Comments (4)
crcrpar
commented on June 2, 2024
2
at glance NVIDIA/TransformerEngine@0729102 could be related
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crcrpar
commented on June 2, 2024
1
you needn't, the discussion is going in the pr I referenced :)
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mpatel31415
commented on June 2, 2024
Should I report it in TransformerEngine repo then?
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mpatel31415
commented on June 2, 2024
I think the issue was resolved and it's doesn't happen anymore.
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Related Issues (20)
- Recursion error in transformer module with NeMo Stable Diffusion HOT 3
- Hang using thunder.jit with tokenizer in NeMo Stable Diffusion HOT 5
- Constraints to insert static numbers
- CI: Re-Enable torchrun call in Zero to Thunder notebook
- dtype inconsistencies when dividing/rounding tensors
- thunder.jit of AutoEncoder in NeMo Stable Diffusion slower than eager HOT 4
- Dynamic shape needs to be modeled in trace
- OOM errors for Gemma-7, pythia-12b, Llama-2-13b-hf and Nous-Hermes-13b with FSDP zero3 and 2x8 H100 HOT 1
- Refine recording of source locations HOT 5
- Nous-Hermes-13b on 1x8 H100 FSDP zero2 with thunder_cudnn is 23% slower than with inductor
- fsdp(jit(...)) transform can use more memory compared to jit(fsdp(...)) HOT 1
- nvfuserex has problems taking getitem. HOT 3
- load/save_state_dict hooks for early transforms
- Training Llama-2-13b-hf on 2x8 H100 with Thunder inductor is 47% slower than with Inductor
- FP8 Linear and conv with cudnn HOT 1
- Support RN50 BatchNorm fusions with cudnn
- CI : PyTorch nightly CI failing with `FutureWarning: is_compiling is deprecated. Use torch.compiler.is_compiling() instead.`
- Distill API for module transformations from distributed / quantization uses of ThunderModule attributes
- TransformerEngine API changed and caused test failure `AttributeError: 'TELinear' object has no attribute 'fp8_weight_shapes'`
- FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
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