support CPU inference - use pytorch-implementation when xformers isn't installed #48
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saart
changed the title
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| def memory_efficient_attention(query, key, value, p): | ||
| """ This code is taken from https://facebookresearch.github.io/xformers/components/ops.html """ |
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"""
A simplified PyTorch implementation of memory-efficient attention.
Assumes inputs are already reshaped to 4D [batch, heads, seq_len, head_dim].
This implementation is SLOWER and LESS MEMORY-EFFICIENT than xformers,
and does NOT SUPPORT attn_bias.
Args:
query (Tensor): shape (batch, heads, seq_len, head_dim)
key (Tensor): shape (batch, heads, seq_len, head_dim)
value (Tensor): shape (batch, heads, seq_len, head_dim)
p (float): dropout probability. Default: 0.0 (no dropout)
attn_bias: NOT SUPPORTED IN THIS FALLBACK.
scale (float, optional): scaling factor for the dot product. If None,
defaults to 1 / sqrt(head_dim).
Returns:
Tensor: shape (batch, heads, seq_len, head_dim)
"""
Its batter to replace the comment with this, it will improve the developer experience.
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In the latest version the line |
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