[Bug] Intermittent precision failure in paged_attention test

[chenshengxin2026]

Platform

a2a3 (Ascend 910B/C hardware)

Runtime Variant

tensormap_and_ringbuffer

Description

The paged_attention device test (tests/device_tests/a2a3/tensormap_and_ringbuffer/paged_attention) exhibits intermittent precision verification failures. The test passes most runs but occasionally produces output that does not match golden values.

Steps to Reproduce

1. Use the batch test script `batch_pa_test.sh` to run the paged_attention test repeatedly (100 iterations):


bash batch_pa_test.sh


The script runs the test in a loop and stops early on the first precision failure.

2. Alternatively, run the test manually in a loop:


for i in $(seq 1 100); do
  python examples/scripts/run_example.py \
    -k tests/device_tests/a2a3/tensormap_and_ringbuffer/paged_attention/kernels \
    -g tests/device_tests/a2a3/tensormap_and_ringbuffer/paged_attention/golden.py \
    -p a2a3
done


The failure typically occurs within ~85 runs but can happen at any point.

Expected Behavior

All 100 runs should pass precision verification (100 PASSED, 0 PRECISION_FAILED).

Actual Behavior

The test fails intermittently with a precision mismatch:

[INFO] Comparing out: shape=torch.Size([256, 16, 128]), dtype=torch.float32
[ERROR] TEST FAILED: Output 'out' does not match golden.
Mismatched elements: 478/524288
rtol=0.001, atol=0.001

Git Commit ID

2757be6

CANN Version

No response

Driver Version

No response

Host Platform

Linux (x86_64)

Additional Context

No response

[ChaoZheng109]

can not reproduce issue