Qualcomm AI Engine Direct - documentation for KV cache update #8134
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/8134
Note: Links to docs will display an error until the docs builds have been completed. ❗ 1 Active SEVsThere are 1 currently active SEVs. If your PR is affected, please view them below: ⏳ No Failures, 2 PendingAs of commit 2d11538 with merge base 62e49ce ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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Hi @cccclai, PR for documenting KV cache update mechanism. Please have a look, thank you. |
summary - visualize KV cache update mechanism for better understanding - asset folder for storing diagrams
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| We offer the following modes to execute the model: | ||
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| Prefill Mode: This is also known as batch prefill mode, where the model takes in a list of tokens as input and generates the next token along with the key-value (KV) cache for all tokens. This mode is efficient for generating the initial sequence of tokens (usually the user's prompt). | ||
| Prefill Mode: This is also known as batch prefill mode, where the model takes in a list of tokens as input and generates the next token along with the key-value (KV) cache for all tokens. This mode is efficient for encoding the user's prompt. | ||
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| KV Cache Mode: In KV Cache mode, the model takes in a single previous token and generates the next predicted token along with its KV cache. It is efficient for generating subsequent tokens after the initial prompt. |
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Let's rename it to generate mode, as this term isn't used very common and a bit confusing
cccclai
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Feb 5, 2025
This was referenced Feb 11, 2025
This was referenced Feb 24, 2025
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