])
accepted.update(result.get("accepted", []))
if failures:
for failure in failures:
print(f"::error::{failure['sha']}: {failure['subject']}")
fail(
f"{len(failures)} commit(s) are missing a Signed-off-by trailer."
)
print(
"DCO validation passed for "
f"{len(pull_numbers)} pull request(s): "
f"checked {len(checked)} commit(s), "
f"accepted {len(accepted)} commit(s) via Probot DCO, "
f"skipped {len(skipped)} merge, bot, or synthetic commit(s)."
)
if __name__ == "__main__":
main()
PY
+41
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@@ -0,0 +1,41 @@
name: Formatting
on:
workflow_dispatch:
pull_request:
branches:
'**'
merge_group:
branches: [ master ]
schedule:
- cron: "0 0 * * *"
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
# formatting and basic install on cpu-only machine
unit-tests:
name: formatting / formatting checks
runs-on: ubuntu-22.04
steps:
- uses: actions/checkout@v4
- name: environment
run: |
which python
python --version
- name: Install dependencies
run: |
# Previously we would do pip install .[dev] but this is causing out of
# space errors start with torch 2.1.0 release
grep -E "clang-format|pre-commit" requirements/requirements-dev.txt | xargs pip install
- name: Formatting checks
run: |
pip show pre-commit clang-format
pre-commit run --all-files
+88
View File
@@ -0,0 +1,88 @@
name: hpu-gaudi2-nightly
on:
workflow_dispatch:
schedule:
- cron: "0 0 * * *"
pull_request:
paths:
- ".github/workflows/hpu-gaudi2-nightly.yml"
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
permissions:
contents: read
issues: write
jobs:
unit-tests:
name: hpu-gaudi2-nightly / unit tests
# The type of runner that the job will run on
runs-on: [self-hosted, intel, gaudi2]
container:
image: vault.habana.ai/gaudi-docker/1.21.0/ubuntu22.04/habanalabs/pytorch-installer-2.6.0:latest
ports:
- 80
options: --runtime=habana -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none --cap-add=sys_nice
env:
PT_HPU_LAZY_MODE: 0
TORCHINDUCTOR_COMPILE_THREADS: 1
TEST_LIST: |
test_adamw.py
test_bf16.py
test_ds_config_dict.py
test_dynamic_loss_scale.py
test_latest_checkpoint.py
test_moe_checkpoint.py
test_multi_output_model.py
test_other_optimizer.py
test_pipe.py
test_pipeline.py
test_universal_checkpoint.py
test_zero_context_return.py
test_zero_leaf_module.py
test_zero_offloadpp.py
test_zero_tiled.py
test_autotp_training.py
test_ulysses.py
# Steps represent a sequence of tasks that will be executed as part of the job
steps:
# Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it
- uses: actions/checkout@v4
- name: Check container state
run: |
ldd --version
hl-smi -L
python -c "import torch; print('torch:', torch.__version__, torch)"
python -c "import torch; print('CUDA available:', torch.cuda.is_available())"
- name: Install transformers
run: |
git clone https://github.com/huggingface/transformers
cd transformers
git rev-parse --short HEAD
pip install .
- name: Install deepspeed
run: |
pip install .[dev,autotuning]
ds_report
- name: Python environment
run: |
pip list
- name: Unit tests
run: |
unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch
cd tests
export PT_HPU_LAZY_MODE=${PT_HPU_LAZY_MODE}
export TORCHINDUCTOR_COMPILE_THREADS=${TORCHINDUCTOR_COMPILE_THREADS}
TEST_LIST=$(echo "$TEST_LIST" | awk 'NF{printf "%s%s", (NR>1 ? " or " : ""), $0} END{if (NR>1) print ""}')
echo "TEST_LIST ${TEST_LIST}"
pytest --verbose unit/ -k "${TEST_LIST}"
+139
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@@ -0,0 +1,139 @@
name: hpu-gaudi2
on:
workflow_dispatch:
schedule:
- cron: "0 0 * * *"
pull_request:
paths:
- ".github/workflows/hpu-gaudi2.yml"
- "accelerator/hpu_accelerator.py"
- "op_builder/hpu/**"
- "deepspeed/runtime/engine.py"
- "deepspeed/runtime/bf16_optimizer.py"
- "deepspeed/runtime/zero/stage_1_and_2.py"
- "deepspeed/runtime/zero/stage3.py"
- "deepspeed/runtime/zero/partition_parameters.py"
- "deepspeed/runtime/zero/partitioned_param_coordinator.py"
- "deepspeed/runtime/zero/parameter_offload.py"
- "deepspeed/runtime/pipe/engine.py"
- "deepspeed/runtime/utils.py"
- "deepspeed/inference/engine.py"
- "deepspeed/module_inject/auto_tp.py"
- "deepspeed/module_inject/replace_module.py"
- "deepspeed/module_inject/load_checkpoint.py"
- "deepspeed/module_inject/inject.py"
- "deepspeed/ops/transformer/**"
- "deepspeed/ops/adam/**"
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
permissions:
contents: read
issues: write
jobs:
unit-tests:
name: hpu-gaudi2 / unit tests
# The type of runner that the job will run on
runs-on: [self-hosted, intel, gaudi2]
container:
image: vault.habana.ai/gaudi-docker/1.21.0/ubuntu22.04/habanalabs/pytorch-installer-2.6.0:latest
ports:
- 80
options: --runtime=habana -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none --cap-add=sys_nice
env:
PT_HPU_LAZY_MODE: 0
TORCHINDUCTOR_COMPILE_THREADS: 1
TEST_LIST: |
test_accelerator.py
test_autotuning.py
test_compression.py
test_dist.py
test_elastic.py
test_ds_arguments.py
test_run.py
test_multinode_runner.py
test_moe_tp.py
test_monitor.py
(test_zero_optimizer.py and (TestSaveTensorClone or TestZeRONonDistributed))
(test_latest_checkpoint.py and test_missing_latest)
test_reshape_checkpoint.py
test_shared_weights.py
test_sparse.py
test_tag_validation.py
test_pipe_module.py
(test_flops_profiler.py and test_flops_profiler_in_inference)
test_get_optim_files.py
test_groups.py
test_partition_balanced.py
(test_adamw.py and TestAdamConfigs)
test_coalesced_collectives.py
test_activation_checkpointing_non_reentrant.py
test_activation_checkpointing.py
test_data.py
(test_ds_config_dict.py and (TestBasicConfig or TestBatchConfig))
test_ds_config_model.py
test_mup_optimizers.py
(test_pld.py and test_pld_schedule)
test_runtime_utils.py
test_pipe_schedule.py
test_topology.py
(test_ds_initialize.py and (TestClientOptimizer or TestClientLrScheduler))
test_csr.py
(test_fp16.py and (TestZeroEmptyGrad or TestZeroAllowUntestedOptimizer))
(test_bf16.py and TestZeroDtypeCocktail)
test_partition.py
test_ignore_unused_parameters.py
test_zero_config.py
test_zero_context_ancestry.py
(test_zero_context.py and not TestSerialContext)
test_zero_dynamic_class.py
test_zero_nesting_init.py
test_zeropp.py
(test_zero.py and (TestZero3ParamPartitioningLargeParam or TestZero3ParamPartitioningLargeParam))
(test_linear.py and (TestLoRALinear or TestBasicLinear))
(test_ctx.py and TestEngine)
# Steps represent a sequence of tasks that will be executed as part of the job
steps:
# Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it
- uses: actions/checkout@v4
- name: Check container state
run: |
ldd --version
hl-smi -L
python -c "import torch; print('torch:', torch.__version__, torch)"
python -c "import torch; print('CUDA available:', torch.cuda.is_available())"
- name: Install transformers
run: |
git clone https://github.com/huggingface/transformers
cd transformers
# if needed switch to the last known good SHA until transformers@master is fixed
# git checkout 981c276
git rev-parse --short HEAD
pip install .
