**From Frustration To Solution: My 'selective_scan_cuda' Breakthrough!**

There seems to be a problem with compatibility between cuda, cudnn, and tensorflow. I'm currently struggling with an issue where my code cant seem to find my gpu. Fast mamba kernels are not available.

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Make sure to they are installed and that the mamba module is on a cuda device. How to fix this. He fast path is not available. Based on the original blog summary of mamba environment installation pitfalls and solutions, the mamba environment is installed without bypassing selective_scan_cuda, so that the same.

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I'm using the m1 chip version of macos and python3. 10 pytorch2. 2. 1 natively tried to use mamba_ssm. ops. selective_scan_interface native, so i tried to skip here, the truth is that it. /r/stablediffusion is back open after the protest of reddit killing open api access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site. How can i solve it? There's no module `selective_scan_cuda`, `selective_scan_core` or `selective_scan_cuda_test` in our project. We only have `selective_scan_cuda_core`, `selective_scan_cuda_oflex` and.

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