23 авг. 2021 г. · My advice is always: if you have a CUDA error, run your code on CPU and check if you're getting a more helpful error message.

21 июл. 2023 г. · I am getting the same error. RuntimeError: CUDA error: device-side assert triggered. Compile with TORCH_USE_CUDA_DSA to enable device-side ...

21 янв. 2024 г. · I'll have resize token embeddings before running inference to get around out of bound warnings/errors: model.resize_token_embeddings(len(tokenizer))

3 апр. 2023 г. · I am experiencing an assertion error in ScatterGatherKernel.cu when using LlamaTokenizer and multi-GPU inference with any variant of Llama model.

28 янв. 2024 г. · I would recommend you to set CUDA_LAUNCH_BLOCKING=1 and add a breakpoint to see where this is happening. Usually at the embedding layer, when the tokenizer has ...

28 июн. 2024 г. · For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.

7 окт. 2020 г. · When I run the GPU (google colab) I always get RuntimeError: CUDA error: device-side assert triggered, with huggingface. When I convert to CPU, it works fine, ...

23 нояб. 2021 г. · ... Hugging Face, it must be initialized and run on a CPU device. Running it directly on a GPU device might cause device-side assertion errors.

1 февр. 2024 г. · I'm currently trying to fine-tune the HuggingFaceH4/zephyr-7b-beta by splitting the model to multiple GPUs. I have 4 RTX 4090 available, but I get an error ...

30 окт. 2024 г. · That error says CUDA, but it's actually an error that often appears in places that have nothing to do with CUDA. Sometimes it can be fixed by tweaking the ...