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Mojo struct
Struct_ep_dispatch_wait_fp8
struct Struct_ep_dispatch_wait_fp8
Registers the ep.dispatch_wait.fp8 graph op with the graph compiler.
Implemented traits
Methods
execute
static def execute[dispatch_dtype: DType, dispatch_scale_dtype: DType, hidden_size: Int, top_k: Int, n_experts: Int, max_token_per_rank: Int, n_gpus_per_node: Int, n_nodes: Int, dispatch_scale_granularity: StringSlice[ImmStaticOrigin], //, target: StringSlice[ImmStaticOrigin], num_input_tokens: Int = Int(-1)](output_tokens: ManagedTensorSlice[IOSpec[_, _].Output, static_spec=output_tokens.static_spec], output_scales: ManagedTensorSlice[IOSpec[_, _].Output, static_spec=output_scales.static_spec], row_offsets: ManagedTensorSlice[IOSpec[_, _].Output, static_spec=row_offsets.static_spec], expert_ids: ManagedTensorSlice[IOSpec[_, _].Output, static_spec=expert_ids.static_spec], src_info: ManagedTensorSlice[IOSpec[_, _].Output, static_spec=src_info.static_spec], atomic_counters: ManagedTensorSlice[IOSpec[_, _].MutableInput, static_spec=atomic_counters.static_spec], recv_ptrs: ManagedTensorSlice[IOSpec[_, _].Input, static_spec=recv_ptrs.static_spec], recv_count_ptrs: ManagedTensorSlice[IOSpec[_, _].Input, static_spec=recv_count_ptrs.static_spec], context: DeviceContext)
Execute the Expert Parallelism dispatch completion kernel. Received tokens are in Blockwise FP8 format.