Readme warmup update #1512
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Readme warmup update #1512
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Signed-off-by: Agata Dobrzyniewicz <[email protected]>
adobrzyn
requested review from
kzawora-intel,
madamczyk-intel,
michalkuligowski,
mgawarkiewicz-intel,
vivekgoe,
afierka-intel,
xuechendi,
jikunshang,
mswiniarsk and
PatrykWo
as code owners
PatrykWo
reviewed
Jul 2, 2025
| @@ -198,7 +198,7 @@ Intel Gaudi accelerators perform best when operating on models with fixed tensor | |||
| generates optimized binary code that implements the given model topology on Gaudi. In its default configuration, the produced binary code may be highly dependent on input and output tensor shapes, requiring graph recompilation | |||
| when encountering tensors with different shapes within the same topology. While these binaries efficiently utilize Gaudi, the compilation process itself can introduce noticeable overhead in end-to-end execution. | |||
| In dynamic inference serving scenarios, minimizing the number of graph compilations and reducing the risk of graph compilation occurring during server runtime is important. Currently, this is achieved by | |||
| "bucketing" the model's forward pass across two dimensions: `batch_size` and `sequence_length`. | |||
| "bucketing" the model's forward pass across two dimensions: `batch_size`, `query_length` and `num_ctx_blocks`. | |||
There was a problem hiding this comment.
Please explain what ctx stands for. Some explanation.
PatrykWo
reviewed
Jul 2, 2025
| INFO 08-01 21:37:59 hpu_model_runner.py:499] Generated 24 prompt buckets: [(1, 128), (1, 256), (1, 384), (1, 512), (1, 640), (1, 768), (1, 896), (1, 1024), (2, 128), (2, 256), (2, 384), (2, 512), (2, 640), (2, 768), (2, 896), (2, 1024), (4, 128), (4, 256), (4, 384), (4, 512), (4, 640), (4, 768), (4, 896), (4, 1024)] | ||
| INFO 08-01 21:37:59 hpu_model_runner.py:504] Decode bucket config (min, step, max_warmup) bs:[1, 128, 4], seq:[128, 128, 2048] | ||
| INFO 08-01 21:37:59 hpu_model_runner.py:509] Generated 48 decode buckets: [(1, 128), (1, 256), (1, 384), (1, 512), (1, 640), (1, 768), (1, 896), (1, 1024), (1, 1152), (1, 1280), (1, 1408), (1, 1536), (1, 1664), (1, 1792), (1, 1920), (1, 2048), (2, 128), (2, 256), (2, 384), (2, 512), (2, 640), (2, 768), (2, 896), (2, 1024), (2, 1152), (2, 1280), (2, 1408), (2, 1536), (2, 1664), (2, 1792), (2, 1920), (2, 2048), (4, 128), (4, 256), (4, 384), (4, 512), (4, 640), (4, 768), (4, 896), (4, 1024), (4, 1152), (4, 1280), (4, 1408), (4, 1536), (4, 1664), (4, 1792), (4, 1920), (4, 2048)] | ||
| INFO 07-01 16:36:17 [exponential.py:88] Prompt bucket config (min, step, max_warmup, limit) bs:[1, 1, 32, 6], seq:[128, 128, 2048, 12] |
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