# SFT (Supervised Fine-Tuning) submodule for kt-kernel # SPDX-License-Identifier: Apache-2.0 """ SFT training support for KT-Kernel MoE. This submodule adds training capabilities (forward/backward, LoRA, autograd, distributed) on top of the inference-only kt_kernel base package. Additional dependencies beyond base kt_kernel: torch.nn, torch.distributed, peft (optional). """ from .config import KTConfig from .base import BaseSFTMoEWrapper, KExpertsSFTBuffer from .amx import AMXSFTMoEWrapper from .arch import ( MOEArchConfig, get_moe_arch_config, get_moe_module, move_non_experts_to_gpu, get_expert_device, KTAMXError, KTAMXNotAvailableError, KTAMXModelNotSupportedError, KTAMXConfigError, ) from .autograd import KTMoEFunction from .layer import KTMoELayerWrapper from .weights import ( extract_moe_weights, load_experts_from_checkpoint_files, load_experts_from_kt_weight_path, INT8ExpertWeights, ) from .lora import ( kt_adapt_peft_lora, get_kt_lora_params, update_kt_lora_pointers, sync_kt_lora_gradients, save_lora_experts_to_adapter, save_kt_moe_to_adapter, load_lora_experts_from_adapter, load_kt_moe_from_adapter, LoRAExpertMLP, LoRAExperts, ) from .wrapper import ( wrap_moe_layers_with_kt_wrapper, build_kt_device_map, build_kt_device_map_simplified, get_kt_loading_kwargs, load_kt_model, ) __all__ = [ "KTConfig", "BaseSFTMoEWrapper", "KExpertsSFTBuffer", "AMXSFTMoEWrapper", "MOEArchConfig", "get_moe_arch_config", "get_moe_module", "move_non_experts_to_gpu", "get_expert_device", "KTAMXError", "KTAMXNotAvailableError", "KTAMXModelNotSupportedError", "KTAMXConfigError", "KTMoEFunction", "KTMoELayerWrapper", "extract_moe_weights", "load_experts_from_checkpoint_files", "load_experts_from_kt_weight_path", "INT8ExpertWeights", "kt_adapt_peft_lora", "get_kt_lora_params", "update_kt_lora_pointers", "sync_kt_lora_gradients", "save_lora_experts_to_adapter", "save_kt_moe_to_adapter", "load_lora_experts_from_adapter", "load_kt_moe_from_adapter", "LoRAExpertMLP", "LoRAExperts", "wrap_moe_layers_with_kt_wrapper", "build_kt_device_map", "build_kt_device_map_simplified", "get_kt_loading_kwargs", "load_kt_model", ]