- name: Install deepspeed
run: |
pip install .[dev,autotuning]
ds_report
- name: Python environment
run: |
pip list
- name: Unit tests
run: |
unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch
cd tests
export PT_HPU_LAZY_MODE=${PT_HPU_LAZY_MODE}
export TORCHINDUCTOR_COMPILE_THREADS=${TORCHINDUCTOR_COMPILE_THREADS}
TEST_LIST=$(echo "$TEST_LIST" | awk 'NF{printf "%s%s", (NR>1 ? " or " : ""), $0} END{if (NR>1) print ""}')
echo "TEST_LIST ${TEST_LIST}"
pytest --verbose unit/ -k "${TEST_LIST}"
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name: modal-accelerate
# This CI is running on modal.com's GPUs.
#
# It's set up here on github actions and then the cloned repo is sent to modal and everything
# happens on their hw - see ci/accelerate.py for where the actual vm is loaded, updated and the tests are
# run.
#
# Both files are annotated to what's important and how one might change or update things if needed.
#
# Note that since this is a Required job we can't use `on.push.path` file filter - we are using
# collect-tests job to do the filtering for us so that the job can be skipped and satisfy the
# Required status for PRs to pass.
#
on:
workflow_dispatch:
push:
branches:
- master
# you have to switch to `pull_request` if you need to change the CI job's python script,
# otherwise GH will use a master version of the CI files, ignoring the modifications in the PR -
# the other way is to use modal cli to test this job from one's host - it'd require setting up
# modal secrets
# pull_request:
pull_request_target:
paths-ignore:
- 'docs/**'
- 'blogs/**'
- 'deepspeed/inference/v2/**'
- 'tests/unit/inference/v2/**'
types: [review_requested, ready_for_review, synchronize]
branches:
- master
concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
cancel-in-progress: true
jobs:
collect-tests:
name: modal-accelerate / collect tests
runs-on: ubuntu-latest
permissions:
contents: read
pull-requests: read
outputs:
deepspeed: ${{ steps.filter.outputs.deepspeed }}
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
lfs: true
- name: Filter changed files
uses: dorny/paths-filter@v2
id: filter
with:
token: ${{ secrets.GITHUB_TOKEN }}
filters: |
deepspeed:
- 'deepspeed/**'
- '.github/workflows/modal*.yml'
- 'ci/**'
- 'tests/unit/**'
- 'csrc/**'
deploy:
name: modal-accelerate / DeepSpeedAI CI
runs-on: ubuntu-latest
needs: collect-tests
env:
# these are created at https://modal.com/settings/deepspeedai/tokens
# they are then added to the repo's secrets at https://github.com/deepspeedai/deepspeed/settings/secrets/actions
MODAL_TOKEN_ID: ${{ secrets.MODAL_TOKEN_ID }}
MODAL_TOKEN_SECRET: ${{ secrets.MODAL_TOKEN_SECRET }}
# this one comes from https://huggingface.co/settings/profile of the bot user
# and it too is then updated at https://github.com/deepspeedai/deepspeed/settings/secrets/actions
HF_TOKEN: ${{ secrets.HF_TOKEN }}
if: needs.collect-tests.outputs.deepspeed == 'true'
steps:
- name: Checkout Repository
uses: actions/checkout@v4
with:
lfs: true
- name: Install Python
uses: actions/setup-python@v5
with:
python-version: "3.10"
cache: 'pip' # caching pip dependencies
- name: Install build dependencies
run: |
pip install uv # much faster than pip
uv pip install --system modal
- name: Run tests
run: |
modal run -m ci.accelerate
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name: modal-torch-latest
# This CI is running on modal.com's GPUs.
#
# It's set up here on github actions and then the cloned repo is sent to modal and everything
# happens on their hw - see ci/torch_latest.py for where the actual vm is loaded, updated and the tests are
# run.
#
# Both files are annotated to what's important and how one might change or update things if needed.
#
# Note that since this is a Required job we can't use `on.push.path` file filter - we are using
# the collect-tests job to do the filtering for us so that the job can be skipped and satisfy the
# Required status for PRs to pass.
#
# Test selection: collect-tests runs ci/tests_fetcher.py, which traces the import
# graph from the PR's changed files to the impacted tests/unit/v1 tests. It emits a
# `mode` (all | subset | none) and a test-list file:
# - none -> deploy is skipped (Required status is still satisfied by the skip)
# - subset -> deploy runs pytest on only the impacted test files
# - all -> deploy runs the whole tests/unit/v1 suite
#
# Full design / how to drive & change it: .github/workflows/TEST_SELECTION.md
#
on:
workflow_dispatch:
inputs:
torch_preset:
description: Modal PyTorch/CUDA image preset for manual runs
required: false
default: '2.10.0-cuda12.8'
type: choice
options:
- '2.7.1-cuda12.8'
- '2.8.0-cuda12.8'
- '2.9.1-cuda12.8'
- '2.10.0-cuda12.8'
- '2.11.0-cuda12.8'
transformers_source:
description: Hugging Face Transformers source for manual runs
required: false
default: 'git'
type: choice
options:
- 'requirements'
- 'git'
transformers_ref:
description: Hugging Face Transformers git ref to install when source is git
required: false
default: 'main'
type: string
push:
branches:
- master
pull_request_target:
types: [review_requested, ready_for_review, synchronize]
branches:
- master
concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
cancel-in-progress: true
jobs:
collect-tests:
name: modal-torch-latest / collect tests
runs-on: ubuntu-latest
permissions:
contents: read
pull-requests: read
outputs:
