For the complete documentation index, see llms.txt. Markdown versions of all pages are available by appending .md to any URL (e.g. /max/get-started.md).

Python class

LoRAInputs

LoRAInputs

class max.pipelines.lora.LoRAInputs(ids, ranks, grouped_offsets, num_active, end_idx, batch_seq_len)

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Bases: object

Per-batch LoRA buffers passed to a model graph.

Fields are ordered to match the graph’s LoRA input signature. Use buffers() to splice them into a model ABI call.

Parameters:

• ids (Buffer)
• ranks (Buffer)
• grouped_offsets (Buffer)
• num_active (Buffer)
• end_idx (Buffer)
• batch_seq_len (Buffer)

batch_seq_len

batch_seq_len: Buffer

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buffers()

buffers()

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Returns the buffers in canonical (field-declaration) order.

Return type:

tuple[Buffer, …]

end_idx

end_idx: Buffer

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grouped_offsets

grouped_offsets: Buffer

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ids

ids: Buffer

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num_active

num_active: Buffer

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ranks

ranks: Buffer

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