Check the shipped device code covers the GPUs a wheel claims by shoumikhin · Pull Request #21567 · pytorch/executorch

shoumikhin · 2026-08-04T04:35:29Z

A CUDA wheel can install cleanly, load its libraries, and still fail the moment a
model runs, because GPU device code is compiled per architecture. If a wheel was
built for one GPU generation, it is fine on that generation and broken everywhere
else the release row promised, and the failure looks like a model problem rather
than a packaging one.

Add a check that reads the architectures the build asked for and confirms each one
is present in the shipped accelerator libraries:

✓ device code covers every claimed GPU architecture: [80, 90, 100, 120]

The check skips with a stated reason when a build named no architectures, so the
CPU wheels are unaffected, and when the inspection tool is unavailable.

[ghstack-poisoned]

shoumikhin · 2026-08-04T04:35:30Z

Stack from ghstack (oldest at bottom):

pytorch-bot · 2026-08-04T04:35:32Z

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/21567

📄 Preview Python docs built from this PR

Note: Links to docs will display an error until the docs builds have been completed.

❗ 1 Active SEVs

There are 1 currently active SEVs. If your PR is affected, please view them below:

Github-hosted ubuntu-24.04 runners queueing

❌ 57 New Failures, 1 Cancelled Job, 23 Pending, 2 Unrelated Failures

As of commit d2f77f5 with merge base 4b4df96 ():

NEW FAILURES - The following jobs have failed:

