Python class

AttentionDispatchResolver

AttentionDispatchResolver

class max.nn.kv_cache.AttentionDispatchResolver(session, device, is_mla, n_kv_heads_per_device, num_q_heads_per_device=None, is_fp8_kv=False)

source

Bases: object

Resolves packed attention decode metadata via kernel custom ops.

Supports both MHA (mo.mha.decode.get_num_partitions) and MLA (mo.mla.compute_dispatch_args.scalar) decode kernels. The mode is selected automatically from kv_params.is_mla.

Parameters:

• session (InferenceSession)
• device (DeviceRef)
• is_mla (bool)
• n_kv_heads_per_device (int)
• num_q_heads_per_device (int | None)
• is_fp8_kv (bool)

Was this page helpful?

Thank you! We'll create more content like this.

Thank you for helping us improve!

😔 What went wrong?

Some code doesn’t work

It includes inaccurate information

It's missing information I need

It was difficult to understand

Other

Submit