| import importlib.util |
|
|
| from .cogvideox_xfuser import CogVideoXMultiGPUsAttnProcessor2_0 |
| from .fsdp import shard_model |
| from .fuser import (get_sequence_parallel_rank, |
| get_sequence_parallel_world_size, get_sp_group, |
| get_world_group, init_distributed_environment, |
| initialize_model_parallel, set_multi_gpus_devices, |
| xFuserLongContextAttention) |
| from .wan_xfuser import usp_attn_forward, usp_attn_s2v_forward |
| from .qwen_xfuser import QwenImageMultiGPUsAttnProcessor2_0 |
| from .flux_xfuser import FluxMultiGPUsAttnProcessor2_0 |
|
|
| |
| if importlib.util.find_spec("pai_fuser") is not None: |
| |
| def simple_wrapper(func): |
| def inner(*args, **kwargs): |
| return func(*args, **kwargs) |
| return inner |
|
|
| from pai_fuser.core import parallel_magvit_vae |
| from pai_fuser.core.attention import wan_usp_sparse_attention_wrapper |
| from . import wan_xfuser |
|
|
| usp_sparse_attn_wrap_forward = simple_wrapper(wan_usp_sparse_attention_wrapper()(wan_xfuser.usp_attn_forward)) |
| wan_xfuser.usp_attn_forward = usp_sparse_attn_wrap_forward |
| usp_attn_forward = usp_sparse_attn_wrap_forward |
| print("Import PAI VAE Turbo and Sparse Attention") |
|
|
| from pai_fuser.core.rope import ENABLE_KERNEL, usp_fast_rope_apply_qk |
|
|
| if ENABLE_KERNEL: |
| import torch |
| import types |
|
|
| def deepcopy_function(f): |
| return types.FunctionType(f.__code__, f.__globals__, name=f.__name__, argdefs=f.__defaults__,closure=f.__closure__) |
|
|
| local_rope_apply_qk = deepcopy_function(wan_xfuser.rope_apply_qk) |
| def adaptive_fast_usp_rope_apply_qk(q, k, grid_sizes, freqs): |
| if torch.is_grad_enabled(): |
| return local_rope_apply_qk(q, k, grid_sizes, freqs) |
| else: |
| return usp_fast_rope_apply_qk(q, k, grid_sizes, freqs) |
| |
| wan_xfuser.rope_apply_qk = adaptive_fast_usp_rope_apply_qk |
| rope_apply_qk = adaptive_fast_usp_rope_apply_qk |
| print("Import PAI Fast rope") |
|
|
