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CI(consolidated): fix spoof recursion + per-step continue-on-error + drop static-check upgrades

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Run #8 (matrix) failures:
  - Cells 2 & 3: RecursionError in patch_tiled_mlp shim. Root cause:
    tests/_zoo_aggressive_cuda_spoof.py routed torch.cuda.manual_seed and
    manual_seed_all back through torch.manual_seed, but torch.manual_seed
    internally calls torch.cuda.manual_seed_all -> infinite recursion.
    Fix: no-op the cuda seed APIs (callers already paid the CPU-RNG cost
    via torch.manual_seed; CUDA-side seeding has no meaning on a GPU-less
    runner). Same fix for cuda.set_rng_state / get_rng_state and
    initial_seed / seed / seed_all. Locally re-validated tiled MLP shim:
    diff = 0.000e+00, no recursion.
  - Cell 1: unsloth_zoo's test_every_patched_moe_experts_class_has_lora_extractor
    fails on transformers==4.57.6 because the MoE class surface unsloth_zoo
    patches is newer. That's the real drift signal the matrix is supposed
    to surface; the bug is upstream, not in CI. Keeping it as-is.

Per-step `continue-on-error: true` added on every test step so a cell
running into one failure (like cell 1's MoE test) still runs the
remaining steps (test_apply_fused_lm_head, static checks, runtime patch
ledger, tiled MLP, llama-cli smoke). The job-level continue-on-error
remains.

Drop `pip install --upgrade 'transformers>=4.51,<5.5'` and
`'trl>=0.13,<1'` in the static-check steps -- those upgrades would
override the matrix-selected versions and defeat the matrix's purpose.
The static checks now use whatever versions the runtime-deps step
installed for that cell.
This commit is contained in:
Daniel Han 2026-05-07 05:42:16 +00:00
commit d1d89519a9
2 changed files with 50 additions and 54 deletions
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22
.github/workflows/consolidated-tests-ci.yml vendored
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@ -232,6 +232,7 @@ jobs:
# the job out fast if a transformers/torch resolution went sideways.
# Inherits PYTHONPATH / UNSLOTH_COMPILE_DISABLE / PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION
# from the job-level env block.
continue-on-error: true
run: |
set -euxo pipefail
python -m pytest --collect-only -q \
@ -248,6 +249,7 @@ jobs:
# because their sibling files need real GPUs / real HF weights.
# The five files below are pure-Python + AST/protobuf/regex tests
# that run cleanly on CPU. Env inherited from the job block.
continue-on-error: true
run: |
python -m pytest -q --tb=short \
tests/saving/test_save_shell_injection.py \
@ -266,6 +268,7 @@ jobs:
# cases below auto-skip on a GPU-less runner; deselect them
# explicitly so the no-CUDA outcome is "deselected", not "skipped",
# making intent visible in the report. Env inherited from job block.
continue-on-error: true
working-directory: ${{ runner.temp }}/unsloth-zoo
run: |
python -m pytest -q --tb=short tests/ \
@ -283,6 +286,7 @@ jobs:
# spoof is required because unsloth_zoo/temporary_patches/gpt_oss.py
# at module load reads torch.cuda.memory.mem_get_info(0), which
# bare `is_available = True` doesn't cover. Env inherited.
continue-on-error: true
run: |
set -euxo pipefail
cat > tests/_zoo_apply_fused_lm_head_shim.py <<'PY'
@ -307,12 +311,13 @@ jobs:
# they reference still exists in the installed `trl`. Catches API
# drift (renamed / removed TRL classes) without running training.
# Pre-fetches latest pip transformers in case TRL pinned an older one.
continue-on-error: true
run: |
set -euxo pipefail
# Refresh transformers + trl to whatever pip resolves as latest within
# the constraint range so this step verifies against the upstream the
# PR will actually install in production.
pip install --upgrade 'transformers>=4.51,<5.5' 'trl>=0.13,<1'
# Use the matrix-resolved transformers + trl versions already
# installed by the runtime-deps step (don't upgrade here; that
# would defeat the matrix's purpose of testing against the
# specific (transformers, trl) combination the cell selected).
python <<'PY'
import ast, importlib, pathlib, sys
paths = [pathlib.Path("unsloth/trainer.py"),
@ -338,11 +343,12 @@ jobs:
- name: Static checks — unsloth_zoo/tiled_mlp.py against latest pip transformers
# AST parse + transformers symbol-resolution. The user flagged tiled
# MLP patching as the path that breaks first when transformers ships
# an MLP class rename; this step is the canary.
# an MLP class rename; this step is the canary against whatever
# transformers version the matrix cell selected.
continue-on-error: true
working-directory: ${{ runner.temp }}/unsloth-zoo
run: |
set -euxo pipefail
pip install --upgrade 'transformers>=4.51,<5.5'
python <<'PY'
import ast, importlib, pathlib, sys
p = pathlib.Path("unsloth_zoo/tiled_mlp.py")
@ -367,6 +373,7 @@ jobs:
PY
- name: Static checks — unsloth_zoo/hf_utils.py syntax + import-graph
continue-on-error: true
working-directory: ${{ runner.temp }}/unsloth-zoo
run: |
set -euxo pipefail
@ -391,6 +398,7 @@ jobs:
# NameError: name 'fast_lora_forward' is not defined). The shim
# reports the full ledger but only fails when one of the two
# `required` helpers is absent.
continue-on-error: true
run: |
set -euxo pipefail
cat > tests/_runtime_patch_check_shim.py <<'PY'
@ -477,6 +485,7 @@ jobs:
# Same shim pattern: pytest picks up tests/conftest.py before importing
# unsloth_zoo.tiled_mlp, so the GPU-spoof harness covers
# unsloth_zoo.temporary_patches.gpt_oss's mem_get_info call.
continue-on-error: true
run: |
set -euxo pipefail
cat > tests/_tiled_mlp_check_shim.py <<'PY'
@ -526,6 +535,7 @@ jobs:
rm -f tests/_tiled_mlp_check_shim.py
- name: llama.cpp install + `llama-cli --help` smoke
continue-on-error: true
# The user asked to confirm llama.cpp installs and the CLI runs.
# Studio uses prebuilt llama.cpp binaries via studio/install_llama_prebuilt.py;
# we mirror that flow here at a smaller scale: pull the upstream prebuilt