How to solve this？Error messages that occur when a "memory_efficient_attention_forward" operation is invoked in a specific context

[ab1314625]

No operator found for memory_efficient_attention_forward with inputs:
query : shape=(24, 4352, 1, 128) (torch.bfloat16)
key : shape=(24, 4352, 1, 128) (torch.bfloat16)
value : shape=(24, 4352, 1, 128) (torch.bfloat16)
attn_bias : <class 'NoneType'>
p : 0.0
decoderF is not supported because:
attn_bias type is <class 'NoneType'>
bf16 is only supported on A100+ GPUs
[email protected] is not supported because:
requires device with capability > (8, 0) but your GPU has capability (7, 5) (too old)
bf16 is only supported on A100+ GPUs
cutlassF is not supported because:
bf16 is only supported on A100+ GPUs
smallkF is not supported because:
max(query.shape[-1] != value.shape[-1]) > 32
dtype=torch.bfloat16 (supported: {torch.float32})
bf16 is only supported on A100+ GPUs
unsupported embed per head: 128