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 module
max.pipelines.modeling.dataprocessing
Batch collation
PaddingDirection | Padding (from) direction for batch collation. |
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batch_padded_tokens_and_mask | Batches input tokens and computes a batched attention mask. |
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collate_batch | Generates a single batch tensor from a batch of inputs. |
Attention masks
causal_attention_mask | Builds a causal attention mask for a batch of variable-length sequences. |
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causal_attention_mask_with_token_mask | Builds a causal attention mask and additionally masks invalid tokens. |
Utilities
max_tokens_to_generate | Returns the maximum number of new tokens to generate. |
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