fix: show all variants in e2e test

[drbh]

this avoids filtering out torch 213 variants in the e2e tests

[github-actions]

Coverage report — kernels/

Measured on: Python 3.10 / Torch 2.12.0.
Other CI configurations are not included in this number.
Hardware-gated code paths (ROCm/XPU/NPU/Darwin/Windows) are excluded or unreachable on the Linux+CUDA runner.

Total coverage: 84.6% — threshold: 80% — ✅

Per-file breakdown

Name	Stmts	Miss	Cover	Missing
src/kernels/__init__.py	10	0	100%
src/kernels/_system.py	6	1	83%	10
src/kernels/_versions.py	63	7	89%	46, 49, 52-53, 56-57, 100
src/kernels/backends.py	194	55	72%	40, 44, 48-51, 68, 90, 108, 117, 121, 125-127, 148, 170, 181, 188-191, 201, 205-225, 233, 256-276
src/kernels/compat.py	8	1	88%	5
src/kernels/deps.py	54	4	93%	58-59, 95, 98
src/kernels/layer/__init__.py	6	0	100%
src/kernels/layer/_interval_tree.py	103	4	96%	23, 52, 147, 150
src/kernels/layer/device.py	48	14	71%	42, 47-49, 91, 96-98, 101, 149, 152, 155-157
src/kernels/layer/func.py	81	7	91%	81, 111, 183, 301, 307, 320, 338
src/kernels/layer/globals.py	5	0	100%
src/kernels/layer/kernelize.py	74	8	89%	255, 281, 289-290, 296, 300, 316-318
src/kernels/layer/layer.py	210	16	92%	167, 210, 216, 229, 337, 417-418, 430, 439, 447, 458, 487, 491, 504, 557, 587
src/kernels/layer/mode.py	14	0	100%
src/kernels/layer/repos.py	130	34	74%	27, 33, 36-41, 61-62, 68, 71-74, 88, 92, 101-102, 108, 111-114, 121-122, 128, 131-134, 141-142, 148, 151-154, 235
src/kernels/lockfile.py	71	46	35%	37-104, 108-131
src/kernels/status.py	49	2	96%	23, 81
src/kernels/utils.py	301	55	82%	65, 77-81, 87-88, 218, 222, 225, 287, 295, 334-335, 373, 404, 409, 444, 673, 676, 678, 684, 697-698, 719-731, 735-742, 750, 754-764, 768-775, 813, 817, 836, 838
src/kernels/variants.py	262	19	93%	56, 87, 108, 138, 247-248, 289, 291, 371-378, 384-390, 421-427, 439-445, 534-536
src/kernels/verify.py	88	1	99%	32
TOTAL	1777	274	85%

Updated by the Test kernels workflow on commit 105901a1d968739b05a9ca985b568f794def0c4c.

[sayakpaul]

So, the underlying machine became incompatible somehow with the variants?

[drbh]

yea I think its an issue based on how the e2e tests choose the variant and torch version that conflicts if a new torch version is released.

for example I think we first choose the VARIANT, then later uv pip install torch, so in the case the variant is an older version than what gets pip installed an error gets thrown

kernels/.github/workflows/test_e2e.yaml

Lines 129 to 136 in 2c516fc

	VARIANT="${{ needs.init-build-upload.outputs.variant }}"
	CUDA_TAG=$(echo "$VARIANT" | grep -oP 'cu\d+')
	echo "Installing torch matching variant $VARIANT (CUDA tag: $CUDA_TAG)"
	uv sync --all-extras --dev
	# E2E validates this checkout, so use the local kernels-data binding instead of the released wheel from uv.lock.
	uv pip install --reinstall ../kernels-data/bindings/python
	uv pip install --upgrade torch --index-url https://download.pytorch.org/whl/$CUDA_TAG
	uv run --no-sync python -c "import torch; print(f'torch={torch.__version__}, cuda={torch.version.cuda}, cxx11_abi={torch.compiled_with_cxx11_abi()}')"