causal_conv1d_fwd(): incompatible function arguments

[a912289748]

No description provided.

[FilippoBotti]

Same issue, do you find out how to solve it?

TypeError: causal_conv1d_fwd(): incompatible function arguments. The following argument types are supported: 1. (arg0: torch.Tensor, arg1: torch.Tensor, arg2: Optional[torch.Tensor], arg3: Optional[torch.Tensor], arg4: Optional[torch.Tensor], arg5: Optional[torch.Tensor], arg6: bool) -> torch.Tensor

[Dexterp37]

@FilippoBotti that's likely because it's using the wrong causal-conv1d version. Instead of using the vendored version, pinning it to version 1.1.0 makes it work (I wrote a short tutorial about how to use Vision Mamba for image classification )

[FilippoBotti]

@FilippoBotti that's likely because it's using the wrong causal-conv1d version. Instead of using the vendored version, pinning it to version 1.1.0 makes it work (I wrote a short tutorial about how to use Vision Mamba for image classification )

It works, thanks!

[Jamesgender]

It works, thanks!

[bingo-G]

@FilippoBotti that's likely because it's using the wrong causal-conv1d version. Instead of using the vendored version, pinning it to version 1.1.0 makes it work (I wrote a short tutorial about how to use Vision Mamba for image classification )

It works, thanks!

[uxhao-o]

I have been successfully run. Environment follows:
cuda 11.8
python 3.10.13
pytorch 2.1.1
causal_conv1d 1.1.1
mamba-ssm 1.2.0.post1

pip install torch==2.1.1 torchvision==0.16.1 torchaudio==2.1.1 --index-url https://download.pytorch.org/whl/cu118
pip install causal_conv1d==1.1.1
pip install mamba-ssm==1.2.0.post1
# copy mamba-ssm dir in vim to conda env site-package dir
cp -rf mamba-1p1p1/mamba_ssm /opt/miniconda3/envs/mamba/lib/python3.10/site-packages

[dandeperson]

我已经成功运行了。环境如下： cuda 11.8 python 3.10.13 pytorch 2.1.1 causal_conv1d 1.1.1 mamba-ssm 1.2.0.post1

pip install torch==2.1.1 torchvision==0.16.1 torchaudio==2.1.1 --index-url https://download.pytorch.org/whl/cu118
pip install causal_conv1d==1.1.1
pip install mamba-ssm==1.2.0.post1
# copy mamba-ssm dir in vim to conda env site-package dir
cp -rf mamba-1p1p1/mamba_ssm /opt/miniconda3/envs/mamba/lib/python3.10/site-packages

我也是相同的配置，但是我仍然报错TypeError: causal_conv1d_fwd(): incompatible function arguments. The following argument types are supported: 1. (arg0: torch.Tensor, arg1: torch.Tensor, arg2: Optional[torch.Tensor], arg3: Optional[torch.Tensor], arg4: bool) -> torch.Tensor

[ph-marra]

Hi, I stumbled in the same error today and pinning causal-conv1d to 1.1.0 did not work while trying to run MambaLMHeadModel found in mamba_ssm/models/mixer_seq_simple.py.

I made it work instead by locally installing causal-conv1d in version v1.2.0.post2 :

git clone https://github.com/Dao-AILab/causal-conv1d
cd causal-conv1d
git checkout v1.2.0.post2
pip install .

The problem stems from the addition of two new parameters here.

[mazzzystar]

same issue here, solved by

pip install -U causal_conv1d

I got version of

Successfully installed causal_conv1d-1.2.0.post2

[LFY2002]

same issue here, solved by

pip install -U causal_conv1d

I got version of

Successfully installed causal_conv1d-1.2.0.post2

ubuntu 22.04 有效

[Yiwen233]

same issue here, solved by

pip install -U causal_conv1d

I got version of

Successfully installed causal_conv1d-1.2.0.post2

It works for me, thanks a lot

[poult-lab]

vendored version

it works, thank you

[chenshaobin]

@FilippoBotti that's likely because it's using the wrong causal-conv1d version. Instead of using the vendored version, pinning it to version 1.1.0 makes it work (I wrote a short tutorial about how to use Vision Mamba for image classification )

It work!!!

[Kimjinjinwoo]

@FilippoBotti that's likely because it's using the wrong causal-conv1d version. Instead of using the vendored version, pinning it to version 1.1.0 makes it work (I wrote a short tutorial about how to use Vision Mamba for image classification )

It works to me, thank you !!!

[Joeland4]

Hi, I stumbled in the same error today and pinning causal-conv1d to 1.1.0 did not work while trying to run MambaLMHeadModel found in mamba_ssm/models/mixer_seq_simple.py.

I made it work instead by locally installing causal-conv1d in version v1.2.0.post2 :

git clone https://github.com/Dao-AILab/causal-conv1d
cd causal-conv1d
git checkout v1.2.0.post2
pip install .

The problem stems from the addition of two new parameters here.

nice, it works