Comments (1)
This is fixed by isolating tests with different processes.
from benchmark.
Related Issues (20)
- V3 Performance Signal Detected by TorchBench Userbenchmark "torch-nightly" on '1ed8e26791ba21e84011782d55f4904788976685' HOT 2
- V3 Performance Signal Detected by TorchBench Userbenchmark "torch-nightly" on 'b68f93b094cb6e922359e12adf4c9e1bc7ec650d' HOT 2
- V3 Performance Signal Detected by TorchBench Userbenchmark "torch-nightly" on 'eb8dedaa361f5c61ea08044e4ae513145b5ac250' HOT 2
- V3 Performance Signal Detected by TorchBench Userbenchmark "torch-nightly" on '50f7a03676c9c35f4d16168113febb42dabc4c51' HOT 2
- V2 Performance Signal Detected by TorchBench CI on '2.3.0.dev20231227+cu118' HOT 1
- V3 Performance Signal Detected by TorchBench Userbenchmark "torch-nightly" on 'ef28de986bb0540a4cd8f569f7b0b973a2ae26f6' HOT 2
- V3 Performance Signal Detected by TorchBench Userbenchmark "torch-nightly" on '7d163a986134babccca102d575db123974e95d83' HOT 2
- V3 Performance Signal Detected by TorchBench Userbenchmark "torch-nightly" on 'a87500edd636dc80d1814094102e845f0c96218e' HOT 2
- Fix model_flops feature on PT2 HOT 1
- Refactor inductor options HOT 1
- Use CPU-only instance to run the CPU tests
- e10cfdd8953 regresses hf_Longformer-cuda-eager on pytorch 2024-01-16 HOT 3
- Tracking failed bisection HOT 4
- Test Performance Issue Creation
- V2 Performance Signal Detected by TorchBench CI on '2.3.0.dev20240130+cu121' HOT 1
- V2 Performance Signal Detected by TorchBench CI on '2.3.0.dev20240204+cu121' HOT 1
- V3 Performance Signal Detected by TorchBench Userbenchmark "torch-nightly" on '2.3.0.dev20240201+cu121' HOT 1
- V3 Performance Signal Detected by TorchBench Userbenchmark "torch-nightly" on '2.3.0.dev20240201+cu121'
- V2 Performance Signal Detected by TorchBench CI on '2.3.0.dev20240208+cu121' HOT 1
- V2 Performance Signal Detected by TorchBench CI on '2.3.0.dev20240209+cu121'
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from benchmark.