Mojo function
multistage_gemm
multistage_gemm[c_type: DType, a_type: DType, b_type: DType, //, *, transpose_b: Bool, config: MatmulConfig[a_type, b_type, c_type, transpose_b], elementwise_lambda_fn: Optional[elementwise_epilogue_type] = None](c: TileTensor[c_type, c.LayoutType, c.origin, address_space=c.address_space, linear_idx_type=c.linear_idx_type, element_size=c.element_size], a: TileTensor[a_type, a.LayoutType, a.origin, address_space=a.address_space, linear_idx_type=a.linear_idx_type, element_size=a.element_size], b: TileTensor[b_type, b.LayoutType, b.origin, address_space=b.address_space, linear_idx_type=b.linear_idx_type, element_size=b.element_size], ctx: DeviceContext)
TileTensor overload of multistage_gemm. Converts to LayoutTensor and dispatches to the appropriate GEMM kernel.
multistage_gemm[c_type: DType, a_type: DType, b_type: DType, //, *, transpose_b: Bool, config: MatmulConfig[a_type, b_type, c_type, transpose_b], elementwise_lambda_fn: Optional[elementwise_epilogue_type] = None](c: TileTensor[c_type, c.LayoutType, c.origin, address_space=c.address_space, linear_idx_type=c.linear_idx_type, element_size=c.element_size], a: TileTensor[a_type, a.LayoutType, a.origin, address_space=a.address_space, linear_idx_type=a.linear_idx_type, element_size=a.element_size], b: TileTensor[b_type, b.LayoutType, b.origin, address_space=b.address_space, linear_idx_type=b.linear_idx_type, element_size=b.element_size], runtime_config: MatmulConfig[a_type, b_type, c_type, transpose_b], ctx: DeviceContext)
TileTensor overload of multistage_gemm with runtime config. Constrains c to mut=True because split_k_reduce requires a mutable output tensor.
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