mode: ${{ steps.fetch.outputs.mode }}
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
# For PRs, check out the PR head so the fetcher sees the proposed
# deepspeed/ + tests/ code. This job holds NO secrets. The selection
# *logic* (ci/) is restored from the base branch in a later step so a PR
# can't tamper with the decision (see "Use base-branch CI scripts").
# Falls back to the pushed/manual commit for non-PR events.
ref: ${{ github.event.pull_request.head.sha || github.sha }}
# Full history so the merge-base with the base branch is always present.
# This is the robust (if slower) choice: a shallow clone that can't reach
# the fork point would produce a wrong diff. The fetcher additionally
# guards against a missing merge-base by falling back to the full suite,
# so we never run a narrow (false-negative) selection on a bad base.
fetch-depth: 0
lfs: true
- name: Determine base ref
id: base
env:
EVENT_NAME: ${{ github.event_name }}
BASE_REF: ${{ github.base_ref }}
run: |
git config --global --add safe.directory '*'
if [ "$EVENT_NAME" = "pull_request_target" ]; then
# Fetch the base branch's full history too, so a merge-base always exists.
git fetch --no-tags origin "$BASE_REF"
echo "ref=origin/$BASE_REF" >> "$GITHUB_OUTPUT"
else
# push to master / manual dispatch -> no diff base -> run the full suite
echo "ref=" >> "$GITHUB_OUTPUT"
fi
- name: Use base-branch CI scripts
# SECURITY: this job decides whether the Required `deploy` job runs. Under
# pull_request_target we must NOT trust the PR's own ci/ for that decision:
# a PR could rewrite ci/tests_fetcher.py to emit `mode=none` (or its self
# tests) and skip CI entirely while still satisfying the Required check.
# So run the selector + self-tests from the *base* branch's ci/. The diff is
# computed from git history, so a PR's ci/ changes still show up in the diff
# and (via the base selector's `ci/**` run-all glob) force a full run.
if: github.event_name == 'pull_request_target'
env:
BASE_REF: ${{ github.base_ref }}
run: |
git config --global --add safe.directory '*'
git checkout "origin/$BASE_REF" -- ci/
- name: Self-test the fetcher
# Pure-stdlib self-tests for the selector (only needs git + python). Runs
# here so a broken selector is caught before it (mis)picks tests. Skipped
# when the base branch has no selector yet (bootstrap; see below).
run: |
if [ -f ci/test_tests_fetcher.py ]; then
python3 ci/test_tests_fetcher.py
else
echo "No base-branch ci/test_tests_fetcher.py (bootstrap) -> skipping self-tests."
fi
- name: Select impacted tests
id: fetch
# Pure-stdlib script; the runner's system python is fine (no deps needed).
# If the base branch doesn't have the selector yet (e.g. the PR that
# introduces it), the restored base ci/ won't contain tests_fetcher.py, so
# fall back to the full suite -- safe, and unblocks the bootstrap PR.
run: |
if [ -f ci/tests_fetcher.py ]; then
python3 ci/tests_fetcher.py --workflow modal-torch-latest --base "${{ steps.base.outputs.ref }}"
else
echo "No base-branch ci/tests_fetcher.py (bootstrap) -> running the full suite."
echo "mode=all" >> "$GITHUB_OUTPUT"
mkdir -p ci/.test_selection
printf 'tests/unit/v1\n' > ci/.test_selection/test_list.txt
fi
- name: Upload test selection
uses: actions/upload-artifact@v4
with:
name: modal-torch-latest-test-selection
path: ci/.test_selection/test_list.txt
# The path lives under a dot-folder; upload-artifact treats dot-prefixed
# paths as hidden and skips them by default (only warns), which would make
# deploy's download fail. Opt in explicitly.
include-hidden-files: true
retention-days: 3
deploy:
name: modal-torch-latest / DeepSpeedAI CI
runs-on: ubuntu-latest
needs: collect-tests
# Run when: manual dispatch, OR the selector failed (fail closed so the Required
# check doesn't silently pass), OR the diff impacts at least one test (mode != none).
# (!cancelled() adopted from upstream so a cancelled run doesn't trigger deploy.)
if: ${{ !cancelled() && (github.event_name == 'workflow_dispatch' || needs.collect-tests.result != 'success' || needs.collect-tests.outputs.mode != 'none') }}
steps:
- name: Fail if test selection failed
if: github.event_name != 'workflow_dispatch' && needs.collect-tests.result != 'success'
run: exit 1
- name: Checkout Repository
uses: actions/checkout@v4
with:
# Test the PR's code (not the base) so diff-driven selection is meaningful.
# SECURITY NOTE: under pull_request_target this runs PR-authored code while
# the modal/HF secrets are on this runner. The trigger types include
# `synchronize`, so this re-runs on every push to an open PR (not only on a
# maintainer's review_requested / ready_for_review action) -- do not treat
# the maintainer gate as an absolute barrier. The primary protection is that
# the CI orchestration (which actually receives the secrets) is restored
# from the base branch in the next step, so a PR can't repoint it at the
# secrets; only the PR's deepspeed/ + tests/ run, inside modal.
ref: ${{ github.event.pull_request.head.sha || github.sha }}
lfs: true
- name: Use base-branch CI scripts
# Run the *base* version of ci/ (which drives `modal run` with the secrets in
# scope) rather than the PR's, so a PR can't modify the orchestration to
# exfiltrate secrets. The PR's deepspeed/ + tests/ are still what gets tested.
# (As noted in the header, changes to ci/* must be validated via `pull_request`
# or the modal CLI, since pull_request_target always uses the base ci/ here.)
if: github.event_name == 'pull_request_target'
env:
BASE_REF: ${{ github.base_ref }}
run: |
git config --global --add safe.directory '*'
git fetch --no-tags --depth=1 origin "$BASE_REF"
git checkout "origin/$BASE_REF" -- ci/
- name: Install Python
uses: actions/setup-python@v5
with:
python-version: "3.10"
cache: 'pip' # caching pip dependencies
- name: Download test selection
if: needs.collect-tests.result == 'success'
uses: actions/download-artifact@v4
with:
name: modal-torch-latest-test-selection
path: ci/.test_selection
- name: Install build dependencies
run: |
pip install uv # much faster than pip
uv pip install --system modal
- name: Run tests
env:
MODAL_TORCH_PRESET: ${{ github.event.inputs.torch_preset || '2.10.0-cuda12.8' }}
MODAL_TRANSFORMERS_SOURCE: ${{ github.event.inputs.transformers_source || 'git' }}