periodic / test-models-linux (buck2, mv3, xnnpack-quantization-delegation, linux.2xlarge, 90) / linux-job (gh)
RuntimeError: Command docker exec -t 27892296a1f29a87c026bd4e14f6a3783b4f68d274d0bb6716b254f70d7f9d4d /exec failed with exit code 1
periodic / test-models-linux (cmake, mv3, xnnpack-quantization-delegation, linux.2xlarge, 90) / linux-job (gh)
RuntimeError: Command docker exec -t 4fdcde464efecb5c454af88dada796bdaba239c8e2d2b152dacfe5020eba9567 /exec failed with exit code 1
periodic / test-models-linux (cmake, vit, xnnpack-quantization-delegation, linux.2xlarge, 90) / linux-job (gh)
RuntimeError: Command docker exec -t 3b33bb989ee10546aa181072cf6839c24a61f1ccf19bca1bdb24721a2241e02e /exec failed with exit code 1
pull / test-arm-backend-no-driver (test_pytest_ops_no_target) / linux-job (gh)
RuntimeError: Command docker exec -t 9886dc80d07c5cb29cf9faaa0153eec70f50cc27339c1f15ddc58eba40d2d27e /exec failed with exit code 1
pull / test-arm-backend-public-api-backward-compatibility / linux-job (gh)
RuntimeError: Command docker exec -t b587372ebda78d1815c91fa1e024e1289e1920d42e9405729d6a300669af8f66 /exec failed with exit code 1
pull / test-llama-runner-linux (bf16, custom, linux.2xlarge, executorch-ubuntu-22.04-clang12) / linux-job (gh)
AttributeError: '_OpNamespace' 'llama' object has no attribute 'sdpa_with_kv_cache'
pull / test-llama-runner-linux (fp32, xnnpack+custom+qe, linux.2xlarge, executorch-ubuntu-22.04-clang12) / linux-job (gh)
AttributeError: '_OpNamespace' 'llama' object has no attribute 'sdpa_with_kv_cache'
pull / test-llama-runner-linux (fp32, xnnpack+custom+quantize_kv, linux.2xlarge, executorch-ubuntu-22.04... / linux-job (gh)
AttributeError: '_OpNamespace' 'llama' object has no attribute 'sdpa_with_kv_cache'
pull / test-llama-runner-linux (fp32, xnnpack+quantize_kv, linux.2xlarge, executorch-ubuntu-22.04-clang12) / linux-job (gh)
AttributeError: '_OpNamespace' 'llama' object has no attribute 'sdpa_with_kv_cache'
pull / test-lora-linux / linux-job (gh)
AttributeError: '_OpNamespace' 'llama' object has no attribute 'sdpa_with_kv_cache'
pull / test-lora-multimethod-linux / linux-job (gh)
AttributeError: '_OpNamespace' 'llama' object has no attribute 'sdpa_with_kv_cache'
pull / test-models-linux (add_mul, xnnpack-quantization-delegation, linux.2xlarge) / linux-job (gh)
RuntimeError: Command docker exec -t f4ca4062e554761b50b0b661c2b7ea9828a9fb348b57b74a7ae9e3def66e7f9d /exec failed with exit code 1
pull / test-models-linux (add, xnnpack-quantization-delegation, linux.2xlarge) / linux-job (gh)
RuntimeError: Command docker exec -t 6ede5fae8e585c969859c5411c959e0bb9dd94ec796b8c5031cdd2a8b281c875 /exec failed with exit code 1
pull / test-models-linux (emformer_join, xnnpack-quantization-delegation, linux.4xlarge.memory) / linux-job (gh)
RuntimeError: Command docker exec -t 43d9cbd6937aa884f2cee48edc6723a9441fbcd4221febfb550852c093889a91 /exec failed with exit code 1
pull / test-models-linux (emformer_transcribe, xnnpack-quantization-delegation, linux.2xlarge) / linux-job (gh)
RuntimeError: Command docker exec -t 61d8ee4964ab613e7986d5b49f6e2f000acb534be6ee766fd90d6f8591b34e08 /exec failed with exit code 1
pull / test-models-linux (ic3, xnnpack-quantization-delegation, linux.2xlarge) / linux-job (gh)
RuntimeError: Command docker exec -t 678427d1cf6ed46fcd22fa9aa98f739101eceef02ee0f9e6c789e19282a2b3d0 /exec failed with exit code 1
pull / test-models-linux (ic4, xnnpack-quantization-delegation, linux.4xlarge.memory) / linux-job (gh)
RuntimeError: Command docker exec -t 76c9d6bf44903036916eb74c7fa15607c80e65e70e6fae5bf6e2e2327601609e /exec failed with exit code 1
pull / test-models-linux (linear, xnnpack-quantization-delegation, linux.2xlarge) / linux-job (gh)
RuntimeError: Command docker exec -t 43121ed040fef19dd6c6ba56cb96c812fa83976f05957d677034e74489a947df /exec failed with exit code 1
pull / test-models-linux (mobilebert, xnnpack-quantization-delegation, linux.2xlarge) / linux-job (gh)
