o vi@stdZddlZddlmZddlmZ  d dededededBd edBd eddeefeeeeefBf d d ZdS)zo Imaginaire4 Attention Subpackage: Unified implementation for all Attention implementations. Varlen utilities N)Tensor)is_torch_compilingquerykeyvalue seqlens_Q seqlens_KVreturnc Cstrtd|jd|jdks|jd|jdkr2td|jdd|jdd|jdd|du|duArEtd|d|d|durO|durOd S|dusUJ|dus[Jt|tret|tsitd |j|jksu|j|jkrtd |jd |jd |jd|jtj ks|jtj krtd|jd|jd| dks| dkrtd| d| d|jd|jdkrtd|jd|jd|jddkrtd|jd|jd|jddkrtd|jdd| | krdks JJ|jd|jdkrdks!JJ|j|jkr1tj ks4JJ| }| }tj dgtj |jd}tj||dtj gdd}tj||dtj gdd} t|tssJt|ts{J|| ||fS)NzRunning 'generate_varlen_parameters' in a torch-compiled region is disallowed as it results in graph breaks. Please consider calling ahead of time and pass 'cumulative_seqlen_{Q,KV}' and 'max_seqlen_{Q,KV}' instead of 'seqlens_{Q,KV}' to 'attention'. rz9Q, K, and V must match in batch size, got query.shape[0]=z, key.shape[0]=z, value.shape[0]=.z]Variable length Attention requires both of seqlens_Q and seqlens_KV to be set, got seqlens_Q=z , seqlens_KV=)NNrrz.seqlens_Q and seqlens_KV must both be tensors.zQseqlens_Q and seqlens_KV must be on the same device as QKV, but seqlens_Q.device=z, seqlens_KV.device=z, query.device=zOseqlens_Q and seqlens_KV must both be torch.int32 tensors, got seqlens_Q.dtype=z, seqlens_KV.dtype=zGseqlens_Q and seqlens_KV must both be 1-D tensors, got seqlens_Q.dim()=z, seqlens_KV.dim()=zAseqlens_Q and seqlens_KV must match in size, got seqlens_Q.shape=z, seqlens_KV.shape=zPseqlens_Q and seqlens_KV must contain at least one element, got seqlens_Q.shape=zfVariable length attention only supports sequence-packed memory layout (batch = 1), got query.shape[0]=)dtypedevice)dim)r RuntimeErrorshape ValueError isinstancerr r torchint32rmaxitemtensorcatcumsumtoint) rrrrr max_seqlen_Q max_seqlen_KVzcumulative_seqlen_Qcumulative_seqlen_KVr!T/data/cameron/vidgen/cosmos-policy/cosmos_policy/_src/imaginaire/attention/varlen.pygenerate_varlen_parameterss ((  (,&    r#)NN)__doc__rr-cosmos_policy._src.imaginaire.attention.utilsrtuplerr#r!r!r!r"s&