MODAL_TRANSFORMERS_REF: ${{ github.event.inputs.transformers_ref || 'main' }}
# Diff-selected pytest targets produced by collect-tests (falls back to the
# full tests/unit/v1 suite if the file is missing/empty).
DS_TEST_LIST_FILE: ci/.test_selection/test_list.txt
# these are created at https://modal.com/settings/deepspeedai/tokens
# they are then added to the repo's secrets at https://github.com/deepspeedai/deepspeed/settings/secrets/actions
MODAL_TOKEN_ID: ${{ secrets.MODAL_TOKEN_ID }}
MODAL_TOKEN_SECRET: ${{ secrets.MODAL_TOKEN_SECRET }}
# this one comes from https://huggingface.co/settings/profile of the bot user
# and it too is then updated at https://github.com/deepspeedai/deepspeed/settings/secrets/actions
HF_TOKEN: ${{ secrets.HF_TOKEN }}
run: |
modal run -m ci.torch_latest
+50
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@@ -0,0 +1,50 @@
name: no-torch
on:
workflow_dispatch:
pull_request:
paths:
- 'accelerator/**'
- '.github/workflows/no-torch.yml'
- 'op_builder/**'
schedule:
- cron: "0 0 * * *"
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
permissions:
contents: read
issues: write
jobs:
unit-tests:
name: no-torch / source distribution build
runs-on: ubuntu-24.04
steps:
- uses: actions/checkout@v4
- id: setup-venv
uses: ./.github/workflows/setup-venv
- name: Python environment
run: |
pip uninstall torch --yes
pip install setuptools
pip install build
pip list
- name: Build deepspeed
run: |
DS_BUILD_STRING=" " python -m build --sdist
- name: Open GitHub issue if nightly CI fails
if: ${{ failure() && (github.event_name == 'schedule') }}
uses: JasonEtco/create-an-issue@v2
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
with:
filename: .github/ISSUE_TEMPLATE/ci_failure_report.md
update_existing: true
+75
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@@ -0,0 +1,75 @@
name: nv-a6000
on:
pull_request:
paths:
- 'accelerator/cuda_accelerator.py'
- 'deepspeed/inference/v2/**'
- 'tests/unit/inference/v2/**'
- '.github/workflows/nv-a6000.yml'
workflow_dispatch:
inputs:
mii_branch:
description: 'DeepSpeed-MII Branch'
required: false
default: 'main'
type: string
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
unit-tests:
name: nv-a6000 / inference and MII tests
runs-on: [self-hosted, nvidia, a6000]
container:
image: nvcr.io/nvidia/pytorch:25.01-py3
ports:
- 80
options: --gpus all --shm-size "8G"
steps:
- uses: actions/checkout@v4
- name: Check container state
run: |
ldd --version
nvcc --version
nvidia-smi
python -c "import torch; print('torch:', torch.__version__, torch)"
python -c "import torch; print('CUDA available:', torch.cuda.is_available())"
- name: Install transformers
run: |
git clone https://github.com/huggingface/transformers
cd transformers
# if you need to use an older transformers version temporarily in case of breakage
# git checkout 981c276
git rev-parse --short HEAD
python -m pip install .
- name: Install deepspeed
run: |
python -m pip install docutils==0.18.1 jinja2==3.0 urllib3==1.26.11 ninja
python -m pip install .[dev,1bit,autotuning,inf]
ds_report
- name: Python environment
run: |
python -m pip list
- name: Unit tests
run: |
unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch
cd tests
python -m pytest --color=yes --durations=0 --verbose -rF -m 'inference_v2' unit/ --torch_ver="2.6" --cuda_ver="12"
python -m pytest --color=yes --durations=0 --verbose -rF -m 'inference_v2_ops' unit/ --torch_ver="2.6" --cuda_ver="12"
- name: MII unit tests
run: |
BRANCH="main"
if [[ ! -z "${{ github.event.inputs.mii_branch }}" ]]; then
BRANCH="${{ github.event.inputs.mii_branch }}"
fi
echo "Cloning DeepSpeed-MII branch: $BRANCH"
git clone -b $BRANCH --depth=1 https://github.com/deepspeedai/DeepSpeed-MII.git
cd DeepSpeed-MII
pip install .[dev]
cd tests
python -m pytest --color=yes --durations=0 --verbose -rF ./
+47
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@@ -0,0 +1,47 @@
name: nv-accelerate-v100
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
unit-tests:
runs-on: [self-hosted, nvidia, cu124, v100]
steps:
- uses: actions/checkout@v4
- id: setup-venv
uses: ./.github/workflows/setup-venv
- name: Install pytorch
run: |
pip install -U --cache-dir $TORCH_CACHE torch torchvision --index-url https://download.pytorch.org/whl/cu124
python -c "import torch; print('torch:', torch.__version__, torch)"
python -c "import torch; print('CUDA available:', torch.cuda.is_available())"
- name: Install deepspeed
run: |
pip install .[dev,autotuning]
ds_report
- name: Python environment
run: |
pip list
- name: HF Accelerate tests
run: |
unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch
git clone https://github.com/huggingface/accelerate
cd accelerate
git rev-parse --short HEAD
# temp workaround until this is resolved https://github.com/huggingface/accelerate/issues/3676
pip install datasets==3.6.0
# installing dependencies
pip install .[testing]
# force protobuf version due to issues
pip install "protobuf<4.21.0"
pip list
pytest $PYTEST_OPTS --color=yes --durations=0 --verbose tests/deepspeed
+80
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@@ -0,0 +1,80 @@
name: nv-ds-chat
on:
workflow_dispatch:
inputs:
dse_branch:
description: 'DeepSpeedExamples Branch'
required: false
default: 'master'
type: string
pull_request:
paths:
- ".github/workflows/nv-ds-chat.yml"
- "deepspeed/runtime/zero/stage_1_and_2.py"
- "deepspeed/runtime/zero/stage3.py"
- "deepspeed/runtime/hybrid_engine.py"
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
permissions:
contents: read
issues: write
jobs:
unit-tests:
name: nv-ds-chat / DeepSpeed-Chat tests
runs-on: [self-hosted, nvidia, cu124, v100]
steps:
- uses: actions/checkout@v4
- id: setup-venv
uses: ./.github/workflows/setup-venv
- name: Install pytorch
run: |
pip install -U --cache-dir $TORCH_CACHE torch torchvision --index-url https://download.pytorch.org/whl/cu124
python -c "import torch; print('torch:', torch.__version__, torch)"
python -c "import torch; print('CUDA available:', torch.cuda.is_available())"
- name: Install deepspeed
run: |
pip install .[dev]
pip install transformers==4.48.3
ds_report
- name: Install deepspeed-chat
run: |
BRANCH="master"
if [[ ! -z "${{ github.event.inputs.dse_branch }}" ]]; then
BRANCH="${{ github.event.inputs.dse_branch }}"
fi
echo "DeepSpeedExamples Branch: $BRANCH"
git clone -b $BRANCH https://github.com/deepspeedai/DeepSpeedExamples.git
cd DeepSpeedExamples/applications/DeepSpeed-Chat
pip install -r requirements.txt
pip install -e .
