Mojo function

grouped_matmul

grouped_matmul[*, elementwise_lambda_fn: Optional[def[dtype: DType, width: Int, *, alignment: Int = 1](IndexList[2], SIMD[dtype, width]) capturing -> None] = None](c: TileTensor[c.dtype, c.LayoutType, c.origin, linear_idx_type=c.linear_idx_type, element_size=c.element_size], a: TileTensor[a.dtype, a.LayoutType, a.origin, linear_idx_type=a.linear_idx_type, element_size=a.element_size], b: TileTensor[b.dtype, b.LayoutType, b.origin, linear_idx_type=b.linear_idx_type, element_size=b.element_size], a_offsets: TileTensor[DType.uint32, a_offsets.LayoutType, a_offsets.origin, linear_idx_type=a_offsets.linear_idx_type, element_size=a_offsets.element_size], expert_ids: TileTensor[DType.int32, expert_ids.LayoutType, expert_ids.origin, linear_idx_type=expert_ids.linear_idx_type, element_size=expert_ids.element_size], max_num_tokens_per_expert: Int, num_active_experts: Int, ctx: DeviceContext)

TileTensor primary implementation of grouped_matmul.

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