yekta

I'm having the same problem. Are there any good workarounds?

According to the docs, Vercel edge-runtime does support the web version of `crypto`: https://edge-runtime.vercel.app/features/available-apis#web-crypto-apis. It's not the node version I'm aware but I don't think the error I'm getting is...

> Is there an example code to reproduce this? I just created one: https://github.com/yekta/dynamic-require-of-crypto With a SvelteKit barebones demo setup, you just need to install the `ethers` package and call...

I'm having the exact same problem.

Thanks for the PR. The feature was already suggested before a couple of times and we have an implementation in mind (which we couldn't get to implementing yet). Since we...

> You can try nvcr 23:12 with flash-attn 2.5.1. Or compile from source. nvcr 23:12 is `CUDA 12.3.0` and flash-attn 2.5.1 release doesn't have a 12.3 version. Does that supposed...

> Try it. I'm wondering about the reason for your suggestion if it wasn't clear.

> nvcr 23.12 uses pytorch nightly 2.2.0.dev20231106. flash-attn compiled wheels with pytorch nightly up to version 2.5.1, after that pytorch 2.2.0 official was released and we compiled wheels with pytorch...

> Try it. Getting a different error this time: ```ImportError: /app/venv/lib/python3.10/site-packages/flash_attn_2_cuda.cpython-310-x86_64-linux-gnu.so: undefined symbol: _ZN2at4_ops5zeros4callEN3c108ArrayRefINS2_6SymIntEEENS2_8optionalINS2_10ScalarTypeEEENS6_INS2_6LayoutEEENS6_INS2_6DeviceEEENS6_IbEE``` I'm guessing because of this: "nvcr 23:12 is CUDA 12.3.0 and flash-attn 2.5.1 release doesn't have...

> 12.3 and 12.2 should be compatible. I've just tried nvcr pytorch 23.12 and it works fine > > ``` > docker run --rm -it --gpus all --network="host" --shm-size=900gb nvcr.io/nvidia/pytorch:23.12-py3...