Related Issues (20)
- randn generates different output for 4x4 tensor size sliced to match shape of direct 2x4 or 4x2 and compare output HOT 1
- [feature request]: Update max onnx opset to 21 for onnxruntime==1.18 compatability
- ROCm 6.x appears Cannot find CO in the bundle libhipblaslt.so for ISA
- dynamo breaks when getting attributes of builtins
- tensordict functional calls with nn.Module silently gives the wrong (non-functional) result HOT 1
- dynamo doesn't support `__torch_function__` on non-tensor classes
- RuntimeError: "_amp_foreach_non_finite_check_and_unscale_cuda" not implemented for 'BFloat16' HOT 2
- When training done, the mode output same result each tensor input. ( I tried many way to debug, but can't find any way to fix it, so i guess this is a bug ) HOT 1
- RuntimeError: MPS device does not support bmm for non-float inputs
- [Distributed] gloo backend, barrier operation is even slower than broadcast
- [ONNX] metadata
- ERROR: Could not find a version that satisfies the requirement torch (from versions: none) HOT 1
- fatal: not a git repository: '.git' HOT 1
- `store_param_remainders` from Apex DistributedFusedAdam
- Unify async_save and sync_save in state_dict_saver from distributed checkpointing
- Segmentation fault when importing `sklearn.model_selection` HOT 2
- Should `torch.Size` convert np.ndarrays to lists of ints? HOT 1
- torch.topk results differ on CPU and CUDA
- Tensors of the same index must be on the same device and the same dtype except step tensors that can be CPU and float32 notwithstanding. HOT 4
- A UserWarning occurs after CBAM attention is added HOT 2
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