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Python class

KVCacheInputsPerDevice

KVCacheInputsPerDevice

class max.nn.kv_cache.KVCacheInputsPerDevice(kv_blocks, cache_lengths, lookup_table, max_prompt_length, max_cache_length, kv_scales=None, attention_dispatch_metadata=None, draft_attention_dispatch_metadata=None, mla_num_partitions=None, draft_mla_num_partitions=None, kv_blocks_per_layer=None, kv_scales_per_layer=None)

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Bases: Generic[_Tensor, _Buffer]

Symbolic graph input types for a single device’s paged KV cache.

Parameters:

• kv_blocks (_Buffer)
• cache_lengths (_Tensor)
• lookup_table (_Tensor)
• max_prompt_length (_Tensor)
• max_cache_length (_Tensor)
• kv_scales (_Buffer | None)
• attention_dispatch_metadata (_Tensor | None)
• draft_attention_dispatch_metadata (_Tensor | None)
• mla_num_partitions (_Tensor | None)
• draft_mla_num_partitions (_Tensor | None)
• kv_blocks_per_layer (list[_Buffer] | None)
• kv_scales_per_layer (list[_Buffer] | None)

attention_dispatch_metadata

attention_dispatch_metadata: _Tensor | None = None

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cache_lengths

cache_lengths: _Tensor

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draft_attention_dispatch_metadata

draft_attention_dispatch_metadata: _Tensor | None = None

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draft_mla_num_partitions

draft_mla_num_partitions: _Tensor | None = None

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flatten()

flatten()

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Serialize fields into a flat list for graph input binding.

Return type:

list[_Tensor | _Buffer]

flatten_without_attention_dispatch_metadata()

flatten_without_attention_dispatch_metadata()

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Return type:

list[_Tensor | _Buffer]

kv_blocks

kv_blocks: _Buffer

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kv_blocks_per_layer

kv_blocks_per_layer: list[_Buffer] | None = None

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kv_scales

kv_scales: _Buffer | None = None

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kv_scales_per_layer

kv_scales_per_layer: list[_Buffer] | None = None

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lookup_table

lookup_table: _Tensor

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max_cache_length

max_cache_length: _Tensor

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max_prompt_length

max_prompt_length: _Tensor

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mla_num_partitions

mla_num_partitions: _Tensor | None = None

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unflatten()

unflatten(it)

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Reconstruct from a flat iterator produced by flatten.

Consumes next(it) in the same order flatten emits elements; the two methods must stay in lock-step.

Parameters:

it (Iterator[Any])

Return type:

KVCacheInputsPerDevice[TensorValue, BufferValue]