Add support to export XNNPACK based static_llama #7535
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/7535
Note: Links to docs will display an error until the docs builds have been completed. ⏳ No Failures, 1 PendingAs of commit 68298e1 with merge base 68c0208 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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Summary: Add support to export XNNPACK based static_llama - static_llama is the QNN backend hybrid/prefill+decode model with KV cache as the inference input - https://www.internalfb.com/code/fbsource/fbcode/executorch/examples/qualcomm/oss_scripts/llama2/model/static_llama.py Reviewed By: tarun292 Differential Revision: D67867190
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Summary: Add support to export XNNPACK based static_llama - static_llama is the QNN backend hybrid/prefill+decode model with KV cache as the inference input - https://www.internalfb.com/code/fbsource/fbcode/executorch/examples/qualcomm/oss_scripts/llama2/model/static_llama.py Reviewed By: tarun292 Differential Revision: D67867190
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Summary: Add support to export XNNPACK based static_llama - static_llama is the QNN backend hybrid/prefill+decode model with KV cache as the inference input - https://www.internalfb.com/code/fbsource/fbcode/executorch/examples/qualcomm/oss_scripts/llama2/model/static_llama.py Reviewed By: tarun292 Differential Revision: D67867190
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Summary:
Add support to export XNNPACK based static_llama
Differential Revision: D67867190