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not working due memory_efficient_attention_forward & xFormers wasn't build with CUDA support #103

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bipinpeter opened this issue Nov 5, 2024 · 0 comments

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@bipinpeter
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I keep geting this msg and its not working"

No operator found for memory_efficient_attention_forward with inputs:
query : shape=(1, 577, 16, 64) (torch.float16)
key : shape=(1, 577, 16, 64) (torch.float16)
value : shape=(1, 577, 16, 64) (torch.float16)
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
operator wasn't built - see python -m xformers.info for more info
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
dtype=torch.float16 (supported: {torch.float32})
has custom scale
operator wasn't built - see python -m xformers.info for more info
unsupported embed per head: 64

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