[msluszniak]

Summary

full, full_like, arange and scalar_tensor are lowered as static tensors, but the support check accepted them even when a value was computed in the graph. A fill_value from .item() (YOLO's torch.full(..., stride.item())) reached torch.full in op_full as a Node and crashed partitioning with a TypeError. Such ops now stay on CPU.

Test plan

New test_passes.py::TestPasses::test_full_with_runtime_fill_value_stays_on_cpu fails on main and passes here. test_passes.py and rework/passes/test.py give the same results as main; the x86-simulator full/full_like/arange operator tests pass.

cc @cccclai @winskuo-quic @shewu-quic @haowhsu-quic @DannyYuyang-quic @cbilgin @abhinaykukkadapu @psiddh @nil-is-all

[pytorch-bot]

🔗 Helpful Links

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❌ 4 New Failures

As of commit 7b2bf67 with merge base e6cfbf8 ():

NEW FAILURES - The following jobs have failed:

• pull / nxp-mcuxpresso-test / linux-job (gh)
  RuntimeError: Command bash /__w/_temp/exec_script failed with exit code 1
• pull / unittest-nxp-neutron / linux-job (gh)
  RuntimeError: Command bash /__w/_temp/exec_script failed with exit code 1
• Test WebGPU Backend / test-webgpu / test-backend-linux (webgpu, models) / linux-job (gh)
  curl: (22) The requested URL returned error:
• Test WebGPU Backend / test-webgpu / test-backend-linux (webgpu, operators) / linux-job (gh)
  curl: (22) The requested URL returned error:

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