RuntimeError: Command docker exec -t c9640da30f1997c3c95071ff66fd24084c69eb6525cefe83c02476a31f81f145 /exec failed with exit code 1
pull / test-models-linux (mv2, xnnpack-quantization-delegation, linux.2xlarge) / linux-job (gh)
RuntimeError: Command docker exec -t 19b8df7dfb57662578bbcc6d72ea4e73b47a933c8b9762f13bf9cb9f1efde35d /exec failed with exit code 1
pull / test-models-linux (resnet18, xnnpack-quantization-delegation, linux.2xlarge) / linux-job (gh)
RuntimeError: Command docker exec -t 22b661e5e1abc93e56cebb6116ea520bf391ecb3f9e55282a0c5ab936a62febb /exec failed with exit code 1
pull / test-models-linux (resnet50, xnnpack-quantization-delegation, linux.2xlarge) / linux-job (gh)
RuntimeError: Command docker exec -t c2774828ad30811447c6e3c5d591d717d56690b1fa7e17dc55524e4dfc55b9c0 /exec failed with exit code 1
pull / test-models-linux-basic (mv3, xnnpack-quantization-delegation, buck2, linux.2xlarge, executorch-u... / linux-job (gh)
RuntimeError: Command docker exec -t 580e7919b2527bfa8fa050f5273cb00a2e4cc41bc27e2ea0c4df03a3b71a03a0 /exec failed with exit code 1
pull / test-models-linux-basic (mv3, xnnpack-quantization-delegation, cmake, linux.2xlarge, executorch-u... / linux-job (gh)
RuntimeError: Command docker exec -t 520a98099f325ce5fcaa62fa00b5474900918f0a7739c57e5ff9cfe63404ec7e /exec failed with exit code 1
pull / test-models-linux-basic (vit, xnnpack-quantization-delegation, buck2, linux.2xlarge, executorch-u... / linux-job (gh)
RuntimeError: Command docker exec -t 44e54170f5328a8cfcb031a41e61586a898e6228495281590958bd8135de05c1 /exec failed with exit code 1
pull / test-models-linux-basic (vit, xnnpack-quantization-delegation, cmake, linux.2xlarge, executorch-u... / linux-job (gh)
RuntimeError: Command docker exec -t 2b6b81a227f0a0b888170636efd6b97e9c2cf5bca7208ea764c00ddac26e2448 /exec failed with exit code 1
pull / test-multimodal-linux (gemma3-4b) / linux-job (gh)
RuntimeError: Command docker exec -t bfed6e96fcaf631175e6248ddd94d1cd74020134e7a0fe911baf108390c8760b /exec failed with exit code 1
pull / test-openvino-linux / linux-job (gh)
RuntimeError: Command docker exec -t 5b5a5f5816f450237536647d2b35e982466bd36eb2715678fced7e387e730856 /exec failed with exit code 1
pull / test-phi-3-mini-runner-linux / linux-job (gh)
AttributeError: '_OpNamespace' 'llama' object has no attribute 'sdpa_with_kv_cache'
pull / test-vulkan-models-linux / linux-job (gh)
RuntimeError: Command docker exec -t baf9c7addc674e07dc28a36cffc73bbd23e0917c17cd18a90131092d7122f8d0 /exec failed with exit code 1
pull / test-vulkan-operators-linux / linux-job (gh)
test_vulkan_delegate
pull / unittest / linux / linux-job (gh)
backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py::TestChannelsLastTaggedReshapePass::test_conv_linear_dim_order_swaps
pull / unittest-editable / linux / linux-job (gh)
backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py::TestChannelsLastTaggedReshapePass::test_conv_linear_dim_order_swaps
pull / unittest-nxp-neutron / linux-job (gh)
RuntimeError: Command docker exec -t 3d7fc450950fd1ec2b0e4eaa15bde4068d328f1b92ab7b5a69c4a369bddb2072 /exec failed with exit code 1
Test WebGPU Native (Dawn) / test-webgpu-native / linux-job (gh)
[ FAILED ] WebGPUNative.SdpaAllFamiliesRanWhenDirSet
trunk / test-arm-backend-ethos-u (test_deit_e2e_ethos_u) / linux-job (gh)
RuntimeError: Command docker exec -t 100348609b07b238cddb4a9600e1bfa363639d53e0aa62e9d7a51d63e5b2f9b4 /exec failed with exit code 1
trunk / test-arm-backend-ethos-u (test_model_smollm2_135M_ethos_u85) / linux-job (gh)
RuntimeError: Command docker exec -t c351507637d582d9c90ea9c2faba5b9320312db5cfbe7251e4ad2c2e65ba7090 /exec failed with exit code 1
trunk / test-arm-backend-ethos-u (test_ootb_tests_ethos_u) / linux-job (gh)
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trunk / test-arm-backend-ethos-u (test_ootb_tests_tosa) / linux-job (gh)