- name: Python environment
run: |
pip list
- name: DS-Chat unit tests
run: |
cd DeepSpeedExamples/applications/DeepSpeed-Chat
unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch
unset NCCL_DEBUG
cd tests
pytest $PYTEST_OPTS ./
- name: Open GitHub issue if nightly CI fails
if: ${{ failure() && (github.event_name == 'schedule') }}
uses: JasonEtco/create-an-issue@v2
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
with:
filename: .github/ISSUE_TEMPLATE/ci_failure_report.md
update_existing: true
+68
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name: nv-flash-attn
on:
workflow_dispatch:
pull_request:
paths:
- 'deepspeed/sequence/**'
- 'tests/unit/sequence_parallelism/**'
- '.github/workflows/nv-flash-attn.yml'
schedule:
- cron: "0 0 * * *"
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
unit-tests:
name: nv-flash-attn / sequence parallelism tests
runs-on: [self-hosted, nvidia, a6000]
container:
image: nvcr.io/nvidia/pytorch:24.12-py3
ports:
- 80
options: --gpus all --shm-size "8G"
steps:
- uses: actions/checkout@v4
- name: Check container state
run: |
ldd --version
nvcc --version
nvidia-smi
python -c "import torch; print('torch:', torch.__version__, torch)"
python -c "import torch; print('CUDA available:', torch.cuda.is_available())"
- name: Install deepspeed
run: |
python -m pip install .[dev]
ds_report
# install transformers after deepspeed so that the right version of transformers is installed
- name: Install transformers
run: |
python -m pip install transformers==4.50.0
- name: Install FlashAttention
run: |
python -m pip install flash-attn
- name: Python environment
run: |
python -m pip list
- name: Unit tests
run: |
unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch
cd tests
python -m pytest --color=yes --durations=0 --verbose -rF unit/sequence_parallelism/test_ulysses.py --torch_ver="2.6" --cuda_ver="12"
- name: Open GitHub issue if nightly CI fails
if: ${{ failure() && (github.event_name == 'schedule') }}
uses: JasonEtco/create-an-issue@v2
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
with:
filename: .github/ISSUE_TEMPLATE/ci_failure_report.md
update_existing: true
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name: nv-inference
on:
workflow_dispatch:
pull_request:
paths:
- '.github/workflows/nv-inference.yml'
- 'requirements/**'
- 'deepspeed/__init__.py'
- 'deepspeed/inference/**'
- '!deepspeed/inference/v2/**' # exclude v2 dir
- 'tests/unit/inference/**'
- '!tests/unit/inference/v2/**' # exclude v2 tests dir
merge_group:
branches: [ master ]
schedule:
- cron: "0 0 * * *"
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
unit-tests:
name: nv-inference / inference tests
runs-on: [self-hosted, nvidia, cu124, v100]
steps:
- uses: actions/checkout@v4
- id: setup-venv
uses: ./.github/workflows/setup-venv
- name: Install pytorch
run: |
pip install -U --cache-dir $TORCH_CACHE torch==2.1.2 torchvision==0.16.2 --index-url https://download.pytorch.org/whl/cu124
python -c "import torch; print('torch:', torch.__version__, torch)"
python -c "import torch; print('CUDA available:', torch.cuda.is_available())"
- name: Install transformers
run: |
git clone https://github.com/huggingface/transformers
cd transformers
#git checkout f370bebdc
git rev-parse --short HEAD
pip install .
- name: Install deepspeed
run: |
DS_ACCELERATOR=cpu pip install .[dev,1bit,autotuning,inf]
#pip install .[dev,1bit,autotuning,inf,triton]
ds_report
- name: Python environment
run: |
pip list
- name: Unit tests
run: |
unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch
cd tests
#pytest $PYTEST_OPTS -m 'seq_inference' unit/ --torch_ver="2.1" --cuda_ver="12.4"
pytest $PYTEST_OPTS -m 'inference_ops' unit/ --torch_ver="2.1" --cuda_ver="12.4"
pytest $PYTEST_OPTS --forked -n 4 -m 'inference' unit/ --torch_ver="2.1" --cuda_ver="12.4"
# run ds_report again to check updated op list
ds_report
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@@ -0,0 +1,53 @@
# name: nv-lightning-v100
# disabled as the v100s are no more - need to port to modal while removing v100
# on:
# workflow_dispatch:
# pull_request:
# paths-ignore:
# - 'docs/**'
# - 'blogs/**'
# - 'deepspeed/inference/v2/**'
# - 'tests/unit/inference/v2/**'
# merge_group:
# branches: [ master ]
# schedule:
# - cron: "0 0 * * *"
# concurrency:
# group: ${{ github.workflow }}-${{ github.ref }}
# cancel-in-progress: true
# jobs:
# unit-tests:
# runs-on: [self-hosted, nvidia, cu124, v100]
# steps:
# - uses: actions/checkout@v4
# - id: setup-venv
# uses: ./.github/workflows/setup-venv
# - name: Install pytorch
# run: |
# pip install -U --cache-dir $TORCH_CACHE torch torchvision --index-url https://download.pytorch.org/whl/cu124
# python -c "import torch; print('torch:', torch.__version__, torch)"
# python -c "import torch; print('CUDA available:', torch.cuda.is_available())"
# - name: Install deepspeed
# run: |
# pip install .[dev,autotuning]
# ds_report
# - name: Python environment
# run: |
# pip list
# - name: PyTorch Lightning Tests
# run: |
# unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch
# pip install pytorch-lightning
# pip install "protobuf<4.21.0"
# cd tests
# pytest $PYTEST_OPTS lightning/
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@@ -0,0 +1,54 @@
name: nv-mii
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
unit-tests:
runs-on: [self-hosted, nvidia, cu124, v100]
steps:
- uses: actions/checkout@v4
- id: setup-venv
uses: ./.github/workflows/setup-venv
- name: Install pytorch
run: |
pip3 install -U --cache-dir $TORCH_CACHE torch torchvision --index-url https://download.pytorch.org/whl/cu124
python -c "import torch; print('torch:', torch.__version__, torch)"
python -c "import torch; print('CUDA available:', torch.cuda.is_available())"
- name: Install deepspeed
run: |
pip install .[dev]
ds_report
# install transformers after deepspeed so that the right version of transformers is installed
- name: Install transformers
run: |
git clone https://github.com/huggingface/transformers
cd transformers
# if needed switch to the last known good SHA until transformers@master is fixed
git checkout v4.42.4
git rev-parse --short HEAD
pip install .
- name: Python environment
run: |
pip list
- name: MII unit tests
run: |
BRANCH="main"
if [[ ! -z "${{ github.event.inputs.mii_branch }}" ]]; then
BRANCH="${{ github.event.inputs.mii_branch }}"
fi
echo "Cloning DeepSpeed-MII branch: $BRANCH"
git clone -b $BRANCH --depth=1 https://github.com/deepspeedai/DeepSpeed-MII.git
cd DeepSpeed-MII
pip install .[dev]
unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch
cd tests/legacy
pytest $PYTEST_OPTS --forked -m "deepspeed" ./
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@@ -0,0 +1,62 @@
name: nv-nightly
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
permissions:
contents: read
issues: write
jobs:
unit-tests:
runs-on: [self-hosted, nvidia, cu124, v100]
steps:
- uses: actions/checkout@v4
- id: setup-venv
uses: ./.github/workflows/setup-venv
- name: Install pytorch
run: |
pip install -U --cache-dir $TORCH_CACHE torch torchvision --index-url https://download.pytorch.org/whl/cu124
python -c "import torch; print('torch:', torch.__version__, torch)"
python -c "import torch; print('CUDA available:', torch.cuda.is_available())"
- name: Install transformers
run: |
git clone https://github.com/huggingface/transformers
cd transformers
# if needed switch to the last known good SHA until transformers@master is fixed
git checkout v4.42.4
git rev-parse --short HEAD
pip install .
