mirror of https://github.com/hpcaitech/ColossalAI
78 lines
2.9 KiB
Python
78 lines
2.9 KiB
Python
from functools import partial
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import torch
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from colossalai.shardformer.modeling.chatglm2_6b.modeling_chatglm import (
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ChatGLMForConditionalGeneration,
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ChatGLMModel,
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GLMBlock,
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GLMTransformer,
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SelfAttention,
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)
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# import colossalai
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from colossalai.shardformer.policies.chatglm2 import ChatGLMModelPolicy
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from ..modeling.chatglm2 import ChatGLM2InferenceForwards, _init_to_get_rotary
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try:
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from colossalai.kernel.triton.rms_norm import rmsnorm_forward
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HAS_TRITON_RMSNORM = True
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except:
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print("you should install triton from https://github.com/openai/triton")
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HAS_TRITON_RMSNORM = False
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class ChatGLM2InferPolicy(ChatGLMModelPolicy):
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def __init__(self) -> None:
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super().__init__()
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def module_policy(self):
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policy = super().module_policy()
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self.shard_config._infer()
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model_infer_forward = ChatGLM2InferenceForwards.chatglm_model_forward
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method_replacement = {'forward': model_infer_forward}
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self.append_or_create_method_replacement(description=method_replacement, policy=policy, target_key=ChatGLMModel)
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encoder_infer_forward = ChatGLM2InferenceForwards.chatglm_encoder_forward
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method_replacement = {'forward': encoder_infer_forward}
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self.append_or_create_method_replacement(description=method_replacement,
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policy=policy,
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target_key=GLMTransformer)
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encoder_layer_infer_forward = ChatGLM2InferenceForwards.chatglm_glmblock_forward
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method_replacement = {'forward': encoder_layer_infer_forward}
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self.append_or_create_method_replacement(description=method_replacement, policy=policy, target_key=GLMBlock)
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attn_infer_forward = ChatGLM2InferenceForwards.chatglm_flash_attn_kvcache_forward
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method_replacement = {'forward': attn_infer_forward}
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self.append_or_create_method_replacement(description=method_replacement,
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policy=policy,
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target_key=SelfAttention)
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# for rmsnorm and others, we need to check the shape
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return policy
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def postprocess(self):
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_init_to_get_rotary(self.model)
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return self.model
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class ChatGLM2ForConditionalGenerationInferPolicy(ChatGLM2InferPolicy):
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def __init__(self) -> None:
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super().__init__()
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def module_policy(self):
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policy = super().module_policy()
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model_infer_forward = ChatGLM2InferenceForwards.chatglm_for_conditional_generation_forward
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method_replacement = {'forward': partial(model_infer_forward)}
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self.append_or_create_method_replacement(description=method_replacement,
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policy=policy,
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target_key=ChatGLMForConditionalGeneration)
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return policy
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def postprocess(self):
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return super().postprocess()
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