Related Issues (20)
- V2 Performance Signal Detected by TorchBench CI on '2.4.0.dev20240331+cu121' HOT 1
- V2 Performance Signal Detected by TorchBench CI on '2.4.0.dev20240401+cu121' HOT 1
- V3 Performance Signal Detected by TorchBench Userbenchmark "torch-nightly" on '2.4.0.dev20240401+cu121' HOT 1
- Reduce the size of the docker image HOT 2
- V2 Performance Signal Detected by TorchBench CI on '2.4.0.dev20240405+cu121' HOT 1
- V2 Performance Signal Detected by TorchBench CI on '2.4.0.dev20240406+cu121' HOT 1
- V3 Performance Signal Detected by TorchBench Userbenchmark "torch-nightly" on '2.4.0.dev20240405+cu121' HOT 1
- V2 Performance Signal Detected by TorchBench CI on '2.4.0.dev20240408+cu121'
- CI Failure because of sam_fast CUDA mem leak HOT 2
- V2 Performance Signal Detected by TorchBench CI on '2.4.0.dev20240420+cu121' HOT 1
- Reason for chosing `data point: i = 20, size = 1048576` for pyhpc benchmarks HOT 2
- Unable to install with the latest `pip` HOT 6
- RuntimeError When Enabling Accuracy Checks in DALLE2_pytorch Training on GPU. HOT 3
- Rolling the nightly release testing using the main branch
- V3 Performance Signal Detected by TorchBench Userbenchmark "torch-nightly" on '2.4.0.dev20240425+cu121' HOT 20
- RuntimeError When Enabling Accuracy Checks in yolov3 Training on GPU. HOT 3
- torchbench: torch.no_grad() not working for dynamo inductor backend HOT 4
- V3 Performance Signal Detected by TorchBench Userbenchmark "torch-nightly" on '2.4.0.dev20240509+cu121' HOT 1
- hf_Bert_large failed HOT 6
- Exported HF models contain SoftmaxCrossEntropyLoss node HOT 3
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