- name: Install datasets
run: |
pip install datasets
- name: Install deepspeed
run: |
pip install .[dev,1bit,autotuning,inf]
ds_report
- name: Python environment
run: |
pip list
- name: Unit tests
run: |
unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch
cd tests
pytest $PYTEST_OPTS --forked -m 'nightly' unit/ --torch_ver="2.6" --cuda_ver="12.4"
- name: Open GitHub issue if nightly CI fails
if: ${{ failure() && (github.event_name == 'schedule') }}
uses: JasonEtco/create-an-issue@v2
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
with:
filename: .github/ISSUE_TEMPLATE/ci_failure_report.md
update_existing: true
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@@ -0,0 +1,82 @@
name: nv-pre-compile-ops
on:
workflow_dispatch:
pull_request:
branches:
'**'
merge_group:
branches: [ master ]
schedule:
- cron: "0 0 * * *"
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
check-paths:
name: nv-pre-compile-ops / check paths
runs-on: ubuntu-latest
permissions:
contents: read
pull-requests: read
outputs:
should_run: ${{ steps.non_pr.outputs.should_run || steps.filter.outputs.run_tests }}
steps:
- id: non_pr
if: github.event_name != 'pull_request'
run: echo "should_run=true" >> "$GITHUB_OUTPUT"
- uses: actions/checkout@v4
if: github.event_name == 'pull_request'
- uses: dorny/paths-filter@v3
id: filter
if: github.event_name == 'pull_request'
with:
predicate-quantifier: every
filters: |
run_tests:
- '**'
- '!docs/**'
- '!blogs/**'
- '!deepspeed/inference/v2/**'
- '!tests/unit/inference/v2/**'
unit-tests:
name: nv-pre-compile-ops / precompile ops
needs: check-paths
if: ${{ !cancelled() && (needs.check-paths.result != 'success' || needs.check-paths.outputs.should_run == 'true') }}
runs-on: ubuntu-24.04
container:
image: nvidia/cuda:12.6.3-devel-ubuntu22.04
steps:
- name: Fail if path filter failed
if: needs.check-paths.result != 'success'
run: exit 1
- name: Install system dependencies
run: |
apt-get update && apt-get install -y git python3 python3-pip libaio-dev ninja-build
ln -sf /usr/bin/python3 /usr/bin/python
- uses: actions/checkout@v4
- name: Install PyTorch
run: |
pip install torch==2.10.0 --index-url https://download.pytorch.org/whl/cu126
- name: environment
run: |
which python
python --version
python -c "import torch; print('torch:', torch.__version__, torch)"
#python -c "import torch; print('CUDA available:', torch.cuda.is_available())"
- name: Compile DeepSpeed Ops
run: |
DS_ACCELERATOR=cuda DS_ENABLE_NINJA=1 TORCH_CUDA_ARCH_LIST="7.0;7.5;8.0;8.6;8.9;9.0" DS_BUILD_OPS=1 DS_BUILD_SPARSE_ATTN=0 DS_BUILD_FP_QUANTIZER=0 DS_BUILD_CUTLASS_OPS=0 DS_BUILD_GDS=0 DS_BUILD_RAGGED_DEVICE_OPS=0 DS_BUILD_EVOFORMER_ATTN=0 DS_BUILD_DEEP_COMPILE=0 pip3 install .
- name: DS Report
run: |
DS_ACCELERATOR=cuda ds_report
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@@ -0,0 +1,73 @@
name: nv-sd
on:
workflow_dispatch:
pull_request:
paths:
- "deepspeed/ops/transformer/inference/diffusers_**"
- "tests/unit/inference/test_stable_diffusion.py"
- "deepspeed/model_implementations/diffusers/unet.py"
- "deepspeed/model_implementations/diffusers/vae.py"
- "deepspeed/module_inject/containers/vae.py"
- "deepspeed/module_inject/containers/unet.py"
- ".github/workflows/nv-sd.yml"
- "requirements/requirements-sd.txt"
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
permissions:
contents: read
issues: write
jobs:
sd-tests:
name: nv-sd / stable diffusion tests
runs-on: [self-hosted, nvidia, a6000]
container:
image: nvcr.io/nvidia/pytorch:24.03-py3
ports:
- 80
options: --gpus all --shm-size "8G"
steps:
- uses: actions/checkout@v4
- name: Check container state
run: |
ldd --version
nvcc --version
nvidia-smi
python -c "import torch; print('torch:', torch.__version__, torch)"
python -c "import torch; print('CUDA available:', torch.cuda.is_available())"
- name: Install transformers
run: |
git clone https://github.com/huggingface/transformers
cd transformers
git rev-parse --short HEAD
python -m pip install .
- name: Install deepspeed
run: |
pip install image-similarity-measures
python -m pip install opencv-python==4.6.* --force-reinstall
python -m pip install docutils==0.18.1 jinja2==3.0 urllib3==1.26.11 ninja
python -m pip install .[dev,1bit,autotuning,sd]
ds_report
- name: Python environment
run: |
python -m pip list
- name: Unit tests
run: |
unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch
cd tests
python -m pytest --color=yes --durations=0 --verbose -rF -m 'stable_diffusion' -k "TestStableDiffusion" unit/ --torch_ver="2.3" --cuda_ver="12"
- name: Open GitHub issue if weekly CI fails
if: ${{ failure() && (github.event_name == 'schedule') }}
uses: JasonEtco/create-an-issue@v2
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
with:
filename: .github/ISSUE_TEMPLATE/ci_failure_report.md
update_existing: true
@@ -0,0 +1,47 @@
name: nv-torch-latest-v100
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
unit-tests:
runs-on: [self-hosted, nvidia, cu124, v100]
steps:
- uses: actions/checkout@v4
- id: setup-venv
uses: ./.github/workflows/setup-venv
- name: Install pytorch
run: |
pip install -U --cache-dir $TORCH_CACHE torch torchvision --index-url https://download.pytorch.org/whl/cu124
python -c "import torch; print('torch:', torch.__version__, torch)"
python -c "import torch; print('CUDA available:', torch.cuda.is_available())"
- name: Install transformers
run: |
git clone https://github.com/huggingface/transformers
cd transformers
# if needed switch to the last known good SHA until transformers@master is fixed
git checkout 981c276
git rev-parse --short HEAD
pip install .
