File size: 2,049 Bytes
72268ee |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 |
def get_attention_shapes(attention_shapes, max_seq_len, cache_batch_size, n_heads, n_kv_heads, head_dim):
if attention_shapes is not None:
attention_shapes = attention_shapes
elif n_kv_heads == 0:
attention_shapes = {
# following fastertransformer definition
"cache_v": (cache_batch_size, n_heads, max_seq_len, head_dim,),
# 8: pack 8 fp16 in FT, if fp32 then use 4
"cache_k": (cache_batch_size, n_heads, head_dim // 8, max_seq_len, 8,),
"xqkv_view": (-1, n_heads, head_dim),
"xq_slice": lambda xqkv: xqkv[:, :, 0],
"xk_slice": lambda xqkv: xqkv[:, :, 1],
"xv_slice": lambda xqkv: xqkv[:, :, 2],
"xq_view": (n_heads, head_dim),
"xk_view": (n_heads, head_dim),
"xv_view": (n_heads, head_dim),
"xk_reshape": (n_heads, head_dim // 8, 8),
"single_xq_view": (n_heads, head_dim),
"single_xk_view": (n_heads, head_dim),
"single_xv_view": (n_heads, head_dim)
}
else:
attention_shapes = {
# following fastertransformer definition
"cache_v": (cache_batch_size, n_kv_heads, max_seq_len, head_dim,),
# 8: pack 8 fp16 in FT, if fp32 then use 4
"cache_k": (cache_batch_size, n_kv_heads, head_dim // 8, max_seq_len, 8,),
"xqkv_view": (n_heads + n_kv_heads * 2, head_dim),
"xq_slice": lambda xqkv: xqkv[:, :, 0 : n_heads],
"xk_slice": lambda xqkv: xqkv[:, :, n_heads : (n_heads + n_kv_heads)],
"xv_slice": lambda xqkv: xqkv[:, :, -n_kv_heads :],
"xq_view": (n_heads, head_dim),
"xk_view": (n_kv_heads, head_dim),
"xv_view": (n_kv_heads, head_dim),
"xk_reshape": (n_kv_heads, head_dim // 8, 8),
"single_xq_view": (n_heads, head_dim),
"single_xk_view": (n_kv_heads, head_dim),
"single_xv_view": (n_kv_heads, head_dim)
}
return attention_shapes |