RuntimeError: Command docker exec -t a78e06fbbd8e37656132af14f813b95f7fcc0c072eab01060fae0b6e999c089b /exec failed with exit code 1
trunk / test-arm-backend-ethos-u (test_pytest_models_ethos_u55) / linux-job (gh)
RuntimeError: Command docker exec -t 3e7eb65d8bd0cc73a2e3c28b9ecd7d7cf39a31dd5b531b6541994cbb35cc4615 /exec failed with exit code 1
trunk / test-arm-backend-ethos-u (test_pytest_models_ethos_u85) / linux-job (gh)
RuntimeError: Command docker exec -t b66ce23d006cdf4cfeb6f83a92652ddb3255a4efb0e87e1b23d72df727eb3bcc /exec failed with exit code 1
trunk / test-arm-backend-ethos-u (test_pytest_ops_ethos_u55) / linux-job (gh)
RuntimeError: Command docker exec -t f52417e2c8860152f78ad44895a06a60ba7d4bfea566626041e00e079c2ee52a /exec failed with exit code 1
trunk / test-arm-backend-ethos-u (test_pytest_ops_ethos_u85) / linux-job (gh)
RuntimeError: Command docker exec -t ca3e81ce5240ac0d3daa274eef969c6d9f64553b0c35680d3c0e7c2cd82c4f89 /exec failed with exit code 1
trunk / test-arm-backend-vkml (test_pytest_models_vkml) / linux-job (gh)
RuntimeError: Command docker exec -t 8efe322ff5aa019e7633917811e8950b13a19b8c6cfc65305a902562328a11e9 /exec failed with exit code 1
trunk / test-arm-backend-vkml (test_pytest_ops_vkml) / linux-job (gh)
RuntimeError: Command docker exec -t f645c4d32f23e2377d7bfe1cca5fafbeecef32f3f498477eb00682d33558339a /exec failed with exit code 1
trunk / test-huggingface-transformers-xnnpack (gemma3-1b|xnnpack|--quantize) / linux-job (gh)
RuntimeError: Command docker exec -t 0cdc0ace6a859e124f60f5a32941af105230ec969fb47e2441ab9a409ecb7d91 /exec failed with exit code 1
trunk / test-huggingface-transformers-xnnpack (llama3.2-1b|xnnpack|--quantize) / linux-job (gh)
RuntimeError: Command docker exec -t 962002d367d5ec16c51ac45a01b4cde7ab5560f61bdf974a0459a534bf1201be /exec failed with exit code 1
trunk / test-huggingface-transformers-xnnpack (qwen3-0.6b|xnnpack|--quantize) / linux-job (gh)
RuntimeError: Command docker exec -t f9561693cfb25d153e4bf56178a47252d5710033d398a507d6114194bd4ccc5e /exec failed with exit code 1
trunk / test-huggingface-transformers-xnnpack (qwen3-1.7b|xnnpack|--quantize) / linux-job (gh)
RuntimeError: Command docker exec -t 217bfb13993f3be5cc04a7d33383c0173a91891dec8fde8ce8011f5f62417bdb /exec failed with exit code 1
trunk / test-huggingface-transformers-xnnpack (smollm2-135m|xnnpack|--quantize) / linux-job (gh)
RuntimeError: Command docker exec -t 7999be15cb088ebd91dfd49594f528a62a2858e401ab9c16c02a157bfbcca1da /exec failed with exit code 1
trunk / test-huggingface-transformers-xnnpack (smollm3-3b|xnnpack|--quantize) / linux-job (gh)
RuntimeError: Command docker exec -t e893533dfc663830ca8a98123d41e1f6846a044b8a39e0d540f5f2b32ac1494c /exec failed with exit code 1
trunk / test-llama-runner-linux (fp32, xnnpack+custom, linux.2xlarge, executorch-ubuntu-22.04-clang12) / linux-job (gh)
AttributeError: '_OpNamespace' 'llama' object has no attribute 'sdpa_with_kv_cache'
trunk / test-qnn-optimum-model (fp32, mobilevit_v1) / linux-job (gh)
RuntimeError: Command docker exec -t 47bafceea4ddf72405b7502e68485b593fe44e115e4e7c49d1528a680cc87259 /exec failed with exit code 1
trunk / test-torchao-huggingface-checkpoints (lfm2_5_1_2b, linux.2xlarge, executorch-ubuntu-22.04-clang12... / linux-job (gh)
AttributeError: '_OpNamespace' 'llama' object has no attribute 'sdpa_with_kv_cache'
trunk / test-torchao-huggingface-checkpoints (phi_4_mini, linux.2xlarge, executorch-ubuntu-22.04-clang12,... / linux-job (gh)
AttributeError: '_OpNamespace' 'llama' object has no attribute 'sdpa_with_kv_cache'
trunk / test-torchao-huggingface-checkpoints (qwen3_4b, linux.2xlarge, executorch-ubuntu-22.04-clang12, x... / linux-job (gh)
AttributeError: '_OpNamespace' 'llama' object has no attribute 'sdpa_with_kv_cache'
trunk / unittest-release / linux / linux-job (gh)
backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py::TestChannelsLastTaggedReshapePass::test_conv_linear_dim_order_swaps

