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from typing import Callable, Optional |
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from .triposg_transformer import TripoSGDiTModel |
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def default_set_attn_proc_func( |
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name: str, |
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hidden_size: int, |
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cross_attention_dim: Optional[int], |
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ori_attn_proc: object, |
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) -> object: |
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return ori_attn_proc |
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def set_transformer_attn_processor( |
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transformer: TripoSGDiTModel, |
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set_self_attn_proc_func: Callable = default_set_attn_proc_func, |
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set_cross_attn_1_proc_func: Callable = default_set_attn_proc_func, |
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set_cross_attn_2_proc_func: Callable = default_set_attn_proc_func, |
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set_self_attn_module_names: Optional[list[str]] = None, |
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set_cross_attn_1_module_names: Optional[list[str]] = None, |
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set_cross_attn_2_module_names: Optional[list[str]] = None, |
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) -> None: |
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do_set_processor = lambda name, module_names: ( |
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any([name.startswith(module_name) for module_name in module_names]) |
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if module_names is not None |
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else True |
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) |
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attn_procs = {} |
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for name, attn_processor in transformer.attn_processors.items(): |
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hidden_size = transformer.config.width |
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if name.endswith("attn1.processor"): |
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attn_procs[name] = ( |
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set_self_attn_proc_func(name, hidden_size, None, attn_processor) |
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if do_set_processor(name, set_self_attn_module_names) |
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else attn_processor |
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) |
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elif name.endswith("attn2.processor"): |
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cross_attention_dim = transformer.config.cross_attention_dim |
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attn_procs[name] = ( |
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set_cross_attn_1_proc_func( |
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name, hidden_size, cross_attention_dim, attn_processor |
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) |
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if do_set_processor(name, set_cross_attn_1_module_names) |
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else attn_processor |
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) |
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elif name.endswith("attn2_2.processor"): |
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cross_attention_dim = transformer.config.cross_attention_2_dim |
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attn_procs[name] = ( |
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set_cross_attn_2_proc_func( |
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name, hidden_size, cross_attention_dim, attn_processor |
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) |
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if do_set_processor(name, set_cross_attn_2_module_names) |
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else attn_processor |
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) |
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transformer.set_attn_processor(attn_procs) |
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