I seem to have solved part of the problem by replacing everything in the 'xformers' folder with the contents of the folder of the same name after downloading the zip file of this version here: https://github.com/facebookresearch/xformers/releases/tag/v0.0.24
Doing so enabled me to do inpainting tasks without problems. However, when trying img2img I get this error:
-
It was not possible to generate your image!
-
Error: No operator found for memory_efficient_attention_forward with inputs:
query : shape=(1, 2, 1, 40) (torch.float32)
key : shape=(1, 2, 1, 40) (torch.float32)
value : shape=(1, 2, 1, 40) (torch.float32)
attn_bias : <class 'NoneType'>
p : 0.0
decoderF is not supported because:
xFormers wasn't build with CUDA support
attn_bias type is <class 'NoneType'>
operator wasn't built - see python -m xformers.info for more info
flshattF@0.0.0 is not supported because:
xFormers wasn't build with CUDA support
dtype=torch.float32 (supported: {torch.float16, torch.bfloat16})
operator wasn't built - see python -m xformers.info for more info
tritonflashattF is not supported because:
xFormers wasn't build with CUDA support
dtype=torch.float32 (supported: {torch.float16, torch.bfloat16})
operator wasn't built - see python -m xformers.info for more info
triton is not available
cutlassF is not supported because:
xFormers wasn't build with CUDA support
operator wasn't built - see python -m xformers.info for more info
smallkF is not supported because:
max(query.shape[-1] != value.shape[-1]) > 32
xFormers wasn't build with CUDA support
operator wasn't built - see python -m xformers.info for more info
unsupported embed per head: 40.
I think it may be related to this other error that comes up first:
WARNING[XFORMERS]: Need to compile C++ extensions to use all xFormers features.
Please install xformers properly (see https://github.com/facebookresearch/xformers#installing-xformers)
Memory-efficient attention, SwiGLU, sparse and more won't be available.
Set XFORMERS_MORE_DETAILS=1 for more details
txt2img works fine.
I seem to have solved part of the problem by replacing everything in the 'xformers' folder with the contents of the folder of the same name after downloading the zip file of this version here: https://github.com/facebookresearch/xformers/releases/tag/v0.0.24
Doing so enabled me to do inpainting tasks without problems. However, when trying img2img I get this error:
It was not possible to generate your image!
Error: No operator found for
memory_efficient_attention_forwardwith inputs:query : shape=(1, 2, 1, 40) (torch.float32)
key : shape=(1, 2, 1, 40) (torch.float32)
value : shape=(1, 2, 1, 40) (torch.float32)
attn_bias : <class 'NoneType'>
p : 0.0
decoderFis not supported because:xFormers wasn't build with CUDA support
attn_bias type is <class 'NoneType'>
operator wasn't built - see
python -m xformers.infofor more infoflshattF@0.0.0is not supported because:xFormers wasn't build with CUDA support
dtype=torch.float32 (supported: {torch.float16, torch.bfloat16})
operator wasn't built - see
python -m xformers.infofor more infotritonflashattFis not supported because:xFormers wasn't build with CUDA support
dtype=torch.float32 (supported: {torch.float16, torch.bfloat16})
operator wasn't built - see
python -m xformers.infofor more infotriton is not available
cutlassFis not supported because:xFormers wasn't build with CUDA support
operator wasn't built - see
python -m xformers.infofor more infosmallkFis not supported because:max(query.shape[-1] != value.shape[-1]) > 32
xFormers wasn't build with CUDA support
operator wasn't built - see
python -m xformers.infofor more infounsupported embed per head: 40.
I think it may be related to this other error that comes up first:
WARNING[XFORMERS]: Need to compile C++ extensions to use all xFormers features.
Please install xformers properly (see https://github.com/facebookresearch/xformers#installing-xformers)
Memory-efficient attention, SwiGLU, sparse and more won't be available.
Set XFORMERS_MORE_DETAILS=1 for more details
txt2img works fine.