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(requested) support AMD 8GB GPUs via Windows DirectML

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this update is requested by users
This commit is contained in:
lllyasviel
2023-12-30 06:30:59 -08:00
committed by GitHub
parent c0e11c3451
commit 8e62a72a63
31 changed files with 402 additions and 148 deletions
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modules/patch_clip.py
+1 -19
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@@ -16,30 +16,12 @@ import ldm_patched.modules.samplers
import ldm_patched.modules.sd
import ldm_patched.modules.sd1_clip
import ldm_patched.modules.clip_vision
import ldm_patched.modules.model_management as model_management
import ldm_patched.modules.ops as ops
import contextlib
from modules.ops import use_patched_ops
from transformers import CLIPTextModel, CLIPTextConfig, modeling_utils, CLIPVisionConfig, CLIPVisionModelWithProjection
@contextlib.contextmanager
def use_patched_ops(operations):
op_names = ['Linear', 'Conv2d', 'Conv3d', 'GroupNorm', 'LayerNorm']
backups = {op_name: getattr(torch.nn, op_name) for op_name in op_names}
try:
for op_name in op_names:
setattr(torch.nn, op_name, getattr(operations, op_name))
yield
finally:
for op_name in op_names:
setattr(torch.nn, op_name, backups[op_name])
return
def patched_encode_token_weights(self, token_weight_pairs):
to_encode = list()
max_token_len = 0