flashinfer.fused\_moe.CuTileFp8PerTensorBf16Runner
==================================================

.. currentmodule:: flashinfer.fused_moe

.. autoclass:: CuTileFp8PerTensorBf16Runner

   
   .. automethod:: __init__

   
   .. rubric:: Methods

   .. autosummary::
   
      ~CuTileFp8PerTensorBf16Runner.__init__
      ~CuTileFp8PerTensorBf16Runner.build
      ~CuTileFp8PerTensorBf16Runner.check_support
      ~CuTileFp8PerTensorBf16Runner.forward
      ~CuTileFp8PerTensorBf16Runner.get_cache_key_extras
      ~CuTileFp8PerTensorBf16Runner.get_valid_tactics
      ~CuTileFp8PerTensorBf16Runner.launch_kwargs_for
      ~CuTileFp8PerTensorBf16Runner.launch_state_for
      ~CuTileFp8PerTensorBf16Runner.pack_inputs
      ~CuTileFp8PerTensorBf16Runner.precompile_tactics
      ~CuTileFp8PerTensorBf16Runner.supports_quant
      ~CuTileFp8PerTensorBf16Runner.tuning_config_for
   
   

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~CuTileFp8PerTensorBf16Runner.backend_key
      ~CuTileFp8PerTensorBf16Runner.supported_activation_classes
      ~CuTileFp8PerTensorBf16Runner.supported_activation_classes_by_quant
      ~CuTileFp8PerTensorBf16Runner.supported_output_formats
      ~CuTileFp8PerTensorBf16Runner.supported_quant_variants
      ~CuTileFp8PerTensorBf16Runner.supported_routing_modes
      ~CuTileFp8PerTensorBf16Runner.supports_expert_parallelism
      ~CuTileFp8PerTensorBf16Runner.supports_fused_shared_experts
      ~CuTileFp8PerTensorBf16Runner.supports_nvfp4_4over6
      ~CuTileFp8PerTensorBf16Runner.config