58 lines
2.0 KiB
Python
58 lines
2.0 KiB
Python
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from typing import Callable, Dict, List, Union
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from torch.nn import Module
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from ixformer.train.speedformer.policy.utils import SubModuleReplacementDescription
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from ixformer.train.speedformer.policy.replacer import Replacer
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from ixformer.train.speedformer.layers.normalization import APEXFusedRMSNorm, IXFFusedRMSNorm
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from ixformer.train.speedformer.layers.chatglm.attention import ChatglmFlashAttention
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from ixformer.train.speedformer.layers.chatglm.methods import ChatGLMModel_forward
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class ChatglmReplacer(Replacer):
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def __init__(self):
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self.policy = {}
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def module_policy(self) -> Dict[str | Module, List[SubModuleReplacementDescription]]:
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self.append_or_create_submodule_replacement(
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description=[
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SubModuleReplacementDescription(
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suffix="final_layernorm",
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target_module=APEXFusedRMSNorm,
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kwargs={}
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),
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],
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target_key="GLMTransformer"
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)
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self.append_or_create_submodule_replacement(
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description=[
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SubModuleReplacementDescription(
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suffix="input_layernorm",
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target_module=APEXFusedRMSNorm,
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kwargs={}
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),
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SubModuleReplacementDescription(
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suffix="post_attention_layernorm",
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target_module=APEXFusedRMSNorm,
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kwargs={}
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),
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],
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target_key="GLMBlock"
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)
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self.append_or_create_submodule_replacement(
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description=[
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SubModuleReplacementDescription(
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suffix="self_attention",
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target_module=ChatglmFlashAttention,
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kwargs={}
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),
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],
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target_key="GLMBlock"
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)
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self.append_or_create_method_replacement(
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description=[
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{"forward": ChatGLMModel_forward()}
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],
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target_key="ChatGLMModel"
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)
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