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[NPU]:Replace 'cuda' in the project with abstract interfaces

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feng0w0
2026-01-15 20:34:52 +08:00
parent 19e429d889
commit 5c0b07d939
2 changed files with 2 additions and 2 deletions
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1
diffsynth/models/wan_video_dit.py
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@@ -5,7 +5,6 @@ import math
from typing import Tuple, Optional from typing import Tuple, Optional
from einops import rearrange from einops import rearrange
from .wan_video_camera_controller import SimpleAdapter from .wan_video_camera_controller import SimpleAdapter
from ..core.device.npu_compatible_device import IS_NPU_AVAILABLE
try: try:
import flash_attn_interface import flash_attn_interface

3
diffsynth/utils/xfuser/xdit_context_parallel.py
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@@ -5,7 +5,7 @@ from xfuser.core.distributed import (get_sequence_parallel_rank,
get_sequence_parallel_world_size, get_sequence_parallel_world_size,
get_sp_group) get_sp_group)
from xfuser.core.long_ctx_attention import xFuserLongContextAttention from xfuser.core.long_ctx_attention import xFuserLongContextAttention
from ...core.device import parse_nccl_backend, parse_device_type, IS_NPU_AVAILABLE from ...core.device import parse_nccl_backend, parse_device_type
def initialize_usp(device_type): def initialize_usp(device_type):
@@ -50,6 +50,7 @@ def rope_apply(x, freqs, num_heads):
sp_rank = get_sequence_parallel_rank() sp_rank = get_sequence_parallel_rank()
freqs = pad_freqs(freqs, s_per_rank * sp_size) freqs = pad_freqs(freqs, s_per_rank * sp_size)
freqs_rank = freqs[(sp_rank * s_per_rank):((sp_rank + 1) * s_per_rank), :, :] freqs_rank = freqs[(sp_rank * s_per_rank):((sp_rank + 1) * s_per_rank), :, :]
x_out = torch.view_as_real(x_out * freqs_rank).flatten(2) x_out = torch.view_as_real(x_out * freqs_rank).flatten(2)
return x_out.to(x.dtype) return x_out.to(x.dtype)