Comments (6)
I don't have enough information. What OS are you using?
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post the full stack trace. But kinda looks like you're missing nvcc
from mamba.
I had the same issue, bare_metal_version
is only defined in the setup.py
if the CUDA_HOME environment variable is set, but the 11.8 version check is outside of that if block:
Lines 100 to 113 in 009bec5
CUDA 11.8 was installed on my machine, so once I set the CUDA_HOME variable I could install the package.
Maybe an error message about CUDA_HOME would be helpful?
from mamba.
I had the same issue,
bare_metal_version
is only defined in thesetup.py
if the CUDA_HOME environment variable is set, but the 11.8 version check is outside of that if block:Lines 100 to 113 in 009bec5
CUDA 11.8 was installed on my machine, so once I set the CUDA_HOME variable I could install the package. Maybe an error message about CUDA_HOME would be helpful?
how do you set the home variable? I'm having this same issue. Thanks in advance
from mamba.
It depends on the location and version of your cuda installation, for me it was this:
export CUDA_HOME=/usr/local/cuda-11.8
from mamba.
Has this been solved? Thanks!
from mamba.
Related Issues (20)
- RuntimeError: CUDA error: unknown error
- How to calculate Flops for mamba_chunk_scan_combined and mamba_split_conv1d_scan_combined function HOT 1
- Replace mamba1 with mamba2 and training becomes very slow! HOT 2
- Implement a "crossmamba" block for different length sequences HOT 3
- How to use sequence parallelism in Mamba2?
- Changing expansion_factor resulted in 'c10::DistBackendError HOT 1
- Mamba for encoder-decoder HOT 2
- mamba_split_conv1d_scan_combined error HOT 1
- torch.cuda.amp.custom_fwd(args...) Deprecated
- Is it possible to get ssm_states at specific seq len instead of just the last state? HOT 1
- How to modify mambaV2 to set causal=False? HOT 3
- Reducing _chunk_scan_bwd_kernel computation HOT 4
- Exploding gradients if ngroups is higher than 1. HOT 3
- clarification on how to interpret kernel size for conv1d HOT 1
- Some questions about the shape of A,B,C,D HOT 5
- How can I avoid using causal-conv1d? HOT 11
- Is it okay to put S6(MAMBA) and gated MLP blocks like a transformer? (Also please open the discussion tab)
- Vanishing gradient problem with more layer HOT 1
- Results vary greatly across experiments
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