- name: Install deepspeed
run: |
pip install .[dev,1bit,autotuning,deepcompile]
pip install pytest-timeout pytest-instafail
ds_report
- name: Python environment
run: |
pip list
- name: Unit tests
run: |
unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch
cd tests
pytest -x $PYTEST_OPTS --instafail --timeout 600 --forked -n 8 unit/ --torch_ver="2.6" --cuda_ver="12.4"
pytest $PYTEST_OPTS --instafail --timeout 600 --forked -m 'sequential' unit/ --torch_ver="2.6" --cuda_ver="12.4"
@@ -0,0 +1,59 @@
name: nv-torch-nightly-v100
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
permissions:
contents: read
issues: write
jobs:
unit-tests:
runs-on: [self-hosted, nvidia, cu124, v100]
steps:
- uses: actions/checkout@v4
- id: setup-venv
uses: ./.github/workflows/setup-venv
- name: Install pytorch
run: |
pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cu124
python -c "import torch; print('torch:', torch.__version__, torch)"
python -c "import torch; print('CUDA available:', torch.cuda.is_available())"
- name: Install transformers
run: |
git clone https://github.com/huggingface/transformers
cd transformers
# if needed switch to the last known good SHA until transformers@master is fixed
# git checkout 981c276
git rev-parse --short HEAD
pip install .
- name: Install deepspeed
run: |
pip install .[dev,1bit,autotuning]
ds_report
- name: Python environment
run: |
pip list
- name: Unit tests
run: |
unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch
cd tests
pytest $PYTEST_OPTS --forked -n 8 unit/
pytest $PYTEST_OPTS --forked -m 'sequential' unit/
- name: Open GitHub issue if nightly CI fails
if: ${{ failure() && (github.event_name == 'schedule') }}
uses: JasonEtco/create-an-issue@v2
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
with:
filename: .github/ISSUE_TEMPLATE/ci_failure_report.md
update_existing: true
@@ -0,0 +1,52 @@
name: nv-transformers-v100
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
unit-tests:
runs-on: [self-hosted, nvidia, cu124, v100]
steps:
- uses: actions/checkout@v4
- id: setup-venv
uses: ./.github/workflows/setup-venv
- name: Install pytorch
run: |
# use the same pytorch version as transformers CI
pip install -U --cache-dir $TORCH_CACHE torch==2.0.1+cu124 --index-url https://download.pytorch.org/whl/cu124
python -c "import torch; print('torch:', torch.__version__, torch)"
python -c "import torch; print('CUDA available:', torch.cuda.is_available())"
- name: Install transformers
run: |
git clone https://github.com/huggingface/transformers
cd transformers
# if needed switch to the last known good SHA until transformers@master is fixed
git checkout e7e9261a2
git rev-parse --short HEAD
pip install .
- name: Install deepspeed
run: |
pip install .[dev,autotuning]
ds_report
- name: Python environment
run: |
pip list
- name: HF transformers tests
run: |
unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch
cd transformers
pip install .[testing]
# find reqs used in ds integration tests
find examples/pytorch -regextype posix-egrep -regex '.*(language-modeling|question-answering|summarization|image-classification|text-classification|translation).*/requirements.txt' -exec grep -v 'torch' {} \; | xargs -I {} pip install --upgrade {}
# force protobuf version due to issues
pip install "protobuf<4.21.0"
pip list
WANDB_DISABLED=true RUN_SLOW=1 pytest $PYTEST_OPTS tests/deepspeed
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@@ -0,0 +1,90 @@
name: python
on:
workflow_dispatch:
pull_request:
branches:
'**'
merge_group:
branches: [ master ]
schedule:
- cron: "0 0 * * *"
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
check-paths:
name: python / check paths
runs-on: ubuntu-latest
permissions:
contents: read
pull-requests: read
outputs:
should_run: ${{ steps.non_pr.outputs.should_run || steps.filter.outputs.run_tests }}
steps:
- id: non_pr
if: github.event_name != 'pull_request'
run: echo "should_run=true" >> "$GITHUB_OUTPUT"
- uses: actions/checkout@v4
if: github.event_name == 'pull_request'
- uses: dorny/paths-filter@v3
id: filter
if: github.event_name == 'pull_request'
with:
predicate-quantifier: every
filters: |
run_tests:
- '**'
- '!docs/**'
- '!blogs/**'
unit-tests:
name: python / install smoke (Python ${{ matrix.pyVersion }})
needs: check-paths
if: ${{ !cancelled() }}
strategy:
matrix:
pyVersion: ["3.10", "3.11", "3.12"]
fail-fast: false
runs-on: ubuntu-24.04
container:
image: python:${{ matrix.pyVersion }}-slim
steps:
- name: Fail if path filter failed
if: needs.check-paths.result != 'success'
run: exit 1
- name: Skip ignored-path install smoke
if: needs.check-paths.outputs.should_run != 'true'
run: echo "Only ignored paths changed; install smoke intentionally skipped."
- uses: actions/checkout@v4
if: needs.check-paths.outputs.should_run == 'true'
- name: Install build dependencies
if: needs.check-paths.outputs.should_run == 'true'
run: |
apt-get update && apt-get install -y build-essential ninja-build
- name: environment
if: needs.check-paths.outputs.should_run == 'true'
run: |
which python
python --version
- name: Install PyTorch (CPU)
if: needs.check-paths.outputs.should_run == 'true'
run: |
pip install torch --index-url https://download.pytorch.org/whl/cpu
- name: Install deepspeed
if: needs.check-paths.outputs.should_run == 'true'
run: |
pip install .
