Comments (3)
- Test name:
test_transformerdecoder (__main__.TestNN)
- Platforms for which to skip the test: dynamo
- Disabled by
pytorch-bot[bot]
Within ~15 minutes, test_transformerdecoder (__main__.TestNN)
will be disabled in PyTorch CI for these platforms: dynamo. Please verify that your test name looks correct, e.g., test_cuda_assert_async (__main__.TestCuda)
.
To modify the platforms list, please include a line in the issue body, like below. The default action will disable the test for all platforms if no platforms list is specified.
Platforms: case-insensitive, list, of, platforms
We currently support the following platforms: asan, dynamo, inductor, linux, mac, macos, rocm, slow, win, windows.
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Another case of trunk flakiness has been found here. The list of platforms [dynamo] appears to contain all the recently affected platforms [dynamo]. Either the change didn't propogate fast enough or disable bot might be broken.
from pytorch.
Resolving the issue because the test is not flaky anymore after 1050 reruns without any failures and the issue hasn't been updated in 14 days. Please reopen the issue to re-disable the test if you think this is a false positive
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Related Issues (20)
- torch.compile doesn't work well with custom triton kernel from Mamba HOT 2
- Linear is not deterministic even using deterministic algorithms and cpu HOT 10
- [Inductor] Fusion of Tiled Point-Wise and Reduction Operators
- Improve debugability of warnings/errors "Triggered internally at" HOT 5
- [dynamo] DAC: 'AudioSignal' object has no attribute 'sample_rate'
- reduce_scatter_tensor with strided inputs produces corrupted results HOT 1
- Dynamo Graph break in Unsupported: call_method ConstDictVariable()
- [user empathy day 2][based] torch.compile issues
- Map with multiple arguments not supported in Dynamo and causes graph breaks HOT 2
- inductor error when torch.compile on distrifuser
- [User Empathy Day 2] non-deterministic recompiles for ChatTTS model
- [user empathy day 2] dynamo raises exception when tracing super(Fraction, cls).__new__(cls)
- custom ops with needs_fixed_stride_order doesn't work with auto_functionalized HOT 1
- `slice step cannot be zero` HOT 3
- Verify that guards are well formed before concluding that Dynamo complication has succeeded
- DISABLED inductor / cuda12.1-py3.10-gcc9-sm80 / test (inductor_torchbench_smoketest_perf) HOT 2
- [inductor] error in graph lowering and graph breaks
- Vmap batching rule support for torch.isin
- Import Error: cannot import name 'XNNPACKQuantizer' from 'torch.ao.quantization.quantizer'
- A trivial but annoying bug in random_split HOT 4
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