CANCELLED JOB - The following job was cancelled. Please retry:

pull / test-arm-backend-no-driver (test_pytest_ops_tosa) / linux-job (gh)
##[error]The operation was canceled.

FLAKY - The following jobs failed but were likely due to flakiness present on trunk:

pull / test-arm-backend-no-driver (test_pytest_models_tosa) / linux-job (gh) (detected as infra flaky with no log or failing log classifier)
pull / unittest-editable / windows / windows-job (gh) (detected as infra flaky with no log or failing log classifier)

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[ghstack-poisoned]

A CUDA wheel can install cleanly, load its libraries, and still fail the moment a model runs, because GPU device code is compiled per architecture. If a wheel was built for one GPU generation, it is fine on that generation and broken everywhere else the release row promised, and the failure looks like a model problem rather than a packaging one. Add a check that reads the architectures the build asked for and confirms each one is present in the shipped accelerator libraries: ✓ device code covers every claimed GPU architecture: [80, 90, 100, 120] The check skips with a stated reason when a build named no architectures, so the CPU wheels are unaffected, and when the inspection tool is unavailable. ghstack-source-id: 2efc906 ghstack-comment-id: 5174656934 Pull-Request: #21567

[ghstack-poisoned]

A CUDA wheel can install cleanly, load its libraries, and still fail the moment a model runs, because GPU device code is compiled per architecture. If a wheel was built for one GPU generation, it is fine on that generation and broken everywhere else the release row promised, and the failure looks like a model problem rather than a packaging one. Add a check that reads the architectures the build asked for and confirms each one is present in the shipped accelerator libraries: ✓ device code covers every claimed GPU architecture: [80, 90, 100, 120] The check skips with a stated reason when a build named no architectures, so the CPU wheels are unaffected, and when the inspection tool is unavailable. ghstack-source-id: 2efc906 ghstack-comment-id: 5174656934 Pull-Request: #21567

[ghstack-poisoned]

A CUDA wheel can install cleanly, load its libraries, and still fail the moment a model runs, because GPU device code is compiled per architecture. If a wheel was built for one GPU generation, it is fine on that generation and broken everywhere else the release row promised, and the failure looks like a model problem rather than a packaging one. Add a check that reads the architectures the build asked for and confirms each one is present in the shipped accelerator libraries: ✓ device code covers every claimed GPU architecture: [80, 90, 100, 120] The check skips with a stated reason when a build named no architectures, so the CPU wheels are unaffected, and when the inspection tool is unavailable. ghstack-source-id: 04d67a7 ghstack-comment-id: 5174656934 Pull-Request: #21567

[ghstack-poisoned]

A CUDA wheel can install cleanly, load its libraries, and still fail the moment a model runs, because GPU device code is compiled per architecture. If a wheel was built for one GPU generation, it is fine on that generation and broken everywhere else the release row promised, and the failure looks like a model problem rather than a packaging one. Add a check that reads the architectures the build asked for and confirms each one is present in the shipped accelerator libraries: ✓ device code covers every claimed GPU architecture: [80, 90, 100, 120] The check skips with a stated reason when a build named no architectures, so the CPU wheels are unaffected, and when the inspection tool is unavailable. ghstack-source-id: dffdcff ghstack-comment-id: 5174656934 Pull-Request: #21567

[ghstack-poisoned]

A CUDA wheel can install cleanly, load its libraries, and still fail the moment a model runs, because GPU device code is compiled per architecture. If a wheel was built for one GPU generation, it is fine on that generation and broken everywhere else the release row promised, and the failure looks like a model problem rather than a packaging one. Add a check that reads the architectures the build asked for and confirms each one is present in the shipped accelerator libraries: ✓ device code covers every claimed GPU architecture: [80, 90, 100, 120] The check skips with a stated reason when a build named no architectures, so the CPU wheels are unaffected, and when the inspection tool is unavailable. ghstack-source-id: 3103a04 ghstack-comment-id: 5174656934 Pull-Request: #21567

[ghstack-poisoned]

A CUDA wheel can install cleanly, load its libraries, and still fail the moment a model runs, because GPU device code is compiled per architecture. If a wheel was built for one GPU generation, it is fine on that generation and broken everywhere else the release row promised, and the failure looks like a model problem rather than a packaging one. Add a check that reads the architectures the build asked for and confirms each one is present in the shipped accelerator libraries: ✓ device code covers every claimed GPU architecture: [80, 90, 100, 120] The check skips with a stated reason when a build named no architectures, so the CPU wheels are unaffected, and when the inspection tool is unavailable. ghstack-source-id: b2f2a6b ghstack-comment-id: 5174656934 Pull-Request: #21567

shoumikhin added 2 commits August 3, 2026 21:35

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Publish CUDA wheels so a GPU user does not build from source #21569

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Publish CUDA wheels so a GPU user does not build from source #21570

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Check the shipped device code covers the GPUs a wheel claims - #21567

Check the shipped device code covers the GPUs a wheel claims#21567
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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/21567

❗ 1 Active SEVs

❌ 57 New Failures, 1 Cancelled Job, 23 Pending, 2 Unrelated Failures

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