Guide-yakabatana mibvunzo · Zvakaoma Nhanho

Sequence Parallelism uye Ring Attention Quiz

Dzidzira Ring Attention block kutamiswa, online softmax, uye causal mutoro kuenzanisa, kusanganisira iyo miganho yekutaurirana inopindirana pamidziyo yese.

Nzira dzekutungamira dzinoenderanaSequence Parallelism Uye Mhete Kutarisa
Mubvunzo 1 ye 8

Ndeapi dimension iyo kutevedzana kufanana kunopatsanura iyo data?

Tarisa mubvunzo wese8 mibvunzo

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

  1. Ndeapi dimension iyo kutevedzana kufanana kunopatsanura iyo data?
    • Iyo yakavanzika / chimiro chimiro
    • Chiratidzo (sequence) dimension
    • Iyo batch dimension chete
    • Nhamba yezvikamu
  2. Chii chinonzi Ring Attention inopfuura pakati peGPUs dzakarongwa mumhete?
    • Uremu hwemhando yakazara
    • Optimizer inoti
    • Final logits
    • Makiyi / kukosha mabhuroko
  3. How can Ring Attention combine partial attention blocks without approximating the full attention pattern?
    • Online softmax with a running maximum and normalizer
    • Randomly dropping unseen key blocks
    • Truncating every distant key
    • Replacing all attention scores with zeros
  4. Nei Ring Attention isingade chero GPU imwe chete kuchengetedza iyo yakazara K/V?
    • Inorasa makiyi mazhinji
    • Inoshandisa modhi diki
    • K/V inofambiswa mumabhuroko uye zvikamu zvishoma chete ndizvo zvinounganidzwa
    • Attention inofungidzirwa, kwete chaiyo
  5. When can Ring Attention reduce the exposed time spent transferring K/V blocks?
    • Whenever the model has any number of parameters
    • Only when every device stores the full sequence
    • By eliminating all transfers between devices
    • When useful block computation overlaps those transfers
  6. Ndeipi dambudziko rinounzwa necausal masking yeRing Attention load balancing?
    • Inoita kuti modhi isasiyane
    • Gare gare ma tokeni anoenda kune mamwe makiyi, zvichikonzera kusaenzana kwekushanda paGPU
    • Inobvisa kudiwa kwemhete
    • Inowedzera kaviri parameter count
  7. A new Ring Attention block has larger attention scores than previous blocks. Why rescale the earlier softmax sums?
    • To discard the earlier keys permanently
    • To replace all token embeddings
    • To keep accumulated terms consistent with the updated running maximum
    • Kuderedza saizi yemazwi
  8. Under causal masking with contiguous sequence shards, which tokens can require more attention work?
    • Later tokens that can attend to more preceding positions
    • All tokens require exactly one key
    • Only padding tokens at the start
    • Earlier tokens because they can see the future