- name: DS Report
if: needs.check-paths.outputs.should_run == 'true'
run: |
ds_report
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@@ -0,0 +1,52 @@
name: Build and publish DeepSpeed release
on:
push:
tags:
- 'v*.*.*'
jobs:
deploy:
runs-on: ubuntu-24.04
environment: release-env
steps:
- uses: actions/checkout@v4
with:
ref: "master"
- id: setup-venv
uses: ./.github/workflows/setup-venv
- name: Get release version from tag
run: |
echo "RELEASE_VERSION=${GITHUB_REF#refs/*/v}" >> $GITHUB_ENV
- name: Check release version
run: |
pip install packaging
python release/check_release_version.py --release_version ${{ env.RELEASE_VERSION }}
- name: Build DeepSpeed
run: |
pip install setuptools
pip install build
DS_BUILD_STRING=" " python -m build --sdist
- name: Publish to PyPI
uses: pypa/gh-action-pypi-publish@release/v1
with:
password: ${{ secrets.PYPI_API_TOKEN }}
repository-url: https://upload.pypi.org/legacy/
- name: Bump version
run: |
python release/bump_patch_version.py --current_version ${{ env.RELEASE_VERSION }}
- name: Create Pull Request
uses: peter-evans/create-pull-request@v6
with:
token: ${{ secrets.GH_PAT }}
add-paths: |
version.txt
body: |
**Auto-generated PR to update version.txt after a DeepSpeed release**
Released version - ${{ env.RELEASE_VERSION }}
Author - @${{ github.actor }}
branch: AutoPR/${{ env.RELEASE_VERSION }}
assignees: ${{ github.actor }}
title: "Update version.txt after ${{ env.RELEASE_VERSION }} release"
author: ${{ github.actor }} <${{ github.actor }}@users.noreply.github.com>
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@@ -0,0 +1,53 @@
name: Create Virtual Environment
runs:
using: "composite"
steps:
- id: update-env
run: |
sudo apt-get update
# Temporary disable nvme UTs
# sudo apt-get install -y libaio-dev
sudo apt remove -y libaio-dev
python -m pip install --user --upgrade pip
python -m pip install --user --upgrade virtualenv
shell: bash
- id: create-venv
run: |
rm -rf ./unit-test-venv
python -m venv unit-test-venv
source ./unit-test-venv/bin/activate
python -m pip install --upgrade pip
pip install wheel # required after pip>=23.1
echo PATH=$PATH >> $GITHUB_ENV # Make it so venv is inherited for other steps
shell: bash
- id: set-env-vars
run: |
echo TEST_DATA_DIR=/blob/ >> $GITHUB_ENV
echo HF_HOME=/blob/hf_home/ >> $GITHUB_ENV
echo TORCH_EXTENSIONS_DIR=./torch-extensions/ >> $GITHUB_ENV
echo TORCH_CACHE=/blob/torch_cache/ >> $GITHUB_ENV
echo HF_DATASETS_CACHE=/blob/datasets_cache/ >> $GITHUB_ENV
echo MEGATRON_CKPT_DIR=/blob/megatron_ckpt/ >> $GITHUB_ENV
echo CRITIC_CKPT_DIR=/blob/step2_opt_125m_ckpt/ >> $GITHUB_ENV
echo PYTEST_OPTS="--maxfail=100 --color=yes --durations=0 --verbose -rF" >> $GITHUB_ENV
shell: bash
- id: print-env
run: |
which python
python --version
if [[ -z "${AISC_NODE_INSTANCE_ID}" ]]; then
echo "Not on self-hosted node"
else
echo "JobID: ${AISC_NODE_INSTANCE_ID}"
fi
if command -v nvidia-smi; then
nvidia-smi
which nvcc
nvcc --version
elif command -v rocm-smi; then
rocm-smi --showhw
which hipcc
hipcc --version
fi
shell: bash
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@@ -0,0 +1,62 @@
name: xpu-compile
on:
workflow_dispatch:
schedule:
- cron: "0 0 * * *"
pull_request:
paths:
- ".github/workflows/xpu-compile.yml"
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
permissions:
contents: read
issues: write
jobs:
compile-tests:
name: xpu-compile / compile tests
runs-on: [self-hosted, intel, xpu]
container:
image: intel/oneapi-basekit:2025.0.2-0-devel-ubuntu22.04
ports:
- 80
options: --privileged -it --rm --device /dev/dri:/dev/dri -v /dev/dri/by-path:/dev/dri/by-path --ipc=host --cap-add=ALL
steps:
- uses: actions/checkout@v4
- name: Install prerequisite
run: |
apt-get update
apt-get install clinfo libaio-dev python3-pip -y
pip install torch==2.10.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/xpu
pip install py-cpuinfo numpy
pip install .[dev,autotuning]
- name: Check container state
run: |
ldd --version
ds_report
python3 -c "import torch; print('torch:', torch.__version__, torch)"
python3 -c "import torch; print('XPU available:', torch.xpu.is_available())"
python3 -c "from deepspeed.accelerator import get_accelerator; print('accelerator:', get_accelerator()._name)"
pip list
- name: Compile Status
shell: bash
run: |
echo "# torch.compile graph breaks" >> $GITHUB_STEP_SUMMARY
export FI_HMEM=system
ulimit -n 1048575
cd tests/torch_compile
export ZE_AFFINITY_MASK=0,1
echo "## ZeRO stage 3" >> $GITHUB_STEP_SUMMARY
deepspeed test_compile.py --deepspeed_config ds_config_z3.json 2>&1 | tee log_z3.txt
# for each line start with 'dynamo_output', extract the second field and following fields and append to GITHUB_STEP_SUMMARY using awk
cat log_z3.txt | awk '/^dynamo_output/ {$1=""; print $0}' >> $GITHUB_STEP_SUMMARY
echo "## ZeRO stage 2" >> $GITHUB_STEP_SUMMARY
deepspeed test_compile.py --deepspeed_config ds_config_z2.json 2>&1 | tee log_z2.txt
cat log_z2.txt | awk '/^dynamo_output/ {$1=""; print $0}' >> $GITHUB_STEP_SUMMARY
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@@ -0,0 +1,85 @@
name: xpu-max1100
on:
workflow_dispatch:
schedule:
- cron: "0 0 * * *"
pull_request:
paths:
- ".github/workflows/xpu-max1100.yml"
- "accelerator/xpu_accelerator.py"
- "accelerator/abstract_accelerator.py"
- "accelerator/cpu_accelerator.py"
- "accelerator/real_accelerator.py"
- "csrc/xpu/**"
- "deepspeed/runtime/engine.py"
- "deepspeed/runtime/bf16_optimizer.py"
- "deepspeed/runtime/zero/stage_1_and_2.py"
- "deepspeed/runtime/zero/stage3.py"
- "deepspeed/runtime/zero/partition_parameters.py"
- "deepspeed/runtime/zero/partitioned_param_coordinator.py"
- "deepspeed/runtime/zero/parameter_offload.py"
- "deepspeed/runtime/pipe/engine.py"
- "deepspeed/runtime/utils.py"
- "op_builder/xpu/**"
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
permissions:
contents: read
issues: write
jobs:
unit-tests:
name: xpu-max1100 / unit tests
runs-on: [self-hosted, intel, xpu]
container:
image: intel/oneapi-basekit:2025.0.2-0-devel-ubuntu22.04
ports:
- 80
options: --privileged -it --rm --device /dev/dri:/dev/dri -v /dev/dri/by-path:/dev/dri/by-path --ipc=host --cap-add=ALL
steps:
- uses: actions/checkout@v4
- name: Install prerequisite
shell: bash
run: |
apt-get update
apt-get install -y python3.11 python3.11-dev python3-pip clinfo libaio-dev
pip install --upgrade pip
pip install py-cpuinfo
pip install torch==2.10.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/xpu
pip install .[dev,autotuning]
- name: Check container state
shell: bash
run: |
ldd --version
ds_report
python3 -c "import torch; print('torch:', torch.__version__, torch)"
python3 -c "import torch; print('XPU available:', torch.xpu.is_available())"
python3 -c "from deepspeed.accelerator import get_accelerator; print('accelerator:', get_accelerator()._name)"
pip list
- name: Unit tests
shell: bash
run: |
cd tests/unit
export FI_PROVIDER="tcp"
export I_MPI_SHM=off
pytest --verbose accelerator/*
pytest --verbose autotuning/*
pytest --verbose model_parallelism/*
pytest --verbose monitor/*
pytest --verbose utils/*
pytest --verbose runtime/test_ds_config_model.py
pytest --verbose runtime/pipe/test_pipe_schedule.py
pytest --verbose runtime/zero/test_zero_config.py
pytest --verbose runtime/zero/test_zero_tiled.py
pytest --verbose runtime/zero/test_zeropp.py
pytest --verbose runtime/test_autocast.py
pytest --verbose runtime/test_data.py
pytest --verbose runtime/zero/test_zero_dynamic_class.py