Fix w8a8_int8 model shared experts fusion load weights error (#5120)
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@@ -1480,6 +1480,16 @@ class DeepseekV2ForCausalLM(nn.Module):
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if self.n_share_experts_fusion is not None and self.n_share_experts_fusion > 0:
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if self.n_share_experts_fusion is not None and self.n_share_experts_fusion > 0:
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weights_list = list(weights)
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weights_list = list(weights)
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weights_dict = dict(weights_list)
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weights_dict = dict(weights_list)
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if self.quant_config.get_name() == "w8a8_int8":
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suffix_list = [
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"down_proj.weight",
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"down_proj.weight_scale",
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"gate_proj.weight",
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"gate_proj.weight_scale",
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"up_proj.weight",
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"up_proj.weight_scale",
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]
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else:
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suffix_list = [
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suffix_list = [
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"down_proj.weight",
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"down_proj.weight",
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"down_proj.weight_scale_inv",
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"down_proj.weight_scale_inv",
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